Variants of Dynamic Link Architecture Based on Mathematical Morphology for Frontal Face Authentication. - Anastasios Tefas; Constantine Kotropoulos; Ioannis Pitas (CVPR, 1998)

Face Verification based on Morphological Shape Decomposition. - Anastasios Tefas; Constantine Kotropoulos; Ioannis Pitas (FG, 1998)

Face authentication using variants of elastic graph matching based on mathematical morphology that incorporate local discriminant coefficients. - Constantine Kotropoulos; Anastasios Tefas; Ioannis Pitas (ICASSP, 1998)

Frontal Face Authentication using Variants of Dynamic Link Matching Based on Mathematical Morphology. - Costas Kotropoulos; Anastasios Tefas; Ioannis Pitas (ICIP (1), 1998)

Compensating for variable recording conditions in frontal face authentication algorithms. - Anastasios Tefas; Yann Menguy; Constantine Kotropoulos; Gaël Richard; Ioannis Pitas; Philip Lockwood (ICASSP, 1999)

Morphological Elastic Graph Matching Applied to Frontal Face Authentication under Optimal and Real Conditions. - Constantine Kotropoulos; Anastasios Tefas; Ioannis Pitas (ICMCS, Vol. 2, 1999)

Multi Modal Verification for Teleservices and Security Applications (M2VTS). - Gaël Richard; Yann Menguy; I. Guis; N. Suaudeau; Jérôme Boudy; Philip Lockwood; C. Fernández; Fernando Fernández; Constantine Kotropoulos; Anastasios Tefas; Ioannis Pitas; R. Heimgartner; et al. (ICMCS, Vol. 2, 1999)

Performance assessment of morphological dynamic link architecture under optimal and real operating conditions. - Costas Kotropoulos; Anastasios Tefas; Ioannis Pitas; C. Fernández; F. Fernández (NSIP, 1999)

Image authentication and tamper proofing using mathematical morphology. - Anastasios Tefas; Ioannis Pitas (EUSIPCO, 2000)

Face authentication by using elastic graph matching and support vector machines. - Anastasios Tefas; Constantine Kotropoulos; Ioannis Pitas (ICASSP, 2000)

Using Support Vector Machines for Face Authentication Based on Elastic Graph Matching. - Anastasios Tefas; Constantine Kotropoulos; Ioannis Pitas (ICIP, 2000)

Multi-Bit Image Watermarking Robust to Geometric Distortions. - Anastasios Tefas; Ioannis Pitas (ICIP, 2000)

Comparison of Face Verification Results on the XM2VTS Database. - Jiri Matas; Miroslav Hamouz; Kenneth Jonsson; Josef Kittler; Yongping Li; Constantine Kotropoulos; Anastasios Tefas; Ioannis Pitas; Teewoon Tan; Hong Yan 001; Fabrizio Smeraldi; N. Capdevielle; et al. (ICPR, 2000)

Image authentication using chaotic mixing systems. - Anastasios Tefas; Ioannis Pitas (ISCAS, 2000)

Morphological elastic graph matching applied to frontal face authentication under well-controlled and real conditions. - Constantine Kotropoulos; Anastasios Tefas; Ioannis Pitas (Pattern Recognit., 2000)

Frontal face authentication using morphological elastic graph matching. - Constantine Kotropoulos; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Image Process., 2000)

Frontal Face Authentication Using Discriminating Grids with Morphological Feature Vectors. - Constantine Kotropoulos; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Multim., 2000)

Theoretic Performance Analysis of a Watermarking System based on Bernoulli Chaotic Sequences. - Sofia Tsekeridou; Vassilios Solachidis; Nikos Nikolaidis 001; Athanasios Nikolaidis; Anastasios Tefas; Ioannis Pitas (Communications and Multimedia Security, 2001)

Robust spatial image watermarking using progressive detection. - Anastasios Tefas; Ioannis Pitas (ICASSP, 2001)

Bernoulli shift generated chaotic watermarks: theoretic investigation. - Sofia Tsekeridou; Vassilios Solachidis; Nikos Nikolaidis 001; Athanasios Nikolaidis; Anastasios Tefas; Ioannis Pitas (ICASSP, 2001)

A survey on watermarking application scenarios and related attacks. - Athanasios Nikolaidis; Sofia Tsekeridou; Anastasios Tefas; Vassilios Solachidis (ICIP (3), 2001)

A benchmarking protocol for watermarking methods. - Nikos Nikolaidis 001; Sofia Tsekeridou; Anastasios Tefas; Vassilios Solachidis; Athanasios Nikolaidis; Ioannis Pitas (ICIP (3), 2001)

Statistical analysis of Markov chaotic sequences for watermarking applications. - Anastasios Tefas; Athanasios Nikolaidis; Nikos Nikolaidis 001; Vassilios Solachidis; Sofia Tsekeridou; Ioannis Pitas (ISCAS (2), 2001)

Using Support Vector Machines to Enhance the Performance of Elastic Graph Matching for Frontal Face Authentication. - Anastasios Tefas; Constantine Kotropoulos; Ioannis Pitas (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Image authentication techniques for surveillance applications. - Franco Bartolini; Anastasios Tefas; Mauro Barni; Ioannis Pitas (Proc. IEEE, 2001)

Statistical analysis of a watermarking system based on Bernoulli chaotic sequences. - Sofia Tsekeridou; Vassilios Solachidis; Nikos Nikolaidis 001; Athanasios Nikolaidis; Anastasios Tefas; Ioannis Pitas (Signal Process., 2001)

3D image watermarking robust to geometric distortions. - Anastasios Tefas; Giorgos Louizis; Ioannis Pitas (ICASSP, 2002)

Copyright protection of 3D images using watermarks of specific spatial structure. - Giorgos Louizis; Anastasios Tefas; Ioannis Pitas (ICME (2), 2002)

Watermark detection: benchmarking perspectives. - Nikos Nikolaidis 001; Vassilios Solachidis; Anastasios Tefas; Ioannis Pitas (ICME (2), 2002)

Face verification using elastic graph matching based on morphological signal decomposition. - Anastasios Tefas; Constantine Kotropoulos; Ioannis Pitas (Signal Process., 2002)

Watermarking of 3D models using principal component analysis. - Andreas Kalivas; Anastasios Tefas; Ioannis Pitas (ICASSP (5), 2003)

Improving the detection reliability of correlation-based watermarking techniques. - Alexia Giannoula; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (ICME, 2003)

Robust multibit audio watermarking in the temporal domain. - Charalampos Laftsidis; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (ISCAS (2), 2003)

Performance analysis of correlation-based watermarking schemes employing Markov chaotic sequences. - Anastasios Tefas; Athanasios Nikolaidis; Nikos Nikolaidis 001; Vassilios Solachidis; Sofia Tsekeridou; Ioannis Pitas (IEEE Trans. Signal Process., 2003)

Chaoticwatermark sequences for correlation-based schemes. - Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (EUSIPCO, 2004)

A blind robust watermarking scheme for copyright protection of 3d mesh models. - Stefanos Zafeiriou; Anastasios Tefas; Ioannis Pitas (ICIP, 2004)

Linear discriminant feature selection techniques in elastic graph matching. - Stefanos Zafeiriou; Anastasios Tefas; Ioannis Pitas (EUSIPCO, 2005)

Class-Specific Discriminant Non-negative Matrix Factorization for Frontal Face Verification. - Stefanos Zafeiriou; Anastasios Tefas; Ioan Buciu; Ioannis Pitas (ICAPR (2), 2005)

Methods for improving discriminant analysis for face authentication. - Marios Kyperountas; Anastasios Tefas; Ioannis Pitas (ICASSP (2), 2005)

Enhanced transform-domain correlation-based audio watermarking. - Anastasios Tefas; Alexia Giannoula; Nikos Nikolaidis 001; Ioannis Pitas (ICASSP (2), 2005)

Exploiting discriminant information in elastic graph matching. - Stefanos Zafeiriou; Anastasios Tefas; Ioannis Pitas (ICIP (3), 2005)

Blind Robust Watermarking Schemes for Copyright Protection of 3D Mesh Objects. - Stefanos Zafeiriou; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Vis. Comput. Graph., 2005)

Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification. - Stefanos Zafeiriou; Anastasios Tefas; Ioan Buciu; Ioannis Pitas (IEEE Trans. Neural Networks, 2006)

Discriminant Graph Structures for Face Verification. - Stefanos Zafeiriou; Anastasios Tefas; Ioannis Pitas (ICASSP (1), 2007)

A Novel Kernel Discriminant Analysis for Face Verification. - Georgios Goudelis; Stefanos Zafeiriou; Anastasios Tefas; Ioannis Pitas (ICIP (4), 2007)

Face Verification using Locally Linear Discriminant Models. - Marios Kyperountas; Anastasios Tefas; Ioannis Pitas (ICIP (4), 2007)

The discriminant elastic graph matching algorithm applied to frontal face verification. - Stefanos Zafeiriou; Anastasios Tefas; Ioannis Pitas (Pattern Recognit., 2007)

Class-Specific Kernel-Discriminant Analysis for Face Verification. - Georgios Goudelis; Stefanos Zafeiriou; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Inf. Forensics Secur., 2007)

Learning Discriminant Person-Specific Facial Models Using Expandable Graphs. - Stefanos Zafeiriou; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Inf. Forensics Secur., 2007)

Minimum Class Variance Support Vector Machines. - Stefanos Zafeiriou; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Image Process., 2007)

Weighted Piecewise LDA for Solving the Small Sample Size Problem in Face Verification. - Marios Kyperountas; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Neural Networks, 2007)

Human movement recognition using fuzzy clustering and discriminant analysis. - Nikolaos Gkalelis; Anastasios Tefas; Ioannis Pitas (EUSIPCO, 2008)

Gender determination using a Support Vector Machine Variant. - Stefanos Zafeiriou; Anastasios Tefas; Ioannis Pitas (EUSIPCO, 2008)

Motivating class-specific nonlinear projections for single and multiple view face verification. - Georgios Goudelis; Stefanos Zafeiriou; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (ICIP, 2008)

Face recognition via adaptive discriminant clustering. - Marios Kyperountas; Anastasios Tefas; Ioannis Pitas (ICIP, 2008)

Sparse human movement representation and recognition. - Nikolaos Gkalelis; Anastasios Tefas; Ioannis Pitas (MMSP, 2008)

An Online Self-Balancing Binary Search Tree for Hierarchical Shape Matching. - Nikolaos Tsapanos; Anastasios Tefas; Ioannis Pitas (VISAPP (1), 2008)

Emerging biometric modalities: a survey. - Georgios Goudelis; Anastasios Tefas; Ioannis Pitas (J. Multimodal User Interfaces, 2008)

Dynamic training using multistage clustering for face recognition. - Marios Kyperountas; Anastasios Tefas; Ioannis Pitas (Pattern Recognit., 2008)

Combining Fuzzy Vector Quantization With Linear Discriminant Analysis for Continuous Human Movement Recognition. - Nikolaos Gkalelis; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Circuits Syst. Video Technol., 2008)

Automated Facial Pose Extraction From Video Sequences Based on Mutual Information. - Georgios Goudelis; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Circuits Syst. Video Technol., 2008)

Using mutual information to indicate facial poses in video sequences. - Georgios Goudelis; Anastasios Tefas; Ioannis Pitas (CIVR, 2009)

Fusion of Movement Specific Human Identification Experts. - Nikolaos Gkalelis; Anastasios Tefas; Ioannis Pitas (COST 2101/2102 Conference, 2009)

Human identification from human movements. - Nikolaos Gkalelis; Anastasios Tefas; Ioannis Pitas (ICIP, 2009)

Pairwise facial expression classification. - Marios Kyperountas; Anastasios Tefas; Ioannis Pitas (MMSP, 2009)

Using Particle Swarm Optimization for scaling and rotation invariant face detection. - Ermioni Marami; Anastasios Tefas (IEEE Congress on Evolutionary Computation, 2010)

Improving the Robustness of Subspace Learning Techniques for Facial Expression Recognition. - Dimitris Bolis; Anastasios Maronidis; Anastasios Tefas; Ioannis Pitas (ICANN (1), 2010)

Frontal View Recognition Using Spectral Clustering and Subspace Learning Methods. - Anastasios Maronidis; Anastasios Tefas; Ioannis Pitas (ICANN (1), 2010)

Neural Networks Training for Weapon Selection in First-Person Shooter Games. - Stelios Petrakis; Anastasios Tefas (ICANN (3), 2010)

Dynamic Shape Learning and Forgetting. - Nikolaos Tsapanos; Anastasios Tefas; Ioannis Pitas (ICANN (3), 2010)

Subclass Error Correcting Output Codes Using Fisher's Linear Discriminant Ratio. - Nikolaos Arvanitopoulos; Dimitrios Bouzas; Anastasios Tefas (ICPR, 2010)

Optimizing subclass discriminant Error Correcting Output Codes using particle swarm optimization. - Dimitrios Bouzas; Nikolaos Arvanitopoulos; Anastasios Tefas (IJCNN, 2010)

Mutual Information Measures for Subclass Error-Correcting Output Codes Classification. - Nikolaos Arvanitopoulos; Dimitrios Bouzas; Anastasios Tefas (SETN, 2010)

Face Detection Using Particle Swarm Optimization and Support Vector Machines. - Ermioni Marami; Anastasios Tefas (SETN, 2010)

Online shape learning using binary search trees. - Nikolaos Tsapanos; Anastasios Tefas; Ioannis Pitas (Image Vis. Comput., 2010)

Salient feature and reliable classifier selection for facial expression classification. - Marios Kyperountas; Anastasios Tefas; Ioannis Pitas (Pattern Recognit., 2010)

Intelligent Multimedia Analysis for Emerging Biometrics. - Georgios Goudelis; Anastasios Tefas; Ioannis Pitas (Intelligent Multimedia Analysis for Security Applications, 2010)

Recent advances in discriminant non-negative Matrix Factorization. - Symeon Nikitidis; Anastasios Tefas; Ioannis Pitas (ACPR, 2011)

Learning Human Identity Using View-Invariant Multi-view Movement Representation. - Alexandros Iosifidis; Anastasios Tefas; Nikolaos Nikolaidis 001; Ioannis Pitas (BIOID, 2011)

Entropy-Based Iterative Face Classification. - Marios Kyperountas; Anastasios Tefas; Ioannis Pitas (BIOID, 2011)

Person specific activity recognition using fuzzy learning and Discriminant Analysis. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (EUSIPCO, 2011)

Using subclasses in discriminant non-negative subspace learning for facial expression recognition. - Symeon Nikitidis; Anastasios Tefas; Ioannis Pitas (EUSIPCO, 2011)

Optimizing Linear Discriminant Error Correcting Output Codes Using Particle Swarm Optimization. - Dimitrios Bouzas; Nikolaos Arvanitopoulos; Anastasios Tefas (ICANN (2), 2011)

Facial expression recognition using clustering discriminant Non-negative Matrix Factorization. - Symeon Nikitidis; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (ICIP, 2011)

Nutrition Assistance Based on Skin Color Segmentation and Support Vector Machines. - Ermioni Marami; Anastasios Tefas; Ioannis Pitas (ICMMI, 2011)

Human Centered Interfaces for Assisted Living. - Anastasios Tefas; Ioannis Pitas (ICMMI, 2011)

Improving subspace learning for facial expression recognition using person dependent and geometrically enriched training sets. - Anastasios Maronidis; Dimitris Bolis; Anastasios Tefas; Ioannis Pitas (Neural Networks, 2011)

Progressive neural network training for the Open Racing Car Simulator. - Christos Athanasiadis; Damianos Galanopoulos; Anastasios Tefas (CIG, 2012)

Multi-view human action recognition under occlusion based on Fuzzy distances and neural networks. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (EUSIPCO, 2012)

Visual object tracking via Gabor-based salient features extraction. - Olga Zoidi; Anastasios Tefas; Ioannis Pitas (EUSIPCO, 2012)

Eating and drinking activity recognition based on discriminant analysis of fuzzy distances and activity volumes. - Alexandros Iosifidis; Ermioni Marami; Anastasios Tefas; Ioannis Pitas (ICASSP, 2012)

Visual object tracking based on the object's salient features with application in automatic nutrition assistance. - Olga Zoidi; Anastasios Tefas; Ioannis Pitas (ICASSP, 2012)

Discriminant action representation for view-invariant person identification. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (ICIP, 2012)

Exploiting subclass information in Support Vector Machines. - Georgios Orfanidis; Anastasios Tefas (ICPR, 2012)

Neural representation and learning for multi-view human action recognition. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (IJCNN, 2012)

Discriminant Subspace Learning Based on Support Vectors Machines. - Nikolaos Pitelis; Anastasios Tefas (MLDM, 2012)

Exploiting graph embedding in support vector machines. - Georgios Arvanitidis; Anastasios Tefas (MLSP, 2012)

Facial expression recognition with robust covariance estimation and Support Vector Machines. - Nicholas Vretos; Anastasios Tefas; Ioannis Pitas (MLSP, 2012)

Evolutionary Optimization of a Neural Network Controller for Car Racing Simulation. - Damianos Galanopoulos; Christos Athanasiadis; Anastasios Tefas (SETN, 2012)

Exploiting Quadratic Mutual Information for Discriminant Analysis. - Vasileios Gavriilidis; Anastasios Tefas (SETN, 2012)

Multi-view human movement recognition based on fuzzy distances and linear discriminant analysis. - Alexandros Iosifidis; Anastasios Tefas; Nikolaos Nikolaidis 001; Ioannis Pitas (Comput. Vis. Image Underst., 2012)

Subclass discriminant Nonnegative Matrix Factorization for facial image analysis. - Symeon Nikitidis; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (Pattern Recognit., 2012)

Shape matching using a binary search tree structure of weak classifiers. - Nikolaos Tsapanos; Anastasios Tefas; Nikolaos Nikolaidis 001; Ioannis Pitas (Pattern Recognit., 2012)

Activity-Based Person Identification Using Fuzzy Representation and Discriminant Learning. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Inf. Forensics Secur., 2012)

View-Invariant Action Recognition Based on Artificial Neural Networks. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Neural Networks Learn. Syst., 2012)

Folk dance recognition using a bag of words approach and ISA/STIP features. - Ioannis Kapsouras; Stylianos Karanikolos; Nikolaos Nikolaidis 001; Anastasios Tefas (BCI, 2013)

Person identification from actions based on Artificial Neural Networks. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (CIBIM, 2013)

Feature Comparison and Feature Fusion for Traditional Dances Recognition. - Ioannis Kapsouras; Stylianos Karanikolos; Nikolaos Nikolaidis 001; Anastasios Tefas (EANN (1), 2013)

Direct Multi-label Linear Discriminant Analysis. - Maria Oikonomou; Anastasios Tefas (EANN (1), 2013)

Neural Networks for Digital Media Analysis and Description. - Anastasios Tefas; Alexandros Iosifidis; Ioannis Pitas (EANN (1), 2013)

Dynamic action classification based on iterative data selection and Feedforward Neural networks. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (EUSIPCO, 2013)

Maximum Margin Discriminant Projections for facial expression recognition. - Symeon Nikitidis; Anastasios Tefas; Ioannis Pitas (EUSIPCO, 2013)

Exploiting discriminant and SVM constraints in NMF. - Olga Zoidi; Anastasios Tefas; Ioannis Pitas (EUSIPCO, 2013)

Active classification for human action recognition. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (ICIP, 2013)

Exploiting the SVM constraints in NMF with application in eating and drinking activity recognition. - Olga Zoidi; Anastasios Tefas; Ioannis Pitas (ICIP, 2013)

Multi-view Human Action Recognition: A Survey. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (IIH-MSP, 2013)

Representative Class Vector Clustering-Based Discriminant Analysis. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (IIH-MSP, 2013)

View-independent human action recognition based on multi-view action images and discriminant learning. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (IVMSP, 2013)

Person identification from actions based on dynemes and discriminant learning. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (IWBF, 2013)

Learning sparse representations for view-independent human action recognition based on fuzzy distances. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (Neurocomputing, 2013)

Using robust dispersion estimation in support vector machines. - Nicholas Vretos; Anastasios Tefas; Ioannis Pitas (Pattern Recognit., 2013)

Dynamic action recognition based on dynemes and Extreme Learning Machine. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (Pattern Recognit. Lett., 2013)

Multi-view action recognition based on action volumes, fuzzy distances and cluster discriminant analysis. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (Signal Process., 2013)

Minimum Class Variance Extreme Learning Machine for Human Action Recognition. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Circuits Syst. Video Technol., 2013)

Visual Object Tracking Based on Local Steering Kernels and Color Histograms. - Olga Zoidi; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Circuits Syst. Video Technol., 2013)

Multidimensional Sequence Classification Based on Fuzzy Distances and Discriminant Analysis. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Knowl. Data Eng., 2013)

On the Optimal Class Representation in Linear Discriminant Analysis. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Neural Networks Learn. Syst., 2013)

Multiplicative Update Rules for Concurrent Nonnegative Matrix Factorization and Maximum Margin Classification. - Olga Zoidi; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Neural Networks Learn. Syst., 2013)

Large graph clustering using DCT-based graph clustering. - Nikolaos Tsapanos; Anastasios Tefas; Nikolaos Nikolaidis 001; Ioannis Pitas (CIBD, 2014)

Facial image clustering in stereo videos using local binary patterns and double spectral analysis. - Georgios Orfanidis; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (CIDM, 2014)

Video summarization based on Subclass Support Vector Data Description. - Vasileios Mygdalis; Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (CIES, 2014)

Stereoscopic video description for human action recognition. - Ioannis Mademlis; Alexandros Iosifidis; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (CIMSIVP, 2014)

Computational Intelligence Approaches for Digital Media Analysis and Description. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (ECC (2), 2014)

Visual Information Analysis for Big-Data Using Multi-core Technologies. - Nikolaos Mpountouropoulos; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (ECC (1), 2014)

Subspace Learning with Enriched Databases Using Symmetry. - Konstantinos Papachristou; Anastasios Tefas; Ioannis Pitas (ECC (1), 2014)

Human action recognition in stereoscopic videos based on bag of features and disparity pyramids. - Alexandros Iosifidis; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (EUSIPCO, 2014)

Iterative Label Propagation on facial images. - Olga Zoidi; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (EUSIPCO, 2014)

Minimum Variance Extreme Learning Machine for human action recognition. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (ICASSP, 2014)

Human action recognition based on bag of features and multi-view neural networks. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (ICIP, 2014)

Stereoscopic video shot clustering into semantic concepts based on visual and disparity information. - Konstantinos Papachristou; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (ICIP, 2014)

Laplacian Support Vector Analysis for Subspace Discriminative Learning. - Nikolaos Arvanitopoulos; Dimitrios Bouzas; Anastasios Tefas (ICPR, 2014)

Random Walk Kernel Applications to Classification Using Support Vector Machines. - Vasileios Gavriilidis; Anastasios Tefas (ICPR, 2014)

Semi-supervised Classification of Human Actions Based on Neural Networks. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (ICPR, 2014)

Graph-based Kernel Representation of Videos for Traditional Dance Recognition. - Christina Chrysouli; Vasileios Gavriilidis; Anastasios Tefas (IJCCI (NCTA), 2014)

Spectral Clustering Using Evolving Similarity Graphs. - Christina Chrysouli; Anastasios Tefas (IJCCI (ECTA), 2014)

Evolution of Graphs for Unsupervised Learning. - Christina Chrysouli; Anastasios Tefas (IJCCI (Selected Papers), 2014)

Exploiting Local Class Information in Extreme Learning Machine. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (IJCCI (NCTA), 2014)

Single-Hidden Layer Feedforward Neual Network Training Using Class Geometric Information. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (IJCCI (Selected Papers), 2014)

De-identifying facial images using singular value decomposition. - Panteleimon Chriskos; Olga Zoidi; Anastasios Tefas; Ioannis Pitas (MIPRO, 2014)

Person de-identification in activity videos. - Marina Ivasic-Kos; Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (MIPRO, 2014)

Stereoscopic video shot classification based on Weighted Linear Discriminant Analysis. - Konstantinos Papachristou; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (MLSP, 2014)

Shot type characterization in 2D and 3D video content. - Ioannis Tsingalis; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (MMSP, 2014)

Activity Recognition for Traditional Dances Using Dimensionality Reduction. - Vasileios Gavriilidis; Anastasios Tefas (SETN, 2014)

Multi-view Regularized Extreme Learning Machine for Human Action Recognition. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (SETN, 2014)

Regularized extreme learning machine for multi-view semi-supervised action recognition. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (Neurocomputing, 2014)

Kernel Reference Discriminant Analysis. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (Pattern Recognit. Lett., 2014)

Discriminant Bag of Words based representation for human action recognition. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (Pattern Recognit. Lett., 2014)

Stereo object tracking with fusion of texture, color and disparity information. - Olga Zoidi; Nikos Nikolaidis 001; Anastasios Tefas; Ioannis Pitas (Signal Process. Image Commun., 2014)

Projected Gradients for Subclass Discriminant Nonnegative Subspace Learning. - Symeon Nikitidis; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Cybern., 2014)

Maximum Margin Projection Subspace Learning for Visual Data Analysis. - Symeon Nikitidis; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Image Process., 2014)

Symmetric Subspace Learning for Image Analysis. - Konstantinos Papachristou; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Image Process., 2014)

Person Identity Label Propagation in Stereo Videos. - Olga Zoidi; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (IEEE Trans. Multim., 2014)

Class-specific nonlinear subspace learning based on optimized class representation. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (EUSIPCO, 2015)

Exploiting symmetry in two-dimensional clustering-based discriminant analysis for face recognition. - Konstantinos Papachristou; Anastasios Tefas; Ioannis Pitas (EUSIPCO, 2015)

De-identifying facial images using projections on hyperspheres. - Panteleimon Chriskos; Olga Zoidi; Anastasios Tefas; Ioannis Pitas (FG, 2015)

Enhancing class discrimination in Kernel Discriminant Analysis. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (ICASSP, 2015)

Exploiting subclass information in one-class support vector machine for video summarization. - Vasileios Mygdalis; Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (ICASSP, 2015)

Enhancing ELM-based Facial Image Classification by Exploiting Multiple Facial Views. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (ICCS, 2015)

Fast Kernel Matrix Computation for Big Data Clustering. - Nikolaos Tsapanos; Anastasios Tefas; Nikolaos Nikolaidis 001; Alexandros Iosifidis; Ioannis Pitas (ICCS, 2015)

Multimodal Speaker Diarization Utilizing Face Clustering Information. - Ioannis Kapsouras; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (ICIG (2), 2015)

Merging linear discriminant analysis with Bag of Words model for human action recognition. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (ICIP, 2015)

Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning Machine. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (ICIP, 2015)

Facial image analysis based on two-dimensional linear discriminant analysis exploiting symmetry. - Konstantinos Papachristou; Anastasios Tefas; Ioannis Pitas (ICIP, 2015)

Visual voice activity detection based on spatiotemporal information and bag of words. - Foteini Patrona; Alexandros Iosifidis; Anastasios Tefas; Nikolaos Nikolaidis 001; Ioannis Pitas (ICIP, 2015)

Kernel matrix trimming for improved Kernel K-means clustering. - Nikolaos Tsapanos; Anastasios Tefas; Nikolaos Nikolaidis 001; Ioannis Pitas (ICIP, 2015)

IMPART: Big media data processing and analysis for film production. - Josep Blat; Alun Evans; Javi Agenjo; Hansung Kim 001; Evren Imre; Adrian Hilton 001; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas; Lukás Polok; Pavel Smrz; Pavel Zemcík (ICME Workshops, 2015)

Regularized Extreme Learning Machine for Large-scale Media Content Analysis. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (INNS Conference on Big Data, 2015)

Multi-modal label propagation based on a higher order similarity matrix. - Olga Zoidi; Nikos Nikolaidis 001; Anastasios Tefas; Ioannis Pitas (MLSP, 2015)

Subclass Marginal Fisher Analysis. - Anastasios Maronidis; Anastasios Tefas; Ioannis Pitas (SSCI, 2015)

Graph Embedding Exploiting Subclasses. - Anastasios Maronidis; Anastasios Tefas; Ioannis Pitas (SSCI, 2015)

Distributed, MapReduce-Based Nearest Neighbor and E-Ball Kernel k-Means. - Nikolaos Tsapanos; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (SSCI, 2015)

Nearest Class Vector Classification for Large-Scale Learning Problems. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (TrustCom/BigDataSE/ISPA (2), 2015)

Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble. - Vasileios Mygdalis; Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (TrustCom/BigDataSE/ISPA (2), 2015)

Spectral clustering and semi-supervised learning using evolving similarity graphs. - Christina Chrysouli; Anastasios Tefas (Appl. Soft Comput., 2015)

Human Action Recognition Based on Multi-View Regularized Extreme Learning Machine. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (Int. J. Artif. Intell. Tools, 2015)

Distance-based human action recognition using optimized class representations. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (Neurocomputing, 2015)

DropELM: Fast neural network regularization with Dropout and DropConnect. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (Neurocomputing, 2015)

The MOBISERV-AIIA Eating and Drinking multi-view database for vision-based assisted living. - Alexandros Iosifidis; Ermioni Marami; Anastasios Tefas; Ioannis Pitas (J. Inf. Hiding Multim. Signal Process., 2015)

Subclass Graph Embedding and a Marginal Fisher Analysis paradigm. - Anastasios Maronidis; Anastasios Tefas; Ioannis Pitas (Pattern Recognit., 2015)

A distributed framework for trimmed Kernel k-Means clustering. - Nikolaos Tsapanos; Anastasios Tefas; Nikolaos Nikolaidis 001; Ioannis Pitas (Pattern Recognit., 2015)

On the kernel Extreme Learning Machine classifier. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (Pattern Recognit. Lett., 2015)

Sparse extreme learning machine classifier exploiting intrinsic graphs. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (Pattern Recognit. Lett., 2015)

A novel dimensionality reduction technique based on kernel optimization through graph embedding. - Nicholas Vretos; Anastasios Tefas; Ioannis Pitas (Signal Image Video Process., 2015)

Facial image clustering in stereoscopic videos using double spectral analysis. - Georgios Orfanidis; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (Signal Process. Image Commun., 2015)

Class-Specific Reference Discriminant Analysis With Application in Human Behavior Analysis. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Hum. Mach. Syst., 2015)

Graph Embedded Nonparametric Mutual Information for Supervised Dimensionality Reduction. - Dimitrios Bouzas; Nikolaos Arvanitopoulos; Anastasios Tefas (IEEE Trans. Neural Networks Learn. Syst., 2015)

Enhanced similarities for a music Recommender System. - Vasileios Gavriilidis; Anastasios Tefas; Constantine Kotropoulos; Nikos Nikolaidis 001 (DMIAF, 2016)

Fast label propagation on facial images using a pruned similarity matrix. - Efstratios Kakaletsis; Olga Zoidi; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (DMIAF, 2016)

A comparative study of representations for folk dances recognition in video. - Eftychia Fotiadou; Nikos Nikolaidis 001; Anastasios Tefas (EUSIPCO, 2016)

A review of approximate methods for kernel-based big media data analysis. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas; Moncef Gabbouj (EUSIPCO, 2016)

One class classification applied in facial image analysis. - Vasileios Mygdalis; Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (ICIP, 2016)

Multi-view semantic temporal video segmentation. - Thomas Theodoridis; Anastasios Tefas; Ioannis Pitas (ICIP, 2016)

Exploiting local and global geometric data relationships in Support Vector Data Description. - Vasileios Mygdalis; Anastasios Tefas; Ioannis Pitas (ICPR, 2016)

Bag of Embedded Words learning for text retrieval. - Nikolaos Passalis; Anastasios Tefas (ICPR, 2016)

Face detection based on deep convolutional neural networks exploiting incremental facial part learning. - Danai Triantafyllidou; Anastasios Tefas (ICPR, 2016)

Exploiting supervised learning for finetuning deep CNNs in content based image retrieval. - Maria Tzelepi; Anastasios Tefas (ICPR, 2016)

Compact Video Description and Representation for Automated Summarization of Human Activities. - Ioannis Mademlis; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (INNS Conference on Big Data, 2016)

Spatial Bag of Features Learning for Large Scale Face Image Retrieval. - Nikolaos Passalis; Anastasios Tefas (INNS Conference on Big Data, 2016)

A Fast Deep Convolutional Neural Network for Face Detection in Big Visual Data. - Danai Triantafyllidou; Anastasios Tefas (INNS Conference on Big Data, 2016)

Movie shot selection preserving narrative properties. - Ioannis Mademlis; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (MMSP, 2016)

Laplacian one class extreme learning machines for human action recognition. - Vasileios Mygdalis; Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (MMSP, 2016)

A Bag of Words approach for recognition of Greek folk dances. - Eftychia Fotiadou; Ioannis Kapsouras; Nikos Nikolaidis 001; Anastasios Tefas (SETN, 2016)

Spectral Clustering using Optimized Bag-of-Features. - Nikolaos Passalis; Anastasios Tefas (SETN, 2016)

Efficient MapReduce Kernel k-Means for Big Data Clustering. - Nikolaos Tsapanos; Anastasios Tefas; Nikolaos Nikolaidis 001; Ioannis Pitas (SETN, 2016)

Relevance Feedback in Deep Convolutional Neural Networks for Content Based Image Retrieval. - Maria Tzelepi; Anastasios Tefas (SETN, 2016)

Kernel subclass support vector description for face and human action recognition. - Vasileios Mygdalis; Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (SPLINE, 2016)

Exploiting stereoscopic disparity for augmenting human activity recognition performance. - Ioannis Mademlis; Alexandros Iosifidis; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (Multim. Tools Appl., 2016)

Big Data Analysis for Media Production. - Josep Blat; Alun Evans; Hansung Kim 001; Evren Imre; Lukás Polok; Viorela Ila; Nikos Nikolaidis 001; Pavel Zemcík; Anastasios Tefas; Pavel Smrz; Adrian Hilton 001; Ioannis Pitas (Proc. IEEE, 2016)

Graph Embedded One-Class Classifiers for media data classification. - Vasileios Mygdalis; Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (Pattern Recognit., 2016)

Graph Embedded Extreme Learning Machine. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (IEEE Trans. Cybern., 2016)

Multimodal Stereoscopic Movie Summarization Conforming to Narrative Characteristics. - Ioannis Mademlis; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (IEEE Trans. Image Process., 2016)

Entropy Optimized Feature-Based Bag-of-Words Representation for Information Retrieval. - Nikolaos Passalis; Anastasios Tefas (IEEE Trans. Knowl. Data Eng., 2016)

Visual Voice Activity Detection in the Wild. - Foteini Patrona; Alexandros Iosifidis; Anastasios Tefas; Nikolaos Nikolaidis 001; Ioannis Pitas (IEEE Trans. Multim., 2016)

Discriminatively Trained Autoencoders for Fast and Accurate Face Recognition. - Paraskevi Nousi; Anastasios Tefas (EANN, 2017)

Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization. - Nikolaos Passalis; Anastasios Tefas (EANN, 2017)

Concept detection and face pose estimation using lightweight convolutional neural networks for steering drone video shooting. - Nikolaos Passalis; Anastasios Tefas (EUSIPCO, 2017)

Time-series classification using neural Bag-of-Features. - Nikolaos Passalis; Avraam Tsantekidis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (EUSIPCO, 2017)

Lightweight two-stream convolutional face detection. - Danai Triantafyllidou; Paraskevi Nousi; Anastasios Tefas (EUSIPCO, 2017)

Using deep learning to detect price change indications in financial markets. - Avraam Tsantekidis; Nikolaos Passalis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (EUSIPCO, 2017)

Human crowd detection for drone flight safety using convolutional neural networks. - Maria Tzelepi; Anastasios Tefas (EUSIPCO, 2017)

Summarization of human activity videos via low-rank approximation. - Ioannis Mademlis; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (ICASSP, 2017)

Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks. - Nikolaos Passalis; Anastasios Tefas (ICCV, 2017)

Summarization of human activity videos using a salient dictionary. - Ioannis Mademlis; Anastasios Tefas; Ioannis Pitas (ICIP, 2017)

Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks. - Avraam Tsantekidis; Nikolaos Passalis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (CBI (1), 2017)

Approximate kernel extreme learning machine for large scale data classification. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (Neurocomputing, 2017)

Deep learning algorithms for discriminant autoencoding. - Paraskevi Nousi; Anastasios Tefas (Neurocomputing, 2017)

De-identifying facial images using singular value decomposition and projections. - Panteleimon Chriskos; Olga Zoidi; Anastasios Tefas; Ioannis Pitas (Multim. Tools Appl., 2017)

Multimodal speaker clustering in full length movies. - Ioannis Kapsouras; Anastasios Tefas; Nikos Nikolaidis 001; Geoffroy Peeters; Laurent Benaroya; Ioannis Pitas (Multim. Tools Appl., 2017)

One-Class Classification Based on Extreme Learning and Geometric Class Information. - Alexandros Iosifidis; Vasileios Mygdalis; Anastasios Tefas; Ioannis Pitas (Neural Process. Lett., 2017)

Neural Bag-of-Features learning. - Nikolaos Passalis; Anastasios Tefas (Pattern Recognit., 2017)

Big Media Data Analysis. - Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas; Moncef Gabbouj (Signal Process. Image Commun., 2017)

Learning Neural Bag-of-Features for Large-Scale Image Retrieval. - Nikolaos Passalis; Anastasios Tefas (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Deep reinforcement learning for frontal view person shooting using drones. - Nikolaos Passalis; Anastasios Tefas (EAIS, 2018)

Decoding Generic Visual Representations from Human Brain Activity Using Machine Learning. - Angeliki Papadimitriou; Nikolaos Passalis; Anastasios Tefas (ECCV Workshops (3), 2018)

Learning Deep Representations with Probabilistic Knowledge Transfer. - Nikolaos Passalis; Anastasios Tefas (ECCV (11), 2018)

Fast, Visual and Interactive Semi-supervised Dimensionality Reduction. - Dimitris Spathis; Nikolaos Passalis; Anastasios Tefas (ECCV Workshops (4), 2018)

Regularized Svd-Based Video Frame Saliency for Unsupervised Activity Video Summarization. - Ioannis Mademlis; Anastasios Tefas; Ioannis Pitas (ICASSP, 2018)

Label Propagation on Facial Images Using Similarity and Dissimilarity Labelling Constraints. - Efstratios Kakaletsis; Olga Zoidi; Ioannis Tsingalis; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (ICIP, 2018)

Learning Multi-Graph Regularization for SVM Classification. - Vasileios Mygdalis; Anastasios Tefas; Ioannis Pitas (ICIP, 2018)

Convolutional Neural Networks for Visual Information Analysis with Limited Computing Resources. - Paraskevi Nousi; Emmanouil Patsiouras; Anastasios Tefas; Ioannis Pitas (ICIP, 2018)

Accelerating Similarity-Based Discriminant Analysis Using Class-Specific Prototypes. - Nikolaos Passalis; Anastasios Tefas (ICIP, 2018)

Neural Network Knowledge Transfer using Unsupervised Similarity Matching. - Nikolaos Passalis; Anastasios Tefas (ICPR, 2018)

Visual Question Answering using Explicit Visual Attention. - Vasileios Lioutas; Nikolaos Passalis; Anastasios Tefas (ISCAS, 2018)

Efficient Camera Control using 2D Visual Information for Unmanned Aerial Vehicle-based Cinematography. - Nikolaos Passalis; Anastasios Tefas; Ioannis Pitas (ISCAS, 2018)

Learning Discriminative Representations for Big Data Clustering Using Similarity-Based Dimensionality Reduction. - Nikolaos Passalis; Anastasios Tefas (IVMSP, 2018)

Fully Unsupervised Optimization of CNN Features Towards Content Based Image Retrieval. - Maria Tzelepi; Anastasios Tefas (IVMSP, 2018)

Greedy Salient Dictionary Learning with Optimal Point Reconstruction for Activity video Summarization. - Ioannis Mademlis; Anastasios Tefas; Ioannis Pitas (MLSP, 2018)

Computational UAV Cinematography for Intelligent A/V Shooting Based on Semantic Visual Analysis. - Fotini Patrona; Ioannis Mademlis; Anastasios Tefas; Ioannis Pitas (MMSports@MM, 2018)

Recurrent Attention for Deep Neural Object Detection. - Georgios Symeonidis; Anastasios Tefas (SETN, 2018)

Deep Sparse Autoencoders for Football Match and Bet Prediction. - Konstantinos Tsampazis; Anastasios Tefas (SETN, 2018)

Fully Unsupervised Convolutional Learning for Fast Image Retrieval. - Maria Tzelepi; Anastasios Tefas (SETN, 2018)

Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining. - Danai Triantafyllidou; Paraskevi Nousi; Anastasios Tefas (Big Data Res., 2018)

Probabilistic Knowledge Transfer for Deep Representation Learning. - Nikolaos Passalis; Anastasios Tefas (CoRR, 2018)

Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data. - Paraskevi Nousi; Avraam Tsantekidis; Nikolaos Passalis; Adamantios Ntakaris; Juho Kanniainen; Anastasios Tefas; Moncef Gabbouj; Alexandros Iosifidis (CoRR, 2018)

Style Decomposition for Improved Neural Style Transfer. - Paraskevas Pegios; Nikolaos Passalis; Anastasios Tefas (CoRR, 2018)

Big Data Clustering with Kernel k-Means: Resources, Time and Performance. - Nikolaos Tsapanos; Anastasios Tefas; Nikolaos Nikolaidis 001; Ioannis Pitas (Int. J. Artif. Intell. Tools, 2018)

Semi-supervised subclass support vector data description for image and video classification. - Vasileios Mygdalis; Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas (Neurocomputing, 2018)

Deep convolutional learning for Content Based Image Retrieval. - Maria Tzelepi; Anastasios Tefas (Neurocomputing, 2018)

A salient dictionary learning framework for activity video summarization via key-frame extraction. - Ioannis Mademlis; Anastasios Tefas; Ioannis Pitas (Inf. Sci., 2018)

PySEF: A python library for similarity-based dimensionality reduction. - Nikolaos Passalis; Anastasios Tefas (Knowl. Based Syst., 2018)

Caricature generation utilizing the notion of anti-face. - Vlasis Gogousis; Anastasios Tefas (Multim. Tools Appl., 2018)

Exploiting tf-idf in deep Convolutional Neural Networks for Content Based Image Retrieval. - Nikolaos Kondylidis; Maria Tzelepi; Anastasios Tefas (Multim. Tools Appl., 2018)

Learning bag-of-embedded-words representations for textual information retrieval. - Nikolaos Passalis; Anastasios Tefas (Pattern Recognit., 2018)

Learning deep spatiotemporal features for video captioning. - Eleftherios Daskalakis; Maria Tzelepi; Anastasios Tefas (Pattern Recognit. Lett., 2018)

Explicit ensemble attention learning for improving visual question answering. - Vasileios Lioutas; Nikolaos Passalis; Anastasios Tefas (Pattern Recognit. Lett., 2018)

Fast constrained person identity label propagation in stereo videos using a pruned similarity matrix. - Efstratios Kakaletsis; Olga Zoidi; Ioannis Tsingalis; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (Signal Process. Image Commun., 2018)

Deep convolutional image retrieval: A general framework. - Maria Tzelepi; Anastasios Tefas (Signal Process. Image Commun., 2018)

Positive and Negative Label Propagations. - Olga Zoidi; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (IEEE Trans. Circuits Syst. Video Technol., 2018)

Information Clustering Using Manifold-Based Optimization of the Bag-of-Features Representation. - Nikolaos Passalis; Anastasios Tefas (IEEE Trans. Cybern., 2018)

Dimensionality Reduction Using Similarity-Induced Embeddings. - Nikolaos Passalis; Anastasios Tefas (IEEE Trans. Neural Networks Learn. Syst., 2018)

On Detecting and Handling target occlusions in Correlation-filter-based 2D tracking. - Iason Karakostas; Vasileios Mygdalis; Anastasios Tefas; Ioannis Pitas (EUSIPCO, 2019)

Curriculum-based Teacher Ensemble for Robust Neural Network Distillation. - Georgios Panagiotatos; Nikolaos Passalis; Alexandros Iosifidis; Moncef Gabbouj; Anastasios Tefas (EUSIPCO, 2019)

Improving the Performance of Lightweight CNN models using Minimum Enclosing Ball Regularization. - Maria Tzelepi; Anastasios Tefas (EUSIPCO, 2019)

Deep Convolutional Feature Histograms for Visual Object Tracking. - Paraskevi Nousi; Anastasios Tefas; Ioannis Pitas (ICASSP, 2019)

Variance Preserving Initialization for Training Deep Neuromorphic Photonic Networks with Sinusoidal Activations. - Nikolaos Passalis; George Mourgias-Alexandris; Apostolos Tsakyridis; Nikos Pleros; Anastasios Tefas (ICASSP, 2019)

Deep Temporal Logistic Bag-of-features for Forecasting High Frequency Limit Order Book Time Series. - Nikolaos Passalis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (ICASSP, 2019)

Deep Reinforcement Learning for Financial Trading Using Price Trailing. - Konstantinos Saitas Zarkias; Nikolaos Passalis; Avraam Tsantekidis; Anastasios Tefas (ICASSP, 2019)

Joint Lightweight Object Tracking and Detection for Unmanned Vehicles. - Paraskevi Nousi; Danai Triantafyllidou; Anastasios Tefas; Ioannis Pitas (ICIP, 2019)

Adaptive Inference Using Hierarchical Convolutional Bag-of-Features for Low-Power Embedded Platforms. - Nikolaos Passalis; Jenni Raitoharju; Anastasios Tefas; Moncef Gabbouj (ICIP, 2019)

Class-Based Variational Representation Learning For Robust Image Retrieval. - Nikolaos Passalis; Anastasios Tefas; Alexandros Iosifidis; Moncef Gabbouj (ICIP, 2019)

Computational UAV Cinematography for Intelligent Shooting Based on Semantic Visual Analysis. - Fotini Patrona; Ioannis Mademlis; Anastasios Tefas; Ioannis Pitas (ICIP, 2019)

Discriminant Analysis Regularization in Lightweight Deep CNN Models. - Maria Tzelepi; Anastasios Tefas (ICIP, 2019)

Face Verification and Recognition for Digital Forensics and Information Security. - Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Fabio Valerio Massoli; Nikolaos Passalis; Anastasios Tefas; Alessandro Trivilini; Claudio Vairo (ISDFS, 2019)

Incremental Label Propagation on Facial Images. - Efstratios Kakaletsis; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (MLSP, 2019)

Less Is More: Deep Learning Using Subjective Annotations For Sentiment Analysis From Social Media. - Christina Tzogka; Nikolaos Passalis; Alexandros Iosifidis; Moncef Gabbouj; Anastasios Tefas (MLSP, 2019)

Semantic Map Annotation Through UAV Video Analysis Using Deep Learning Models in ROS. - Efstratios Kakaletsis; Maria Tzelepi; Pantelis I. Kaplanoglou; Charalampos Symeonidis; Nikos Nikolaidis 001; Anastasios Tefas; Ioannis Pitas (MMM (2), 2019)

Greedy Salient Dictionary Learning for Activity Video Summarization. - Ioannis Mademlis; Anastasios Tefas; Ioannis Pitas (MMM (1), 2019)

Experimental Demonstration of an Optical Neuron with a Logistic Sigmoid Activation Function. - George Mourgias-Alexandris; Apostolos Tsakyridis; Nikolaos Passalis; Anastasios Tefas; Nikos Pleros (OFC, 2019)

Embedded UAV Real-Time Visual Object Detection and Tracking. - Paraskevi Nousi; Ioannis Mademlis; Iason Karakostas; Anastasios Tefas; Ioannis Pitas (RCAR, 2019)

Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data. - Paraskevi Nousi; Avraam Tsantekidis; Nikolaos Passalis; Adamantios Ntakaris; Juho Kanniainen; Anastasios Tefas; Moncef Gabbouj; Alexandros Iosifidis (IEEE Access, 2019)

Deep Supervised Hashing leveraging Quadratic Spherical Mutual Information for Content-based Image Retrieval. - Nikolaos Passalis; Anastasios Tefas (CoRR, 2019)

Deep Adaptive Input Normalization for Price Forecasting using Limit Order Book Data. - Nikolaos Passalis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (CoRR, 2019)

Autonomous UAV Cinematography: A Tutorial and a Formalized Shot-Type Taxonomy. - Ioannis Mademlis; Nikos Nikolaidis 001; Anastasios Tefas; Ioannis Pitas; Tilman Wagner; Alberto Messina (ACM Comput. Surv., 2019)

Complete vector quantization of feedforward neural networks. - Nikolaos Floropoulos; Anastasios Tefas (Neurocomputing, 2019)

Deep reinforcement learning for controlling frontal person close-up shooting. - Nikolaos Passalis; Anastasios Tefas (Neurocomputing, 2019)

Interactive dimensionality reduction using similarity projections. - Dimitris Spathis; Nikolaos Passalis; Anastasios Tefas (Knowl. Based Syst., 2019)

Long-term temporal averaging for stochastic optimization of deep neural networks. - Nikolaos Passalis; Anastasios Tefas (Neural Comput. Appl., 2019)

Exploiting multiplex data relationships in Support Vector Machines. - Vasileios Mygdalis; Anastasios Tefas; Ioannis Pitas (Pattern Recognit., 2019)

Discriminative clustering using regularized subspace learning. - Nikolaos Passalis; Anastasios Tefas (Pattern Recognit., 2019)

Visual representation decoding from human brain activity using machine learning: A baseline study. - Angeliki Papadimitriou; Nikolaos Passalis; Anastasios Tefas (Pattern Recognit. Lett., 2019)

Autonomous Unmanned Aerial Vehicles Filming In Dynamic Unstructured Outdoor Environments [Applications Corner]. - Ioannis Mademlis; Nikos Nikolaidis 001; Anastasios Tefas; Ioannis Pitas; Tilman Wagner; Alberto Messina (IEEE Signal Process. Mag., 2019)

Unsupervised Knowledge Transfer Using Similarity Embeddings. - Nikolaos Passalis; Anastasios Tefas (IEEE Trans. Neural Networks Learn. Syst., 2019)

Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling. - Nikolaos Passalis; Anastasios Tefas (IEEE Trans. Neural Networks Learn. Syst., 2019)

Neurons With Paraboloid Decision Boundaries for Improved Neural Network Classification Performance. - Nikolaos Tsapanos; Anastasios Tefas; Nikolaos Nikolaidis 001; Ioannis Pitas (IEEE Trans. Neural Networks Learn. Syst., 2019)

Deep Learning Analytics. - Nikolaos Passalis; Anastasios Tefas (Machine Learning Paradigms, 2019)

Heterogeneous Knowledge Distillation Using Information Flow Modeling. - Nikolaos Passalis; Maria Tzelepi; Anastasios Tefas (CVPR, 2020)

Few-shot Image Recognition for UAV Sports Cinematography. - Emmanouil Patsiouras; Anastasios Tefas; Ioannis Pitas (CVPR Workshops, 2020)

Time-series classification with an all-optical recurrent neuron. - George Mourgias-Alexandris; Nikolaos Passalis; George Dabos; Angelina Totovic; Anastasios Tefas; Nikos Pleros (ECOC, 2020)

Robust Hypersphere-based Weight Imprinting for Few-Shot Learning. - Nikolaos Passalis; Alexandros Iosifidis; Moncef Gabbouj; Anastasios Tefas (EUSIPCO, 2020)

Training Noise-Resilient Recurrent Photonic Networks for Financial Time Series Analysis. - Nikolaos Passalis; Manos Kirtas; George Mourgias-Alexandris; George Dabos; Nikos Pleros; Anastasios Tefas (EUSIPCO, 2020)

Adaptive Normalization for Forecasting Limit Order Book Data Using Convolutional Neural Networks. - Nikolaos Passalis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (ICASSP, 2020)

Leveraging Deep Reinforcement Learning For Active Shooting Under Open-World Setting. - A. Tzimas; Nikolaos Passalis; Anastasios Tefas (ICME, 2020)

Improving Visual Question Answering using Active Perception on Static Images. - Theodoros Bozinis; Nikolaos Passalis; Anastasios Tefas (ICPR, 2020)

Human Action Recognition Using Recurrent Bag-of-Features Pooling. - Marios Krestenitis; Nikolaos Passalis; Alexandros Iosifidis; Moncef Gabbouj; Anastasios Tefas (ICPR Workshops (5), 2020)

A modified Single-Shot multibox Detector for beyond Real-Time Object Detection. - Georgios Orfanidis; Konstantinos Ioannidis; Stefanos Vrochidis; Anastasios Tefas; Ioannis Kompatsiaris (ICPR, 2020)

Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval. - Nikolaos Passalis; Anastasios Tefas (ICPR, 2020)

Efficient Online Subclass Knowledge Distillation for Image Classification. - Maria Tzelepi; Nikolaos Passalis; Anastasios Tefas (ICPR, 2020)

Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics. - Manos Kirtas; Konstantinos Tsampazis; Nikolaos Passalis; Anastasios Tefas (AIAI (2), 2020)

Adaptive Initialization for Recurrent Photonic Networks using Sigmoidal Activations. - Nikolaos Passalis; George Mourgias-Alexandris; Nikos Pleros; Anastasios Tefas (ISCAS, 2020)

Multilayer Probabilistic Knowledge Transfer for Learning Image Representations. - Nikolaos Passalis; Maria Tzelepi; Anastasios Tefas (ISCAS, 2020)

Improving Deep Reinforcement Learning for Financial Trading Using Neural Network Distillation. - Avraam Tsantekidis; Nikolaos Passalis; Anastasios Tefas (MLSP, 2020)

Quadratic Mutual Information Regularization in Real-Time Deep CNN Models. - Maria Tzelepi; Anastasios Tefas (MLSP, 2020)

Efficient Adaptive Inference Leveraging Bag-of-Features-based Early Exits. - Nikolaos Passalis; Jenni Raitoharju; Moncef Gabbouj; Anastasios Tefas (MMSP, 2020)

Leveraging Active Perception for Improving Embedding-based Deep Face Recognition. - Nikolaos Passalis; Anastasios Tefas (MMSP, 2020)

Visual Object Detection For Autonomous UAV Cinematography. - Fotini Patrona; Paraskevi Nousi; Ioannis Mademlis; Anastasios Tefas; Ioannis Pitas (NLDL, 2020)

All-Optical Recurrent Neural Network with Sigmoid Activation Function. - George Mourgias-Alexandris; George Dabos; Nikolaos Passalis; Anastasios Tefas; Angelina Totovic; Nikos Pleros (OFC, 2020)

Deep Hashing Regularization Towards Hamming Space Retrieval. - Christos Nasioutzikis; Maria Tzelepi; Anastasios Tefas (SETN, 2020)

Improving Universal Style Transfer using Sub-style Decomposition. - Paraskevas Pegios; Nikolaos Passalis; Anastasios Tefas (SETN, 2020)

Global Adaptive Input Normalization for Short-Term Electric Load Forecasting. - Nikolaos Passalis; Anastasios Tefas (SSCI, 2020)

Using Deep Learning for price prediction by exploiting stationary limit order book features. - Avraam Tsantekidis; Nikolaos Passalis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (Appl. Soft Comput., 2020)

Self-supervised autoencoders for clustering and classification. - Paraskevi Nousi; Anastasios Tefas (Evol. Syst., 2020)

Dense convolutional feature histograms for robust visual object tracking. - Paraskevi Nousi; Anastasios Tefas; Ioannis Pitas (Image Vis. Comput., 2020)

Continuous drone control using deep reinforcement learning for frontal view person shooting. - Nikolaos Passalis; Anastasios Tefas (Neural Comput. Appl., 2020)

K-Anonymity inspired adversarial attack and multiple one-class classification defense. - Vasileios Mygdalis; Anastasios Tefas; Ioannis Pitas (Neural Networks, 2020)

Initializing photonic feed-forward neural networks using auxiliary tasks. - Nikolaos Passalis; George Mourgias-Alexandris; Nikos Pleros; Anastasios Tefas (Neural Networks, 2020)

Class-specific discriminant regularization in real-time deep CNN models for binary classification problems. - Maria Tzelepi; Anastasios Tefas (Neural Process. Lett., 2020)

Recurrent bag-of-features for visual information analysis. - Marios Krestenitis; Nikolaos Passalis; Alexandros Iosifidis; Moncef Gabbouj; Anastasios Tefas (Pattern Recognit., 2020)

Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits. - Nikolaos Passalis; Jenni Raitoharju; Anastasios Tefas; Moncef Gabbouj (Pattern Recognit., 2020)

Improving the performance of lightweight CNNs for binary classification using quadratic mutual information regularization. - Maria Tzelepi; Anastasios Tefas (Pattern Recognit., 2020)

Variance-preserving deep metric learning for content-based image retrieval. - Nikolaos Passalis; Alexandros Iosifidis; Moncef Gabbouj; Anastasios Tefas (Pattern Recognit. Lett., 2020)

Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data. - Nikolaos Passalis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (Pattern Recognit. Lett., 2020)

Deep Learning for Visual Content Analysis. - Alexandros Iosifidis; Anastasios Tefas (Signal Process. Image Commun., 2020)

Deep autoencoders for attribute preserving face de-identification. - Paraskevi Nousi; Sotirios Papadopoulos; Anastasios Tefas; Ioannis Pitas (Signal Process. Image Commun., 2020)

Re-identification framework for long term visual object tracking based on object detection and classification. - Paraskevi Nousi; Danai Triantafyllidou; Anastasios Tefas; Ioannis Pitas (Signal Process. Image Commun., 2020)

Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data. - Nikolaos Passalis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

Bag of Color Features for Color Constancy. - Firas Laakom; Nikolaos Passalis; Jenni Raitoharju; Jarno Nikkanen; Anastasios Tefas; Alexandros Iosifidis; Moncef Gabbouj (IEEE Trans. Image Process., 2020)

Deep Adaptive Input Normalization for Time Series Forecasting. - Nikolaos Passalis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (IEEE Trans. Neural Networks Learn. Syst., 2020)

Efficient Realistic Data Generation Framework Leveraging Deep Learning-Based Human Digitization. - Charalampos Symeonidis; Paraskevi Nousi; Pavlos Tosidis; Konstantinos Tsampazis; Nikolaos Passalis; Anastasios Tefas; Nikos Nikolaidis 001 (EANN, 2021)

Silicon-integrated coherent neurons with 32GMAC/sec/axon compute line-rates using EAM-based input and weighting cells. - George Giamougiannis; Apostolos Tsakyridis; George Mourgias-Alexandris; Miltiadis Moralis-Pegios; Angelina Totovic; George Dabos; Nikos Passalis; Manos Kirtas; Nikos Bamiedakis; Anastasios Tefas; David Lazovsky; Nikos Pleros (ECOC, 2021)

25GMAC/sec/axon photonic neural networks with 7GHz bandwidth optics through channel response-aware training. - George Mourgias-Alexandris; Apostolos Tsakyridis; Nikolaos Passalis; Manos Kirtas; Anastasios Tefas; Teerapat Rutirawut; Frederic Y. Gardes; Nikos Pleros; Miltiadis Moralis-Pegios (ECOC, 2021)

Compute with Light: Architectures, Technologies and Training Models for Neuromorphic Photonic Circuits. - Nikos Pleros; Miltiadis Moralis-Pegios; Angelina Totovic; George Dabos; Apostolos Tsakyridis; George Giamougiannis; George Mourgias-Alexandris; Nikos Passalis; Manos Kirtas; Anastasios Tefas (ECOC, 2021)

Adaptive Inference for Face Recognition leveraging Deep Metric Learning-enabled Early Exits. - Nikolaos Passalis; Anastasios Tefas (EUSIPCO, 2021)

Vision-based UAV Safe Landing exploiting Lightweight Deep Neural Networks. - Charalampos Symeonidis; Efstratios Kakaletsis; Ioannis Mademlis; Nikos Nikolaidis 001; Anastasios Tefas; Ioannis Pitas (ICIGP, 2021)

Pseudo-Active Vision For Improving Deep Visual Perception Through Neural Sensory Refinement. - Nikolaos Passalis; Anastasios Tefas (ICIP, 2021)

Efficient Training of Lightweight Neural Networks Using Online Self-Acquired Knowledge Distillation. - Maria Tzelepi; Anastasios Tefas (ICME, 2021)

Learning Sentiment-Aware Trading Strategies for Bitcoin Leveraging Deep Learning-Based Financial News Analysis. - Nikolaos Passalis; Solon Seficha; Avraam Tsantekidis; Anastasios Tefas (AIAI, 2021)

Semantic Scene Segmentation for Robotics Applications. - Maria Tzelepi; Anastasios Tefas (IISA, 2021)

Introducing K-Anonymity Principles to Adversarial Attacks for Privacy Protection in Image Classification Problems. - Vasileios Mygdalis; Anastasios Tefas; Ioannis Pitas (MLSP, 2021)

Improving Deep Reinforcement Learning for Financial Trading Using Deep Adaptive Group-Based Normalization. - Angelos Nalmpantis; Nikolaos Passalis; Avraam Tsantekidis; Anastasios Tefas (MLSP, 2021)

A Silicon Photonic Coherent Neuron with 10GMAC/sec processing line-rate. - George Mourgias-Alexandris; Miltiadis Moralis-Pegios; Stelios Simos; George Dabos; Nikos Passalis; Manos Kirtas; Teerapat Rutirawut; Frederic Y. Gardes; Anastasios Tefas; Nikos Pleros (OFC, 2021)

Online Subclass Knowledge Distillation. - Maria Tzelepi; Nikolaos Passalis; Anastasios Tefas (Expert Syst. Appl., 2021)

Transferring trading strategy knowledge to deep learning models. - Avraam Tsantekidis; Anastasios Tefas (Knowl. Inf. Syst., 2021)

Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning. - Avraam Tsantekidis; Nikolaos Passalis; Anastasios Tefas (Neural Networks, 2021)

Deep adaptive group-based input normalization for financial trading. - Angelos Nalmpantis; Nikolaos Passalis; Avraam Tsantekidis; Anastasios Tefas (Pattern Recognit. Lett., 2021)

Improving knowledge distillation using unified ensembles of specialized teachers. - Adamantios Zaras; Nikolaos Passalis; Anastasios Tefas (Pattern Recognit. Lett., 2021)

Occlusion detection and drift-avoidance framework for 2D visual object tracking. - Iason Karakostas; Vasileios Mygdalis; Anastasios Tefas; Ioannis Pitas (Signal Process. Image Commun., 2021)

Deep supervised hashing using quadratic spherical mutual information for efficient image retrieval. - Nikolaos Passalis; Anastasios Tefas (Signal Process. Image Commun., 2021)

Training Deep Photonic Convolutional Neural Networks With Sinusoidal Activations. - Nikolaos Passalis; George Mourgias-Alexandris; Apostolos Tsakyridis; Nikos Pleros; Anastasios Tefas (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety. - Maria Tzelepi; Anastasios Tefas (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices. - Nikolaos Passalis; Alexandros Iosifidis; Moncef Gabbouj; Anastasios Tefas (IEEE Trans. Neural Networks Learn. Syst., 2021)

Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning. - Nikolaos Passalis; Maria Tzelepi; Anastasios Tefas (IEEE Trans. Neural Networks Learn. Syst., 2021)

Price Trailing for Financial Trading Using Deep Reinforcement Learning. - Avraam Tsantekidis; Nikolaos Passalis; Anastasia-Sotiria Toufa; Konstantinos Saitas Zarkias; Stergios Chairistanidis; Anastasios Tefas (IEEE Trans. Neural Networks Learn. Syst., 2021)

Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization. - Nikolaos Passalis; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis; Anastasios Tefas (J. Signal Process. Syst., 2021)

A Robust, Quantization-Aware Training Method for Photonic Neural Networks. - Athina Oikonomou; Manos Kirtas; Nikos Passalis; George Mourgias-Alexandris; Miltiadis Moralis-Pegios; Nikos Pleros; Anastasios Tefas (EANN, 2022)

Improving Binary Semantic Scene Segmentation for Robotics Applications. - Maria Tzelepi; Nikolaos Tragkas; Anastasios Tefas (EANN, 2022)

Learning photonic neural network initialization for noise-aware end-to-end fiber transmission. - Manos Kirtas; Nikos Passalis; George Mourgias-Alexandris; George Dabos; Nikos Pleros; Anastasios Tefas (EUSIPCO, 2022)

Active Vision Control Policies for Face Recognition using Deep Reinforcement Learning. - Pavlos Tosidis; Nikolaos Passalis; Anastasios Tefas (EUSIPCO, 2022)

Sentiment-Aware Distillation for Bitcoin Trend Forecasting Under Partial Observability. - Georgios Panagiotatos; Nikolaos Passalis; Avraam Tsantekidis; Anastasios Tefas (ICASSP, 2022)

Bag-Of-Features-Based Knowledge Distillation For Lightweight Convolutional Neural Networks. - Alexandros Chariton; Nikolaos Passalis; Anastasios Tefas (ICIP, 2022)

Multilayer Online Self-Acquired Knowledge Distillation. - Maria Tzelepi; Charalampos Symeonidis; Nikos Nikolaidis 001; Anastasios Tefas (ICPR, 2022)

Real-time synthetic-to-real human detection for robotics applications. - Maria Tzelepi; Charalampos Symeonidis; Nikos Nikolaidis 001; Anastasios Tefas (IISA, 2022)

Forecasting day-ahead electric load demand on Greek Energy Market. - Maria Tzelepi; Anastasios Tefas (IISA, 2022)

Online Knowledge Distillation for Financial Timeseries Forecasting. - Pavlos Floratos; Avraam Tsantekidis; Nikolaos Passalis; Anastasios Tefas (INISTA, 2022)

OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. - Nikolaos Passalis; S. Pedrazzi; Robert Babuska; Wolfram Burgard; D. Dias; F. Ferro; Moncef Gabbouj; O. Green; Alexandros Iosifidis; Erdal Kayacan; Jens Kober; O. Michel; et al. (IROS, 2022)

Deep Learning for On-Street Parking Violation Prediction. - Nikolaos Karantaglis; Nikolaos Passalis; Anastasios Tefas (IVMSP, 2022)

Early Detection of DDoS Attacks using Photonic Neural Networks. - Manos Kirtas; Nikolaos Passalis; Dimitrios Kalavrouziotis; Dimitris Syrivelis; Paraskevas Bakopoulos; Nikos Pleros; Anastasios Tefas (IVMSP, 2022)

Electric load demand forecasting on Greek Energy Market using lightweight neural networks. - Nikitas Maragkos; Maria Tzelepi; Nikolaos Passalis; Apostolos N. Adamakos; Anastasios Tefas (IVMSP, 2022)

Deep Video Stream Information Analysis and Retrieval: Challenges and Opportunities. - Nikolaos Passalis; Maria Tzelepi; Polychronis Charitidis; Stavros Doropoulos; Stavros Vologiannidis; Anastasios Tefas (MIPR, 2022)

Photonic Neuromorphic Computing: Architectures, Technologies, and Training Models. - Miltiadis Moralis-Pegios; Angelina Totovic; Apostolos Tsakyridis; George Giamougiannis; George Mourgias-Alexandris; George Dabos; Nikolaos Passalis; Manos Kirtas; Anastasios Tefas; Nikos Pleros (OFC, 2022)

Normalized Post-training Quantization for Photonic Neural Networks. - Manos Kirtas; Nikolaos Passalis; Athina Oikonomou; George Mourgias-Alexandris; Miltiadis Moralis-Pegios; Nikos Pleros; Anastasios Tefas (SSCI, 2022)

Attention-Based Neural Bag-of-Features Learning for Sequence Data. - Dat Thanh Tran; Nikolaos Passalis; Anastasios Tefas; Moncef Gabbouj; Alexandros Iosifidis (IEEE Access, 2022)

MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge. - Marlin B. Schäfer; Ondrej Zelenka; Alexander H. Nitz; He Wang 018; Shichao Wu; Zong-Kuan Guo; Zhoujian Cao; Zhixiang Ren; Paraskevi Nousi; Nikolaos Stergioulas; Panagiotis Iosif; Alexandra E. Koloniari; et al. (CoRR, 2022)

A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields. - Paraskevi Nousi; Emmanouil Mpampis; Nikolaos Passalis; Ole Green; Anastasios Tefas (CoRR, 2022)

Computer Vision for Autonomous UAV Flight Safety: An Overview and a Vision-based Safe Landing Pipeline Example. - Efstratios Kakaletsis; Charalampos Symeonidis; Maria Tzelepi; Ioannis Mademlis; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (ACM Comput. Surv., 2022)

Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling. - Paraskevi Nousi; Styliani-Christina Fragkouli; Nikolaos Passalis; Panagiotis Iosif; Theocharis Apostolatos; George Pappas; Nikolaos Stergioulas; Anastasios Tefas (Neurocomputing, 2022)

Probabilistic online self-distillation. - Maria Tzelepi; Nikolaos Passalis; Anastasios Tefas (Neurocomputing, 2022)

Multisource financial sentiment analysis for detecting Bitcoin price change indications using deep learning. - Nikolaos Passalis; Loukia Avramelou; Solon Seficha; Avraam Tsantekidis; Stavros Doropoulos; Giorgos Makris; Anastasios Tefas (Neural Comput. Appl., 2022)

WDM equipped universal linear optics for programmable neuromorphic photonic processors. - Angelina Totovic; Christos Pappas; Manos Kirtas; Apostolos Tsakyridis; George Giamougiannis; Nikolaos Passalis; Miltiadis Moralis-Pegios; Anastasios Tefas; Nikos Pleros (Neuromorph. Comput. Eng., 2022)

Quantization-aware training for low precision photonic neural networks. - Manos Kirtas; Athina Oikonomou; Nikolaos Passalis; George Mourgias-Alexandris; Miltiadis Moralis-Pegios; Nikos Pleros; Anastasios Tefas (Neural Networks, 2022)

Predicting on-street parking violation rate using deep residual neural networks. - Nikolaos Karantaglis; Nikolaos Passalis; Anastasios Tefas (Pattern Recognit. Lett., 2022)

Editorial paper for Pattern Recognition Letters VSI on cross model understanding for visual question answering. - Shaohua Wan 001; Zan Gao; Hanwang Zhang; Xiaojun Chang; Chen Chen 001; Anastasios Tefas (Pattern Recognit. Lett., 2022)

Residual Error Learning for Electricity Demand Forecasting. - Achilleas Andronikos; Maria Tzelepi; Anastasios Tefas (EANN, 2023)

End-to-End Trainable Gaussian Filtering for Electrocardiogram Signal Classification Using Deep Learning. - Angelos Nalmpantis; Nikolaos Passalis; Anastasios Tefas (EUSIPCO, 2023)

Improving Inertial-Based UAV Localization using Data-Efficient Deep Reinforcement Learning. - Dimitrios Tsiakmakis; Nikolaos Passalis; Anastasios Tefas (EUSIPCO, 2023)

Cryptosentiment: A Dataset and Baseline for Sentiment-Aware Deep Reinforcement Learning for Financial Trading. - Loukia Avramelou; Paraskevi Nousi; Nikolaos Passalis; Stavros Doropoulos; Anastasios Tefas (ICASSP Workshops, 2023)

Improving Electric Load Demand Forecasting with Anchor-Based Forecasting Method. - Maria Tzelepi; Paraskevi Nousi; Anastasios Tefas (ICASSP, 2023)

Enabling High-Resolution Pose Estimation in Real Time Using Active Perception. - Theodoros Manousis; Nikolaos Passalis; Anastasios Tefas (ICIP, 2023)

A Sharpe Ratio Based Reward Scheme in Deep Reinforcement Learning for Financial Trading. - Georgios Rodinos; Paraskevi Nousi; Nikolaos Passalis; Anastasios Tefas (AIAI (1), 2023)

Deep Learning for Active Robotic Perception. - Nikolaos Passalis; Pavlos Tosidis; Theodoros Manousis; Anastasios Tefas (IJCCI, 2023)

Anchored Input-Output Learning for Electrical Load Demand Forecasting. - Paraskevi Nousi; Maria Tzelepi; Anastasios Tefas (ISCAS, 2023)

Tweaking EfficientDet for frugal training. - Georgios Orfanidis; Konstantinos Ioannidis; Anastasios Tefas; Stefanos Vrochidis; Ioannis Kompatsiaris (ICMR, 2023)

Quantization-Aware Training for Mixed Precision Photonic Neural Networks. - Manos Kirtas; Nikolaos Passalis; Athina Oikonomou; Miltiadis Moralis-Pegios; George Giamougiannis; Apostolos Tsakyridis; George Mourgias-Alexandris; Nikolaos Pleros; Anastasios Tefas (MLSP, 2023)

Deep Reinforcement Learning With Action Masking for Differential-Drive Robot Navigation Using Low-Cost Sensors. - Konstantinos Tsampazis; Manos Kirtas; Pavlos Tosidis; Nikolaos Passalis; Anastasios Tefas (MLSP, 2023)

Retrieval-Based Methodology for Few-Sample Logo Recognition. - Dimosthenis Moralis; Maria Tzelepi; Anastasios Tefas (MMSP, 2023)

Leveraging Active and Continual Learning for Improving Deep Face Recognition in-the-Wild. - Pavlos Tosidis; Nikolaos Passalis; Anastasios Tefas (MMSP, 2023)

Programmable Photonic Neural Networks for advanced Machine Learning tasks. - Angelina Totovic; Apostolos Tsakyridis; George Giamougiannis; Miltiadis Moralis-Pegios; Anastasios Tefas; Nikos Pleros (OFC, 2023)

DDOS attack identification via a silicon photonic Deep Neural Network with 50 GHz input and weight update. - Apostolos Tsakyridis; George Giamougiannis; Miltiadis Moralis-Pegios; George Mourgias-Alexandris; Angelina Totovic; George Dabos; Manos Kirtas; Nikolaos Passalis; Anastasios Tefas; Dimitrios Kalavrouziotis; Dimitris Syrivelis; Paraskevas Bakopoulos; et al. (OFC, 2023)

Using Part-Based Representations for Explainable Deep Reinforcement Learning. - Manos Kirtas; Konstantinos Tsampazis; Loukia Avramelou; Nikolaos Passalis; Anastasios Tefas (PKDD/ECML Workshops (2), 2023)

Domain-Specific Large Language Model Finetuning using a Model Assistant for Financial Text Summarization. - Loukia Avramelou; Nikolaos Passalis; Grigorios Tsoumakas; Anastasios Tefas (SSCI, 2023)

Deep Active Robotic Perception for Improving Face Recognition Under Occlusions. - Valia Dimaridou; Nikolaos Passalis; Anastasios Tefas (SSCI, 2023)

Deep Active Perception for Object Detection using Navigation Proposals. - Stefanos Ginargiros; Nikolaos Passalis; Anastasios Tefas (SSCI, 2023)

Symmetric Fine-Tuning for Improving Few-Shot Object Detection. - Emmanouil Mpampis; Nikolaos Passalis; Anastasios Tefas (SSCI, 2023)

Variational Voxel Pseudo Image Tracking. - Illia Oleksiienko; Paraskevi Nousi; Nikolaos Passalis; Anastasios Tefas; Alexandros Iosifidis (SSCI, 2023)

Deep Learning for Energy Time-Series Analysis and Forecasting. - Maria Tzelepi; Charalampos Symeonidis; Paraskevi Nousi; Efstratios Kakaletsis; Theodoros Manousis; Pavlos Tosidis; Nikos Nikolaidis 001; Anastasios Tefas (CoRR, 2023)

Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management. - Paraskevi Nousi; Loukia Avramelou; Georgios Rodinos; Maria Tzelepi; Theodoros Manousis; Konstantinos Tsampazis; Kyriakos Stefanidis; Dimitris Spanos; Emmanouil Kirtas; Pavlos Tosidis; Avraam Tsantekidis; Nikolaos Passalis; et al. (CoRR, 2023)

Non-negative isomorphic neural networks for photonic neuromorphic accelerators. - Manos Kirtas; Nikolaos Passalis; Nikolaos Pleros; Anastasios Tefas (CoRR, 2023)

Photonic Neural Networks and Optics-informed Deep Learning Fundamentals. - Apostolos Tsakyridis; Miltiadis Moralis-Pegios; George Giamougiannis; Manos Kirtas; Nikolaos Passalis; Anastasios Tefas; Nikos Pleros (CoRR, 2023)

A multiple-UAV architecture for autonomous media production. - Ioannis Mademlis; Arturo Torres-González; Jesús Capitán; Maurizio Montagnuolo; Alberto Messina; Fulvio Negro; Cédric Le Barz; Tiago Gonçalves; Rita Cunha; Bruno Joao Nogueira Guerreiro; Fan Zhang 017; Stephen Boyle; et al. (Multim. Tools Appl., 2023)

Robust Architecture-Agnostic and Noise Resilient Training of Photonic Deep Learning Models. - Manos Kirtas; Nikolaos Passalis; George Mourgias-Alexandris; George Dabos; Nikos Pleros; Anastasios Tefas (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Modeling limit order trading with a continuous action policy for deep reinforcement learning. - Avraam Tsantekidis; Nikolaos Passalis; Anastasios Tefas (Neural Networks, 2023)

Mixed-precision quantization-aware training for photonic neural networks. - Manos Kirtas; Nikolaos Passalis; Athina Oikonomou; Miltiadis Moralis-Pegios; George Giamougiannis; Apostolos Tsakyridis; George Mourgias-Alexandris; Nikolaos Pleros; Anastasios Tefas (Neural Comput. Appl., 2023)

Deep residual error and bag-of-tricks learning for gravitational wave surrogate modeling. - Styliani-Christina Fragkouli; Paraskevi Nousi; Nikolaos Passalis; Panagiotis Iosif; Nikolaos Stergioulas; Anastasios Tefas (Appl. Soft Comput., 2023)

Mutual Information-Based Neural Network Distillation for Improving Photonic Neural Network Training. - Alexandros Chariton; Nikolaos Passalis; Nikos Pleros; Anastasios Tefas (Neural Process. Lett., 2023)

Probabilistic Knowledge Transfer for Lightweight Vision Transformers. - Ioannis Bountouris; Nikolaos Passalis; Anastasios Tefas (EUSIPCO, 2024)

Quantization-Aware Training for Multi-Agent Reinforcement Learning. - Nikolaos Chandrinos; Michalis Amasialidis; Manos Kirtas; Konstantinos Tsampazis; Nikolaos Passalis; Anastasios Tefas (EUSIPCO, 2024)

Large Models in Dialogue for Active Perception and Anomaly Detection. - Tzoulio Chamiti; Nikolaos Passalis; Anastasios Tefas (ICPR (17), 2024)

Plasticity Driven Knowledge Transfer for Continual Deep Reinforcement Learning in Financial Trading. - Dimitrios Katsikas; Nikolaos Passalis; Anastasios Tefas (ICPR (9), 2024)

Multiplicative RMSprop Using Gradient Normalization for Learning Acceleration. - Manos Kirtas; Nikolaos Passalis; Anastasios Tefas (ICPR (29), 2024)

Continual Updates of Face Embeddings Using Deep Reinforcement Learning. - Pavlos Tosidis; Nikolaos Passalis; Anastasios Tefas (ICPR (Workshops and Challenges, 2), 2024)

Improving Active Face Recognition using Multi-Task Learning. - Michail Loufakis; Pavlos Tosidis; Nikolaos Passalis; Anastasios Tefas (IISA, 2024)

Anchored Input-Output Encoding for Improving the Performance of Temporal Convolutional Networks. - Anastasios Vafeidis; Maria Tzelepi; Anastasios Tefas (IISA, 2024)

Bi-Directional Knowledge Transfer For Continual Deep Reinforcement Learning in Financial Trading. - Dimitrios Katsikas; Nikolaos Passalis; Anastasios Tefas (MLSP, 2024)

Optics-informed Neural Networks: Bridging Deep Learning with Photonic Accelerators. - Miltiadis Moralis-Pegios; Apostolos Tsakyridis; Christos Pappas; Theodoros Moschos; George Giamougiannis; Stefanos Kovaios; Ioannis Roumpos; Manos Kirtas; Nikos Passalis; Anastasios Tefas; Nikos Pleros (OFC, 2024)

A TeraFLOP Photonic Matrix Multiplier using Time-Space-Wavelength Multiplexed AWGR-based Architectures. - Christos Pappas; Theodoros Moschos; Miltiadis Moralis-Pegios; George Giamougiannis; Apostolos Tsakyridis; Manos Kirtas; Nikolaos Passalis; Anastasios Tefas; Nikos Pleros (OFC, 2024)

Deep label embedding learning for classification. - Paraskevi Nousi; Anastasios Tefas (Appl. Soft Comput., 2024)

UAV Active Perception and Motion Control for Improving Navigation Using Low-Cost Sensors. - Konstantinos Gounis; Nikolaos Passalis; Anastasios Tefas (CoRR, 2024)

Multiplicative update rules for accelerating deep learning training and increasing robustness. - Manos Kirtas; Nikolaos Passalis; Anastasios Tefas (Neurocomputing, 2024)

Vision-based drone control for autonomous UAV cinematography. - Ioannis Mademlis; Charalampos Symeonidis; Anastasios Tefas; Ioannis Pitas (Multim. Tools Appl., 2024)

Online probabilistic knowledge distillation on cryptocurrency trading using Deep Reinforcement Learning. - Vasileios Moustakidis; Nikolaos Passalis; Anastasios Tefas (Pattern Recognit. Lett., 2024)

Robotic safe adaptation in unprecedented situations: the RoboSAPIENS project. - Peter Gorm Larsen; Shaukat Ali 001; Roland Behrens; Ana Cavalcanti 001; Cláudio Gomes 001; Guoyuan Li; Paul De Meulenaere; Mikkel Labori Olsen; Nikolaos Passalis; Thomas Peyrucain; Jesús Tapia; Anastasios Tefas; et al. (Res. Dir. Cyber Phys. Syst., 2024)

AnIO: anchored input-output learning for time-series forecasting. - Ourania Stentoumi; Paraskevi Nousi; Maria Tzelepi; Anastasios Tefas (Neural Comput. Appl., 2024)

Deep reinforcement learning for financial trading using multi-modal features. - Loukia Avramelou; Paraskevi Nousi; Nikolaos Passalis; Anastasios Tefas (Expert Syst. Appl., 2024)

Semi-supervised learning for on-street parking violation prediction using graph convolutional networks. - Nikolaos Karantaglis; Nikolaos Passalis; Anastasios Tefas (Neural Comput. Appl., 2024)

Vpit: real-time embedded single object 3D tracking using voxel pseudo images. - Illia Oleksiienko; Paraskevi Nousi; Nikolaos Passalis; Anastasios Tefas; Alexandros Iosifidis (Neural Comput. Appl., 2024)

Sepsis Detection Exploiting Biomarker Analysis with Deep Neural Networks. - Dimitrios Spanos; Nikolaos Passalis; Dimosthenis Spasopoulos; Evangelia Chatzianagnostou; Juan Carlos Ruiz-Rodríguez; Juan José González Lopez; Laura M. Lechuga; M.-Carmen Estevez; Nikos Pleros; Anastasios Tefas (ICPS, 2025)

Reliable Uncertainty Estimation in Autonomous Systems via Feature Collapse Mitigation. - Dimitrios Spanos; Nikolaos Passalis; Anastasios Tefas (ICPS, 2025)

A Time-Space-Wavelength Multiplexed AWGR-based Photonic Tensor Core using WDM SiGe EAM array chiplets. - Antonios Prapas; Miltiadis Moralis-Pegios; Apostolos Tsakyridis; Stefanos Kovaios; Odysseas Asimopoulos; Christos Pappas; Theodoros Moschos; Manos Kirtas; Nikolaos Passalis; K. Vyrsokinos; Anastasios Tefas; Nikos Pleros (OFC, 2025)

Leveraging active perception for real-time high-resolution pose estimation. - Theodoros Manousis; Emmanouil Eleftheriadis; Nikolaos Passalis; Anastasios Tefas (Expert Syst. Appl., 2025)

Leveraging subclass learning for improving uncertainty estimation in deep Learning. - Dimitrios Spanos; Nikolaos Passalis; Anastasios Tefas (Neurocomputing, 2025)

Trustworthy knowledge distillation via anchor-guided distribution learning. - Dimitrios Spanos; Nikolaos Passalis; Anastasios Tefas (Knowl. Based Syst., 2025)

New gravitational wave discoveries enabled by machine learning. - Alexandra E. Koloniari; Evdokia C. Koursoumpa; Paraskevi Nousi; Paraskevas Lampropoulos; Nikolaos Passalis; Anastasios Tefas; Nikolaos Stergioulas (Mach. Learn. Sci. Technol., 2025)

Sign potential-driven multiplicative optimization for robust deep reinforcement learning. - Loukia Avramelou; Manos Kirtas; Nikolaos Passalis; Anastasios Tefas (Neural Networks, 2025)

Data efficient Deep Reinforcement Learning for robust inertial-based UAV localization. - Dimitrios Tsiakmakis; Nikolaos Passalis; Anastasios Tefas (Robotics Auton. Syst., 2025)

Explicit Bandwidth Learning for FOREX Trading Using Deep Reinforcement Learning. - Angelos Nalmpantis; Nikolaos Passalis; Anastasios Tefas (IEEE Signal Process. Lett., 2025)

A 262 TOPS Hyperdimensional Photonic AI Accelerator powered by a Si3N4 microcomb laser. - Christos Pappas; Antonios Prapas; Theodoros Moschos; Manos Kirtas; Odysseas Asimopoulos; Apostolos Tsakyridis; Miltiadis Moralis-Pegios; Chris Vagionas; Nikolaos Passalis; Cagri Ozdilek; Timofey Shpakovsky; Alain Yuji Takabayashi; et al. (CoRR, 2025)

Software Engineering for Self-Adaptive Robotics: A Research Agenda. - Shaukat Ali 001; Ana Cavalcanti 001; Cláudio Ângelo Gonçalves Gomes; Peter Gorm Larsen; Hassan Sartaj; Anastasios Tefas; Jim Woodcock 001; Houxiang Zhang (CoRR, 2025)