Statistical analysis of simulation-generated time series: Systolic vs. semi-systolic correlation on the Connection Machine. - T. Dontje; Thomas Lippert; Nicolai Petkov; Klaus Schilling 002 (Parallel Comput., 1992)

Quark propagator on the Connection Machine. - Thomas Lippert; Klaus Schilling 002; Nicolai Petkov (Parallel Comput., 1992)

Biologically Motivated Approach to Face Recognition. - Nicolai Petkov; Peter Kruizinga; Tino Lourens (IWANN, 1993)

Face Recognition on the Connection Machine CM-5. - Nicolai Petkov; Peter Kruizinga; Tino Lourens (PARCO, 1993)

Optical Flow Applied to Person Identification. - Peter Kruizinga; Nicolai Petkov (EUROSIM, 1994)

Conceiving Computationally Intensive Approaches to Vision (Invited Paper). - Nicolai Petkov (HPCN, 1994)

Large scale natural vision simulations. - Tino Lourens; Nicolai Petkov; Peter Kruizinga (Future Gener. Comput. Syst., 1994)

Person identification based on multiscale matching of cortical images. - Peter Kruizinga; Nicolai Petkov (HPCN Europe, 1995)

Biologically motivated self-organizing image classification system. - Nicolai Petkov (HPCN Europe, 1995)

Use of Cortical Filters and Neural Networks in a Self-Organising Image Classification System. - Nicolai Petkov (ICIAP, 1995)

A Computational Model of Periodic-Pattern-Selective Cells. - Peter Kruizinga; Nicolai Petkov (IWANN, 1995)

BLAS-3 for the Quadrics Parallel Computer. - Thomas Lippert; Nicolai Petkov; Klaus Schilling 002 (HPCN Europe, 1997)

Computational models of visual neurons specialised in the detection of periodic and aperiodic oriented visual stimuli: bar and grating cells. - Nikolai Petkov; Peter Kruizinga (Biol. Cybern., 1997)

Grating cell operator features for oriented texture segmentation. - Peter Kruizinga; Nicolai Petkov (ICPR, 1998)

Nonlinear operator for blob texture segmentation. - Peter Kruizinga; Nicolai Petkov (NSIP, 1999)

Nonlinear operator for oriented texture. - Peter Kruizinga; Nicolai Petkov (IEEE Trans. Image Process., 1999)

Graph-Based Features for Texture Discrimination. - Cosmin Grigorescu; Nicolai Petkov (ICPR, 2000)

A Comparative Study of Filter Based Texture Operators Using Mahalanobis Distance. - Simona E. Grigorescu; Nicolai Petkov; Peter Kruizinga (ICPR, 2000)

A Nonlinear Texture Operator Specialized in the Analysis of Dot-Patterns. - Peter Kruizinga; Nicolai Petkov (ICPR, 2000)

Fast Atomic Decomposition by the Inhibition Method. - Arthur E. C. Pece; Nicolai Petkov (ICPR, 2000)

Computational model of dot-pattern selective cells. - Peter Kruizinga; Nikolai Petkov (Biol. Cybern., 2000)

Hyper-systolic matrix multiplication. - Thomas Lippert; Nicolai Petkov; Paolo Palazzari; Klaus Schilling 002 (Parallel Comput., 2001)

Improved Contour Detection by Non-classical Receptive Field Inhibition. - Cosmin Grigorescu; Nicolai Petkov; Michel A. Westenberg (Biologically Motivated Computer Vision, 2002)

Comparison of texture features based on Gabor filters. - Simona E. Grigorescu; Nicolai Petkov; Peter Kruizinga (IEEE Trans. Image Process., 2002)

Contour detection operators based on surround inhibition. - Cosmin Grigorescu; Nicolai Petkov; Michel A. Westenberg (ICIP (3), 2003)

The Role of Non-CRF Inhibition in Contour Detection. - Cosmin Grigorescu; Nicolai Petkov; Michel A. Westenberg (WSCG, 2003)

Suppression of contour perception by band-limited noise and its relation to nonclassical receptive field inhibition. - Nicolai Petkov; Michel A. Westenberg (Biol. Cybern., 2003)

Distance sets for shape filters and shape recognition. - Cosmin Grigorescu; Nicolai Petkov (IEEE Trans. Image Process., 2003)

Contour detection based on nonclassical receptive field inhibition. - Cosmin Grigorescu; Nicolai Petkov; Michel A. Westenberg (IEEE Trans. Image Process., 2003)

GAP Test: A Cognitive Evaluation Procedure for Shape Descriptors. - Anarta Ghosh; Nicolai Petkov (HIS, 2004)

Contour and boundary detection improved by surround suppression of texture edges. - Cosmin Grigorescu; Nicolai Petkov; Michel A. Westenberg (Image Vis. Comput., 2004)

Incomplete Contour Representations and Shape Descriptors: ICR Test Studies. - Anarta Ghosh; Nicolai Petkov (BVAI, 2005)

Algorithm That Mimics Human Perceptual Grouping of Dot Patterns. - Giuseppe Papari; Nicolai Petkov (BVAI, 2005)

Statistical Approach to Boar Semen Head Classification Based on Intracellular Intensity Distribution. - Lidia Sánchez; Nicolai Petkov; Enrique Alegre (CAIP, 2005)

Classification of Boar Spermatozoid Head Images Using a Model Intracellular Density Distribution. - Lidia Sánchez; Nicolai Petkov; Enrique Alegre (CIARP, 2005)

A cognitive evaluation procedure for contour based shape descriptors . - Anarta Ghosh; Nicolai Petkov (Int. J. Hybrid Intell. Syst., 2005)

Robustness of Shape Descriptors to Incomplete Contour Representations. - Anarta Ghosh; Nicolai Petkov (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Contour detection by surround suppression of texture. - Nicolai Petkov (CompIMAGE, 2006)

LVQ acrosome integrity assessment of boar sperm cells. - Nikolai Petkov; Enrique Alegre; Michael Biehl; Lidia Sánchez (CompIMAGE, 2006)

Classification of Boar Sperm Head Images using Learning Vector Quantization. - Michael Biehl; Piter Pasma; Marten Pijl; Lidia Sánchez; Nicolai Petkov (ESANN, 2006)

Contour detection by surround inhibition in the Circular Harmonic Functions domain. - Giuseppe Papari; Patrizio Campisi; Nicolai Petkov; Alessandro Neri 001 (EUSIPCO, 2006)

Contour Detection by Multiresolution Surround Inhibition. - Giuseppe Papari; Patrizio Campisi; Nicolai Petkov; Alessandro Neri 001 (ICIP, 2006)

Effect of High Curvature Point Deletion on the Performance of Two Contour Based Shape Recognition Algorithms. - Anarta Ghosh; Nicolai Petkov (Int. J. Pattern Recognit. Artif. Intell., 2006)

Multilevel surround inhibition: a biologically inspired contour detector. - Giuseppe Papari; Patrizio Campisi; Nicolai Petkov (IPAS, 2007)

Edge and corner preserving smoothing for artistic imaging. - Giuseppe Papari; Nicolai Petkov; Patrizio Campisi (IPAS, 2007)

Motion detection, noise reduction, texture suppression, and contour enhancement by spatiotemporal Gabor filters with surround inhibition. - Nicolai Petkov; Easwar Subramanian (Biol. Cybern., 2007)

A Biologically Motivated Multiresolution Approach to Contour Detection. - Giuseppe Papari; Patrizio Campisi; Nicolai Petkov; Alessandro Neri 001 (EURASIP J. Adv. Signal Process., 2007)

Artistic Edge and Corner Enhancing Smoothing. - Giuseppe Papari; Nicolai Petkov; Patrizio Campisi (IEEE Trans. Image Process., 2007)

Fast multiresolution contour completion. - Giuseppe Papari; Nicolai Petkov (Image Processing: Algorithms and Systems, 2008)

Automatic classification of the acrosome status of boar spermatozoa using digital image processing and LVQ. - Enrique Alegre; Michael Biehl; Nicolai Petkov; Lidia Sánchez (Comput. Biol. Medicine, 2008)

Adaptive Pseudo Dilation for Gestalt Edge Grouping and Contour Detection. - Giuseppe Papari; Nicolai Petkov (IEEE Trans. Image Process., 2008)

Reduced Inverse Distance Weighting Interpolation for Painterly Rendering. - Giuseppe Papari; Nicolai Petkov (CAIP, 2009)

Estimation of Boar Sperm Status Using Intracellular Density Distribution in Grey Level Images. - Lidia Sánchez; Nicolai Petkov (Similarity-Based Clustering, 2009)

Adaptive Metrics for Content Based Image Retrieval in Dermatology. - Kerstin Bunte; Michael Biehl; Nicolai Petkov; Marcel F. Jonkman (ESANN, 2009)

Glass Patterns and Artistic Imaging. - Giuseppe Papari; Nicolai Petkov (PSIVT, 2009)

Continuous Glass Patterns for Painterly Rendering. - Giuseppe Papari; Nikolai Petkov (IEEE Trans. Image Process., 2009)

Closed form of the steered elongated Hermite-Gauss wavelets. - Giuseppe Papari; Patrizio Campisi; Nicolai Petkov (ICIP, 2010)

Steerable Filtering Using Novel Circular Harmonic Functions with Application to Edge Detection. - Giuseppe Papari; Patrizio Campisi; Nicolai Petkov (ICPR, 2010)

Detection of Retinal Vascular Bifurcations by Trainable V4-Like Filters. - George Azzopardi; Nicolai Petkov (CAIP (1), 2011)

Adaptive Matrices for Color Texture Classification. - Kerstin Bunte; Ioannis Giotis 002; Nicolai Petkov; Michael Biehl (CAIP (2), 2011)

Edge and line oriented contour detection: State of the art. - Giuseppe Papari; Nicolai Petkov (Image Vis. Comput., 2011)

Learning effective color features for content based image retrieval in dermatology. - Kerstin Bunte; Michael Biehl; Marcel F. Jonkman; Nicolai Petkov (Pattern Recognit., 2011)

An improved model for surround suppression by steerable filters and multilevel inhibition with application to contour detection. - Giuseppe Papari; Nicolai Petkov (Pattern Recognit., 2011)

CAIP - Computer Analysis of Images and Patterns. - Nicolai Petkov; Xiaoyi Jiang 001 (Pattern Recognit., 2011)

Detection of retinal vascular bifurcations by rotation-, scale- and reflection-invariant COSFIRE filters. - George Azzopardi; Nicolai Petkov (CBMS, 2012)

Contour Detection by CORF Operator. - George Azzopardi; Nicolai Petkov (ICANN (1), 2012)

Detection of Retinal Vascular Bifurcations by Rotation- and Scale-Invariant COSFIRE Filters. - George Azzopardi; Nicolai Petkov (ICIAR (2), 2012)

A CORF computational model of a simple cell that relies on LGN input outperforms the Gabor function model. - George Azzopardi; Nicolai Petkov (Biol. Cybern., 2012)

Cluster-based adaptive metric classification. - Ioannis Giotis 002; Nicolai Petkov (Neurocomputing, 2012)

Corrigendum to "Cluster-based adaptive metric classification" [Neurocomputing 81 (2012) 33-40]. - Ioannis Giotis 002; Nicolai Petkov (Neurocomputing, 2012)

New Families of Fourier Eigenfunctions for Steerable Filtering. - Giuseppe Papari; Patrizio Campisi; Nicolai Petkov (IEEE Trans. Image Process., 2012)

COSFIRE: A Brain-Inspired Approach to Visual Pattern Recognition. - George Azzopardi; Nicolai Petkov (BrainComp, 2013)

A Shape Descriptor Based on Trainable COSFIRE Filters for the Recognition of Handwritten Digits. - George Azzopardi; Nicolai Petkov (CAIP (2), 2013)

Generating personalized advice for schizophrenia patients. - Ando Emerencia; Lian van der Krieke; Sjoerd Sytema; Nicolai Petkov; Marco Aiello 001 (Artif. Intell. Medicine, 2013)

Assessment of acrosome state in boar spermatozoa heads using n-contours descriptor and RLVQ. - Enrique Alegre; Michael Biehl; Nicolai Petkov; Lidia Sánchez (Comput. Methods Programs Biomed., 2013)

Adaptive Matrices and Filters for Color Texture Classification. - Ioannis Giotis 002; Kerstin Bunte; Nicolai Petkov; Michael Biehl (J. Math. Imaging Vis., 2013)

Automatic detection of vascular bifurcations in segmented retinal images using trainable COSFIRE filters. - George Azzopardi; Nicolai Petkov (Pattern Recognit. Lett., 2013)

Classification system for mortgage arrear management. - Zhe Sun; Marco A. Wiering; Nicolai Petkov (CIFEr, 2014)

Automated Segmentation of Folk Songs Using Artificial Neural Networks. - Andreas C. Neocleous; Nicolai Petkov; Christos N. Schizas (IJCCI (NCTA), 2014)

Ventral-stream-like shape representation: from pixel intensity values to trainable object-selective COSFIRE models. - George Azzopardi; Nicolai Petkov (Frontiers Comput. Neurosci., 2014)

Erratum to: Adaptive Matrices and Filters for Color Texture Classification. - Ioannis Giotis 002; Kerstin Bunte; Nicolai Petkov; Michael Biehl (J. Math. Imaging Vis., 2014)

Car crashes detection by audio analysis in crowded roads. - Pasquale Foggia; Alessia Saggese; Nicola Strisciuglio; Mario Vento; Nicolai Petkov (AVSS, 2015)

Bio-Inspired Filters for Audio Analysis. - Nicola Strisciuglio; Mario Vento; Nicolai Petkov (BrainComp, 2015)

Cutting Edge Localisation in an Edge Profile Milling Head. - Laura Fernández-Robles; George Azzopardi; Enrique Alegre; Nicolai Petkov (CAIP (2), 2015)

Recognition of Architectural and Electrical Symbols by COSFIRE Filters with Inhibition. - Jiapan Guo; Chenyu Shi; George Azzopardi; Nicolai Petkov (CAIP (2), 2015)

Filter-Based Approach for Ornamentation Detection and Recognition in Singing Folk Music. - Andreas C. Neocleous; George Azzopardi; Christos N. Schizas; Nicolai Petkov (CAIP (1), 2015)

Automatic Differentiation of u- and n-serrated Patterns in Direct Immunofluorescence Images. - Chenyu Shi; Jiapan Guo; George Azzopardi; Joost M. Meijer; Marcel F. Jonkman; Nicolai Petkov (CAIP (1), 2015)

Multiscale Blood Vessel Delineation Using B-COSFIRE Filters. - Nicola Strisciuglio; George Azzopardi; Mario Vento; Nicolai Petkov (CAIP (2), 2015)

Integrated Electronic Health Record Database Management System: A Proposal. - Eirini C. Schiza; George Panos; Christiana David; Nicolai Petkov; Christos N. Schizas (ICIMTH, 2015)

Training a Convolutional Neural Network for Appearance-Invariant Place Recognition. - Ruben Gomez-Ojeda; Manuel Lopez-Antequera; Nicolai Petkov; Javier González Jiménez 001 (CoRR, 2015)

MED-NODE: A computer-assisted melanoma diagnosis system using non-dermoscopic images. - Ioannis Giotis 002; Nynke Molders; Sander Land; Michael Biehl; Marcel F. Jonkman; Nicolai Petkov (Expert Syst. Appl., 2015)

Trainable COSFIRE filters for vessel delineation with application to retinal images. - George Azzopardi; Nicola Strisciuglio; Mario Vento; Nicolai Petkov (Medical Image Anal., 2015)

Reliable detection of audio events in highly noisy environments. - Pasquale Foggia; Nicolai Petkov; Alessia Saggese; Nicola Strisciuglio; Mario Vento (Pattern Recognit. Lett., 2015)

Time-frequency analysis for audio event detection in real scenarios. - Alessia Saggese; Nicola Strisciuglio; Mario Vento; Nicolai Petkov (AVSS, 2016)

Increased generalization capability of trainable COSFIRE filters with application to machine vision. - George Azzopardi; Laura Fernández-Robles; Enrique Alegre; Nicolai Petkov (ICPR, 2016)

Image-based localization using Gaussian Processes. - Manuel Lopez-Antequera; Nicolai Petkov; Javier González Jiménez 001 (IPIN, 2016)

Special issue on selected papers from CAIP 2015. - George Azzopardi; Nicolai Petkov (Mach. Vis. Appl., 2016)

Inhibition-augmented trainable COSFIRE filters for keypoint detection and object recognition. - Jiapan Guo; Chenyu Shi; George Azzopardi; Nicolai Petkov (Mach. Vis. Appl., 2016)

Supervised vessel delineation in retinal fundus images with the automatic selection of B-COSFIRE filters. - Nicola Strisciuglio; George Azzopardi; Mario Vento; Nicolai Petkov (Mach. Vis. Appl., 2016)

Odor recognition in robotics applications by discriminative time-series modeling. - Frank-Michael Schleif; Barbara Hammer; Javier Gonzalez Monroy; Javier González Jiménez 001; José Luis Blanco-Claraco; Michael Biehl; Nicolai Petkov (Pattern Anal. Appl., 2016)

Automating Vector Autoregression on Electronic Patient Diary Data. - Ando Celino Emerencia; Lian van der Krieke; Elisabeth H. Bos; Peter de Jonge; Nicolai Petkov; Marco Aiello 001 (IEEE J. Biomed. Health Informatics, 2016)

Audio Surveillance of Roads: A System for Detecting Anomalous Sounds. - Pasquale Foggia; Nicolai Petkov; Alessia Saggese; Nicola Strisciuglio; Mario Vento (IEEE Trans. Intell. Transp. Syst., 2016)

A real-time system for audio source localization with cheap sensor device. - Alessia Saggese; Nicola Strisciuglio; Mario Vento; Nicolai Petkov (AVSS, 2017)

Detection of Curved Lines with B-COSFIRE Filters: A Case Study on Crack Delineation. - Nicola Strisciuglio; George Azzopardi; Nicolai Petkov (CAIP (1), 2017)

City-scale continuous visual localization. - Manuel Lopez-Antequera; Nicolai Petkov; Javier González Jiménez 001 (ECMR, 2017)

Evaluation of Whole-Image Descriptors for Metric Localization. - Manuel Lopez-Antequera; Javier González Jiménez 001; Nicolai Petkov (EUROCAST (2), 2017)

Towards Egocentric Sentiment Analysis. - Estefanía Talavera; Petia Radeva; Nicolai Petkov (EUROCAST (2), 2017)

Sentiment Recognition in Egocentric Photostreams. - Estefanía Talavera; Nicola Strisciuglio; Nicolai Petkov; Petia Radeva (IbPRIA, 2017)

Marker selection for the detection of trisomy 21 using generalized matrix learning vector quantization. - Andreas C. Neocleous; Costas Neocleous; Christos N. Schizas; Michael Biehl; Nicolai Petkov (IJCNN, 2017)

Delineation of line patterns in images using B-COSFIRE filters. - Nicola Strisciuglio; Nicolai Petkov (IWOBI, 2017)

Action recognition by learning pose representations. - Alessia Saggese; Nicola Strisciuglio; Mario Vento; Nicolai Petkov (CoRR, 2017)

Inhibition-augmented COSFIRE model of shape-selective neurons. - Jiapan Guo; Chenyu Shi; George Azzopardi; Nicolai Petkov (IBM J. Res. Dev., 2017)

Color-blob-based COSFIRE filters for object recognition. - Baris Gecer; George Azzopardi; Nicolai Petkov (Image Vis. Comput., 2017)

Appearance-invariant place recognition by discriminatively training a convolutional neural network. - Manuel Lopez-Antequera; Ruben Gomez-Ojeda; Nicolai Petkov; Javier González Jiménez 001 (Pattern Recognit. Lett., 2017)

Predicting Slaughter Weight in Pigs with Regression Tree Ensembles. - Ahmad Alsahaf; George Azzopardi; Bart Ducro; Roel F. Veerkamp; Nicolai Petkov (APPIS, 2018)

Automatic Segmentation of Indoor and Outdoor Scenes from Visual Lifelogging. - Juan Buhagiar; Nicola Strisciuglio; Nicolai Petkov; George Azzopardi (APPIS, 2018)

Detection of Globular Clusters in the Halo of Milky Way. - Mohammad Mohammadi 004; Nicolai Petkov; Reynier F. Peletier; Pedro Bibiloni; Kerstin Bunte (APPIS, 2018)

Towards Egocentric Person Re-Identification and Social Pattern Analysis. - Estefanía Talavera; Alexandre Cola; Nicolai Petkov; Petia Radeva (APPIS, 2018)

Brain-Inspired Robust Delineation Operator. - Nicola Strisciuglio; George Azzopardi; Nicolai Petkov (ECCV Workshops (3), 2018)

Camera Localization in Outdoor Garden Environments Using Artificial Landmarks. - Nicola Strisciuglio; Maria Leyva-Vallina; Nicolai Petkov; Rafael Muñoz-Salinas (IWOBI, 2018)

TrimBot2020: an outdoor robot for automatic gardening. - Nicola Strisciuglio; Radim Tylecek; Nicolai Petkov; Peter Bieber; Jochen Hemming; Eldert J. van Henten; Torsten Sattler; Marc Pollefeys; Theo Gevers; Thomas Brox; Robert B. Fisher (CoRR, 2018)

Brain-Inspired Algorithms for Processing of Visual Data. - Nicola Strisciuglio; Nicolai Petkov (BrainComp, 2019)

Place Recognition in Gardens by Learning Visual Representations: Data Set and Benchmark Analysis. - Maria Leyva-Vallina; Nicola Strisciuglio; Nicolai Petkov (CAIP (1), 2019)

Unsupervised Routine Discovery in Egocentric Photo-Streams. - Estefanía Talavera; Nicolai Petkov; Petia Radeva (CAIP (1), 2019)

Trainable COPE Features for Sound Event Detection. - Nicola Strisciuglio; Nicolai Petkov (CIARP, 2019)

Integration of CNN into a Robotic Architecture to Build Semantic Maps of Indoor Environments. - David Chaves 001; José-Raúl Ruiz-Sarmiento; Nicolai Petkov; Javier González Jiménez 001 (IWANN (2), 2019)

Facilitating the learning process in parallel computing by using instant messaging. - Ángel Manuel Guerrero-Higueras; Lidia Sánchez-González; Miguel Ángel Conde; Francisco J. Rodríguez-Lera; Manuel Castejón Limas; Nicolai Petkov (TEEM, 2019)

Estimation of Muscle Scores of Live Pigs Using a Kinect Camera. - Ahmad Alsahaf; George Azzopardi; Bart Ducro; Egiel Hanenberg; Roel F. Veerkamp; Nicolai Petkov (IEEE Access, 2019)

Automatic Determination of Vertical Cup-to-Disc Ratio in Retinal Fundus Images for Glaucoma Screening. - Jiapan Guo; George Azzopardi; Chenyu Shi; Nomdo M. Jansonius; Nicolai Petkov (IEEE Access, 2019)

TB-Places: A Data Set for Visual Place Recognition in Garden Environments. - Maria Leyva-Vallina; Nicola Strisciuglio; Manuel Lopez-Antequera; Radim Tylecek; Michael Blaich; Nicolai Petkov (IEEE Access, 2019)

Place and Object Recognition by CNN-Based COSFIRE Filters. - Manuel Lopez-Antequera; Maria Leyva-Vallina; Nicola Strisciuglio; Nicolai Petkov (IEEE Access, 2019)

Learning sound representations using trainable COPE feature extractors. - Nicola Strisciuglio; Mario Vento; Nicolai Petkov (CoRR, 2019)

A Push-Pull Layer Improves Robustness of Convolutional Neural Networks. - Nicola Strisciuglio; Manuel Lopez-Antequera; Nicolai Petkov (CoRR, 2019)

Towards Unsupervised Familiar Scene Recognition in Egocentric Videos. - Estefanía Talavera; Nicolai Petkov; Petia Radeva (CoRR, 2019)

Towards Emotion Retrieval in Egocentric PhotoStream. - Estefanía Talavera; Petia Radeva; Nicolai Petkov (CoRR, 2019)

Detection of u-serrated patterns in direct immunofluorescence images of autoimmune bullous diseases by inhibition-augmented COSFIRE filters. - Chenyu Shi; Joost M. Meijer; Jiapan Guo; George Azzopardi; Gilles F. H. Diercksr; Enno Schmidt; Detlef Zillikens; Marcel F. Jonkman; Nicolai Petkov (Int. J. Medical Informatics, 2019)

Globular cluster detection in the GAIA survey. - Mohammad Mohammadi 004; Nicolai Petkov; Kerstin Bunte; Reynier F. Peletier; Frank-Michael Schleif (Neurocomputing, 2019)

Learning representations of sound using trainable COPE feature extractors. - Nicola Strisciuglio; Mario Vento; Nicolai Petkov (Pattern Recognit., 2019)

Learning skeleton representations for human action recognition. - Alessia Saggese; Nicola Strisciuglio; Mario Vento; Nicolai Petkov (Pattern Recognit. Lett., 2019)

Robust Inhibition-Augmented Operator for Delineation of Curvilinear Structures. - Nicola Strisciuglio; George Azzopardi; Nicolai Petkov (IEEE Trans. Image Process., 2019)

Proposal for an eHealth Based Ecosystem Serving National Healthcare. - Eirini C. Schiza; Theodoros C. Kyprianou; Nicolai Petkov; Christos N. Schizas (IEEE J. Biomed. Health Informatics, 2019)

Virtual Reality for Pain Management in Cancer: A Comprehensive Review. - Melpo Pittara; Maria Matsangidou; Kyriakos Stylianides; Nicolai Petkov; Constantinos S. Pattichis (IEEE Access, 2020)

MTStereo 2.0: improved accuracy of stereo depth estimation withMax-trees. - Rafaël Brandt; Nicola Strisciuglio; Nicolai Petkov (CoRR, 2020)

Modular domain-to-domain translation network. - Savvas Karatsiolis; Christos N. Schizas; Nicolai Petkov (Neural Comput. Appl., 2020)

Enhanced robustness of convolutional networks with a push-pull inhibition layer. - Nicola Strisciuglio; Manuel Lopez-Antequera; Nicolai Petkov (Neural Comput. Appl., 2020)

Topic modelling for routine discovery from egocentric photo-streams. - Estefanía Talavera; Carolin Wuerich; Nicolai Petkov; Petia Radeva (Pattern Recognit., 2020)

Efficient binocular stereo correspondence matching with 1-D Max-Trees. - Rafaël Brandt; Nicola Strisciuglio; Nicolai Petkov; Michael H. F. Wilkinson (Pattern Recognit. Lett., 2020)

AReN: A Deep Learning Approach for Sound Event Recognition Using a Brain Inspired Representation. - Antonio Greco 001; Nicolai Petkov; Alessia Saggese; Mario Vento (IEEE Trans. Inf. Forensics Secur., 2020)

Hierarchical Approach to Classify Food Scenes in Egocentric Photo-Streams. - Estefanía Talavera; Maria Leyva-Vallina; Md. Mostafa Kamal Sarker; Domenec Puig; Nicolai Petkov; Petia Radeva (IEEE J. Biomed. Health Informatics, 2020)

MTStereo 2.0: Accurate Stereo Depth Estimation via Max-Tree Matching. - Rafaël Brandt; Nicola Strisciuglio; Nicolai Petkov (CAIP (1), 2021)

Exploiting Spatio-Temporal Coherence for Video Object Detection in Robotics. - David Fernández Chaves; José Luis Matez-Bandera; José-Raúl Ruiz-Sarmiento; Javier Monroy; Nicolai Petkov; Javier González Jiménez 001 (CAIP (2), 2021)

Generalized Contrastive Optimization of Siamese Networks for Place Recognition. - Maria Leyva-Vallina; Nicola Strisciuglio; Nicolai Petkov (CoRR, 2021)

ViMantic, a distributed robotic architecture for semantic mapping in indoor environments. - David Fernández Chaves; José-Raúl Ruiz-Sarmiento; Nicolai Petkov; Javier González Jiménez 001 (Knowl. Based Syst., 2021)

A framework for feature selection through boosting. - Ahmad Alsahaf; Nicolai Petkov; Vikram Shenoy; George Azzopardi (Expert Syst. Appl., 2022)

[email protected], an ecosystem of virtual environments and tools for realistic indoor robotic simulation. - David Fernández Chaves; José-Raúl Ruiz-Sarmiento; Alberto Jaenal; Nicolai Petkov; Javier González Jiménez 001 (Expert Syst. Appl., 2022)

LTC-Mapping, Enhancing Long-Term Consistency of Object-Oriented Semantic Maps in Robotics. - José Luis Matez-Bandera; David Fernández Chaves; José-Raúl Ruiz-Sarmiento; Javier Monroy; Nicolai Petkov; Javier González Jiménez 001 (Sensors, 2022)

Data-Efficient Large Scale Place Recognition with Graded Similarity Supervision. - Maria Leyva-Vallina; Nicola Strisciuglio; Nicolai Petkov (CVPR, 2023)

Keynote Address: Improving Contour Detection by Surround Suppression of Texture. - Nicolai Petkov (SMAP, 2023)

Facial Image and Video Pain Intensity Estimation. - Melpo Pittara; Andreas Anastasiou; Konstantinos Andreou; Andreas Panayides; Nicolai Petkov; Constantinos S. Pattichis (IEEECONF, 2024)

Regressing Transformers for Data-efficient Visual Place Recognition. - Maria Leyva-Vallina; Nicola Strisciuglio; Nicolai Petkov (ICRA, 2024)