An anthropocentric description scheme for movies content classification and indexing. - Nicholas Vretos; Vassilios Solachidis; Ioannis Pitas (EUSIPCO, 2005)

An MPEG-7 Based Description Scheme for Video Analysis Using Anthropocentric Video Content Descriptors. - Nicholas Vretos; Vassilios Solachidis; Ioannis Pitas (Panhellenic Conference on Informatics, 2005)

A Mutual Information based Face Clustering Algorithm for Movies. - Nicholas Vretos; Vassilios Solachidis; Ioannis Pitas (ICME, 2006)

A Face Tracker Trajectories Clustering Using Mutual Information. - Nicholas Vretos; Vassilios Solachidis; Ioannis Pitas (MMSP, 2007)

Facial expression recognition using angle-related information from facial meshes. - Nicholas Vretos; Vassilios Solachidis; Petr Somol; Ioannis Pitas (EUSIPCO, 2008)

A model-based facial expression recognition algorithm using Principal Components Analysis. - Nicholas Vretos; Nikos Nikolaidis 001; Ioannis Pitas (ICIP, 2009)

A perceptual hashing algorithm using latent dirichlet allocation. - Nicholas Vretos; Nikos Nikolaidis 001; Ioannis Pitas (ICME, 2009)

Face clustering in videos based on spectral clustering techniques. - Christina Chrysouli; Nicholas Vretos; Ioannis Pitas (ACPR, 2011)

3D facial expression recognition using Zernike moments on depth images. - Nicholas Vretos; Nikos Nikolaidis 001; Ioannis Pitas (ICIP, 2011)

A mutual information based face clustering algorithm for movie content analysis. - Nicholas Vretos; Vassilios Solachidis; Ioannis Pitas (Image Vis. Comput., 2011)

The use of Audio-Visual Description Profile in 3D video content description. - Nicholas Vretos; Nikos Nikolaidis 001; Ioannis Pitas (3DTV-Conference, 2012)

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

Video fingerprinting using Latent Dirichlet Allocation and facial images. - Nicholas Vretos; Nikos Nikolaidis 001; Ioannis Pitas (Pattern Recognit., 2012)

Ανθρωποκεντρική ανάλυση και σημασιολογική περιγραφή βίντεο - Nicholas Vretos (2012)

Three-dimensional monitoring of weightlifting for computer assisted training. - Anargyros Chatzitofis; Nicholas Vretos; Dimitrios Zarpalas; Petros Daras (VRIC, 2013)

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

Future Media Internet Technologies for Digital Domes. - Dimitrios Christopoulos; Efstathia Chatzi; Anargyros Chatzitofis; Nicholas Vretos; Petros Daras (HCI (16), 2014)

Temporal and color consistent disparity estimation in stereo videos. - Nicholas Vretos; Petros Daras (ICIP, 2014)

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

Action recognition from videos using sparse trajectories. - Alexandros Doumanoglou; Nicholas Vretos; Petros Daras (ICDP, 2016)

Enhancing real-time full 3D reconstruction of humans with pre-scanned meshes. - Nicholas Vretos; Dimitrios S. Alexiadis; Dimitrios Zarpalas; Petros Daras (ICIP, 2016)

Social Media Interaction and Analytics for Enhanced Educational Experiences. - Georgios Palaiokrassas; Athanasios Voulodimos; Kleopatra Konstanteli; Nicholas Vretos; David Salama Osborne; Efstathia Chatzi; Petros Daras; Dora Varvarigou (IEEE Multim., 2016)

ICT Services for Life Improvement for the Elderly. - Alejandro Sánchez-Rico; Pascal Garel; Isabella Notarangelo; Marcos Quintana; Gustavo Hernández; Stylianos Asteriadis; Mirela Popa; Nicholas Vretos; Vassilis Solachidis; Marta Burgos; Ariane Girault (AAATE Conf., 2017)

Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform. - Federico Alvarez; Mirela Popa; Nicholas Vretos; Alberto Belmonte-Hernandez; Stelios Asteriadis; Vassilis Solachidis; Triana Mariscal; Dario Dotti; Petros Daras (AVSS, 2017)

Person tracking association using multi-modal systems. - Alberto Belmonte-Hernandez; Vassilis Solachidis; Thomas Theodoridis; Gustavo Hernandez-Penaloza; Giuseppe Conti; Nicholas Vretos; Federico Alvarez; Petros Daras (AVSS, 2017)

ICT4Life open source libraries supporting multimodal analysis of different diseases. - Thomas Theodoridis; Vassilis Solachidis; Nicholas Vretos; Petros Daras; Dario Dotti; Mirela Popa; Gustavo Hernández; Federico Alvarez; Alejandro Gonzalez Paton; Angel Lopez (AVSS, 2017)

Non-linear Convolution Filters for CNN-Based Learning. - Georgios Zoumpourlis; Alexandros Doumanoglou; Nicholas Vretos; Petros Daras (ICCV, 2017)

Affect state recognition for adaptive human robot interaction in learning environments. - Dimitrios Antonaras; Charis Pavlidis; Nicholas Vretos; Petros Daras (SMAP, 2017)

Modelling learning experiences in adaptive multi-agent learning environments. - Dorothea Tsatsou; Nicholas Vretos; Petros Daras (VS-GAMES, 2017)

Adaptive Learning Based on Affect Sensing. - Dorothea Tsatsou; Andrew Pomazanskyi; Enrique Hortal; Evaggelos Spyrou; Helen C. Leligou; Stylianos Asteriadis; Nicholas Vretos; Petros Daras (AIED (2), 2018)

Exploiting IoT Technologies for Personalized Learning. - Evaggelos Spyrou; Nicholas Vretos; Andrew Pomazanskyi; Stylianos Asteriadis; Helen C. Leligou (CIG, 2018)

Leveraging Skeleton Structure and Time Dependencies in the Scope of Action Recognition. - Ioannis Tsingalis; Nicholas Vretos; Petros Daras (ICIP, 2018)

Affective State Recognition based on eye gaze Analysis using two-Stream Convolutional Networks. - Christina Chrysouli; Nicholas Vretos; Petros Daras (MLSP, 2018)

Two examples of online eHealth platforms for supporting people living with cognitive impairments and their caregivers. - Vassilis Solachidis; Ioannis Paliokas; Nicholas Vretos; Konstantinos Votis; Ulises Cortés; Dimitrios Tzovaras (PETRA, 2018)

Adaptive Tobit Kalman-Based Tracking. - Kostas Loumponias; Anastasios Dimou; Nicholas Vretos; Petros Daras (SITIS, 2018)

Behavior Analysis through Multimodal Sensing for Care of Parkinson's and Alzheimer's Patients. - Federico Alvarez; Mirela Popa; Vassilios Solachidis; Gustavo Hernandez-Penaloza; Alberto Belmonte-Hernandez; Stylianos Asteriadis; Nicholas Vretos; Marcos Quintana; Thomas Theodoridis; Dario Dotti; Petros Daras (IEEE Multim., 2018)

A Battery Powered Vision Sensor for Forensic Evidence Gathering. - Yu Zou; Michela Lecca; Massimo Gottardi; Giulio Urlini; Nicholas Vretos; Lazaros Gymnopoulos; Petros Daras (ICDSC, 2019)

Embedding Big Data in Graph Convolutional Networks. - Gerasimos Palaiopanos; Panagiotis Stalidis; Nicholas Vretos; Theodoros Semertzidis; Petros Daras (ICE/ITMC, 2019)

A novel framework for physical therapy rehabilitation monitoring and assessment in Parkinson disease patients using depth information. - Alberto Belmonte-Hernández; Thomas Theodoridis; Marta Burgos González; Gustavo Hernández-Peñaloza; Vassilios Solachidis; Jennifer Jiménez Ramos; Federico Álvarez; Nicholas Vretos; Laura Carrasco; Petros Daras (PETRA, 2019)

Frequency-based slow feature analysis. - Alexandros Doumanoglou; Nicholas Vretos; Petros Daras (Neurocomputing, 2019)

Graph-based multimodal fusion with metric learning for multimodal classification. - Michalis Angelou; Vassilis Solachidis; Nicholas Vretos; Petros Daras (Pattern Recognit., 2019)

Exploiting sensing devices availability in AR/VR deployments to foster engagement. - Nicholas Vretos; Petros Daras; Stylianos Asteriadis; Enrique Hortal; Esam Ghaleb; Evaggelos Spyrou; Helen C. Leligou; Panagiotis Karkazis; Panagiotis Trakadas; Kostantinos Assimakopoulos (Virtual Real., 2019)

Multi-view Adaptive Graph Convolutions for Graph Classification. - Nikolas Adaloglou; Nicholas Vretos; Petros Daras (ECCV (26), 2020)

Embracing Novel ICT Technologies to Support the Journey From Camp to Job. - Helen C. Leligou; Despina Anastosopoulos; Anita Montagna; Vassilis Solachidis; Nicholas Vretos (ICME Workshops, 2020)

Nadine-Bot: An Open Domain Migrant Integration Administrative Agent. - Athanasios Lelis; Nicholas Vretos; Petros Daras (ICME Workshops, 2020)

RobusterNet: Improving Copy-Move Forgery Detection with Volterra-based Convolutions. - Efthimia Kafali; Nicholas Vretos; Theodoros Semertzidis; Petros Daras (ICPR, 2020)

Non-Parametric Clustering Using Deep Neural Networks. - Christos Avgerinos; Vassilios Solachidis; Nicholas Vretos; Petros Daras (IEEE Access, 2020)

Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans. - Paschalis Bizopoulos; Nicholas Vretos; Petros Daras (CoRR, 2020)

An Improved Tobit Kalman Filter with Adaptive Censoring Limits. - Kostas Loumponias; Nicholas Vretos; George Tsaklidis; Petros Daras (Circuits Syst. Signal Process., 2020)

TeNDER: towards efficient Health Systems through e-Health platforms employing multimodal monitoring. - Vassilis Solachidis; Jaime Rodriguez Moreno; Gustavo Hernández-Peñaloza; Nicholas Vretos; Federico Álvarez; Petros Daras (CHASE, 2021)

Zernike Pooling: Generalizing Average Pooling Using Zernike Moments. - Thomas Theodoridis; Kostas Loumponias; Nicholas Vretos; Petros Daras (IEEE Access, 2021)

A Symbiotic Orchestration Module for Multi-agent Collaboration in Disaster Response Scenarios. - Thomas Theodoridis; George Katsikas; Nicholas Vretos; Petros Daras (ISCRAM, 2022)

Monitoring of motor function in the rehabilitation room. - Jennifer Jiménez; Juan Mercado; Laura Carrasco; Verónica Ruíz; Vassilios Solachidis; Javier Serrano 003; Nicholas Vretos; Federico Álvarez (PETRA, 2022)

Virtual assistants and intelligent care environments for long-term patients: A Home set scenario. - Rodrigo Medina-García; Cristina María Lozano-Hernández; Juan Mercado Gómez; Jennifer Jiménez Ramos; Spela Glisovic Krivec; Martina Steinböck; Agostino Chiaravalloti; Panagiotis Karkazis; Vassilis Solachidis; Nicholas Vretos; Javier Serrano 003; Federico Álvarez (PETRA, 2022)

Less Is More: Adaptive Trainable Gradient Dropout for Deep Neural Networks. - Christos Avgerinos; Nicholas Vretos; Petros Daras (Sensors, 2023)

Transformer-Based Fire Detection in Videos. - Konstantina Mardani; Nicholas Vretos; Petros Daras (Sensors, 2023)

Variational Structure Learning for Semi-Supervised Classification. - Konstantinos Marthoglou; Nicholas Vretos; Petros Daras (MLSP, 2024)

Survey on Graph Neural Networks. - Georgios Gkarmpounis; Christos Vranis; Nicholas Vretos; Petros Daras (IEEE Access, 2024)

Mahalanobis Distance-Based Graph Attention Networks. - Konstantina Mardani; Nicholas Vretos; Petros Daras (IEEE Access, 2024)

Advances in Facial Expression Recognition: A Survey of Methods, Benchmarks, Models, and Datasets. - Thomas Kopalidis; Vassilios Solachidis; Nicholas Vretos; Petros Daras (Inf., 2024)