Anastasios Tefas

514 papers A* 3A 5B 56C 25Misc 23Journal 203Unranked 197

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving uncertainty estimation in deep neural networks by modeling class and instance uncertainty. Pattern Recognit. Dimitrios Spanos, Nikolaos Passalis, Anastasios Tefas
2026	J	`jnl`	Neuromorphic photonic neural networks for on-chip gas spectra classification. Appl. Soft Comput. Loukia Avramelou, Manos Kirtas, Odysseas Asimopoulos, Theodoros Moschos, Antonios Prapas, Georgios Tsamis, Apostolos Tsakyridis, Miltiadis Moralis-Pegios, Aitor V. Velasco, Irene Olivares, Carlos Alonso-Ramos, Sara Toxqui Rodríguez, Nikolaos Passalis, Nikolaos Pleros, Anastasios Tefas
2026	J	`jnl`	Non-negative isomorphic neural networks for efficient accelerators. Neurocomputing Manos Kirtas, Nikolaos Passalis, Nikos Pleros, Anastasios Tefas
2025	J	`jnl`	A 262 TOPS Hyperdimensional Photonic AI Accelerator powered by a Si3N4 microcomb laser. CoRR 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, John D. Jost, Maxim Karpov, Anastasios Tefas, Nikos Pleros
2025	—	`conf`	A Time-Space-Wavelength Multiplexed AWGR-based Photonic Tensor Core using WDM SiGe EAM array chiplets. OFC 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
2025	J	`jnl`	Data efficient Deep Reinforcement Learning for robust inertial-based UAV localization. Robotics Auton. Syst. Dimitrios Tsiakmakis, Nikolaos Passalis, Anastasios Tefas
2025	—	`conf`	Embedded Real-Time Robotic Perception for Lightweight High-Resolution Weed Detection. IISA Emmanouil Mpampis, Nikolaos Passalis, Anastasios Tefas
2025	—	`conf`	Expert-Guided Deep Reinforcement Learning for Autonomous Financial Asset Trading. IISA Ioannis Drossas, Loukia Avramelou, Nikolaos Passalis, Anastasios Tefas
2025	J	`jnl`	Explicit Bandwidth Learning for FOREX Trading Using Deep Reinforcement Learning. IEEE Signal Process. Lett. Angelos Nalmpantis, Nikolaos Passalis, Anastasios Tefas
2025	—	`conf`	Fast and Robust Training of Deep Learning Models with Multiplicative Adagrad. MLSP Manos Kirtas, Nikolaos Passalis, Anastasios Tefas
2025	J	`jnl`	Inducing Neural Collapse via Anticlasses and One-Cold Cross-Entropy Loss. IEEE Trans. Neural Networks Learn. Syst. Dimitrios Katsikas, Nikolaos Passalis, Anastasios Tefas
2025	—	`conf`	Integrating Contractive Loss in Proximal Policy Optimization for Robust Decision-Making. EUSIPCO Michail Dadopoulos, Loukia Avramelou, Nikolaos Passalis, Anastasios Tefas
2025	J	`jnl`	Large Models in Dialogue for Active Perception and Anomaly Detection. CoRR Tzoulio Chamiti, Nikolaos Passalis, Anastasios Tefas
2025	—	`conf`	Latent Behavior Cloning for Deep Reinforcement Learning Robotic Tasks. EUSIPCO Romanos Voulgarakis, Dimitrios Katsikas, Nikolaos Passalis, Anastasios Tefas
2025	J	`jnl`	Leveraging active perception for real-time high-resolution pose estimation. Expert Syst. Appl. Theodoros Manousis, Emmanouil Eleftheriadis, Nikolaos Passalis, Anastasios Tefas
2025	J	`jnl`	Leveraging subclass learning for improving uncertainty estimation in deep Learning. Neurocomputing Dimitrios Spanos, Nikolaos Passalis, Anastasios Tefas
2025	—	`conf`	Model Merging for Deep Reinforcement Learning in Autonomous Financial Trading Systems. IISA Loukia Avramelou, Dimitrios Litsidis, Nikolaos Passalis, Anastasios Tefas
2025	B	`conf`	Multiplicative Stochastic Gradient Descent for fast and robust deep learning training. IJCNN Manos Kirtas, Nikolaos Passalis, Anastasios Tefas
2025	J	`jnl`	New gravitational wave discoveries enabled by machine learning. Mach. Learn. Sci. Technol. Alexandra E. Koloniari, Evdokia C. Koursoumpa, Paraskevi Nousi, Paraskevas Lampropoulos, Nikolaos Passalis, Anastasios Tefas, Nikolaos Stergioulas
2025	—	`conf`	Perception-Based Probabilistic Latent Space Matching for Anomaly Detection in Industrial Autonomous Systems. IISA Neron Michail Panagiotopoulos, Nikolaos Passalis, Anastasios Tefas
2025	—	`conf`	Reliable Uncertainty Estimation in Autonomous Systems via Feature Collapse Mitigation. ICPS Dimitrios Spanos, Nikolaos Passalis, Anastasios Tefas
2025	—	`conf`	Robust Robotic Perception Using Adaptive Multiplicative Optimization for Deep Reinforcement Learning. IISA Loukia Avramelou, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas
2025	—	`conf`	Sepsis Detection Exploiting Biomarker Analysis with Deep Neural Networks. ICPS 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
2025	J	`jnl`	Sign potential-driven multiplicative optimization for robust deep reinforcement learning. Neural Networks Loukia Avramelou, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas
2025	B	`conf`	Single Pass Uncertainty Estimation in Q-Learning via Dropout Distillation. IJCNN Nikolaos Kaparinos, Nikolaos Passalis, Anastasios Tefas
2025	J	`jnl`	Software Engineering for Self-Adaptive Robotics: A Research Agenda. CoRR Shaukat Ali, Ana Cavalcanti, Cláudio Ângelo Gonçalves Gomes, Peter Gorm Larsen, Hassan Sartaj, Anastasios Tefas, Jim Woodcock, Houxiang Zhang
2025	J	`jnl`	Trustworthy knowledge distillation via anchor-guided distribution learning. Knowl. Based Syst. Dimitrios Spanos, Nikolaos Passalis, Anastasios Tefas
2024	—	`conf`	A TeraFLOP Photonic Matrix Multiplier using Time-Space-Wavelength Multiplexed AWGR-based Architectures. OFC Christos Pappas, Theodoros Moschos, Miltiadis Moralis-Pegios, George Giamougiannis, Apostolos Tsakyridis, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas, Nikos Pleros
2024	J	`jnl`	AnIO: anchored input-output learning for time-series forecasting. Neural Comput. Appl. Ourania Stentoumi, Paraskevi Nousi, Maria Tzelepi, Anastasios Tefas
2024	—	`conf`	Anchored Input-Output Encoding for Improving the Performance of Temporal Convolutional Networks. IISA Anastasios Vafeidis, Maria Tzelepi, Anastasios Tefas
2024	—	`conf`	Bi-Directional Knowledge Transfer For Continual Deep Reinforcement Learning in Financial Trading. MLSP Dimitrios Katsikas, Nikolaos Passalis, Anastasios Tefas
2024	—	`conf`	Continual Updates of Face Embeddings Using Deep Reinforcement Learning. ICPR (Workshops and Challenges, 2) Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas
2024	J	`jnl`	Deep label embedding learning for classification. Appl. Soft Comput. Paraskevi Nousi, Anastasios Tefas
2024	J	`jnl`	Deep reinforcement learning for financial trading using multi-modal features. Expert Syst. Appl. Loukia Avramelou, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas
2024	—	`conf`	Improving Active Face Recognition using Multi-Task Learning. IISA Michail Loufakis, Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas
2024	—	`conf`	Large Models in Dialogue for Active Perception and Anomaly Detection. ICPR (17) Tzoulio Chamiti, Nikolaos Passalis, Anastasios Tefas
2024	—	`conf`	Multiplicative RMSprop Using Gradient Normalization for Learning Acceleration. ICPR (29) Manos Kirtas, Nikolaos Passalis, Anastasios Tefas
2024	J	`jnl`	Multiplicative update rules for accelerating deep learning training and increasing robustness. Neurocomputing Manos Kirtas, Nikolaos Passalis, Anastasios Tefas
2024	J	`jnl`	Online probabilistic knowledge distillation on cryptocurrency trading using Deep Reinforcement Learning. Pattern Recognit. Lett. Vasileios Moustakidis, Nikolaos Passalis, Anastasios Tefas
2024	—	`conf`	Optics-informed Neural Networks: Bridging Deep Learning with Photonic Accelerators. OFC Miltiadis Moralis-Pegios, Apostolos Tsakyridis, Christos Pappas, Theodoros Moschos, George Giamougiannis, Stefanos Kovaios, Ioannis Roumpos, Manos Kirtas, Nikos Passalis, Anastasios Tefas, Nikos Pleros
2024	—	`conf`	Plasticity Driven Knowledge Transfer for Continual Deep Reinforcement Learning in Financial Trading. ICPR (9) Dimitrios Katsikas, Nikolaos Passalis, Anastasios Tefas
2024	—	`conf`	Probabilistic Knowledge Transfer for Lightweight Vision Transformers. EUSIPCO Ioannis Bountouris, Nikolaos Passalis, Anastasios Tefas
2024	—	`conf`	Quantization-Aware Training for Multi-Agent Reinforcement Learning. EUSIPCO Nikolaos Chandrinos, Michalis Amasialidis, Manos Kirtas, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas
2024	J	`jnl`	Robotic safe adaptation in unprecedented situations: the RoboSAPIENS project. Res. Dir. Cyber Phys. Syst. Peter Gorm Larsen, Shaukat Ali, Roland Behrens, Ana Cavalcanti, Cláudio Gomes, Guoyuan Li, Paul De Meulenaere, Mikkel Labori Olsen, Nikolaos Passalis, Thomas Peyrucain, Jesús Tapia, Anastasios Tefas, Houxiang Zhang
2024	J	`jnl`	Semi-supervised learning for on-street parking violation prediction using graph convolutional networks. Neural Comput. Appl. Nikolaos Karantaglis, Nikolaos Passalis, Anastasios Tefas
2024	J	`jnl`	UAV Active Perception and Motion Control for Improving Navigation Using Low-Cost Sensors. CoRR Konstantinos Gounis, Nikolaos Passalis, Anastasios Tefas
2024	J	`jnl`	Using Part-based Representations for Explainable Deep Reinforcement Learning. CoRR Manos Kirtas, Konstantinos Tsampazis, Loukia Avramelou, Nikolaos Passalis, Anastasios Tefas
2024	J	`jnl`	Vision-based drone control for autonomous UAV cinematography. Multim. Tools Appl. Ioannis Mademlis, Charalampos Symeonidis, Anastasios Tefas, Ioannis Pitas
2024	J	`jnl`	Vpit: real-time embedded single object 3D tracking using voxel pseudo images. Neural Comput. Appl. Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
2023	—	`conf`	A Sharpe Ratio Based Reward Scheme in Deep Reinforcement Learning for Financial Trading. AIAI (1) Georgios Rodinos, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas
2023	J	`jnl`	A multiple-UAV architecture for autonomous media production. Multim. Tools Appl. 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, Stephen Boyle, Gregoire Guerout, Anastasios Tefas, Nikos Nikolaidis, David Bull, Ioannis Pitas
2023	C	`conf`	Anchored Input-Output Learning for Electrical Load Demand Forecasting. ISCAS Paraskevi Nousi, Maria Tzelepi, Anastasios Tefas
2023	—	`conf`	Cryptosentiment: A Dataset and Baseline for Sentiment-Aware Deep Reinforcement Learning for Financial Trading. ICASSP Workshops Loukia Avramelou, Paraskevi Nousi, Nikolaos Passalis, Stavros Doropoulos, Anastasios Tefas
2023	—	`conf`	DDOS attack identification via a silicon photonic Deep Neural Network with 50 GHz input and weight update. OFC 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, Elad Mentovich, Nikos Pleros
2023	—	`conf`	Deep Active Perception for Object Detection using Navigation Proposals. SSCI Stefanos Ginargiros, Nikolaos Passalis, Anastasios Tefas
2023	J	`jnl`	Deep Active Perception for Object Detection using Navigation Proposals. CoRR Stefanos Ginargiros, Nikolaos Passalis, Anastasios Tefas
2023	—	`conf`	Deep Active Robotic Perception for Improving Face Recognition Under Occlusions. SSCI Valia Dimaridou, Nikolaos Passalis, Anastasios Tefas
2023	C	`conf`	Deep Learning for Active Robotic Perception. IJCCI Nikolaos Passalis, Pavlos Tosidis, Theodoros Manousis, Anastasios Tefas
2023	J	`jnl`	Deep Learning for Energy Time-Series Analysis and Forecasting. CoRR Maria Tzelepi, Charalampos Symeonidis, Paraskevi Nousi, Efstratios Kakaletsis, Theodoros Manousis, Pavlos Tosidis, Nikos Nikolaidis, Anastasios Tefas
2023	—	`conf`	Deep Reinforcement Learning With Action Masking for Differential-Drive Robot Navigation Using Low-Cost Sensors. MLSP Konstantinos Tsampazis, Manos Kirtas, Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas
2023	J	`jnl`	Deep residual error and bag-of-tricks learning for gravitational wave surrogate modeling. Appl. Soft Comput. Styliani-Christina Fragkouli, Paraskevi Nousi, Nikolaos Passalis, Panagiotis Iosif, Nikolaos Stergioulas, Anastasios Tefas
2023	—	`conf`	Domain-Specific Large Language Model Finetuning using a Model Assistant for Financial Text Summarization. SSCI Loukia Avramelou, Nikolaos Passalis, Grigorios Tsoumakas, Anastasios Tefas
2023	B	`conf`	Enabling High-Resolution Pose Estimation in Real Time Using Active Perception. ICIP Theodoros Manousis, Nikolaos Passalis, Anastasios Tefas
2023	—	`conf`	End-to-End Trainable Gaussian Filtering for Electrocardiogram Signal Classification Using Deep Learning. EUSIPCO Angelos Nalmpantis, Nikolaos Passalis, Anastasios Tefas
2023	Misc	`conf`	Improving Electric Load Demand Forecasting with Anchor-Based Forecasting Method. ICASSP Maria Tzelepi, Paraskevi Nousi, Anastasios Tefas
2023	—	`conf`	Improving Inertial-Based UAV Localization using Data-Efficient Deep Reinforcement Learning. EUSIPCO Dimitrios Tsiakmakis, Nikolaos Passalis, Anastasios Tefas
2023	C	`conf`	Leveraging Active and Continual Learning for Improving Deep Face Recognition in-the-Wild. MMSP Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas
2023	J	`jnl`	Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management. CoRR Paraskevi Nousi, Loukia Avramelou, Georgios Rodinos, Maria Tzelepi, Theodoros Manousis, Konstantinos Tsampazis, Kyriakos Stefanidis, Dimitris Spanos, Emmanouil Kirtas, Pavlos Tosidis, Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
2023	J	`jnl`	Mixed-precision quantization-aware training for photonic neural networks. Neural Comput. Appl. Manos Kirtas, Nikolaos Passalis, Athina Oikonomou, Miltiadis Moralis-Pegios, George Giamougiannis, Apostolos Tsakyridis, George Mourgias-Alexandris, Nikolaos Pleros, Anastasios Tefas
2023	J	`jnl`	Modeling limit order trading with a continuous action policy for deep reinforcement learning. Neural Networks Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
2023	J	`jnl`	Multiplicative update rules for accelerating deep learning training and increasing robustness. CoRR Manos Kirtas, Nikolaos Passalis, Anastasios Tefas
2023	J	`jnl`	Mutual Information-Based Neural Network Distillation for Improving Photonic Neural Network Training. Neural Process. Lett. Alexandros Chariton, Nikolaos Passalis, Nikos Pleros, Anastasios Tefas
2023	J	`jnl`	Non-negative isomorphic neural networks for photonic neuromorphic accelerators. CoRR Manos Kirtas, Nikolaos Passalis, Nikolaos Pleros, Anastasios Tefas
2023	J	`jnl`	Photonic Neural Networks and Optics-informed Deep Learning Fundamentals. CoRR Apostolos Tsakyridis, Miltiadis Moralis-Pegios, George Giamougiannis, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas, Nikos Pleros
2023	—	`conf`	Programmable Photonic Neural Networks for advanced Machine Learning tasks. OFC Angelina Totovic, Apostolos Tsakyridis, George Giamougiannis, Miltiadis Moralis-Pegios, Anastasios Tefas, Nikos Pleros
2023	—	`conf`	Quantization-Aware Training for Mixed Precision Photonic Neural Networks. MLSP Manos Kirtas, Nikolaos Passalis, Athina Oikonomou, Miltiadis Moralis-Pegios, George Giamougiannis, Apostolos Tsakyridis, George Mourgias-Alexandris, Nikolaos Pleros, Anastasios Tefas
2023	C	`conf`	Residual Error Learning for Electricity Demand Forecasting. EANN Achilleas Andronikos, Maria Tzelepi, Anastasios Tefas
2023	C	`conf`	Retrieval-Based Methodology for Few-Sample Logo Recognition. MMSP Dimosthenis Moralis, Maria Tzelepi, Anastasios Tefas
2023	J	`jnl`	Robust Architecture-Agnostic and Noise Resilient Training of Photonic Deep Learning Models. IEEE Trans. Emerg. Top. Comput. Intell. Manos Kirtas, Nikolaos Passalis, George Mourgias-Alexandris, George Dabos, Nikos Pleros, Anastasios Tefas
2023	—	`conf`	Symmetric Fine-Tuning for Improving Few-Shot Object Detection. SSCI Emmanouil Mpampis, Nikolaos Passalis, Anastasios Tefas
2023	B	`conf`	Tweaking EfficientDet for frugal training. ICMR Georgios Orfanidis, Konstantinos Ioannidis, Anastasios Tefas, Stefanos Vrochidis, Ioannis Kompatsiaris
2023	—	`conf`	Using Part-Based Representations for Explainable Deep Reinforcement Learning. PKDD/ECML Workshops (2) Manos Kirtas, Konstantinos Tsampazis, Loukia Avramelou, Nikolaos Passalis, Anastasios Tefas
2023	—	`conf`	Variational Voxel Pseudo Image Tracking. SSCI Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
2023	J	`jnl`	Variational Voxel Pseudo Image Tracking. CoRR Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
2022	J	`jnl`	A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields. CoRR Paraskevi Nousi, Emmanouil Mpampis, Nikolaos Passalis, Ole Green, Anastasios Tefas
2022	C	`conf`	A Robust, Quantization-Aware Training Method for Photonic Neural Networks. EANN Athina Oikonomou, Manos Kirtas, Nikos Passalis, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas
2022	—	`conf`	Active Vision Control Policies for Face Recognition using Deep Reinforcement Learning. EUSIPCO Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas
2022	J	`jnl`	Attention-Based Neural Bag-of-Features Learning for Sequence Data. IEEE Access Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
2022	J	`jnl`	Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling. Neurocomputing Paraskevi Nousi, Styliani-Christina Fragkouli, Nikolaos Passalis, Panagiotis Iosif, Theocharis Apostolatos, George Pappas, Nikolaos Stergioulas, Anastasios Tefas
2022	B	`conf`	Bag-Of-Features-Based Knowledge Distillation For Lightweight Convolutional Neural Networks. ICIP Alexandros Chariton, Nikolaos Passalis, Anastasios Tefas
2022	J	`jnl`	Computer Vision for Autonomous UAV Flight Safety: An Overview and a Vision-based Safe Landing Pipeline Example. ACM Comput. Surv. Efstratios Kakaletsis, Charalampos Symeonidis, Maria Tzelepi, Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2022	—	`conf`	Deep Learning for On-Street Parking Violation Prediction. IVMSP Nikolaos Karantaglis, Nikolaos Passalis, Anastasios Tefas
2022	J	`jnl`	Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate Modeling. CoRR Styliani-Christina Fragkouli, Paraskevi Nousi, Nikolaos Passalis, Panagiotis Iosif, Nikolaos Stergioulas, Anastasios Tefas
2022	—	`conf`	Deep Video Stream Information Analysis and Retrieval: Challenges and Opportunities. MIPR Nikolaos Passalis, Maria Tzelepi, Polychronis Charitidis, Stavros Doropoulos, Stavros Vologiannidis, Anastasios Tefas
2022	—	`conf`	Early Detection of DDoS Attacks using Photonic Neural Networks. IVMSP Manos Kirtas, Nikolaos Passalis, Dimitrios Kalavrouziotis, Dimitris Syrivelis, Paraskevas Bakopoulos, Nikos Pleros, Anastasios Tefas
2022	J	`jnl`	Editorial paper for Pattern Recognition Letters VSI on cross model understanding for visual question answering. Pattern Recognit. Lett. Shaohua Wan, Zan Gao, Hanwang Zhang, Xiaojun Chang, Chen Chen, Anastasios Tefas
2022	—	`conf`	Electric load demand forecasting on Greek Energy Market using lightweight neural networks. IVMSP Nikitas Maragkos, Maria Tzelepi, Nikolaos Passalis, Apostolos N. Adamakos, Anastasios Tefas
2022	C	`ed.`	Engineering Applications of Neural Networks - 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17-20, 2022, Proceedings EANN Lazaros Iliadis, Chrisina Jayne, Anastasios Tefas, Elias Pimenidis
2022	—	`conf`	Forecasting day-ahead electric load demand on Greek Energy Market. IISA Maria Tzelepi, Anastasios Tefas
2022	C	`conf`	Improving Binary Semantic Scene Segmentation for Robotics Applications. EANN Maria Tzelepi, Nikolaos Tragkas, Anastasios Tefas
2022	—	`conf`	Learning photonic neural network initialization for noise-aware end-to-end fiber transmission. EUSIPCO Manos Kirtas, Nikos Passalis, George Mourgias-Alexandris, George Dabos, Nikos Pleros, Anastasios Tefas
2022	J	`jnl`	MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge. CoRR Marlin B. Schäfer, Ondrej Zelenka, Alexander H. Nitz, He Wang, Shichao Wu, Zong-Kuan Guo, Zhoujian Cao, Zhixiang Ren, Paraskevi Nousi, Nikolaos Stergioulas, Panagiotis Iosif, Alexandra E. Koloniari, Anastasios Tefas, Nikolaos Passalis, Francesco Salemi, Gabriele Vedovato, Sergey Klimenko, Tanmaya Mishra, Bernd Brügmann, Elena Cuoco, Eliu A. Huerta, Chris Messenger, Frank Ohme
2022	B	`conf`	Multilayer Online Self-Acquired Knowledge Distillation. ICPR Maria Tzelepi, Charalampos Symeonidis, Nikos Nikolaidis, Anastasios Tefas
2022	J	`jnl`	Multisource financial sentiment analysis for detecting Bitcoin price change indications using deep learning. Neural Comput. Appl. Nikolaos Passalis, Loukia Avramelou, Solon Seficha, Avraam Tsantekidis, Stavros Doropoulos, Giorgos Makris, Anastasios Tefas
2022	—	`conf`	Normalized Post-training Quantization for Photonic Neural Networks. SSCI Manos Kirtas, Nikolaos Passalis, Athina Oikonomou, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas
2022	C	`conf`	Online Knowledge Distillation for Financial Timeseries Forecasting. INISTA Pavlos Floratos, Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
2022	A	`conf`	OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. IROS Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, Ole Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober, O. Michel, Nikos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas
2022	J	`jnl`	OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. CoRR Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, Ole Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober, O. Michel, Nikolaos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas
2022	—	`conf`	Photonic Neuromorphic Computing: Architectures, Technologies, and Training Models. OFC Miltiadis Moralis-Pegios, Angelina Totovic, Apostolos Tsakyridis, George Giamougiannis, George Mourgias-Alexandris, George Dabos, Nikolaos Passalis, Manos Kirtas, Anastasios Tefas, Nikos Pleros
2022	J	`jnl`	Predicting on-street parking violation rate using deep residual neural networks. Pattern Recognit. Lett. Nikolaos Karantaglis, Nikolaos Passalis, Anastasios Tefas
2022	J	`jnl`	Probabilistic online self-distillation. Neurocomputing Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas
2022	J	`jnl`	Quantization-aware training for low precision photonic neural networks. Neural Networks Manos Kirtas, Athina Oikonomou, Nikolaos Passalis, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas
2022	—	`conf`	Real-time synthetic-to-real human detection for robotics applications. IISA Maria Tzelepi, Charalampos Symeonidis, Nikos Nikolaidis, Anastasios Tefas
2022	Misc	`conf`	Sentiment-Aware Distillation for Bitcoin Trend Forecasting Under Partial Observability. ICASSP Georgios Panagiotatos, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas
2022	J	`jnl`	VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images. CoRR Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
2022	J	`jnl`	WDM equipped universal linear optics for programmable neuromorphic photonic processors. Neuromorph. Comput. Eng. Angelina Totovic, Christos Pappas, Manos Kirtas, Apostolos Tsakyridis, George Giamougiannis, Nikolaos Passalis, Miltiadis Moralis-Pegios, Anastasios Tefas, Nikos Pleros
2021	—	`conf`	25GMAC/sec/axon photonic neural networks with 7GHz bandwidth optics through channel response-aware training. ECOC George Mourgias-Alexandris, Apostolos Tsakyridis, Nikolaos Passalis, Manos Kirtas, Anastasios Tefas, Teerapat Rutirawut, Frederic Y. Gardes, Nikos Pleros, Miltiadis Moralis-Pegios
2021	—	`conf`	A Silicon Photonic Coherent Neuron with 10GMAC/sec processing line-rate. OFC George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Stelios Simos, George Dabos, Nikos Passalis, Manos Kirtas, Teerapat Rutirawut, Frederic Y. Gardes, Anastasios Tefas, Nikos Pleros
2021	—	`conf`	Adaptive Inference for Face Recognition leveraging Deep Metric Learning-enabled Early Exits. EUSIPCO Nikolaos Passalis, Anastasios Tefas
2021	J	`jnl`	Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling. CoRR Paraskevi Nousi, Styliani-Christina Fragkouli, Nikolaos Passalis, Panagiotis Iosif, Theocharis Apostolatos, George Pappas, Nikolaos Stergioulas, Anastasios Tefas
2021	—	`conf`	Compute with Light: Architectures, Technologies and Training Models for Neuromorphic Photonic Circuits. ECOC Nikos Pleros, Miltiadis Moralis-Pegios, Angelina Totovic, George Dabos, Apostolos Tsakyridis, George Giamougiannis, George Mourgias-Alexandris, Nikos Passalis, Manos Kirtas, Anastasios Tefas
2021	J	`jnl`	Deep adaptive group-based input normalization for financial trading. Pattern Recognit. Lett. Angelos Nalmpantis, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas
2021	J	`jnl`	Deep supervised hashing using quadratic spherical mutual information for efficient image retrieval. Signal Process. Image Commun. Nikolaos Passalis, Anastasios Tefas
2021	J	`jnl`	Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning. Neural Networks Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
2021	C	`conf`	Efficient Realistic Data Generation Framework Leveraging Deep Learning-Based Human Digitization. EANN Charalampos Symeonidis, Paraskevi Nousi, Pavlos Tosidis, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, Nikos Nikolaidis
2021	J	`jnl`	Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization. CoRR Charalampos Symeonidis, Paraskevi Nousi, Pavlos Tosidis, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, Nikos Nikolaidis
2021	A	`conf`	Efficient Training of Lightweight Neural Networks Using Online Self-Acquired Knowledge Distillation. ICME Maria Tzelepi, Anastasios Tefas
2021	J	`jnl`	Efficient training of lightweight neural networks using Online Self-Acquired Knowledge Distillation. CoRR Maria Tzelepi, Anastasios Tefas
2021	J	`jnl`	Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization. J. Signal Process. Syst. Nikolaos Passalis, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis, Anastasios Tefas
2021	J	`jnl`	Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety. IEEE Trans. Emerg. Top. Comput. Intell. Maria Tzelepi, Anastasios Tefas
2021	J	`jnl`	Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices. IEEE Trans. Neural Networks Learn. Syst. Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
2021	—	`conf`	Improving Deep Reinforcement Learning for Financial Trading Using Deep Adaptive Group-Based Normalization. MLSP Angelos Nalmpantis, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas
2021	J	`jnl`	Improving knowledge distillation using unified ensembles of specialized teachers. Pattern Recognit. Lett. Adamantios Zaras, Nikolaos Passalis, Anastasios Tefas
2021	—	`conf`	Introducing K-Anonymity Principles to Adversarial Attacks for Privacy Protection in Image Classification Problems. MLSP Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas
2021	Misc	`conf`	Learning Sentiment-Aware Trading Strategies for Bitcoin Leveraging Deep Learning-Based Financial News Analysis. AIAI Nikolaos Passalis, Solon Seficha, Avraam Tsantekidis, Anastasios Tefas
2021	J	`jnl`	Occlusion detection and drift-avoidance framework for 2D visual object tracking. Signal Process. Image Commun. Iason Karakostas, Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas
2021	J	`jnl`	Online Subclass Knowledge Distillation. Expert Syst. Appl. Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas
2021	J	`jnl`	Price Trailing for Financial Trading Using Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Avraam Tsantekidis, Nikolaos Passalis, Anastasia-Sotiria Toufa, Konstantinos Saitas Zarkias, Stergios Chairistanidis, Anastasios Tefas
2021	J	`jnl`	Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning. IEEE Trans. Neural Networks Learn. Syst. Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas
2021	B	`conf`	Pseudo-Active Vision For Improving Deep Visual Perception Through Neural Sensory Refinement. ICIP Nikolaos Passalis, Anastasios Tefas
2021	J	`jnl`	Quadratic mutual information regularization in real-time deep CNN models. CoRR Maria Tzelepi, Anastasios Tefas
2021	—	`conf`	Semantic Scene Segmentation for Robotics Applications. IISA Maria Tzelepi, Anastasios Tefas
2021	J	`jnl`	Semantic Scene Segmentation for Robotics Applications. CoRR Maria Tzelepi, Anastasios Tefas
2021	—	`conf`	Silicon-integrated coherent neurons with 32GMAC/sec/axon compute line-rates using EAM-based input and weighting cells. ECOC 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
2021	J	`jnl`	Training Deep Photonic Convolutional Neural Networks With Sinusoidal Activations. IEEE Trans. Emerg. Top. Comput. Intell. Nikolaos Passalis, George Mourgias-Alexandris, Apostolos Tsakyridis, Nikos Pleros, Anastasios Tefas
2021	J	`jnl`	Transferring trading strategy knowledge to deep learning models. Knowl. Inf. Syst. Avraam Tsantekidis, Anastasios Tefas
2021	—	`conf`	Vision-based UAV Safe Landing exploiting Lightweight Deep Neural Networks. ICIGP Charalampos Symeonidis, Efstratios Kakaletsis, Ioannis Mademlis, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas
2020	B	`conf`	A modified Single-Shot multibox Detector for beyond Real-Time Object Detection. ICPR Georgios Orfanidis, Konstantinos Ioannidis, Stefanos Vrochidis, Anastasios Tefas, Ioannis Kompatsiaris
2020	C	`conf`	Adaptive Initialization for Recurrent Photonic Networks using Sigmoidal Activations. ISCAS Nikolaos Passalis, George Mourgias-Alexandris, Nikos Pleros, Anastasios Tefas
2020	Misc	`conf`	Adaptive Normalization for Forecasting Limit Order Book Data Using Convolutional Neural Networks. ICASSP Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2020	—	`conf`	All-Optical Recurrent Neural Network with Sigmoid Activation Function. OFC George Mourgias-Alexandris, George Dabos, Nikolaos Passalis, Anastasios Tefas, Angelina Totovic, Nikos Pleros
2020	J	`jnl`	Attention-based Neural Bag-of-Features Learning for Sequence Data. CoRR Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Bag of Color Features for Color Constancy. IEEE Trans. Image Process. Firas Laakom, Nikolaos Passalis, Jenni Raitoharju, Jarno Nikkanen, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj
2020	J	`jnl`	Class-specific discriminant regularization in real-time deep CNN models for binary classification problems. Neural Process. Lett. Maria Tzelepi, Anastasios Tefas
2020	J	`jnl`	Continuous drone control using deep reinforcement learning for frontal view person shooting. Neural Comput. Appl. Nikolaos Passalis, Anastasios Tefas
2020	J	`jnl`	Deep Adaptive Input Normalization for Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2020	—	`conf`	Deep Hashing Regularization Towards Hamming Space Retrieval. SETN Christos Nasioutzikis, Maria Tzelepi, Anastasios Tefas
2020	J	`jnl`	Deep Learning for Visual Content Analysis. Signal Process. Image Commun. Alexandros Iosifidis, Anastasios Tefas
2020	J	`jnl`	Deep autoencoders for attribute preserving face de-identification. Signal Process. Image Commun. Paraskevi Nousi, Sotirios Papadopoulos, Anastasios Tefas, Ioannis Pitas
2020	—	`conf`	Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics. AIAI (2) Manos Kirtas, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas
2020	J	`jnl`	Dense convolutional feature histograms for robust visual object tracking. Image Vis. Comput. Paraskevi Nousi, Anastasios Tefas, Ioannis Pitas
2020	C	`conf`	Efficient Adaptive Inference Leveraging Bag-of-Features-based Early Exits. MMSP Nikolaos Passalis, Jenni Raitoharju, Moncef Gabbouj, Anastasios Tefas
2020	B	`conf`	Efficient Online Subclass Knowledge Distillation for Image Classification. ICPR Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas
2020	J	`jnl`	Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits. Pattern Recognit. Nikolaos Passalis, Jenni Raitoharju, Anastasios Tefas, Moncef Gabbouj
2020	—	`conf`	Few-shot Image Recognition for UAV Sports Cinematography. CVPR Workshops Emmanouil Patsiouras, Anastasios Tefas, Ioannis Pitas
2020	—	`conf`	Global Adaptive Input Normalization for Short-Term Electric Load Forecasting. SSCI Nikolaos Passalis, Anastasios Tefas
2020	A*	`conf`	Heterogeneous Knowledge Distillation Using Information Flow Modeling. CVPR Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas
2020	J	`jnl`	Heterogeneous Knowledge Distillation using Information Flow Modeling. CoRR Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas
2020	—	`conf`	Human Action Recognition Using Recurrent Bag-of-Features Pooling. ICPR Workshops (5) Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
2020	—	`conf`	Improving Deep Reinforcement Learning for Financial Trading Using Neural Network Distillation. MLSP Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
2020	—	`conf`	Improving Universal Style Transfer using Sub-style Decomposition. SETN Paraskevas Pegios, Nikolaos Passalis, Anastasios Tefas
2020	B	`conf`	Improving Visual Question Answering using Active Perception on Static Images. ICPR Theodoros Bozinis, Nikolaos Passalis, Anastasios Tefas
2020	J	`jnl`	Improving the performance of lightweight CNNs for binary classification using quadratic mutual information regularization. Pattern Recognit. Maria Tzelepi, Anastasios Tefas
2020	J	`jnl`	Initializing photonic feed-forward neural networks using auxiliary tasks. Neural Networks Nikolaos Passalis, George Mourgias-Alexandris, Nikos Pleros, Anastasios Tefas
2020	J	`jnl`	K-Anonymity inspired adversarial attack and multiple one-class classification defense. Neural Networks Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas
2020	C	`conf`	Leveraging Active Perception for Improving Embedding-based Deep Face Recognition. MMSP Nikolaos Passalis, Anastasios Tefas
2020	A	`conf`	Leveraging Deep Reinforcement Learning For Active Shooting Under Open-World Setting. ICME A. Tzimas, Nikolaos Passalis, Anastasios Tefas
2020	B	`conf`	Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval. ICPR Nikolaos Passalis, Anastasios Tefas
2020	C	`conf`	Multilayer Probabilistic Knowledge Transfer for Learning Image Representations. ISCAS Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas
2020	—	`conf`	Quadratic Mutual Information Regularization in Real-Time Deep CNN Models. MLSP Maria Tzelepi, Anastasios Tefas
2020	J	`jnl`	Re-identification framework for long term visual object tracking based on object detection and classification. Signal Process. Image Commun. Paraskevi Nousi, Danai Triantafyllidou, Anastasios Tefas, Ioannis Pitas
2020	J	`jnl`	Recurrent bag-of-features for visual information analysis. Pattern Recognit. Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
2020	—	`conf`	Robust Hypersphere-based Weight Imprinting for Few-Shot Learning. EUSIPCO Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
2020	J	`jnl`	Self-supervised autoencoders for clustering and classification. Evol. Syst. Paraskevi Nousi, Anastasios Tefas
2020	J	`jnl`	Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data. IEEE Trans. Emerg. Top. Comput. Intell. Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data. Pattern Recognit. Lett. Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2020	—	`conf`	Time-series classification with an all-optical recurrent neuron. ECOC George Mourgias-Alexandris, Nikolaos Passalis, George Dabos, Angelina Totovic, Anastasios Tefas, Nikos Pleros
2020	—	`conf`	Training Noise-Resilient Recurrent Photonic Networks for Financial Time Series Analysis. EUSIPCO Nikolaos Passalis, Manos Kirtas, George Mourgias-Alexandris, George Dabos, Nikos Pleros, Anastasios Tefas
2020	J	`jnl`	Using Deep Learning for price prediction by exploiting stationary limit order book features. Appl. Soft Comput. Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Variance-preserving deep metric learning for content-based image retrieval. Pattern Recognit. Lett. Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
2020	—	`conf`	Visual Object Detection For Autonomous UAV Cinematography. NLDL Fotini Patrona, Paraskevi Nousi, Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas
2019	B	`conf`	Adaptive Inference Using Hierarchical Convolutional Bag-of-Features for Low-Power Embedded Platforms. ICIP Nikolaos Passalis, Jenni Raitoharju, Anastasios Tefas, Moncef Gabbouj
2019	J	`jnl`	Autonomous UAV Cinematography: A Tutorial and a Formalized Shot-Type Taxonomy. ACM Comput. Surv. Ioannis Mademlis, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas, Tilman Wagner, Alberto Messina
2019	J	`jnl`	Autonomous Unmanned Aerial Vehicles Filming In Dynamic Unstructured Outdoor Environments [Applications Corner]. IEEE Signal Process. Mag. Ioannis Mademlis, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas, Tilman Wagner, Alberto Messina
2019	J	`jnl`	Bag of Color Features For Color Constancy. CoRR Firas Laakom, Nikolaos Passalis, Jenni Raitoharju, Jarno Nikkanen, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj
2019	B	`conf`	Class-Based Variational Representation Learning For Robust Image Retrieval. ICIP Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj
2019	J	`jnl`	Complete vector quantization of feedforward neural networks. Neurocomputing Nikolaos Floropoulos, Anastasios Tefas
2019	B	`conf`	Computational UAV Cinematography for Intelligent Shooting Based on Semantic Visual Analysis. ICIP Fotini Patrona, Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas
2019	—	`conf`	Curriculum-based Teacher Ensemble for Robust Neural Network Distillation. EUSIPCO Georgios Panagiotatos, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
2019	J	`jnl`	Deep Adaptive Input Normalization for Price Forecasting using Limit Order Book Data. CoRR Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2019	Misc	`conf`	Deep Convolutional Feature Histograms for Visual Object Tracking. ICASSP Paraskevi Nousi, Anastasios Tefas, Ioannis Pitas
2019	—	`ch.`	Deep Learning Analytics. Machine Learning Paradigms Nikolaos Passalis, Anastasios Tefas
2019	Misc	`conf`	Deep Reinforcement Learning for Financial Trading Using Price Trailing. ICASSP Konstantinos Saitas Zarkias, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas
2019	J	`jnl`	Deep Supervised Hashing leveraging Quadratic Spherical Mutual Information for Content-based Image Retrieval. CoRR Nikolaos Passalis, Anastasios Tefas
2019	Misc	`conf`	Deep Temporal Logistic Bag-of-features for Forecasting High Frequency Limit Order Book Time Series. ICASSP Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2019	J	`jnl`	Deep reinforcement learning for controlling frontal person close-up shooting. Neurocomputing Nikolaos Passalis, Anastasios Tefas
2019	B	`conf`	Discriminant Analysis Regularization in Lightweight Deep CNN Models. ICIP Maria Tzelepi, Anastasios Tefas
2019	J	`jnl`	Discriminative clustering using regularized subspace learning. Pattern Recognit. Nikolaos Passalis, Anastasios Tefas
2019	—	`conf`	Embedded UAV Real-Time Visual Object Detection and Tracking. RCAR Paraskevi Nousi, Ioannis Mademlis, Iason Karakostas, Anastasios Tefas, Ioannis Pitas
2019	—	`conf`	Experimental Demonstration of an Optical Neuron with a Logistic Sigmoid Activation Function. OFC George Mourgias-Alexandris, Apostolos Tsakyridis, Nikolaos Passalis, Anastasios Tefas, Nikos Pleros
2019	J	`jnl`	Exploiting multiplex data relationships in Support Vector Machines. Pattern Recognit. Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas
2019	—	`conf`	Face Verification and Recognition for Digital Forensics and Information Security. ISDFS Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fabio Valerio Massoli, Nikolaos Passalis, Anastasios Tefas, Alessandro Trivilini, Claudio Vairo
2019	—	`conf`	Greedy Salient Dictionary Learning for Activity Video Summarization. MMM (1) Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas
2019	—	`conf`	Improving the Performance of Lightweight CNN models using Minimum Enclosing Ball Regularization. EUSIPCO Maria Tzelepi, Anastasios Tefas
2019	—	`conf`	Incremental Label Propagation on Facial Images. MLSP Efstratios Kakaletsis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2019	J	`jnl`	Interactive dimensionality reduction using similarity projections. Knowl. Based Syst. Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas
2019	B	`conf`	Joint Lightweight Object Tracking and Detection for Unmanned Vehicles. ICIP Paraskevi Nousi, Danai Triantafyllidou, Anastasios Tefas, Ioannis Pitas
2019	—	`conf`	Less Is More: Deep Learning Using Subjective Annotations For Sentiment Analysis From Social Media. MLSP Christina Tzogka, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
2019	J	`jnl`	Long-term temporal averaging for stochastic optimization of deep neural networks. Neural Comput. Appl. Nikolaos Passalis, Anastasios Tefas
2019	J	`jnl`	Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data. IEEE Access Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
2019	J	`jnl`	Neurons With Paraboloid Decision Boundaries for Improved Neural Network Classification Performance. IEEE Trans. Neural Networks Learn. Syst. Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas
2019	—	`conf`	On Detecting and Handling target occlusions in Correlation-filter-based 2D tracking. EUSIPCO Iason Karakostas, Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas
2019	—	`conf`	Semantic Map Annotation Through UAV Video Analysis Using Deep Learning Models in ROS. MMM (2) Efstratios Kakaletsis, Maria Tzelepi, Pantelis I. Kaplanoglou, Charalampos Symeonidis, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas
2019	J	`jnl`	Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data. CoRR Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2019	J	`jnl`	Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling. IEEE Trans. Neural Networks Learn. Syst. Nikolaos Passalis, Anastasios Tefas
2019	J	`jnl`	Unsupervised Knowledge Transfer Using Similarity Embeddings. IEEE Trans. Neural Networks Learn. Syst. Nikolaos Passalis, Anastasios Tefas
2019	Misc	`conf`	Variance Preserving Initialization for Training Deep Neuromorphic Photonic Networks with Sinusoidal Activations. ICASSP Nikolaos Passalis, George Mourgias-Alexandris, Apostolos Tsakyridis, Nikos Pleros, Anastasios Tefas
2019	J	`jnl`	Visual representation decoding from human brain activity using machine learning: A baseline study. Pattern Recognit. Lett. Angeliki Papadimitriou, Nikolaos Passalis, Anastasios Tefas
2018	J	`jnl`	A salient dictionary learning framework for activity video summarization via key-frame extraction. Inf. Sci. Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas
2018	B	`conf`	Accelerating Similarity-Based Discriminant Analysis Using Class-Specific Prototypes. ICIP Nikolaos Passalis, Anastasios Tefas
2018	J	`jnl`	Big Data Clustering with Kernel Int. J. Artif. Intell. Tools Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas
2018	J	`jnl`	Caricature generation utilizing the notion of anti-face. Multim. Tools Appl. Vlasis Gogousis, Anastasios Tefas
2018	—	`conf`	Computational UAV Cinematography for Intelligent A/V Shooting Based on Semantic Visual Analysis. MMSports@MM Fotini Patrona, Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas
2018	B	`conf`	Convolutional Neural Networks for Visual Information Analysis with Limited Computing Resources. ICIP Paraskevi Nousi, Emmanouil Patsiouras, Anastasios Tefas, Ioannis Pitas
2018	J	`jnl`	Decoding Generic Visual Representations From Human Brain Activity using Machine Learning. CoRR Angeliki Papadimitriou, Nikolaos Passalis, Anastasios Tefas
2018	—	`conf`	Decoding Generic Visual Representations from Human Brain Activity Using Machine Learning. ECCV Workshops (3) Angeliki Papadimitriou, Nikolaos Passalis, Anastasios Tefas
2018	—	`conf`	Deep Sparse Autoencoders for Football Match and Bet Prediction. SETN Konstantinos Tsampazis, Anastasios Tefas
2018	J	`jnl`	Deep convolutional image retrieval: A general framework. Signal Process. Image Commun. Maria Tzelepi, Anastasios Tefas
2018	J	`jnl`	Deep convolutional learning for Content Based Image Retrieval. Neurocomputing Maria Tzelepi, Anastasios Tefas
2018	—	`conf`	Deep reinforcement learning for frontal view person shooting using drones. EAIS Nikolaos Passalis, Anastasios Tefas
2018	J	`jnl`	Dimensionality Reduction Using Similarity-Induced Embeddings. IEEE Trans. Neural Networks Learn. Syst. Nikolaos Passalis, Anastasios Tefas
2018	C	`conf`	Efficient Camera Control using 2D Visual Information for Unmanned Aerial Vehicle-based Cinematography. ISCAS Nikolaos Passalis, Anastasios Tefas, Ioannis Pitas
2018	J	`jnl`	Explicit ensemble attention learning for improving visual question answering. Pattern Recognit. Lett. Vasileios Lioutas, Nikolaos Passalis, Anastasios Tefas
2018	J	`jnl`	Exploiting tf-idf in deep Convolutional Neural Networks for Content Based Image Retrieval. Multim. Tools Appl. Nikolaos Kondylidis, Maria Tzelepi, Anastasios Tefas
2018	J	`jnl`	Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining. Big Data Res. Danai Triantafyllidou, Paraskevi Nousi, Anastasios Tefas
2018	J	`jnl`	Fast constrained person identity label propagation in stereo videos using a pruned similarity matrix. Signal Process. Image Commun. Efstratios Kakaletsis, Olga Zoidi, Ioannis Tsingalis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2018	—	`conf`	Fast, Visual and Interactive Semi-supervised Dimensionality Reduction. ECCV Workshops (4) Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas
2018	—	`conf`	Fully Unsupervised Convolutional Learning for Fast Image Retrieval. SETN Maria Tzelepi, Anastasios Tefas
2018	—	`conf`	Fully Unsupervised Optimization of CNN Features Towards Content Based Image Retrieval. IVMSP Maria Tzelepi, Anastasios Tefas
2018	—	`conf`	Greedy Salient Dictionary Learning with Optimal Point Reconstruction for Activity video Summarization. MLSP Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas
2018	J	`jnl`	Information Clustering Using Manifold-Based Optimization of the Bag-of-Features Representation. IEEE Trans. Cybern. Nikolaos Passalis, Anastasios Tefas
2018	J	`jnl`	Interactive dimensionality reduction using similarity projections. CoRR Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas
2018	B	`conf`	Label Propagation on Facial Images Using Similarity and Dissimilarity Labelling Constraints. ICIP Efstratios Kakaletsis, Olga Zoidi, Ioannis Tsingalis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2018	—	`conf`	Learning Deep Representations with Probabilistic Knowledge Transfer. ECCV (11) Nikolaos Passalis, Anastasios Tefas
2018	—	`conf`	Learning Discriminative Representations for Big Data Clustering Using Similarity-Based Dimensionality Reduction. IVMSP Nikolaos Passalis, Anastasios Tefas
2018	B	`conf`	Learning Multi-Graph Regularization for SVM Classification. ICIP Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas
2018	J	`jnl`	Learning bag-of-embedded-words representations for textual information retrieval. Pattern Recognit. Nikolaos Passalis, Anastasios Tefas
2018	J	`jnl`	Learning deep spatiotemporal features for video captioning. Pattern Recognit. Lett. Eleftherios Daskalakis, Maria Tzelepi, Anastasios Tefas
2018	J	`jnl`	Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data. CoRR Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
2018	B	`conf`	Neural Network Knowledge Transfer using Unsupervised Similarity Matching. ICPR Nikolaos Passalis, Anastasios Tefas
2018	J	`jnl`	Positive and Negative Label Propagations. IEEE Trans. Circuits Syst. Video Technol. Olga Zoidi, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2018	J	`jnl`	Probabilistic Knowledge Transfer for Deep Representation Learning. CoRR Nikolaos Passalis, Anastasios Tefas
2018	J	`jnl`	PySEF: A python library for similarity-based dimensionality reduction. Knowl. Based Syst. Nikolaos Passalis, Anastasios Tefas
2018	—	`conf`	Recurrent Attention for Deep Neural Object Detection. SETN Georgios Symeonidis, Anastasios Tefas
2018	Misc	`conf`	Regularized Svd-Based Video Frame Saliency for Unsupervised Activity Video Summarization. ICASSP Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas
2018	J	`jnl`	Semi-supervised subclass support vector data description for image and video classification. Neurocomputing Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2018	J	`jnl`	Style Decomposition for Improved Neural Style Transfer. CoRR Paraskevas Pegios, Nikolaos Passalis, Anastasios Tefas
2018	J	`jnl`	Using Deep Learning for price prediction by exploiting stationary limit order book features. CoRR Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2018	C	`conf`	Visual Question Answering using Explicit Visual Attention. ISCAS Vasileios Lioutas, Nikolaos Passalis, Anastasios Tefas
2017	J	`jnl`	Approximate kernel extreme learning machine for large scale data classification. Neurocomputing Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2017	J	`jnl`	Big Media Data Analysis. Signal Process. Image Commun. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, Moncef Gabbouj
2017	—	`conf`	Concept detection and face pose estimation using lightweight convolutional neural networks for steering drone video shooting. EUSIPCO Nikolaos Passalis, Anastasios Tefas
2017	J	`jnl`	De-identifying facial images using singular value decomposition and projections. Multim. Tools Appl. Panteleimon Chriskos, Olga Zoidi, Anastasios Tefas, Ioannis Pitas
2017	J	`jnl`	Deep learning algorithms for discriminant autoencoding. Neurocomputing Paraskevi Nousi, Anastasios Tefas
2017	J	`jnl`	Dimensionality Reduction using Similarity-induced Embeddings. CoRR Nikolaos Passalis, Anastasios Tefas
2017	C	`conf`	Discriminatively Trained Autoencoders for Fast and Accurate Face Recognition. EANN Paraskevi Nousi, Anastasios Tefas
2017	—	`conf`	Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks. CBI (1) Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2017	—	`conf`	Human crowd detection for drone flight safety using convolutional neural networks. EUSIPCO Maria Tzelepi, Anastasios Tefas
2017	C	`conf`	Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization. EANN Nikolaos Passalis, Anastasios Tefas
2017	A*	`conf`	Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks. ICCV Nikolaos Passalis, Anastasios Tefas
2017	J	`jnl`	Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks. CoRR Nikolaos Passalis, Anastasios Tefas
2017	J	`jnl`	Learning Neural Bag-of-Features for Large-Scale Image Retrieval. IEEE Trans. Syst. Man Cybern. Syst. Nikolaos Passalis, Anastasios Tefas
2017	—	`conf`	Lightweight two-stream convolutional face detection. EUSIPCO Danai Triantafyllidou, Paraskevi Nousi, Anastasios Tefas
2017	J	`jnl`	Multimodal speaker clustering in full length movies. Multim. Tools Appl. Ioannis Kapsouras, Anastasios Tefas, Nikos Nikolaidis, Geoffroy Peeters, Laurent Benaroya, Ioannis Pitas
2017	J	`jnl`	Neural Bag-of-Features learning. Pattern Recognit. Nikolaos Passalis, Anastasios Tefas
2017	J	`jnl`	One-Class Classification Based on Extreme Learning and Geometric Class Information. Neural Process. Lett. Alexandros Iosifidis, Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas
2017	B	`conf`	Summarization of human activity videos using a salient dictionary. ICIP Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas
2017	Misc	`conf`	Summarization of human activity videos via low-rank approximation. ICASSP Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2017	—	`conf`	Time-series classification using neural Bag-of-Features. EUSIPCO Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2017	—	`conf`	Using deep learning to detect price change indications in financial markets. EUSIPCO Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2016	—	`conf`	A Bag of Words approach for recognition of Greek folk dances. SETN Eftychia Fotiadou, Ioannis Kapsouras, Nikos Nikolaidis, Anastasios Tefas
2016	—	`conf`	A Fast Deep Convolutional Neural Network for Face Detection in Big Visual Data. INNS Conference on Big Data Danai Triantafyllidou, Anastasios Tefas
2016	—	`conf`	A comparative study of representations for folk dances recognition in video. EUSIPCO Eftychia Fotiadou, Nikos Nikolaidis, Anastasios Tefas
2016	—	`conf`	A review of approximate methods for kernel-based big media data analysis. EUSIPCO Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, Moncef Gabbouj
2016	B	`conf`	Bag of Embedded Words learning for text retrieval. ICPR Nikolaos Passalis, Anastasios Tefas
2016	J	`jnl`	Big Data Analysis for Media Production. Proc. IEEE Josep Blat, Alun Evans, Hansung Kim, Evren Imre, Lukás Polok, Viorela Ila, Nikos Nikolaidis, Pavel Zemcík, Anastasios Tefas, Pavel Smrz, Adrian Hilton, Ioannis Pitas
2016	—	`conf`	Compact Video Description and Representation for Automated Summarization of Human Activities. INNS Conference on Big Data Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2016	—	`conf`	Efficient MapReduce Kernel k-Means for Big Data Clustering. SETN Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas
2016	—	`conf`	Enhanced similarities for a music Recommender System. DMIAF Vasileios Gavriilidis, Anastasios Tefas, Constantine Kotropoulos, Nikos Nikolaidis
2016	J	`jnl`	Entropy Optimized Feature-Based Bag-of-Words Representation for Information Retrieval. IEEE Trans. Knowl. Data Eng. Nikolaos Passalis, Anastasios Tefas
2016	B	`conf`	Exploiting local and global geometric data relationships in Support Vector Data Description. ICPR Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas
2016	J	`jnl`	Exploiting stereoscopic disparity for augmenting human activity recognition performance. Multim. Tools Appl. Ioannis Mademlis, Alexandros Iosifidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2016	B	`conf`	Exploiting supervised learning for finetuning deep CNNs in content based image retrieval. ICPR Maria Tzelepi, Anastasios Tefas
2016	B	`conf`	Face detection based on deep convolutional neural networks exploiting incremental facial part learning. ICPR Danai Triantafyllidou, Anastasios Tefas
2016	—	`conf`	Fast label propagation on facial images using a pruned similarity matrix. DMIAF Efstratios Kakaletsis, Olga Zoidi, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2016	J	`jnl`	Graph Embedded Extreme Learning Machine. IEEE Trans. Cybern. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2016	J	`jnl`	Graph Embedded One-Class Classifiers for media data classification. Pattern Recognit. Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2016	—	`conf`	Kernel subclass support vector description for face and human action recognition. SPLINE Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2016	C	`conf`	Laplacian one class extreme learning machines for human action recognition. MMSP Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2016	C	`conf`	Movie shot selection preserving narrative properties. MMSP Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2016	B	`conf`	Multi-view semantic temporal video segmentation. ICIP Thomas Theodoridis, Anastasios Tefas, Ioannis Pitas
2016	J	`jnl`	Multimodal Stereoscopic Movie Summarization Conforming to Narrative Characteristics. IEEE Trans. Image Process. Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2016	B	`conf`	One class classification applied in facial image analysis. ICIP Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2016	—	`conf`	Relevance Feedback in Deep Convolutional Neural Networks for Content Based Image Retrieval. SETN Maria Tzelepi, Anastasios Tefas
2016	—	`conf`	Spatial Bag of Features Learning for Large Scale Face Image Retrieval. INNS Conference on Big Data Nikolaos Passalis, Anastasios Tefas
2016	—	`conf`	Spectral Clustering using Optimized Bag-of-Features. SETN Nikolaos Passalis, Anastasios Tefas
2016	J	`jnl`	Visual Voice Activity Detection in the Wild. IEEE Trans. Multim. Foteini Patrona, Alexandros Iosifidis, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas
2015	J	`jnl`	A distributed framework for trimmed Kernel k-Means clustering. Pattern Recognit. Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas
2015	J	`jnl`	A novel dimensionality reduction technique based on kernel optimization through graph embedding. Signal Image Video Process. Nicholas Vretos, Anastasios Tefas, Ioannis Pitas
2015	J	`jnl`	Class-Specific Reference Discriminant Analysis With Application in Human Behavior Analysis. IEEE Trans. Hum. Mach. Syst. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	—	`conf`	Class-specific nonlinear subspace learning based on optimized class representation. EUSIPCO Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	B	`conf`	De-identifying facial images using projections on hyperspheres. FG Panteleimon Chriskos, Olga Zoidi, Anastasios Tefas, Ioannis Pitas
2015	J	`jnl`	Distance-based human action recognition using optimized class representations. Neurocomputing Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	—	`conf`	Distributed, MapReduce-Based Nearest Neighbor and E-Ball Kernel k-Means. SSCI Nikolaos Tsapanos, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2015	J	`jnl`	DropELM: Fast neural network regularization with Dropout and DropConnect. Neurocomputing Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	Misc	`conf`	Enhancing ELM-based Facial Image Classification by Exploiting Multiple Facial Views. ICCS Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	Misc	`conf`	Enhancing class discrimination in Kernel Discriminant Analysis. ICASSP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	Misc	`conf`	Exploiting subclass information in one-class support vector machine for video summarization. ICASSP Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	—	`conf`	Exploiting symmetry in two-dimensional clustering-based discriminant analysis for face recognition. EUSIPCO Konstantinos Papachristou, Anastasios Tefas, Ioannis Pitas
2015	B	`conf`	Facial image analysis based on two-dimensional linear discriminant analysis exploiting symmetry. ICIP Konstantinos Papachristou, Anastasios Tefas, Ioannis Pitas
2015	J	`jnl`	Facial image clustering in stereoscopic videos using double spectral analysis. Signal Process. Image Commun. Georgios Orfanidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2015	Misc	`conf`	Fast Kernel Matrix Computation for Big Data Clustering. ICCS Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Alexandros Iosifidis, Ioannis Pitas
2015	J	`jnl`	Graph Embedded Nonparametric Mutual Information for Supervised Dimensionality Reduction. IEEE Trans. Neural Networks Learn. Syst. Dimitrios Bouzas, Nikolaos Arvanitopoulos, Anastasios Tefas
2015	—	`conf`	Graph Embedding Exploiting Subclasses. SSCI Anastasios Maronidis, Anastasios Tefas, Ioannis Pitas
2015	J	`jnl`	Human Action Recognition Based on Multi-View Regularized Extreme Learning Machine. Int. J. Artif. Intell. Tools Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	—	`conf`	IMPART: Big media data processing and analysis for film production. ICME Workshops Josep Blat, Alun Evans, Javi Agenjo, Hansung Kim, Evren Imre, Adrian Hilton, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas, Lukás Polok, Pavel Smrz, Pavel Zemcík
2015	B	`conf`	Kernel matrix trimming for improved Kernel K-means clustering. ICIP Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas
2015	—	`conf`	Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble. TrustCom/BigDataSE/ISPA (2) Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	B	`conf`	Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning Machine. ICIP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	B	`conf`	Merging linear discriminant analysis with Bag of Words model for human action recognition. ICIP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	—	`conf`	Multi-modal label propagation based on a higher order similarity matrix. MLSP Olga Zoidi, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas
2015	—	`conf`	Multimodal Speaker Diarization Utilizing Face Clustering Information. ICIG (2) Ioannis Kapsouras, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2015	—	`conf`	Nearest Class Vector Classification for Large-Scale Learning Problems. TrustCom/BigDataSE/ISPA (2) Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	J	`jnl`	On the kernel Extreme Learning Machine classifier. Pattern Recognit. Lett. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	—	`conf`	Regularized Extreme Learning Machine for Large-scale Media Content Analysis. INNS Conference on Big Data Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	J	`jnl`	Sparse extreme learning machine classifier exploiting intrinsic graphs. Pattern Recognit. Lett. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	J	`jnl`	Spectral clustering and semi-supervised learning using evolving similarity graphs. Appl. Soft Comput. Christina Chrysouli, Anastasios Tefas
2015	J	`jnl`	Subclass Graph Embedding and a Marginal Fisher Analysis paradigm. Pattern Recognit. Anastasios Maronidis, Anastasios Tefas, Ioannis Pitas
2015	—	`conf`	Subclass Marginal Fisher Analysis. SSCI Anastasios Maronidis, Anastasios Tefas, Ioannis Pitas
2015	J	`jnl`	The MOBISERV-AIIA Eating and Drinking multi-view database for vision-based assisted living. J. Inf. Hiding Multim. Signal Process. Alexandros Iosifidis, Ermioni Marami, Anastasios Tefas, Ioannis Pitas
2015	B	`conf`	Visual voice activity detection based on spatiotemporal information and bag of words. ICIP Foteini Patrona, Alexandros Iosifidis, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas
2014	—	`conf`	Activity Recognition for Traditional Dances Using Dimensionality Reduction. SETN Vasileios Gavriilidis, Anastasios Tefas
2014	—	`conf`	Computational Intelligence Approaches for Digital Media Analysis and Description. ECC (2) Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	—	`conf`	De-identifying facial images using singular value decomposition. MIPRO Panteleimon Chriskos, Olga Zoidi, Anastasios Tefas, Ioannis Pitas
2014	J	`jnl`	Discriminant Bag of Words based representation for human action recognition. Pattern Recognit. Lett. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	—	`conf`	Evolution of Graphs for Unsupervised Learning. IJCCI (Selected Papers) Christina Chrysouli, Anastasios Tefas
2014	—	`conf`	Exploiting Local Class Information in Extreme Learning Machine. IJCCI (NCTA) Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	C	`conf`	Facial image clustering in stereo videos using local binary patterns and double spectral analysis. CIDM Georgios Orfanidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2014	—	`conf`	Graph-based Kernel Representation of Videos for Traditional Dance Recognition. IJCCI (NCTA) Christina Chrysouli, Vasileios Gavriilidis, Anastasios Tefas
2014	B	`conf`	Human action recognition based on bag of features and multi-view neural networks. ICIP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	—	`conf`	Human action recognition in stereoscopic videos based on bag of features and disparity pyramids. EUSIPCO Alexandros Iosifidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2014	—	`conf`	Iterative Label Propagation on facial images. EUSIPCO Olga Zoidi, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2014	J	`jnl`	Kernel Reference Discriminant Analysis. Pattern Recognit. Lett. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	B	`conf`	Laplacian Support Vector Analysis for Subspace Discriminative Learning. ICPR Nikolaos Arvanitopoulos, Dimitrios Bouzas, Anastasios Tefas
2014	—	`conf`	Large graph clustering using DCT-based graph clustering. CIBD Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas
2014	J	`jnl`	Maximum Margin Projection Subspace Learning for Visual Data Analysis. IEEE Trans. Image Process. Symeon Nikitidis, Anastasios Tefas, Ioannis Pitas
2014	Misc	`conf`	Minimum Variance Extreme Learning Machine for human action recognition. ICASSP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	—	`conf`	Multi-view Regularized Extreme Learning Machine for Human Action Recognition. SETN Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	J	`jnl`	Person Identity Label Propagation in Stereo Videos. IEEE Trans. Multim. Olga Zoidi, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2014	—	`conf`	Person de-identification in activity videos. MIPRO Marina Ivasic-Kos, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	J	`jnl`	Projected Gradients for Subclass Discriminant Nonnegative Subspace Learning. IEEE Trans. Cybern. Symeon Nikitidis, Anastasios Tefas, Ioannis Pitas
2014	B	`conf`	Random Walk Kernel Applications to Classification Using Support Vector Machines. ICPR Vasileios Gavriilidis, Anastasios Tefas
2014	J	`jnl`	Regularized extreme learning machine for multi-view semi-supervised action recognition. Neurocomputing Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	B	`conf`	Semi-supervised Classification of Human Actions Based on Neural Networks. ICPR Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	C	`conf`	Shot type characterization in 2D and 3D video content. MMSP Ioannis Tsingalis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2014	—	`conf`	Single-Hidden Layer Feedforward Neual Network Training Using Class Geometric Information. IJCCI (Selected Papers) Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	—	`conf`	Spectral Clustering Using Evolving Similarity Graphs. IJCCI (ECTA) Christina Chrysouli, Anastasios Tefas
2014	J	`jnl`	Stereo object tracking with fusion of texture, color and disparity information. Signal Process. Image Commun. Olga Zoidi, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas
2014	—	`conf`	Stereoscopic video description for human action recognition. CIMSIVP Ioannis Mademlis, Alexandros Iosifidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2014	—	`conf`	Stereoscopic video shot classification based on Weighted Linear Discriminant Analysis. MLSP Konstantinos Papachristou, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2014	B	`conf`	Stereoscopic video shot clustering into semantic concepts based on visual and disparity information. ICIP Konstantinos Papachristou, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2014	—	`conf`	Subspace Learning with Enriched Databases Using Symmetry. ECC (1) Konstantinos Papachristou, Anastasios Tefas, Ioannis Pitas
2014	J	`jnl`	Symmetric Subspace Learning for Image Analysis. IEEE Trans. Image Process. Konstantinos Papachristou, Anastasios Tefas, Ioannis Pitas
2014	—	`conf`	Video summarization based on Subclass Support Vector Data Description. CIES Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	—	`conf`	Visual Information Analysis for Big-Data Using Multi-core Technologies. ECC (1) Nikolaos Mpountouropoulos, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2013	B	`conf`	Active classification for human action recognition. ICIP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	—	`conf`	Direct Multi-label Linear Discriminant Analysis. EANN (1) Maria Oikonomou, Anastasios Tefas
2013	—	`conf`	Dynamic action classification based on iterative data selection and Feedforward Neural networks. EUSIPCO Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	J	`jnl`	Dynamic action recognition based on dynemes and Extreme Learning Machine. Pattern Recognit. Lett. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	—	`conf`	Exploiting discriminant and SVM constraints in NMF. EUSIPCO Olga Zoidi, Anastasios Tefas, Ioannis Pitas
2013	B	`conf`	Exploiting the SVM constraints in NMF with application in eating and drinking activity recognition. ICIP Olga Zoidi, Anastasios Tefas, Ioannis Pitas
2013	—	`conf`	Feature Comparison and Feature Fusion for Traditional Dances Recognition. EANN (1) Ioannis Kapsouras, Stylianos Karanikolos, Nikolaos Nikolaidis, Anastasios Tefas
2013	—	`conf`	Folk dance recognition using a bag of words approach and ISA/STIP features. BCI Ioannis Kapsouras, Stylianos Karanikolos, Nikolaos Nikolaidis, Anastasios Tefas
2013	J	`jnl`	Learning sparse representations for view-independent human action recognition based on fuzzy distances. Neurocomputing Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	—	`conf`	Maximum Margin Discriminant Projections for facial expression recognition. EUSIPCO Symeon Nikitidis, Anastasios Tefas, Ioannis Pitas
2013	J	`jnl`	Minimum Class Variance Extreme Learning Machine for Human Action Recognition. IEEE Trans. Circuits Syst. Video Technol. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	—	`conf`	Multi-view Human Action Recognition: A Survey. IIH-MSP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	J	`jnl`	Multi-view action recognition based on action volumes, fuzzy distances and cluster discriminant analysis. Signal Process. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	J	`jnl`	Multidimensional Sequence Classification Based on Fuzzy Distances and Discriminant Analysis. IEEE Trans. Knowl. Data Eng. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	J	`jnl`	Multiplicative Update Rules for Concurrent Nonnegative Matrix Factorization and Maximum Margin Classification. IEEE Trans. Neural Networks Learn. Syst. Olga Zoidi, Anastasios Tefas, Ioannis Pitas
2013	—	`conf`	Neural Networks for Digital Media Analysis and Description. EANN (1) Anastasios Tefas, Alexandros Iosifidis, Ioannis Pitas
2013	J	`jnl`	On the Optimal Class Representation in Linear Discriminant Analysis. IEEE Trans. Neural Networks Learn. Syst. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	—	`conf`	Person identification from actions based on Artificial Neural Networks. CIBIM Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	—	`conf`	Person identification from actions based on dynemes and discriminant learning. IWBF Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	—	`conf`	Representative Class Vector Clustering-Based Discriminant Analysis. IIH-MSP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	J	`jnl`	Using robust dispersion estimation in support vector machines. Pattern Recognit. Nicholas Vretos, Anastasios Tefas, Ioannis Pitas
2013	—	`conf`	View-independent human action recognition based on multi-view action images and discriminant learning. IVMSP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	J	`jnl`	Visual Object Tracking Based on Local Steering Kernels and Color Histograms. IEEE Trans. Circuits Syst. Video Technol. Olga Zoidi, Anastasios Tefas, Ioannis Pitas
2012	J	`jnl`	Activity-Based Person Identification Using Fuzzy Representation and Discriminant Learning. IEEE Trans. Inf. Forensics Secur. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2012	—	`conf`	Discriminant Subspace Learning Based on Support Vectors Machines. MLDM Nikolaos Pitelis, Anastasios Tefas
2012	B	`conf`	Discriminant action representation for view-invariant person identification. ICIP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2012	Misc	`conf`	Eating and drinking activity recognition based on discriminant analysis of fuzzy distances and activity volumes. ICASSP Alexandros Iosifidis, Ermioni Marami, Anastasios Tefas, Ioannis Pitas
2012	—	`conf`	Evolutionary Optimization of a Neural Network Controller for Car Racing Simulation. SETN Damianos Galanopoulos, Christos Athanasiadis, Anastasios Tefas
2012	—	`conf`	Exploiting Quadratic Mutual Information for Discriminant Analysis. SETN Vasileios Gavriilidis, Anastasios Tefas
2012	—	`conf`	Exploiting graph embedding in support vector machines. MLSP Georgios Arvanitidis, Anastasios Tefas
2012	B	`conf`	Exploiting subclass information in Support Vector Machines. ICPR Georgios Orfanidis, Anastasios Tefas
2012	—	`conf`	Facial expression recognition with robust covariance estimation and Support Vector Machines. MLSP Nicholas Vretos, Anastasios Tefas, Ioannis Pitas
2012	—	`conf`	Multi-view human action recognition under occlusion based on Fuzzy distances and neural networks. EUSIPCO Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2012	J	`jnl`	Multi-view human movement recognition based on fuzzy distances and linear discriminant analysis. Comput. Vis. Image Underst. Alexandros Iosifidis, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas
2012	B	`conf`	Neural representation and learning for multi-view human action recognition. IJCNN Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2012	—	`conf`	Progressive neural network training for the Open Racing Car Simulator. CIG Christos Athanasiadis, Damianos Galanopoulos, Anastasios Tefas
2012	J	`jnl`	Shape matching using a binary search tree structure of weak classifiers. Pattern Recognit. Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas
2012	J	`jnl`	Subclass discriminant Nonnegative Matrix Factorization for facial image analysis. Pattern Recognit. Symeon Nikitidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2012	J	`jnl`	View-Invariant Action Recognition Based on Artificial Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2012	Misc	`conf`	Visual object tracking based on the object's salient features with application in automatic nutrition assistance. ICASSP Olga Zoidi, Anastasios Tefas, Ioannis Pitas
2012	—	`conf`	Visual object tracking via Gabor-based salient features extraction. EUSIPCO Olga Zoidi, Anastasios Tefas, Ioannis Pitas
2011	—	`conf`	Entropy-Based Iterative Face Classification. BIOID Marios Kyperountas, Anastasios Tefas, Ioannis Pitas
2011	B	`conf`	Facial expression recognition using clustering discriminant Non-negative Matrix Factorization. ICIP Symeon Nikitidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2011	—	`conf`	Human Centered Interfaces for Assisted Living. ICMMI Anastasios Tefas, Ioannis Pitas
2011	J	`jnl`	Improving subspace learning for facial expression recognition using person dependent and geometrically enriched training sets. Neural Networks Anastasios Maronidis, Dimitris Bolis, Anastasios Tefas, Ioannis Pitas
2011	—	`conf`	Learning Human Identity Using View-Invariant Multi-view Movement Representation. BIOID Alexandros Iosifidis, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas
2011	—	`conf`	Nutrition Assistance Based on Skin Color Segmentation and Support Vector Machines. ICMMI Ermioni Marami, Anastasios Tefas, Ioannis Pitas
2011	—	`conf`	Optimizing Linear Discriminant Error Correcting Output Codes Using Particle Swarm Optimization. ICANN (2) Dimitrios Bouzas, Nikolaos Arvanitopoulos, Anastasios Tefas
2011	—	`conf`	Person specific activity recognition using fuzzy learning and Discriminant Analysis. EUSIPCO Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2011	—	`conf`	Recent advances in discriminant non-negative Matrix Factorization. ACPR Symeon Nikitidis, Anastasios Tefas, Ioannis Pitas
2011	—	`conf`	Using subclasses in discriminant non-negative subspace learning for facial expression recognition. EUSIPCO Symeon Nikitidis, Anastasios Tefas, Ioannis Pitas
2010	—	`conf`	Dynamic Shape Learning and Forgetting. ICANN (3) Nikolaos Tsapanos, Anastasios Tefas, Ioannis Pitas
2010	—	`conf`	Face Detection Using Particle Swarm Optimization and Support Vector Machines. SETN Ermioni Marami, Anastasios Tefas
2010	—	`conf`	Frontal View Recognition Using Spectral Clustering and Subspace Learning Methods. ICANN (1) Anastasios Maronidis, Anastasios Tefas, Ioannis Pitas
2010	—	`conf`	Improving the Robustness of Subspace Learning Techniques for Facial Expression Recognition. ICANN (1) Dimitris Bolis, Anastasios Maronidis, Anastasios Tefas, Ioannis Pitas
2010	—	`ch.`	Intelligent Multimedia Analysis for Emerging Biometrics. Intelligent Multimedia Analysis for Security Applications Georgios Goudelis, Anastasios Tefas, Ioannis Pitas
2010	—	`conf`	Mutual Information Measures for Subclass Error-Correcting Output Codes Classification. SETN Nikolaos Arvanitopoulos, Dimitrios Bouzas, Anastasios Tefas
2010	—	`conf`	Neural Networks Training for Weapon Selection in First-Person Shooter Games. ICANN (3) Stelios Petrakis, Anastasios Tefas
2010	J	`jnl`	Online shape learning using binary search trees. Image Vis. Comput. Nikolaos Tsapanos, Anastasios Tefas, Ioannis Pitas
2010	B	`conf`	Optimizing subclass discriminant Error Correcting Output Codes using particle swarm optimization. IJCNN Dimitrios Bouzas, Nikolaos Arvanitopoulos, Anastasios Tefas
2010	J	`jnl`	Salient feature and reliable classifier selection for facial expression classification. Pattern Recognit. Marios Kyperountas, Anastasios Tefas, Ioannis Pitas
2010	B	`conf`	Subclass Error Correcting Output Codes Using Fisher's Linear Discriminant Ratio. ICPR Nikolaos Arvanitopoulos, Dimitrios Bouzas, Anastasios Tefas
2010	B	`conf`	Using Particle Swarm Optimization for scaling and rotation invariant face detection. IEEE Congress on Evolutionary Computation Ermioni Marami, Anastasios Tefas
2009	—	`conf`	Fusion of Movement Specific Human Identification Experts. COST 2101/2102 Conference Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas
2009	B	`conf`	Human identification from human movements. ICIP Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas
2009	C	`conf`	Pairwise facial expression classification. MMSP Marios Kyperountas, Anastasios Tefas, Ioannis Pitas
2009	—	`conf`	Using mutual information to indicate facial poses in video sequences. CIVR Georgios Goudelis, Anastasios Tefas, Ioannis Pitas
2008	—	`conf`	An Online Self-Balancing Binary Search Tree for Hierarchical Shape Matching. VISAPP (1) Nikolaos Tsapanos, Anastasios Tefas, Ioannis Pitas
2008	J	`jnl`	Automated Facial Pose Extraction From Video Sequences Based on Mutual Information. IEEE Trans. Circuits Syst. Video Technol. Georgios Goudelis, Anastasios Tefas, Ioannis Pitas
2008	J	`jnl`	Combining Fuzzy Vector Quantization With Linear Discriminant Analysis for Continuous Human Movement Recognition. IEEE Trans. Circuits Syst. Video Technol. Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas
2008	J	`jnl`	Dynamic training using multistage clustering for face recognition. Pattern Recognit. Marios Kyperountas, Anastasios Tefas, Ioannis Pitas
2008	J	`jnl`	Emerging biometric modalities: a survey. J. Multimodal User Interfaces Georgios Goudelis, Anastasios Tefas, Ioannis Pitas
2008	B	`conf`	Face recognition via adaptive discriminant clustering. ICIP Marios Kyperountas, Anastasios Tefas, Ioannis Pitas
2008	—	`conf`	Gender determination using a Support Vector Machine Variant. EUSIPCO Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas
2008	—	`conf`	Human movement recognition using fuzzy clustering and discriminant analysis. EUSIPCO Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas
2008	B	`conf`	Motivating class-specific nonlinear projections for single and multiple view face verification. ICIP Georgios Goudelis, Stefanos Zafeiriou, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2008	C	`conf`	Sparse human movement representation and recognition. MMSP Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas
2007	—	`conf`	A Novel Kernel Discriminant Analysis for Face Verification. ICIP (4) Georgios Goudelis, Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas
2007	J	`jnl`	Class-Specific Kernel-Discriminant Analysis for Face Verification. IEEE Trans. Inf. Forensics Secur. Georgios Goudelis, Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas
2007	—	`conf`	Discriminant Graph Structures for Face Verification. ICASSP (1) Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas
2007	—	`conf`	Face Verification using Locally Linear Discriminant Models. ICIP (4) Marios Kyperountas, Anastasios Tefas, Ioannis Pitas
2007	J	`jnl`	Learning Discriminant Person-Specific Facial Models Using Expandable Graphs. IEEE Trans. Inf. Forensics Secur. Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas
2007	J	`jnl`	Minimum Class Variance Support Vector Machines. IEEE Trans. Image Process. Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas
2007	J	`jnl`	The discriminant elastic graph matching algorithm applied to frontal face verification. Pattern Recognit. Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas
2007	J	`jnl`	Weighted Piecewise LDA for Solving the Small Sample Size Problem in Face Verification. IEEE Trans. Neural Networks Marios Kyperountas, Anastasios Tefas, Ioannis Pitas
2006	J	`jnl`	Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification. IEEE Trans. Neural Networks Stefanos Zafeiriou, Anastasios Tefas, Ioan Buciu, Ioannis Pitas
2005	J	`jnl`	Blind Robust Watermarking Schemes for Copyright Protection of 3D Mesh Objects. IEEE Trans. Vis. Comput. Graph. Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas
2005	—	`conf`	Class-Specific Discriminant Non-negative Matrix Factorization for Frontal Face Verification. ICAPR (2) Stefanos Zafeiriou, Anastasios Tefas, Ioan Buciu, Ioannis Pitas
2005	—	`conf`	Enhanced transform-domain correlation-based audio watermarking. ICASSP (2) Anastasios Tefas, Alexia Giannoula, Nikos Nikolaidis, Ioannis Pitas
2005	—	`conf`	Exploiting discriminant information in elastic graph matching. ICIP (3) Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas
2005	—	`conf`	Linear discriminant feature selection techniques in elastic graph matching. EUSIPCO Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas
2005	—	`conf`	Methods for improving discriminant analysis for face authentication. ICASSP (2) Marios Kyperountas, Anastasios Tefas, Ioannis Pitas
2004	B	`conf`	A blind robust watermarking scheme for copyright protection of 3d mesh models. ICIP Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas
2004	—	`conf`	Chaoticwatermark sequences for correlation-based schemes. EUSIPCO Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2003	A	`conf`	Improving the detection reliability of correlation-based watermarking techniques. ICME Alexia Giannoula, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2003	J	`jnl`	Performance analysis of correlation-based watermarking schemes employing Markov chaotic sequences. IEEE Trans. Signal Process. Anastasios Tefas, Athanasios Nikolaidis, Nikos Nikolaidis, Vassilios Solachidis, Sofia Tsekeridou, Ioannis Pitas
2003	—	`conf`	Robust multibit audio watermarking in the temporal domain. ISCAS (2) Charalampos Laftsidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2003	—	`conf`	Watermarking of 3D models using principal component analysis. ICASSP (5) Andreas Kalivas, Anastasios Tefas, Ioannis Pitas
2003	A	`conf`	Watermarking of 3D models using principal component analysis. ICME Andreas Kalivas, Anastasios Tefas, Ioannis Pitas
2002	Misc	`conf`	3D image watermarking robust to geometric distortions. ICASSP Anastasios Tefas, Giorgos Louizis, Ioannis Pitas
2002	—	`conf`	Copyright protection of 3D images using watermarks of specific spatial structure. ICME (2) Giorgos Louizis, Anastasios Tefas, Ioannis Pitas
2002	J	`jnl`	Face verification using elastic graph matching based on morphological signal decomposition. Signal Process. Anastasios Tefas, Constantine Kotropoulos, Ioannis Pitas
2002	—	`conf`	Watermark detection: benchmarking perspectives. ICME (2) Nikos Nikolaidis, Vassilios Solachidis, Anastasios Tefas, Ioannis Pitas
2001	—	`conf`	A benchmarking protocol for watermarking methods. ICIP (3) Nikos Nikolaidis, Sofia Tsekeridou, Anastasios Tefas, Vassilios Solachidis, Athanasios Nikolaidis, Ioannis Pitas
2001	—	`conf`	A survey on watermarking application scenarios and related attacks. ICIP (3) Athanasios Nikolaidis, Sofia Tsekeridou, Anastasios Tefas, Vassilios Solachidis
2001	Misc	`conf`	Bernoulli shift generated chaotic watermarks: theoretic investigation. ICASSP Sofia Tsekeridou, Vassilios Solachidis, Nikos Nikolaidis, Athanasios Nikolaidis, Anastasios Tefas, Ioannis Pitas
2001	J	`jnl`	Image authentication techniques for surveillance applications. Proc. IEEE Franco Bartolini, Anastasios Tefas, Mauro Barni, Ioannis Pitas
2001	Misc	`conf`	Robust spatial image watermarking using progressive detection. ICASSP Anastasios Tefas, Ioannis Pitas
2001	—	`conf`	Statistical analysis of Markov chaotic sequences for watermarking applications. ISCAS (2) Anastasios Tefas, Athanasios Nikolaidis, Nikos Nikolaidis, Vassilios Solachidis, Sofia Tsekeridou, Ioannis Pitas
2001	J	`jnl`	Statistical analysis of a watermarking system based on Bernoulli chaotic sequences. Signal Process. Sofia Tsekeridou, Vassilios Solachidis, Nikos Nikolaidis, Athanasios Nikolaidis, Anastasios Tefas, Ioannis Pitas
2001	—	`conf`	Theoretic Performance Analysis of a Watermarking System based on Bernoulli Chaotic Sequences. Communications and Multimedia Security Sofia Tsekeridou, Vassilios Solachidis, Nikos Nikolaidis, Athanasios Nikolaidis, Anastasios Tefas, Ioannis Pitas
2001	J	`jnl`	Using Support Vector Machines to Enhance the Performance of Elastic Graph Matching for Frontal Face Authentication. IEEE Trans. Pattern Anal. Mach. Intell. Anastasios Tefas, Constantine Kotropoulos, Ioannis Pitas
2000	B	`conf`	Comparison of Face Verification Results on the XM2VTS Database. ICPR Jiri Matas, Miroslav Hamouz, Kenneth Jonsson, Josef Kittler, Yongping Li, Constantine Kotropoulos, Anastasios Tefas, Ioannis Pitas, Teewoon Tan, Hong Yan, Fabrizio Smeraldi, N. Capdevielle, Wulfram Gerstner, Yousri Abdeljaoued, Josef Bigün, S. Ben-Yacoub, Eddy Mayoraz
2000	Misc	`conf`	Face authentication by using elastic graph matching and support vector machines. ICASSP Anastasios Tefas, Constantine Kotropoulos, Ioannis Pitas
2000	J	`jnl`	Frontal Face Authentication Using Discriminating Grids with Morphological Feature Vectors. IEEE Trans. Multim. Constantine Kotropoulos, Anastasios Tefas, Ioannis Pitas
2000	J	`jnl`	Frontal face authentication using morphological elastic graph matching. IEEE Trans. Image Process. Constantine Kotropoulos, Anastasios Tefas, Ioannis Pitas
2000	—	`conf`	Image authentication and tamper proofing using mathematical morphology. EUSIPCO Anastasios Tefas, Ioannis Pitas
2000	C	`conf`	Image authentication using chaotic mixing systems. ISCAS Anastasios Tefas, Ioannis Pitas
2000	J	`jnl`	Morphological elastic graph matching applied to frontal face authentication under well-controlled and real conditions. Pattern Recognit. Constantine Kotropoulos, Anastasios Tefas, Ioannis Pitas
2000	B	`conf`	Multi-Bit Image Watermarking Robust to Geometric Distortions. ICIP Anastasios Tefas, Ioannis Pitas
2000	B	`conf`	Using Support Vector Machines for Face Authentication Based on Elastic Graph Matching. ICIP Anastasios Tefas, Constantine Kotropoulos, Ioannis Pitas
1999	Misc	`conf`	Compensating for variable recording conditions in frontal face authentication algorithms. ICASSP Anastasios Tefas, Yann Menguy, Constantine Kotropoulos, Gaël Richard, Ioannis Pitas, Philip Lockwood
1999	—	`conf`	Morphological Elastic Graph Matching Applied to Frontal Face Authentication under Optimal and Real Conditions. ICMCS, Vol. 2 Constantine Kotropoulos, Anastasios Tefas, Ioannis Pitas
1999	—	`conf`	Multi Modal Verification for Teleservices and Security Applications (M2VTS). ICMCS, Vol. 2 Gaël Richard, Yann Menguy, I. Guis, N. Suaudeau, Jérôme Boudy, Philip Lockwood, C. Fernández, Fernando Fernández, Constantine Kotropoulos, Anastasios Tefas, Ioannis Pitas, R. Heimgartner, Peter Ryser, Charles Beumier, Patrick Verlinde, Steven Pigeon, George Matas, Josef Kittler, Josef Bigün, Yousri Abdeljaoued, Eric Meurville, Laurent Besacier, Michael Ansorge, Gilbert Maître, Juergen Luettin, S. Ben-Yacoub, Belén Ruíz, K. Aldama, J. Cortes
1999	—	`conf`	Performance assessment of morphological dynamic link architecture under optimal and real operating conditions. NSIP Costas Kotropoulos, Anastasios Tefas, Ioannis Pitas, C. Fernández, F. Fernández
1998	B	`conf`	Face Verification based on Morphological Shape Decomposition. FG Anastasios Tefas, Constantine Kotropoulos, Ioannis Pitas
1998	Misc	`conf`	Face authentication using variants of elastic graph matching based on mathematical morphology that incorporate local discriminant coefficients. ICASSP Constantine Kotropoulos, Anastasios Tefas, Ioannis Pitas
1998	—	`conf`	Frontal Face Authentication using Variants of Dynamic Link Matching Based on Mathematical Morphology. ICIP (1) Costas Kotropoulos, Anastasios Tefas, Ioannis Pitas
1998	A*	`conf`	Variants of Dynamic Link Architecture Based on Mathematical Morphology for Frontal Face Authentication. CVPR Anastasios Tefas, Constantine Kotropoulos, Ioannis Pitas