Nikolaos Passalis

217 papers A* 2A 2B 15C 12Misc 6Journal 108Unranked 70

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`	A hybrid ML-MILP framework for the optimal integration of photovoltaic and battery systems in manufacturing industries. Comput. Chem. Eng. Georgios P. Georgiadis, Christos N. Dimitriadis, Nikolaos Passalis, Michael C. Georgiadis
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	J	`jnl`	Enhancing industrial scheduling through machine learning: A synergistic approach with predictive modeling and clustering. Comput. Chem. Eng. M. E. Samouilidou, Nikolaos Passalis, Georgios P. Georgiadis, Michael C. Georgiadis
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	J	`jnl`	Residual adaptive input normalization for forecasting renewable energy generation in multiple countries. Pattern Recognit. Lett. Nikolaos Passalis, Christos N. Dimitriadis, Michael C. Georgiadis
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`	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`	A synthetic human-centric dataset generation pipeline for active robotic vision. Pattern Recognit. Lett. Charalampos Georgiadis, Nikolaos Passalis, Nikos Nikolaidis
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 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`	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`	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	C	`conf`	ActiveFace: A Synthetic Active Perception Dataset for Face Recognition. MMSP Charalampos Georgiadis, Nikolaos Passalis, Nikos Nikolaidis
2023	—	`conf`	Calibration of a Photonic Neural Network Considering Fabrication Tolerances. ICTON Onur Düzgöl, Manos Kirtas, Nikolaos Passalis, André Richter
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	—	`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	—	`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`	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	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	—	`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	—	`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	—	`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	—	`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	J	`jnl`	Graph Embedding With Data Uncertainty. IEEE Access Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj
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	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	J	`jnl`	Non-Linear Spectral Dimensionality Reduction Under Uncertainty. CoRR Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj
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	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`	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	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	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`	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	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`	Multi-Level Reversible Data Anonymization via Compressive Sensing and Data Hiding. IEEE Trans. Inf. Forensics Secur. Mehmet Yamaç, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bülent Sankur, Moncef Gabbouj
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`	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`	deepsing: Generating sentiment-aware visual stories using cross-modal music translation. Expert Syst. Appl. Nikolaos Passalis, Stavros Doropoulos
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`	AutoSOS: Towards Multi-UAV Systems Supporting Maritime Search and Rescue with Lightweight AI and Edge Computing. CoRR Jorge Peña Queralta, Jenni Raitoharju, Tuan Nguyen Gia, Nikolaos Passalis, Tomi Westerlund
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`	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`	Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics. AIAI (2) Manos Kirtas, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas
2020	B	`conf`	Different Color Spaces In Deep Learning-Based Water Segmentation For Autonomous Marine Operations. ICIP Jussi Taipalmaa, Nikolaos Passalis, Jenni Raitoharju
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`	Global Adaptive Input Normalization for Short-Term Electric Load Forecasting. SSCI Nikolaos Passalis, Anastasios Tefas
2020	J	`jnl`	Graph Embedding with Data Uncertainty. CoRR Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj
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`	Initializing photonic feed-forward neural networks using auxiliary tasks. Neural Networks Nikolaos Passalis, George Mourgias-Alexandris, Nikos Pleros, Anastasios Tefas
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	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`	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
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`	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	—	`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	—	`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	J	`jnl`	Discriminative clustering using regularized subspace learning. Pattern Recognit. Nikolaos Passalis, Anastasios Tefas
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	—	`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`	High-Resolution Water Segmentation for Autonomous Unmanned Surface Vehicles: a Novel Dataset and Evaluation. MLSP Jussi Taipalmaa, Nikolaos Passalis, Honglei Zhang, Moncef Gabbouj, Jenni Raitoharju
2019	J	`jnl`	Interactive dimensionality reduction using similarity projections. Knowl. Based Syst. Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas
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	—	`conf`	Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing. EUSIPCO Mehmet Yamaç, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bülent Sankur, Moncef Gabbouj
2019	J	`jnl`	Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing. CoRR Mehmet Yamac, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bülent Sankur, Moncef Gabbouj
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
2019	J	`jnl`	deepsing: Generating Sentiment-aware Visual Stories using Cross-modal Music Translation. CoRR Nikolaos Passalis, Stavros Doropoulos
2018	B	`conf`	Accelerating Similarity-Based Discriminant Analysis Using Class-Specific Prototypes. ICIP Nikolaos Passalis, Anastasios Tefas
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	—	`—`	Deep learning methods for data analysis Nikolaos Passalis
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	—	`conf`	Fast, Visual and Interactive Semi-supervised Dimensionality Reduction. ECCV Workshops (4) Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas
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	—	`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	J	`jnl`	Learning bag-of-embedded-words representations for textual information retrieval. Pattern Recognit. Nikolaos Passalis, 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`	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	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	—	`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`	Dimensionality Reduction using Similarity-induced Embeddings. CoRR Nikolaos Passalis, 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	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	J	`jnl`	Neural Bag-of-Features learning. Pattern Recognit. Nikolaos Passalis, Anastasios Tefas
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	B	`conf`	Bag of Embedded Words learning for text retrieval. ICPR Nikolaos Passalis, Anastasios Tefas
2016	J	`jnl`	Entropy Optimized Feature-Based Bag-of-Words Representation for Information Retrieval. IEEE Trans. Knowl. Data Eng. Nikolaos Passalis, 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
2015	B	`conf`	MultiSpot: Spotting Sentiments with Semantic Aware Multilevel Cascaded Analysis. DaWaK Despoina Chatzakou, Nikolaos Passalis, Athena Vakali