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ORCIDAnastasios Tefas
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- affiliation: Aristotle University of Thessaloniki, Greece
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2020 – today
- 2023
[j145]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 R. Bull, Ioannis Pitas:
A multiple-UAV architecture for autonomous media production. Multim. Tools Appl. 82(2): 1905-1934 (2023)- [j144]Manos Kirtas, Nikolaos Passalis, Athina Oikonomou, Miltiadis Moralis-Pegios, George Giamougiannis, Apostolos Tsakyridis, George Mourgias-Alexandris, Nikolaos Pleros, Anastasios Tefas:
Mixed-precision quantization-aware training for photonic neural networks. Neural Comput. Appl. 35(29): 21361-21379 (2023) - [j143]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas:
Modeling limit order trading with a continuous action policy for deep reinforcement learning. Neural Networks 165: 506-515 (2023) - [j142]Manos Kirtas, Nikolaos Passalis, George Mourgias-Alexandris, George Dabos, Nikos Pleros, Anastasios Tefas:
Robust Architecture-Agnostic and Noise Resilient Training of Photonic Deep Learning Models. IEEE Trans. Emerg. Top. Comput. Intell. 7(1): 140-149 (2023) - [c269]Achilleas Andronikos, Maria Tzelepi, Anastasios Tefas:
Residual Error Learning for Electricity Demand Forecasting. EANN 2023: 391-402 - [c268]Loukia Avramelou, Paraskevi Nousi, Nikolaos Passalis, Stavros Doropoulos, Anastasios Tefas:
Cryptosentiment: A Dataset and Baseline for Sentiment-Aware Deep Reinforcement Learning for Financial Trading. ICASSP Workshops 2023: 1-5 - [c267]Georgios Rodinos, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas:
A Sharpe Ratio Based Reward Scheme in Deep Reinforcement Learning for Financial Trading. AIAI (1) 2023: 15-23 - [c266]Paraskevi Nousi, Maria Tzelepi, Anastasios Tefas:
Anchored Input-Output Learning for Electrical Load Demand Forecasting. ISCAS 2023: 1-5 - [c265]Georgios Orfanidis, Konstantinos Ioannidis, Anastasios Tefas, Stefanos Vrochidis, Ioannis Kompatsiaris:
Tweaking EfficientDet for frugal training. ICMR 2023: 607-611 - [c264]Angelina Totovic, Apostolos Tsakyridis, George Giamougiannis, Miltiadis Moralis-Pegios, Anastasios Tefas, Nikos Pleros:
Programmable Photonic Neural Networks for advanced Machine Learning tasks. OFC 2023: 1-3 - [c263]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:
DDOS attack identification via a silicon photonic Deep Neural Network with 50 GHz input and weight update. OFC 2023: 1-3 - [i27]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis:
Variational Voxel Pseudo Image Tracking. CoRR abs/2302.05914 (2023) - [i26]Maria Tzelepi, Charalampos Symeonidis, Paraskevi Nousi, Efstratios Kakaletsis, Theodoros Manousis, Pavlos Tosidis, Nikos Nikolaidis, Anastasios Tefas:
Deep Learning for Energy Time-Series Analysis and Forecasting. CoRR abs/2306.09129 (2023) - [i25]Manos Kirtas, Nikolaos Passalis, Anastasios Tefas:
Multiplicative update rules for accelerating deep learning training and increasing robustness. CoRR abs/2307.07189 (2023) - 2022
- [j141]Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis:
Attention-Based Neural Bag-of-Features Learning for Sequence Data. IEEE Access 10: 45542-45552 (2022) - [j140]Efstratios Kakaletsis, Charalampos Symeonidis, Maria Tzelepi, Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Computer Vision for Autonomous UAV Flight Safety: An Overview and a Vision-based Safe Landing Pipeline Example. ACM Comput. Surv. 54(9): 181:1-181:37 (2022) - [j139]Paraskevi Nousi, Styliani-Christina Fragkouli, Nikolaos Passalis, Panagiotis Iosif, Theocharis Apostolatos, George Pappas, Nikolaos Stergioulas, Anastasios Tefas:
Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling. Neurocomputing 491: 67-77 (2022) - [j138]Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas:
Probabilistic online self-distillation. Neurocomputing 493: 592-604 (2022) - [j137]Nikolaos Passalis, Loukia Avramelou, Solon Seficha, Avraam Tsantekidis, Stavros Doropoulos, Giorgos Makris, Anastasios Tefas:
Multisource financial sentiment analysis for detecting Bitcoin price change indications using deep learning. Neural Comput. Appl. 34(22): 19441-19452 (2022) - [j136]Angelina Totovic, Christos Pappas, Manos Kirtas, Apostolos Tsakyridis, George Giamougiannis, Nikolaos Passalis, Miltiadis Moralis-Pegios, Anastasios Tefas, Nikos Pleros:
WDM equipped universal linear optics for programmable neuromorphic photonic processors. Neuromorph. Comput. Eng. 2(2): 24010 (2022) - [j135]Manos Kirtas, Athina Oikonomou, Nikolaos Passalis, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas:
Quantization-aware training for low precision photonic neural networks. Neural Networks 155: 561-573 (2022) - [j134]Shaohua Wan, Zan Gao, Hanwang Zhang, Xiaojun Chang, Chen Chen, Anastasios Tefas:
Editorial paper for Pattern Recognition Letters VSI on cross model understanding for visual question answering. Pattern Recognit. Lett. 160: 9-10 (2022) - [j133]Nikolaos Karantaglis, Nikolaos Passalis, Anastasios Tefas:
Predicting on-street parking violation rate using deep residual neural networks. Pattern Recognit. Lett. 163: 82-91 (2022) - [c262]Athina Oikonomou, Manos Kirtas, Nikos Passalis, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas:
A Robust, Quantization-Aware Training Method for Photonic Neural Networks. EANN 2022: 427-438 - [c261]Maria Tzelepi, Nikolaos Tragkas, Anastasios Tefas:
Improving Binary Semantic Scene Segmentation for Robotics Applications. EANN 2022: 439-447 - [c260]Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas:
Active Vision Control Policies for Face Recognition using Deep Reinforcement Learning. EUSIPCO 2022: 1087-1091 - [c259]Manos Kirtas, Nikos Passalis, George Mourgias-Alexandris, George Dabos, Nikos Pleros, Anastasios Tefas:
Learning photonic neural network initialization for noise-aware end-to-end fiber transmission. EUSIPCO 2022: 1731-1735 - [c258]Georgios Panagiotatos, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas:
Sentiment-Aware Distillation for Bitcoin Trend Forecasting Under Partial Observability. ICASSP 2022: 3898-3902 - [c257]Alexandros Chariton, Nikolaos Passalis, Anastasios Tefas:
Bag-Of-Features-Based Knowledge Distillation For Lightweight Convolutional Neural Networks. ICIP 2022: 1541-1545 - [c256]Maria Tzelepi, Charalampos Symeonidis, Nikos Nikolaidis, Anastasios Tefas:
Multilayer Online Self-Acquired Knowledge Distillation. ICPR 2022: 4822-4828 - [c255]Maria Tzelepi, Charalampos Symeonidis, Nikos Nikolaidis, Anastasios Tefas:
Real-time synthetic-to-real human detection for robotics applications. IISA 2022: 1-5 - [c254]Maria Tzelepi, Anastasios Tefas:
Forecasting day-ahead electric load demand on Greek Energy Market. IISA 2022: 1-4 - [c253]Pavlos Floratos, Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas:
Online Knowledge Distillation for Financial Timeseries Forecasting. INISTA 2022: 1-6 - [c252]Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, E. Kayacan, Jens Kober, O. Michel, Nikos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas:
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. IROS 2022: 12479-12484 - [c251]Nikolaos Karantaglis, Nikolaos Passalis, Anastasios Tefas:
Deep Learning for On-Street Parking Violation Prediction. IVMSP 2022: 1-5 - [c250]Manos Kirtas, Nikolaos Passalis, Dimitrios Kalavrouziotis, Dimitris Syrivelis, Paraskevas Bakopoulos, Nikos Pleros, Anastasios Tefas:
Early Detection of DDoS Attacks using Photonic Neural Networks. IVMSP 2022: 1-5 - [c249]Nikitas Maragkos, Maria Tzelepi, Nikolaos Passalis, Apostolos N. Adamakos, Anastasios Tefas:
Electric load demand forecasting on Greek Energy Market using lightweight neural networks. IVMSP 2022: 1-5 - [c248]Nikolaos Passalis, Maria Tzelepi, Polychronis Charitidis, Stavros Doropoulos, Stavros Vologiannidis, Anastasios Tefas:
Deep Video Stream Information Analysis and Retrieval: Challenges and Opportunities. MIPR 2022: 336-341 - [c247]Miltiadis Moralis-Pegios, Angelina Totovic, Apostolos Tsakyridis, George Giamougiannis, George Mourgias-Alexandris, George Dabos, Nikolaos Passalis, Manos Kirtas, Anastasios Tefas, Nikos Pleros:
Photonic Neuromorphic Computing: Architectures, Technologies, and Training Models. OFC 2022: 1-3 - [c246]Manos Kirtas, Nikolaos Passalis, Athina Oikonomou, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas:
Normalized Post-training Quantization for Photonic Neural Networks. SSCI 2022: 657-663 - [e1]Lazaros Iliadis, Chrisina Jayne, Anastasios Tefas, Elias Pimenidis:
Engineering Applications of Neural Networks - 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17-20, 2022, Proceedings. Communications in Computer and Information Science 1600, Springer 2022, ISBN 978-3-031-08222-1 [contents] - [i24]Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, E. Kayacan, Jens Kober, O. Michel, Nikolaos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas:
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. CoRR abs/2203.00403 (2022) - [i23]Styliani-Christina Fragkouli, Paraskevi Nousi, Nikolaos Passalis, Panagiotis Iosif, Nikolaos Stergioulas, Anastasios Tefas:
Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate Modeling. CoRR abs/2203.08434 (2022) - [i22]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis:
VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images. CoRR abs/2206.02619 (2022) - [i21]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, E. A. Huerta, Chris Messenger, Frank Ohme:
MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge. CoRR abs/2209.11146 (2022) - [i20]Paraskevi Nousi, Emmanouil Mpampis, Nikolaos Passalis, Ole Green, Anastasios Tefas:
A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields. CoRR abs/2209.13202 (2022) - 2021
- [j132]Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas:
Online Subclass Knowledge Distillation. Expert Syst. Appl. 181: 115132 (2021) - [j131]Avraam Tsantekidis, Anastasios Tefas:
Transferring trading strategy knowledge to deep learning models. Knowl. Inf. Syst. 63(1): 87-104 (2021) - [j130]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas:
Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning. Neural Networks 140: 193-202 (2021) - [j129]Adamantios Zaras, Nikolaos Passalis, Anastasios Tefas:
Improving knowledge distillation using unified ensembles of specialized teachers. Pattern Recognit. Lett. 146: 215-221 (2021) - [j128]Angelos Nalmpantis, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas:
Deep adaptive group-based input normalization for financial trading. Pattern Recognit. Lett. 152: 413-419 (2021) - [j127]Iason Karakostas, Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
Occlusion detection and drift-avoidance framework for 2D visual object tracking. Signal Process. Image Commun. 90: 116011 (2021) - [j126]Nikolaos Passalis, Anastasios Tefas:
Deep supervised hashing using quadratic spherical mutual information for efficient image retrieval. Signal Process. Image Commun. 93: 116146 (2021) - [j125]Maria Tzelepi, Anastasios Tefas:
Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety. IEEE Trans. Emerg. Top. Comput. Intell. 5(2): 191-204 (2021) - [j124]Nikolaos Passalis, George Mourgias-Alexandris, Apostolos Tsakyridis, Nikos Pleros, Anastasios Tefas:
Training Deep Photonic Convolutional Neural Networks With Sinusoidal Activations. IEEE Trans. Emerg. Top. Comput. Intell. 5(3): 384-393 (2021) - [j123]Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices. IEEE Trans. Neural Networks Learn. Syst. 32(2): 925-930 (2021) - [j122]Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas:
Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2030-2039 (2021) - [j121]Avraam Tsantekidis, Nikolaos Passalis, Anastasia-Sotiria Toufa, Konstantinos Saitas Zarkias, Stergios Chairistanidis, Anastasios Tefas:
Price Trailing for Financial Trading Using Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 32(7): 2837-2846 (2021) - [j120]Nikolaos Passalis, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis, Anastasios Tefas:
Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization. J. Signal Process. Syst. 93(10): 1235-1251 (2021) - [c245]Charalampos Symeonidis, Paraskevi Nousi, Pavlos Tosidis, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, Nikos Nikolaidis:
Efficient Realistic Data Generation Framework Leveraging Deep Learning-Based Human Digitization. EANN 2021: 271-283 - [c244]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:
Silicon-integrated coherent neurons with 32GMAC/sec/axon compute line-rates using EAM-based input and weighting cells. ECOC 2021: 1-4 - [c243]George Mourgias-Alexandris, Apostolos Tsakyridis, Nikolaos Passalis, Manos Kirtas, Anastasios Tefas, Teerapat Rutirawut, Frederic Y. Gardes, Nikos Pleros, Miltiadis Moralis-Pegios:
25GMAC/sec/axon photonic neural networks with 7GHz bandwidth optics through channel response-aware training. ECOC 2021: 1-4 - [c242]Nikos Pleros, Miltiadis Moralis-Pegios, Angelina Totovic, George Dabos, Apostolos Tsakyridis, George Giamougiannis, George Mourgias-Alexandris, Nikos Passalis, Manos Kirtas, Anastasios Tefas:
Compute with Light: Architectures, Technologies and Training Models for Neuromorphic Photonic Circuits. ECOC 2021: 1-4 - [c241]Nikolaos Passalis, Anastasios Tefas:
Adaptive Inference for Face Recognition leveraging Deep Metric Learning-enabled Early Exits. EUSIPCO 2021: 1346-1350 - [c240]Charalampos Symeonidis, Efstratios Kakaletsis, Ioannis Mademlis, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas:
Vision-based UAV Safe Landing exploiting Lightweight Deep Neural Networks. ICIGP 2021: 13-19 - [c239]Nikolaos Passalis, Anastasios Tefas:
Pseudo-Active Vision For Improving Deep Visual Perception Through Neural Sensory Refinement. ICIP 2021: 2763-2767 - [c238]Maria Tzelepi, Anastasios Tefas:
Efficient Training of Lightweight Neural Networks Using Online Self-Acquired Knowledge Distillation. ICME 2021: 1-6 - [c237]Nikolaos Passalis, S. Seficha, Avraam Tsantekidis, Anastasios Tefas:
Learning Sentiment-Aware Trading Strategies for Bitcoin Leveraging Deep Learning-Based Financial News Analysis. AIAI 2021: 757-766 - [c236]Maria Tzelepi, Anastasios Tefas:
Semantic Scene Segmentation for Robotics Applications. IISA 2021: 1-4 - [c235]Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
Introducing K-Anonymity Principles to Adversarial Attacks for Privacy Protection in Image Classification Problems. MLSP 2021: 1-6 - [c234]Angelos Nalmpantis, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas:
Improving Deep Reinforcement Learning for Financial Trading Using Deep Adaptive Group-Based Normalization. MLSP 2021: 1-6 - [c233]George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Stelios Simos, George Dabos, Nikos Passalis, Manos Kirtas, Teerapat Rutirawut, Frederic Y. Gardes, Anastasios Tefas, Nikos Pleros:
A Silicon Photonic Coherent Neuron with 10GMAC/sec processing line-rate. OFC 2021: 1-3 - [i19]Charalampos Symeonidis, Paraskevi Nousi, Pavlos Tosidis, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, Nikos Nikolaidis:
Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization. CoRR abs/2106.15409 (2021) - [i18]Paraskevi Nousi, Styliani-Christina Fragkouli, Nikolaos Passalis, Panagiotis Iosif, Theocharis Apostolatos, George Pappas, Nikolaos Stergioulas, Anastasios Tefas:
Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling. CoRR abs/2107.04312 (2021) - [i17]Maria Tzelepi, Anastasios Tefas:
Semantic Scene Segmentation for Robotics Applications. CoRR abs/2108.11128 (2021) - [i16]Maria Tzelepi, Anastasios Tefas:
Quadratic mutual information regularization in real-time deep CNN models. CoRR abs/2108.11774 (2021) - [i15]Maria Tzelepi, Anastasios Tefas:
Efficient training of lightweight neural networks using Online Self-Acquired Knowledge Distillation. CoRR abs/2108.11798 (2021) - 2020
- [j119]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Using Deep Learning for price prediction by exploiting stationary limit order book features. Appl. Soft Comput. 93: 106401 (2020) - [j118]Paraskevi Nousi, Anastasios Tefas:
Self-supervised autoencoders for clustering and classification. Evol. Syst. 11(3): 453-466 (2020) - [j117]Paraskevi Nousi, Anastasios Tefas, Ioannis Pitas:
Dense convolutional feature histograms for robust visual object tracking. Image Vis. Comput. 99: 103933 (2020) - [j116]Nikolaos Passalis, Anastasios Tefas:
Continuous drone control using deep reinforcement learning for frontal view person shooting. Neural Comput. Appl. 32(9): 4227-4238 (2020) - [j115]Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
K-Anonymity inspired adversarial attack and multiple one-class classification defense. Neural Networks 124: 296-307 (2020) - [j114]Nikolaos Passalis, George Mourgias-Alexandris, Nikos Pleros, Anastasios Tefas:
Initializing photonic feed-forward neural networks using auxiliary tasks. Neural Networks 129: 103-108 (2020) - [j113]Maria Tzelepi, Anastasios Tefas:
Class-specific discriminant regularization in real-time deep CNN models for binary classification problems. Neural Process. Lett. 51(2): 1989-2005 (2020) - [j112]Nikolaos Passalis, Jenni Raitoharju, Anastasios Tefas, Moncef Gabbouj:
Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits. Pattern Recognit. 105: 107346 (2020) - [j111]Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Recurrent bag-of-features for visual information analysis. Pattern Recognit. 106: 107380 (2020) - [j110]Maria Tzelepi, Anastasios Tefas:
Improving the performance of lightweight CNNs for binary classification using quadratic mutual information regularization. Pattern Recognit. 106: 107407 (2020) - [j109]Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Variance-preserving deep metric learning for content-based image retrieval. Pattern Recognit. Lett. 131: 8-14 (2020) - [j108]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data. Pattern Recognit. Lett. 136: 183-189 (2020) - [j107]Paraskevi Nousi, Sotirios Papadopoulos, Anastasios Tefas, Ioannis Pitas:
Deep autoencoders for attribute preserving face de-identification. Signal Process. Image Commun. 81 (2020) - [j106]Alexandros Iosifidis, Anastasios Tefas:
Deep Learning for Visual Content Analysis. Signal Process. Image Commun. 83: 115806 (2020) - [j105]Paraskevi Nousi, Danai Triantafyllidou, Anastasios Tefas, Ioannis Pitas:
Re-identification framework for long term visual object tracking based on object detection and classification. Signal Process. Image Commun. 88: 115969 (2020) - [j104]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data. IEEE Trans. Emerg. Top. Comput. Intell. 4(6): 774-785 (2020) - [j103]Firas Laakom, Nikolaos Passalis, Jenni Raitoharju, Jarno Nikkanen, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj:
Bag of Color Features for Color Constancy. IEEE Trans. Image Process. 29: 7722-7734 (2020) - [j102]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Deep Adaptive Input Normalization for Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3760-3765 (2020) - [c232]Emmanouil Patsiouras, Anastasios Tefas, Ioannis Pitas:
Few-shot Image Recognition for UAV Sports Cinematography. CVPR Workshops 2020: 965-969 - [c231]Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas:
Heterogeneous Knowledge Distillation Using Information Flow Modeling. CVPR 2020: 2336-2345 - [c230]George Mourgias-Alexandris, Nikolaos Passalis, George Dabos, Angelina Totovic, Anastasios Tefas, Nikos Pleros:
Time-series classification with an all-optical recurrent neuron. ECOC 2020: 1-4 - [c229]Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Robust Hypersphere-based Weight Imprinting for Few-Shot Learning. EUSIPCO 2020: 1392-1396 - [c228]Nikolaos Passalis, Manos Kirtas, George Mourgias-Alexandris, George Dabos, Nikos Pleros, Anastasios Tefas:
Training Noise-Resilient Recurrent Photonic Networks for Financial Time Series Analysis. EUSIPCO 2020: 1556-1560 - [c227]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Adaptive Normalization for Forecasting Limit Order Book Data Using Convolutional Neural Networks. ICASSP 2020: 1713-1717 - [c226]A. Tzimas, Nikolaos Passalis, Anastasios Tefas:
Leveraging Deep Reinforcement Learning For Active Shooting Under Open-World Setting. ICME 2020: 1-6 - [c225]Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Human Action Recognition Using Recurrent Bag-of-Features Pooling. ICPR Workshops (5) 2020: 63-76 - [c224]Theodoros Bozinis, Nikolaos Passalis, Anastasios Tefas:
Improving Visual Question Answering using Active Perception on Static Images. ICPR 2020: 879-884 - [c223]Nikolaos Passalis, Anastasios Tefas:
Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval. ICPR 2020: 885-892 - [c222]Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas:
Efficient Online Subclass Knowledge Distillation for Image Classification. ICPR 2020: 1007-1014 - [c221]Georgios Orfanidis, Konstantinos Ioannidis, Stefanos Vrochidis, Anastasios Tefas, Ioannis Kompatsiaris:
A modified Single-Shot multibox Detector for beyond Real-Time Object Detection. ICPR 2020: 3977-3984 - [c220]