default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAnastasios Tefas
Person information
- affiliation: Aristotle University of Thessaloniki, Greece
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j155]Paraskevi Nousi
, Anastasios Tefas:
Deep label embedding learning for classification. Appl. Soft Comput. 163: 111925 (2024)- [j154]Loukia Avramelou, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas:
Deep reinforcement learning for financial trading using multi-modal features. Expert Syst. Appl. 238(Part C): 121849 (2024) - [j153]Manos Kirtas, Nikolaos Passalis, Anastasios Tefas:
Multiplicative update rules for accelerating deep learning training and increasing robustness. Neurocomputing 576: 127352 (2024) - [j152]Ioannis Mademlis, Charalampos Symeonidis, Anastasios Tefas, Ioannis Pitas:
Vision-based drone control for autonomous UAV cinematography. Multim. Tools Appl. 83(8): 25055-25083 (2024) - [j151]Ourania Stentoumi, Paraskevi Nousi, Maria Tzelepi, Anastasios Tefas:
AnIO: anchored input-output learning for time-series forecasting. Neural Comput. Appl. 36(6): 2683-2693 (2024) - [j150]Nikolaos Karantaglis, Nikolaos Passalis, Anastasios Tefas:
Semi-supervised learning for on-street parking violation prediction using graph convolutional networks. Neural Comput. Appl. 36(31): 19643-19652 (2024) - [j149]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis:
Vpit: real-time embedded single object 3D tracking using voxel pseudo images. Neural Comput. Appl. 36(32): 20341-20354 (2024) - [j148]Vasileios Moustakidis, Nikolaos Passalis, Anastasios Tefas:
Online probabilistic knowledge distillation on cryptocurrency trading using Deep Reinforcement Learning. Pattern Recognit. Lett. 186: 243-249 (2024) - [c288]Nikolaos Chandrinos, Michalis Amasialidis, Manos Kirtas, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas:
Quantization-Aware Training for Multi-Agent Reinforcement Learning. EUSIPCO 2024: 1891-1895 - [c287]Ioannis Bountouris, Nikolaos Passalis, Anastasios Tefas:
Probabilistic Knowledge Transfer for Lightweight Vision Transformers. EUSIPCO 2024: 1942-1946 - [c286]Dimitrios Katsikas, Nikolaos Passalis, Anastasios Tefas:
Bi-Directional Knowledge Transfer For Continual Deep Reinforcement Learning in Financial Trading. MLSP 2024: 1-6 - [c285]Miltiadis Moralis-Pegios, Apostolos Tsakyridis, Christos Pappas, Theodoros Moschos, George Giamougiannis, Stefanos Kovaios, Ioannis Roumpos, Manos Kirtas, Nikos Passalis, Anastasios Tefas, Nikos Pleros:
Optics-informed Neural Networks: Bridging Deep Learning with Photonic Accelerators. OFC 2024: 1-3 - [c284]Christos Pappas, Theodoros Moschos, Miltiadis Moralis-Pegios, George Giamougiannis, Apostolos Tsakyridis, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas, Nikos Pleros:
A TeraFLOP Photonic Matrix Multiplier using Time-Space-Wavelength Multiplexed AWGR-based Architectures. OFC 2024: 1-3 - [i33]Konstantinos Gounis, Nikolaos Passalis, Anastasios Tefas:
UAV Active Perception and Motion Control for Improving Navigation Using Low-Cost Sensors. CoRR abs/2407.15122 (2024) - [i32]Manos Kirtas, Konstantinos Tsampazis, Loukia Avramelou, Nikolaos Passalis, Anastasios Tefas:
Using Part-based Representations for Explainable Deep Reinforcement Learning. CoRR abs/2408.11455 (2024) - 2023
- [j147]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. Appl. Soft Comput. 147: 110746 (2023) - [j146]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:
A multiple-UAV architecture for autonomous media production. Multim. Tools Appl. 82(2): 1905-1934 (2023) - [j145]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) - [j144]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) - [j143]Alexandros Chariton, Nikolaos Passalis, Nikos Pleros, Anastasios Tefas:
Mutual Information-Based Neural Network Distillation for Improving Photonic Neural Network Training. Neural Process. Lett. 55(7): 8589-8604 (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) - [c283]Achilleas Andronikos, Maria Tzelepi, Anastasios Tefas:
Residual Error Learning for Electricity Demand Forecasting. EANN 2023: 391-402 - [c282]Angelos Nalmpantis, Nikolaos Passalis, Anastasios Tefas:
End-to-End Trainable Gaussian Filtering for Electrocardiogram Signal Classification Using Deep Learning. EUSIPCO 2023: 1060-1064 - [c281]Dimitrios Tsiakmakis, Nikolaos Passalis, Anastasios Tefas:
Improving Inertial-Based UAV Localization using Data-Efficient Deep Reinforcement Learning. EUSIPCO 2023: 1355-1359 - [c280]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 - [c279]Maria Tzelepi, Paraskevi Nousi, Anastasios Tefas:
Improving Electric Load Demand Forecasting with Anchor-Based Forecasting Method. ICASSP 2023: 1-5 - [c278]Theodoros Manousis, Nikolaos Passalis, Anastasios Tefas:
Enabling High-Resolution Pose Estimation in Real Time Using Active Perception. ICIP 2023: 2425-2429 - [c277]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 - [c276]Nikolaos Passalis, Pavlos Tosidis, Theodoros Manousis, Anastasios Tefas:
Deep Learning for Active Robotic Perception. IJCCI 2023: 15-21 - [c275]Paraskevi Nousi, Maria Tzelepi, Anastasios Tefas:
Anchored Input-Output Learning for Electrical Load Demand Forecasting. ISCAS 2023: 1-5 - [c274]Georgios Orfanidis, Konstantinos Ioannidis, Anastasios Tefas, Stefanos Vrochidis, Ioannis Kompatsiaris:
Tweaking EfficientDet for frugal training. ICMR 2023: 607-611 - [c273]Manos Kirtas, Nikolaos Passalis, Athina Oikonomou, Miltiadis Moralis-Pegios, George Giamougiannis, Apostolos Tsakyridis, George Mourgias-Alexandris, Nikolaos Pleros, Anastasios Tefas:
Quantization-Aware Training for Mixed Precision Photonic Neural Networks. MLSP 2023: 1-6 - [c272]Konstantinos Tsampazis, Manos Kirtas, Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas:
Deep Reinforcement Learning With Action Masking for Differential-Drive Robot Navigation Using Low-Cost Sensors. MLSP 2023: 1-6 - [c271]Dimosthenis Moralis, Maria Tzelepi, Anastasios Tefas:
Retrieval-Based Methodology for Few-Sample Logo Recognition. MMSP 2023: 1-6 - [c270]Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas:
Leveraging Active and Continual Learning for Improving Deep Face Recognition in-the-Wild. MMSP 2023: 1-5 - [c269]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 - [c268]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 - [c267]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis:
Variational Voxel Pseudo Image Tracking. SSCI 2023: 323-328 - [c266]Loukia Avramelou, Nikolaos Passalis, Grigorios Tsoumakas, Anastasios Tefas:
Domain-Specific Large Language Model Finetuning using a Model Assistant for Financial Text Summarization. SSCI 2023: 381-386 - [c265]Emmanouil Mpampis, Nikolaos Passalis, Anastasios Tefas:
Symmetric Fine-Tuning for Improving Few-Shot Object Detection. SSCI 2023: 598-602 - [c264]Stefanos Ginargiros, Nikolaos Passalis, Anastasios Tefas:
Deep Active Perception for Object Detection using Navigation Proposals. SSCI 2023: 897-901 - [c263]Valia Dimaridou, Nikolaos Passalis, Anastasios Tefas:
Deep Active Robotic Perception for Improving Face Recognition Under Occlusions. SSCI 2023: 1599-1602 - [i31]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis:
Variational Voxel Pseudo Image Tracking. CoRR abs/2302.05914 (2023) - [i30]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) - [i29]Manos Kirtas, Nikolaos Passalis, Anastasios Tefas:
Multiplicative update rules for accelerating deep learning training and increasing robustness. CoRR abs/2307.07189 (2023) - [i28]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:
Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management. CoRR abs/2309.16679 (2023) - [i27]Manos Kirtas, Nikolaos Passalis, Nikolaos Pleros, Anastasios Tefas:
Non-negative isomorphic neural networks for photonic neuromorphic accelerators. CoRR abs/2310.01084 (2023) - [i26]Apostolos Tsakyridis, Miltiadis Moralis-Pegios, George Giamougiannis, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas, Nikos Pleros:
Photonic Neural Networks and Optics-informed Deep Learning Fundamentals. CoRR abs/2312.00037 (2023) - [i25]Stefanos Ginargiros, Nikolaos Passalis, Anastasios Tefas:
Deep Active Perception for Object Detection using Navigation Proposals. CoRR abs/2312.10200 (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, Erdal 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, Erdal 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, Eliu 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, Solon 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]