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2020 – today
- 2023
[j47]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)- [c74]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 - [c73]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) - 2022
- [j46]Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj:
Graph Embedding With Data Uncertainty. IEEE Access 10: 24232-24239 (2022) - [j45]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) - [j44]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) - [j43]Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas:
Probabilistic online self-distillation. Neurocomputing 493: 592-604 (2022) - [j42]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) - [j41]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) - [j40]Manos Kirtas, A. 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) - [j39]Nikolaos Karantaglis, Nikolaos Passalis, Anastasios Tefas:
Predicting on-street parking violation rate using deep residual neural networks. Pattern Recognit. Lett. 163: 82-91 (2022) - [c72]A. 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 - [c71]Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas:
Active Vision Control Policies for Face Recognition using Deep Reinforcement Learning. EUSIPCO 2022: 1087-1091 - [c70]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 - [c69]Georgios Panagiotatos, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas:
Sentiment-Aware Distillation for Bitcoin Trend Forecasting Under Partial Observability. ICASSP 2022: 3898-3902 - [c68]Alexandros Chariton, Nikolaos Passalis, Anastasios Tefas:
Bag-Of-Features-Based Knowledge Distillation For Lightweight Convolutional Neural Networks. ICIP 2022: 1541-1545 - [c67]Pavlos Floratos, Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas:
Online Knowledge Distillation for Financial Timeseries Forecasting. INISTA 2022: 1-6 - [c66]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 - [c65]Nikolaos Karantaglis, Nikolaos Passalis, Anastasios Tefas:
Deep Learning for On-Street Parking Violation Prediction. IVMSP 2022: 1-5 - [c64]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 - [c63]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 - [c62]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 - [c61]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 - [c60]Manos Kirtas, Nikolaos Passalis, A. Oikonomou, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas:
Normalized Post-training Quantization for Photonic Neural Networks. SSCI 2022: 657-663 - [i26]Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj:
Non-Linear Spectral Dimensionality Reduction Under Uncertainty. CoRR abs/2202.04678 (2022) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]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
- [j38]Nikolaos Passalis, Stavros Doropoulos:
deepsing: Generating sentiment-aware visual stories using cross-modal music translation. Expert Syst. Appl. 164: 114059 (2021) - [j37]Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas:
Online Subclass Knowledge Distillation. Expert Syst. Appl. 181: 115132 (2021) - [j36]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas:
Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning. Neural Networks 140: 193-202 (2021) - [j35]Adamantios Zaras, Nikolaos Passalis, Anastasios Tefas:
Improving knowledge distillation using unified ensembles of specialized teachers. Pattern Recognit. Lett. 146: 215-221 (2021) - [j34]Angelos Nalmpantis, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas:
Deep adaptive group-based input normalization for financial trading. Pattern Recognit. Lett. 152: 413-419 (2021) - [j33]Nikolaos Passalis, Anastasios Tefas:
Deep supervised hashing using quadratic spherical mutual information for efficient image retrieval. Signal Process. Image Commun. 93: 116146 (2021) - [j32]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) - [j31]Mehmet Yamaç, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bülent Sankur, Moncef Gabbouj:
Multi-Level Reversible Data Anonymization via Compressive Sensing and Data Hiding. IEEE Trans. Inf. Forensics Secur. 16: 1014-1028 (2021) - [j30]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) - [j29]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) - [j28]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) - [j27]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) - [c59]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 - [c58]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 - [c57]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 - [c56]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 - [c55]Nikolaos Passalis, Anastasios Tefas:
Adaptive Inference for Face Recognition leveraging Deep Metric Learning-enabled Early Exits. EUSIPCO 2021: 1346-1350 - [c54]Nikolaos Passalis, Anastasios Tefas:
Pseudo-Active Vision For Improving Deep Visual Perception Through Neural Sensory Refinement. ICIP 2021: 2763-2767 - [c53]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 - [c52]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 - [c51]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 - [i20]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) - [i19]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) - 2020
- [j26]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) - [j25]Nikolaos Passalis, Anastasios Tefas:
Continuous drone control using deep reinforcement learning for frontal view person shooting. Neural Comput. Appl. 32(9): 4227-4238 (2020) - [j24]Nikolaos Passalis, George Mourgias-Alexandris, Nikos Pleros, Anastasios Tefas:
Initializing photonic feed-forward neural networks using auxiliary tasks. Neural Networks 129: 103-108 (2020) - [j23]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) - [j22]Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Recurrent bag-of-features for visual information analysis. Pattern Recognit. 106: 107380 (2020) - [j21]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) - [j20]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) - [j19]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) - [j18]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) - [j17]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) - [c50]Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas:
Heterogeneous Knowledge Distillation Using Information Flow Modeling. CVPR 2020: 2336-2345 - [c49]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 - [c48]Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Robust Hypersphere-based Weight Imprinting for Few-Shot Learning. EUSIPCO 2020: 1392-1396 - [c47]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 - [c46]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 - [c45]Jussi Taipalmaa, Nikolaos Passalis, Jenni Raitoharju:
Different Color Spaces In Deep Learning-Based Water Segmentation For Autonomous Marine Operations. ICIP 2020: 3169-3173 - [c44]A. Tzimas, Nikolaos Passalis, Anastasios Tefas:
Leveraging Deep Reinforcement Learning For Active Shooting Under Open-World Setting. ICME 2020: 1-6 - [c43]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 - [c42]Theodoros Bozinis, Nikolaos Passalis, Anastasios Tefas:
Improving Visual Question Answering using Active Perception on Static Images. ICPR 2020: 879-884 - [c41]Nikolaos Passalis, Anastasios Tefas:
Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval. ICPR 2020: 885-892 - [c40]Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas:
Efficient Online Subclass Knowledge Distillation for Image Classification. ICPR 2020: 1007-1014 - [c39]Manos Kirtas, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas:
Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics. AIAI (2) 2020: 64-75 - [c38]Nikolaos Passalis, George Mourgias-Alexandris, Nikos Pleros, Anastasios Tefas:
Adaptive Initialization for Recurrent Photonic Networks using Sigmoidal Activations. ISCAS 2020: 1-5 - [c37]Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas:
Multilayer Probabilistic Knowledge Transfer for Learning Image Representations. ISCAS 2020: 1-5 - [c36]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas:
Improving Deep Reinforcement Learning for Financial Trading Using Neural Network Distillation. MLSP 2020: 1-6 - [c35]Nikolaos Passalis, Jenni Raitoharju, Moncef Gabbouj, Anastasios Tefas:
Efficient Adaptive Inference Leveraging Bag-of-Features-based Early Exits. MMSP 2020: 1-6 - [c34]Nikolaos Passalis, Anastasios Tefas:
Leveraging Active Perception for Improving Embedding-based Deep Face Recognition. MMSP 2020: 1-6 - [c33]George Mourgias-Alexandris, George Dabos, Nikolaos Passalis, Anastasios Tefas, Angelina Totovic, Nikos Pleros:
All-Optical Recurrent Neural Network with Sigmoid Activation Function. OFC 2020: 1-3 - [c32]Paraskevas Pegios, Nikolaos Passalis, Anastasios Tefas:
Improving Universal Style Transfer using Sub-style Decomposition. SETN 2020: 97-100 - [c31]Nikolaos Passalis, Anastasios Tefas:
Global Adaptive Input Normalization for Short-Term Electric Load Forecasting. SSCI 2020: 1-8 - [i18]Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas:
Heterogeneous Knowledge Distillation using Information Flow Modeling. CoRR abs/2005.00727 (2020) - [i17]Jorge Peña Queralta, Jenni Raitoharju, Tuan Nguyen Gia, Nikolaos Passalis, Tomi Westerlund:
AutoSOS: Towards Multi-UAV Systems Supporting Maritime Search and Rescue with Lightweight AI and Edge Computing. CoRR abs/2005.03409 (2020) - [i16]Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis:
Attention-based Neural Bag-of-Features Learning for Sequence Data. CoRR abs/2005.12250 (2020) - [i15]Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj:
Graph Embedding with Data Uncertainty. CoRR abs/2009.00505 (2020)
2010 – 2019
- 2019
- [j16]Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis:
Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data. IEEE Access 7: 64722-64736 (2019) - [j15]Nikolaos Passalis, Anastasios Tefas:
Deep reinforcement learning for controlling frontal person close-up shooting. Neurocomputing 335: 37-47 (2019) - [j14]Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas:
Interactive dimensionality reduction using similarity projections. Knowl. Based Syst. 165: 77-91 (2019) - [j13]Nikolaos Passalis, Anastasios Tefas:
Long-term temporal averaging for stochastic optimization of deep neural networks. Neural Comput. Appl. 31(6): 1733-1745 (2019) - [j12]Nikolaos Passalis, Anastasios Tefas:
Discriminative clustering using regularized subspace learning. Pattern Recognit. 96 (2019) - [j11]Angeliki Papadimitriou, Nikolaos Passalis, Anastasios Tefas:
Visual representation decoding from human brain activity using machine learning: A baseline study. Pattern Recognit. Lett. 128: 38-44 (2019) - [j10]Nikolaos Passalis, Anastasios Tefas:
Unsupervised Knowledge Transfer Using Similarity Embeddings. IEEE Trans. Neural Networks Learn. Syst. 30(3): 946-950 (2019) - [j9]Nikolaos Passalis, Anastasios Tefas:
Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1705-1715 (2019) - [c30]Georgios Panagiotatos, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Curriculum-based Teacher Ensemble for Robust Neural Network Distillation. EUSIPCO 2019: 1-5 - [c29]Mehmet Yamaç, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bülent Sankur, Moncef Gabbouj:
Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing. EUSIPCO 2019: 1-5 - [c28]Nikolaos Passalis, George Mourgias-Alexandris, Apostolos Tsakyridis, Nikos Pleros, Anastasios Tefas:
Variance Preserving Initialization for Training Deep Neuromorphic Photonic Networks with Sinusoidal Activations. ICASSP 2019: 1483-1487 - [c27]Konstantinos Saitas Zarkias, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas:
Deep Reinforcement Learning for Financial Trading Using Price Trailing. ICASSP 2019: 3067-3071 - [c26]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Deep Temporal Logistic Bag-of-features for Forecasting High Frequency Limit Order Book Time Series. ICASSP 2019: 7545-7549 - [c25]Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj:
Class-Based Variational Representation Learning For Robust Image Retrieval. ICIP 2019: 854-858 - [c24]Nikolaos Passalis, Jenni Raitoharju, Anastasios Tefas, Moncef Gabbouj:
Adaptive Inference Using Hierarchical Convolutional Bag-of-Features for Low-Power Embedded Platforms. ICIP 2019: 3048-3052 - [c23]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fabio Valerio Massoli, Nikolaos Passalis, Anastasios Tefas, Alessandro Trivilini, Claudio Vairo:
Face Verification and Recognition for Digital Forensics and Information Security. ISDFS 2019: 1-6 - [c22]Jussi Taipalmaa, Nikolaos Passalis, Honglei Zhang, Moncef Gabbouj, Jenni Raitoharju:
High-Resolution Water Segmentation for Autonomous Unmanned Surface Vehicles: a Novel Dataset and Evaluation. MLSP 2019: 1-6 - [c21]Christina Tzogka, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Less Is More: Deep Learning Using Subjective Annotations For Sentiment Analysis From Social Media. MLSP 2019: 1-6 - [c20]George Mourgias-Alexandris, Apostolos Tsakyridis, Nikolaos Passalis, Anastasios Tefas, Nikos Pleros:
Experimental Demonstration of an Optical Neuron with a Logistic Sigmoid Activation Function. OFC 2019: 1-3 - [p1]Nikolaos Passalis, Anastasios Tefas:
Deep Learning Analytics. Machine Learning Paradigms 2019: 339-370 - [i14]Nikolaos Passalis, Anastasios Tefas:
Deep Supervised Hashing leveraging Quadratic Spherical Mutual Information for Content-based Image Retrieval. CoRR abs/1901.05135 (2019)