Publications by authors named "Anastasios Tefas"

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Inducing Neural Collapse via Anticlasses and One-Cold Cross-Entropy Loss.
Dimitrios Katsikas, Nikolaos Passalis, Anastasios Tefas

IEEE Trans Neural Netw Learn Syst· October 2025

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Comparison of ChatGPT-3.5 and GPT-4 as potential tools in artificial intelligence-assisted clinical practice in renal and liver transplantation.
Chrysanthos D Christou, Olga Sitsiani, Panagiotis Boutos, Georgios Katsanos, Georgios Papadakis, Anastasios Tefas

World J Transplant· September 2025

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Sign potential-driven multiplicative optimization for robust deep reinforcement learning.
Loukia Avramelou, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas

Neural Netw· August 2025

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Predicting the immunomodulatory activity of probiotic lactic acid bacteria using supervised machine learning in a Cornu aspersum snail model.
Elissavet Charizani, Esmeralda Dushku, Maria Kyritsi, Eleftheria Theodora Metallinou, Argyro Karathodorou, Anastasios Tefas

Fish Shellfish Immunol· September 2024

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Modeling limit order trading with a continuous action policy for deep reinforcement learning.
Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas

Neural Netw· August 2023

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High-performance end-to-end deep learning IM/DD link using optics-informed neural networks.
Ioannis Roumpos, Lorenzo De Marinis, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas

Opt Express· June 2023

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Analog nanophotonic computing going practical: silicon photonic deep learning engines for tiled optical matrix multiplication with dynamic precision.
George Giamougiannis, Apostolos Tsakyridis, Miltiadis Moralis-Pegios, Christos Pappas, Manos Kirtas, Anastasios Tefas

Nanophotonics· March 2023

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Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning.
Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas

Neural Netw· August 2021

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Price Trailing for Financial Trading Using Deep Reinforcement Learning.
Avraam Tsantekidis, Nikolaos Passalis, Anastasia-Sotiria Toufa, Konstantinos Saitas-Zarkias, Stergios Chairistanidis, Anastasios Tefas

IEEE Trans Neural Netw Learn Syst· July 2021

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Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning.
Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas

IEEE Trans Neural Netw Learn Syst· May 2021

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Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices.
Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas

IEEE Trans Neural Netw Learn Syst· February 2021

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Deep Adaptive Input Normalization for Time Series Forecasting.
Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis

IEEE Trans Neural Netw Learn Syst· September 2020

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Initializing photonic feed-forward neural networks using auxiliary tasks.
Nikolaos Passalis, George Mourgias-Alexandris, Nikos Pleros, Anastasios Tefas

Neural Netw· September 2020

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K-Anonymity inspired adversarial attack and multiple one-class classification defense.
Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas

Neural Netw· April 2020

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Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling.
Nikolaos Passalis, Anastasios Tefas

IEEE Trans Neural Netw Learn Syst· June 2019

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Unsupervised Knowledge Transfer Using Similarity Embeddings.
Nikolaos Passalis, Anastasios Tefas

IEEE Trans Neural Netw Learn Syst· March 2019

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Neurons With Paraboloid Decision Boundaries for Improved Neural Network Classification Performance.
Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas

IEEE Trans Neural Netw Learn Syst· January 2019

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Dimensionality Reduction Using Similarity-Induced Embeddings.
Nikolaos Passalis, Anastasios Tefas

IEEE Trans Neural Netw Learn Syst· August 2018

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Information Clustering Using Manifold-Based Optimization of the Bag-of-Features Representation.
Nikolaos Passalis, Anastasios Tefas

IEEE Trans Cybern· January 2018

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Multimodal Stereoscopic Movie Summarization Conforming to Narrative Characteristics.
Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas

IEEE Trans Image Process· December 2016

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Graph Embedded Extreme Learning Machine.
Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas

IEEE Trans Cybern· January 2016

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Graph embedded nonparametric mutual information for supervised dimensionality reduction.
Dimitrios Bouzas, Nikolaos Arvanitopoulos, Anastasios Tefas

IEEE Trans Neural Netw Learn Syst· May 2015

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Projected gradients for subclass discriminant nonnegative subspace learning.
Symeon Nikitidis, Anastasios Tefas, Ioannis Pitas

IEEE Trans Cybern· December 2014

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Symmetric subspace learning for image analysis.
Konstantinos Papachristou, Anastasios Tefas, Ioannis Pitas

IEEE Trans Image Process· December 2014

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Maximum margin projection subspace learning for visual data analysis.
Symeon Nikitidis, Anastasios Tefas, Ioannis Pitas

IEEE Trans Image Process· October 2014

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