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IEEE Transactions on Neural Networks and Learning Systems
|
July 27, 2018
Unsupervised Knowledge Transfer Using Similarity Embeddings
Nikolaos Passalis, Anastasios Tefas
IEEE Transactions on Neural Networks and Learning Systems
|
August 11, 2017
Dimensionality Reduction Using Similarity-Induced Embeddings
Nikolaos Passalis, Anastasios Tefas
IEEE Transactions on Neural Networks and Learning Systems
|
October 30, 2018
Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling
Nikolaos Passalis, Anastasios Tefas
IEEE Transactions on Cybernetics
|
November 17, 2016
Information Clustering Using Manifold-Based Optimization of the Bag-of-Features Representation
Nikolaos Passalis, Anastasios Tefas
IEEE Transactions on Neural Networks and Learning Systems
|
June 2, 2020
Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning
Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas
IEEE Transactions on Neural Networks and Learning Systems
|
June 27, 2025
Inducing Neural Collapse via Anticlasses and One-Cold Cross-Entropy Loss
Dimitrios Katsikas, Nikolaos Passalis, Anastasios Tefas
Neural Networks : the Official Journal of the International Neural Network Society
|
June 22, 2023
Modeling limit order trading with a continuous action policy for deep reinforcement learning
Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
Neural Networks : the Official Journal of the International Neural Network Society
|
March 28, 2021
Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning
Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
Neural Networks : the Official Journal of the International Neural Network Society
|
May 6, 2025
Sign potential-driven multiplicative optimization for robust deep reinforcement learning
Loukia Avramelou, Manos Kirtas, Nikolaos Passalis, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
April 15, 2020
Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices
Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
IEEE Transactions on Neural Networks and Learning Systems
|
July 27, 2018
Unsupervised Knowledge Transfer Using Similarity Embeddings
Nikolaos Passalis, Anastasios Tefas
IEEE Transactions on Neural Networks and Learning Systems
|
August 11, 2017
Dimensionality Reduction Using Similarity-Induced Embeddings
Nikolaos Passalis, Anastasios Tefas
IEEE Transactions on Neural Networks and Learning Systems
|
October 30, 2018
Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling
Nikolaos Passalis, Anastasios Tefas
IEEE Transactions on Cybernetics
|
November 17, 2016
Information Clustering Using Manifold-Based Optimization of the Bag-of-Features Representation
Nikolaos Passalis, Anastasios Tefas
IEEE Transactions on Neural Networks and Learning Systems
|
June 2, 2020
Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning
Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas
IEEE Transactions on Neural Networks and Learning Systems
|
June 27, 2025
Inducing Neural Collapse via Anticlasses and One-Cold Cross-Entropy Loss
Dimitrios Katsikas, Nikolaos Passalis, Anastasios Tefas
Neural Networks : the Official Journal of the International Neural Network Society
|
June 22, 2023
Modeling limit order trading with a continuous action policy for deep reinforcement learning
Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
Neural Networks : the Official Journal of the International Neural Network Society
|
March 28, 2021
Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning
Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
Neural Networks : the Official Journal of the International Neural Network Society
|
May 6, 2025
Sign potential-driven multiplicative optimization for robust deep reinforcement learning
Loukia Avramelou, Manos Kirtas, Nikolaos Passalis, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
April 15, 2020
Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices
Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, et al.
Page
of 2