List of works - Anastasios Tefas

Deep Adaptive Input Normalization for Time Series Forecasting

scientific article published on 18 December 2019

Dimensionality Reduction Using Similarity-Induced Embeddings

scientific article published on 08 August 2017

Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning

scientific article published on 18 March 2021

Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits

scholarly article by Nikolaos Passalis et al published September 2020 in Pattern Recognition

Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization

scientific article

Graph Embedded Extreme Learning Machine

scientific article published on 2 March 2015

Graph embedded nonparametric mutual information for supervised dimensionality reduction

scientific article

Human Action Recognition Using Recurrent Bag-of-Features Pooling

scientific article

Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices

scientific article published on 03 April 2020

Improving knowledge distillation using unified ensembles of specialized teachers

scientific article published on 21 March 2021

Improving subspace learning for facial expression recognition using person dependent and geometrically enriched training sets ⬇️

scientific article published on July 21, 2011

Information Clustering Using Manifold-Based Optimization of the Bag-of-Features Representation

scientific article published on 10 November 2016

Initializing photonic feed-forward neural networks using auxiliary tasks

scientific article published on 01 June 2020

K-Anonymity inspired adversarial attack and multiple one-class classification defense

scientific article published on 06 February 2020

Multiplicative update rules for concurrent nonnegative matrix factorization and maximum margin classification

scientific article

Neurons With Paraboloid Decision Boundaries for Improved Neural Network Classification Performance

scientific article published on 14 June 2018

On the optimal class representation in linear discriminant analysis

scientific article published on 01 September 2013

Online Subclass Knowledge Distillation

scientific article published on 04 May 2021

Price Trailing for Financial Trading Using Deep Reinforcement Learning

scientific article published on 09 June 2020

Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning

scientific article published on 01 June 2020

Projected gradients for subclass discriminant nonnegative subspace learning

scientific article published on 5 May 2014

Recurrent bag-of-features for visual information analysis

scientific article

Robust Hypersphere-based Weight Imprinting for Few-Shot Learning

scientific article

Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data

scientific article

Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling

scientific article published on 24 October 2018

Unsupervised Knowledge Transfer Using Similarity Embeddings

scientific article published on 24 July 2018

Using Deep Learning for price prediction by exploiting stationary limit order book features

scholarly article by Avraam Tsantekidis et al published August 2020 in Applied Soft Computing

View-invariant action recognition based on artificial neural networks

scientific article published on March 2012

Weighted piecewise LDA for solving the small sample size problem in face verification

scientific article published in March 2007

List of works by Anastasios Tefas

Deep Adaptive Input Normalization for Time Series Forecasting

Dimensionality Reduction Using Similarity-Induced Embeddings

Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning

Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits

Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization

Graph Embedded Extreme Learning Machine

Graph embedded nonparametric mutual information for supervised dimensionality reduction

Human Action Recognition Using Recurrent Bag-of-Features Pooling

Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices

Improving knowledge distillation using unified ensembles of specialized teachers

Improving subspace learning for facial expression recognition using person dependent and geometrically enriched training sets ⬇️

Information Clustering Using Manifold-Based Optimization of the Bag-of-Features Representation

Initializing photonic feed-forward neural networks using auxiliary tasks

K-Anonymity inspired adversarial attack and multiple one-class classification defense

Multiplicative update rules for concurrent nonnegative matrix factorization and maximum margin classification

Neurons With Paraboloid Decision Boundaries for Improved Neural Network Classification Performance

On the optimal class representation in linear discriminant analysis

Online Subclass Knowledge Distillation

Price Trailing for Financial Trading Using Deep Reinforcement Learning

Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning

Projected gradients for subclass discriminant nonnegative subspace learning

Recurrent bag-of-features for visual information analysis

Robust Hypersphere-based Weight Imprinting for Few-Shot Learning

Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data

Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling

Unsupervised Knowledge Transfer Using Similarity Embeddings

Using Deep Learning for price prediction by exploiting stationary limit order book features

View-invariant action recognition based on artificial neural networks

Weighted piecewise LDA for solving the small sample size problem in face verification