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09/20/2023
AttentionMix: Data augmentation method that relies on BERT attention mechanism
The Mixup method has proven to be a powerful data augmentation technique...
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07/08/2022
StatMix: Data augmentation method that relies on image statistics in federated learning
Availability of large amount of annotated data is one of the pillars of ...
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06/16/2022
Using adversarial images to improve outcomes of federated learning for non-IID data
One of the important problems in federated learning is how to deal with ...
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04/29/2022
Evolutionary Approach to Security Games with Signaling
Green Security Games have become a popular way to model scenarios involv...
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04/08/2022
Improving LSHADE by means of a pre-screening mechanism
Evolutionary algorithms have proven to be highly effective in continuous...
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02/21/2022
A Review of Emerging Research Directions in Abstract Visual Reasoning
Abstract Visual Reasoning (AVR) problems are commonly used to approximat...
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01/28/2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices
Abstract visual reasoning (AVR) domain encompasses problems solving whic...
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10/05/2021
Adversarial defenses via a mixture of generators
In spite of the enormous success of neural networks, adversarial example...
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09/27/2021
Audio-to-Image Cross-Modal Generation
Cross-modal representation learning allows to integrate information from...
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09/27/2021
Learning Attacker's Bounded Rationality Model in Security Games
The paper proposes a novel neuroevolutionary method (NESG) for calculati...
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07/21/2021
An overview of mixing augmentation methods and augmentation strategies
Deep Convolutional Neural Networks have made an incredible progress in m...
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06/19/2021
Prediction of the facial growth direction with Machine Learning methods
First attempts of prediction of the facial growth (FG) direction were ma...
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03/08/2021
Monte Carlo Tree Search: A Review of Recent Modifications and Applications
Monte Carlo Tree Search (MCTS) is a powerful approach to designing game-...
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12/03/2020
Multi-Label Contrastive Learning for Abstract Visual Reasoning
For a long time the ability to solve abstract reasoning tasks was consid...
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06/26/2020
Biologically Plausible Learning of Text Representation with Spiking Neural Networks
This study proposes a novel biologically plausible mechanism for generat...
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06/15/2020
Dynamic Vehicle Routing Problem: A Monte Carlo approach
In this work we solve the Dynamic Vehicle Routing Problem (DVRP). DVRP i...
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06/15/2020
A Particle Swarm Optimization hyper-heuristic for the Dynamic Vehicle Routing Problem
This paper presents a method for choosing a Particle Swarm Optimization ...
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04/19/2020
A Committee of Convolutional Neural Networks for Image Classication in the Concurrent Presence of Feature and Label Noise
Image classification has become a ubiquitous task. Models trained on goo...
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02/28/2020
Generalized Self-Adapting Particle Swarm Optimization algorithm with archive of samples
In this paper we enhance Generalized Self-Adapting Particle Swarm Optimi...
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12/07/2019
Anchoring Theory in Sequential Stackelberg Games
An underlying assumption of Stackelberg Games (SGs) is perfect rationali...
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11/13/2019
A Generic Metaheuristic Approach to Sequential Security Games
The paper introduces a generic approach to solving Sequential Security G...
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09/09/2019
Double-oracle sampling method for Stackelberg Equilibrium approximation in general-sum extensive-form games
The paper presents a new method for approximating Strong Stackelberg Equ...
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11/17/2017