Jacek Mandziuk

Orcid: 0000-0003-0947-028X

According to our database1, Jacek Mandziuk authored at least 157 papers between 1992 and 2024.

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Bibliography

2024
An interpretable neural network for robustly determining the location and number of cluster centers.
Int. J. Mach. Learn. Cybern., April, 2024

Multi-Label Contrastive Learning for Abstract Visual Reasoning.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

ReModels: Quantile Regression Averaging models.
SoftwareX, 2024

Leveraging spiking neural networks for topic modeling.
Neural Networks, 2024

Embedded feature selection approach based on TSK fuzzy system with sparse rule base for high-dimensional classification problems.
Knowl. Based Syst., 2024

Theory guided Lagrange programming neural network for subsurface flow problems.
Eng. Appl. Artif. Intell., 2024

Predicting optical parameters of nanostructured optical fibers using machine learning algorithms.
Eng. Appl. Artif. Intell., 2024

Reasoning Limitations of Multimodal Large Language Models. A case study of Bongard Problems.
CoRR, 2024

Bootstrap Sampling Rate Greater than 1.0 May Improve Random Forest Performance.
CoRR, 2024

A Unified View of Abstract Visual Reasoning Problems.
CoRR, 2024

Generalization and Knowledge Transfer in Abstract Visual Reasoning Models.
CoRR, 2024

Interpretable Multi-task Learning with Shared Variable Embeddings.
CoRR, 2024

Text-to-Image Cross-Modal Generation: A Systematic Review.
CoRR, 2024

Capitalizing on the Opponent's Uncertainty in Reconnaissance Blind Chess.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Evaluation of machine learning methods for impostor detection in web applications.
Expert Syst. Appl., November, 2023

Duel-based neuroevolutionary method for Stackelberg Security Games with boundedly rational Attacker.
Appl. Soft Comput., October, 2023

Cross-modal text and visual generation: A systematic review. Part 1: Image to text.
Inf. Fusion, May, 2023

Coevolution of players strategies in security games.
J. Comput. Sci., April, 2023

Toward human-level tonal and modal melody harmonizations.
J. Comput. Sci., March, 2023

Monte Carlo Tree Search: a review of recent modifications and applications.
Artif. Intell. Rev., March, 2023

An overview of mixing augmentation methods and augmentation strategies.
Artif. Intell. Rev., March, 2023

Training CNN Classifiers Solely on Webly Data.
J. Artif. Intell. Soft Comput. Res., 2023

A review of emerging research directions in Abstract Visual Reasoning.
Inf. Fusion, 2023

AttentionMix: Data augmentation method that relies on BERT attention mechanism.
CoRR, 2023

Sequential Stackelberg Games with bounded rationality.
Appl. Soft Comput., 2023

Theory-Guided Convolutional Neural Network with an Enhanced Water Flow Optimizer.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Monte Carlo Tree Search with Metaheuristics.
Proceedings of the Artificial Intelligence and Soft Computing, 2023

A Filter-Based Feature Selection and Ranking Approach to Enhance Genetic Programming for High-Dimensional Data Analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

Don't Predict Counterfactual Values, Predict Expected Values Instead.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Spike-Timing-Dependent Plasticity With Activation-Dependent Scaling for Receptive Fields Development.
IEEE Trans. Neural Networks Learn. Syst., 2022

Using adversarial images to improve outcomes of federated learning for non-IID data.
CoRR, 2022

Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices.
CoRR, 2022

Multidimensional Red Fox meta-heuristic for complex optimization.
Appl. Soft Comput., 2022

Self-Adapting Particle Swarm Optimization for continuous black box optimization.
Appl. Soft Comput., 2022

Surrogate-Assisted LSHADE Algorithm Utilizing Recursive Least Squares Filter.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Audio-to-Image Cross-Modal Generation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Evolutionary Approach to Security Games with Signaling.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

StatMix: Data Augmentation Method that Relies on Image Statistics in Federated Learning.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Prediction of the Facial Growth Direction: Regression Perspective.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Coevolutionary Approach to Sequential Stackelberg Security Games.
Proceedings of the Computational Science - ICCS 2022, 2022

Human-Level Melodic Line Harmonization.
Proceedings of the Computational Science - ICCS 2022, 2022

LQ-R-SHADE: R-SHADE with Quadratic Surrogate Model.
Proceedings of the Artificial Intelligence and Soft Computing, 2022

Evolutionary Approach to Melodic Line Harmonization.
Proceedings of the Artificial Intelligence and Soft Computing, 2022

Improving LSHADE by means of a pre-screening mechanism.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Duel-based Deep Learning system for solving IQ tests.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Prediction of the facial growth direction with Machine Learning methods.
CoRR, 2021

Conference Report on 2021 IEEE Congress on Evolutionary Computation (IEEE CEC 2021) [Conference Reports].
IEEE Comput. Intell. Mag., 2021

Duo-LDL method for Label Distribution Learning based on pairwise class dependencies.
Appl. Soft Comput., 2021

Learning Attacker's Bounded Rationality Model in Security Games.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Adversarial Defenses via a Mixture of Generators.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Towards Human-Level Performance in Solving Double Dummy Bridge Problem.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Prediction of the Facial Growth Direction is Challenging.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Meta-heuristic Algorithm As Feature Selector For Convolutional Neural Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Polar Bear Optimization For Industrial Computed Tomography With Incomplete Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Evolution of Strategies in Sequential Security Games.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Dynamic Vehicle Routing Problem: A Monte Carlo approach.
CoRR, 2020

A Particle Swarm Optimization hyper-heuristic for the Dynamic Vehicle Routing Problem.
CoRR, 2020

A Committee of Convolutional Neural Networks for Image Classication in the Concurrent Presence of Feature and Label Noise.
CoRR, 2020

Generalized Self-Adapting Particle Swarm Optimization algorithm with archive of samples.
CoRR, 2020

A Committee of Convolutional Neural Networks for Image Classification in the Concurrent Presence of Feature and Label Noise.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Biologically Plausible Learning of Text Representation with Spiking Neural Networks.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

A Generic Metaheuristic Approach to Sequential Security Games.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Anchoring Theory in Sequential Stackelberg Games.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Double-Oracle Sampling Method for Stackelberg Equilibrium Approximation in General-Sum Extensive-Form Games.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
New Shades of the Vehicle Routing Problem: Emerging Problem Formulations and Computational Intelligence Solution Methods.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

A metaheuristic approach to solve Dynamic Vehicle Routing Problem in continuous search space.
Swarm Evol. Comput., 2019

A Monte Carlo Tree Search approach to finding efficient patrolling schemes on graphs.
Eur. J. Oper. Res., 2019

DeepIQ: A Human-Inspired AI System for Solving IQ Test Problems.
Proceedings of the International Joint Conference on Neural Networks, 2019

Dimensionality Reduction in Multilabel Classification with Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

Who should bid higher, NS or WE, in a given Bridge dealƒ.
Proceedings of the International Joint Conference on Neural Networks, 2019

Stackelberg Equilibrium Approximation in General-Sum Extensive-Form Games with Double-Oracle Sampling Method.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

A Memetic Approach for Sequential Security Games on a Plane with Moving Targets.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Addressing expensive multi-objective games with postponed preference articulation via memetic co-evolution.
Knowl. Based Syst., 2018

Applying hybrid Monte Carlo Tree Search methods to Risk-Aware Project Scheduling Problem.
Inf. Sci., 2018

Solving the Double Dummy Bridge Problem with Shallow Autoencoders.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

MCTS/UCT in Solving Real-Life Problems.
Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018

2017
Editorial: A Successful Year and Looking Forward to 2017 and Beyond.
IEEE Trans. Neural Networks Learn. Syst., 2017

Guest Editorial Special Issue on Human-Like Intelligence and Robotics.
IEEE Syst. J., 2017

Curvature-based method for determining the number of clusters.
Inf. Sci., 2017

UCT in Capacitated Vehicle Routing Problem with traffic jams.
Inf. Sci., 2017

The impact of particular components of the PSO-based algorithm solving the Dynamic Vehicle Routing Problem.
Appl. Soft Comput., 2017

A TCART-M - Tuned CARTesian-based error function for multilabel classification with the MLP.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Swarm Intelligence in Solving Stochastic Capacitated Vehicle Routing Problem.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

The Impact of the Number of Averaged Attacker's Strategies on the Results Quality in Mixed-UCT.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

2016
A Hybrid Approach to Parallelization of Monte Carlo Tree Search in General Game Playing.
Proceedings of the Challenging Problems and Solutions in Intelligent Systems, 2016

Specialization of a UCT-Based General Game Playing Program to Single-Player Games.
IEEE Trans. Comput. Intell. AI Games, 2016

Fast interpreter for logical reasoning in general game playing.
J. Log. Comput., 2016

A memetic approach to vehicle routing problem with dynamic requests.
Appl. Soft Comput., 2016

Simulation-based approach to Vehicle Routing Problem with traffic jams.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Mixed Strategy Extraction from UCT Tree in Security Games.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Neuro-evolutionary system for FOREX trading.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
UCT-Based Approach to Capacitated Vehicle Routing Problem.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

A New Approach to Security Games.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

2014
An Automatically Generated Evaluation Function in General Game Playing.
IEEE Trans. Comput. Intell. AI Games, 2014

Self-Adaptation of Playing Strategies in General Game Playing.
IEEE Trans. Comput. Intell. AI Games, 2014

Specialized vs. Multi-game Approaches to AI in Games.
Proceedings of the Intelligent Systems'2014, 2014

A Neuro-memetic System for Music Composing.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014

Proactive and reactive risk-aware project scheduling.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence, 2014

Two-phase multi-swarm PSO and the dynamic vehicle routing problem.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence, 2014

Prolog versus specialized logic inference engine in General Game Playing.
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

2013
Application of Particle Swarm Optimization Algorithm to Dynamic Vehicle Routing Problem.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

Multi-game playing - A challenge for computational intelligence.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence, 2013

Chopin or not? A memetic approach to music composition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Generic Heuristic Approach to General Game Playing.
Proceedings of the SOFSEM 2012: Theory and Practice of Computer Science, 2012

Memetic Input Variable Selection in Neuro-Genetic Prediction System.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

Human-Like Intuitive Playing in Board Games.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Bandwidth Selection in Kernel Density Estimators for Multiple-Resolution Classification.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

Statistically-Induced Kernel Function for Support Vector Machine Classifier.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

Creating a Personality System for RTS Bots.
Proceedings of the Believable Bots, 2012

2011
Neuro-genetic system for stock index prediction.
J. Intell. Fuzzy Syst., 2011

Multiple-resolution classification with combination of density estimators.
Connect. Sci., 2011

Towards Cognitively Plausible Game Playing Systems.
IEEE Comput. Intell. Mag., 2011

Multigame Playing by Means of UCT Enhanced with Automatically Generated Evaluation Functions.
Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

2010
Knowledge-Free and Learning-Based Methods in Intelligent Game Playing
Studies in Computational Intelligence 276, Springer, ISBN: 978-3-642-11677-3, 2010

The <i>Layered Learning</i> Method and Its Application to Generation of Evaluation Functions for the Game of Checkers.
Proceedings of the Parallel Problem Solving from Nature, 2010

Classification Based on Multiple-Resolution Data View.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

CI in General Game Playing - To Date Achievements and Perspectives.
Proceedings of the Artifical Intelligence and Soft Computing, 2010

2009
Learning Without Human Expertise: A Case Study of the Double Dummy Bridge Problem.
IEEE Trans. Neural Networks, 2009

Challenges for Computational Intelligence.
IEEE Trans. Neural Networks, 2009

"Dead" Chromosomes and Their Elimination in the Neuro-Genetic Stock Index Prediction System.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Classification Based on Combination of Kernel Density Estimators.
Proceedings of the Artificial Neural Networks, 2009

Probability-Based Distance Function for Distance-Based Classifiers.
Proceedings of the Artificial Neural Networks, 2009

Neural networks compete with expert human players in solving the Double Dummy Bridge Problem.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, 2009

2008
Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm.
Proceedings of the Rough Sets and Current Trends in Computing, 2008

Improved Multilabel Classification with Neural Networks.
Proceedings of the Parallel Problem Solving from Nature, 2008

Some thoughts on using Computational Intelligence methods in classical mind board games.
Proceedings of the International Joint Conference on Neural Networks, 2008

Improving Performance of a Binary Classifier by Training Set Selection.
Proceedings of the Artificial Neural Networks, 2008

A Neural Network Classifier of Chess Moves.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007
Computational Intelligence in Mind Games.
Proceedings of the Challenges for Computational Intelligence, 2007

Evolutionary-based heuristic generators for checkers and give-away checkers.
Expert Syst. J. Knowl. Eng., 2007

Neuro-evolutionary approach to stock market prediction.
Proceedings of the International Joint Conference on Neural Networks, 2007

Evolutionary Approach to the Game of Checkers.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Multiple Sequence Alignment with Evolutionary-Progressive Method.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Example-based Estimation of Hand's Strength in the Game of Bridge with or without Using Explicit Human Knowledge.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

Evolutionary-Progressive Method for Multiple Sequence Alignment.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007

2006
Including Metric Space Topology in Neural Networks Training by Ordering Patterns.
Proceedings of the Artificial Neural Networks, 2006

Neural Networks and the Estimation of Hands' Strength in Contract Bridge.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005
Neural and Fuzzy Neural Networks in Prediction of Natural Gas Consumption.
Neural Parallel Sci. Comput., 2005

Evolution of Heuristics for Give-Away Checkers.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004
Alpha-Beta Search Enhancements with a Real-Value Game-State Evaluation Function.
J. Int. Comput. Games Assoc., 2004

Comparison of TDLeaf(lambda) and TD(lambda) Learning in Game Playing Domain.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Artificial Neural Networks for Solving Double Dummy Bridge Problems.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Temporal Difference Approach to Playing Give-Away Checkers.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

One Day Prediction of NIKKEI Index Considering Information from Other Stock Markets.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

2003
Neural and fuzzy neural networks for natural gas consumption prediction.
Proceedings of the NNSP 2003, 2003

Prediction of natural gas consumption with feed-forward and fuzzy neural networks.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 2003

2002
Incremental class learning approach and its application to handwritten digit recognition.
Inf. Sci., 2002

Chaotic Time Series Prediction with Neural Networks - Comparison of Several Architectures.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2000
Optimization with the Hopfield network based on correlated noises: Experimental approach.
Neurocomputing, 2000

1999
Improvement of Hopfield associative memory by contour enhancement in library patterns.
Neural Parallel Sci. Comput., 1999

Incremental class learning-an approach to longlife and scalable learning.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Experimental Study of Perceptron-Type Local Learning Rule for Hopfield Associative Memory.
Inf. Sci., 1998

1997
Pulsed noise-based stochastic optimization with the Hopfield model.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1995
Solving the N-Queens problem with a binary Hopfield-type network.
Biol. Cybern., 1995

1992
A neural network designed to solve the N-Queens Problem.
Biol. Cybern., 1992


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