A neural network designed to solve the N-Queens Problem. - Jacek Mandziuk; Bohdan Macuk (Biol. Cybern., 1992)

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

Pulsed noise-based stochastic optimization with the Hopfield model. - Jacek Mandziuk (ICNN, 1997)

Experimental Study of Perceptron-Type Local Learning Rule for Hopfield Associative Memory. - Arun K. Jagota; Jacek Mandziuk (Inf. Sci., 1998)

Incremental class learning-an approach to longlife and scalable learning. - Jacek Mandziuk; Lokendra Shastri (IJCNN, 1999)

Improvement of Hopfield associative memory by contour enhancement in library patterns. - Jacek Mandziuk (Neural Parallel Sci. Comput., 1999)

Optimization with the Hopfield network based on correlated noises: Experimental approach. - Jacek Mandziuk (Neurocomputing, 2000)

Chaotic Time Series Prediction with Neural Networks - Comparison of Several Architectures. - Rafal Mikolajczak; Jacek Mandziuk (ECAI, 2002)

Incremental class learning approach and its application to handwritten digit recognition. - Jacek Mandziuk; Lokendra Shastri (Inf. Sci., 2002)

Prediction of natural gas consumption with feed-forward and fuzzy neural networks. - Nguyen Hoang Viet; Jacek Mandziuk (ICANNGA, 2003)

Neural and fuzzy neural networks for natural gas consumption prediction. - Nguyen Hoang Viet; Jacek Mandziuk (NNSP, 2003)

One Day Prediction of NIKKEI Index Considering Information from Other Stock Markets. - Marcin Jaruszewicz; Jacek Mandziuk (ICAISC, 2004)

Temporal Difference Approach to Playing Give-Away Checkers. - Jacek Mandziuk; Daniel Osman (ICAISC, 2004)

Artificial Neural Networks for Solving Double Dummy Bridge Problems. - Krzysztof Mossakowski; Jacek Mandziuk (ICAISC, 2004)

Comparison of TDLeaf(lambda) and TD(lambda) Learning in Game Playing Domain. - Daniel Osman; Jacek Mandziuk (ICONIP, 2004)

Alpha-Beta Search Enhancements with a Real-Value Game-State Evaluation Function. - Jacek Mandziuk; Daniel Osman (J. Int. Comput. Games Assoc., 2004)

Evolution of Heuristics for Give-Away Checkers. - Magdalena Kusiak; Karol Waledzik; Jacek Mandziuk (ICANN (2), 2005)

Neural and Fuzzy Neural Networks in Prediction of Natural Gas Consumption. - Nguyen Hoang Viet; Jacek Mandziuk (Neural Parallel Sci. Comput., 2005)

Neural Networks and the Estimation of Hands' Strength in Contract Bridge. - Krzysztof Mossakowski; Jacek Mandziuk (ICAISC, 2006)

Including Metric Space Topology in Neural Networks Training by Ordering Patterns. - Cezary Dendek; Jacek Mandziuk (ICANN (2), 2006)

Evolutionary-Progressive Method for Multiple Sequence Alignment. - Pawel Kupis; Jacek Mandziuk (CIBCB, 2007)

Example-based Estimation of Hand's Strength in the Game of Bridge with or without Using Explicit Human Knowledge. - Jacek Mandziuk; Krzysztof Mossakowski (CIDM, 2007)

Multiple Sequence Alignment with Evolutionary-Progressive Method. - Pawel Kupis; Jacek Mandziuk (ICANNGA (1), 2007)

Evolutionary Approach to the Game of Checkers. - Magdalena Kusiak; Karol Waledzik; Jacek Mandziuk (ICANNGA (1), 2007)

Neuro-evolutionary approach to stock market prediction. - Jacek Mandziuk; Marcin Jaruszewicz (IJCNN, 2007)

Evolutionary-based heuristic generators for checkers and give-away checkers. - Jacek Mandziuk; Magdalena Kusiak; Karol Waledzik (Expert Syst. J. Knowl. Eng., 2007)

Computational Intelligence in Mind Games. - Jacek Mandziuk (Challenges for Computational Intelligence, 2007)

A Neural Network Classifier of Chess Moves. - Cezary Dendek; Jacek Mandziuk (HIS, 2008)

Improving Performance of a Binary Classifier by Training Set Selection. - Cezary Dendek; Jacek Mandziuk (ICANN (1), 2008)

Some thoughts on using Computational Intelligence methods in classical mind board games. - Jacek Mandziuk (IJCNN, 2008)

Improved Multilabel Classification with Neural Networks. - Rafal Grodzicki; Jacek Mandziuk; Lipo Wang (PPSN, 2008)

Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm. - Farideh Fazayeli; Lipo Wang; Jacek Mandziuk (RSCTC, 2008)

Neural networks compete with expert human players in solving the Double Dummy Bridge Problem. - Jacek Mandziuk; Krzysztof Mossakowski (CIG, 2009)

Probability-Based Distance Function for Distance-Based Classifiers. - Cezary Dendek; Jacek Mandziuk (ICANN (1), 2009)

Classification Based on Combination of Kernel Density Estimators. - Mateusz Kobos; Jacek Mandziuk (ICANN (2), 2009)

"Dead" Chromosomes and Their Elimination in the Neuro-Genetic Stock Index Prediction System. - Jacek Mandziuk; Marcin Jaruszewicz (ICONIP (2), 2009)

Challenges for Computational Intelligence. - Wlodzislaw Duch; Jacek Mandziuk (IEEE Trans. Neural Networks, 2009)

Learning Without Human Expertise: A Case Study of the Double Dummy Bridge Problem. - Krzysztof Mossakowski; Jacek Mandziuk (IEEE Trans. Neural Networks, 2009)

CI in General Game Playing - To Date Achievements and Perspectives. - Karol Waledzik; Jacek Mandziuk (ICAISC (2), 2010)

Classification Based on Multiple-Resolution Data View. - Mateusz Kobos; Jacek Mandziuk (ICANN (3), 2010)

The Layered Learning Method and Its Application to Generation of Evaluation Functions for the Game of Checkers. - Karol Waledzik; Jacek Mandziuk (PPSN (2), 2010)

Knowledge-Free and Learning-Based Methods in Intelligent Game Playing - Jacek Mandziuk (Springer, 2010)

Multigame Playing by Means of UCT Enhanced with Automatically Generated Evaluation Functions. - Karol Waledzik; Jacek Mandziuk (AGI, 2011)

Towards Cognitively Plausible Game Playing Systems. - Jacek Mandziuk (IEEE Comput. Intell. Mag., 2011)

Multiple-resolution classification with combination of density estimators. - Mateusz Kobos; Jacek Mandziuk (Connect. Sci., 2011)

Neuro-genetic system for stock index prediction. - Jacek Mandziuk; Marcin Jaruszewicz (J. Intell. Fuzzy Syst., 2011)

Creating a Personality System for RTS Bots. - Jacek Mandziuk; Przemyslaw Szalaj (Believable Bots, 2012)

Statistically-Induced Kernel Function for Support Vector Machine Classifier. - Cezary Dendek; Jacek Mandziuk (ICAISC (1), 2012)

Bandwidth Selection in Kernel Density Estimators for Multiple-Resolution Classification. - Mateusz Kobos; Jacek Mandziuk (ICAISC (1), 2012)

Human-Like Intuitive Playing in Board Games. - Jacek Mandziuk (ICONIP (2), 2012)

Memetic Input Variable Selection in Neuro-Genetic Prediction System. - Jacek Mandziuk; Marcin Jaruszewicz (SEAL, 2012)

Generic Heuristic Approach to General Game Playing. - Jacek Mandziuk; Maciej Swiechowski (SOFSEM, 2012)

Chopin or not? A memetic approach to music composition. - Jacek Mandziuk; Marcin Goss; Aleksandra Wozniczko (IEEE Congress on Evolutionary Computation, 2013)

Multi-game playing - A challenge for computational intelligence. - Jacek Mandziuk; Yew-Soon Ong; Karol Waledzik (CIHLI, 2013)

Application of Particle Swarm Optimization Algorithm to Dynamic Vehicle Routing Problem. - Michal Okulewicz; Jacek Mandziuk (ICAISC (2), 2013)

Prolog versus specialized logic inference engine in General Game Playing. - Maciej Swiechowski; Jacek Mandziuk (CIG, 2014)

Two-phase multi-swarm PSO and the dynamic vehicle routing problem. - Michal Okulewicz; Jacek Mandziuk (CIHLI, 2014)

Proactive and reactive risk-aware project scheduling. - Karol Waledzik; Jacek Mandziuk; Slawomir Zadrozny (CIHLI, 2014)

A Neuro-memetic System for Music Composing. - Jacek Mandziuk; Aleksandra Wozniczko; Marcin Goss (AIAI, 2014)

Specialized vs. Multi-game Approaches to AI in Games. - Maciej Swiechowski; Jacek Mandziuk (IEEE Conf. on Intelligent Systems (1), 2014)

Self-Adaptation of Playing Strategies in General Game Playing. - Maciej Swiechowski; Jacek Mandziuk (IEEE Trans. Comput. Intell. AI Games, 2014)

An Automatically Generated Evaluation Function in General Game Playing. - Karol Waledzik; Jacek Mandziuk (IEEE Trans. Comput. Intell. AI Games, 2014)

A New Approach to Security Games. - Jan Karwowski; Jacek Mandziuk (ICAISC, 2015)

UCT-Based Approach to Capacitated Vehicle Routing Problem. - Jacek Mandziuk; Cezary Nejman (ICAISC, 2015)

Neuro-evolutionary system for FOREX trading. - Jacek Mandziuk; Piotr Rajkiewicz (CEC, 2016)

Mixed Strategy Extraction from UCT Tree in Security Games. - Jan Karwowski; Jacek Mandziuk (ECAI, 2016)

Simulation-based approach to Vehicle Routing Problem with traffic jams. - Jacek Mandziuk; Maciej Swiechowski (SSCI, 2016)

A memetic approach to vehicle routing problem with dynamic requests. - Jacek Mandziuk; Adam Zychowski (Appl. Soft Comput., 2016)

Fast interpreter for logical reasoning in general game playing. - Maciej Swiechowski; Jacek Mandziuk (J. Log. Comput., 2016)

Specialization of a UCT-Based General Game Playing Program to Single-Player Games. - Maciej Swiechowski; Jacek Mandziuk; Yew-Soon Ong (IEEE Trans. Comput. Intell. AI Games, 2016)

A Hybrid Approach to Parallelization of Monte Carlo Tree Search in General Game Playing. - Maciej Swiechowski; Jacek Mandziuk (Challenging Problems and Solutions in Intelligent Systems, 2016)

The Impact of the Number of Averaged Attacker's Strategies on the Results Quality in Mixed-UCT. - Jan Karwowski; Jacek Mandziuk (ICAISC (2), 2017)

Swarm Intelligence in Solving Stochastic Capacitated Vehicle Routing Problem. - Jacek Mandziuk; Maciej Swiechowski (ICAISC (2), 2017)

A TCART-M - Tuned CARTesian-based error function for multilabel classification with the MLP. - Jacek Mandziuk; Adam Zychowski; Lipo Wang (IJCNN, 2017)

The impact of particular components of the PSO-based algorithm solving the Dynamic Vehicle Routing Problem. - Michal Okulewicz; Jacek Mandziuk (Appl. Soft Comput., 2017)

UCT in Capacitated Vehicle Routing Problem with traffic jams. - Jacek Mandziuk; Maciej Swiechowski (Inf. Sci., 2017)

Curvature-based method for determining the number of clusters. - Yaqian Zhang; Jacek Mandziuk; Hiok Chai Quek; Wooi-Boon Goh (Inf. Sci., 2017)

Guest Editorial Special Issue on Human-Like Intelligence and Robotics. - Min Jiang 005; Jacek Mandziuk; Ben Goertzel; Naoyuki Kubota (IEEE Syst. J., 2017)

Editorial: A Successful Year and Looking Forward to 2017 and Beyond. - Haibo He; Robert Haas; Jun Fu; Barbara Hammer; Daniel W. C. Ho; Fakhri Karray; Dhireesha Kudithipudi; José Antonio Lozano 001; Teresa Bernarda Ludermir; Jacek Mandziuk; Stefano Melacci; Antonio Paiva; et al. (IEEE Trans. Neural Networks Learn. Syst., 2017)

MCTS/UCT in Solving Real-Life Problems. - Jacek Mandziuk (Advances in Data Analysis with Computational Intelligence Methods, 2018)

Solving the Double Dummy Bridge Problem with Shallow Autoencoders. - Jacek Mandziuk; Jakub Suchan (ICONIP (4), 2018)

Applying hybrid Monte Carlo Tree Search methods to Risk-Aware Project Scheduling Problem. - Karol Waledzik; Jacek Mandziuk (Inf. Sci., 2018)

Addressing expensive multi-objective games with postponed preference articulation via memetic co-evolution. - Adam Zychowski; Abhishek Gupta 001; Jacek Mandziuk; Yew-Soon Ong (Knowl. Based Syst., 2018)

A Memetic Approach for Sequential Security Games on a Plane with Moving Targets. - Jan Karwowski; Jacek Mandziuk; Adam Zychowski; Filip Grajek; Bo An 001 (AAAI, 2019)

Stackelberg Equilibrium Approximation in General-Sum Extensive-Form Games with Double-Oracle Sampling Method. - Jan Karwowski; Jacek Mandziuk (AAMAS, 2019)

Who should bid higher, NS or WE, in a given Bridge dealƒ. - Jacek Mandziuk; Jakub Suchan (IJCNN, 2019)

Dimensionality Reduction in Multilabel Classification with Neural Networks. - Jacek Mandziuk; Adam Zychowski (IJCNN, 2019)

DeepIQ: A Human-Inspired AI System for Solving IQ Test Problems. - Jacek Mandziuk; Adam Zychowski (IJCNN, 2019)

A Monte Carlo Tree Search approach to finding efficient patrolling schemes on graphs. - Jan Karwowski; Jacek Mandziuk (Eur. J. Oper. Res., 2019)

A metaheuristic approach to solve Dynamic Vehicle Routing Problem in continuous search space. - Michal Okulewicz; Jacek Mandziuk (Swarm Evol. Comput., 2019)

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

Double-Oracle Sampling Method for Stackelberg Equilibrium Approximation in General-Sum Extensive-Form Games. - Jan Karwowski; Jacek Mandziuk (AAAI, 2020)

Anchoring Theory in Sequential Stackelberg Games. - Jan Karwowski; Jacek Mandziuk; Adam Zychowski (AAMAS, 2020)

A Generic Metaheuristic Approach to Sequential Security Games. - Adam Zychowski; Jacek Mandziuk (AAMAS, 2020)

Biologically Plausible Learning of Text Representation with Spiking Neural Networks. - Marcin Bialas; Marcin Michal Mironczuk; Jacek Mandziuk (PPSN (1), 2020)

A Committee of Convolutional Neural Networks for Image Classification in the Concurrent Presence of Feature and Label Noise. - Stanislaw Kazmierczak; Jacek Mandziuk (PPSN (1), 2020)

Generalized Self-Adapting Particle Swarm Optimization algorithm with archive of samples. - Michal Okulewicz; Mateusz Zaborski; Jacek Mandziuk (CoRR, 2020)

A Committee of Convolutional Neural Networks for Image Classication in the Concurrent Presence of Feature and Label Noise. - Stanislaw Kazmierczak; Jacek Mandziuk (CoRR, 2020)

A Particle Swarm Optimization hyper-heuristic for the Dynamic Vehicle Routing Problem. - Michal Okulewicz; Jacek Mandziuk (CoRR, 2020)

Dynamic Vehicle Routing Problem: A Monte Carlo approach. - Michal Okulewicz; Jacek Mandziuk (CoRR, 2020)

Evolution of Strategies in Sequential Security Games. - Adam Zychowski; Jacek Mandziuk (AAMAS, 2021)

Polar Bear Optimization For Industrial Computed Tomography With Incomplete Data. - Mariusz Pleszczynski; Adam Zielonka; Dawid Polap; Marcin Wozniak; Jacek Mandziuk (CEC, 2021)

Meta-heuristic Algorithm As Feature Selector For Convolutional Neural Networks. - Dawid Polap; Marcin Wozniak; Jacek Mandziuk (CEC, 2021)

Prediction of the Facial Growth Direction is Challenging. - Stanislaw Kazmierczak; Zofia Juszka; Vaska Vandevska-Radunovic; Thomas J. J. Maal; Piotr Fudalej; Jacek Mandziuk (ICONIP (6), 2021)

Towards Human-Level Performance in Solving Double Dummy Bridge Problem. - Szymon Kowalik; Jacek Mandziuk (ICONIP (4), 2021)

Adversarial Defenses via a Mixture of Generators. - Maciej Zelaszczyk; Jacek Mandziuk (ICONIP (5), 2021)

Learning Attacker's Bounded Rationality Model in Security Games. - Adam Zychowski; Jacek Mandziuk (ICONIP (5), 2021)

Duo-LDL method for Label Distribution Learning based on pairwise class dependencies. - Adam Zychowski; Jacek Mandziuk (Appl. Soft Comput., 2021)

Conference Report on 2021 IEEE Congress on Evolutionary Computation (IEEE CEC 2021) [Conference Reports]. - Jacek Mandziuk; Hussein A. Abbass (IEEE Comput. Intell. Mag., 2021)

Prediction of the facial growth direction with Machine Learning methods. - Stanislaw Kazmierczak; Zofia Juszka; Piotr Fudalej; Jacek Mandziuk (CoRR, 2021)

Duel-based Deep Learning system for solving IQ tests. - Paulina Tomaszewska; Adam Zychowski; Jacek Mandziuk (AISTATS, 2022)

Improving LSHADE by means of a pre-screening mechanism. - Mateusz Zaborski; Jacek Mandziuk (GECCO, 2022)

Evolutionary Approach to Melodic Line Harmonization. - Jan Mycka; Adam Zychowski; Jacek Mandziuk (ICAISC (1), 2022)

LQ-R-SHADE: R-SHADE with Quadratic Surrogate Model. - Mateusz Zaborski; Jacek Mandziuk (ICAISC (1), 2022)

Human-Level Melodic Line Harmonization. - Jan Mycka; Adam Zychowski; Jacek Mandziuk (ICCS (1), 2022)

Coevolutionary Approach to Sequential Stackelberg Security Games. - Adam Zychowski; Jacek Mandziuk (ICCS (1), 2022)

Prediction of the Facial Growth Direction: Regression Perspective. - Stanislaw Kazmierczak; Zofia Juszka; Rafal Wojciech Grzeszczuk; Marcin Kurdziel; Vaska Vandevska-Radunovic; Piotr Fudalej; Jacek Mandziuk (ICONIP (7), 2022)

StatMix: Data Augmentation Method that Relies on Image Statistics in Federated Learning. - Dominik Lewy; Jacek Mandziuk; Maria Ganzha; Marcin Paprzycki (ICONIP (4), 2022)

Evolutionary Approach to Security Games with Signaling. - Adam Zychowski; Jacek Mandziuk; Elizabeth Bondi; Aravind Venugopal; Milind Tambe; Balaraman Ravindran (IJCAI, 2022)

Audio-to-Image Cross-Modal Generation. - Maciej Zelaszczyk; Jacek Mandziuk (IJCNN, 2022)

Surrogate-Assisted LSHADE Algorithm Utilizing Recursive Least Squares Filter. - Mateusz Zaborski; Jacek Mandziuk (PPSN (1), 2022)

Self-Adapting Particle Swarm Optimization for continuous black box optimization. - Michal Okulewicz; Mateusz Zaborski; Jacek Mandziuk (Appl. Soft Comput., 2022)

Multidimensional Red Fox meta-heuristic for complex optimization. - Mateusz Zaborski; Marcin Wozniak; Jacek Mandziuk (Appl. Soft Comput., 2022)

Using adversarial images to improve outcomes of federated learning for non-IID data. - Anastasiya Danilenka; Maria Ganzha; Marcin Paprzycki; Jacek Mandziuk (CoRR, 2022)

Spike-Timing-Dependent Plasticity With Activation-Dependent Scaling for Receptive Fields Development. - Marcin Bialas; Jacek Mandziuk (IEEE Trans. Neural Networks Learn. Syst., 2022)

Don't Predict Counterfactual Values, Predict Expected Values Instead. - Jeremiasz Wolosiuk; Maciej Swiechowski; Jacek Mandziuk (AAAI, 2023)

A Filter-Based Feature Selection and Ranking Approach to Enhance Genetic Programming for High-Dimensional Data Analysis. - Mohammad Sadegh Khorshidi; Danial Yazdani; Jacek Mandziuk; Mohammad Reza Nikoo; Amir H. Gandomi (CEC, 2023)

Monte Carlo Tree Search with Metaheuristics. - Jacek Mandziuk; Patryk Walczak (ICAISC (2), 2023)

Theory-Guided Convolutional Neural Network with an Enhanced Water Flow Optimizer. - Xiaofeng Xue; Xiaoling Gong; Jacek Mandziuk; Jun Yao; El-Sayed M. El-Alfy; Jian Wang 010 (ICONIP (1), 2023)

Sequential Stackelberg Games with bounded rationality. - Jan Karwowski; Jacek Mandziuk; Adam Zychowski (Appl. Soft Comput., 2023)

AttentionMix: Data augmentation method that relies on BERT attention mechanism. - Dominik Lewy; Jacek Mandziuk (CoRR, 2023)

A review of emerging research directions in Abstract Visual Reasoning. - Mikolaj Malkinski; Jacek Mandziuk (Inf. Fusion, 2023)

Training CNN Classifiers Solely on Webly Data. - Dominik Lewy; Jacek Mandziuk (J. Artif. Intell. Soft Comput. Res., 2023)

An overview of mixing augmentation methods and augmentation strategies. - Dominik Lewy; Jacek Mandziuk (Artif. Intell. Rev., 2023)

Monte Carlo Tree Search: a review of recent modifications and applications. - Maciej Swiechowski; Konrad Godlewski; Bartosz Sawicki; Jacek Mandziuk (Artif. Intell. Rev., 2023)

Toward human-level tonal and modal melody harmonizations. - Jan Mycka; Adam Zychowski; Jacek Mandziuk (J. Comput. Sci., 2023)

Coevolution of players strategies in security games. - Adam Zychowski; Jacek Mandziuk (J. Comput. Sci., 2023)

Cross-modal text and visual generation: A systematic review. Part 1: Image to text. - Maciej Zelaszczyk; Jacek Mandziuk (Inf. Fusion, 2023)

Duel-based neuroevolutionary method for Stackelberg Security Games with boundedly rational Attacker. - Jacek Mandziuk; Adam Zychowski (Appl. Soft Comput., 2023)

Evaluation of machine learning methods for impostor detection in web applications. - Maciej Grzenda; Stanislaw Kazmierczak; Marcin Luckner; Grzegorz Borowik; Jacek Mandziuk (Expert Syst. Appl., 2023)

One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems. - Mikolaj Malkinski; Jacek Mandziuk (AAAI, 2024)

Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret. - Adam Zychowski; Andrew Perrault; Jacek Mandziuk (AAAI, 2024)

Capitalizing on the Opponent's Uncertainty in Reconnaissance Blind Chess. - Jacek Czupyt; Mikolaj Malkinski; Jacek Mandziuk (CEC, 2024)

Explainable Recognition System for Computer-Modified Face Photos. - Adrian Kaminski; Karol Degórski; Stanislaw Kazmierczak; Jacek Mandziuk (ICAISC (2), 2024)

Identification of Mislabelled Images with Data Augmentation. - Jakub Koziel; Patryk Tomaszewski; Stanislaw Kazmierczak; Jacek Mandziuk (ICAISC (2), 2024)

AttentionMix: A Guided Text Data Augmentation Method Relying on Attention. - Dominik Lewy; Jacek Mandziuk (ICONIP (9), 2024)

Text-to-Image Cross-Modal Generation: A Systematic Review. - Maciej Zelaszczyk; Jacek Mandziuk (CoRR, 2024)

Interpretable Multi-task Learning with Shared Variable Embeddings. - Maciej Zelaszczyk; Jacek Mandziuk (CoRR, 2024)

Generalization and Knowledge Transfer in Abstract Visual Reasoning Models. - Mikolaj Malkinski; Jacek Mandziuk (CoRR, 2024)

A Unified View of Abstract Visual Reasoning Problems. - Mikolaj Malkinski; Jacek Mandziuk (CoRR, 2024)

Bootstrap Sampling Rate Greater than 1.0 May Improve Random Forest Performance. - Stanislaw Kazmierczak; Jacek Mandziuk (CoRR, 2024)

Reasoning Limitations of Multimodal Large Language Models. A case study of Bongard Problems. - Mikolaj Malkinski; Szymon Pawlonka; Jacek Mandziuk (CoRR, 2024)

Predicting optical parameters of nanostructured optical fibers using machine learning algorithms. - Stanislaw Kazmierczak; Rafal Kasztelanic; Ryszard Buczynski; Jacek Mandziuk (Eng. Appl. Artif. Intell., 2024)

Theory guided Lagrange programming neural network for subsurface flow problems. - Jian Wang 010; Xiaofeng Xue; Zhixue Sun; Jun Yao; El-Sayed M. El-Alfy; Kai Zhang 029; Witold Pedrycz; Jacek Mandziuk (Eng. Appl. Artif. Intell., 2024)

Embedded feature selection approach based on TSK fuzzy system with sparse rule base for high-dimensional classification problems. - Xiaoling Gong; Jian Wang 010; Qilin Ren; Kai Zhang 029; El-Sayed M. El-Alfy; Jacek Mandziuk (Knowl. Based Syst., 2024)

Leveraging spiking neural networks for topic modeling. - Marcin Bialas; Marcin Michal Mironczuk; Jacek Mandziuk (Neural Networks, 2024)

ReModels: Quantile Regression Averaging models. - Grzegorz Zakrzewski; Kacper Skonieczka; Mikolaj Malkinski; Jacek Mandziuk (SoftwareX, 2024)

Multi-Label Contrastive Learning for Abstract Visual Reasoning. - Mikolaj Malkinski; Jacek Mandziuk (IEEE Trans. Neural Networks Learn. Syst., 2024)

An interpretable neural network for robustly determining the location and number of cluster centers. - Xuetao Xie; Yi-Fei Pu; Huaqing Zhang 002; Jacek Mandziuk; El-Sayed M. El-Alfy; Jian Wang 010 (Int. J. Mach. Learn. Cybern., 2024)

Cultivating Archipelago of Forests: Evolving Robust Decision Trees Through Island Coevolution. - Adam Zychowski; Andrew Perrault; Jacek Mandziuk (AAAI, 2025)

Augmented Decision Spaces for Stackelberg Security Games: Sparse evolution begets scalability. - Adam Zychowski; Abhishek Gupta 001; Yew Soon Ong; Jacek Mandziuk (GECCO, 2025)

Diversity-driven Cooperating Portfolio of Metaheuristic Algorithms. - Adam Zychowski; Xin Yao 001; Jacek Mandziuk (GECCO, 2025)

Constrained Hybrid Metaheuristic Algorithm for Probabilistic Neural Networks learning. - Piotr A. Kowalski; Szymon Kucharczyk; Jacek Mandziuk (Inf. Sci., 2025)

Interpretable inverse iteration mean shift networks for clustering tasks. - Bingjie Zhang 001; Zihan Yu; Jian Wang 010; Maciej Zelaszczyk; Yaqian Zhang; Jacek Mandziuk; Chao Zhang 017; Witold Pedrycz (Neural Networks, 2025)

Artificial intelligence in music: recent trends and challenges. - Jan Mycka; Jacek Mandziuk (Neural Comput. Appl., 2025)

Modified Adaptive Tree-Structured Parzen Estimator for Hyperparameter Optimization. - Szymon Sieradzki; Jacek Mandziuk (CoRR, 2025)

Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks. - Mikolaj Malkinski; Jacek Mandziuk (CoRR, 2025)

Unsupervised Feature Selection for High-Order Embedding Learning and Sparse Learning. - Zebiao Hu; Jian Wang 010; Jacek Mandziuk; Zhongxin Ren; Nikhil R. Pal (IEEE Trans. Cybern., 2025)

Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices. - Mikolaj Malkinski; Jacek Mandziuk (ACM Comput. Surv., 2025)