Jacek Mandziuk

发表

Including Metric Space Topology in Neural Networks Training by Ordering Patterns

Cezary Dendek, Jacek Mandziuk, 2006, ICANN.

Neuro-genetic system for stock index prediction

Jacek Mandziuk, Marcin Jaruszewicz, J. Mańdziuk, 2011, J. Intell. Fuzzy Syst..

Optimization with the Hopfield network based on correlated noises: Experimental approach

Jacek Mandziuk, 2000, Neurocomputing.

Neuro-evolutionary approach to stock market prediction

Jacek Mandziuk, Marcin Jaruszewicz, 2007, 2007 International Joint Conference on Neural Networks.

Proactive and reactive risk-aware project scheduling

Slawomir Zadrozny, Jacek Mandziuk, Karol Waledzik, 2014, 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI).

Incremental class learning approach and its application to handwritten digit recognition

Lokendra Shastri, Jacek Mandziuk, L. Shastri, 2002, Inf. Sci..

Mixed Strategy Extraction from UCT Tree in Security Games

Jacek Mandziuk, Jan Karwowski, J. Mańdziuk, 2016, ECAI.

UCT in Capacitated Vehicle Routing Problem with traffic jams

Maciej Swiechowski, Jacek Mandziuk, J. Mańdziuk, 2017, Inf. Sci..

Swarm Intelligence in Solving Stochastic Capacitated Vehicle Routing Problem

Maciej Swiechowski, Jacek Mandziuk, 2017, ICAISC.

Prediction of natural gas consumption with feed-forward and fuzzy neural networks

Nguyen Hoang Viet, Jacek Mandziuk, N. H. Viet, 2003, ICANNGA.

Improvement of Hopfield associative memory by contour enhancement in library patterns

Jacek Mandziuk, J. Mańdziuk, 1999, Neural Parallel Sci. Comput..

Curvature-based method for determining the number of clusters

Hiok Chai Quek, Wooi-Boon Goh, Jacek Mandziuk, 2017, Inf. Sci..

Evolutionary-based heuristic generators for checkers and give-away checkers

Jacek Mandziuk, Karol Waledzik, Magdalena Kusiak, 2007, Expert Syst. J. Knowl. Eng..

MCTS/UCT in Solving Real-Life Problems

Jacek Mandziuk, J. Mańdziuk, 2018, Advances in Data Analysis with Computational Intelligence Methods.

Guest Editorial Special Issue on Human-Like Intelligence and Robotics

Ben Goertzel, Naoyuki Kubota, Min Jiang, 2017, IEEE Syst. J..

Evolution of Heuristics for Give-Away Checkers

Jacek Mandziuk, Karol Waledzik, Magdalena Kusiak, 2005, ICANN.

Addressing Expensive Multi-objective Games with Postponed Preference Articulation via Memetic Co-evolution

Yew-Soon Ong, Jacek Mandziuk, Abhishek Gupta, 2017, Knowl. Based Syst..

Fast interpreter for logical reasoning in general game playing

Maciej Swiechowski, Jacek Mandziuk, J. Mańdziuk, 2016, J. Log. Comput..

Neural and Fuzzy Neural Networks in Prediction of Natural Gas Consumption

Nguyen Hoang Viet, Jacek Mandziuk, N. H. Viet, 2005, Neural Parallel Sci. Comput..

A Neural Network Classifier of Chess Moves

Cezary Dendek, Jacek Mandziuk, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Multiple-resolution classification with combination of density estimators

Jacek Mandziuk, Mateusz Kobos, J. Mańdziuk, 2011, Connect. Sci..

Temporal Difference Approach to Playing Give-Away Checkers

Daniel Osman, Jacek Mandziuk, 2004, ICAISC.

Human-Like Intuitive Playing in Board Games

Jacek Mandziuk, J. Mańdziuk, 2012, ICONIP.

Alpha-Beta Search Enhancements with a Real-Value Game-State Evaluation Function

Daniel Osman, Jacek Mandziuk, 2004, J. Int. Comput. Games Assoc..

Prolog versus specialized logic inference engine in General Game Playing

Maciej Swiechowski, Jacek Mandziuk, 2014, 2014 IEEE Conference on Computational Intelligence and Games.

Multigame Playing by Means of UCT Enhanced with Automatically Generated Evaluation Functions

Jacek Mandziuk, Karol Waledzik, J. Mańdziuk, 2011, AGI.

Solving the N-Queens problem with a binary Hopfield-type network

Jacek Mandziuk, 2004, Biological Cybernetics.

Classification Based on Combination of Kernel Density Estimators

Jacek Mandziuk, Mateusz Kobos, J. Mańdziuk, 2009, ICANN.

Chaotic Time Series Prediction with Neural Networks - Comparison of Several Architectures

Rafal Mikolajczak, Jacek Mandziuk, 2002, ECAI.

UCT-Based Approach to Capacitated Vehicle Routing Problem

Jacek Mandziuk, Cezary Nejman, J. Mańdziuk, 2015, ICAISC.

Stackelberg Equilibrium Approximation in General-Sum Extensive-Form Games with Double-Oracle Sampling Method

Jacek Mandziuk, Jan Karwowski, J. Mańdziuk, 2019, AAMAS.

Neural networks, recognition based on differences

Jacek Mandziuk, 1993, International Commission for Optics.

Improved Multilabel Classification with Neural Networks

Lipo Wang, Jacek Mandziuk, Rafal Grodzicki, 2008, PPSN.

Evolutionary Approach to the Game of Checkers

Jacek Mandziuk, Karol Waledzik, Magdalena Kusiak, 2007, ICANNGA.

Specialization of a UCT-Based General Game Playing Program to Single-Player Games

Yew-Soon Ong, Maciej Swiechowski, Jacek Mandziuk, 2016, IEEE Transactions on Computational Intelligence and AI in Games.

A Memetic Approach for Sequential Security Games on a Plane with Moving Targets

Bo An, Jacek Mandziuk, Jan Karwowski, 2019, AAAI.

Two-phase multi-swarm PSO and the dynamic vehicle routing problem

Jacek Mandziuk, Michal Okulewicz, 2014, 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI).

A memetic approach to vehicle routing problem with dynamic requests

Jacek Mandziuk, Adam Zychowski, J. Mańdziuk, 2016, Appl. Soft Comput..

A neural network designed to solve the N-Queens Problem

Jacek Mandziuk, Bohdan Macuk, 2004, Biological Cybernetics.

The Impact of the Number of Averaged Attacker's Strategies on the Results Quality in Mixed-UCT

Jacek Mandziuk, Jan Karwowski, 2017, ICAISC.

A metaheuristic approach to solve Dynamic Vehicle Routing Problem in continuous search space

Jacek Mandziuk, Michal Okulewicz, J. Mańdziuk, 2019, Swarm Evol. Comput..

A Neuro-memetic System for Music Composing

Jacek Mandziuk, Aleksandra Wozniczko, Marcin Goss, 2014, AIAI.

Neural networks compete with expert human players in solving the Double Dummy Bridge Problem

Jacek Mandziuk, Krzysztof Mossakowski, 2009, 2009 IEEE Symposium on Computational Intelligence and Games.

Artificial Neural Networks for Solving Double Dummy Bridge Problems

Jacek Mandziuk, Krzysztof Mossakowski, J. Mańdziuk, 2004, ICAISC.

Multiple Sequence Alignment with Evolutionary-Progressive Method

Jacek Mandziuk, Pawel Kupis, 2007, ICANNGA.

Memetic Input Variable Selection in Neuro-Genetic Prediction System

Jacek Mandziuk, Marcin Jaruszewicz, 2012, SEAL.

Application of Particle Swarm Optimization Algorithm to Dynamic Vehicle Routing Problem

Jacek Mandziuk, Michal Okulewicz, J. Mańdziuk, 2013, ICAISC.

Neuro-evolutionary system for FOREX trading

Jacek Mandziuk, Piotr Rajkiewicz, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Incremental class learning-an approach to longlife and scalable learning

Lokendra Shastri, Jacek Mandziuk, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Statistically-Induced Kernel Function for Support Vector Machine Classifier

Cezary Dendek, Jacek Mandziuk, 2012, ICAISC.

Neural and fuzzy neural networks for natural gas consumption prediction

Nguyen Hoang Viet, Jacek Mandziuk, N. H. Viet, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

Example-based Estimation of Hand's Strength in the Game of Bridge with or without Using Explicit Human Knowledge

Jacek Mandziuk, Krzysztof Mossakowski, J. Mańdziuk, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

Chopin or not? A memetic approach to music composition

Jacek Mandziuk, Aleksandra Wozniczko, Marcin Goss, 2013, 2013 IEEE Congress on Evolutionary Computation.

Neural Networks and the Estimation of Hands' Strength in Contract Bridge

Jacek Mandziuk, Krzysztof Mossakowski, J. Mańdziuk, 2006, ICAISC.

Knowledge-Free and Learning-Based Methods in Intelligent Game Playing

Jacek Mandziuk, J. Mańdziuk, 2010, Studies in Computational Intelligence.

Creating a Personality System for RTS Bots

Jacek Mandziuk, Przemyslaw Szalaj, 2012, Believable Bots.

Specialized vs. Multi-game Approaches to AI in Games

Maciej Swiechowski, Jacek Mandziuk, 2014, IEEE Conf. on Intelligent Systems.

Solving the Double Dummy Bridge Problem with Shallow Autoencoders

Jacek Mandziuk, Jakub Suchan, J. Mańdziuk, 2018, ICONIP.

A Hybrid Approach to Parallelization of Monte Carlo Tree Search in General Game Playing

Maciej Swiechowski, Jacek Mandziuk, J. Mańdziuk, 2016, Challenging Problems and Solutions in Intelligent Systems.

A New Approach to Security Games

Jacek Mandziuk, Jan Karwowski, J. Mańdziuk, 2015, ICAISC.

Computational Intelligence in Mind Games

Jacek Mandziuk, J. Mańdziuk, 2007, Challenges for Computational Intelligence.

The impact of particular components of the PSO-based algorithm solving the Dynamic Vehicle Routing Problem

Jacek Mandziuk, Michal Okulewicz, J. Mańdziuk, 2017, Appl. Soft Comput..

Learning Without Human Expertise: A Case Study of the Double Dummy Bridge Problem

Jacek Mandziuk, Krzysztof Mossakowski, J. Mańdziuk, 2009, IEEE Transactions on Neural Networks.

Applying hybrid Monte Carlo Tree Search methods to Risk-Aware Project Scheduling Problem

Jacek Mandziuk, Karol Waledzik, J. Mańdziuk, 2017, Inf. Sci..

A Monte Carlo Tree Search approach to finding efficient patrolling schemes on graphs

Jacek Mandziuk, Jan Karwowski, J. Mańdziuk, 2019, Eur. J. Oper. Res..

Double-oracle sampling method for Stackelberg Equilibrium approximation in general-sum extensive-form games

Jacek Mandziuk, Jan Karwowski, 2020, AAAI.

Towards Cognitively Plausible Game Playing Systems

Jacek Mandziuk, J. Mańdziuk, 2011, IEEE Computational Intelligence Magazine.

Improving Performance of a Binary Classifier by Training Set Selection

Cezary Dendek, Jacek Mandziuk, 2008, ICANN.

2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence, CIHLI 2013, Singapore, April 16-19, 2013

James T. Graham, Slawomir Zadrozny, Laxmi R. Iyer, 2013, CIHLI.

A TCART-M — Tuned CARTesian-based error function for multilabel classification with the MLP

Lipo Wang, Jacek Mandziuk, Adam Zychowski, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Experimental Study of Perceptron-Type Local Learning Rule for Hopfield Associative Memory

Jacek Mandziuk, Arun K. Jagota, 1998, Inf. Sci..

Bandwidth Selection in Kernel Density Estimators for Multiple-Resolution Classification

Jacek Mandziuk, Mateusz Kobos, J. Mańdziuk, 2012, ICAISC.

Multi-game playing — A challenge for computational intelligence

Yew-Soon Ong, Jacek Mandziuk, Karol Waledzik, 2013, 2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI).

CI in General Game Playing - To Date Achievements and Perspectives

Jacek Mandziuk, Karol Waledzik, 2010, ICAISC.

Evolutionary-Progressive Method for Multiple Sequence Alignment

Jacek Mandziuk, Pawel Kupis, 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Classification Based on Multiple-Resolution Data View

Jacek Mandziuk, Mateusz Kobos, J. Mańdziuk, 2010, ICANN.

Generic Heuristic Approach to General Game Playing

Maciej Swiechowski, Jacek Mandziuk, 2012, SOFSEM.

Probability-Based Distance Function for Distance-Based Classifiers

Cezary Dendek, Jacek Mandziuk, 2009, ICANN.

"Dead" Chromosomes and Their Elimination in the Neuro-Genetic Stock Index Prediction System

Jacek Mandziuk, Marcin Jaruszewicz, 2009, ICONIP.

Speckle noise removal in interference patterns by cross absolute filter: comparison with median filter

Christophe Gorecki, Jacek Mandziuk, J. Mańdziuk, 1995, Optics & Photonics.

An Automatically Generated Evaluation Function in General Game Playing

Jacek Mandziuk, Karol Waledzik, J. Mańdziuk, 2014, IEEE Transactions on Computational Intelligence and AI in Games.

Editorial: A Successful Year and Looking Forward to 2017 and Beyond

Meng Wang, Haibo He, Shiliang Sun, 2017, IEEE Trans. Neural Networks Learn. Syst..

Simulation-based approach to Vehicle Routing Problem with traffic jams

Maciej Swiechowski, Jacek Mandziuk, J. Mańdziuk, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

One Day Prediction of NIKKEI Index Considering Information from Other Stock Markets

Jacek Mandziuk, Marcin Jaruszewicz, J. Mańdziuk, 2004, ICAISC.

Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm

Lipo Wang, Farideh Fazayeli, Jacek Mandziuk, 2008, RSCTC.

The Layered Learning Method and Its Application to Generation of Evaluation Functions for the Game of Checkers

Jacek Mandziuk, Karol Waledzik, 2010, PPSN.

Some thoughts on using Computational Intelligence methods in classical mind board games

Jacek Mandziuk, J. Mańdziuk, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Self-Adaptation of Playing Strategies in General Game Playing

Maciej Swiechowski, Jacek Mandziuk, J. Mańdziuk, 2014, IEEE Transactions on Computational Intelligence and AI in Games.

2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence, CIHLI 2014, Orlando, FL, USA, December 9-12, 2014

Jacek Mandziuk, Janusz Starzyk, J. Mańdziuk, 2014, CIHLI.

Polar Bear Optimization For Industrial Computed Tomography With Incomplete Data

Marcin Wozniak, Dawid Polap, Adam Zielonka, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

Conference Report on 2021 IEEE Congress on Evolutionary Computation (IEEE CEC 2021) [Conference Reports]

Hussein A. Abbass, Jacek Mandziuk, H. Abbass, 2021, IEEE Computational Intelligence Magazine.

Duo-LDL method for Label Distribution Learning based on pairwise class dependencies

Jacek Mandziuk, Adam Zychowski, J. Mańdziuk, 2021, Appl. Soft Comput..

Meta-heuristic Algorithm As Feature Selector For Convolutional Neural Networks

Marcin Wozniak, Dawid Polap, Jacek Mandziuk, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

Spike-Timing-Dependent Plasticity With Activation-Dependent Scaling for Receptive Fields Development.

Jacek Mandziuk, Marcin Bialas, 2021, IEEE transactions on neural networks and learning systems.

Feature Selection Based on the Rough Set Theory and EM Clustering Algorithm

Farideh Fazayeli, Jacek Mandziuk, Lipo Wang, 2008 .