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2020 – today
- 2024
[j51]Stanislaw Kazmierczak
, Rafal Kasztelanic, Ryszard Buczynski, Jacek Mandziuk:
Predicting optical parameters of nanostructured optical fibers using machine learning algorithms. Eng. Appl. Artif. Intell. 132: 107921 (2024)- [j50]Jian Wang, Xiaofeng Xue, Zhixue Sun, Jun Yao, El-Sayed M. El-Alfy, Kai Zhang, Witold Pedrycz, Jacek Mandziuk:
Theory guided Lagrange programming neural network for subsurface flow problems. Eng. Appl. Artif. Intell. 134: 108656 (2024) - [j49]Xiaoling Gong, Jian Wang, Qilin Ren, Kai Zhang, El-Sayed M. El-Alfy, Jacek Mandziuk:
Embedded feature selection approach based on TSK fuzzy system with sparse rule base for high-dimensional classification problems. Knowl. Based Syst. 295: 111809 (2024) - [j48]Xuetao Xie, Yi-Fei Pu, Huaqing Zhang, Jacek Mandziuk, El-Sayed M. El-Alfy, Jian Wang:
An interpretable neural network for robustly determining the location and number of cluster centers. Int. J. Mach. Learn. Cybern. 15(4): 1473-1501 (2024) - [j47]Marcin Bialas, Marcin Michal Mironczuk, Jacek Mandziuk:
Leveraging spiking neural networks for topic modeling. Neural Networks 178: 106494 (2024) - [j46]Grzegorz Zakrzewski, Kacper Skonieczka, Mikolaj Malkinski, Jacek Mandziuk:
ReModels: Quantile Regression Averaging models. SoftwareX 28: 101905 (2024) - [j45]Mikolaj Malkinski, Jacek Mandziuk:
Multi-Label Contrastive Learning for Abstract Visual Reasoning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1941-1953 (2024) - [c89]Mikolaj Malkinski, Jacek Mandziuk:
One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems. AAAI 2024: 14297-14305 - [c88]Adam Zychowski, Andrew Perrault, Jacek Mandziuk:
Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret. AAAI 2024: 21869-21877 - [c87]Jacek Czupyt, Mikolaj Malkinski, Jacek Mandziuk:
Capitalizing on the Opponent's Uncertainty in Reconnaissance Blind Chess. CEC 2024: 1-10 - [i32]Maciej Zelaszczyk, Jacek Mandziuk:
Text-to-Image Cross-Modal Generation: A Systematic Review. CoRR abs/2401.11631 (2024) - [i31]Maciej Zelaszczyk, Jacek Mandziuk:
Interpretable Multi-task Learning with Shared Variable Embeddings. CoRR abs/2405.06330 (2024) - [i30]Grzegorz Zakrzewski, Kacper Skonieczka, Mikolaj Malkinski, Jacek Mandziuk:
ReModels: Quantile Regression Averaging models. CoRR abs/2405.11372 (2024) - [i29]Mikolaj Malkinski, Jacek Mandziuk:
Generalization and Knowledge Transfer in Abstract Visual Reasoning Models. CoRR abs/2406.11061 (2024) - [i28]Mikolaj Malkinski, Jacek Mandziuk:
A Unified View of Abstract Visual Reasoning Problems. CoRR abs/2406.11068 (2024) - [i27]Stanislaw Kazmierczak, Jacek Mandziuk:
Bootstrap Sampling Rate Greater than 1.0 May Improve Random Forest Performance. CoRR abs/2410.04297 (2024) - 2023
- [j44]Dominik Lewy, Jacek Mandziuk:
An overview of mixing augmentation methods and augmentation strategies. Artif. Intell. Rev. 56(3): 2111-2169 (2023) - [j43]Maciej Swiechowski, Konrad Godlewski, Bartosz Sawicki, Jacek Mandziuk:
Monte Carlo Tree Search: a review of recent modifications and applications. Artif. Intell. Rev. 56(3): 2497-2562 (2023) - [j42]Jan Karwowski, Jacek Mandziuk, Adam Zychowski:
Sequential Stackelberg Games with bounded rationality. Appl. Soft Comput. 132: 109846 (2023) - [j41]Jacek Mandziuk, Adam Zychowski:
Duel-based neuroevolutionary method for Stackelberg Security Games with boundedly rational Attacker. Appl. Soft Comput. 146: 110673 (2023) - [j40]Maciej Grzenda, Stanislaw Kazmierczak, Marcin Luckner, Grzegorz Borowik, Jacek Mandziuk:
Evaluation of machine learning methods for impostor detection in web applications. Expert Syst. Appl. 231: 120736 (2023) - [j39]Mikolaj Malkinski, Jacek Mandziuk:
A review of emerging research directions in Abstract Visual Reasoning. Inf. Fusion 91: 713-736 (2023) - [j38]Maciej Zelaszczyk, Jacek Mandziuk:
Cross-modal text and visual generation: A systematic review. Part 1: Image to text. Inf. Fusion 93: 302-329 (2023) - [j37]Dominik Lewy, Jacek Mandziuk:
Training CNN Classifiers Solely on Webly Data. J. Artif. Intell. Soft Comput. Res. 13(1): 75-92 (2023) - [j36]Jan Mycka, Adam Zychowski, Jacek Mandziuk:
Toward human-level tonal and modal melody harmonizations. J. Comput. Sci. 67: 101963 (2023) - [j35]Adam Zychowski, Jacek Mandziuk:
Coevolution of players strategies in security games. J. Comput. Sci. 68: 101980 (2023) - [c86]Jeremiasz Wolosiuk, Maciej Swiechowski, Jacek Mandziuk:
Don't Predict Counterfactual Values, Predict Expected Values Instead. AAAI 2023: 5303-5311 - [c85]Mohammad Sadegh Khorshidi, Danial Yazdani, Jacek Mandziuk, Mohammad Reza Nikoo, Amir H. Gandomi:
A Filter-Based Feature Selection and Ranking Approach to Enhance Genetic Programming for High-Dimensional Data Analysis. CEC 2023: 1-9 - [c84]Jacek Mandziuk, Patryk Walczak:
Monte Carlo Tree Search with Metaheuristics. ICAISC (2) 2023: 134-144 - [c83]Xiaofeng Xue, Xiaoling Gong, Jacek Mandziuk, Jun Yao, El-Sayed M. El-Alfy, Jian Wang:
Theory-Guided Convolutional Neural Network with an Enhanced Water Flow Optimizer. ICONIP (1) 2023: 448-461 - [i26]Dominik Lewy, Jacek Mandziuk:
AttentionMix: Data augmentation method that relies on BERT attention mechanism. CoRR abs/2309.11104 (2023) - [i25]Adam Zychowski, Andrew Perrault, Jacek Mandziuk:
Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret. CoRR abs/2312.09078 (2023) - [i24]Mikolaj Malkinski, Jacek Mandziuk:
One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems. CoRR abs/2312.09997 (2023) - 2022
- [j34]Michal Okulewicz, Mateusz Zaborski, Jacek Mandziuk:
Self-Adapting Particle Swarm Optimization for continuous black box optimization. Appl. Soft Comput. 131: 109722 (2022) - [j33]Mateusz Zaborski, Marcin Wozniak, Jacek Mandziuk:
Multidimensional Red Fox meta-heuristic for complex optimization. Appl. Soft Comput. 131: 109774 (2022) - [j32]Marcin Bialas, Jacek Mandziuk:
Spike-Timing-Dependent Plasticity With Activation-Dependent Scaling for Receptive Fields Development. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5215-5228 (2022) - [c82]Paulina Tomaszewska, Adam Zychowski, Jacek Mandziuk:
Duel-based Deep Learning system for solving IQ tests. AISTATS 2022: 10483-10492 - [c81]Mateusz Zaborski, Jacek Mandziuk:
Improving LSHADE by means of a pre-screening mechanism. GECCO 2022: 884-892 - [c80]Jan Mycka, Adam Zychowski, Jacek Mandziuk:
Evolutionary Approach to Melodic Line Harmonization. ICAISC (1) 2022: 230-241 - [c79]Mateusz Zaborski, Jacek Mandziuk:
LQ-R-SHADE: R-SHADE with Quadratic Surrogate Model. ICAISC (1) 2022: 265-276 - [c78]Jan Mycka, Adam Zychowski, Jacek Mandziuk:
Human-Level Melodic Line Harmonization. ICCS (1) 2022: 17-30 - [c77]Adam Zychowski, Jacek Mandziuk:
Coevolutionary Approach to Sequential Stackelberg Security Games. ICCS (1) 2022: 103-117 - [c76]Stanislaw Kazmierczak, Zofia Juszka, Rafal Wojciech Grzeszczuk, Marcin Kurdziel, Vaska Vandevska-Radunovic, Piotr Fudalej, Jacek Mandziuk:
Prediction of the Facial Growth Direction: Regression Perspective. ICONIP (7) 2022: 395-407 - [c75]Dominik Lewy, Jacek Mandziuk, Maria Ganzha, Marcin Paprzycki:
StatMix: Data Augmentation Method that Relies on Image Statistics in Federated Learning. ICONIP (4) 2022: 574-585 - [c74]Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran:
Evolutionary Approach to Security Games with Signaling. IJCAI 2022: 620-627 - [c73]Maciej Zelaszczyk, Jacek Mandziuk:
Audio-to-Image Cross-Modal Generation. IJCNN 2022: 1-8 - [c72]Mateusz Zaborski, Jacek Mandziuk:
Surrogate-Assisted LSHADE Algorithm Utilizing Recursive Least Squares Filter. PPSN (1) 2022: 146-159 - [i23]Mikolaj Malkinski, Jacek Mandziuk:
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices. CoRR abs/2201.12382 (2022) - [i22]Mikolaj Malkinski, Jacek Mandziuk:
A Review of Emerging Research Directions in Abstract Visual Reasoning. CoRR abs/2202.10284 (2022) - [i21]Mateusz Zaborski, Jacek Mandziuk:
Improving LSHADE by means of a pre-screening mechanism. CoRR abs/2204.04105 (2022) - [i20]Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran:
Evolutionary Approach to Security Games with Signaling. CoRR abs/2204.14173 (2022) - [i19]Anastasiya Danilenka, Maria Ganzha, Marcin Paprzycki, Jacek Mandziuk:
Using adversarial images to improve outcomes of federated learning for non-IID data. CoRR abs/2206.08124 (2022) - [i18]Dominik Lewy, Jacek Mandziuk, Maria Ganzha, Marcin Paprzycki:
StatMix: Data augmentation method that relies on image statistics in federated learning. CoRR abs/2207.04103 (2022) - 2021
- [j31]Adam Zychowski, Jacek Mandziuk:
Duo-LDL method for Label Distribution Learning based on pairwise class dependencies. Appl. Soft Comput. 110: 107585 (2021) - [j30]Jacek Mandziuk, Hussein A. Abbass:
Conference Report on 2021 IEEE Congress on Evolutionary Computation (IEEE CEC 2021) [Conference Reports]. IEEE Comput. Intell. Mag. 16(4): 5-8 (2021) - [c71]Adam Zychowski, Jacek Mandziuk:
Evolution of Strategies in Sequential Security Games. AAMAS 2021: 1434-1442 - [c70]Dawid Polap, Marcin Wozniak, Jacek Mandziuk:
Meta-heuristic Algorithm As Feature Selector For Convolutional Neural Networks. CEC 2021: 666-672 - [c69]Mariusz Pleszczynski, Adam Zielonka, Dawid Polap, Marcin Wozniak, Jacek Mandziuk:
Polar Bear Optimization For Industrial Computed Tomography With Incomplete Data. CEC 2021: 681-687 - [c68]Szymon Kowalik, Jacek Mandziuk:
Towards Human-Level Performance in Solving Double Dummy Bridge Problem. ICONIP (4) 2021: 15-27 - [c67]Adam Zychowski, Jacek Mandziuk:
Learning Attacker's Bounded Rationality Model in Security Games. ICONIP (5) 2021: 530-539 - [c66]Maciej Zelaszczyk, Jacek Mandziuk:
Adversarial Defenses via a Mixture of Generators. ICONIP (5) 2021: 566-574 - [c65]Stanislaw Kazmierczak, Zofia Juszka, Vaska Vandevska-Radunovic, Thomas J. J. Maal, Piotr Fudalej, Jacek Mandziuk:
Prediction of the Facial Growth Direction is Challenging. ICONIP (6) 2021: 665-673 - [i17]Maciej Swiechowski, Konrad Godlewski, Bartosz Sawicki, Jacek Mandziuk:
Monte Carlo Tree Search: A Review of Recent Modifications and Applications. CoRR abs/2103.04931 (2021) - [i16]Stanislaw Kazmierczak, Zofia Juszka, Piotr Fudalej, Jacek Mandziuk:
Prediction of the facial growth direction with Machine Learning methods. CoRR abs/2106.10464 (2021) - [i15]Dominik Lewy, Jacek Mandziuk:
An overview of mixing augmentation methods and augmentation strategies. CoRR abs/2107.09887 (2021) - [i14]Adam Zychowski, Jacek Mandziuk:
Learning Attacker's Bounded Rationality Model in Security Games. CoRR abs/2109.13036 (2021) - [i13]Maciej Zelaszczyk, Jacek Mandziuk:
Audio-to-Image Cross-Modal Generation. CoRR abs/2109.13354 (2021) - [i12]Stanislaw Kazmierczak, Zofia Juszka, Vaska Vandevska-Radunovic, Thomas J. J. Maal, Piotr Fudalej, Jacek Mandziuk:
Prediction of the Facial Growth Direction is Challenging. CoRR abs/2110.02316 (2021) - [i11]Maciej Zelaszczyk, Jacek Mandziuk:
Adversarial defenses via a mixture of generators. CoRR abs/2110.02364 (2021) - 2020
- [c64]Jan Karwowski, Jacek Mandziuk:
Double-Oracle Sampling Method for Stackelberg Equilibrium Approximation in General-Sum Extensive-Form Games. AAAI 2020: 2054-2061 - [c63]Jan Karwowski, Jacek Mandziuk, Adam Zychowski:
Anchoring Theory in Sequential Stackelberg Games. AAMAS 2020: 1881-1883 - [c62]Adam Zychowski, Jacek Mandziuk:
A Generic Metaheuristic Approach to Sequential Security Games. AAMAS 2020: 2089-2091 - [c61]Marcin Bialas, Marcin Michal Mironczuk, Jacek Mandziuk:
Biologically Plausible Learning of Text Representation with Spiking Neural Networks. PPSN (1) 2020: 433-447 - [c60]Stanislaw Kazmierczak, Jacek Mandziuk:
A Committee of Convolutional Neural Networks for Image Classification in the Concurrent Presence of Feature and Label Noise. PPSN (1) 2020: 498-511 - [i10]Michal Okulewicz, Mateusz Zaborski, Jacek Mandziuk:
Generalized Self-Adapting Particle Swarm Optimization algorithm with archive of samples. CoRR abs/2002.12485 (2020) - [i9]Stanislaw Kazmierczak, Jacek Mandziuk:
A Committee of Convolutional Neural Networks for Image Classication in the Concurrent Presence of Feature and Label Noise. CoRR abs/2004.10705 (2020) - [i8]Michal Okulewicz, Jacek Mandziuk:
A Particle Swarm Optimization hyper-heuristic for the Dynamic Vehicle Routing Problem. CoRR abs/2006.08809 (2020) - [i7]Michal Okulewicz, Jacek Mandziuk:
Dynamic Vehicle Routing Problem: A Monte Carlo approach. CoRR abs/2006.09996 (2020) - [i6]Marcin Bialas, Marcin Michal Mironczuk, Jacek Mandziuk:
Biologically Plausible Learning of Text Representation with Spiking Neural Networks. CoRR abs/2006.14894 (2020) - [i5]Mikolaj Malkinski, Jacek Mandziuk:
Multi-Label Contrastive Learning for Abstract Visual Reasoning. CoRR abs/2012.01944 (2020)
2010 – 2019
- 2019
- [j29]Jan Karwowski, Jacek Mandziuk:
A Monte Carlo Tree Search approach to finding efficient patrolling schemes on graphs. Eur. J. Oper. Res. 277(1): 255-268 (2019) - [j28]Michal Okulewicz, Jacek Mandziuk:
A metaheuristic approach to solve Dynamic Vehicle Routing Problem in continuous search space. Swarm Evol. Comput. 48: 44-61 (2019) - [j27]Jacek Mandziuk:
New Shades of the Vehicle Routing Problem: Emerging Problem Formulations and Computational Intelligence Solution Methods. IEEE Trans. Emerg. Top. Comput. Intell. 3(3): 230-244 (2019) - [c59]Jan Karwowski, Jacek Mandziuk, Adam Zychowski, Filip Grajek, Bo An:
A Memetic Approach for Sequential Security Games on a Plane with Moving Targets. AAAI 2019: 970-977 - [c58]Jan Karwowski, Jacek Mandziuk:
Stackelberg Equilibrium Approximation in General-Sum Extensive-Form Games with Double-Oracle Sampling Method. AAMAS 2019: 2045-2047 - [c57]Jacek Mandziuk, Jakub Suchan:
Who should bid higher, NS or WE, in a given Bridge dealƒ. IJCNN 2019: 1-8 - [c56]Jacek Mandziuk, Adam Zychowski:
Dimensionality Reduction in Multilabel Classification with Neural Networks. IJCNN 2019: 1-8 - [c55]Jacek Mandziuk, Adam Zychowski:
DeepIQ: A Human-Inspired AI System for Solving IQ Test Problems. IJCNN 2019: 1-8 - [i4]Jan Karwowski, Jacek Mandziuk:
Double-oracle sampling method for Stackelberg Equilibrium approximation in general-sum extensive-form games. CoRR abs/1909.03934 (2019) - [i3]Adam Zychowski, Jacek Mandziuk:
A Generic Metaheuristic Approach to Sequential Security Games. CoRR abs/1911.05706 (2019) - [i2]Jan Karwowski, Jacek Mandziuk, Adam Zychowski:
Anchoring Theory in Sequential Stackelberg Games. CoRR abs/1912.03564 (2019) - 2018
- [j26]Karol Waledzik, Jacek Mandziuk:
Applying hybrid Monte Carlo Tree Search methods to Risk-Aware Project Scheduling Problem. Inf. Sci. 460-461: 450-468 (2018) - [j25]Adam Zychowski, Abhishek Gupta, Jacek Mandziuk, Yew-Soon Ong:
Addressing expensive multi-objective games with postponed preference articulation via memetic co-evolution. Knowl. Based Syst. 154: 17-31 (2018) - [c54]Jacek Mandziuk:
MCTS/UCT in Solving Real-Life Problems. Advances in Data Analysis with Computational Intelligence Methods 2018: 277-292 - [c53]Jacek Mandziuk, Jakub Suchan:
Solving the Double Dummy Bridge Problem with Shallow Autoencoders. ICONIP (4) 2018: 268-280 - 2017
- [j24]Michal Okulewicz, Jacek Mandziuk:
The impact of particular components of the PSO-based algorithm solving the Dynamic Vehicle Routing Problem. Appl. Soft Comput. 58: 586-604 (2017) - [j23]Jacek Mandziuk, Maciej Swiechowski:
UCT in Capacitated Vehicle Routing Problem with traffic jams. Inf. Sci. 406: 42-56 (2017) - [j22]Yaqian Zhang, Jacek Mandziuk, Hiok Chai Quek, Wooi-Boon Goh:
Curvature-based method for determining the number of clusters. Inf. Sci. 415: 414-428 (2017) - [j21]Min Jiang, Jacek Mandziuk, Ben Goertzel, Naoyuki Kubota:
Guest Editorial Special Issue on Human-Like Intelligence and Robotics. IEEE Syst. J. 11(3): 1269-1271 (2017) - [j20]Haibo He, Robert Haas, Jun Fu, Barbara Hammer, Daniel W. C. Ho, Fakhri Karray, Dhireesha Kudithipudi, José Antonio Lozano, Teresa Bernarda Ludermir, Jacek Mandziuk, Stefano Melacci, Antonio Paiva, Hong Qiao, Alain Rakotomamonjy, Shiliang Sun, Johan A. K. Suykens, Meng Wang:
Editorial: A Successful Year and Looking Forward to 2017 and Beyond. IEEE Trans. Neural Networks Learn. Syst. 28(1): 2-7 (2017) - [c52]Jan Karwowski, Jacek Mandziuk:
The Impact of the Number of Averaged Attacker's Strategies on the Results Quality in Mixed-UCT. ICAISC (2) 2017: 477-488 - [c51]Jacek Mandziuk, Maciej Swiechowski:
Swarm Intelligence in Solving Stochastic Capacitated Vehicle Routing Problem. ICAISC (2) 2017: 543-552 - [c50]Jacek Mandziuk, Adam Zychowski, Lipo Wang:
A TCART-M - Tuned CARTesian-based error function for multilabel classification with the MLP. IJCNN 2017: 565-572 - [i1]Adam Zychowski, Abhishek Gupta, Jacek Mandziuk, Yew-Soon Ong:
Addressing Expensive Multi-objective Games with Postponed Preference Articulation via Memetic Co-evolution. CoRR abs/1711.06763 (2017) - 2016
- [j19]Jacek Mandziuk, Adam Zychowski:
A memetic approach to vehicle routing problem with dynamic requests. Appl. Soft Comput. 48: 522-534 (2016) - [j18]Maciej Swiechowski, Jacek Mandziuk:
Fast interpreter for logical reasoning in general game playing. J. Log. Comput. 26(5): 1697-1727 (2016) - [j17]Maciej Swiechowski, Jacek Mandziuk, Yew-Soon Ong:
Specialization of a UCT-Based General Game Playing Program to Single-Player Games. IEEE Trans. Comput. Intell. AI Games 8(3): 218-228 (2016) - [c49]Jacek Mandziuk, Piotr Rajkiewicz:
Neuro-evolutionary system for FOREX trading. CEC 2016: 4654-4661 - [c48]Jan Karwowski, Jacek Mandziuk:
Mixed Strategy Extraction from UCT Tree in Security Games. ECAI 2016: 1746-1747 - [c47]Jacek Mandziuk, Maciej Swiechowski:
Simulation-based approach to Vehicle Routing Problem with traffic jams. SSCI 2016: 1-8 - [p3]Maciej Swiechowski, Jacek Mandziuk:
A Hybrid Approach to Parallelization of Monte Carlo Tree Search in General Game Playing. Challenging Problems and Solutions in Intelligent Systems 2016: 199-215 - 2015
- [c46]Jan Karwowski, Jacek Mandziuk:
A New Approach to Security Games. ICAISC 2015: 402-411 - [c45]Jacek Mandziuk, Cezary Nejman:
UCT-Based Approach to Capacitated Vehicle Routing Problem. ICAISC 2015: 679-690 - 2014
- [j16]Karol Waledzik, Jacek Mandziuk:
An Automatically Generated Evaluation Function in General Game Playing. IEEE Trans. Comput. Intell. AI Games 6(3): 258-270 (2014) - [j15]Maciej Swiechowski, Jacek Mandziuk:
Self-Adaptation of Playing Strategies in General Game Playing. IEEE Trans. Comput. Intell. AI Games 6(4): 367-381 (2014) - [c44]Maciej Swiechowski, Jacek Mandziuk:
Prolog versus specialized logic inference engine in General Game Playing. CIG 2014: 1-8 - [c43]Michal Okulewicz, Jacek Mandziuk:
Two-phase multi-swarm PSO and the dynamic vehicle routing problem. CIHLI 2014: 86-93 - [c42]Karol Waledzik, Jacek Mandziuk, Slawomir Zadrozny:
Proactive and reactive risk-aware project scheduling. CIHLI 2014: 94-101 - [c41]Jacek Mandziuk, Aleksandra Wozniczko, Marcin Goss:
A Neuro-memetic System for Music Composing. AIAI 2014: 130-139 - [c40]Maciej Swiechowski, Jacek Mandziuk:
Specialized vs. Multi-game Approaches to AI in Games. IEEE Conf. on Intelligent Systems (1) 2014: 243-254 - 2013
- [c39]Jacek Mandziuk, Marcin Goss, Aleksandra Wozniczko:
Chopin or not? A memetic approach to music composition. IEEE Congress on Evolutionary Computation 2013: 546-553 - [c38]Jacek Mandziuk, Yew-Soon Ong, Karol Waledzik:
Multi-game playing - A challenge for computational intelligence. CIHLI 2013: 17-24 - [c37]Michal Okulewicz, Jacek Mandziuk:
Application of Particle Swarm Optimization Algorithm to Dynamic Vehicle Routing Problem. ICAISC (2) 2013: 547-558 - 2012
- [c36]Cezary Dendek, Jacek Mandziuk:
Statistically-Induced Kernel Function for Support Vector Machine Classifier. ICAISC (1) 2012: 369-377 - [c35]Mateusz Kobos, Jacek Mandziuk:
Bandwidth Selection in Kernel Density Estimators for Multiple-Resolution Classification. ICAISC (1) 2012: 378-386 - [c34]Jacek Mandziuk:
Human-Like Intuitive Playing in Board Games. ICONIP (2) 2012: 282-289 - [c33]Jacek Mandziuk, Marcin Jaruszewicz:
Memetic Input Variable Selection in Neuro-Genetic Prediction System. SEAL 2012: 420-429 - [c32]Jacek Mandziuk, Maciej Swiechowski:
Generic Heuristic Approach to General Game Playing. SOFSEM 2012: 649-660 - [p2]Jacek Mandziuk, Przemyslaw Szalaj:
Creating a Personality System for RTS Bots. Believable Bots 2012: 231-264 - 2011
- [j14]Jacek Mandziuk:
Towards Cognitively Plausible Game Playing Systems. IEEE Comput. Intell. Mag. 6(2): 38-51 (2011) - [j13]Mateusz Kobos, Jacek Mandziuk:
Multiple-resolution classification with combination of density estimators. Connect. Sci. 23(4): 219-237 (2011) - [j12]Jacek Mandziuk, Marcin Jaruszewicz:
Neuro-genetic system for stock index prediction. J. Intell. Fuzzy Syst. 22(2-3): 93-123 (2011) - [c31]Karol Waledzik, Jacek Mandziuk:
Multigame Playing by Means of UCT Enhanced with Automatically Generated Evaluation Functions. AGI 2011: 327-332 - 2010
- [b1]Jacek Mandziuk:
Knowledge-Free and Learning-Based Methods in Intelligent Game Playing. Studies in Computational Intelligence 276, Springer 2010, ISBN 978-3-642-11677-3 - [c30]Karol Waledzik, Jacek Mandziuk:
CI in General Game Playing - To Date Achievements and Perspectives. ICAISC (2) 2010: 667-674 - [c29]Mateusz Kobos, Jacek Mandziuk:
Classification Based on Multiple-Resolution Data View. ICANN (3) 2010: 124-129 - [c28]Karol Waledzik, Jacek Mandziuk:
The Layered Learning Method and Its Application to Generation of Evaluation Functions for the Game of Checkers. PPSN (2) 2010: 543-552
2000 – 2009
- 2009
- [j11]Krzysztof Mossakowski, Jacek Mandziuk:
Learning Without Human Expertise: A Case Study of the Double Dummy Bridge Problem. IEEE Trans. Neural Networks 20(2): 278-299 (2009) - [j10]Wlodzislaw Duch, Jacek Mandziuk:
Challenges for Computational Intelligence. IEEE Trans. Neural Networks 20(3): 542-543 (2009) - [c27]Jacek Mandziuk, Krzysztof Mossakowski:
Neural networks compete with expert human players in solving the Double Dummy Bridge Problem. CIG 2009: 117-124 - [c26]Mateusz Kobos, Jacek Mandziuk:
Classification Based on Combination of Kernel Density Estimators. ICANN (2) 2009: 125-134 - [c25]Cezary Dendek, Jacek Mandziuk:
Probability-Based Distance Function for Distance-Based Classifiers. ICANN (1) 2009: 141-150 - [c24]Jacek Mandziuk, Marcin Jaruszewicz:
"Dead" Chromosomes and Their Elimination in the Neuro-Genetic Stock Index Prediction System. ICONIP (2) 2009: 601-610 - 2008
- [c23]Cezary Dendek, Jacek Mandziuk:
A Neural Network Classifier of Chess Moves. HIS 2008: 338-343 - [c22]Cezary Dendek, Jacek Mandziuk:
Improving Performance of a Binary Classifier by Training Set Selection. ICANN (1) 2008: 128-135 - [c21]Jacek Mandziuk:
Some thoughts on using Computational Intelligence methods in classical mind board games. IJCNN 2008: 4002-4008 - [c20]Rafal Grodzicki, Jacek Mandziuk, Lipo Wang:
Improved Multilabel Classification with Neural Networks. PPSN 2008: 409-416 - [c19]Farideh Fazayeli, Lipo Wang, Jacek Mandziuk:
Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm. RSCTC 2008: 272-282 - 2007
- [j9]Jacek Mandziuk, Magdalena Kusiak, Karol Waledzik:
Evolutionary-based heuristic generators for checkers and give-away checkers. Expert Syst. J. Knowl. Eng. 24(4): 189-211 (2007) - [c18]Pawel Kupis, Jacek Mandziuk:
Evolutionary-Progressive Method for Multiple Sequence Alignment. CIBCB 2007: 291-297 - [c17]Jacek Mandziuk, Krzysztof Mossakowski:
Example-based Estimation of Hand's Strength in the Game of Bridge with or without Using Explicit Human Knowledge. CIDM 2007: 413-420 - [c16]Pawel Kupis, Jacek Mandziuk:
Multiple Sequence Alignment with Evolutionary-Progressive Method. ICANNGA (1) 2007: 23-30 - [c15]Magdalena Kusiak, Karol Waledzik, Jacek Mandziuk:
Evolutionary Approach to the Game of Checkers. ICANNGA (1) 2007: 432-440 - [c14]Jacek Mandziuk, Marcin Jaruszewicz:
Neuro-evolutionary approach to stock market prediction. IJCNN 2007: 2515-2520 - [p1]Jacek Mandziuk:
Computational Intelligence in Mind Games. Challenges for Computational Intelligence 2007: 407-442 - [e1]Wlodzislaw Duch, Jacek Mandziuk:
Challenges for Computational Intelligence. Studies in Computational Intelligence 63, Springer 2007, ISBN 978-3-540-71983-0 [contents] - 2006
- [c13]Krzysztof Mossakowski, Jacek Mandziuk:
Neural Networks and the Estimation of Hands' Strength in Contract Bridge. ICAISC 2006: 1189-1198 - [c12]Cezary Dendek, Jacek Mandziuk:
Including Metric Space Topology in Neural Networks Training by Ordering Patterns. ICANN (2) 2006: 644-653 - 2005
- [j8]Nguyen Hoang Viet, Jacek Mandziuk:
Neural and Fuzzy Neural Networks in Prediction of Natural Gas Consumption. Neural Parallel Sci. Comput. 13: 265-286 (2005) - [c11]Magdalena Kusiak, Karol Waledzik, Jacek Mandziuk:
Evolution of Heuristics for Give-Away Checkers. ICANN (2) 2005: 981-987 - 2004
- [j7]Jacek Mandziuk, Daniel Osman:
Alpha-Beta Search Enhancements with a Real-Value Game-State Evaluation Function. J. Int. Comput. Games Assoc. 27(1): 38-43 (2004) - [c10]Jacek Mandziuk, Daniel Osman:
Temporal Difference Approach to Playing Give-Away Checkers. ICAISC 2004: 909-914 - [c9]Krzysztof Mossakowski, Jacek Mandziuk:
Artificial Neural Networks for Solving Double Dummy Bridge Problems. ICAISC 2004: 915-921 - [c8]Marcin Jaruszewicz, Jacek Mandziuk:
One Day Prediction of NIKKEI Index Considering Information from Other Stock Markets. ICAISC 2004: 1130-1135 - [c7]Daniel Osman, Jacek Mandziuk:
Comparison of TDLeaf(lambda) and TD(lambda) Learning in Game Playing Domain. ICONIP 2004: 549-554 - 2003
- [c6]Nguyen Hoang Viet, Jacek Mandziuk:
Prediction of natural gas consumption with feed-forward and fuzzy neural networks. ICANNGA 2003: 107-114 - [c5]Nguyen Hoang Viet, Jacek Mandziuk:
Neural and fuzzy neural networks for natural gas consumption prediction. NNSP 2003: 759-768 - 2002
- [j6]Jacek Mandziuk, Lokendra Shastri:
Incremental class learning approach and its application to handwritten digit recognition. Inf. Sci. 141(3-4): 193-217 (2002) - [c4]Rafal Mikolajczak, Jacek Mandziuk:
Chaotic Time Series Prediction with Neural Networks - Comparison of Several Architectures. ECAI 2002: 493-497 - 2000
- [j5]Jacek Mandziuk:
Optimization with the Hopfield network based on correlated noises: Experimental approach. Neurocomputing 30(1-4): 301-321 (2000)
1990 – 1999
- 1999
- [j4]Jacek Mandziuk:
Improvement of Hopfield associative memory by contour enhancement in library patterns. Neural Parallel Sci. Comput. 7(3): 359-377 (1999) - [c3]Jacek Mandziuk, Lokendra Shastri:
Incremental class learning-an approach to longlife and scalable learning. IJCNN 1999: 1319-1324 - 1998
- [j3]Arun K. Jagota, Jacek Mandziuk:
Experimental Study of Perceptron-Type Local Learning Rule for Hopfield Associative Memory. Inf. Sci. 111(1-4): 65-81 (1998) - [c2]Jacek Mandziuk, Lokendra Shastri:
Incremental Class Learning Approach and its Application to Handwritten Digit Recognition. ICONIP 1998: 203-206 - 1997
- [c1]Jacek Mandziuk:
Pulsed noise-based stochastic optimization with the Hopfield model. ICNN 1997: 1315-1320 - 1995
- [j2]Jacek Mandziuk:
Solving the N-Queens problem with a binary Hopfield-type network. Biol. Cybern. 72(5): 439-445 (1995) - 1992
- [j1]Jacek Mandziuk, Bohdan Macuk:
A neural network designed to solve the N-Queens Problem. Biol. Cybern. 66(4): 375-379 (1992)
Coauthor Index
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