Lukasz A. Kurgan

104 papers B 3C 14Misc 3Journal 75Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
SCREEN: A Graph-based Contrastive Learning Tool to Infer Catalytic Residues and Assess Enzyme Mutations.
Genom. Proteom. Bioinform.
Tong Pan, Yue Bi, Xiaoyu Wang, Ying Zhang, Geoffrey I. Webb, Robin B. Gasser, Lukasz A. Kurgan, Jiangning Song
2025 J jnl
Twenty years of advances in prediction of nucleic acid-binding residues in protein sequences.
Briefings Bioinform.
Sushmita Basu, Jing Yu, Daisuke Kihara, Lukasz A. Kurgan
2023 J jnl
A comprehensive assessment and comparison of tools for HLA class I peptide-binding prediction.
Briefings Bioinform.
Meng Wang, Lukasz A. Kurgan, Min Li
2023 J jnl
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.
Nucleic Acids Res.
Alessio Del Conte, Adel Bouhraoua, Mahta Mehdiabadi, Damiano Clementel, Alexander Miguel Monzon, Alex S. Holehouse, Daniel A. Griffith, Ryan J. Emenecker, Ashwini Patil, Ronesh Sharma, Tatsuhiko Tsunoda, Alok Sharma, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M. Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun-Sop Han, Myong-Chol Ma, Lukasz A. Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md. Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim F. Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdös, Silvio C. E. Tosatto, Damiano Piovesan
2023 J jnl
CLIP: accurate prediction of disordered linear interacting peptides from protein sequences using co-evolutionary information.
Briefings Bioinform.
Zhenling Peng, Zixia Li, Qiaozhen Meng, Bi Zhao, Lukasz A. Kurgan
2023 J jnl
DEPICTER2: a comprehensive webserver for intrinsic disorder and disorder function prediction.
Nucleic Acids Res.
Sushmita Basu, Jörg Gsponer, Lukasz A. Kurgan
2022 J jnl
DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning.
Briefings Bioinform.
Fuhao Zhang, Bi Zhao, Wenbo Shi, Min Li, Lukasz A. Kurgan
2022 J jnl
Guest editorial: Deep neural networks for precision medicine.
Neurocomputing
Fang-Xiang Wu, Min Li, Lukasz A. Kurgan, Luis Rueda
2021 J jnl
DNAgenie: accurate prediction of DNA-type-specific binding residues in protein sequences.
Briefings Bioinform.
Jian Zhang, Sina Ghadermarzi, Akila Katuwawala, Lukasz A. Kurgan
2021 J jnl
DescribePROT: database of amino acid-level protein structure and function predictions.
Nucleic Acids Res.
Bi Zhao, Akila Katuwawala, Christopher J. Oldfield, A. Keith Dunker, Eshel Faraggi, Jörg Gsponer, Andrzej Kloczkowski, Nawar Malhis, Milot Mirdita, Zoran Obradovic, Johannes Söding, Martin Steinegger, Yaoqi Zhou, Lukasz A. Kurgan
2021 J jnl
DisoLipPred: accurate prediction of disordered lipid-binding residues in protein sequences with deep recurrent networks and transfer learning.
Bioinform.
Akila Katuwawala, Bi Zhao, Lukasz A. Kurgan
2021 — ed.
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021
BIBM
Yufei Huang, Lukasz A. Kurgan, Feng Luo, Xiaohua Hu, Yidong Chen, Edward R. Dougherty, Andrzej Kloczkowski, Yaohang Li
2021 J jnl
Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactions.
Briefings Bioinform.
Huaming Chen, Fuyi Li, Lei Wang, Yaochu Jin, Chi-Hung Chi, Lukasz A. Kurgan, Jiangning Song, Jun Shen
2021 J jnl
XRRpred: accurate predictor of crystal structure quality from protein sequence.
Bioinform.
Sina Ghadermarzi, Bartosz Krawczyk, Jiangning Song, Lukasz A. Kurgan
2020 J jnl
Accuracy of protein-level disorder predictions.
Briefings Bioinform.
Akila Katuwawala, Christopher J. Oldfield, Lukasz A. Kurgan
2020 J jnl
Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease.
Medical Image Anal.
Liangliang Liu, Lukasz A. Kurgan, Fang-Xiang Wu, Jianxin Wang
2020 J jnl
Corrigendum to: Comprehensive review and empirical analysis of hallmarks of DNA-, RNA- and protein-binding residues in protein chains.
Briefings Bioinform.
Jian Zhang, Zhiqiang Ma, Lukasz A. Kurgan
2020 J jnl
DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites.
Bioinform.
Fuyi Li, Jinxiang Chen, André Leier, Tatiana T. Marquez-Lago, Quanzhong Liu, Yanze Wang, Jerico Nico De Leon Revote, Alexander Ian Smith, Tatsuya Akutsu, Geoffrey I. Webb, Lukasz A. Kurgan, Jiangning Song
2020 Misc conf
Disordered Function Conjunction: On the In-Silico Function Annotation of Intrinsically DisorderedRegions.
PSB
Sina Ghadermarzi, Akila Katuwawala, Christopher J. Oldfield, Amita Barik, Lukasz A. Kurgan
2020 J jnl
PROBselect: accurate prediction of protein-binding residues from proteins sequences via dynamic predictor selection.
Bioinform.
Fuhao Zhang, Wenbo Shi, Jian Zhang, Min Zeng, Min Li, Lukasz A. Kurgan
2020 J jnl
Prediction of DNA-Binding Residues in Local Segments of Protein Sequences with Fuzzy Cognitive Maps.
IEEE ACM Trans. Comput. Biol. Bioinform.
Abdollah Amirkhani, Mojtaba Kolahdoozi, Chen Wang, Lukasz A. Kurgan
2020 J jnl
Prediction of protein-binding residues: dichotomy of sequence-based methods developed using structured complexes versus disordered proteins.
Bioinform.
Jian Zhang, Sina Ghadermarzi, Lukasz A. Kurgan
2020 Misc conf
Session Introduction.
PSB
Lukasz A. Kurgan, Predrag Radivojac, Joel L. Sussman, A. Keith Dunker
2019 J jnl
Comprehensive review and empirical analysis of hallmarks of DNA-, RNA- and protein-binding residues in protein chains.
Briefings Bioinform.
Jian Zhang, Zhiqiang Ma, Lukasz A. Kurgan
2019 J jnl
Quality assessment for the putative intrinsic disorder in proteins.
Bioinform.
Gang Hu, Zhonghua Wu, Christopher J. Oldfield, Chen Wang, Lukasz A. Kurgan
2019 J jnl
Review and comparative assessment of similarity-based methods for prediction of drug-protein interactions in the druggable human proteome.
Briefings Bioinform.
Chen Wang, Lukasz A. Kurgan
2019 J jnl
SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences.
Bioinform.
Jian Zhang, Lukasz A. Kurgan
2018 J jnl
Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity.
Briefings Bioinform.
Huilin Wang, Liubin Feng, Geoffrey I. Webb, Lukasz A. Kurgan, Jiangning Song, Donghai Lin
2018 J jnl
Review and comparative assessment of sequence-based predictors of protein-binding residues.
Briefings Bioinform.
Jian Zhang, Lukasz A. Kurgan
2017 J jnl
Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity.
Briefings Bioinform.
Huilin Wang, Liubin Feng, Geoffrey I. Webb, Lukasz A. Kurgan, Jiangning Song, Donghai Lin
2017 — conf
Exploratory Analysis of Quality Assessment of Putative Intrinsic Disorder in Proteins.
ICAISC (1)
Zhonghua Wu, Gang Hu, Kui Wang, Lukasz A. Kurgan
2017 J jnl
fDETECT webserver: fast predictor of propensity for protein production, purification, and crystallization.
BMC Bioinform.
Fanchi Meng, Chen Wang, Lukasz A. Kurgan
2016 J jnl
A comprehensive comparative review of sequence-based predictors of DNA- and RNA-binding residues.
Briefings Bioinform.
Jing Yan, Stefanie Friedrich, Lukasz A. Kurgan
2016 J jnl
DFLpred: High-throughput prediction of disordered flexible linker regions in protein sequences.
Bioinform.
Fanchi Meng, Lukasz A. Kurgan
2016 J jnl
PDID: database of molecular-level putative protein-drug interactions in the structural human proteome.
Bioinform.
Chen Wang, Gang Hu, Kui Wang, Michal Brylinski, Lei Xie, Lukasz A. Kurgan
2015 C ed.
14th IEEE International Conference on Machine Learning and Applications, ICMLA 2015, Miami, FL, USA, December 9-11, 2015
ICMLA
Tao Li, Lukasz A. Kurgan, Vasile Palade, Randy Goebel, Andreas Holzinger, Karin Verspoor, M. Arif Wani
2015 J jnl
Comprehensive overview and assessment of computational prediction of microRNA targets in animals.
Briefings Bioinform.
Xiao Fan, Lukasz A. Kurgan
2015 — conf
Consensus-Based Prediction of RNA and DNA Binding Residues from Protein Sequences.
PReMI
Jing Yan, Lukasz A. Kurgan
2015 J jnl
Systematic investigation of sequence and structural motifs that recognize ATP.
Comput. Biol. Chem.
Ke Chen, Dacheng Wang, Lukasz A. Kurgan
2014 J jnl
Human structural proteome-wide characterization of Cyclosporine A targets.
Bioinform.
Gang Hu, Kui Wang, Jody Groenendyk, Khaled H. Barakat, Marcin J. Mizianty, Jishou Ruan, Marek Michalak, Lukasz A. Kurgan
2014 J jnl
Sequence-based Gaussian network model for protein dynamics.
Bioinform.
Hua Zhang, Lukasz A. Kurgan
2013 J jnl
D
Nucleic Acids Res.
Matt E. Oates, Pedro Romero, Takashi Ishida, Mohamed F. Ghalwash, Marcin J. Mizianty, Bin Xue, Zsuzsanna Dosztányi, Vladimir N. Uversky, Zoran Obradovic, Lukasz A. Kurgan, A. Keith Dunker, Julian Gough
2013 J jnl
mi-DS: Multiple-Instance Learning Algorithm.
IEEE Trans. Cybern.
Dat T. Nguyen, Cao D. Nguyen, Rosalyn Hobson Hargraves, Lukasz A. Kurgan, Krzysztof J. Cios
2012 J jnl
Learning of Fuzzy Cognitive Maps Using Density Estimate.
IEEE Trans. Syst. Man Cybern. Part B
Wojciech Stach, Witold Pedrycz, Lukasz A. Kurgan
2012 J jnl
MoRFpred, a computational tool for sequence-based prediction and characterization of short disorder-to-order transitioning binding regions in proteins.
Bioinform.
Fatemeh Miri Disfani, Wei-Lun Hsu, Marcin J. Mizianty, Christopher J. Oldfield, Bin Xue, A. Keith Dunker, Vladimir N. Uversky, Lukasz A. Kurgan
2012 — ch.
Neural Networks in Bioinformatics.
Handbook of Natural Computing
Ke Chen, Lukasz A. Kurgan
2012 Misc conf
On the Complementarity of the Consensus-Based Disorder Prediction.
Pacific Symposium on Biocomputing
Zhenling Peng, Lukasz A. Kurgan
2012 J jnl
Prediction and analysis of nucleotide-binding residues using sequence and sequence-derived structural descriptors.
Bioinform.
Ke Chen, Marcin J. Mizianty, Lukasz A. Kurgan
2012 J jnl
SPINE X: Improving protein secondary structure prediction by multistep learning coupled with prediction of solvent accessible surface area and backbone torsion angles.
J. Comput. Chem.
Eshel Faraggi, Tuo Zhang, Yuedong Yang, Lukasz A. Kurgan, Yaoqi Zhou
2011 J jnl
Critical assessment of high-throughput standalone methods for secondary structure prediction.
Briefings Bioinform.
Hua Zhang, Tuo Zhang, Ke Chen, Kanaka Durga Kedarisetti, Marcin J. Mizianty, Qingbo Bao, Wojciech Stach, Lukasz A. Kurgan
2011 J jnl
Improved Sequence-Based Prediction of Strand residues.
J. Bioinform. Comput. Biol.
Kanaka Durga Kedarisetti, Marcin J. Mizianty, Scott Dick, Lukasz A. Kurgan
2011 J jnl
In-silico prediction of disorder content using hybrid sequence representation.
BMC Bioinform.
Marcin J. Mizianty, Tuo Zhang, Bin Xue, Yaoqi Zhou, A. Keith Dunker, Vladimir N. Uversky, Lukasz A. Kurgan
2011 J jnl
Sequence-based prediction of protein crystallization, purification and production propensity.
Bioinform.
Marcin J. Mizianty, Lukasz A. Kurgan
2010 J jnl
A divide and conquer method for learning large Fuzzy Cognitive Maps.
Fuzzy Sets Syst.
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
2010 — conf
Accurate prediction of ATP-binding residues using sequence and sequence-derived structural descriptors.
BIBM
Ke Chen, Marcin J. Mizianty, Lukasz A. Kurgan
2010 J jnl
Discovery of factors influencing patent value based on machine learning in patents in the field of nanotechnology.
Scientometrics
Scott D. Bass, Lukasz A. Kurgan
2010 J jnl
Discretization as the enabling technique for the Naïve Bayes and semi-Naïve Bayes-based classification.
Knowl. Eng. Rev.
Marcin J. Mizianty, Lukasz A. Kurgan, Marek R. Ogiela
2010 J jnl
Improved sequence-based prediction of disordered regions with multilayer fusion of multiple information sources.
Bioinform.
Marcin J. Mizianty, Wojciech Stach, Ke Chen, Kanaka Durga Kedarisetti, Fatemeh Miri Disfani, Lukasz A. Kurgan
2010 — ch.
Machine Learning Algorithms Inspired by the Work of Ryszard Spencer Michalski.
Advances in Machine Learning I
Krzysztof J. Cios, Lukasz A. Kurgan
2010 J jnl
Recognition of Partially Occluded and Rotated Images With a Network of Spiking Neurons.
IEEE Trans. Neural Networks
Joo Heon Shin, Dave Smith, Waldemar Swiercz, Kevin Staley, John T. Rickard, Javier Montero, Lukasz A. Kurgan, Krzysztof J. Cios
2009 C ed.
International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009
ICMLA
M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Lukasz A. Kurgan, Yuan (Alan) Qi
2009 J jnl
Modular prediction of protein structural classes from sequences of twilight-zone identity with predicting sequences.
BMC Bioinform.
Marcin J. Mizianty, Lukasz A. Kurgan
2009 J jnl
Prediction of integral membrane protein type by collocated hydrophobic amino acid pairs.
J. Comput. Chem.
Ke Chen, Yingfu Jiang, Li Du, Lukasz A. Kurgan
2009 J jnl
Prediction of protein folding rates from primary sequences using hybrid sequence representation.
J. Comput. Chem.
Yingfu Jiang, Paul Iglinski, Lukasz A. Kurgan
2008 J jnl
A tree-projection-based algorithm for multi-label recurrent-item associative-classification rule generation.
Data Knowl. Eng.
Rafal Rak, Lukasz A. Kurgan, Marek Z. Reformat
2008 J jnl
Accurate sequence-based prediction of catalytic residues.
Bioinform.
Tuo Zhang, Hua Zhang, Ke Chen, Shiyi Shen, Jishou Ruan, Lukasz A. Kurgan
2008 C conf
Comparative Analysis of the Impact of Discretization on the Classification with Naïve Bayes and Semi-Naïve Bayes Classifiers.
ICMLA
Marcin J. Mizianty, Lukasz A. Kurgan, Marek R. Ogiela
2008 B conf
Data-driven Nonlinear Hebbian Learning method for Fuzzy Cognitive Maps.
FUZZ-IEEE
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
2008 J jnl
HuMiTar: A sequence-based method for prediction of human microRNA targets.
Algorithms Mol. Biol.
Jishou Ruan, Hanzhe Chen, Lukasz A. Kurgan, Ke Chen, Chunsheng Kang, Peiyu Pu
2008 J jnl
Impact of imputation of missing values on classification error for discrete data.
Pattern Recognit.
Alireza Farhangfar, Lukasz A. Kurgan, Jennifer G. Dy
2008 J jnl
Improved machine learning method for analysis of gas phase chemistry of peptides.
BMC Bioinform.
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Natalie Ahn, Katheryn Resing, Karen Kafadar, Krzysztof J. Cios
2008 J jnl
Numerical and Linguistic Prediction of Time Series With the Use of Fuzzy Cognitive Maps.
IEEE Trans. Fuzzy Syst.
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
2008 J jnl
Prediction of beta-turns at over 80% accuracy based on an ensemble of predicted secondary structures and multiple alignments.
BMC Bioinform.
Ce Zheng, Lukasz A. Kurgan
2008 J jnl
Prediction of protein structural class using novel evolutionary collocation-based sequence representation.
J. Comput. Chem.
Ke Chen, Lukasz A. Kurgan, Jishou Ruan
2008 J jnl
SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences.
BMC Bioinform.
Lukasz A. Kurgan, Krzysztof J. Cios, Ke Chen
2008 J jnl
Sequence based residue depth prediction using evolutionary information and predicted secondary structure.
BMC Bioinform.
Hua Zhang, Tuo Zhang, Ke Chen, Shiyi Shen, Jishou Ruan, Lukasz A. Kurgan
2008 C ed.
Seventh International Conference on Machine Learning and Applications, ICMLA 2008, San Diego, California, USA, 11-13 December 2008
ICMLA
M. Arif Wani, Xue-wen Chen, David P. Casasent, Lukasz A. Kurgan, Tony Hu, Khalid Hafeez
2008 C ed.
The Sixth International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, Ohio, USA, 13-15 December 2007
ICMLA
M. Arif Wani, Mehmed M. Kantardzic, Tao Li, Ying Liu, Lukasz A. Kurgan, Jieping Ye, Mitsunori Ogihara, Seref Sagiroglu, Xue-wen Chen, Leif E. Peterson, Khalid Hafeez
2008 — conf
Use of OWL 2 to Facilitate a Biomedical Knowledge Base Extracted from the GENIA Corpus.
OWLED
Rafal Rak, Lukasz A. Kurgan, Marek Z. Reformat
2007 J jnl
A Novel Framework for Imputation of Missing Values in Databases.
IEEE Trans. Syst. Man Cybern. Part A
Alireza Farhangfar, Lukasz A. Kurgan, Witold Pedrycz
2007 — conf
Classification of Cell Membrane Proteins.
FBIT
Seyed Koosha Golmohammadi, Lukasz A. Kurgan, Brendan Crowley, Marek Z. Reformat
2007 J jnl
PFRES: protein fold classification by using evolutionary information and predicted secondary structure.
Bioinform.
Ke Chen, Lukasz A. Kurgan
2007 B conf
Parallel Learning of Large Fuzzy Cognitive Maps.
IJCNN
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
2006 J jnl
A comment on "Prediction of protein structural classes by a new measure of information discrepancy".
Comput. Biol. Chem.
Kanaka Durga Kedarisetti, Lukasz A. Kurgan, Scott Dick
2006 J jnl
A new synaptic plasticity rule for networks of spiking neurons.
IEEE Trans. Neural Networks
Waldemar Swiercz, Krzysztof J. Cios, Kevin Staley, Lukasz A. Kurgan, Frank Accurso, Scott Sagel
2006 J jnl
A survey of Knowledge Discovery and Data Mining process models.
Knowl. Eng. Rev.
Lukasz A. Kurgan, Petr Musílek
2006 J jnl
Highly scalable and robust rule learner: performance evaluation and comparison.
IEEE Trans. Syst. Man Cybern. Part B
Lukasz A. Kurgan, Krzysztof J. Cios, Scott Dick
2006 C conf
Impact of the Predicted Protein Structural Content on Prediction of Structural Classes for the Twilight Zone Proteins.
ICMLA
Lukasz A. Kurgan, Mandana Rahbari, Leila Homaeian
2006 C conf
Optimization of the Sliding Window Size for Protein Structure Prediction.
CIBCB
Ke Chen, Lukasz A. Kurgan, Jishou Ruan
2006 J jnl
Prediction of structural classes for protein sequences and domains - Impact of prediction algorithms, sequence representation and homology, and test procedures on accuracy.
Pattern Recognit.
Lukasz A. Kurgan, Leila Homaeian
2006 C conf
Prediction of the Number of Helices for the Twilight Zone Proteins.
CIBCB
Kanaka Durga Kedarisetti, Ke Chen, Aashima Kapoor, Lukasz A. Kurgan
2006 C ed.
The Fifth International Conference on Machine Learning and Applications, ICMLA 2006, Orlando, Florida, USA, 14-16 December 2006
ICMLA
M. Arif Wani, Tao Li, Lukasz A. Kurgan, Jieping Ye, Ying Liu
2005 B conf
Evolutionary Development of Fuzzy Cognitive Maps.
FUZZ-IEEE
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz, Marek Z. Reformat
2005 C ed.
Fourth International Conference on Machine Learning and Applications, ICMLA 2005, Los Angeles, California, USA, 15-17 December 2005
ICMLA
M. Arif Wani, Mariofanna G. Milanova, Lukasz A. Kurgan, Marek Z. Reformat, Khalid Hafeez
2005 J jnl
Genetic learning of fuzzy cognitive maps.
Fuzzy Sets Syst.
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz, Marek Z. Reformat
2005 J jnl
Highly accurate and consistent method for prediction of helix and strand content from primary protein sequences.
Artif. Intell. Medicine
Jishou Ruan, Kui Wang, Jie Yang, Lukasz A. Kurgan, Krzysztof J. Cios
2005 C conf
Multi-label associative classification of medical documents from MEDLINE.
ICMLA
Rafal Rak, Lukasz A. Kurgan, Marek Z. Reformat
2005 — conf
Prediction of Secondary Protein Structure Content from Primary Sequence Alone - A Feature Selection Based Approach.
MLDM
Lukasz A. Kurgan, Leila Homaeian
2004 J jnl
CAIM Discretization Algorithm.
IEEE Trans. Knowl. Data Eng.
Lukasz A. Kurgan, Krzysztof J. Cios
2004 J jnl
CLIP4: Hybrid inductive machine learning algorithm that generates inequality rules.
Inf. Sci.
Krzysztof J. Cios, Lukasz A. Kurgan
2004 C conf
Reducing complexity of rule based models via meta mining.
ICMLA
Lukasz A. Kurgan
2003 C conf
Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm.
ICMLA
Lukasz A. Kurgan, Krzysztof J. Cios
2002 C conf
Semantic Mapping of XML Tags Using Inductive Machine Learning.
ICMLA
Lukasz A. Kurgan, Waldemar Swiercz, Krzysztof J. Cios
2001 J jnl
Knowledge discovery approach to automated cardiac SPECT diagnosis.
Artif. Intell. Medicine
Lukasz A. Kurgan, Krzysztof J. Cios, Ryszard Tadeusiewicz, Marek R. Ogiela, Lucy S. Goodenday