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ORCIDLukasz A. Kurgan
Person information
- affiliation: Virginia Commonwealth University, Richmond, VA, USA
- affiliation (former): University of Alberta, Edmonton, Canada
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2020 – today
- 2023
[j75]Zhenling Peng
, Zixia Li, Qiaozhen Meng, Bi Zhao, Lukasz A. Kurgan:
CLIP: accurate prediction of disordered linear interacting peptides from protein sequences using co-evolutionary information. Briefings Bioinform. 24(1) (2023)- [j74]Meng Wang, Lukasz A. Kurgan, Min Li:
A comprehensive assessment and comparison of tools for HLA class I peptide-binding prediction. Briefings Bioinform. 24(3) (2023) - [j73]Fuyi Li, Cong Wang, Xudong Guo, Tatsuya Akutsu, Geoffrey I. Webb, Lachlan J. M. Coin, Lukasz A. Kurgan, Jiangning Song:
ProsperousPlus: a one-stop and comprehensive platform for accurate protease-specific substrate cleavage prediction and machine-learning model construction. Briefings Bioinform. 24(6) (2023) - [j72]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:
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins. Nucleic Acids Res. 51(W1): 62-69 (2023) - [j71]Sushmita Basu, Jörg Gsponer, Lukasz A. Kurgan:
DEPICTER2: a comprehensive webserver for intrinsic disorder and disorder function prediction. Nucleic Acids Res. 51(W1): 141-147 (2023) - 2022
- [j70]Fuhao Zhang, Bi Zhao, Wenbo Shi, Min Li, Lukasz A. Kurgan:
DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning. Briefings Bioinform. 23(1) (2022) - [j69]Fang-Xiang Wu, Min Li, Lukasz A. Kurgan, Luis Rueda:
Guest editorial: Deep neural networks for precision medicine. Neurocomputing 469: 330-331 (2022) - [j68]Zhen Chen, Xuhan Liu, Pei Zhao, Chen Li, Yanan Wang, Fuyi Li, Tatsuya Akutsu, Chris Bain, Robin B. Gasser, Junzhou Li, Zuoren Yang, Xin Gao, Lukasz A. Kurgan, Jiangning Song:
iFeatureOmega: an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets. Nucleic Acids Res. 50(W1): 434-447 (2022) - 2021
- [j67]Huaming Chen, Fuyi Li, Lei Wang, Yaochu Jin, Chi-Hung Chi, Lukasz A. Kurgan, Jiangning Song, Jun Shen:
Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactions. Briefings Bioinform. 22(3) (2021) - [j66]Jian Zhang, Sina Ghadermarzi, Akila Katuwawala, Lukasz A. Kurgan:
DNAgenie: accurate prediction of DNA-type-specific binding residues in protein sequences. Briefings Bioinform. 22(6) (2021) - [j65]Sina Ghadermarzi, Bartosz Krawczyk, Jiangning Song, Lukasz A. Kurgan:
XRRpred: accurate predictor of crystal structure quality from protein sequence. Bioinform. 37(23): 4366-4374 (2021) - [j64]Akila Katuwawala, Bi Zhao, Lukasz A. Kurgan:
DisoLipPred: accurate prediction of disordered lipid-binding residues in protein sequences with deep recurrent networks and transfer learning. Bioinform. 38(1): 115-124 (2021) - [j63]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:
DescribePROT: database of amino acid-level protein structure and function predictions. Nucleic Acids Res. 49(Database-Issue): D298-D308 (2021) - [e7]Yufei Huang, Lukasz A. Kurgan, Feng Luo, Xiaohua Hu, Yidong Chen, Edward R. Dougherty, Andrzej Kloczkowski, Yaohang Li:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021. IEEE 2021, ISBN 978-1-6654-0126-5 [contents] - 2020
- [j62]Akila Katuwawala, Christopher J. Oldfield, Lukasz A. Kurgan:
Accuracy of protein-level disorder predictions. Briefings Bioinform. 21(5): 1509-1522 (2020) - [j61]Jian Zhang, Zhiqiang Ma, Lukasz A. Kurgan:
Corrigendum to: Comprehensive review and empirical analysis of hallmarks of DNA-, RNA- and protein-binding residues in protein chains. Briefings Bioinform. 21(5): 1856 (2020) - [j60]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:
DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites. Bioinform. 36(4): 1057-1065 (2020) - [j59]Jian Zhang, Sina Ghadermarzi, Lukasz A. Kurgan:
Prediction of protein-binding residues: dichotomy of sequence-based methods developed using structured complexes versus disordered proteins. Bioinform. 36(18): 4729-4738 (2020) - [j58]Fuhao Zhang, Wenbo Shi, Jian Zhang, Min Zeng, Min Li, Lukasz A. Kurgan:
PROBselect: accurate prediction of protein-binding residues from proteins sequences via dynamic predictor selection. Bioinform. 36(Supplement-2): i735-i744 (2020) - [j57]Liangliang Liu, Lukasz A. Kurgan, Fang-Xiang Wu, Jianxin Wang:
Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease. Medical Image Anal. 65: 101791 (2020) - [j56]Abdollah Amirkhani, Mojtaba Kolahdoozi, Chen Wang, Lukasz A. Kurgan:
Prediction of DNA-Binding Residues in Local Segments of Protein Sequences with Fuzzy Cognitive Maps. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1372-1382 (2020) - [c20]Lukasz A. Kurgan, Predrag Radivojac, Joel L. Sussman, A. Keith Dunker:
Session Introduction. PSB 2020: 149-158 - [c19]Sina Ghadermarzi, Akila Katuwawala, Christopher J. Oldfield, Amita Barik, Lukasz A. Kurgan:
Disordered Function Conjunction: On the In-Silico Function Annotation of Intrinsically DisorderedRegions. PSB 2020: 171-182
2010 – 2019
- 2019
- [j55]Jian Zhang, Zhiqiang Ma, Lukasz A. Kurgan:
Comprehensive review and empirical analysis of hallmarks of DNA-, RNA- and protein-binding residues in protein chains. Briefings Bioinform. 20(4): 1250-1268 (2019) - [j54]Chen Wang, Lukasz A. Kurgan:
Review and comparative assessment of similarity-based methods for prediction of drug-protein interactions in the druggable human proteome. Briefings Bioinform. 20(6): 2066-2087 (2019) - [j53]Gang Hu, Zhonghua Wu, Christopher J. Oldfield, Chen Wang, Lukasz A. Kurgan:
Quality assessment for the putative intrinsic disorder in proteins. Bioinform. 35(10): 1692-1700 (2019) - [j52]Jian Zhang, Lukasz A. Kurgan:
SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences. Bioinform. 35(14): i343-i353 (2019) - 2018
- [j51]Jian Zhang, Lukasz A. Kurgan:
Review and comparative assessment of sequence-based predictors of protein-binding residues. Briefings Bioinform. 19(5): 821-837 (2018) - [j50]Huilin Wang, Liubin Feng, Geoffrey I. Webb, Lukasz A. Kurgan, Jiangning Song, Donghai Lin:
Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity. Briefings Bioinform. 19(5): 838-852 (2018) - 2017
- [j49]Huilin Wang, Liubin Feng, Geoffrey I. Webb, Lukasz A. Kurgan, Jiangning Song, Donghai Lin:
Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity. Briefings Bioinform. 18(6): 1092 (2017) - [j48]Fanchi Meng, Chen Wang, Lukasz A. Kurgan:
fDETECT webserver: fast predictor of propensity for protein production, purification, and crystallization. BMC Bioinform. 18(1): 580:1-580:11 (2017) - [c18]Zhonghua Wu, Gang Hu, Kui Wang, Lukasz A. Kurgan:
Exploratory Analysis of Quality Assessment of Putative Intrinsic Disorder in Proteins. ICAISC (1) 2017: 722-732 - 2016
- [j47]Jing Yan, Stefanie Friedrich, Lukasz A. Kurgan:
A comprehensive comparative review of sequence-based predictors of DNA- and RNA-binding residues. Briefings Bioinform. 17(1): 88-105 (2016) - [j46]Chen Wang, Gang Hu, Kui Wang, Michal Brylinski, Lei Xie, Lukasz A. Kurgan:
PDID: database of molecular-level putative protein-drug interactions in the structural human proteome. Bioinform. 32(4): 579-586 (2016) - [j45]Fanchi Meng, Lukasz A. Kurgan:
DFLpred: High-throughput prediction of disordered flexible linker regions in protein sequences. Bioinform. 32(12): 341-350 (2016) - 2015
- [j44]Xiao Fan, Lukasz A. Kurgan:
Comprehensive overview and assessment of computational prediction of microRNA targets in animals. Briefings Bioinform. 16(5): 780-794 (2015) - [j43]Ke Chen, Dacheng Wang, Lukasz A. Kurgan:
Systematic investigation of sequence and structural motifs that recognize ATP. Comput. Biol. Chem. 56: 131-141 (2015) - [c17]Jing Yan, Lukasz A. Kurgan:
Consensus-Based Prediction of RNA and DNA Binding Residues from Protein Sequences. PReMI 2015: 501-511 - [e6]Tao Li, Lukasz A. Kurgan, Vasile Palade, Randy Goebel, Andreas Holzinger, Karin Verspoor, M. Arif Wani:
14th IEEE International Conference on Machine Learning and Applications, ICMLA 2015, Miami, FL, USA, December 9-11, 2015. IEEE 2015, ISBN 978-1-5090-0287-0 [contents] - 2014
- [j42]Hua Zhang, Lukasz A. Kurgan:
Sequence-based Gaussian network model for protein dynamics. Bioinform. 30(4): 497-505 (2014) - [j41]Gang Hu, Kui Wang, Jody Groenendyk, Khaled H. Barakat, Marcin J. Mizianty, Jishou Ruan, Marek Michalak, Lukasz A. Kurgan:
Human structural proteome-wide characterization of Cyclosporine A targets. Bioinform. 30(24): 3561-3566 (2014) - 2013
- [j40]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:
D2P2: database of disordered protein predictions. Nucleic Acids Res. 41(Database-Issue): 508-516 (2013) - [j39]Dat T. Nguyen, Cao D. Nguyen, Rosalyn Hobson Hargraves, Lukasz A. Kurgan, Krzysztof J. Cios:
mi-DS: Multiple-Instance Learning Algorithm. IEEE Trans. Cybern. 43(1): 143-154 (2013) - 2012
- [j38]Ke Chen, Marcin J. Mizianty, Lukasz A. Kurgan:
Prediction and analysis of nucleotide-binding residues using sequence and sequence-derived structural descriptors. Bioinform. 28(3): 331-341 (2012) - [j37]Fatemeh Miri Disfani, Wei-Lun Hsu, Marcin J. Mizianty, Christopher J. Oldfield, Bin Xue, A. Keith Dunker, Vladimir N. Uversky, Lukasz A. Kurgan:
MoRFpred, a computational tool for sequence-based prediction and characterization of short disorder-to-order transitioning binding regions in proteins. Bioinform. 28(12): 75-83 (2012) - [j36]Eshel Faraggi, Tuo Zhang, Yuedong Yang, Lukasz A. Kurgan, Yaoqi Zhou:
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. 33(3): 259-267 (2012) - [j35]Wojciech Stach, Witold Pedrycz, Lukasz A. Kurgan:
Learning of Fuzzy Cognitive Maps Using Density Estimate. IEEE Trans. Syst. Man Cybern. Part B 42(3): 900-912 (2012) - [c16]Zhenling Peng, Lukasz A. Kurgan:
On the Complementarity of the Consensus-Based Disorder Prediction. Pacific Symposium on Biocomputing 2012: 176-187 - [p2]Ke Chen, Lukasz A. Kurgan:
Neural Networks in Bioinformatics. Handbook of Natural Computing 2012: 565-583 - 2011
- [j34]Hua Zhang, Tuo Zhang, Ke Chen, Kanaka Durga Kedarisetti, Marcin J. Mizianty, Qingbo Bao, Wojciech Stach, Lukasz A. Kurgan:
Critical assessment of high-throughput standalone methods for secondary structure prediction. Briefings Bioinform. 12(6): 672-688 (2011) - [j33]Marcin J. Mizianty, Lukasz A. Kurgan:
Sequence-based prediction of protein crystallization, purification and production propensity. Bioinform. 27(13): 24-33 (2011) - [j32]Marcin J. Mizianty, Tuo Zhang, Bin Xue, Yaoqi Zhou, A. Keith Dunker, Vladimir N. Uversky, Lukasz A. Kurgan:
In-silico prediction of disorder content using hybrid sequence representation. BMC Bioinform. 12: 245 (2011) - [j31]Kanaka Durga Kedarisetti, Marcin J. Mizianty, Scott Dick, Lukasz A. Kurgan:
Improved Sequence-Based Prediction of Strand residues. J. Bioinform. Comput. Biol. 9(1): 67-89 (2011) - 2010
- [j30]Marcin J. Mizianty, Wojciech Stach, Ke Chen, Kanaka Durga Kedarisetti, Fatemeh Miri Disfani, Lukasz A. Kurgan:
Improved sequence-based prediction of disordered regions with multilayer fusion of multiple information sources. Bioinform. 26(18) (2010) - [j29]Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz:
A divide and conquer method for learning large Fuzzy Cognitive Maps. Fuzzy Sets Syst. 161(19): 2515-2532 (2010) - [j28]Marcin J. Mizianty, Lukasz A. Kurgan, Marek R. Ogiela:
Discretization as the enabling technique for the Naïve Bayes and semi-Naïve Bayes-based classification. Knowl. Eng. Rev. 25(4): 421-449 (2010) - [j27]Scott D. Bass, Lukasz A. Kurgan:
Discovery of factors influencing patent value based on machine learning in patents in the field of nanotechnology. Scientometrics 82(2): 217-241 (2010) - [j26]Joo Heon Shin, Dave Smith, Waldemar Swiercz, Kevin Staley, John T. Rickard, Javier Montero, Lukasz A. Kurgan, Krzysztof J. Cios:
Recognition of Partially Occluded and Rotated Images With a Network of Spiking Neurons. IEEE Trans. Neural Networks 21(11): 1697-1709 (2010) - [c15]Ke Chen, Marcin J. Mizianty, Lukasz A. Kurgan:
Accurate prediction of ATP-binding residues using sequence and sequence-derived structural descriptors. BIBM 2010: 43-48 - [p1]Krzysztof J. Cios, Lukasz A. Kurgan:
Machine Learning Algorithms Inspired by the Work of Ryszard Spencer Michalski. Advances in Machine Learning I 2010: 49-74
2000 – 2009
- 2009
- [j25]Marcin J. Mizianty, Lukasz A. Kurgan:
Modular prediction of protein structural classes from sequences of twilight-zone identity with predicting sequences. BMC Bioinform. 10: 414 (2009) - [j24]Ke Chen, Yingfu Jiang, Li Du, Lukasz A. Kurgan:
Prediction of integral membrane protein type by collocated hydrophobic amino acid pairs. J. Comput. Chem. 30(1): 163-172 (2009) - [j23]Yingfu Jiang, Paul Iglinski, Lukasz A. Kurgan:
Prediction of protein folding rates from primary sequences using hybrid sequence representation. J. Comput. Chem. 30(5): 772-783 (2009) - [e5]M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Lukasz A. Kurgan, Yuan (Alan) Qi:
International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009. IEEE Computer Society 2009, ISBN 978-0-7695-3926-3 [contents] - 2008
- [j22]Jishou Ruan, Hanzhe Chen, Lukasz A. Kurgan, Ke Chen, Chunsheng Kang, Peiyu Pu:
HuMiTar: A sequence-based method for prediction of human microRNA targets. Algorithms Mol. Biol. 3 (2008) - [j21]Tuo Zhang, Hua Zhang, Ke Chen, Shiyi Shen, Jishou Ruan, Lukasz A. Kurgan:
Accurate sequence-based prediction of catalytic residues. Bioinform. 24(20): 2329-2338 (2008) - [j20]Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Natalie Ahn, Katheryn Resing, Karen Kafadar, Krzysztof J. Cios:
Improved machine learning method for analysis of gas phase chemistry of peptides. BMC Bioinform. 9 (2008) - [j19]Lukasz A. Kurgan, Krzysztof J. Cios, Ke Chen:
SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences. BMC Bioinform. 9 (2008) - [j18]Hua Zhang, Tuo Zhang, Ke Chen, Shiyi Shen, Jishou Ruan, Lukasz A. Kurgan:
Sequence based residue depth prediction using evolutionary information and predicted secondary structure. BMC Bioinform. 9 (2008) - [j17]Ce Zheng, Lukasz A. Kurgan:
Prediction of beta-turns at over 80% accuracy based on an ensemble of predicted secondary structures and multiple alignments. BMC Bioinform. 9 (2008) - [j16]Rafal Rak, Lukasz A. Kurgan, Marek Z. Reformat:
A tree-projection-based algorithm for multi-label recurrent-item associative-classification rule generation. Data Knowl. Eng. 64(1): 171-197 (2008) - [j15]Ke Chen, Lukasz A. Kurgan, Jishou Ruan:
Prediction of protein structural class using novel evolutionary collocation-based sequence representation. J. Comput. Chem. 29(10): 1596-1604 (2008) - [j14]Alireza Farhangfar, Lukasz A. Kurgan, Jennifer G. Dy:
Impact of imputation of missing values on classification error for discrete data. Pattern Recognit. 41(12): 3692-3705 (2008) - [j13]Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz:
Numerical and Linguistic Prediction of Time Series With the Use of Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 16(1): 61-72 (2008) - [c14]Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz:
Data-driven Nonlinear Hebbian Learning method for Fuzzy Cognitive Maps. FUZZ-IEEE 2008: 1975-1981 - [c13]Marcin J. Mizianty, Lukasz A. Kurgan, Marek R. Ogiela:
Comparative Analysis of the Impact of Discretization on the Classification with Naïve Bayes and Semi-Naïve Bayes Classifiers. ICMLA 2008: 823-828 - [c12]Rafal Rak, Lukasz A. Kurgan, Marek Z. Reformat:
Use of OWL 2 to Facilitate a Biomedical Knowledge Base Extracted from the GENIA Corpus. OWLED 2008 - [e4]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:
The Sixth International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, Ohio, USA, 13-15 December 2007. IEEE Computer Society 2008, ISBN 0-7695-3069-9 [contents] - [e3]M. Arif Wani, Xue-wen Chen, David P. Casasent, Lukasz A. Kurgan, Tony Hu, Khalid Hafeez:
Seventh International Conference on Machine Learning and Applications, ICMLA 2008, San Diego, California, USA, 11-13 December 2008. IEEE Computer Society 2008, ISBN 978-0-7695-3495-4 [contents] - 2007
- [j12]Ke Chen, Lukasz A. Kurgan:
PFRES: protein fold classification by using evolutionary information and predicted secondary structure. Bioinform. 23(21): 2843-2850 (2007) - [j11]Alireza Farhangfar, Lukasz A. Kurgan, Witold Pedrycz:
A Novel Framework for Imputation of Missing Values in Databases. IEEE Trans. Syst. Man Cybern. Part A 37(5): 692-709 (2007) - [c11]Seyed Koosha Golmohammadi, Lukasz A. Kurgan, Brendan Crowley, Marek Z. Reformat:
Classification of Cell Membrane Proteins. FBIT 2007: 153-158 - [c10]Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz:
Parallel Learning of Large Fuzzy Cognitive Maps. IJCNN 2007: 1584-1589 - 2006
- [j10]Kanaka Durga Kedarisetti, Lukasz A. Kurgan, Scott Dick:
A comment on "Prediction of protein structural classes by a new measure of information discrepancy". Comput. Biol. Chem. 30(5): 393-394 (2006) - [j9]Lukasz A. Kurgan, Petr Musílek:
A survey of Knowledge Discovery and Data Mining process models. Knowl. Eng. Rev. 21(1): 1-24 (2006) - [j8]Lukasz A. Kurgan, Leila Homaeian:
Prediction of structural classes for protein sequences and domains - Impact of prediction algorithms, sequence representation and homology, and test procedures on accuracy. Pattern Recognit. 39(12): 2323-2343 (2006) - [j7]Waldemar Swiercz, Krzysztof J. Cios, Kevin Staley, Lukasz A. Kurgan, Frank Accurso, Scott Sagel:
A new synaptic plasticity rule for networks of spiking neurons. IEEE Trans. Neural Networks 17(1): 94-105 (2006) - [j6]Lukasz A. Kurgan, Krzysztof J. Cios, Scott Dick:
Highly scalable and robust rule learner: performance evaluation and comparison. IEEE Trans. Syst. Man Cybern. Part B 36(1): 32-53 (2006) - [c9]Ke Chen, Lukasz A. Kurgan, Jishou Ruan:
Optimization of the Sliding Window Size for Protein Structure Prediction. CIBCB 2006: 1-7 - [c8]Kanaka Durga Kedarisetti, Ke Chen, Aashima Kapoor, Lukasz A. Kurgan:
Prediction of the Number of Helices for the Twilight Zone Proteins. CIBCB 2006: 1-7 - [c7]Lukasz A. Kurgan, Mandana Rahbari, Leila Homaeian:
Impact of the Predicted Protein Structural Content on Prediction of Structural Classes for the Twilight Zone Proteins. ICMLA 2006: 180-186 - [e2]M. Arif Wani, Tao Li, Lukasz A. Kurgan, Jieping Ye, Ying Liu:
The Fifth International Conference on Machine Learning and Applications, ICMLA 2006, Orlando, Florida, USA, 14-16 December 2006. IEEE Computer Society 2006, ISBN 0-7695-2735-3 [contents] - 2005
- [j5]Jishou Ruan, Kui Wang, Jie Yang, Lukasz A. Kurgan, Krzysztof J. Cios:
Highly accurate and consistent method for prediction of helix and strand content from primary protein sequences. Artif. Intell. Medicine 35(1-2): 19-35 (2005) - [j4]Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz, Marek Z. Reformat:
Genetic learning of fuzzy cognitive maps. Fuzzy Sets Syst. 153(3): 371-401 (2005) - [c6]Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz, Marek Z. Reformat:
Evolutionary Development of Fuzzy Cognitive Maps. FUZZ-IEEE 2005: 619-624 - [c5]Rafal Rak, Lukasz A. Kurgan, Marek Z. Reformat:
Multi-label associative classification of medical documents from MEDLINE. ICMLA 2005 - [c4]Lukasz A. Kurgan, Leila Homaeian:
Prediction of Secondary Protein Structure Content from Primary Sequence Alone - A Feature Selection Based Approach. MLDM 2005: 334-345 - [e1]M. Arif Wani, Mariofanna G. Milanova, Lukasz A. Kurgan, Marek Z. Reformat, Khalid Hafeez:
Fourth International Conference on Machine Learning and Applications, ICMLA 2005, Los Angeles, California, USA, 15-17 December 2005. IEEE Computer Society 2005, ISBN 0-7695-2495-8 [contents] - 2004
- [j3]Krzysztof J. Cios, Lukasz A. Kurgan:
CLIP4: Hybrid inductive machine learning algorithm that generates inequality rules. Inf. Sci. 163(1-3): 37-83 (2004) - [j2]Lukasz A. Kurgan, Krzysztof J. Cios:
CAIM Discretization Algorithm. IEEE Trans. Knowl. Data Eng. 16(2): 145-153 (2004) - [c3]Lukasz A. Kurgan:
Reducing complexity of rule based models via meta mining. ICMLA 2004: 242-249 - 2003
- [c2]Lukasz A. Kurgan, Krzysztof J. Cios:
Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm. ICMLA 2003: 30-36 - 2002
- [c1]Lukasz A. Kurgan, Waldemar Swiercz, Krzysztof J. Cios:
Semantic Mapping of XML Tags Using Inductive Machine Learning. ICMLA 2002: 99-109 - 2001
- [j1]Lukasz A. Kurgan, Krzysztof J. Cios, Ryszard Tadeusiewicz, Marek R. Ogiela, Lucy S. Goodenday:
Knowledge discovery approach to automated cardiac SPECT diagnosis. Artif. Intell. Medicine 23(2): 149-169 (2001) - [d2]Krzysztof J. Cios, Lukasz A. Kurgan, Lucy S. Goodenday:
SPECT Heart. UCI Machine Learning Repository, 2001
- [d1]Krzysztof J. Cios, Lukasz A. Kurgan, Lucy S. Goodenday:
SPECTF Heart. UCI Machine Learning Repository, 2001
Coauthor Index