Lukasz A. Kurgan

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 Research 41(Database-Issue): 508-516 (2013)

Ke Chen, Marcin J. Mizianty, Lukasz A. Kurgan: Prediction and analysis of nucleotide-binding residues using sequence and sequence-derived structural descriptors. Bioinformatics 28(3): 331-341 (2012)

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. Bioinformatics 28(12): 75-83 (2012)

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. Journal of Computational Chemistry 33(3): 259-267 (2012)

Wojciech Stach, Witold Pedrycz, Lukasz A. Kurgan: Learning of Fuzzy Cognitive Maps Using Density Estimate. IEEE Transactions on Systems, Man, and Cybernetics, Part B 42(3): 900-912 (2012)

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 in Bioinformatics 12(6): 672-688 (2011)

Marcin J. Mizianty, Lukasz A. Kurgan: Sequence-based prediction of protein crystallization, purification and production propensity. Bioinformatics [ISMB/ECCB] 27(13): 24-33 (2011)

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 Bioinformatics 12: 245 (2011)

Kanaka Durga Kedarisetti, Marcin J. Mizianty, Scott Dick, Lukasz A. Kurgan: Improved Sequence-Based Prediction of Strand residues. J. Bioinformatics and Computational Biology 9(1): 67-89 (2011)

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. Bioinformatics 26(18) (2010)

Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz: A divide and conquer method for learning large Fuzzy Cognitive Maps. Fuzzy Sets and Systems 161(19): 2515-2532 (2010)

Marcin J. Mizianty, Lukasz A. Kurgan, Marek R. Ogiela: Discretization as the enabling technique for the Naïve Bayes and semi-Naïve Bayes-based classification. Knowledge Eng. Review 25(4): 421-449 (2010)

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)

Joo Heon Shin, Dave Smith, Waldemar Swiercz, Kevin Staley, John T. Rickard, J. Montero, Lukasz A. Kurgan, Krzysztof J. Cios: Recognition of Partially Occluded and Rotated Images With a Network of Spiking Neurons. IEEE Transactions on Neural Networks 21(11): 1697-1709 (2010)

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

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

Marcin J. Mizianty, Lukasz A. Kurgan: Modular prediction of protein structural classes from sequences of twilight-zone identity with predicting sequences. BMC Bioinformatics 10: 414 (2009)

Ke Chen, Yingfu Jiang, Li Du, Lukasz A. Kurgan: Prediction of integral membrane protein type by collocated hydrophobic amino acid pairs. Journal of Computational Chemistry 30(1): 163-172 (2009)

Yingfu Jiang, Paul Iglinski, Lukasz A. Kurgan: Prediction of protein folding rates from primary sequences using hybrid sequence representation. Journal of Computational Chemistry 30(5): 772-783 (2009)

M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Lukasz A. Kurgan, Yuan Qi (Eds.): 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

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 for Molecular Biology 3 (2008)

Tuo Zhang, Hua Zhang, Ke Chen, Shiyi Shen, Jishou Ruan, Lukasz A. Kurgan: Accurate sequence-based prediction of catalytic residues. Bioinformatics 24(20): 2329-2338 (2008)

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 Bioinformatics 9 (2008)

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 Bioinformatics 9 (2008)

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 Bioinformatics 9 (2008)

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 Bioinformatics 9 (2008)

Rafal Rak, Lukasz A. Kurgan, Marek Reformat: A tree-projection-based algorithm for multi-label recurrent-item associative-classification rule generation. Data Knowl. Eng. 64(1): 171-197 (2008)

Ke Chen, Lukasz A. Kurgan, Jishou Ruan: Prediction of protein structural class using novel evolutionary collocation-based sequence representation. Journal of Computational Chemistry 29(10): 1596-1604 (2008)

Alireza Farhangfar, Lukasz A. Kurgan, Jennifer G. Dy: Impact of imputation of missing values on classification error for discrete data. Pattern Recognition 41(12): 3692-3705 (2008)

Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz: Numerical and Linguistic Prediction of Time Series With the Use of Fuzzy Cognitive Maps. IEEE T. Fuzzy Systems 16(1): 61-72 (2008)

Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz: Data-driven Nonlinear Hebbian Learning method for Fuzzy Cognitive Maps. FUZZ-IEEE 2008: 1975-1981

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

Rafal Rak, Lukasz A. Kurgan, Marek Reformat: Use of OWL 2 to Facilitate a Biomedical Knowledge Base Extracted from the GENIA Corpus. OWLED 2008

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 (Eds.): 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

M. Arif Wani, Xue-wen Chen, David Casasent, Lukasz A. Kurgan, Tony Hu, Khalid Hafeez (Eds.): 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

Ke Chen, Lukasz A. Kurgan: PFRES: protein fold classification by using evolutionary information and predicted secondary structure. Bioinformatics 23(21): 2843-2850 (2007)

Alireza Farhangfar, Lukasz A. Kurgan, Witold Pedrycz: A Novel Framework for Imputation of Missing Values in Databases. IEEE Transactions on Systems, Man, and Cybernetics, Part A 37(5): 692-709 (2007)

Seyed Koosha Golmohammadi, Lukasz A. Kurgan, Brendan Crowley, Marek Reformat: Classification of Cell Membrane Proteins. FBIT 2007: 153-158

Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz: Parallel Learning of Large Fuzzy Cognitive Maps. IJCNN 2007: 1584-1589

Kanaka Durga Kedarisetti, Lukasz A. Kurgan, Scott Dick: A comment on "Prediction of protein structural classes by a new measure of information discrepancy". Computational Biology and Chemistry 30(5): 393-394 (2006)

Lukasz A. Kurgan, Petr Musílek: A survey of Knowledge Discovery and Data Mining process models. Knowledge Eng. Review 21(1): 1-24 (2006)

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 Recognition 39(12): 2323-2343 (2006)

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 Transactions on Neural Networks 17(1): 94-105 (2006)

Lukasz A. Kurgan, Krzysztof J. Cios, Scott Dick: Highly scalable and robust rule learner: performance evaluation and comparison. IEEE Transactions on Systems, Man, and Cybernetics, Part B 36(1): 32-53 (2006)

Ke Chen, Lukasz A. Kurgan, Jishou Ruan: Optimization of the Sliding Window Size for Protein Structure Prediction. CIBCB 2006: 1-7

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

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

M. Arif Wani, Tao Li, Lukasz A. Kurgan, Jieping Ye, Ying Liu (Eds.): 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

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. Artificial Intelligence in Medicine 35(1-2): 19-35 (2005)

Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz, Marek Reformat: Genetic learning of fuzzy cognitive maps. Fuzzy Sets and Systems 153(3): 371-401 (2005)

Rafal Rak, Lukasz A. Kurgan, Marek Reformat: Multi-label associative classification of medical documents from MEDLINE. ICMLA 2005

Lukasz A. Kurgan, Leila Homaeian: Prediction of Secondary Protein Structure Content from Primary Sequence Alone - A Feature Selection Based Approach. MLDM 2005: 334-345

M. Arif Wani, Mariofanna G. Milanova, Lukasz A. Kurgan, Marek Reformat, Khalid Hafeez (Eds.): 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

Krzysztof J. Cios, Lukasz A. Kurgan: CLIP4: Hybrid inductive machine learning algorithm that generates inequality rules. Inf. Sci. 163(1-3): 37-83 (2004)

Lukasz A. Kurgan, Krzysztof J. Cios: CAIM Discretization Algorithm. IEEE Trans. Knowl. Data Eng. 16(2): 145-153 (2004)

Lukasz A. Kurgan: Reducing complexity of rule based models via meta mining. ICMLA 2004: 242-249

Lukasz A. Kurgan, Krzysztof J. Cios: Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm. ICMLA 2003: 30-36

Lukasz A. Kurgan, Waldemar Swiercz, Krzysztof J. Cios: Semantic Mapping of XML Tags Using Inductive Machine Learning. ICMLA 2002: 99-109

Lukasz A. Kurgan, Krzysztof J. Cios, Ryszard Tadeusiewicz, Marek R. Ogiela, Lucy S. Goodenday: Knowledge discovery approach to automated cardiac SPECT diagnosis. Artificial Intelligence in Medicine 23(2): 149-169 (2001)