Lukasz A. Kurgan

	2012
57		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)
56		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)
55		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)
	2011
54		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)
53		Marcin J. Mizianty, Lukasz A. Kurgan: Sequence-based prediction of protein crystallization, purification and production propensity. Bioinformatics [ISMB/ECCB] 27(13): 24-33 (2011)
52		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)
51		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)
	2010
50		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
49		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
48		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)
47		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)
46		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)
45		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)
44		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)
	2009
43		M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Lukasz A. Kurgan, Yuan Qi: International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009 IEEE Computer Society 2009
42		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)
41		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)
40		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)
	2008
39		M. Arif Wani, Xue-wen Chen, David 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
38		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
37		Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz: Data-driven Nonlinear Hebbian Learning method for Fuzzy Cognitive Maps. FUZZ-IEEE 2008: 1975-1981
36		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
35		Rafal Rak, Lukasz A. Kurgan, Marek Reformat: Use of OWL 2 to Facilitate a Biomedical Knowledge Base Extracted from the GENIA Corpus. OWLED 2008
34		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)
33		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)
32		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)
31		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)
30		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)
29		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)
28		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)
27		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)
26		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)
25		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)
	2007
24		Seyed Koosha Golmohammadi, Lukasz A. Kurgan, Brendan Crowley, Marek Reformat: Classification of Cell Membrane Proteins. FBIT 2007: 153-158
23		Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz: Parallel Learning of Large Fuzzy Cognitive Maps. IJCNN 2007: 1584-1589
22		Ke Chen, Lukasz A. Kurgan: PFRES: protein fold classification by using evolutionary information and predicted secondary structure. Bioinformatics 23(21): 2843-2850 (2007)
21		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)
	2006
20		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
19		Ke Chen, Lukasz A. Kurgan, Jishou Ruan: Optimization of the Sliding Window Size for Protein Structure Prediction. CIBCB 2006: 1-7
18		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
17		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
16		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)
15		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)
14		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)
13		Lukasz A. Kurgan, Petr Musílek: A survey of Knowledge Discovery and Data Mining process models. Knowledge Eng. Review 21(1): 1-24 (2006)
12		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)
	2005
11		M. Arif Wani, Mariofanna G. Milanova, Lukasz A. Kurgan, Marek 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
10		Rafal Rak, Lukasz A. Kurgan, Marek Reformat: Multi-label associative classification of medical documents from MEDLINE. ICMLA 2005
9		Lukasz A. Kurgan, Leila Homaeian: Prediction of Secondary Protein Structure Content from Primary Sequence Alone - A Feature Selection Based Approach. MLDM 2005: 334-345
8		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)
7		Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz, Marek Reformat: Genetic learning of fuzzy cognitive maps. Fuzzy Sets and Systems 153(3): 371-401 (2005)
	2004
6		Lukasz A. Kurgan: Reducing complexity of rule based models via meta mining. ICMLA 2004: 242-249
5		Lukasz A. Kurgan, Krzysztof J. Cios: CAIM Discretization Algorithm. IEEE Trans. Knowl. Data Eng. 16(2): 145-153 (2004)
4		Krzysztof J. Cios, Lukasz A. Kurgan: CLIP4: Hybrid inductive machine learning algorithm that generates inequality rules. Inf. Sci. 163(1-3): 37-83 (2004)
	2003
3		Lukasz A. Kurgan, Krzysztof J. Cios: Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm. ICMLA 2003: 30-36
	2002
2		Lukasz A. Kurgan, Waldemar Swiercz, Krzysztof J. Cios: Semantic Mapping of XML Tags Using Inductive Machine Learning. ICMLA 2002: 99-109
	2001
1		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)

Coauthor Index

1	Frank Accurso	[15]
2	Natalie Ahn	[33]
3	Qingbo Bao	[52]
4	Scott D. Bass	[44]
5	David Casasent	[39]
6	Hanzhe Chen	[34]
7	Xue-wen Chen	[38] [39]
8	Ke Chen	[18] [19] [22] [26] [29] [30] [31] [34] [41] [48] [50] [52] [57]
9	Krzysztof J. Cios	[1] [2] [3] [4] [5] [8] [14] [15] [31] [33] [46] [49]
10	Brendan Crowley	[24]
11	Scott Dick	[14] [16] [51]
12	Fatemeh Miri Disfani	[48]
13	Li Du	[41]
14	A. Keith Dunker	[54]
15	Jennifer G. Dy	[25]
16	Eshel Faraggi	[55]
17	Alireza Farhangfar	[21] [25]
18	Allison Gehrke	[33]
19	Seyed Koosha Golmohammadi	[24]
20	Lucy S. Goodenday	[1]
21	Khalid Hafeez	[11] [38] [39]
22	Leila Homaeian	[9] [12] [17]
23	Tony Hu	[39]
24	Paul Iglinski	[40]
25	Yingfu Jiang	[40] [41]
26	Karen Kafadar	[33]
27	Chunsheng Kang	[34]
28	Mehmed M. Kantardzic	[38] [43]
29	Aashima Kapoor	[18]
30	Kanaka Durga Kedarisetti	[16] [18] [48] [51] [52]
31	Tao Li	[20] [38]
32	Ying Liu	[20] [38]
33	Mariofanna G. Milanova	[11]
34	Marcin J. Mizianty	[36] [42] [45] [48] [50] [51] [52] [53] [54] [57]
35	J. Montero	[46]
36	Petr Musílek	[13]
37	Marek R. Ogiela	[1] [36] [45]
38	Mitsunori Ogihara (Mitsunori Ogiwara)	[38]
39	Vasile Palade	[43]
40	Witold Pedrycz	[7] [21] [23] [27] [37] [47] [56]
41	Leif E. Peterson	[38]
42	Peiyu Pu	[34]
43	Yuan Qi	[43]
44	Mandana Rahbari	[17]
45	Rafal Rak	[10] [28] [35]
46	Marek Reformat	[7] [10] [11] [24] [28] [35]
47	Katheryn Resing	[33]
48	John T. Rickard	[46]
49	Jishou Ruan	[8] [19] [26] [29] [30] [34]
50	Scott Sagel	[15]
51	Seref Sagiroglu	[38]
52	Shiyi Shen	[29] [30]
53	Joo Heon Shin	[46]
54	Dave Smith	[46]
55	Wojciech Stach	[7] [23] [27] [37] [47] [48] [52] [56]
56	Kevin Staley	[15] [46]
57	Shaojun Sun	[33]
58	Waldemar Swiercz	[2] [15] [46]
59	Ryszard Tadeusiewicz	[1]
60	Vladimir N. Uversky	[54]
61	Kui Wang	[8]
62	M. Arif Wani	[11] [20] [38] [39] [43]
63	Bin Xue	[54]
64	Jie Yang	[8]
65	Yuedong Yang	[55]
66	Jieping Ye	[20] [38]
67	Hua Zhang	[29] [30] [52]
68	Tuo Zhang	[29] [30] [52] [54] [55]
69	Ce Zheng	[32]
70	Yaoqi Zhou	[54] [55]

Colors in the list of coauthors

Last update Fri Jun 1 15:44:53 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page