Lukasz A. Kurgan

2009
27	EE	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)
26	EE	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
25	EE	Rafal Rak, Lukasz A. Kurgan, Marek Reformat: Use of OWL 2 to Facilitate a Biomedical Knowledge Base Extracted from the GENIA Corpus. OWLED 2008
24	EE	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)
23	EE	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)
22	EE	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)
21	EE	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)
20	EE	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
19	EE	Seyed Koosha Golmohammadi, Lukasz A. Kurgan, Brendan Crowley, Marek Reformat: Classification of Cell Membrane Proteins. FBIT 2007: 153-158
18	EE	Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz: Parallel Learning of Large Fuzzy Cognitive Maps. IJCNN 2007: 1584-1589
17	EE	Ke Chen, Lukasz A. Kurgan: PFRES: protein fold classification by using evolutionary information and predicted secondary structure. Bioinformatics 23(21): 2843-2850 (2007)
16	EE	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
15	EE	Ke Chen, Lukasz A. Kurgan, Jishou Ruan: Optimization of the Sliding Window Size for Protein Structure Prediction. CIBCB 2006: 1-7
14	EE	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
13	EE	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)
12	EE	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)
11	EE	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)
10	EE	Lukasz A. Kurgan, Petr Musílek: A survey of Knowledge Discovery and Data Mining process models. Knowledge Eng. Review 21(1): 1-24 (2006)
9	EE	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
8	EE	Lukasz A. Kurgan, Leila Homaeian: Prediction of Secondary Protein Structure Content from Primary Sequence Alone - A Feature Selection Based Approach. MLDM 2005: 334-345
7	EE	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)
6	EE	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
5	EE	Lukasz A. Kurgan, Krzysztof J. Cios: CAIM Discretization Algorithm. IEEE Trans. Knowl. Data Eng. 16(2): 145-153 (2004)
4	EE	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	[12]
2	Ke Chen	[14] [15] [17] [21] [24] [27]
3	Krzysztof J. Cios	[1] [2] [3] [4] [5] [7] [11] [12]
4	Brendan Crowley	[19]
5	Scott Dick	[11] [13]
6	Li Du	[27]
7	Jennifer G. Dy	[20]
8	Alireza Farhangfar	[16] [20]
9	Seyed Koosha Golmohammadi	[19]
10	Lucy S. Goodenday	[1]
11	Leila Homaeian	[8] [9]
12	Paul Iglinski	[26]
13	Yingfu Jiang	[26] [27]
14	Aashima Kapoor	[14]
15	Kanaka Durga Kedarisetti	[13] [14]
16	Petr Musílek	[10]
17	Marek R. Ogiela	[1]
18	Witold Pedrycz	[6] [16] [18] [22]
19	Rafal Rak	[23] [25]
20	Marek Reformat	[6] [19] [23] [25]
21	Jishou Ruan	[7] [15] [21] [24]
22	Scott Sagel	[12]
23	Shiyi Shen	[24]
24	Wojciech Stach	[6] [18] [22]
25	Kevin Staley	[12]
26	Waldemar Swiercz	[2] [12]
27	Ryszard Tadeusiewicz	[1]
28	Kui Wang	[7]
29	Jie Yang	[7]
30	Hua Zhang	[24]
31	Tuo Zhang	[24]

Colors in the list of coauthors