| 2009 | ||
|---|---|---|
| 32 | 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) | |
| 31 | 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 | ||
| 30 | Rafal Rak, Lukasz A. Kurgan, Marek Reformat: Use of OWL 2 to Facilitate a Biomedical Knowledge Base Extracted from the GENIA Corpus. OWLED 2008 | |
| 29 | 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) | |
| 28 | 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) | |
| 27 | 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) | |
| 26 | 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) | |
| 25 | 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) | |
| 24 | 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 | 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 | 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 | 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 | 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 | Seyed Koosha Golmohammadi, Lukasz A. Kurgan, Brendan Crowley, Marek Reformat: Classification of Cell Membrane Proteins. FBIT 2007: 153-158 | |
| 18 | Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz: Parallel Learning of Large Fuzzy Cognitive Maps. IJCNN 2007: 1584-1589 | |
| 17 | Ke Chen, Lukasz A. Kurgan: PFRES: protein fold classification by using evolutionary information and predicted secondary structure. Bioinformatics 23(21): 2843-2850 (2007) | |
| 16 | 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 | Ke Chen, Lukasz A. Kurgan, Jishou Ruan: Optimization of the Sliding Window Size for Protein Structure Prediction. CIBCB 2006: 1-7 | |
| 14 | 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 | 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 | 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 | 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 | Lukasz A. Kurgan, Petr Musílek: A survey of Knowledge Discovery and Data Mining process models. Knowledge Eng. Review 21(1): 1-24 (2006) | |
| 9 | 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 | 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 | 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 | 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 | 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) | |