Search results for "Lukasz A. Kurgan"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Ke Chen 0003, Marcin J. Mizianty, Lukasz A. Kurgan	Prediction and analysis of nucleotide-binding residues using sequence and sequence-derived structural descriptors.	Bioinformatics	2012	DBLP DOI BibTeX RDF
1	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	2012	DBLP DOI BibTeX RDF
1	Wojciech Stach, Witold Pedrycz, Lukasz A. Kurgan	Learning of Fuzzy Cognitive Maps Using Density Estimate.	IEEE Transactions on Systems, Man, and Cybernetics, Part B	2012	DBLP DOI BibTeX RDF
1	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	2011	DBLP DOI BibTeX RDF
1	Marcin J. Mizianty, Lukasz A. Kurgan	Sequence-based prediction of protein crystallization, purification and production propensity.	Bioinformatics [ISMB/ECCB]	2011	DBLP DOI BibTeX RDF
1	Kanaka Durga Kedarisetti, Marcin J. Mizianty, Scott Dick, Lukasz A. Kurgan	Improved Sequence-Based Prediction of Strand residues.	J. Bioinformatics and Computational Biology	2011	DBLP DOI BibTeX RDF
1	Hua Zhang, Tuo Zhang, Ke Chen 0003, 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	2011	DBLP DOI BibTeX RDF
1	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	2010	DBLP DOI BibTeX RDF
1	Marcin J. Mizianty, Wojciech Stach, Ke Chen 0003, Kanaka Durga Kedarisetti, Fatemeh Miri Disfani, Lukasz A. Kurgan	Improved sequence-based prediction of disordered regions with multilayer fusion of multiple information sources.	Bioinformatics	2010	DBLP DOI BibTeX RDF
1	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	2010	DBLP DOI BibTeX RDF
1	Scott D. Bass, Lukasz A. Kurgan	Discovery of factors influencing patent value based on machine learning in patents in the field of nanotechnology.	Scientometrics	2010	DBLP DOI BibTeX RDF
1	Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz	A divide and conquer method for learning large Fuzzy Cognitive Maps.	Fuzzy Sets and Systems	2010	DBLP DOI BibTeX RDF
1	Krzysztof J. Cios, Lukasz A. Kurgan	Machine Learning Algorithms Inspired by the Work of Ryszard Spencer Michalski.	Advances in Machine Learning I	2010	DBLP DOI BibTeX RDF
1	Ke Chen 0003, Marcin J. Mizianty, Lukasz A. Kurgan	Accurate prediction of ATP-binding residues using sequence and sequence-derived structural descriptors.	BIBM	2010	DBLP DOI BibTeX RDF
1	Marcin J. Mizianty, Lukasz A. Kurgan	Modular prediction of protein structural classes from sequences of twilight-zone identity with predicting sequences.	BMC Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Yingfu Jiang, Paul Iglinski, Lukasz A. Kurgan	Prediction of protein folding rates from primary sequences using hybrid sequence representation.	Journal of Computational Chemistry	2009	DBLP DOI BibTeX RDF
1	Ke Chen 0003, Yingfu Jiang, Li Du, Lukasz A. Kurgan	Prediction of integral membrane protein type by collocated hydrophobic amino acid pairs.	Journal of Computational Chemistry	2009	DBLP DOI BibTeX RDF
1	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	ICMLA	2009	DBLP BibTeX RDF
1	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	2008	DBLP DOI BibTeX RDF
1	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	2008	DBLP DOI BibTeX RDF
1	Lukasz A. Kurgan, Krzysztof J. Cios, Ke Chen 0003	SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences.	BMC Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Hua Zhang, Tuo Zhang, Ke Chen 0003, Shiyi Shen, Jishou Ruan, Lukasz A. Kurgan	Sequence based residue depth prediction using evolutionary information and predicted secondary structure.	BMC Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Tuo Zhang, Hua Zhang, Ke Chen 0003, Shiyi Shen, Jishou Ruan, Lukasz A. Kurgan	Accurate sequence-based prediction of catalytic residues.	Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Rafal Rak, Lukasz A. Kurgan, Marek Reformat	A tree-projection-based algorithm for multi-label recurrent-item associative-classification rule generation.	Data Knowl. Eng.	2008	DBLP DOI BibTeX RDF
1	Jishou Ruan, Hanzhe Chen, Lukasz A. Kurgan, Ke Chen 0003, Chunsheng Kang, Peiyu Pu	HuMiTar: A sequence-based method for prediction of human microRNA targets.	Algorithms for Molecular Biology	2008	DBLP DOI BibTeX RDF
1	Ke Chen 0003, Lukasz A. Kurgan, Jishou Ruan	Prediction of protein structural class using novel evolutionary collocation-based sequence representation.	Journal of Computational Chemistry	2008	DBLP DOI BibTeX RDF
1	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	2008	DBLP DOI BibTeX RDF
1	Alireza Farhangfar, Lukasz A. Kurgan, Jennifer G. Dy	Impact of imputation of missing values on classification error for discrete data.	Pattern Recognition	2008	DBLP DOI BibTeX RDF
1	Rafal Rak, Lukasz A. Kurgan, Marek Reformat	Use of OWL 2 to Facilitate a Biomedical Knowledge Base Extracted from the GENIA Corpus.	OWLED	2008	DBLP BibTeX RDF
1	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	ICMLA	2008	DBLP BibTeX RDF
1	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	ICMLA	2008	DBLP BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz	Data-driven Nonlinear Hebbian Learning method for Fuzzy Cognitive Maps.	FUZZ-IEEE	2008	DBLP DOI BibTeX RDF
1	Ke Chen 0003, Lukasz A. Kurgan	PFRES: protein fold classification by using evolutionary information and predicted secondary structure.	Bioinformatics	2007	DBLP DOI BibTeX RDF
1	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	2007	DBLP DOI BibTeX RDF
1	Seyed Koosha Golmohammadi, Lukasz A. Kurgan, Brendan Crowley, Marek Reformat	Classification of Cell Membrane Proteins.	FBIT	2007	DBLP DOI BibTeX RDF
1	Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz	Parallel Learning of Large Fuzzy Cognitive Maps.	IJCNN	2007	DBLP DOI BibTeX RDF
1	Lukasz A. Kurgan, Petr Musílek	A survey of Knowledge Discovery and Data Mining process models.	Knowledge Eng. Review	2006	DBLP DOI BibTeX RDF
1	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	2006	DBLP DOI BibTeX RDF
1	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	2006	DBLP DOI BibTeX RDF
1	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	2006	DBLP DOI BibTeX RDF
1	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	2006	DBLP DOI BibTeX RDF
1	Kanaka Durga Kedarisetti, Ke Chen 0003, Aashima Kapoor, Lukasz A. Kurgan	Prediction of the Number of Helices for the Twilight Zone Proteins.	CIBCB	2006	DBLP DOI BibTeX RDF
1	Ke Chen 0003, Lukasz A. Kurgan, Jishou Ruan	Optimization of the Sliding Window Size for Protein Structure Prediction.	CIBCB	2006	DBLP DOI BibTeX RDF
1	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	ICMLA	2006	DBLP BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	2005	DBLP DOI BibTeX RDF
1	Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz, Marek Reformat	Genetic learning of fuzzy cognitive maps.	Fuzzy Sets and Systems	2005	DBLP DOI BibTeX RDF
1	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	ICMLA	2005	DBLP BibTeX RDF
1	Rafal Rak, Lukasz A. Kurgan, Marek Reformat	Multi-label associative classification of medical documents from MEDLINE.	ICMLA	2005	DBLP DOI BibTeX RDF
1	Lukasz A. Kurgan, Leila Homaeian	Prediction of Secondary Protein Structure Content from Primary Sequence Alone - A Feature Selection Based Approach.	MLDM	2005	DBLP DOI BibTeX RDF
1	Lukasz A. Kurgan, Krzysztof J. Cios	CAIM Discretization Algorithm.	IEEE Trans. Knowl. Data Eng.	2004	DBLP DOI BibTeX RDF	Supervised discretization, class-attribute interdependency maximization, CLIP4 machine learning algorithm, classification
1	Krzysztof J. Cios, Lukasz A. Kurgan	CLIP4: Hybrid inductive machine learning algorithm that generates inequality rules.	Inf. Sci.	2004	DBLP DOI BibTeX RDF
1	Lukasz A. Kurgan	Reducing complexity of rule based models via meta mining.	ICMLA	2004	DBLP BibTeX RDF
1	Lukasz A. Kurgan, Krzysztof J. Cios	Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm.	ICMLA	2003	DBLP BibTeX RDF
1	Lukasz A. Kurgan, Waldemar Swiercz, Krzysztof J. Cios	Semantic Mapping of XML Tags Using Inductive Machine Learning.	ICMLA	2002	DBLP BibTeX RDF
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	2001	DBLP DOI BibTeX RDF

Publications of "Lukasz A. Kurgan" ( http://dblp.L3S.de/Authors/Lukasz_A._Kurgan )