Krzysztof J. Cios
Orcid: 0000-0001-5808-5316Affiliations:
- Virginia Commonwealth University, Richmond, VA, USA
According to our database1,
Krzysztof J. Cios
authored at least 81 papers
between 1989 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on dl.acm.org
On csauthors.net:
Bibliography
2023
Mach. Learn. Knowl. Extr., June, 2023
Proceedings of the Advances in Computational Intelligence, 2023
2022
CoRR, 2022
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022
2021
CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks.
Frontiers Comput. Neurosci., 2021
2020
Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms.
Knowl. Based Syst., 2020
Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Inf. Fusion, 2019
Uniqueness of Medical Data Mining: How the new technologies and data they generate are transforming medicine.
CoRR, 2019
2018
RNN-DBSCAN: A Density-Based Clustering Algorithm Using Reverse Nearest Neighbor Density Estimates.
IEEE Trans. Knowl. Data Eng., 2018
Review of ensembles of multi-label classifiers: Models, experimental study and prospects.
Inf. Fusion, 2018
Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018
2017
Soft Comput., 2017
2016
Soft Comput., 2016
2015
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015
2014
J. Supercomput., 2014
Simulating Vertical and Horizontal Inhibition with Short-Term Dynamics in a Multi-column Multi-Layer Model of neocortex.
Int. J. Neural Syst., 2014
2013
2011
Modeling of Multisensory Convergence with a Network of Spiking Neurons: A Reverse Engineering Approach.
IEEE Trans. Biomed. Eng., 2011
J. Biomed. Informatics, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
2010
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010
Recognition of Partially Occluded and Rotated Images With a Network of Spiking Neurons.
IEEE Trans. Neural Networks, 2010
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Discovering relational knowledge from two disjoint sets of literatures using inductive Logic Programming.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009
Proceedings of the Artificial Intelligence in Medicine, 2009
2008
A Very Simple Spiking Neuron Model That Allows for Modeling of Large, Complex Systems.
Neural Comput., 2008
CLusFCM: an Algorithm for Predicting protein Functions Using homologies and protein Interactions.
J. Bioinform. Comput. Biol., 2008
Image recognition system based on novel measures of image similarity and cluster validity.
Neurocomputing, 2008
SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences.
BMC Bioinform., 2008
BMC Bioinform., 2008
Prediction of Protein Functions from Protein Interaction Networks: A Naïve Bayes Approach.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification.
Proceedings of the Data Mining and Analytics 2008, 2008
2007
J. Bioinform. Comput. Biol., 2007
Int. J. Bioinform. Res. Appl., 2007
2006
IEEE Trans. Syst. Man Cybern. Part B, 2006
IEEE Trans. Neural Networks, 2006
Int. J. Bioinform. Res. Appl., 2006
2005
Highly accurate and consistent method for prediction of helix and strand content from primary protein sequences.
Artif. Intell. Medicine, 2005
SiMCAL 1 algorithm for analysis of gene expression data related to the phosphatidylserine receptor.
Artif. Intell. Medicine, 2005
Artif. Intell. Medicine, 2005
Proceedings of the Advances in Bioinformatics and Its Applications, 2005
2004
Inf. Sci., 2004
2003
Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm.
Proceedings of the 2003 International Conference on Machine Learning and Applications, 2003
Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003
2002
Artif. Intell. Medicine, 2002
Semantic Mapping of XML Tags Using Inductive Machine Learning.
Proceedings of the 2002 International Conference on Machine Learning and Applications, 2002
Spiking Neurons in Clustering of Diabetic Retinopathy Data.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002
2001
Data Mining in Finance: Advances in Relational and Hybrid Methods. Boris Kovalerchuk and Evgenii Vityaev, Kluwer, Dordrecht, 2000, 308 pp., ISBN 0-7923-7804-0.
Neurocomputing, 2001
Fuzzy classifier design: Ludmila Kuncheva; Physica-Verlag and Springer, Wurzburg and Berlin, 2000, 315 pp. ISBN 3-7908-1298-6.
Neurocomputing, 2001
Artif. Intell. Medicine, 2001
2000
IEEE Trans. Neural Networks Learn. Syst., 2000
1999
IEEE Trans. Neural Networks, 1999
1998
Neurocomputing, 1998
1997
Neurocomputing, 1997
A Spatio-Temporal Computer Model of Dynamic Organization Properties of the Adult Primate Somatosensory System.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997
1996
Time series forecasting by combining RBF networks, certainty factors, and the Box-Jenkins model.
Neurocomputing, 1996
Comput. Biol. Medicine, 1996
Proceedings of the Ninth IEEE Symposium on Computer-Based Medical Systems (CBMS '96), 1996
1995
1992
A machine learning method for generation of a neural network architecture: a continuous ID3 algorithm.
IEEE Trans. Neural Networks, 1992
1991
1990
An expert system for diagnosis of coronary artery stenosis based on 201Tl scintigrams using the Dempster-Shafer theory of evidence.
Comput. Appl. Biosci., 1990
1989
Proceedings of the Computer Assisted Learning, 2nd International Conference, 1989