Krzysztof J. Cios

Orcid: 0000-0001-5808-5316

Affiliations:
  • Virginia Commonwealth University, Richmond, VA, USA


According to our database1, Krzysztof J. Cios authored at least 80 papers between 1989 and 2023.

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Bibliography

2023
Improving Spiking Neural Network Performance with Auxiliary Learning.
Mach. Learn. Knowl. Extr., June, 2023

TM-SNN: Threshold Modulated Spiking Neural Network for Multi-task Learning.
Proceedings of the Advances in Computational Intelligence, 2023

2022
MT-SNN: Spiking Neural Network that Enables Single-Tasking of Multiple Tasks.
CoRR, 2022

Reproducing Aplysia R-15 Bursting Neurodynamics on a Neuromorphic Microchip.
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
An evolutionary approach to build ensembles of multi-label classifiers.
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

Deep Neural Networks - A Brief History.
Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018

2017
Multi-objective genetic programming for feature extraction and data visualization.
Soft Comput., 2017

2016
ur-CAIM: improved CAIM discretization for unbalanced and balanced data.
Soft Comput., 2016

2015
Mice Protein Expression.
Dataset, August, 2015

Rule-based OneClass-DS learning algorithm.
Appl. Soft Comput., 2015

Extracting News Sentiment and Establishing Its Relationship with the S&P 500 Index.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

2014
Diabetes 130-US hospitals for years 1999-2008.
Dataset, May, 2014

Scalable CAIM discretization on multiple GPUs using concurrent kernels.
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
mi-DS: Multiple-Instance Learning Algorithm.
IEEE Trans. Cybern., 2013

2011
Modeling of Multisensory Convergence with a Network of Spiking Neurons: A Reverse Engineering Approach.
IEEE Trans. Biomed. Eng., 2011

Protein annotation from protein interaction networks and Gene Ontology.
J. Biomed. Informatics, 2011

Visualization of highly-dimensional data in 3D space.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

2010
Machine Learning Algorithms Inspired by the Work of Ryszard Spencer Michalski.
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

miDivCon: Framework and method for Multiple Instance Learning.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

A spiking neural network alternative for the analog to digital converter.
Proceedings of the International Joint Conference on Neural Networks, 2010

A Neuronal Multisensory Processing Simulator.
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

Analysis of EEG Epileptic Signals with Rough Sets and Support Vector Machines.
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

GAKREM: A novel hybrid clustering algorithm.
Inf. Sci., 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

Improved machine learning method for analysis of gas phase chemistry of peptides.
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
A Hidden Markov Model for Predicting protein Interfaces.
J. Bioinform. Comput. Biol., 2007

Proteomic data mining using predicted peptide chromatographic retention times.
Int. J. Bioinform. Res. Appl., 2007

2006
Highly scalable and robust rule learner: performance evaluation and comparison.
IEEE Trans. Syst. Man Cybern. Part B, 2006

A new synaptic plasticity rule for networks of spiking neurons.
IEEE Trans. Neural Networks, 2006

A rich analytical environment for flow cytometry experimental results.
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

Computational intelligence in solving bioinformatics problems.
Artif. Intell. Medicine, 2005

Identification of contaminants in MALDI-ToF proteomics spectra via Data Mining.
Proceedings of the Advances in Bioinformatics and Its Applications, 2005

2004
CAIM Discretization Algorithm.
IEEE Trans. Knowl. Data Eng., 2004

CLIP4: Hybrid inductive machine learning algorithm that generates inequality rules.
Inf. Sci., 2004

Networks of spiking neurons in modeling and problem solving.
Neurocomputing, 2004

2003
Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm.
Proceedings of the 2003 International Conference on Machine Learning and Applications, 2003

Identification of Contaminants in Proteomics Mass Spectrometry Data.
Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003

2002
Bayesian learning for cardiac SPECT image interpretation.
Artif. Intell. Medicine, 2002

Uniqueness of medical data mining.
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
SPECTF Heart.
Dataset, September, 2001

SPECT Heart.
Dataset, September, 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

Knowledge discovery approach to automated cardiac SPECT diagnosis.
Artif. Intell. Medicine, 2001

2000
Synthesis of feedforward networks in supremum error bound.
IEEE Trans. Neural Networks Learn. Syst., 2000

1999
Solving graph algorithms with networks of spiking neurons.
IEEE Trans. Neural Networks, 1999

1998
Data Mining Methods for Knowledge Discovery.
IEEE Trans. Neural Networks, 1998

Certainty factors versus Parzen windows as reliability measures in RBF networks.
Neurocomputing, 1998

1997
Ontogenic neuro-fuzzy algorithm: F-CID3.
Neurocomputing, 1997

Neural-networks-based adaptive control of flexible robotic arms.
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

Inductive machine learning for instrument development.
Inf. Manag., 1996

A neuro-fuzzy algorithm for diagnosis of coronary artery stenosis.
Comput. Biol. Medicine, 1996

A novel algorithm for classification of SPECT images of a human heart.
Proceedings of the Ninth IEEE Symposium on Computer-Based Medical Systems (CBMS '96), 1996

1995
Image Recognition Neural Network: IRNN.
Neurocomputing, 1995

1992
A machine learning method for generation of a neural network architecture: a continuous ID3 algorithm.
IEEE Trans. Neural Networks, 1992

1991
Using Fuzzy Sets to Diagnose Coronary Artery Stenosis.
Computer, 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
Knowledge Based Intelligent Tutoring System.
Proceedings of the Computer Assisted Learning, 2nd International Conference, 1989


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