Krzysztof J. Cios

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Modeling of Multisensory Convergence with a Network of Spiking Neurons: A Reverse Engineering Approach

Hun Ki Lim, Leslie P. Keniston, Krzysztof J. Cios, 2011, IEEE Transactions on Biomedical Engineering.

Ontogenic CID3 algorithm for recognition of defects in glass ribbon

Krzysztof J. Cios, K. Cios, 1997 .

Modeling spontaneous bursts in hippocampus

Krzysztof J. Cios, Waldemar Swiercz, 2005 .

Classes of fuzzy neural networks

Witold Pedrycz, Krzysztof J. Cios, K. Cios, 1997 .

An evolutionary approach to build ensembles of multi-label classifiers

Krzysztof J. Cios, Sebastián Ventura, Jose M. Moyano, 2019, Inf. Fusion.

Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms

Krzysztof J. Cios, Sebastián Ventura, Jose M. Moyano, 2020, Knowl. Based Syst..

Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming

Krzysztof J. Cios, Sebastián Ventura, Jose M. Moyano, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

D1.3 Neuro-fuzzy algorithms

Witold Pedrycz, Krzysztof J. Cios, K. Cios, 1997 .

Continuous ID3 algorithm with fuzzy entropy measures

Krzysztof J. Cios, L. M. Sztandera, 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms

Krzysztof J. Cios, Sebastián Ventura, Jose M. Moyano, 2020, ECAI.

Soft computing methods in design of superalloys

Krzysztof J. Cios, L. Berke, Alex Vary, 1995 .

Multi-objective genetic programming for feature extraction and data visualization

Krzysztof J. Cios, Sebastián Ventura, Alberto Cano, 2015, Soft Computing.

Meta mining system for supervised learning

Lukasz Kurgan, Krzysztof J. Cios, K. Cios, 2003 .

Soft Computing in Design and Manufacturing of Advanced Materials

Krzysztof J. Cios, George Y. Baaklini, Alex Vary, 1993 .

A Neuronal Multisensory Processing Simulator

Hun Ki Lim, Leslie P. Keniston, Krzysztof J. Cios, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Hybrid inductive machine learning: an overview of CLIP algorithms

Krzysztof J. Cios, Łukasz A. Kurgan, K. Cios, 2002 .

Application of Fuzzy Reasoning for Filtering and Enhancement of Ultrasonic Images

Krzysztof J. Cios, Alex Vary, J. P. Sacha, 1994 .

Ensemble of classifiers to improve accuracy of the CLIP4 machine-learning algorithm

Lukasz Kurgan, Krzysztof J. Cios, K. Cios, 2002, SPIE Defense + Commercial Sensing.

Spiking Neurons in Clustering of Diabetic Retinopathy Data

Krzysztof J. Cios, Waldemar Swiercz, William Jackson, 2002, HIS.

Deep Neural Networks - A Brief History pdf

Krzysztof J. Cios, K. Cios, 2017, Advances in Data Analysis with Computational Intelligence Methods.

Data Mining: A Knowledge Discovery Approach

Witold Pedrycz, Lukasz Kurgan, Krzysztof J. Cios, 2007 .

Highly scalable and robust rule learner: performance evaluation and comparison

Lukasz A. Kurgan, Scott Dick, Krzysztof J. Cios, 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm

Lukasz A. Kurgan, Krzysztof J. Cios, 2003, ICMLA.

Inductive machine learning for instrument development

Krzysztof J. Cios, Kurt A. Pflughoeft, Gholamreza Torkzadeh, 1996, Inf. Manag..

Automated detection of left ventricular boundaries for thallium-201 scintigrams

Krzysztof J. Cios, Ayman Sarieh, Lucy S. Goodenday, 1988, Proceedings. Computers in Cardiology 1988.

mi-DS: Multiple-Instance Learning Algorithm

Lukasz A. Kurgan, Krzysztof J. Cios, Rosalyn Hobson Hargraves, 2013, IEEE Transactions on Cybernetics.

Discovering relational knowledge from two disjoint sets of literatures using inductive Logic Programming

Krzysztof J. Cios, Tom Altman, Supphachai Thaicharoen, 2009, 2009 IEEE Symposium on Computational Intelligence and Data Mining.

Methods for prediction of protein interfaces and functions

Krzysztof J. Cios, Cao Dang Nguyen, 2007 .

Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification

Krzysztof J. Cios, Tom Altman, Supphachai Thaicharoen, 2008, AusDM.

Soft Computing in Design and Manufacturing of Advanced Materials

Krzysztof J. Cios, George Y. Baaklini, Alex Vary, 1993 .

Knowledge discovery approach to automated cardiac SPECT diagnosis

Lukasz A. Kurgan, Marek R. Ogiela, Krzysztof J. Cios, 2001, Artif. Intell. Medicine.

Solving graph algorithms with networks of spiking neurons

Krzysztof J. Cios, Dorel M. Sala, D. M. Sala, 1999, IEEE Trans. Neural Networks.

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

Krzysztof J. Cios, K. Cios, 2001, Neurocomputing.

The WWW Based Data Mining Toolbox Architecture

Krzysztof J. Cios, Lukasz Kurgan, Michael Trombley, 2003 .

A spiking neural network alternative for the analog to digital converter

Krzysztof J. Cios, John T. Rickard, Jeffrey J. Lovelace, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Identification of Flexible Robotic Manipulators Using Neural Networks

Krzysztof J. Cios, Adel H. Eltimsahy, Jorge I. Arciniegas, 1994 .

Advances in applications of spiking neuron networks

Krzysztof J. Cios, Dorel M. Sala, D. M. Sala, 2000, SPIE Defense + Commercial Sensing.

Protein annotation from protein interaction networks and Gene Ontology

Krzysztof J. Cios, Cao D. Nguyen, Katheleen J. Gardiner, 2011, J. Biomed. Informatics.

The handbook of brain theory and neural networks

Krzysztof J. Cios, Mark E. Shields, M. E. Shields, 1997 .

Visualization of highly-dimensional data in 3D space

Krzysztof J. Cios, Witold Dzwinel, Dat T. Nguyen, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

A new synaptic plasticity rule for networks of spiking neurons

Lukasz A. Kurgan, Krzysztof J. Cios, Waldemar Swiercz, 2006, IEEE Transactions on Neural Networks.

Image recognition system based on novel measures of image similarity and cluster validity

Krzysztof J. Cios, Chia-Yu Yen, K. Cios, 2008, Neurocomputing.

Proceedings of the 2003 International Conference on Machine Learning and Applications - ICMLA 2003, June 23-24, 2003, Los Angeles, California, USA

Krzysztof J. Cios, M. Arif Wani, Khalid Hafeez, 2003, International Conference on Machine Learning and Applications.

Scalable CAIM discretization on multiple GPUs using concurrent kernels

Krzysztof J. Cios, Sebastián Ventura, Alberto Cano, 2014, The Journal of Supercomputing.

Highly accurate and consistent method for prediction of helix and strand content from primary protein sequences

Lukasz A. Kurgan, Kui Wang, Krzysztof J. Cios, 2005, Artif. Intell. Medicine.

A rich analytical environment for flow cytometry experimental results

Krzysztof J. Cios, Janet Siebert, M. Karen Newell, 2006, Int. J. Bioinform. Res. Appl..

Neuro-fuzzy Systems

Witold Pedrycz, Krzysztof J. Cios, K. Cios, 1996 .

Advances in neural information processing systems 7

Krzysztof J. Cios, Mark E. Shields, M. E. Shields, 1997 .

SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences

Lukasz A. Kurgan, Krzysztof J. Cios, Ke Chen, 2008, BMC Bioinformatics.

Fuzzy Inference, Radial Basis Functions, and Control of Flexible Robotic Manipulators

Krzysztof J. Cios, Adel H. Eltimsahy, Jorge I. Arciniegas, 1993 .

Radial basis function network in design and manufacturing of ceramics

Krzysztof J. Cios, George Y. Baaklini, L. Berke, 1997 .

A Very Simple Spiking Neuron Model That Allows for Modeling of Large, Complex Systems

Krzysztof J. Cios, Jeffrey J. Lovelace, K. Cios, 2008, Neural Computation.

Bayesian learning for cardiac SPECT image interpretation

Krzysztof J. Cios, Lucy S. Goodenday, Jaroslaw P. Sacha, 2002, Artif. Intell. Medicine.

Review of ensembles of multi-label classifiers: Models, experimental study and prospects

Krzysztof J. Cios, Sebastián Ventura, Jose M. Moyano, 2018, Inf. Fusion.

Mining the Cystic Fibrosis Data

Lukasz Kurgan, Krzysztof J. Cios, Marci K. Sontag, 2005 .

SiMCAL 1 algorithm for analysis of gene expression data related to the phosphatidylserine receptor

Krzysztof J. Cios, Daniel Dvorkin, Valerie Fadok, 2005, Artif. Intell. Medicine.

Knowledge Based Intelligent Tutoring System

Krzysztof J. Cios, Liu Ning, 1989, ICCAL.

Proteomic data mining using predicted peptide chromatographic retention times

Krzysztof J. Cios, Cao D. Nguyen, Brian Tripet, 2007, Int. J. Bioinform. Res. Appl..

A novel algorithm for classification of SPECT images of a human heart

Gürsel Serpen, Krzysztof J. Cios, Lucy S. Goodenday, 1996, Proceedings Ninth IEEE Symposium on Computer-Based Medical Systems.

Algorithm For A Self-Growing Neural Network

Krzysztof J. Cios, 1996 .

Time series forecasting by combining RBF networks, certainty factors, and the Box-Jenkins model

Krzysztof J. Cios, Donald K. Wedding, K. Cios, 1996, Neurocomputing.

Data Mining and Knowledge Discovery

Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, 2021, Urban Informatics.

A machine learning method for generation of a neural network architecture: a continuous ID3 algorithm

Krzysztof J. Cios, Liu Ning, K. Cios, 1992, IEEE Trans. Neural Networks.

Semantic Mapping of XML Tags Using Inductive Machine Learning

Lukasz A. Kurgan, Krzysztof J. Cios, Waldemar Swiercz, 2002, ICMLA.

Ontogenic neuro-fuzzy algorithm: F-CID3

Krzysztof J. Cios, Les M. Sztandera, 1997, Neurocomputing.

Using fuzzy sets to diagnose coronary artery stenosis

Krzysztof J. Cios, Inho Shin, Lucy S. Goodenday, 1991, Computer.

Application of neural networks to prediction of advanced composite structures mechanical response and behavior

Krzysztof J. Cios, L. Berke, Alex Vary, 1992 .

ur-CAIM: improved CAIM discretization for unbalanced and balanced data

Krzysztof J. Cios, Sebastián Ventura, Alberto Cano, 2016, Soft Comput..

NETWORKS OF SPIKING NEURONS IN DATA MINING

Krzysztof J. Cios, D. M. Sala, K. Cios, 2001 .

Recognition of Partially Occluded and Rotated Images With a Network of Spiking Neurons

Lukasz A. Kurgan, Javier Montero, Krzysztof J. Cios, 2010, IEEE Transactions on Neural Networks.

Internet-based system for diagnosis of coronary artery disease

Krzysztof J. Cios, Dorel M. Sala, Lucy S. Goodenday, 1998, Computers in Cardiology 1998. Vol. 25 (Cat. No.98CH36292).

CLIP4: Hybrid inductive machine learning algorithm that generates inequality rules

Lukasz A. Kurgan, Krzysztof J. Cios, K. Cios, 2004, Inf. Sci..

Ontogenic neuro-fuzzy F-CID3 algorithm

Witold Pedrycz, Krzysztof J. Cios, K. Cios, 1997 .

Certainty factors versus Parzen windows as reliability measures in RBF networks

Krzysztof J. Cios, Donald K. Wedding, K. Cios, 1998, Neurocomputing.

CLIP3: Cover learning using integer programming

Krzysztof J. Cios, Ning Liu, Daniel K. Wedding, 1997 .

Discretization Algorithm that Uses Class-Attribute Interdependence Maximization

Lukasz Kurgan, Krzysztof J. Cios, K. Cios, 2003 .

CLusFCM: an Algorithm for Predicting protein Functions Using homologies and protein Interactions

Krzysztof J. Cios, Michael Mannino, Cao D. Nguyen, 2008, J. Bioinform. Comput. Biol..

A fatigue damage estimator using RBF, backpropagation, and CID4 neural algorithms

Krzysztof J. Cios, Ning Liu, Robert E. Tjia, 1992 .

New synthesis of bayesian network classifiers and cardiac spect image interpretation

Krzysztof J. Cios, Jaroslaw P. Sacha, K. Cios, 1999 .

An expert system for diagnosis of coronary artery stenosis based on 201Tl scintigrams using the Dempster-Shafer theory of evidence

Krzysztof J. Cios, L. T. Andrews, R. E. Freasier, 1990, Comput. Appl. Biosci..

Rule-based OneClass-DS learning algorithm

Krzysztof J. Cios, Dat T. Nguyen, 2015, Appl. Soft Comput..

Data Mining Methods for Knowledge Discovery

Witold Pedrycz, Krzysztof J. Cios, Roman W. Swiniarski, 1998, IEEE Trans. Neural Networks.

Machine learning — Neural networks, genetic algorithms, and fuzzy systems: by Hojjat Adeli and Shin-Lin Hung, John Wiley & Sons, 1995. ISBN 0 471-01633-0, 212 pp., US$39.95

Krzysztof J. Cios, 1995 .

Improved machine learning method for analysis of gas phase chemistry of peptides

Lukasz A. Kurgan, Krzysztof J. Cios, Karen Kafadar, 2008, BMC Bioinformatics.

Neuro-fuzzy algorithms

Witold Pedrycz, Krzysztof J. Cios, K. Cios, 1997 .

Fuzzy classifier design: Ludmila Kuncheva; Physica-Verlag and Springer, Wurzburg and Berlin, 2000, 315 pp. ISBN 3-7908-1298-6

Krzysztof J. Cios, K. Cios, 2001, Neurocomputing.

A Spatio-Temporal Computer Model of Dynamic Organization Properties of the Adult Primate Somatosensory System

Krzysztof J. Cios, Dorel M. Sala, D. M. Sala, 1997, International Conference on Neural Information Processing.

A feature selection approach to concept acquisition

Krzysztof J. Cios, I. Moraes, 1989, Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society,.

Computational intelligence in solving bioinformatics problems

Krzysztof J. Cios, Ryszard Tadeusiewicz, Hiroshi Mamitsuka, 2005, Artif. Intell. Medicine.

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

Krzysztof J. Cios, Roman W. Swiniarski, F. Edward Dudek, 2009, AIME.

Synthesis of feedforward networks in supremum error bound

Krzysztof J. Cios, Krzysztof Ciesielski, Jaroslaw P. Sacha, 2000, IEEE Trans. Neural Networks Learn. Syst..

Structured region growing and recognition algorithm for nondestructive evaluation

Krzysztof J. Cios, Behrouz N. Shabestari, Jaroslaw P. Sacha, 1996, Optics & Photonics.

Multiple-instance and one-class rule based algorithms

Krzysztof J. Cios, Dat T. Nguyen, 2013 .

Prediction of Protein Functions from Protein Interaction Networks: A Naïve Bayes Approach

Krzysztof J. Cios, Duong Nguyen, Cao D. Nguyen, 2008, PRICAI.

Study of continuous ID3 and radial basis function algorithms for the recognition of glass defects

Krzysztof J. Cios, Ning Liu, Robert E. Tjia, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Uniqueness of medical data mining

Krzysztof J. Cios, G. William Moore, G. W. Moore, 2002, Artif. Intell. Medicine.

GAKREM: A novel hybrid clustering algorithm

Krzysztof J. Cios, Cao D. Nguyen, 2008, Inf. Sci..

A Comparison of Neural Networks and Fuzzy Logic Methods for Process Modeling

Krzysztof J. Cios, L. Berke, Dorel M. Sala, 1996 .

Networks of spiking neurons in modeling and problem solving

Krzysztof J. Cios, Waldemar Swiercz, William Jackson, 2004, Neurocomputing.

Extracting News Sentiment and Establishing Its Relationship with the S&P 500 Index

Krzysztof J. Cios, Sahil Zubair, 2015, 2015 48th Hawaii International Conference on System Sciences.

CAIM discretization algorithm

Lukasz A. Kurgan, Krzysztof J. Cios, K. Cios, 2004, IEEE Transactions on Knowledge and Data Engineering.

Machine Learning Algorithms Inspired by the Work of Ryszard Spencer Michalski

Lukasz A. Kurgan, Krzysztof J. Cios, K. Cios, 2010, Advances in Machine Learning I.

Proceedings of the 2002 International Conference on Machine Learning and Applications - ICMLA 2002, June 24-27, 2002, Las Vegas, Nevada, USA

Graham Kendall, Hamid R. Arabnia, Krzysztof J. Cios, 2002, International Conference on Machine Learning and Applications.

Induced boolean and core neural networks

Witold Pedrycz, Krzysztof J. Cios, K. Cios, 1997 .

PSIDD3: Post-Scan Ultrasonic Data Display System for the Windows-Based PC Including Fuzzy Logic Analysis

Don J. Roth, Krzysztof J. Cios, Jeffrey J. Lovelace, 2000 .

Biological restraint on the Izhikevich neuron model essential for seizure modeling

Krzysztof J. Cios, Beata Strack, Kimberle M. Jacobs, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

A Hidden Markov Model for Predicting protein Interfaces

Krzysztof J. Cios, Cao D. Nguyen, Katheleen J. Gardiner, 2007, J. Bioinform. Comput. Biol..

Generation of Diagnostic Rules via Inductive Machine Learning

Krzysztof J. Cios, Ning Liu, Lucy S. Goodenday, 1993 .

Neural-networks-based adaptive control of flexible robotic arms

Krzysztof J. Cios, Adel H. Eltimsahy, Jorge I. Arciniegas, 1997, Neurocomputing.

Fuzzy neural networks

Witold Pedrycz, Witold Pedrycz, Krzysztof J. Cios, 1997 .

Image Recognition Neural Network: IRNN

Krzysztof J. Cios, Inho Shin, K. Cios, 1995, Neurocomputing.

Text association mining with cross-sentence inference, structure-based document model and multi-relational text mining

Krzysztof J. Cios, Tom Altman, Supphachai Thaicharoen, 2009 .

Self-growing neural network architecture using crisp and fuzzy entropy

Krzysztof J. Cios, 1992, Defense, Security, and Sensing.

Fuzzy sets and knowledge representation issues

Witold Pedrycz, Krzysztof J. Cios, K. Cios, 1997 .

Simulating Vertical and Horizontal Inhibition with Short-Term Dynamics in a Multi-column Multi-Layer Model of neocortex

Krzysztof J. Cios, Beata Strack, Kimberle M. Jacobs, 2014, Int. J. Neural Syst..

ALFS: An Inductive Learning Algorithm

Krzysztof J. Cios, Ian Moraes, K. Cios, 1991 .

CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks

Krzysztof J. Cios, Sebastián Ventura, Paolo G. Cachi, 2021, Frontiers in Computational Neuroscience.

Feature Extraction and Selection Methods

Witold Pedrycz, Witold Pedrycz, Lukasz Kurgan, 2007 .

Self-Organization in Networks of Spiking Neurons

Krzysztof J. Cios, Dorel M. Sala, D. M. Sala, 2001 .

Validating Models of Epilepsy

Krzysztof J. Cios, Kevin J. Staley, Waldemar Swiercz, 2008 .

On the synthesis and complexity of feedforward networks

Krzysztof J. Cios, J. P. Sacha, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Fuzzy sets engineering: By Witold Pedrycz. CRC Press, 1995, pp. 332, ISBN 0-8493-9402-3

Krzysztof J. Cios, K. Cios, 1995 .

Design and Testing of a Classification System which Recognizes Coronary Stenosis by Site and Relative Severity, Using Myocardial Tl-201 Scintigrams

Krzysztof J. Cios, Lucy S. Goodenday, K. Cios, 1988 .

The Knowledge Discovery Process

Witold Pedrycz, Witold Pedrycz, Lukasz Kurgan, 2007 .

An algorithm which learns multiple covers via integer linear programming. Part I: the CLILP2 algorithm

Krzysztof J. Cios, Ning Liu, K. Cios, 1995 .

Fuzzy sets predict flexural strength and density of silicon nitride ceramics

Krzysztof J. Cios, George Y. Baaklini, Alex Vary, 1993 .

An algorithm which learns multiple covers via integer linear programming. Part II: experimental results and conclusions

Krzysztof J. Cios, K. Cios, Ning Liu, 1995 .

Representing uncertainties in a diagnostic expert system for coronary arterial stenosis

Krzysztof J. Cios, Lucy S. Goodenday, R. E. Freasier, 1988, Proceedings. Computers in Cardiology 1988.

Sequence-Based Methods for Real Value Predictions of Protein Structure

Lukasz Kurgan, Krzysztof J. Cios, Ke Chen, 2008 .

Simulating lesions in multi-layer, multi-columnar model of neocortex

Krzysztof J. Cios, Beata Strack, Kimberle M. Jacobs, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

Radial basis function network learns ceramic processing and predicts related strength and density

Krzysztof J. Cios, George Y. Baaklini, Alex Vary, 1994 .

Identification of Ictal and Pre-Ictal States Using RBF Networks with Wavelet-Decomposed EEG

Krzysztof J. Cios, Andrew M. White, Kevin J. Staley, 2007 .

Application of neural networks in the acousto-ultrasonic evaluation of metal-matrix composite specimens

Krzysztof J. Cios, Alex Vary, H. E. Kautz, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Simultaneous Quantification of Human Cardiac α- and β-Myosin Heavy Chain Proteins by MALDI-TOF Mass Spectrometry

Krzysztof J. Cios, Michael R. Bristow, Mark W. Duncan, 2004 .

Neural networks in detection of coronary artery disease

Krzysztof J. Cios, Lucy S. Goodenday, K. Cios, 1989, [1989] Proceedings. Computers in Cardiology.

Learning rules by integer linear programming

Krzysztof J. Cios, Ning Liu, Ning Liu, 1992, [1992] Proceedings of the IEEE International Symposium on Industrial Electronics.