Knowledge Based Intelligent Tutoring System. - Liu Ning; Krzysztof J. Cios (ICCAL, 1989)

An expert system for diagnosis of coronary artery stenosis based on 201Tl scintigrams using the Dempster-Shafer theory of evidence. - Krzysztof J. Cios; R. E. Freasier; Lucy S. Goodenday; L. T. Andrews (Comput. Appl. Biosci., 1990)

An edge extraction technique for noisy images. - Krzysztof J. Cios; Ayman Sarieh (IEEE Trans. Biomed. Eng., 1990)

Using Fuzzy Sets to Diagnose Coronary Artery Stenosis. - Krzysztof J. Cios; Inho Shin; Lucy S. Goodenday (Computer, 1991)

A machine learning method for generation of a neural network architecture: a continuous ID3 algorithm. - Krzysztof J. Cios; Liu Ning (IEEE Trans. Neural Networks, 1992)

Image Recognition Neural Network: IRNN. - Krzysztof J. Cios; Inho Shin (Neurocomputing, 1995)

A novel algorithm for classification of SPECT images of a human heart. - Krzysztof J. Cios; Lucy S. Goodenday; Kanu K. Shah; Gürsel Serpen (CBMS, 1996)

A neuro-fuzzy algorithm for diagnosis of coronary artery stenosis. - Les M. Sztandera; Lucy S. Goodenday; Krzysztof J. Cios (Comput. Biol. Medicine, 1996)

Inductive machine learning for instrument development. - Gholamreza Torkzadeh; Krzysztof J. Cios; Kurt A. Pflughoeft (Inf. Manag., 1996)

Time series forecasting by combining RBF networks, certainty factors, and the Box-Jenkins model. - Donald K. Wedding II; Krzysztof J. Cios (Neurocomputing, 1996)

A Spatio-Temporal Computer Model of Dynamic Organization Properties of the Adult Primate Somatosensory System. - Dorel M. Sala; Krzysztof J. Cios; J. Wall (ICONIP (1), 1997)

Neural-networks-based adaptive control of flexible robotic arms. - Jorge I. Arciniegas; Adel H. Eltimsahy; Krzysztof J. Cios (Neurocomputing, 1997)

Ontogenic neuro-fuzzy algorithm: F-CID3. - Krzysztof J. Cios; Les M. Sztandera (Neurocomputing, 1997)

Certainty factors versus Parzen windows as reliability measures in RBF networks. - Donald K. Wedding II; Krzysztof J. Cios (Neurocomputing, 1998)

Data Mining Methods for Knowledge Discovery. - Krzysztof J. Cios; Witold Pedrycz; Roman W. Swiniarski (IEEE Trans. Neural Networks, 1998)

Solving graph algorithms with networks of spiking neurons. - Dorel M. Sala; Krzysztof J. Cios (IEEE Trans. Neural Networks, 1999)

Synthesis of feedforward networks in supremum error bound. - Krzysztof Ciesielski; Jaroslaw P. Sacha; Krzysztof J. Cios (IEEE Trans. Neural Networks Learn. Syst., 2000)

Knowledge discovery approach to automated cardiac SPECT diagnosis. - Lukasz A. Kurgan; Krzysztof J. Cios; Ryszard Tadeusiewicz; Marek R. Ogiela; Lucy S. Goodenday (Artif. Intell. Medicine, 2001)

Fuzzy classifier design: Ludmila Kuncheva; Physica-Verlag and Springer, Wurzburg and Berlin, 2000, 315 pp. ISBN 3-7908-1298-6. - Krzysztof J. Cios (Neurocomputing, 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. - Krzysztof J. Cios (Neurocomputing, 2001)

SPECT Heart. - Krzysztof J. Cios; Lukasz A. Kurgan; Lucy S. Goodenday (UCI Machine Learning Repository, 2001)

SPECTF Heart. - Krzysztof J. Cios; Lukasz A. Kurgan; Lucy S. Goodenday (UCI Machine Learning Repository, 2001)

Spiking Neurons in Clustering of Diabetic Retinopathy Data. - Krzysztof J. Cios; William Jackson; Waldemar Swiercz; L. Springhetti (HIS, 2002)

Semantic Mapping of XML Tags Using Inductive Machine Learning. - Lukasz A. Kurgan; Waldemar Swiercz; Krzysztof J. Cios (ICMLA, 2002)

Uniqueness of medical data mining. - Krzysztof J. Cios; G. William Moore (Artif. Intell. Medicine, 2002)

Bayesian learning for cardiac SPECT image interpretation. - Jaroslaw P. Sacha; Lucy S. Goodenday; Krzysztof J. Cios (Artif. Intell. Medicine, 2002)

Identification of Contaminants in Proteomics Mass Spectrometry Data. - Mark W. Duncan; Kim Fung; Heng Wang; Chia-Yu Yen; Krzysztof J. Cios (CSB, 2003)

Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm. - Lukasz A. Kurgan; Krzysztof J. Cios (ICMLA, 2003)

Dual threshold based neural modeling to study systems of spiking neurons. - Jeffrey J. Lovelace; Krzysztof J. Cios (IJCNN, 2004)

Networks of spiking neurons in modeling and problem solving. - Krzysztof J. Cios; Waldemar Swiercz; William Jackson (Neurocomputing, 2004)

CLIP4: Hybrid inductive machine learning algorithm that generates inequality rules. - Krzysztof J. Cios; Lukasz A. Kurgan (Inf. Sci., 2004)

CAIM Discretization Algorithm. - Lukasz A. Kurgan; Krzysztof J. Cios (IEEE Trans. Knowl. Data Eng., 2004)

Identification of contaminants in MALDI-ToF proteomics spectra via Data Mining. - Chia-Yu Yen; Krzysztof J. Cios; Mark W. Duncan (Advances in Bioinformatics and Its Applications, 2005)

Computational intelligence in solving bioinformatics problems. - Krzysztof J. Cios; Hiroshi Mamitsuka; Tomomasa Nagashima; Ryszard Tadeusiewicz (Artif. Intell. Medicine, 2005)

SiMCAL 1 algorithm for analysis of gene expression data related to the phosphatidylserine receptor. - Daniel Dvorkin; Valerie Fadok; Krzysztof J. Cios (Artif. Intell. Medicine, 2005)

Highly accurate and consistent method for prediction of helix and strand content from primary protein sequences. - Jishou Ruan; Kui Wang; Jie Yang; Lukasz A. Kurgan; Krzysztof J. Cios (Artif. Intell. Medicine, 2005)

A rich analytical environment for flow cytometry experimental results. - Janet Siebert; Krzysztof J. Cios; M. Karen Newell (Int. J. Bioinform. Res. Appl., 2006)

A new synaptic plasticity rule for networks of spiking neurons. - Waldemar Swiercz; Krzysztof J. Cios; Kevin Staley; Lukasz A. Kurgan; Frank Accurso; Scott Sagel (IEEE Trans. Neural Networks, 2006)

Highly scalable and robust rule learner: performance evaluation and comparison. - Lukasz A. Kurgan; Krzysztof J. Cios; Scott Dick (IEEE Trans. Syst. Man Cybern. Part B, 2006)

Proteomic data mining using predicted peptide chromatographic retention times. - Brian Tripet; Megha Renuka Jayadev; Don Blow; Cao D. Nguyen; Robert S. Hodges; Krzysztof J. Cios (Int. J. Bioinform. Res. Appl., 2007)

A Hidden Markov Model for Predicting protein Interfaces. - Cao D. Nguyen; Katheleen J. Gardiner; Krzysztof J. Cios (J. Bioinform. Comput. Biol., 2007)

Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification. - Supphachai Thaicharoen; Tom Altman; Krzysztof J. Cios (AusDM, 2008)

Prediction of Protein Functions from Protein Interaction Networks: A Naïve Bayes Approach. - Cao D. Nguyen; Katheleen J. Gardiner; Duong Nguyen; Krzysztof J. Cios (PRICAI, 2008)

Improved machine learning method for analysis of gas phase chemistry of peptides. - Allison Gehrke; Shaojun Sun; Lukasz A. Kurgan; Natalie Ahn; Katheryn Resing; Karen Kafadar; Krzysztof J. Cios (BMC Bioinform., 2008)

SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences. - Lukasz A. Kurgan; Krzysztof J. Cios; Ke Chen 003 (BMC Bioinform., 2008)

Image recognition system based on novel measures of image similarity and cluster validity. - Chia-Yu Yen; Krzysztof J. Cios (Neurocomputing, 2008)

GAKREM: A novel hybrid clustering algorithm. - Cao D. Nguyen; Krzysztof J. Cios (Inf. Sci., 2008)

CLusFCM: an Algorithm for Predicting protein Functions Using homologies and protein Interactions. - Cao D. Nguyen; Michael Mannino; Katheleen J. Gardiner; Krzysztof J. Cios (J. Bioinform. Comput. Biol., 2008)

A Very Simple Spiking Neuron Model That Allows for Modeling of Large, Complex Systems. - Jeffrey J. Lovelace; Krzysztof J. Cios (Neural Comput., 2008)

Analysis of EEG Epileptic Signals with Rough Sets and Support Vector Machines. - Joo Heon Shin; Dave Smith; Roman W. Swiniarski; F. Edward Dudek; Andrew White; Kevin Staley; Krzysztof J. Cios (AIME, 2009)

Discovering relational knowledge from two disjoint sets of literatures using inductive Logic Programming. - Supphachai Thaicharoen; Tom Altman; Katheleen J. Gardiner; Krzysztof J. Cios (CIDM, 2009)

A Neuronal Multisensory Processing Simulator. - Hun Ki Lim; Leslie P. Keniston; Joo Heon Shin; Cao D. Nguyen; M. Alex Meredith; Krzysztof J. Cios (IJCNN, 2010)

A spiking neural network alternative for the analog to digital converter. - Jeffrey J. Lovelace; John T. Rickard; Krzysztof J. Cios (IJCNN, 2010)

miDivCon: Framework and method for Multiple Instance Learning. - Cao D. Nguyen; Dat T. Nguyen; Krzysztof J. Cios; Katheleen J. Gardiner; Alberto C. Costa (ISDA, 2010)

Recognition of Partially Occluded and Rotated Images With a Network of Spiking Neurons. - Joo Heon Shin; Dave Smith; Waldemar Swiercz; Kevin Staley; John T. Rickard; Javier Montero; Lukasz A. Kurgan; Krzysztof J. Cios (IEEE Trans. Neural Networks, 2010)

Machine Learning Algorithms Inspired by the Work of Ryszard Spencer Michalski. - Krzysztof J. Cios; Lukasz A. Kurgan (Advances in Machine Learning I, 2010)

Visualization of highly-dimensional data in 3D space. - Dat T. Nguyen; Witold Dzwinel; Krzysztof J. Cios (ISDA, 2011)

Protein annotation from protein interaction networks and Gene Ontology. - Cao D. Nguyen; Katheleen J. Gardiner; Krzysztof J. Cios (J. Biomed. Informatics, 2011)

Modeling of Multisensory Convergence with a Network of Spiking Neurons: A Reverse Engineering Approach. - Hun Ki Lim; Leslie P. Keniston; Krzysztof J. Cios (IEEE Trans. Biomed. Eng., 2011)

mi-DS: Multiple-Instance Learning Algorithm. - Dat T. Nguyen; Cao D. Nguyen; Rosalyn Hobson Hargraves; Lukasz A. Kurgan; Krzysztof J. Cios (IEEE Trans. Cybern., 2013)

Simulating Vertical and Horizontal Inhibition with Short-Term Dynamics in a Multi-column Multi-Layer Model of neocortex. - Beata Strack; Kimberle M. Jacobs; Krzysztof J. Cios (Int. J. Neural Syst., 2014)

Scalable CAIM discretization on multiple GPUs using concurrent kernels. - Alberto Cano 001; Sebastián Ventura; Krzysztof J. Cios (J. Supercomput., 2014)

Diabetes 130-US hospitals for years 1999-2008. - John Clore; Krzysztof J. Cios; Jon DeShazo; Beata Strack (UCI Machine Learning Repository, 2014)

Extracting News Sentiment and Establishing Its Relationship with the S&P 500 Index. - Sahil Zubair; Krzysztof J. Cios (HICSS, 2015)

Rule-based OneClass-DS learning algorithm. - Dat T. Nguyen; Krzysztof J. Cios (Appl. Soft Comput., 2015)

Mice Protein Expression. - Clara Higuera; Katheleen J. Gardiner; Krzysztof J. Cios (UCI Machine Learning Repository, 2015)

ur-CAIM: improved CAIM discretization for unbalanced and balanced data. - Alberto Cano 001; Dat T. Nguyen; Sebastián Ventura; Krzysztof J. Cios (Soft Comput., 2016)

Multi-objective genetic programming for feature extraction and data visualization. - Alberto Cano 001; Sebastián Ventura; Krzysztof J. Cios (Soft Comput., 2017)

Deep Neural Networks - A Brief History. - Krzysztof J. Cios (Advances in Data Analysis with Computational Intelligence Methods, 2018)

Review of ensembles of multi-label classifiers: Models, experimental study and prospects. - Jose M. Moyano; Eva Lucrecia Gibaja Galindo; Krzysztof J. Cios; Sebastián Ventura (Inf. Fusion, 2018)

RNN-DBSCAN: A Density-Based Clustering Algorithm Using Reverse Nearest Neighbor Density Estimates. - Avory Bryant; Krzysztof J. Cios (IEEE Trans. Knowl. Data Eng., 2018)

Uniqueness of Medical Data Mining: How the new technologies and data they generate are transforming medicine. - Krzysztof J. Cios; Bartosz Krawczyk; Jacquelyne Cios; Kevin J. Staley (CoRR, 2019)

An evolutionary approach to build ensembles of multi-label classifiers. - Jose M. Moyano; Eva Lucrecia Gibaja Galindo; Krzysztof J. Cios; Sebastián Ventura (Inf. Fusion, 2019)

Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming. - Jose M. Moyano; Eva Lucrecia Gibaja Galindo; Krzysztof J. Cios; Sebastián Ventura (CEC, 2020)

Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms. - Jose M. Moyano; Eva L. Gibaja; Krzysztof J. Cios; Sebastián Ventura (ECAI, 2020)

Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization. - Paolo Gabriel Cachi; Sebastián Ventura; Krzysztof Jozef Cios (IPMU (3), 2020)

Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms. - Jose M. Moyano; Eva Gibaja; Krzysztof J. Cios; Sebastián Ventura (Knowl. Based Syst., 2020)

CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks. - Paolo Gabriel Cachi; Sebastián Ventura; Krzysztof J. Cios (Frontiers Comput. Neurosci., 2021)

Reproducing Aplysia R-15 Bursting Neurodynamics on a Neuromorphic Microchip. - Paolo Gabriel Cachi; Soumil Jain; Sebastián Ventura; Gert Cauwenberghs; Krzysztof J. Cios (ICECS 2022, 2022)

MT-SNN: Spiking Neural Network that Enables Single-Tasking of Multiple Tasks. - Paolo Gabriel Cachi; Sebastián Ventura; Krzysztof J. Cios (CoRR, 2022)

TM-SNN: Threshold Modulated Spiking Neural Network for Multi-task Learning. - Paolo Gabriel Cachi; Sebastián Ventura Soto; Krzysztof J. Cios (IWANN (2), 2023)

Improving Spiking Neural Network Performance with Auxiliary Learning. - Paolo Gabriel Cachi; Sebastián Ventura; Krzysztof J. Cios (Mach. Learn. Knowl. Extr., 2023)