K. Cios

发表

Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records

Beata Strack, J. DeShazo, C. Gennings, 2014, BioMed research international.

Medical data mining and knowledge discovery.

K. Cios, 2000, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

Advances in neural information processing systems 7

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

An introduction to biological and artificial neural networks for pattern recognition: by Steven K. Rogers and Matthew Kabrisky, with contributing authors Dennis W. Ruck and Gregory L. Tarr. SPIE Optical Engineering Press, pp. 220, 1991, ISBN 0-8194-0534-5, $30.00

K. Cios, 1995 .

Bayesian learning for cardiac SPECT image interpretation

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

Self-Organizing Feature Maps Identify Proteins Critical to Learning in a Mouse Model of Down Syndrome

K. Cios, C. Higuera, K. Gardiner, 2015, PloS one.

Fuzzy inference and the control of flexible robotic manipulators

Jorge I. Arciniegas, K. Cios, A. Eltimsahy, 1993, Proceedings of 8th IEEE International Symposium on Intelligent Control.

Use of neural networks in detecting cardiac diseases from echocardiographic images

R. A. Langenderfer, K. Cios, K. Chen, 1990, IEEE Engineering in Medicine and Biology Magazine.

Meta Mining Architecture for Supervised Learning

K. Cios, Lukasz Kurgan, 2004 .

Improved Validation of Peptide MS/MS Assignments Using Spectral Intensity Prediction*S

K. Cios, K. Resing, N. Ahn, 2007, Molecular & Cellular Proteomics.

Connectional parameters determine multisensory processing in a spiking network model of multisensory convergence

K. Cios, M. Meredith, L. Keniston, 2011, Experimental Brain Research.

Epileptic seizure detection.

Krzysztof J Cios, Kevin Staley, K. Cios, 2007, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

Multi-column multi-layer computational model of neocortex

Beata Strack, K. Cios, 2013 .

Sequence-Based Methods for Real Value Predictions of Protein Structure

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

Prediction of protein secondary structure content for the twilight zone sequences

Ke Chen, Jishou Ruan, Leila Homaeian, 2007, Proteins.

A Bayesian approach for dealing with uncertainties in detection of coronary artery stenosis using a knowledge-based system

K. Cios, L. Goodenday, K.J. Cios, 1989, IEEE Engineering in Medicine and Biology Magazine.

Soft Computing in Design and Manufacturing of Advanced Materials

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

Identification of contaminants in MALDI-ToF proteomics spectra via Data Mining

Krzysztof J. Cios, Mark W. Duncan, Chia-Yu Yen, 2005, Advances in Bioinformatics and Its Applications.

Feature Extraction and Selection Methods

Witold Pedrycz, Witold Pedrycz, Lukasz Kurgan, 2007 .

Validating Models of Epilepsy

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

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.

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 .

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.

Soft Computing in Design and Manufacturing of Advanced Materials

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

Using fuzzy sets in the prediction of flexural strength and density of silicon nitride ceramics

K. Cios, L. Sztandera, G. Baaklini, 1994 .

The Knowledge Discovery Process

Witold Pedrycz, Witold Pedrycz, Lukasz Kurgan, 2007 .

Soft computing methods in design of superalloys

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

Ontogenic neuro-fuzzy F-CID3 algorithm

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

Computational intelligence in solving bioinformatics problems

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

The handbook of brain theory and neural networks

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

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

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

Fuzzy neural networks

Witold Pedrycz, Witold Pedrycz, Krzysztof J. 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.

Classes of fuzzy neural networks

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

Induced boolean and core neural networks

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

Ontogenic CID3 algorithm for recognition of defects in glass ribbon

Krzysztof J. Cios, K. Cios, 1997 .

Neuro-fuzzy Systems

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

Radial basis function network in design and manufacturing of ceramics

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

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.

Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms

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

Neuro-fuzzy algorithms

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

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

Krzysztof J. Cios, K. Cios, 1995 .

NETWORKS OF SPIKING NEURONS IN DATA MINING

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

Spiking Neurons in Clustering of Diabetic Retinopathy Data

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

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.

A rich analytical environment for flow cytometry experimental results

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

Fuzzy sets and knowledge representation issues

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

Machine Learning Methods Predict Locomotor Response to MK-801 in Mouse Models of Down Syndrome

Cao D. Nguyen, Krzysztof J Cios, K. Cios, 2011, Journal of neurogenetics.

Multi-objective genetic programming for feature extraction and data visualization

Sebastián Ventura, K. Cios, Alberto Cano, 2015, Soft Computing.

Supervised Learning: Statistical Methods

Witold Pedrycz, Lukasz Kurgan, Roman W. Swiniarski, 2007 .

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

Dat T. Nguyen, K. Cios, Alberto Cano, 2014, Soft Computing.

Scalable CAIM discretization on multiple GPUs using concurrent kernels

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

MT-SNN: Spiking Neural Network that Enables Single-Tasking of Multiple Tasks

K. Cios, S. Ventura, P. G. Cachi, 2022, 2208.01522.

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.

Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization

Sebastián Ventura, Paolo Gabriel Cachi, Krzysztof Jozef Cios, 2020, IPMU.

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.

Identification of Flexible Robotic Manipulators Using Neural Networks

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

Hybrid intelligence system for diagnosing coronary stenosis. Combining fuzzy generalized operators with decision rules generated by machine learning algorithms

K. Cios, L. Sztandera, L. Goodenday, 1994, IEEE Engineering in Medicine and Biology Magazine.

Mining the Cystic Fibrosis Data

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

Hybrid inductive machine learning: an overview of CLIP algorithms

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

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

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

Multi-objective genetic programming for feature extraction and data visualization

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

An evolutionary approach to build ensembles of multi-label classifiers

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

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

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

Certainty factors versus Parzen windows as reliability measures in RBF networks

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

A Hidden Markov Model for Predicting protein Interfaces

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

Uniqueness of medical data mining

Krzysztof J. Cios, G. William Moore, G. W. Moore, 2002, 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.

Key challenges in proteomics and proteoinformatics

M. Hamady, R. Knight, K. Cios, 2005, IEEE Engineering in Medicine and Biology Magazine.

Key Challenges in ProteomicsProteoinformatics

Rob Knight, Krzysztof J. Cios, Katheryn A. Resing, 2005 .

Machine learning in the life sciences

Lukasz A. Kurgan, Marek Reformat, Krzysztof J. Cios, 2007, IEEE Engineering in Medicine and Biology Magazine.

Data Mining and Data Visualization

Dat T. Nguyen, K. Cios, 2015 .

Unsupervised Learning: Association Rules

Witold Pedrycz, Lukasz Kurgan, Roman W. Swiniarski, 2007 .

Human chromosome 21/Down syndrome gene function and pathway database.

Cao D. Nguyen, K. Cios, K. Gardiner, 2005, Gene.

Image Recognition Neural Network: IRNN

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

Data Mining: A Knowledge Discovery Approach

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

Trends in Data Mining and Knowledge Discovery

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

Knowledge discovery approach to automated cardiac SPECT diagnosis

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

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.

Deep Neural Networks - A Brief History pdf

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

Data Mining Methods for Knowledge Discovery

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

Data Security, Privacy and Data Mining

Witold Pedrycz, Lukasz Kurgan, Roman W. Swiniarski, 2007 .

Supervised Learning: Neural Networks

Witold Pedrycz, Lukasz Kurgan, Roman W. Swiniarski, 2007 .

Issues in automating cardiac SPECT diagnosis

K.J. Cios, J.P. Sacha, L.S. Goodenday, 2000, IEEE Engineering in Medicine and Biology Magazine.

New synthesis of bayesian network classifiers and cardiac spect image interpretation

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

Structured region growing and recognition algorithm for nondestructive evaluation

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

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.

Effects of Synaptic Depression and Recovery on Synchronous Network Activity

Waldemar Swiercz, Kevin Staley, Krzysztof Cios, 2007, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

A new synaptic plasticity rule for networks of spiking neurons

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

Networks of spiking neurons in modeling and problem solving

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

Solving graph algorithms with networks of spiking neurons

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

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

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

Quantitative analysis of proteomics using data mining

K. Cios, M. Duncan, M. Perryman, 2005, IEEE Engineering in Medicine and Biology Magazine.

CLIP4: Hybrid inductive machine learning algorithm that generates inequality rules

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

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 .

A knowledge discovery approach to diagnosing myocardial perfusion

K. Cios, S. Sharma, A. Teresińska, 2000, IEEE Engineering in Medicine and Biology Magazine.

Dual threshold based neural modeling to study systems of spiking neurons

K.J. Cios, J.J. Lovelace, K. Cios, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Self-Organization in Networks of Spiking Neurons

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

Uniqueness of Medical Data Mining: How the new technologies and data they generate are transforming medicine pdf

Bartosz Krawczyk, Kevin J. Staley, Krzysztof J. Cios, 2019, ArXiv.

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.

Innovative Methods of Teaching Science and Engineering in Secondary Schools

Brent G. Wilson, Nathan Balasubramanian, Krzysztof J. Cios, 2006 .

Innovative Methods of Teaching and Learning Science and Engineering in Middle Schools

Brent G. Wilson, Nathan Balasubramanian, Krzysztof J. Cios, 2005 .

Generation of Diagnostic Rules via Inductive Machine Learning

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

ALFS: An Inductive Learning Algorithm

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

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

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

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.

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

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

D1.3 Neuro-fuzzy algorithms

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

Synthesis of feedforward networks in supremum error bound

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

Inductive machine learning for instrument development

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

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

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

Semantic Mapping of XML Tags Using Inductive Machine Learning

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

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.

Improving sensitivity in shotgun proteomics using a peptide-centric database with reduced complexity: protease cleavage and SCX elution rules from data mining of MS/MS spectra.

Krzysztof J Cios, Natalie G Ahn, Karen Meyer-Arendt, 2006, Analytical chemistry.

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.

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

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

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

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

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.

Discretization Algorithm that Uses Class-Attribute Interdependence Maximization

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

From the guest editor medical data mining and knowledge discovery

K.J. Cios, K. Cios, 2000, IEEE Engineering in Medicine and Biology Magazine.

Unsupervised Learning: Clustering

Witold Pedrycz, Lukasz Kurgan, Roman W. Swiniarski, 2007 .

Protein annotation from protein interaction networks and Gene Ontology

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

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

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

Key challenges in proteomics and proteoinformatics. Progress in proteins.

Rob Knight, Micah Hamady, Katheryn Resing, 2005, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

mi-DS: Multiple-Instance Learning Algorithm

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

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.

FASS: Face Anti-Spoofing System Using Image Quality Features and Deep Learning

K. Cios, Enoch Solomon, 2023, Electronics.

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..

Data Mining and Knowledge Discovery

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

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

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

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..

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..

Neural networks in detection of coronary artery disease

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

Advances in applications of spiking neuron networks

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

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).

Meta mining system for supervised learning

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

A Neuronal Multisensory Processing Simulator

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

Identifying coronary stenosis using an image-recognition neural network

L.C. Goodenday, K.J. Cios, Inho Shin, 1997, IEEE Engineering in Medicine and Biology Magazine.

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).

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.

Ontogenic neuro-fuzzy algorithm: F-CID3

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

Biological restraint on the Izhikevich neuron model essential for seizure modeling

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

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).

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.

Scalable CAIM discretization on multiple GPUs using concurrent kernels

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