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ORCIDKrzysztof J. Cios
Krzysztof Jozef Cios
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- affiliation: Virginia Commonwealth University, Richmond, VA, USA
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2020 – today
- 2023
[j51]Paolo Gabriel Cachi
, Sebastián Ventura, Krzysztof J. Cios:
Improving Spiking Neural Network Performance with Auxiliary Learning. Mach. Learn. Knowl. Extr. 5(3): 1010-1022 (2023)- [c23]Paolo Gabriel Cachi, Sebastián Ventura Soto, Krzysztof J. Cios:
TM-SNN: Threshold Modulated Spiking Neural Network for Multi-task Learning. IWANN (2) 2023: 653-663 - 2022
- [c22]Paolo Gabriel Cachi, Soumil Jain, Sebastián Ventura, Gert Cauwenberghs, Krzysztof J. Cios:
Reproducing Aplysia R-15 Bursting Neurodynamics on a Neuromorphic Microchip. ICECS 2022 2022: 1-4 - [i3]Paolo Gabriel Cachi, Sebastián Ventura, Krzysztof J. Cios:
MT-SNN: Spiking Neural Network that Enables Single-Tasking of Multiple Tasks. CoRR abs/2208.01522 (2022) - 2021
- [j50]Paolo Gabriel Cachi, Sebastián Ventura, Krzysztof J. Cios:
CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks. Frontiers Comput. Neurosci. 15: 627567 (2021) - 2020
- [j49]Jose M. Moyano, Eva Gibaja, Krzysztof J. Cios, Sebastián Ventura:
Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms. Knowl. Based Syst. 196: 105770 (2020) - [c21]Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Krzysztof J. Cios, Sebastián Ventura:
Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming. CEC 2020: 1-8 - [c20]Jose M. Moyano, Eva L. Gibaja, Krzysztof J. Cios, Sebastián Ventura:
Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms. ECAI 2020: 1379-1386 - [c19]Paolo Gabriel Cachi, Sebastián Ventura, Krzysztof Jozef Cios:
Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization. IPMU (3) 2020: 773-786
2010 – 2019
- 2019
- [j48]Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Krzysztof J. Cios, Sebastián Ventura:
An evolutionary approach to build ensembles of multi-label classifiers. Inf. Fusion 50: 168-180 (2019) - [i2]Krzysztof J. Cios, Bartosz Krawczyk, Jacquelyne Cios, Kevin J. Staley:
Uniqueness of Medical Data Mining: How the new technologies and data they generate are transforming medicine. CoRR abs/1905.09203 (2019) - 2018
- [j47]Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Krzysztof J. Cios, Sebastián Ventura:
Review of ensembles of multi-label classifiers: Models, experimental study and prospects. Inf. Fusion 44: 33-45 (2018) - [j46]Avory Bryant, Krzysztof J. Cios:
RNN-DBSCAN: A Density-Based Clustering Algorithm Using Reverse Nearest Neighbor Density Estimates. IEEE Trans. Knowl. Data Eng. 30(6): 1109-1121 (2018) - [c18]Krzysztof J. Cios:
Deep Neural Networks - A Brief History. Advances in Data Analysis with Computational Intelligence Methods 2018: 183-200 - 2017
- [j45]Alberto Cano, Sebastián Ventura, Krzysztof J. Cios:
Multi-objective genetic programming for feature extraction and data visualization. Soft Comput. 21(8): 2069-2089 (2017) - [i1]Krzysztof J. Cios:
Deep Neural Networks - A Brief History. CoRR abs/1701.05549 (2017) - 2016
- [j44]Alberto Cano, Dat T. Nguyen, Sebastián Ventura, Krzysztof J. Cios:
ur-CAIM: improved CAIM discretization for unbalanced and balanced data. Soft Comput. 20(1): 173-188 (2016) - 2015
- [j43]Dat T. Nguyen, Krzysztof J. Cios:
Rule-based OneClass-DS learning algorithm. Appl. Soft Comput. 35: 267-279 (2015) - [c17]Sahil Zubair, Krzysztof J. Cios:
Extracting News Sentiment and Establishing Its Relationship with the S&P 500 Index. HICSS 2015: 969-975 - [d4]Clara Higuera, Katheleen J. Gardiner, Krzysztof J. Cios:
Mice Protein Expression. UCI Machine Learning Repository, 2015
- 2014
- [j42]Beata Strack, Kimberle M. Jacobs, Krzysztof J. Cios:
Simulating Vertical and Horizontal Inhibition with Short-Term Dynamics in a Multi-column Multi-Layer Model of neocortex. Int. J. Neural Syst. 24(5) (2014) - [j41]Alberto Cano, Sebastián Ventura, Krzysztof J. Cios:
Scalable CAIM discretization on multiple GPUs using concurrent kernels. J. Supercomput. 69(1): 273-292 (2014) - [d3]John Clore, Krzysztof J. Cios, Jon DeShazo, Beata Strack:
Diabetes 130-US hospitals for years 1999-2008. UCI Machine Learning Repository, 2014 - 2013
- [j40]Dat T. Nguyen, Cao D. Nguyen, Rosalyn Hobson Hargraves, Lukasz A. Kurgan, Krzysztof J. Cios:
mi-DS: Multiple-Instance Learning Algorithm. IEEE Trans. Cybern. 43(1): 143-154 (2013) - 2011
- [j39]Cao D. Nguyen, Katheleen J. Gardiner, Krzysztof J. Cios:
Protein annotation from protein interaction networks and Gene Ontology. J. Biomed. Informatics 44(5): 824-829 (2011) - [j38]Hun Ki Lim, Leslie P. Keniston, Krzysztof J. Cios:
Modeling of Multisensory Convergence with a Network of Spiking Neurons: A Reverse Engineering Approach. IEEE Trans. Biomed. Eng. 58(7): 1940-1949 (2011) - [c16]Dat T. Nguyen, Witold Dzwinel, Krzysztof J. Cios:
Visualization of highly-dimensional data in 3D space. ISDA 2011: 225-230 - [e3]Sebastián Ventura, Ajith Abraham, Krzysztof J. Cios, Cristóbal Romero, Francesco Marcelloni, José Manuel Benítez, Eva Lucrecia Gibaja Galindo:
11th International Conference on Intelligent Systems Design and Applications, ISDA 2011, Córdoba, Spain, November 22-24, 2011. IEEE 2011, ISBN 978-1-4577-1676-8 [contents] - 2010
- [j37]Joo Heon Shin, Dave Smith, Waldemar Swiercz, Kevin Staley, John T. Rickard, Javier Montero, Lukasz A. Kurgan, Krzysztof J. Cios:
Recognition of Partially Occluded and Rotated Images With a Network of Spiking Neurons. IEEE Trans. Neural Networks 21(11): 1697-1709 (2010) - [c15]Hun Ki Lim, Leslie P. Keniston, Joo Heon Shin, Cao D. Nguyen, M. Alex Meredith, Krzysztof J. Cios:
A Neuronal Multisensory Processing Simulator. IJCNN 2010: 1-7 - [c14]Jeffrey J. Lovelace, John T. Rickard, Krzysztof J. Cios:
A spiking neural network alternative for the analog to digital converter. IJCNN 2010: 1-8 - [c13]Cao D. Nguyen, Dat T. Nguyen, Krzysztof J. Cios, Katheleen J. Gardiner, Alberto C. Costa:
miDivCon: Framework and method for Multiple Instance Learning. ISDA 2010: 495-500 - [p2]Krzysztof J. Cios, Lukasz A. Kurgan:
Machine Learning Algorithms Inspired by the Work of Ryszard Spencer Michalski. Advances in Machine Learning I 2010: 49-74
2000 – 2009
- 2009
- [c12]Joo Heon Shin, Dave Smith, Roman W. Swiniarski, F. Edward Dudek, Andrew White, Kevin Staley, Krzysztof J. Cios:
Analysis of EEG Epileptic Signals with Rough Sets and Support Vector Machines. AIME 2009: 325-334 - [c11]Supphachai Thaicharoen, Tom Altman, Katheleen J. Gardiner, Krzysztof J. Cios:
Discovering relational knowledge from two disjoint sets of literatures using inductive Logic Programming. CIDM 2009: 283-290 - 2008
- [j36]Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Natalie Ahn, Katheryn Resing, Karen Kafadar, Krzysztof J. Cios:
Improved machine learning method for analysis of gas phase chemistry of peptides. BMC Bioinform. 9 (2008) - [j35]Lukasz A. Kurgan, Krzysztof J. Cios, Ke Chen:
SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences. BMC Bioinform. 9 (2008) - [j34]Chia-Yu Yen, Krzysztof J. Cios:
Image recognition system based on novel measures of image similarity and cluster validity. Neurocomputing 72(1-3): 401-412 (2008) - [j33]Cao D. Nguyen, Krzysztof J. Cios:
GAKREM: A novel hybrid clustering algorithm. Inf. Sci. 178(22): 4205-4227 (2008) - [j32]Cao D. Nguyen, Michael Mannino, Katheleen J. Gardiner, Krzysztof J. Cios:
CLusFCM: an Algorithm for Predicting protein Functions Using homologies and protein Interactions. J. Bioinform. Comput. Biol. 6(1): 203-222 (2008) - [j31]Jeffrey J. Lovelace, Krzysztof J. Cios:
A Very Simple Spiking Neuron Model That Allows for Modeling of Large, Complex Systems. Neural Comput. 20(1): 65-90 (2008) - [c10]Supphachai Thaicharoen, Tom Altman, Krzysztof J. Cios:
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification. AusDM 2008: 209-217 - [c9]Cao D. Nguyen, Katheleen J. Gardiner, Duong Nguyen, Krzysztof J. Cios:
Prediction of Protein Functions from Protein Interaction Networks: A Naïve Bayes Approach. PRICAI 2008: 788-798 - 2007
- [j30]Brian Tripet, Megha Renuka Jayadev, Don Blow, Cao D. Nguyen, Robert S. Hodges, Krzysztof J. Cios:
Proteomic data mining using predicted peptide chromatographic retention times. Int. J. Bioinform. Res. Appl. 3(4): 431-445 (2007) - [j29]Cao D. Nguyen, Katheleen J. Gardiner, Krzysztof J. Cios:
A Hidden Markov Model for Predicting protein Interfaces. J. Bioinform. Comput. Biol. 5(3): 739-753 (2007) - 2006
- [j28]Janet Siebert, Krzysztof J. Cios, M. Karen Newell:
A rich analytical environment for flow cytometry experimental results. Int. J. Bioinform. Res. Appl. 2(1): 52-62 (2006) - [j27]Waldemar Swiercz, Krzysztof J. Cios, Kevin Staley, Lukasz A. Kurgan, Frank Accurso, Scott Sagel:
A new synaptic plasticity rule for networks of spiking neurons. IEEE Trans. Neural Networks 17(1): 94-105 (2006) - [j26]Lukasz A. Kurgan, Krzysztof J. Cios, Scott Dick:
Highly scalable and robust rule learner: performance evaluation and comparison. IEEE Trans. Syst. Man Cybern. Part B 36(1): 32-53 (2006) - 2005
- [j25]Krzysztof J. Cios, Hiroshi Mamitsuka, Tomomasa Nagashima, Ryszard Tadeusiewicz:
Computational intelligence in solving bioinformatics problems. Artif. Intell. Medicine 35(1-2): 1-8 (2005) - [j24]Jishou Ruan, Kui Wang, Jie Yang, Lukasz A. Kurgan, Krzysztof J. Cios:
Highly accurate and consistent method for prediction of helix and strand content from primary protein sequences. Artif. Intell. Medicine 35(1-2): 19-35 (2005) - [j23]Daniel Dvorkin, Valerie Fadok, Krzysztof J. Cios:
SiMCAL 1 algorithm for analysis of gene expression data related to the phosphatidylserine receptor. Artif. Intell. Medicine 35(1-2): 49-60 (2005) - [p1]Chia-Yu Yen, Krzysztof J. Cios, Mark W. Duncan:
Identification of contaminants in MALDI-ToF proteomics spectra via Data Mining. Advances in Bioinformatics and Its Applications 2005 - 2004
- [j22]Krzysztof J. Cios, Waldemar Swiercz, William Jackson:
Networks of spiking neurons in modeling and problem solving. Neurocomputing 61: 99-119 (2004) - [j21]Krzysztof J. Cios, Lukasz A. Kurgan:
CLIP4: Hybrid inductive machine learning algorithm that generates inequality rules. Inf. Sci. 163(1-3): 37-83 (2004) - [j20]Lukasz A. Kurgan, Krzysztof J. Cios:
CAIM Discretization Algorithm. IEEE Trans. Knowl. Data Eng. 16(2): 145-153 (2004) - [c8]Jeffrey J. Lovelace, Krzysztof J. Cios:
Dual threshold based neural modeling to study systems of spiking neurons. IJCNN 2004: 483-488 - 2003
- [c7]Mark W. Duncan, Kim Fung, Heng Wang, Chia-Yu Yen, Krzysztof J. Cios:
Identification of Contaminants in Proteomics Mass Spectrometry Data. CSB 2003: 409-410 - [c6]Lukasz A. Kurgan, Krzysztof J. Cios:
Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm. ICMLA 2003: 30-36 - [e2]M. Arif Wani, Krzysztof J. Cios, Khalid Hafeez:
Proceedings of the 2003 International Conference on Machine Learning and Applications - ICMLA 2003, June 23-24, 2003, Los Angeles, California, USA. CSREA Press 2003 [contents] - 2002
- [j19]Krzysztof J. Cios, G. William Moore:
Uniqueness of medical data mining. Artif. Intell. Medicine 26(1-2): 1-24 (2002) - [j18]Jaroslaw P. Sacha, Lucy S. Goodenday, Krzysztof J. Cios:
Bayesian learning for cardiac SPECT image interpretation. Artif. Intell. Medicine 26(1-2): 109-143 (2002) - [c5]Krzysztof J. Cios, William Jackson, Waldemar Swiercz, L. Springhetti:
Spiking Neurons in Clustering of Diabetic Retinopathy Data. HIS 2002: 84-94 - [c4]Lukasz A. Kurgan, Waldemar Swiercz, Krzysztof J. Cios:
Semantic Mapping of XML Tags Using Inductive Machine Learning. ICMLA 2002: 99-109 - [e1]M. Arif Wani, Hamid R. Arabnia, Krzysztof J. Cios, Khalid Hafeez, Graham Kendall:
Proceedings of the 2002 International Conference on Machine Learning and Applications - ICMLA 2002, June 24-27, 2002, Las Vegas, Nevada, USA. CSREA Press 2002, ISBN 1-892512-29-7 [contents] - 2001
- [j17]Lukasz A. Kurgan, Krzysztof J. Cios, Ryszard Tadeusiewicz, Marek R. Ogiela, Lucy S. Goodenday:
Knowledge discovery approach to automated cardiac SPECT diagnosis. Artif. Intell. Medicine 23(2): 149-169 (2001) - [j16]Krzysztof J. Cios:
Fuzzy classifier design: Ludmila Kuncheva; Physica-Verlag and Springer, Wurzburg and Berlin, 2000, 315 pp. ISBN 3-7908-1298-6. Neurocomputing 36(1-4): 243 (2001) - [j15]Krzysztof J. Cios:
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 36(1-4): 245-246 (2001) - [d2]Krzysztof J. Cios, Lukasz A. Kurgan, Lucy S. Goodenday:
SPECT Heart. UCI Machine Learning Repository, 2001 - [d1]Krzysztof J. Cios, Lukasz A. Kurgan, Lucy S. Goodenday:
SPECTF Heart. UCI Machine Learning Repository, 2001 - 2000
- [j14]Krzysztof Ciesielski, Jaroslaw P. Sacha, Krzysztof J. Cios:
Synthesis of feedforward networks in supremum error bound. IEEE Trans. Neural Networks Learn. Syst. 11(6): 1213-1227 (2000)
1990 – 1999
- 1999
- [j13]Dorel M. Sala, Krzysztof J. Cios:
Solving graph algorithms with networks of spiking neurons. IEEE Trans. Neural Networks 10(4): 953-957 (1999) - 1998
- [j12]Donald K. Wedding II, Krzysztof J. Cios:
Certainty factors versus Parzen windows as reliability measures in RBF networks. Neurocomputing 19(1-3): 151-165 (1998) - [j11]Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski:
Data Mining Methods for Knowledge Discovery. IEEE Trans. Neural Networks 9(6): 1533-1534 (1998) - 1997
- [j10]Krzysztof J. Cios, Les M. Sztandera:
Ontogenic neuro-fuzzy algorithm: F-CID3. Neurocomputing 14(4): 383-402 (1997) - [j9]Jorge I. Arciniegas, Adel H. Eltimsahy, Krzysztof J. Cios:
Neural-networks-based adaptive control of flexible robotic arms. Neurocomputing 17(3-4): 141-157 (1997) - [c3]Dorel M. Sala, Krzysztof J. Cios, J. Wall:
A Spatio-Temporal Computer Model of Dynamic Organization Properties of the Adult Primate Somatosensory System. ICONIP (1) 1997: 153-156 - 1996
- [j8]Les M. Sztandera, Lucy S. Goodenday, Krzysztof J. Cios:
A neuro-fuzzy algorithm for diagnosis of coronary artery stenosis. Comput. Biol. Medicine 26(2): 97-111 (1996) - [j7]Gholamreza Torkzadeh, Krzysztof J. Cios, Kurt A. Pflughoeft:
Inductive machine learning for instrument development. Inf. Manag. 31(1): 47-55 (1996) - [j6]Donald K. Wedding II, Krzysztof J. Cios:
Time series forecasting by combining RBF networks, certainty factors, and the Box-Jenkins model. Neurocomputing 10(2): 149-168 (1996) - [c2]Krzysztof J. Cios, Lucy S. Goodenday, Kanu K. Shah, Gürsel Serpen:
A novel algorithm for classification of SPECT images of a human heart. CBMS 1996: 1-5 - 1995
- [j5]Krzysztof J. Cios, Inho Shin:
Image Recognition Neural Network: IRNN. Neurocomputing 7(2): 159-185 (1995) - 1992
- [j4]Krzysztof J. Cios, Liu Ning:
A machine learning method for generation of a neural network architecture: a continuous ID3 algorithm. IEEE Trans. Neural Networks 3(2): 280-291 (1992) - 1991
- [j3]Krzysztof J. Cios, Inho Shin, Lucy S. Goodenday:
Using Fuzzy Sets to Diagnose Coronary Artery Stenosis. Computer 24(3): 57-63 (1991) - 1990
- [j2]Krzysztof J. Cios, R. E. Freasier, Lucy S. Goodenday, L. T. Andrews:
An expert system for diagnosis of coronary artery stenosis based on 201Tl scintigrams using the Dempster-Shafer theory of evidence. Comput. Appl. Biosci. 6(4): 333-342 (1990) - [j1]Krzysztof J. Cios, Ayman Sarieh:
An edge extraction technique for noisy images. IEEE Trans. Biomed. Eng. 37(5): 520-524 (1990)
1980 – 1989
- 1989
- [c1]Liu Ning, Krzysztof J. Cios:
Knowledge Based Intelligent Tutoring System. ICCAL 1989: 420-437
Coauthor Index
Sebastián Ventura
aka: Sebastián Ventura Soto
aka: Sebastián Ventura Soto
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