Krzysztof J Cios, Fellow: IEEE, AIMBE

Krzysztof J Cios, Fellow: IEEE, AIMBE

Virginia Commonwealth University

H-index: 40

North America-United States

About Krzysztof J Cios, Fellow: IEEE, AIMBE

Krzysztof J Cios, Fellow: IEEE, AIMBE, With an exceptional h-index of 40 and a recent h-index of 20 (since 2020), a distinguished researcher at Virginia Commonwealth University, specializes in the field of Machine Learning, Data Mining, Computational Neuroscience, Biomedical Informatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

TM-SNN: Threshold Modulated Spiking Neural Network for Multi-task Learning

FASS: Face anti-spoofing system using image quality features and deep learning

Improving Spiking Neural Network Performance with Auxiliary Learning

HDLHC: Hybrid Face Anti-Spoofing Method Concatenating Deep Learning and Hand-Crafted Features

UFace: An Unsupervised Deep Learning Face Verification System

Reproducing Aplysia R-15 Bursting Neurodynamics on a Neuromorphic Microchip

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

Crba: A competitive rate-based algorithm based on competitive spiking neural networks

Krzysztof J Cios, Fellow: IEEE, AIMBE Information

University

Position

Professor and Chair of Computer Science

Citations(all)

9430

Citations(since 2020)

2611

Cited By

7790

hIndex(all)

40

hIndex(since 2020)

20

i10Index(all)

94

i10Index(since 2020)

35

Email

University Profile Page

Virginia Commonwealth University

Google Scholar

View Google Scholar Profile

Krzysztof J Cios, Fellow: IEEE, AIMBE Skills & Research Interests

Machine Learning

Data Mining

Computational Neuroscience

Biomedical Informatics

Top articles of Krzysztof J Cios, Fellow: IEEE, AIMBE

Title

Journal

Author(s)

Publication Date

TM-SNN: Threshold Modulated Spiking Neural Network for Multi-task Learning

Paolo G Cachi

Sebastián Ventura Soto

Krzysztof J Cios

2023/6/19

FASS: Face anti-spoofing system using image quality features and deep learning

Electronics

Enoch Solomon

Krzysztof J Cios

2023/5/12

Improving Spiking Neural Network Performance with Auxiliary Learning

Machine Learning and Knowledge Extraction

Paolo G Cachi

Sebastián Ventura

Krzysztof J Cios

2023/8/5

HDLHC: Hybrid Face Anti-Spoofing Method Concatenating Deep Learning and Hand-Crafted Features

Enoch Solomon

Krzysztof J Cios

2023/7/21

UFace: An Unsupervised Deep Learning Face Verification System

Electronics

Enoch Solomon

Abraham Woubie

Krzysztof J Cios

2022/11/26

Reproducing Aplysia R-15 Bursting Neurodynamics on a Neuromorphic Microchip

Paolo G Cachi

Soumil Jain

Sebastián Ventura

Gert Cauwenberghs

Krzysztof J Cios

2022/10/24

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

arXiv preprint arXiv:2208.01522

Paolo G Cachi

Sebastian Ventura

Krzysztof J Cios

2022/8/2

Crba: A competitive rate-based algorithm based on competitive spiking neural networks

Frontiers in Computational Neuroscience

Paolo G Cachi

Sebastián Ventura

Krzysztof J Cios

2021/4/22

Generating ensembles of multi-label classifiers using cooperative coevolutionary algorithms

Jose M Moyano

Eva L Gibaja

Krzysztof J Cios

Sebastián Ventura

2020

Radial basis function network in design and manufacturing of ceramics

Krzysztof J Cios

George Y Baaklini

Laszlo Berke

Alex Vary

2020/1/15

Tree-shaped ensemble of multi-label classifiers using grammar-guided genetic programming

Jose M Moyano

Eva L Gibaja

Krzysztof J Cios

Sebastián Ventura

2020/7/19

Fuzzy sets and knowledge representation issues

Krzysztof J Cios

Witold Pedrycz

2020/1/15

Fuzzy neural networks

Krzysztof J Cios

Witold Pedrycz

2020/1/15

Fast convergence of competitive spiking neural networks with sample-based weight initialization

Paolo Gabriel Cachi

Sebastián Ventura

Krzysztof Jozef Cios

2020/6/5

Ontogenic CID3 algorithm for recognition of defects in glass ribbon

Krzysztof J Cios

2020/1/15

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

Knowledge-Based Systems

Jose M Moyano

Eva L Gibaja

Krzysztof J Cios

Sebastian Ventura

2020/5/21

Induced Boolean and core neural networks

Krzysztof J Cios

Witold Pedrycz

2020/1/15

Referential logic-based neurons

Krzysztof J Cios

Witold Pedrycz

2020/1/15

Neuro-fuzzy algorithms

Krzysztof J Cios

Witold Pedrycz

2020/1/15

Ontogenic neuro-fuzzy F-CID3 algorithm

Krzysztof J Cios

Witold Pedrycz

2020/1/15

See List of Professors in Krzysztof J Cios, Fellow: IEEE, AIMBE University(Virginia Commonwealth University)

Co-Authors

H-index: 61
Chris Gennings

Chris Gennings

Icahn School of Medicine at Mount Sinai

H-index: 60
Sebastián Ventura (ORCID: 0000-0003-4216-6378)

Sebastián Ventura (ORCID: 0000-0003-4216-6378)

Universidad de Córdoba

H-index: 53
Mark William Duncan

Mark William Duncan

University of Colorado Denver

H-index: 44
Brent G. Wilson

Brent G. Wilson

University of Colorado Denver

H-index: 43
Ryszard Tadeusiewicz

Ryszard Tadeusiewicz

Akademia Górniczo-Hutnicza

H-index: 41
Marek R. Ogiela (Fellow SPIE, FIET)

Marek R. Ogiela (Fellow SPIE, FIET)

Akademia Górniczo-Hutnicza

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