Krzysztof Cios | Academic Influence

Krzysztof Cios's AcademicInfluence.com Rankings

Krzysztof Cios

Computer Science

#3878

World Rank

#4075

Historical Rank

Data Science

#292

World Rank

#299

Historical Rank

Database

#8098

World Rank

#8442

Historical Rank

computer-science Degrees

Download Badge

Computer Science

Krzysztof Cios's Degrees

PhD Computer Science University of Warsaw
Masters Computer Science University of Warsaw
Bachelors Computer Science University of Warsaw

Similar Degrees You Can Earn

Why Is Krzysztof Cios Influential?

(Suggest an Edit or Addition)

According to Wikipedia, Krzysztof J. Cios is a Professor and Chair of the Department of Computer Science, School of Engineering, Virginia Commonwealth University , located in Richmond, Virginia. His research is focused on machine learning, data mining, and biomedical informatics.

(See a Problem?)

Krzysztof Cios's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Uniqueness of medical data mining (2002) (690)
Data Mining Methods for Knowledge Discovery (1998) (629)
Data Mining: A Knowledge Discovery Approach (2007) (491)
CAIM discretization algorithm (2004) (448)
Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records (2014) (290)
Knowledge discovery approach to automated cardiac SPECT diagnosis (2001) (280)
Time series forecasting by combining RBF networks, certainty factors, and the Box-Jenkins model (1996) (151)
SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences (2008) (147)
Trends in Data Mining and Knowledge Discovery (2005) (140)
From the guest editor medical data mining and knowledge discovery (2000) (128)
Self-Organizing Feature Maps Identify Proteins Critical to Learning in a Mouse Model of Down Syndrome (2015) (114)
A machine learning method for generation of a neural network architecture: a continuous ID3 algorithm (1992) (104)
Review of ensembles of multi-label classifiers: Models, experimental study and prospects (2018) (99)
Advances in neural information processing systems 7 (1997) (99)
Medical data mining and knowledge discovery. (2000) (98)
A knowledge discovery approach to diagnosing myocardial perfusion (2000) (79)
Epileptic seizure detection. (2007) (79)
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. (2006) (71)
Hybrid inductive machine learning: an overview of CLIP algorithms (2002) (58)
CLIP4: Hybrid inductive machine learning algorithm that generates inequality rules (2004) (58)
Discretization Algorithm that Uses Class-Attribute Interdependence Maximization (2003) (57)
GAKREM: A novel hybrid clustering algorithm (2008) (56)
ur-CAIM: improved CAIM discretization for unbalanced and balanced data (2016) (52)
Semantic Mapping of XML Tags Using Inductive Machine Learning (2002) (50)
Improved Validation of Peptide MS/MS Assignments Using Spectral Intensity Prediction*S (2007) (50)
CLIP3: Cover learning using integer programming (1997) (45)
Highly accurate and consistent method for prediction of helix and strand content from primary protein sequences (2005) (44)
Highly scalable and robust rule learner: performance evaluation and comparison (2006) (43)
Multi-objective genetic programming for feature extraction and data visualization (2017) (43)
A new synaptic plasticity rule for networks of spiking neurons (2006) (38)
Simultaneous Quantification of Human Cardiac α- and β-Myosin Heavy Chain Proteins by MALDI-TOF Mass Spectrometry (2004) (38)
Recognition of Partially Occluded and Rotated Images With a Network of Spiking Neurons (2010) (37)
Prediction of protein secondary structure content for the twilight zone sequences (2007) (36)
Bayesian learning for cardiac SPECT image interpretation (2002) (36)
Computational intelligence in solving bioinformatics problems (2005) (33)
Image Recognition Neural Network: IRNN (1995) (32)
Using fuzzy sets to diagnose coronary artery stenosis (1991) (30)
Use of neural networks in detecting cardiac diseases from echocardiographic images (1990) (30)
Unsupervised Learning: Clustering (2007) (28)
The Knowledge Discovery Process (2007) (28)
Human chromosome 21/Down syndrome gene function and pathway database. (2005) (28)
Issues in automating cardiac SPECT diagnosis (2000) (26)
Protein annotation from protein interaction networks and Gene Ontology (2011) (25)
Neural-networks-based adaptive control of flexible robotic arms (1997) (25)
Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm (2003) (24)
Hybrid intelligence system for diagnosing coronary stenosis. Combining fuzzy generalized operators with decision rules generated by machine learning algorithms (1994) (22)
mi-DS: Multiple-Instance Learning Algorithm (2013) (22)
Identifying coronary stenosis using an image-recognition neural network (1997) (21)
Simulating Vertical and Horizontal Inhibition with Short-Term Dynamics in a Multi-column Multi-Layer Model of neocortex (2014) (21)
An evolutionary approach to build ensembles of multi-label classifiers (2019) (19)
Key challenges in proteomics and proteoinformatics (2005) (18)
New synthesis of bayesian network classifiers and cardiac spect image interpretation (1999) (18)
A novel algorithm for classification of SPECT images of a human heart (1996) (17)
An algorithm which learns multiple covers via integer linear programming. Part I: the CLILP2 algorithm (1995) (17)
Effects of Synaptic Depression and Recovery on Synchronous Network Activity (2007) (17)
Solving graph algorithms with networks of spiking neurons (1999) (16)
Simultaneous quantification of human cardiac alpha- and beta-myosin heavy chain proteins by MALDI-TOF mass spectrometry. (2004) (16)
Certainty factors versus Parzen windows as reliability measures in RBF networks (1998) (16)
Machine learning in the life sciences (2007) (15)
A Very Simple Spiking Neuron Model That Allows for Modeling of Large, Complex Systems (2008) (15)
A neuro-fuzzy algorithm for diagnosis of coronary artery stenosis (1996) (14)
Connectional parameters determine multisensory processing in a spiking network model of multisensory convergence (2011) (14)
Self-Organization in Networks of Spiking Neurons (2001) (14)
Data Mining and Knowledge Discovery (1998) (14)
Networks of spiking neurons in modeling and problem solving (2004) (13)
Unsupervised Learning: Association Rules (2007) (12)
Machine Learning Methods Predict Locomotor Response to MK-801 in Mouse Models of Down Syndrome (2011) (12)
Study of continuous ID3 and radial basis function algorithms for the recognition of glass defects (1991) (12)
Ensemble of classifiers to improve accuracy of the CLIP4 machine-learning algorithm (2002) (12)
Ontogenic neuro-fuzzy algorithm: F-CID3 (1997) (11)
Scalable CAIM discretization on multiple GPUs using concurrent kernels (2014) (11)
Innovative Methods of Teaching Science and Engineering in Secondary Schools (2006) (11)
Mining the Cystic Fibrosis Data (2005) (11)
Innovative Methods of Teaching and Learning Science and Engineering in Middle Schools (2005) (11)
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 (1995) (10)
Neural networks in detection of coronary artery disease (1989) (10)
Uniqueness of Medical Data Mining: How the new technologies and data they generate are transforming medicine (2019) (10)
Deep Neural Networks - A Brief History (2017) (10)
Sequence-Based Methods for Real Value Predictions of Protein Structure (2008) (10)
An algorithm which learns multiple covers via integer linear programming. Part II: experimental results and conclusions (1995) (10)
Image recognition system based on novel measures of image similarity and cluster validity (2008) (9)
A Bayesian approach for dealing with uncertainties in detection of coronary artery stenosis using a knowledge-based system (1989) (9)
Neuro-fuzzy algorithms (1997) (9)
Modeling of Multisensory Convergence with a Network of Spiking Neurons: A Reverse Engineering Approach (2011) (9)
Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms (2020) (8)
Feature Extraction and Selection Methods (2007) (8)
Meta mining system for supervised learning (2003) (8)
A Hidden Markov Model for Predicting protein Interfaces (2007) (8)
Prediction of Protein Functions from Protein Interaction Networks: A Naïve Bayes Approach (2008) (8)
Identification of Ictal and Pre-Ictal States Using RBF Networks with Wavelet-Decomposed EEG (2007) (8)
Supervised Learning: Decision Trees, Rule Algorithms, and Their Hybrids (2007) (7)
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 (1995) (7)
The WWW Based Data Mining Toolbox Architecture (2003) (7)
Synthesis of feedforward networks in supremum error bound (2000) (7)
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification (2008) (7)
CLusFCM: an Algorithm for Predicting protein Functions Using homologies and protein Interactions (2008) (7)
An expert system for diagnosis of coronary artery stenosis based on 201Tl scintigrams using the Dempster-Shafer theory of evidence (1990) (7)
Discovering relational knowledge from two disjoint sets of literatures using inductive Logic Programming (2009) (6)
Extracting News Sentiment and Establishing Its Relationship with the S&P 500 Index (2015) (5)
Meta Mining Architecture for Supervised Learning (2004) (5)
Advances in applications of spiking neuron networks (2000) (5)
Key challenges in proteomics and proteoinformatics. Progress in proteins. (2005) (5)
Application of neural networks to prediction of advanced composite structures mechanical response and behavior (1992) (5)
Biological restraint on the Izhikevich neuron model essential for seizure modeling (2013) (4)
Generation of Diagnostic Rules via Inductive Machine Learning (1993) (4)
Design and Testing of a Classification System which Recognizes Coronary Stenosis by Site and Relative Severity, Using Myocardial Tl-201 Scintigrams (1988) (4)
Inductive machine learning for instrument development (1996) (4)
A Spatio-Temporal Computer Model of Dynamic Organization Properties of the Adult Primate Somatosensory System (1997) (4)
A spiking neural network alternative for the analog to digital converter (2010) (4)
Knowledge Based Intelligent Tutoring System (1989) (4)
Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization (2020) (4)
NETWORKS OF SPIKING NEURONS IN DATA MINING (2001) (3)
Visualization of highly-dimensional data in 3D space (2011) (3)
ALFS: An Inductive Learning Algorithm (1991) (3)
Rule-based OneClass-DS learning algorithm (2015) (3)
Spiking Neurons in Clustering of Diabetic Retinopathy Data (2002) (3)
Radial basis function network learns ceramic processing and predicts related strength and density (1994) (3)
A rich analytical environment for flow cytometry experimental results (2006) (3)
A Neuronal Multisensory Processing Simulator (2010) (3)
Soft Computing in Design and Manufacturing of Advanced Materials (1993) (3)
Machine Learning Algorithms Inspired by the Work of Ryszard Spencer Michalski (2010) (3)
Application of Fuzzy Reasoning for Filtering and Enhancement of Ultrasonic Images (1994) (3)
Data Mining and Data Visualization (2015) (3)
CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks (2021) (2)
Validating Models of Epilepsy (2008) (2)
Self-growing neural network architecture using crisp and fuzzy entropy (1992) (2)
Structured region growing and recognition algorithm for nondestructive evaluation (1996) (2)
A comprehensive human chromosome 21 database. (2007) (2)
Supervised Ontogenic Networks (1996) (2)
Identification of contaminants in proteomics mass spectrometry data (2003) (2)
Improved machine learning method for analysis of gas phase chemistry of peptides (2008) (2)
Neuro-fuzzy Systems (1996) (2)
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 (2001) (2)
PSIDD3: Post-Scan Ultrasonic Data Display System for the Windows-Based PC Including Fuzzy Logic Analysis (2000) (2)
Fuzzy Inference, Radial Basis Functions, and Control of Flexible Robotic Manipulators (1993) (2)
Text association mining with cross-sentence inference, structure-based document model and multi-relational text mining (2009) (2)
Supervised Learning: Statistical Methods (2007) (2)
Using fuzzy sets in the prediction of flexural strength and density of silicon nitride ceramics (1994) (2)
Dual threshold based neural modeling to study systems of spiking neurons (2004) (2)
SiMCAL 1 algorithm for analysis of gene expression data related to the phosphatidylserine receptor (2005) (2)
Simulating lesions in multi-layer, multi-columnar model of neocortex (2013) (2)
Fuzzy sets engineering: By Witold Pedrycz. CRC Press, 1995, pp. 332, ISBN 0-8493-9402-3 (1995) (1)
Neural networks in the detection of early acute myocardial ischemia from canine echocardiographic radio frequency data (1990) (1)
Fuzzy sets and knowledge representation issues (1997) (1)
Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming (2020) (1)
A Comparison of Neural Networks and Fuzzy Logic Methods for Process Modeling (1996) (1)
Soft computing methods in design of superalloys (1995) (1)
Identification of Flexible Robotic Manipulators Using Neural Networks (1994) (1)
The handbook of brain theory and neural networks (1997) (1)
Multi-column multi-layer computational model of neocortex (2013) (1)
Proteomic data mining using predicted peptide chromatographic retention times (2007) (1)
Fuzzy classifier design: Ludmila Kuncheva; Physica-Verlag and Springer, Wurzburg and Berlin, 2000, 315 pp. ISBN 3-7908-1298-6 (2001) (1)
Fuzzy sets predict flexural strength and density of silicon nitride ceramics (1993) (1)
Proceedings of the 2003 International Conference on Machine Learning and Applications - ICMLA 2003, June 23-24, 2003, Los Angeles, California, USA (2003) (1)
Fuzzy neural networks (1997) (1)
Analysis of EEG Epileptic Signals with Rough Sets and Support Vector Machines (2009) (1)
Quantitative analysis of proteomics using data mining (2005) (1)
Proceedings of the 2002 International Conference on Machine Learning and Applications - ICMLA 2002, June 24-27, 2002, Las Vegas, Nevada, USA (2002) (0)
miDivCon: Framework and method for Multiple Instance Learning (2010) (0)
Proceedings of ISDA’11 (2011) (0)
Key Challenges in ProteomicsProteoinformatics (2005) (0)
Radial basis function network in design and manufacturing of ceramics (1997) (0)
Ontogenic neuro-fuzzy F-CID3 algorithm (1997) (0)
Databases, Data Warehouses, and OLAP (2007) (0)
Leukemia Classification using Cloud based Map-Reduce with K-Nearest Neighbor Classifier Framework (2019) (0)
Knowledge Discovery Process for Characterization of Materials Failure Mechanism (1999) (0)
Using genetic algorithms to improve the search of the weight space in cascade-correlation neural network (1995) (0)
Induced boolean and core neural networks (1997) (0)
Concepts of Learning, Classification, and Regression (2007) (0)
Multiple-instance and one-class rule based algorithms (2013) (0)
Data Security, Privacy and Data Mining (2007) (0)
A fatigue damage estimator using RBF, backpropagation, and CID4 neural algorithms (1992) (0)
D1.3 Neuro-fuzzy algorithms (1997) (0)
Algorithm For A Self-Growing Neural Network (1996) (0)
Modeling spontaneous bursts in hippocampus (2005) (0)
Referential logic-based neurons (1997) (0)
Methods for prediction of protein interfaces and functions (2007) (0)
Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms (2020) (0)
Assessment of Data Models (2007) (0)
Classes of fuzzy neural networks (1997) (0)
UFace: An Unsupervised Deep Learning Face Verification System (2022) (0)
Multi-objective genetic programming for feature extraction and data visualization (2015) (0)
Ontogenic CID3 algorithm for recognition of defects in glass ribbon (1997) (0)
Quantitative analysis of proteomics using data mining. An automated system for constructing assays quickly and precisely. (2005) (0)
A Comprehensive Human Chromosome 21 Database A User-Friendly Database Covering This Important Chromosome That Allows Efficient and Effective Use by Researchers from Different Areas of Expertise (2007) (0)
Identification of cellular automata (1996) (0)
MT-SNN: Spiking Neural Network that Enables Single-Tasking of Multiple Tasks (2022) (0)
ur-CAIM: improved CAIM discretization for unbalanced and balanced data (2014) (0)
Supervised Learning: Neural Networks (2007) (0)
Machine Learning Algorithms Inspired by the Work of Ryszard Spencer (0)
Identification of contaminants in MALDI-ToF proteomics spectra via Data Mining (2005) (0)

This paper list is powered by the following services:

Other Resources About Krzysztof Cios

en.wikipedia.org

What Schools Are Affiliated With Krzysztof Cios?

Krzysztof Cios is affiliated with the following schools: