Arpad Kelemen

发表

Computational Intelligence in Medical Informatics

Yulan Liang, Ajith Abraham, Arpad Kelemen, 2008, Studies in Computational Intelligence.

Multi-Center Correction Functions for Magnetization Transfer Ratios of MRI Scans

Arpad Kelemen, Yulan Liang, 2012 .

Optimizing intelligent agent's constraint satisfaction with neural networks

Robert Kozma, Arpad Kelemen, Stan Franklin, 2003 .

A Comparative Study of Different Machine Learning Approaches for Decision Making

Arpad Kelemen, Stan Franklin, Yulan Liang, 2005 .

IDA: a cognitive agent architecture

Lee McCauley, Arpad Kelemen, Stan Franklin, 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

Constraint satisfaction as a support for decision making in software agents

Arpad Kelemen, Stan Franklin, S. Franklin, 2002 .

Computational Intelligence in Bioinformatics

Yuehui Chen, Ajith Abraham, Arpad Kelemen, 2008, Computational Intelligence in Bioinformatics.

Optimizing decision making with neural networks in software agents

Arpad Kelemen, Yulan Liang, A. Kelemen, 2005 .

Mining heterogeneous gene expression data with time lagged recurrent neural networks

Arpad Kelemen, Yulan Liang, 2002, KDD.

Statistical advances and challenges for analyzing correlated high dimensional SNP data in genomic study for complex diseases

Arpad Kelemen, Yulan Liang, A. Kelemen, 2008, 0803.4065.

Learning High Quality Decisions with Neural Networks in "Conscious" Software Agents

Arpad Kelemen, Stan Franklin, Yulan Liang, 2005 .

Review of Computational Intelligence for Gene-Gene and Gene-Environment Interactions in Disease Mapping

Athanasios V. Vasilakos, Arpad Kelemen, Yulan Liang, 2008, Computational Intelligence in Medical Informatics.

Temporal gene expression classification with regularised neural network

Arpad Kelemen, Yulan Liang, A. Kelemen, 2005, Int. J. Bioinform. Res. Appl..

Time lagged recurrent neural network for temporal gene expression classification

Arpad Kelemen, Yulan Liang, 2009, CI 2009.

Constraint Satisfaction In "Conscious" Software Agents--A Practical Application

Arpad Kelemen, Stan Franklin, Yulan Liang, 2005, Appl. Artif. Intell..

Big Data Science and Its Applications in Health and Medical Research: Challenges and Opportunities

Arpad Kelemen, Yulan Liang, A. Kelemen, 2016 .

Sequential support vector regression with embedded entropy for SNP selection and disease classification

Arpad Kelemen, Yulan Liang, A. Kelemen, 2011, Stat. Anal. Data Min..

Differential and trajectory methods for time course gene expression data

Arpad Kelemen, Yulan Liang, Bamidele Tayo, 2005, Bioinform..

Adaptive Generalized Estimation Equation with Bayes Classifier for the Job Assignment Problem

Arpad Kelemen, King-Ip Lin, Yulan Liang, 2002, PAKDD.

Dynamic modeling and network approaches for omics time course data: overview of computational approaches and applications

Arpad Kelemen, Yulan Liang, A. Kelemen, 2018, Briefings Bioinform..

Time Course Gene Expression Classification with Time Lagged Recurrent Neural Network

Arpad Kelemen, Yulan Liang, 2008, Computational Intelligence in Bioinformatics.

Computational Intelligence in Bioinformatics: SNP/Haplotype Data in Genetic Association Study for Common Diseases

Athanasios V. Vasilakos, Arpad Kelemen, Yulan Liang, 2009, IEEE Transactions on Information Technology in Biomedicine.

Computational dynamic approaches for temporal omics data with applications to systems medicine

Arpad Kelemen, Yulan Liang, A. Kelemen, 2017, BioData Mining.

Bayesian models and meta analysis for multiple tissue gene expression data following corticosteroid administration

Arpad Kelemen, Yulan Liang, A. Kelemen, 2008, BMC Bioinformatics.

A Novel Marker Detection System for People with Visual Impairment Using the Improved Tiny-YOLOv3 Model

Arpad Kelemen, Cecilia Sik-Lányi, Mostafa Elgendy, 2021, Comput. Methods Programs Biomed..

Considerations for a Successful Clinical Decision Support System

Arpad Kelemen, A. Kelemen, Ranielle S Castillo, 2013, Computers, informatics, nursing : CIN.

Associating phenotypes with molecular events: recent statistical advances and challenges underpinning microarray experiments

Arpad Kelemen, Yulan Liang, A. Kelemen, 2005, Functional & Integrative Genomics.

Bayesian Finite Markov Mixture Model for Temporal Multi‐Tissue Polygenic Patterns

Arpad Kelemen, Yulan Liang, A. Kelemen, 2009, Biometrical journal. Biometrische Zeitschrift.

Bayesian State Space Models for Inferring and Predicting Temporal Gene Expression Profiles

Arpad Kelemen, Yulan Liang, A. Kelemen, 2007, Biometrical journal. Biometrische Zeitschrift.

Pattern Differentiations and Formulations for Heterogeneous Genomic Data through Hybrid Approaches

Arpad Kelemen, Yulan Liang, 2006 .

Augmented reality in neurosurgery

Arpad Kelemen, Cecilia Sik-Lanyi, C. Sik-Lányi, 2016, Archives of medical science : AMS.

Bayesian state space models for dynamic genetic network construction across multiple tissues

Arpad Kelemen, Yulan Liang, A. Kelemen, 2016, Statistical applications in genetics and molecular biology.