Kitiporn Plaimas

16 papers A 1Misc 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Markov-based continuous learning with diversion of data distribution direction for streaming data in limited memory. Expert Syst. Appl. Peemapat Wongsriphisant, Kitiporn Plaimas, Chidchanok Lursinsap
2026	J	`jnl`	TRACED: Trend-adaptive classification with ellipsoidal disambiguation for resolving exterior and coincident regions in data streams. Inf. Sci. Peemapat Wongsriphisant, Kitiporn Plaimas, Chidchanok Lursinsap
2025	J	`jnl`	Normalized Laplacian Diffusion for Robust Cancer Pathway Extension and Critical Gene Identification from Limited Data. Comput. Panisa Janyasupab, Apichat Suratanee, Kitiporn Plaimas
2023	J	`jnl`	GeneCompete: an integrative tool of a novel union algorithm with various ranking techniques for multiple gene expression data. PeerJ Comput. Sci. Panisa Janyasupab, Apichat Suratanee, Kitiporn Plaimas
2023	J	`jnl`	ICON-GEMs: integration of co-expression network in genome-scale metabolic models, shedding light through systems biology. BMC Bioinform. Thummarat Paklao, Apichat Suratanee, Kitiporn Plaimas
2022	J	`jnl`	Heterogeneous network propagation with forward similarity integration to enhance drug-target association prediction. PeerJ Comput. Sci. Piyanut Tangmanussukum, Thitipong Kawichai, Apichat Suratanee, Kitiporn Plaimas
2021	J	`jnl`	Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations. IEEE Access Thitipong Kawichai, Apichat Suratanee, Kitiporn Plaimas
2020	—	`conf`	A classification of biochemical compounds based on their primitive structures and graph kernels. JCSSE Peemapat Wongsriphisant, Chidchanok Lursinsap, Apichat Suratanee, Kitiporn Plaimas
2017	J	`jnl`	Metabolic pathway synthesis based on predicting compound transformable pairs by using neural classifiers with imbalanced data handling. Expert Syst. Appl. Sasiporn Tongman, Suchart Chanama, Manee Chanama, Kitiporn Plaimas, Chidchanok Lursinsap
2014	J	`jnl`	Identification of inflammatory bowel disease-related proteins using a reverse k-nearest neighbor search. J. Bioinform. Comput. Biol. Apichat Suratanee, Kitiporn Plaimas
2011	—	`—`	Computational Analysis of the Metabolic Network of Microorganisms to Detect Potential Drug Targets Kitiporn Plaimas
2010	J	`jnl`	Identifying essential genes in bacterial metabolic networks with machine learning methods. BMC Syst. Biol. Kitiporn Plaimas, Roland Eils, Rainer König
2008	J	`jnl`	Machine learning based analyses on metabolic networks supports high-throughput knockout screens. BMC Syst. Biol. Kitiporn Plaimas, Jan-Phillip Mallm, Marcus Oswald, Fabian Svara, Victor Sourjik, Roland Eils, Rainer König
2007	—	`conf`	Integrating Genomic and Transcriptomic Data into Graph Based Approaches for Defining Essential Reactions in the Metabolic Network of Escherichia Coli. LWA Kitiporn Plaimas, Marcus Oswald, Roland Eils, Rainer König
2006	Misc	`conf`	Partitioning for High Performance of Predicting Dynamical Behavior of Color Diffusion in Water using 2-D tightly Coupled Neural Cellular Network. HPSC Apichat Suratanee, Kodchakorn Na Nakornphanom, Kitiporn Plaimas, Chidchanok Lursinsap
2005	A	`conf`	High Performance of Artificial Neural Network for Resolving Ambiguous Nucleotide Problem. IPDPS Kitiporn Plaimas, Chidchanok Lursinsap, Apichat Suratanee