Rasiah Loganantharaj - researchr alias

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Viewing Publication 1 - 32 from 32

2021

An integrated deep learning and dynamic programming method for predicting tumor suppressor genes, oncogenes, and fusion from PDB structuresNishanth Anandanadarajah, C. H. Chu, Rasiah Loganantharaj. cbm, 133:104323, 2021. [doi]

2017

A deep learning model for predicting tumor suppressor genes and oncogenes from PDB structureAmirhossein Tavanaei, Nishanth Anandanadarajah, Anthony S. Maida, Rasiah Loganantharaj. bibm 2017: 613-617 [doi]

2016

Towards recognition of protein function based on its structure using deep convolutional networksAmirhossein Tavanaei, Anthony S. Maida, Arun Kaniymattam, Rasiah Loganantharaj. bibm 2016: 145-149 [doi]

2013

PAVIS: a tool for Peak Annotation and VisualizationWeichun Huang, Rasiah Loganantharaj, Bryce Schroeder, David Fargo, Leping Li. bioinformatics, 29(23):3097-3099, 2013. [doi]

2012

A new algorithm for quantifying binding site pattern similarity with applications for Next Generation SequencingPaul W. Bible, Rasiah Loganantharaj. ijbra, 8(1/2):4-17, 2012. [doi]

2005

Extension of Petri Nets for Representing and Reasoning with Tasks with Imprecise DurationsStanislav Kurkovsky, Rasiah Loganantharaj. apin, 23(2):97-108, 2005. [doi]

Recognizing Transcription Start Site (TSS) of Plant PromotersRasiah Loganantharaj. itcc 2005: 20-25 [doi]

2002

Towards Understanding the Computational Cliff of Solving Resource Constrained Scheduling ProblemsRasiah Loganantharaj. caine 2002: 130-133

2000

Meta-classifiers and Selective SuperiorityRyan Benton, Miroslav Kubat, Rasiah Loganantharaj. ieaaie 2000: 434-442 [doi]

Design and Development of Autonomous Intelligence Smart SensorsRamesh Kolluru, Rasiah Loganantharaj, Stanford A. Smith, P. Bayyapu, G. LaBauve, James Spencer, Jeffery Hooker, Steve Simmons, T. M. Hebert. ieaaie 2000: 306-315 [doi]

A Framework for the Development of Agile Manufacturing EnterprisesRamesh Kolluru, Stanford A. Smith, Paul Meredith, Rasiah Loganantharaj, Terrence L. Chambers, Gunasekara Seetharaman, T. D Souza. icra 2000: 1132-1137

Modeling of, and Reasoning with Recurrent Events with Imprecise DurationsStanislav Kurkovsky, Rasiah Loganantharaj. ieaaie 2000: 272-283 [doi]

Extension of Petri nets and its applications to model systems with imprecise task durationStanislav Kurkovsky, Rasiah Loganantharaj. fuzzIEEE 2000: 369-374 [doi]

A Overview of a Synergetic Combination of Local Search with Evolutionary Learning to Solve Optimization ProblemsRasiah Loganantharaj, Bushrod Thomas. ieaaie 2000: 129-138 [doi]

Towards on optimal solution to a matching problem: Applying GA to solve stable marriage problemRasiah Loganantharaj. cata 2000: 322-325

1998

Efficient Temporal Propagation Algorithm for SchedulingRasiah Loganantharaj. time 1998: 156-161 [doi]

Discovering Heuristic Strategy for Solving Scheduling ProblemsRasiah Loganantharaj. flairs 1998: 68-72

1996

Experimenting with a Temporal Constraint Propagation AlgorithmDebasis Mitra, Rasiah Loganantharaj. apin, 6(1):39-48, 1996.

1994

1993

Reasoning about networks of temporal relations and its applications to problem solvingS. Keretho, Rasiah Loganantharaj. apin, 3(1):47-70, 1993. [doi]

A Visualizer for Observing Parallel Program BehaviorAy-Hwa Liou, Rasiah Loganantharaj. pacis 1993: 10 [doi]

1992

Consistent singleton models of a temporal constraint networkRasiah Loganantharaj, Debasis Mitra, V. Naidu Gudivada. icra 1992: 1193-1196 [doi]

1991

1988

Notes on Prolog Program Transformations, Prolog Style, and Efficient Compilation to The Warren Abstract MachineRalph Butler, Rasiah Loganantharaj, Robert Olsen. cade 1988: 323-332

1987

Parallel Link Resolution of Connection Graph Refutation and Its ImplementationRasiah Loganantharaj. icpp 1987: 154-157

1986

Parallel Theorem Proving with Connection GraphsRasiah Loganantharaj, Robert A. Mueller. cade 1986: 337-352

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