Nitthilan Kannappan Jayakodi

Author

Washington State University ORCID

Also Known As

Jayakodi, Nitthilan Kannappan, Nitthilan Kanappan Jayakodi, Nitthilan Kannappan Jayakodi

Publications

229

Citations

H-Index

Concepts

All Affiliations

Washington State University

About

Nitthilan Kannappan Jayakodi is an author at Washington State University specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	156
2	Computer Science	5	5	156
3	Computer Engineering	4	4	144
4	Data Science	3	3	60
5	Management	1	1	12

Nitthilan Kannappan Jayakodi

Publications

218

Citations

H-Index

Page 1

	Year	Citations
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi, Proceedings of the AAAI Conference on Artificial Intelligence Design Space ExplorationModel OptimizationLarge-scale Global OptimizationEngineeringMachine Learning	2020	69
Trading-Off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach Nitthilan Kannappan Jayakodi, Anwesha Chatterjee, Wonje Choi, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems	2018	36
Design and Optimization of Energy-Accuracy Tradeoff Networks for Mobile Platforms via Pretrained Deep Models Nitthilan Kannappan Jayakodi, Syrine Belakaria, Aryan Deshwal, ACM Transactions on Embedded Computing Systems Convolutional Neural NetworkEngineeringMachine LearningImage AnalysisData Science	2020	31
MOOS Aryan Deshwal, Nitthilan Kannappan Jayakodi, Biresh Kumar Joardar, ACM Transactions on Embedded Computing Systems Design Space ExplorationHeterogeneous ComputingManycore SystemsEngineeringEdge Computing	2019	27
GRAMARCH: A GPU-ReRAM based Heterogeneous Architecture for Neural Image Segmentation Biresh Kumar Joardar, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Convolutional Neural NetworkEngineeringMachine LearningComputer ArchitectureNeural Image Segmentation	2020	17
Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning Shubhomoy Das, Md. Rakibul Islam, Nitthilan Kannappan Jayakodi, arXiv (Cornell University)	2019	14
Active Anomaly Detection via Ensembles Shubhomoy Das, Rakibul Islam, Nitthilan Kannappan Jayakodi, arXiv (Cornell University) Artificial IntelligenceAnomaly DetectionMachine LearningEngineeringConcept Drift	2018	12
A General Hardware and Software Co-Design Framework for Energy-Efficient Edge AI Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)	2021	12

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