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Hiranmayi Ranganathan
Observed names:
Hiran Ranganathan,
Ranganathan Hiranmayi,
Ranganathan, Hiranmayi
Institution:
Lawrence Livermore National Laboratory
Observed institutions:
Lawrence Livermore National Laboratory,
University of California, Santa Barbara,
Arizona State University
OpenAlex ID:
A5103820006
Multimodal emotion recognition using deep learning architectures
2016
·
Hiranmayi Ranganathan
, Shayok Chakraborty
, et al.
·
IEEE Winter Conference on Applications of Computer Vision
·
258
Deep active learning for image classification
2017
·
Hiranmayi Ranganathan
, Hemanth Venkateswara
, et al.
·
Proceedings - International Conference on Image Processing
·
83
Deep Active Learning for Image Regression
2020
·
Hiranmayi Ranganathan
, Hemanth Venkateswara
, et al.
·
Advances in intelligent systems and computing
·
19
Transfer of multimodal emotion features in deep belief networks
2016
·
Hiranmayi Ranganathan
, Shayok Chakraborty
, et al.
·
Asilomar Conference on Signals, Systems and Computers (ACSSC)
·
9
Multi-Label Deep Active Learning with Label Correlation
2018
·
Hiranmayi Ranganathan
, Hemanth Venkateswara
, et al.
·
Proceedings - International Conference on Image Processing
·
5
Wavelet domain mutual information synchronization of multimodal cardiac microscopy image sequences
2009
·
Michael Liebling
, Hiranmayi Ranganathan
·
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
·
5
Meta2DB: curated shotgun metagenomic feature sets and metadata for health state prediction
2026
·
Car Reen Kok
, Nisha J Mulakken
, et al.
·
Bioinformatics
·
3
PDF
Beyond microbial abundance: metadata integration enhances disease prediction in human microbiome studies
2026
·
Andre R Goncalves
, Hiranmayi Ranganathan
, et al.
·
Frontiers in Microbiology
·
3
PDF
Hierarchical sparse Bayesian multitask learning for disease prediction in pooled microbiome studies
2026
·
Haonan Zhu
, Andre R. Goncalves
, et al.
·
BioData Mining
·
1
An Embeddings Fusion Approach Predicts Disease State from Microbiome Features
2026
·
Camilo Valdes
, Andre Goncalves
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
Model Choice Metrics to Optimize Profile-QSAR Performance
2022
·
Stewart He
, Sookyung Kim
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
PDF
Deep Active Learning Explored Across Diverse Label Spaces
2018
·
Hiranmayi Ranganathan
深信念ネットワークにおけるマルチモーダル感情特徴の移動【Powered by NICT】
2016
·
Ranganathan Hiranmayi
, Chakraborty Shayok
, et al.
·
IEEE Conference Proceedings
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Works count:
14
Citation count:
386
H-index:
5
I10-index:
3
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