Kris Sankaran

Orcid: 0000-0002-9415-1971

According to our database1, Kris Sankaran authored at least 20 papers between 2011 and 2023.

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Bibliography

2023
Tackling Climate Change with Machine Learning.
ACM Comput. Surv., 2023

2022
Artificial intelligence for climate change adaptation.
WIREs Data Mining Knowl. Discov., 2022

Mapping Glacial Lakes Using Historically Guided Segmentation Models.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Interactive Visualization and Representation Analysis Applied to Glacier Segmentation.
ISPRS Int. J. Geo Inf., 2022

Spatial Transcriptomics Dimensionality Reduction using Wavelet Bases.
CoRR, 2022

Sampling Strategy for Fine-Tuning Segmentation Models to Crisis Area under Scarcity of Data.
CoRR, 2022

Discovering Concepts in Learned Representations using Statistical Inference and Interactive Visualization.
CoRR, 2022

Source data selection for out-of-domain generalization.
CoRR, 2022

2021
Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya.
CoRR, 2020

HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery.
CoRR, 2020

2019
Nanoscale Microscopy Images Colourisation Using Neural Networks.
CoRR, 2019

Applying Knowledge Transfer for Water Body Segmentation in Peru.
CoRR, 2019

Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks.
CoRR, 2019

Interpreting Black-Box Semantic Segmentation Models in Remote Sensing Applications.
Proceedings of the 2nd Workshop on Machine Learning Methods in Visualisation for Big Data, 2019

Hierarchical Importance Weighted Autoencoders.
Proceedings of the 36th International Conference on Machine Learning, 2019

2017
Multidomain analyses of a longitudinal human microbiome intestinal cleanout perturbation experiment.
PLoS Comput. Biol., 2017

2012
A Hidden Markov Model Approach to Identifying Novel Functional Modules in Biological Networks.
Int. J. Comput. Their Appl., 2012

2011
A Hidden Markov Model Approach to Identifying Novel Functional Modules.
Proceedings of the ISCA 3rd International Conference on Bioinformatics and Computational Biology, 2011


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