Varun Mithal

According to our database1, Varun Mithal authored at least 27 papers between 2008 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
NN2Rules: Extracting Rule List from Neural Networks.
CoRR, 2022

TE2Rules: Extracting Rule Lists from Tree Ensembles.
CoRR, 2022

2021
An Attentive Survey of Attention Models.
ACM Trans. Intell. Syst. Technol., 2021

2020
Explainable AI in Industry: Practical Challenges and Lessons Learned.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Explainable AI in industry: practical challenges and lessons learned: implications tutorial.
Proceedings of the FAT* '20: Conference on Fairness, 2020

2019
Explainable AI in Industry.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Spatio-temporal classification at multiple resolutions using multi-view regularization.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework.
Remote. Sens., 2018

Classifying Multivariate Time Series by Learning Sequence-level Discriminative Patterns.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

2017
RAPT: Rare Class Prediction in Absence of True Labels.
IEEE Trans. Knowl. Data Eng., 2017

2016
Global Monitoring of Inland Water Dynamics: State-of-the-Art, Challenges, and Opportunities.
Proceedings of the Computational Sustainability, 2016

2015
Post Classification Label Refinement Using Implicit Ordering Constraint Among Data Instances.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
A reference based analysis framework for understanding anomaly detection techniques for symbolic sequences.
Data Min. Knowl. Discov., 2014

2013
Change Detection from Temporal Sequences of Class Labels: Application to Land Cover Change Mapping.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Multiple Hypothesis Object Tracking For Unsupervised Self-Learning: An Ocean Eddy Tracking Application.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Earth Science Applications of Sensor Data.
Proceedings of the Managing and Mining Sensor Data, 2013

2012
Time series change detection using segmentation: A case study for land cover monitoring.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

EddyScan: A physically consistent ocean eddy monitoring application.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

A new data mining framework for forest fire mapping.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

2011
Monitoring global forest cover using data mining.
ACM Trans. Intell. Syst. Technol., 2011

Gopher: Global observation of Planetary Health and Ecosystem Resources.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Incorporating Natural Variation into Time Series-Based Land Cover Change Detection.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

2010
Automated detection of forest cover changes.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

A Comparative Study Of Algorithms For Land Cover Change.
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010

2008
Comparative Evaluation of Anomaly Detection Techniques for Sequence Data.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008


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