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Sarmimala Saikia
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2010 – 2019
- 2019
- [c7]Richa Verma, Sarmimala Saikia, Harshad Khadilkar, Puneet Agarwal, Gautam Shroff, Ashwin Srinivasan:
A Reinforcement Learning Framework for Container Selection and Ship Load Sequencing in Ports. AAMAS 2019: 2250-2252 - 2018
- [c6]Sarmimala Saikia, Richa Verma, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan:
Evolutionary RL for Container Loading. ESANN 2018 - [i4]Sarmimala Saikia, Richa Verma, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan:
Evolutionary RL for Container Loading. CoRR abs/1805.06664 (2018) - 2016
- [c5]Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig, Sarmimala Saikia:
Generation of Near-Optimal Solutions Using ILP-Guided Sampling. ILP 2016: 120-131 - [c4]Sarmimala Saikia, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Puneet Agarwal, Richa Rawat:
Neuro-Symbolic EDA-Based Optimization Using ILP-Enhanced DBNs. CoCo@NIPS 2016 - [i3]Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig, Sarmimala Saikia, Puneet Agarwal:
Generation of Near-Optimal Solutions Using ILP-Guided Sampling. CoRR abs/1608.01093 (2016) - [i2]Sarmimala Saikia, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Puneet Agarwal, Richa Rawat:
Neuro-symbolic EDA-based Optimisation using ILP-enhanced DBNs. CoRR abs/1612.06528 (2016) - 2015
- [c3]Puneet Agarwal, Gautam Shroff, Sarmimala Saikia, Zaigham Khan:
Efficiently discovering frequent motifs in large-scale sensor data. CODS 2015: 98-103 - [c2]Sarmimala Saikia, Gautam Shroff, Puneet Agarwal, Ashwin Srinivasan:
Succinctly summarizing machine usage via multi-subspace clustering of multi-sensor data. DSAA 2015: 1-10 - [i1]Puneet Agarwal, Gautam Shroff, Sarmimala Saikia, Zaigham Khan:
Efficiently Discovering Frequent Motifs in Large-scale Sensor Data. CoRR abs/1501.00405 (2015) - 2014
- [c1]Sarmimala Saikia, Gautam Shroff, Puneet Agarwal, Ashwin Srinivasan, Aditeya Pandey, Gaurangi Anand:
Exploratory Data Analysis Using Alternating Covers of Rules and Exceptions. COMAD 2014: 105-108
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