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2020 – today
- 2023
[c6]Yernat Assylbekov
, Raghav Bali, Luke Bovard, Christian Klaue:
Delivery Hero Recommendation Dataset: A Novel Dataset for Benchmarking Recommendation Algorithms. RecSys 2023: 1042-1044- 2022
- [i5]Kartik Chaudhary, Raghav Bali:
Easter2.0: Improving convolutional models for handwritten text recognition. CoRR abs/2205.14879 (2022) - 2021
- [c5]Kartik Chaudhary, Raghav Bali:
EASTER: Simplifying Text Recognition using only 1D Convolutions. Canadian AI 2021 - [c4]Subhadip Maji, Raghav Bali, Sree Harsha Ankem, Kishore V. Ayyadevara:
A Simple and Interpretable Predictive Model for Healthcare. Canadian AI 2021 - [c3]Subhadip Maji, Anudeep Srivatsav Appe, Raghav Bali, Arijit Ghosh Chowdhury, Veera Raghavendra Chikka, Vamsi M. Bhandaru:
An Interpretable Deep Learning System for Automatically Scoring Request for Proposals. ICTAI 2021: 851-855 - [c2]Subhadip Maji, Arijit Ghosh Chowdhury, Raghav Bali, Vamsi M. Bhandaru:
Exclusion and Inclusion: A Model Agnostic Approach to Feature Importance in DNNs. SSCI 2021: 1-7 - 2020
- [i4]Subhadip Maji, Raghav Bali, Sree Harsha Ankem, Kishore V. Ayyadevara:
A Simple and Interpretable Predictive Model for Healthcare. CoRR abs/2007.13351 (2020) - [i3]Subhadip Maji, Arijit Ghosh Chowdhury, Raghav Bali, Vamsi M. Bhandaru:
Exclusion and Inclusion - A model agnostic approach to feature importance in DNNs. CoRR abs/2007.16010 (2020) - [i2]Subhadip Maji, Anudeep Srivatsav Appe, Raghav Bali, Veera Raghavendra Chikka, Arijit Ghosh Chowdhury, Vamsi M. Bhandaru:
An Interpretable Deep Learning System for Automatically Scoring Request for Proposals. CoRR abs/2008.02347 (2020) - [i1]Kartik Chaudhary, Raghav Bali:
EASTER: Efficient and Scalable Text Recognizer. CoRR abs/2008.07839 (2020)
2010 – 2019
- 2016
- [c1]Tamoghna Ghosh, Dipanjan Sarkar, Tushar Sharma, Ashok Desai, Raghav Bali:
Real Time Failure Prediction of Load Balancers and Firewalls. iThings/GreenCom/CPSCom/SmartData 2016: 822-827
Coauthor Index
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