Sourangshu Bhattacharya

According to our database1, Sourangshu Bhattacharya authored at least 51 papers between 2006 and 2022.

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

Timeline

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Bibliography

2022
CheckSel: Efficient and Accurate Data-valuation Through Online Checkpoint Selection.
CoRR, 2022

Offsetting Unequal Competition through RL-assisted Incentive Schemes.
CoRR, 2022

AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach.
ACM Trans. Knowl. Discov. Data, 2021

Scalable End-to-End Training of Knowledge Graph-Enhanced Aspect Embedding for Aspect Level Sentiment Analysis.
CoRR, 2021

Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving.
CoRR, 2021

Finding High-Value Training Data Subset Through Differentiable Convex Programming.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning Temporal Point Processes with Intermittent Observations.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Multi-criteria online frame-subset selection for autonomous vehicle videos.
Pattern Recognit. Lett., 2020

A fast scalable distributed kriging algorithm using Spark framework.
Int. J. Data Sci. Anal., 2020

Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Scalable Backdoor Detection in Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Explaining Perceived Emotion Predictions in Music: An Attentive Approach.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

An Optimized Distributed Recursive Matrix Multiplication for Arbitrary Sized Matrices.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

On Distributed Solution for Simultaneous Linear Symmetric Systems.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Attentive RNNs for Continuous-time Emotion Prediction in Music Clips.
Proceedings of the 3rd Workshop on Affective Content Analysis (AffCon 2020) co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020

2019
Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics.
ACM Trans. Web, 2019

Map Enhanced Route Travel Time Prediction using Deep Neural Networks.
CoRR, 2019

A methodology for customizing clinical tests for esophageal cancer based on patient preferences.
Artif. Intell. Medicine, 2019

Probabilistic Path Planning using Obstacle Trajectory Prediction.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

Non-link Preserving Network Embedding using Subspace Learning for Network Reconstruction.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

2018
Cloud Computing-Based Non-Invasive Glucose Monitoring for Diabetic Care.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018

Stark: Fast and Scalable Strassen's Matrix Multiplication using Apache Spark.
CoRR, 2018

SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark.
CoRR, 2018

Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark.
Proceedings of the 19th International Conference on Distributed Computing and Networking, 2018

Shaping Opinion Dynamics in Social Networks.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Task-Specific Representation Learning for Web-Scale Entity Disambiguation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Performance Counters to Rescue: A Machine Learning based safeguard against Micro-architectural Side-Channel-Attacks.
IACR Cryptol. ePrint Arch., 2017

SLANT+: A Nonlinear Model for Opinion Dynamics in Social Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Link Travel Time Prediction from Large Scale Endpoint Data.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

Analyzing Music to Music Perceptual Contagion of Emotion in Clusters of Survey-Takers, Using a Novel Contagion Interface: A Case Study of Hindustani Classical Music.
Proceedings of the Music Technology with Swing - 13th International Symposium, 2017

Forecasting Ad-Impressions on Online Retail Websites using Non-homogeneous Hawkes Processes.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Mining Twitter and Taxi Data for Predicting Taxi Pickup Hotspots.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Distributed Weighted Parameter Averaging for SVM Training on Big Data.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Discriminative Link Prediction using Local, Community, and Global Signals.
IEEE Trans. Knowl. Data Eng., 2016

Learning and Forecasting Opinion Dynamics in Social Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Modeling Opinion Dynamics in Diffusion Networks.
CoRR, 2015

Distributed Weighted Parameter Averaging for SVM Training on Big Data.
CoRR, 2015

2014
Learning a Linear Influence Model from Transient Opinion Dynamics.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2012
Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Segmenting web-domains and hashtags using length specific models.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Learning to tokenize web domains.
Proceedings of the 20th International Conference on World Wide Web, 2011

2010
Robust Formulations for Handling Uncertainty in Kernel Matrices.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2007
Comparison of protein structures by growing neighborhood alignments.
BMC Bioinform., 2007

Kernels on Attributed Pointsets with Applications.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Structural alignment based kernels for protein structure classification.
Proceedings of the Machine Learning, 2007

2006
Projections for fast protein structure retrieval.
BMC Bioinform., 2006


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