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Publication search results
found 192 matches
- 2024
- Rahul Pullanikkat, Soham Poddar, Anik Das, Tushar Jaiswal, Vivek Kumar Singh, Moumita Basu, Saptarshi Ghosh:
Utilizing the Twitter social media to identify transportation-related grievances in Indian cities. Soc. Netw. Anal. Min. 14(1): 118 (2024) - Sharvari Ravindran, Saptarshi Chaudhuri, Jyotsna Bapat, Debabrata Das:
Novel Adaptive Multi-User Multi-Services Scheduling to Enhance Throughput in 5G-Advanced and Beyond. IEEE Trans. Netw. Serv. Manag. 21(2): 2323-2338 (2024) - Debolina Paul, Saptarshi Chakraborty, Swagatam Das:
t-Divergence: A New Divergence Measure with Application to Robust Statistics & Clustering. Tiny Papers @ ICLR 2024 - Subhendu Khatuya, Rajdeep Mukherjee, Akash Ghosh, Manjunath Hegde, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal:
Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling. NAACL-HLT 2024: 7391-7403 - Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Jens Frankenreiter, Stefan Bechtold, Krishna P. Gummadi:
Antitrust, Amazon, and Algorithmic Auditing. CoRR abs/2403.18623 (2024) - Gaurav Shinde, Rohan Mohapatra, Pooja Krishan, Harish Garg, Srikanth Prabhu, Sanchari Das, Mohammad Masum, Saptarshi Sengupta:
The State of Lithium-Ion Battery Health Prognostics in the CPS Era. CoRR abs/2403.19816 (2024) - Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das:
Convolutional Prompting meets Language Models for Continual Learning. CoRR abs/2403.20317 (2024) - Saptarshi Dasgupta, Akshat Gupta, Shreshth Tuli, Rohan Paul:
Uncertainty-aware Active Learning of NeRF-based Object Models for Robot Manipulators using Visual and Re-orientation Actions. CoRR abs/2404.01812 (2024) - Saikat Samanta, Saptarshi Karmakar, Satayajay Behuria, Shibam Dutta, Soujit Das, Soumik Saha:
Revitalising Stagecraft: NLP-Driven Sentiment Analysis for Traditional Theater Revival. CoRR abs/2405.05813 (2024) - Subhendu Khatuya, Rajdeep Mukherjee, Akash Ghosh, Manjunath Hegde, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal:
Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling. CoRR abs/2405.06671 (2024) - Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon. CoRR abs/2407.01732 (2024) - Siddharth D. Jaiswal, Abhisek Dash, Nitika Shroff, Yashwanth Babu Vunnam, Saptarshi Ghosh, Animesh Mukherjee:
Auditing the Grid-Based Placement of Private Label Products on E-commerce Search Result Pages. CoRR abs/2407.14650 (2024) - Siddharth D. Jaiswal, Animesh Ganai, Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee:
Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems. CoRR abs/2407.15810 (2024) - Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee, Abhijnan Chakraborty, Krishna P. Gummadi:
Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace. CoRR abs/2407.19099 (2024) - 2023
- Deepak Kumar Panda, Saptarshi Das, Stuart Townley:
Hyperparameter optimized classification pipeline for handling unbalanced urban and rural energy consumption patterns. Expert Syst. Appl. 214: 119127 (2023) - Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Q. Xu:
Implicit Annealing in Kernel Spaces: A Strongly Consistent Clustering Approach. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5862-5871 (2023) - Lamia Alyami, Deepak Kumar Panda, Saptarshi Das:
Bayesian Noise Modelling for State Estimation of the Spread of COVID-19 in Saudi Arabia with Extended Kalman Filters. Sensors 23(10): 4734 (2023) - Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms. IEEE Trans. Comput. Soc. Syst. 10(3): 1301-1313 (2023) - Saptarshi Chakraborty, Debolina Paul, Swagatam Das:
On Consistent Entropy-Regularized k-Means Clustering With Feature Weight Learning: Algorithm and Statistical Analyses. IEEE Trans. Cybern. 53(8): 4779-4790 (2023) - Chandramauli Chakraborty, Sayan Paul, Saptarshi Chakraborty, Swagatam Das:
Clustering High-dimensional Data with Ordered Weighted ℓ1 Regularization. AISTATS 2023: 7176-7189 - Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das:
Exemplar-Free Continual Transformer with Convolutions. ICCV 2023: 5874-5884 - Shuyan Dong, Saptarshi Das, Stuart Townley, Alex Thornton:
Swarm Intelligence Based Drone Flocking Model. ICAC 2023: 1-6 - Neeta Jha, Saptarshi Chaudhuri, Jyotsna Bapat, Amrita Mishra, Debabrata Das:
Enhancing User Detection via SS Burst Repetition in 5G Millimeter Wave Systems. VTC Fall 2023: 1-6 - Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das:
Exemplar-Free Continual Transformer with Convolutions. CoRR abs/2308.11357 (2023) - 2022
- Hanjie Chen, Saptarshi Das, John M. Morgan, Koushik Maharatna:
Prediction and classification of ventricular arrhythmia based on phase-space reconstruction and fuzzy c-means clustering. Comput. Biol. Medicine 142: 105180 (2022) - Saptarshi Chakraborty, Swagatam Das:
Detecting Meaningful Clusters From High-Dimensional Data: A Strongly Consistent Sparse Center-Based Clustering Approach. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2894-2908 (2022) - Moumita Basu, Sipra Das Bit, Saptarshi Ghosh:
Utilizing microblogs for optimized real-time resource allocation in post-disaster scenarios. Soc. Netw. Anal. Min. 12(1): 15 (2022) - Deepak Kumar Panda, Saptarshi Das, Stuart Townley:
Toward a More Renewable Energy-Based LFC Under Random Packet Transmissions and Delays With Stochastic Generation and Demand. IEEE Trans Autom. Sci. Eng. 19(2): 1217-1232 (2022) - Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee, Soumya Sharma, Manjunath Hegde, Afreen Shaikh, Shivani Shrivastava, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal:
ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts. EMNLP 2022: 10893-10906 - Varun Gumma, Barsha Mitra, Soumyadeep Dey, Pratik Shashikantbhai Patel, Sourabh Suman, Saptarshi Das, Jaideep Vaidya:
PAMMELA: Policy Administration Methodology using Machine Learning. SECRYPT 2022: 147-157
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