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ORCIDSaptarshi Ghosh 0001
Person information
- affiliation: Indian Institute of Technology Kharagpur, India
- affiliation (former): Indian Institute of Engineering Science and Technology Shibpur, India
- affiliation (former): Max Planck Institute for Software Systems, Germany
- affiliation (PhD 2013): Indian Institute of Technology Kharagpur, India
Other persons with the same name
- Saptarshi Ghosh — disambiguation page
- Saptarshi Ghosh 0002
![[0000-0002-8548-7094]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8548-7094")
— Indian Institute of Technology Delhi, Department of Electrical Engineering, New Delhi, India - Saptarshi Ghosh 0003 — Indian Institute of Technology Indore, Department of Physics, India
- Saptarshi Ghosh 0004 — Chung-Ang University, School of Electrical and Electronics Engineering, Seoul, South Korea
- Saptarshi Ghosh 0005 — London South Bank University, Division of Computer Science and Informatics, UK
- Saptarshi Ghosh 0006 — University of North Bengal, Department of Library and Information Science, Raja Rammohunpur, WB, India
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2020 – today
- 2025
[c99]Soham Poddar, Paramita Koley, Janardan Misra, Niloy Ganguly, Saptarshi Ghosh:
Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models. NAACL (Long Papers) 2025: 12688-12704- [i53]Soham Poddar, Paramita Koley, Janardan Misra, Niloy Ganguly, Saptarshi Ghosh:
Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models. CoRR abs/2502.05610 (2025) - [i52]Purbid Bambroo, Subinay Adhikary, Paheli Bhattacharya, Abhijnan Chakraborty, Saptarshi Ghosh, Kripabandhu Ghosh:
MARRO: Multi-headed Attention for Rhetorical Role Labeling in Legal Documents. CoRR abs/2503.10659 (2025) - 2024
- [j38]Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh:
Ensemble methods for improving extractive summarization of legal case judgements. Artif. Intell. Law 32(1): 231-289 (2024) - [j37]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. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-31 (2024) - [j36]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) - [j35]Soham Poddar, Rajdeep Mukherjee, Azlaan Mustafa Samad, Niloy Ganguly, Saptarshi Ghosh:
MuLX-QA: Classifying Multi-Labels and Extracting Rationale Spans in Social Media Posts. ACM Trans. Web 18(3): 35:1-35:26 (2024) - [c98]Abhinav Joshi, Shounak Paul, Akshat Sharma, Pawan Goyal, Saptarshi Ghosh, Ashutosh Modi:
IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning. ACL (1) 2024: 11460-11499 - [c97]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. AIES (1) 2024: 316-327 - [c96]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. AIES (1) 2024: 634-646 - [c95]Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das:
Convolutional Prompting meets Language Models for Continual Learning. CVPR 2024: 23616-23626 - [c94]Maied Almansoori, Mazharul Islam, Saptarshi Ghosh, Mainack Mondal, Rahul Chatterjee:
The Web of Abuse: A Comprehensive Analysis of Online Resource in the Context of Technology-Enabled Intimate Partner Surveillance. EuroS&P 2024: 773-789 - [c93]Soham Poddar, Biswajit Paul, Moumita Basu, Saptarshi Ghosh:
ICPR 2024 Competition on Multilingual Claim-Span Identification. ICPR (34) 2024: 134-144 - [c92]Soham Poddar, Rajdeep Mukherjee, Subhendu Khatuya, Niloy Ganguly, Saptarshi Ghosh:
How COVID-19 Has Impacted the Anti-vaccine Discourse: A Large-Scale Twitter Study Spanning Pre-COVID and Post-COVID Era. ICWSM 2024: 1276-1288 - [c91]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 - [c90]Shounak Paul, Rajas Bhatt, Pawan Goyal, Saptarshi Ghosh:
Legal Statute Identification: A Case Study using State-of-the-Art Datasets and Methods. SIGIR 2024: 2231-2240 - [c89]Subhendu Khatuya, Koushiki Sinha, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal:
Instruction-Guided Bullet Point Summarization of Long Financial Earnings Call Transcripts. SIGIR 2024: 2477-2481 - [i51]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) - [i50]Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das:
Convolutional Prompting meets Language Models for Continual Learning. CoRR abs/2403.20317 (2024) - [i49]Soham Poddar, Rajdeep Mukherjee, Subhendu Khatuya, Niloy Ganguly, Saptarshi Ghosh:
How COVID-19 has Impacted the Anti-Vaccine Discourse: A Large-Scale Twitter Study Spanning Pre-COVID and Post-COVID Era. CoRR abs/2404.01669 (2024) - [i48]Subhendu Khatuya, Koushiki Sinha, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal:
Instruction-Guided Bullet Point Summarization of Long Financial Earnings Call Transcripts. CoRR abs/2405.06669 (2024) - [i47]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) - [i46]Aniket Deroy, Naksatra Kumar Bailung, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty:
Artificial Intelligence (AI) in Legal Data Mining. CoRR abs/2405.14707 (2024) - [i45]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) - [i44]Abhinav Joshi, Shounak Paul, Akshat Sharma, Pawan Goyal, Saptarshi Ghosh, Ashutosh Modi:
IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning. CoRR abs/2407.05399 (2024) - [i43]Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh:
Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization. CoRR abs/2407.12848 (2024) - [i42]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) - [i41]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) - [i40]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) - [i39]Soham Poddar, Biswajit Paul, Moumita Basu, Saptarshi Ghosh:
ICPR 2024 Competition on Multilingual Claim-Span Identification. CoRR abs/2411.19579 (2024) - 2023
- [j34]Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh, Saptarshi Ghosh, Adam Wyner:
DeepRhole: deep learning for rhetorical role labeling of sentences in legal case documents. Artif. Intell. Law 31(1): 53-90 (2023) - [j33]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) - [c88]Jack G. Conrad, Shirsha Ray Chaudhuri, Shounak Paul, Saptarshi Ghosh:
AI & Law: Formative Developments, State-of-the-Art Approaches, Challenges & Opportunities. COMAD/CODS 2023: 320-323 - [c87]Debasis Ganguly, Jack G. Conrad, Kripabandhu Ghosh, Saptarshi Ghosh, Pawan Goyal, Paheli Bhattacharya, Shubham Kumar Nigam, Shounak Paul:
Legal IR and NLP: The History, Challenges, and State-of-the-Art. ECIR (3) 2023: 331-340 - [c86]Debtanu Datta, Shubham Soni, Rajdeep Mukherjee, Saptarshi Ghosh:
MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments. EMNLP 2023: 5291-5302 - [c85]Soham Poddar, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh:
Overview of the FIRE 2023 Track: Artificial Intelligence on Social Media (AISoMe). FIRE (Working Notes) 2023: 1-5 - [c84]Soham Poddar, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh:
Overview of the FIRE 2023 Track: Artificial Intelligence on Social Media (AISoMe). FIRE 2023: 1-3 - [c83]Abhay Banerjee, Soumokanti Bera, Faizan Ahmed, Sourav Manna, Mayur Mallav Saikia, Moumita Basu, Saptarshi Ghosh:
Helping Hands - An AI based Real Time System for Effective Flood Relief Operations in Indian Cities. FIRE 2023: 83-87 - [c82]Aniket Deroy, Subhankar Maity, Saptarshi Ghosh:
Prompted Zero-Shot Multi-label Classification of Factual Incorrectness in Machine-Generated Summaries. FIRE (Working Notes) 2023: 734-746 - [c81]Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh:
How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization? LegalAIIA@ICAIL 2023: 8-19 - [c80]Shounak Paul, Arpan Mandal, Pawan Goyal, Saptarshi Ghosh:
Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law. ICAIL 2023: 187-196 - [c79]Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das:
Exemplar-Free Continual Transformer with Convolutions. ICCV 2023: 5874-5884 - [c78]Shubham Kumar Nigam, Aniket Deroy, Noel Shallum, Ayush Kumar Mishra, Anup Roy, Shubham Kumar Mishra, Arnab Bhattacharya, Saptarshi Ghosh, Kripabandhu Ghosh:
Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation. SemEval@ACL 2023: 1293-1303 - [c77]Garima Chhikara, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty:
Fairness for both Readers and Authors: Evaluating Summaries of User Generated Content. SIGIR 2023: 1996-2000 - [i38]Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh:
How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization? CoRR abs/2306.01248 (2023) - [i37]Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das:
Exemplar-Free Continual Transformer with Convolutions. CoRR abs/2308.11357 (2023) - [i36]Shubham Kumar Nigam, Aniket Deroy, Noel Shallum, Ayush Kumar Mishra, Anup Roy, Shubham Kumar Mishra, Arnab Bhattacharya, Saptarshi Ghosh, Kripabandhu Ghosh:
Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation. CoRR abs/2310.11049 (2023) - [i35]Debtanu Datta, Shubham Soni, Rajdeep Mukherjee, Saptarshi Ghosh:
MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments. CoRR abs/2310.18600 (2023) - [i34]Aniket Deroy, Subhankar Maity, Saptarshi Ghosh:
Prompted Zero-Shot Multi-label Classification of Factual Incorrectness in Machine-Generated Summaries. CoRR abs/2312.01087 (2023) - 2022
- [j32]Arpan Mandal, Kripabandhu Ghosh, Saptarshi Ghosh, Sekhar Mandal:
A sequence labeling model for catchphrase identification from legal case documents. Artif. Intell. Law 30(3): 325-358 (2022) - [j31]Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh:
Legal case document similarity: You need both network and text. Inf. Process. Manag. 59(6): 103069 (2022) - [j30]Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Arnab Bhattacharya, Partha Pratim Chakrabarti, Shouvik Kumar Guha, Arindam Pal, Koustav Rudra, Prasenjit Majumder, Dwaipayan Roy, Ayan Bandopadhyay, Procheta Sen, Paheli Bhattacharya, Aniket Deroy, Upal Bhattacharya, Subinay Adhikary, Subham Kumar Nigam:
Report on the 2nd Symposium on Artificial Intelligence and Law (SAIL) 2022. SIGIR Forum 56(1): 11:1-11:7 (2022) - [j29]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) - [j28]Somnath Pal, Saptarshi Ghosh, Himika Biswas, Mitesh Patwari:
Discretization Using Combination of Heuristics for High Accuracy With Huge Noise Reduction. IEEE Trans. Knowl. Data Eng. 34(4): 1710-1722 (2022) - [c76]Shounak Paul, Pawan Goyal, Saptarshi Ghosh:
LeSICiN: A Heterogeneous Graph-Based Approach for Automatic Legal Statute Identification from Indian Legal Documents. AAAI 2022: 11139-11146 - [c75]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 - [c74]Soham Poddar, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh:
Overview of the FIRE 2022 track: Information Retrieval from Microblogs during Disasters (IRMiDis). FIRE 2022: 12-14 - [c73]Soham Poddar, Moumita Basu, Saptarshi Ghosh, Kripabandhu Ghosh:
Overview of the FIRE 2022 track: Information Retrieval from Microblogs during Disasters (IRMiDis). FIRE (Working Notes) 2022: 309-313 - [c72]Amitrajit Bose, Sivangi Tandon, Moumita Basu, Saptarshi Ghosh:
Social Media for Post-Disaster Relief: Mapping Needs and Availabilities to UNOCHA Resource Classes. ICDCN 2022: 294-298 - [c71]Soham Poddar, Mainack Mondal, Janardan Misra, Niloy Ganguly, Saptarshi Ghosh:
Winds of Change: Impact of COVID-19 on Vaccine-Related Opinions of Twitter Users. ICWSM 2022: 782-793 - [c70]Abhay Shukla, Paheli Bhattacharya, Soham Poddar, Rajdeep Mukherjee, Kripabandhu Ghosh, Pawan Goyal, Saptarshi Ghosh:
Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation. AACL/IJCNLP (1) 2022: 1048-1064 - [c69]Soham Poddar, Azlaan Mustafa Samad, Rajdeep Mukherjee, Niloy Ganguly, Saptarshi Ghosh:
CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines. SIGIR 2022: 3154-3164 - [c68]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. WWW 2022: 3695-3705 - [i33]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. CoRR abs/2202.03934 (2022) - [i32]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms. CoRR abs/2204.00241 (2022) - [i31]Soham Poddar, Azlaan Mustafa Samad, Rajdeep Mukherjee, Niloy Ganguly, Saptarshi Ghosh:
CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines. CoRR abs/2204.13746 (2022) - [i30]Shounak Paul, Arpan Mandal, Pawan Goyal, Saptarshi Ghosh:
Pre-training Transformers on Indian Legal Text. CoRR abs/2209.06049 (2022) - [i29]Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh:
Legal Case Document Similarity: You Need Both Network and Text. CoRR abs/2209.12474 (2022) - [i28]Anurag Roy, David Johnson Ekka, Saptarshi Ghosh, Abir Das:
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets. CoRR abs/2210.07076 (2022) - [i27]Abhay Shukla, Paheli Bhattacharya, Soham Poddar, Rajdeep Mukherjee, Kripabandhu Ghosh, Pawan Goyal, Saptarshi Ghosh:
Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation. CoRR abs/2210.07544 (2022) - [i26]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. CoRR abs/2210.12467 (2022) - [i25]Parantapa Bhattacharya, Saptarshi Ghosh, Niloy Ganguly:
Analyzing Regrettable Communications on Twitter: Characterizing Deleted Tweets and Their Authors. CoRR abs/2212.12594 (2022) - [i24]Parantapa Bhattacharya, Saptarshi Ghosh, Muhammad Bilal Zafar, Soumya K. Ghosh, Niloy Ganguly:
What You Like: Generating Explainable Topical Recommendations for Twitter Using Social Annotations. CoRR abs/2212.13897 (2022) - 2021
- [j27]Arpan Mandal, Kripabandhu Ghosh, Saptarshi Ghosh, Sekhar Mandal:
Unsupervised approaches for measuring textual similarity between legal court case reports. Artif. Intell. Law 29(3): 417-451 (2021) - [j26]Anurag Roy, Shalmoli Ghosh, Kripabandhu Ghosh, Saptarshi Ghosh:
An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection. ACM J. Data Inf. Qual. 13(3): 17:1-17:25 (2021) - [c67]Moumita Basu, Sipra Das Bit, Saptarshi Ghosh:
Utilising Social Media for Post-Disaster Resource Allocation. COMAD/CODS 2021: 440 - [c66]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. FAccT 2021: 873-884 - [c65]Vedant Parikh, Upal Bhattacharya, Parth Mehta, Ayan Bandyopadhyay, Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder:
AILA 2021: Shared task on Artificial Intelligence for Legal Assistance. FIRE 2021: 12-15 - [c64]Moumita Basu, Soham Poddar, Saptarshi Ghosh, Kripabandhu Ghosh:
Overview of the FIRE 2021 track: Information Retrieval from Microblogs during Disasters (IRMiDis). FIRE 2021: 22-24 - [c63]Vedant Parikh, Upal Bhattacharya, Parth Mehta, Ayan Bandyopadhyay, Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder:
Overview of the Third Shared Task on Artificial Intelligence for Legal Assistance at FIRE 2021. FIRE (Working Notes) 2021: 517-526 - [c62]Paheli Bhattacharya, Soham Poddar, Koustav Rudra, Kripabandhu Ghosh, Saptarshi Ghosh:
Incorporating domain knowledge for extractive summarization of legal case documents. ICAIL 2021: 22-31 - [c61]Arpan Mandal, Paheli Bhattacharya, Sekhar Mandal, Saptarshi Ghosh:
Improving Legal Case Summarization Using Document-Specific Catchphrases. JURIX 2021: 76-81 - [c60]Aniket Deroy, Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh:
An Analytical Study of Algorithmic and Expert Summaries of Legal Cases. JURIX 2021: 90-99 - [i23]Anurag Roy, Shalmoli Ghosh, Kripabandhu Ghosh, Saptarshi Ghosh:
An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection. CoRR abs/2101.03303 (2021) - [i22]Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh:
Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization. CoRR abs/2101.12406 (2021) - [i21]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. CoRR abs/2102.00141 (2021) - [i20]Paheli Bhattacharya, Soham Poddar, Koustav Rudra, Kripabandhu Ghosh, Saptarshi Ghosh:
Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents. CoRR abs/2106.15876 (2021) - [i19]Soham Poddar, Mainack Mondal, Janardan Misra, Niloy Ganguly, Saptarshi Ghosh:
Winds of Change: Impact of COVID-19 on Vaccine-related Opinions of Twitter users. CoRR abs/2111.10667 (2021) - [i18]Shounak Paul, Pawan Goyal, Saptarshi Ghosh:
LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification from Indian Legal Documents. CoRR abs/2112.14731 (2021) - 2020
- [j25]Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh:
Information Retrieval from Microblogs During Disasters: In the Light of IRMiDis Task. SN Comput. Sci. 1(1): 61 (2020) - [c59]Kaustubh Hiware, Ritam Dutt, Sayan Sinha, Sohan Patro, Kripabandhu Ghosh, Saptarshi Ghosh:
NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities. SocialNLP@ACL 2020: 15-24 - [c58]Shalmoli Ghosh, Janardan Misra, Saptarshi Ghosh, Sanjay Podder:
Utilizing Social Media for Identifying Drug Addiction and Recovery Intervention. IEEE BigData 2020: 3413-3422 - [c57]Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh:
Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization. IEEE BigData 2020: 3692-3701 - [c56]Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh:
ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions. CIKM 2020: 1315-1324 - [c55]Shounak Paul, Pawan Goyal, Saptarshi Ghosh:
Automatic Charge Identification from Facts: A Few Sentence-Level Charge Annotations is All You Need. COLING 2020: 1011-1022 - [c54]Paheli Bhattacharya, Parth Mehta, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder:
Overview of the FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance. FIRE (Working Notes) 2020: 1-11 - [c53]Paheli Bhattacharya, Parth Mehta, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder:
FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance. FIRE 2020: 1-3 - [c52]Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh:
Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity. SIGIR 2020: 1657-1660 - [i17]Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh:
Methods for Computing Legal Document Similarity: A Comparative Study. CoRR abs/2004.12307 (2020) - [i16]Kaustubh Hiware, Ritam Dutt, Sayan Sinha, Sohan Patro, Kripabandhu Ghosh, Saptarshi Ghosh:
NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities. CoRR abs/2005.13524 (2020) - [i15]Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh:
Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity. CoRR abs/2007.03225 (2020) - [i14]Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, Saptarshi Ghosh:
Stance Detection in Web and Social Media: A Comparative Study. CoRR abs/2007.05976 (2020) - [i13]Ritam Dutt, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh:
Utilizing Microblogs for Assisting Post-Disaster Relief Operations via Matching Resource Needs and Availabilities. CoRR abs/2007.09368 (2020) - [i12]Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh:
ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions. CoRR abs/2007.12212 (2020) - [i11]Soham Poddar, Mainack Mondal, Saptarshi Ghosh:
A Survey on Disaster: Understanding the After-effects of Super-cyclone Amphan and Helping Hand of Social Media. CoRR abs/2007.14910 (2020)
2010 – 2019
- 2019
- [j24]Soumi Dutta, Nilan Saha, Asit Kumar Das, Saptarshi Ghosh:
Clustering Model for Microblogging Sites using Dimension Reduction Techniques. Int. J. Inf. Syst. Model. Des. 10(2): 26-45 (2019) - [j23]Ritam Dutt, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh:
Utilizing microblogs for assisting post-disaster relief operations via matching resource needs and availabilities. Inf. Process. Manag. 56(5): 1680-1697 (2019) - [j22]Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, Karrie Karahalios:
Search bias quantification: investigating political bias in social media and web search. Inf. Retr. J. 22(1-2): 188-227 (2019) - [j21]Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi:
Optimizing the recency-relevance-diversity trade-offs in non-personalized news recommendations. Inf. Retr. J. 22(5): 447-475 (2019) - [j20]Tanmoy Chakraborty, Saptarshi Ghosh, Noseong Park:
Ensemble-based overlapping community detection using disjoint community structures. Knowl. Based Syst. 163: 241-251 (2019) - [j19]Abhisek Dash, Anurag Shandilya, Arindam Biswas, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty:
Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries. Proc. ACM Hum. Comput. Interact. 3(CSCW): 172:1-172:28 (2019) - [j18]Moumita Basu, Anurag Shandilya, Prannay Khosla, Kripabandhu Ghosh, Saptarshi Ghosh:
Extracting Resource Needs and Availabilities From Microblogs for Aiding Post-Disaster Relief Operations. IEEE Trans. Comput. Soc. Syst. 6(3): 604-618 (2019) - [j17]Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi:
Editorial Versus Audience Gatekeeping: Analyzing News Selection and Consumption Dynamics in Online News Media. IEEE Trans. Comput. Soc. Syst. 6(4): 680-691 (2019) - [c51]Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, Saptarshi Ghosh:
Stance Detection in Web and Social Media: A Comparative Study. CLEF 2019: 75-87 - [c50]Shalmoli Ghosh, Koustav Rudra, Saptarshi Ghosh, Niloy Ganguly, Sanjay Podder, Naveen Balani, Neville Dubash:
Identifying Multi-dimensional Information from Microblogs During Epidemics. COMAD/CODS 2019: 224-230 - [c49]Paheli Bhattacharya, Kaustubh Hiware, Subham Rajgaria, Nilay Pochhi, Kripabandhu Ghosh, Saptarshi Ghosh:
A Comparative Study of Summarization Algorithms Applied to Legal Case Judgments. ECIR (1) 2019: 413-428 - [c48]Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Parth Mehta, Arnab Bhattacharya, Prasenjit Majumder:
Overview of the FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance. FIRE (Working Notes) 2019: 1-12 - [c47]Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Parth Mehta, Arnab Bhattacharya, Prasenjit Majumder:
FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance. FIRE 2019: 4-6 - [c46]Divyank Barnwal, Siddharth Ghelani, Rohit Krishna, Moumita Basu, Saptarshi Ghosh:
Identifying fact-checkable microblogs during disasters: a classification-ranking approach. ICDCN 2019: 389-392 - [c45]Abhisek Dash, Animesh Mukherjee, Saptarshi Ghosh:
A Network-centric Framework for Auditing Recommendation Systems. INFOCOM 2019: 1990-1998 - [c44]Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh, Saptarshi Ghosh, Adam Wyner:
Identification of Rhetorical Roles of Sentences in Indian Legal Judgments. JURIX 2019: 3-12 - [i10]Abhisek Dash, Animesh Mukherjee, Saptarshi Ghosh:
A Network-centric Framework for Auditing Recommendation Systems. CoRR abs/1902.02710 (2019) - [i9]Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh, Saptarshi Ghosh, Adam Wyner:
Identification of Rhetorical Roles of Sentences in Indian Legal Judgments. CoRR abs/1911.05405 (2019) - 2018
- [j16]Soumi Dutta, Vibhash Chandra, Kanav Mehra, Asit Kumar Das, Tanmoy Chakraborty, Saptarshi Ghosh:
Ensemble Algorithms for Microblog Summarization. IEEE Intell. Syst. 33(3): 4-14 (2018) - [j15]Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Gareth J. F. Jones, Marie-Francine Moens, Muhammad Imran:
Exploitation of Social Media for Emergency Relief and Preparedness: Recent Research and Trends. Inf. Syst. Frontiers 20(5): 901-907 (2018) - [j14]Tamal Mondal, Prithviraj Pramanik, Indrajit Bhattacharya, Naiwrita Boral, Saptarshi Ghosh:
Analysis and Early Detection of Rumors in a Post Disaster Scenario. Inf. Syst. Frontiers 20(5): 961-979 (2018) - [j13]Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Gareth J. F. Jones, Marie-Francine Moens:
Report on the Second Workshop on Exploitation of Social Media for Emergency Relief and Preparedness (SMERP 2018) at the Web Conference (WWW) 2018. SIGIR Forum 52(2): 163-168 (2018) - [j12]Soumi Dutta, Sujata Ghatak, Ratnadeep Dey, Asit Kumar Das, Saptarshi Ghosh:
Attribute selection for improving spam classification in online social networks: a rough set theory-based approach. Soc. Netw. Anal. Min. 8(1): 7 (2018) - [j11]Koustav Rudra, Ashish Sharma, Niloy Ganguly, Saptarshi Ghosh:
Characterizing and Countering Communal Microblogs During Disaster Events. IEEE Trans. Comput. Soc. Syst. 5(2): 403-417 (2018) - [j10]Koustav Rudra, Niloy Ganguly, Pawan Goyal, Saptarshi Ghosh:
Extracting and Summarizing Situational Information from the Twitter Social Media during Disasters. ACM Trans. Web 12(3): 17:1-17:35 (2018) - [c43]Arindam Pal, Arnab Bhattacharya, Indrajit Bhattacharya, Kripabandhu Ghosh, Lipika Dey, Marie-Francine Moens, Saptarshi Ghosh:
International Workshop on Legal Data Analytics and Mining (LeDAM 2018): Preface to the Proceedings. CIKM Workshops 2018 - [c42]Moumita Basu, Saptarshi Ghosh, Kripabandhu Ghosh:
Overview of the FIRE 2018 Track: Information Retrieval from Microblogs during Disasters (IRMiDis). FIRE (Working Notes) 2018: 1-10 - [c41]Moumita Basu, Saptarshi Ghosh, Kripabandhu Ghosh:
Overview of the FIRE 2018 track: Information Retrieval from Microblogs during Disasters (IRMiDis). FIRE 2018: 1-5 - [c40]Moumita Basu, Anurag Shandilya, Kripabandhu Ghosh, Saptarshi Ghosh:
Automatic Matching of Resource Needs and Availabilities in Microblogs for Post-Disaster Relief. WWW (Companion Volume) 2018: 25-26 - [c39]Anurag Roy, Kripabandhu Ghosh, Moumita Basu, Parth Gupta, Saptarshi Ghosh:
Retrieving Information from Multiple Sources. WWW (Companion Volume) 2018: 43-44 - [c38]Anurag Shandilya, Kripabandhu Ghosh, Saptarshi Ghosh:
Fairness of Extractive Text Summarization. WWW (Companion Volume) 2018: 97-98 - [c37]Marie-Francine Moens, Gareth J. F. Jones, Saptarshi Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Kripabandhu Ghosh:
WWW'18 Workshop on Exploitation of Social Media for Emergency Relief and Preparedness: Chairs' Welcome & Organization. WWW (Companion Volume) 2018: 1609-1611 - [i8]Tanmoy Chakraborty, Saptarshi Ghosh, Noseong Park:
Ensemble-based Overlapping Community Detection using Disjoint Community Structures. CoRR abs/1808.06200 (2018) - [i7]Abhisek Dash, Anurag Shandilya, Arindam Biswas, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh:
Beyond ROUGE Scores in Algorithmic Summarization: Creating Fairness-Preserving Textual Summaries. CoRR abs/1810.09147 (2018) - 2017
- [j9]Mainack Mondal, Johnnatan Messias, Saptarshi Ghosh, Krishna P. Gummadi, Aniket Kate:
Longitudinal Privacy Management in Social Media: The Need for Better Controls. IEEE Internet Comput. 21(3): 48-55 (2017) - [j8]Ratnadeep Dey, Anurag Roy, Tanmoy Chakraborty, Saptarshi Ghosh:
Sleeping beauties in Computer Science: characterization and early identification. Scientometrics 113(3): 1645-1663 (2017) - [j7]Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Gareth J. F. Jones, Marie-Francine Moens:
ECIR 2017 Workshop on Exploitation of Social Media for Emergency Relief and Preparedness (SMERP 2017). SIGIR Forum 51(1): 36-41 (2017) - [c36]Moumita Basu, Kripabandhu Ghosh, Somenath Das, Ratnadeep Dey, Somprakash Bandyopadhyay, Saptarshi Ghosh:
Identifying Post-Disaster Resource Needs and Availabilities from Microblogs. ASONAM 2017: 427-430 - [c35]Arpan Mandal, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh:
Automatic Catchphrase Identification from Legal Court Case Documents. CIKM 2017: 2187-2190 - [c34]Anurag Roy, Trishnendu Ghorai, Kripabandhu Ghosh, Saptarshi Ghosh:
Combining Local and Global Word Embeddings for Microblog Stemming. CIKM 2017: 2267-2270 - [c33]Arpan Mandal, Raktim Chaki, Sarbajit Saha, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh:
Measuring Similarity among Legal Court Case Documents. COMPUTE 2017: 1-9 - [c32]Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, Karrie Karahalios:
Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media. CSCW 2017: 417-432 - [c31]Moumita Basu, Anurag Roy, Kripabandhu Ghosh, Somprakash Bandyopadhyay, Saptarshi Ghosh:
Microblog Retrieval in a Disaster Situation: A New Test Collection for Evaluation. SMERP@ECIR 2017: 22-31 - [c30]Moumita Basu, Anurag Roy, Kripabandhu Ghosh, Somprakash Bandyopadhyay, Saptarshi Ghosh:
A Novel Word Embedding Based Stemming Approach for Microblog Retrieval During Disasters. ECIR 2017: 589-597 - [c29]Moumita Basu, Saptarshi Ghosh, Kripabandhu Ghosh, Monojit Choudhury:
Overview of the FIRE 2017 track: Information Retrieval from Microblogs during Disasters (IRMiDis). FIRE (Working Notes) 2017: 28-33 - [c28]Arpan Mandal, Kripabandhu Ghosh, Arnab Bhattacharya, Arindam Pal, Saptarshi Ghosh:
Overview of the FIRE 2017 IRLeD Track: Information Retrieval from Legal Documents. FIRE (Working Notes) 2017: 63-68 - [c27]Abhijnan Chakraborty, Johnnatan Messias, Fabrício Benevenuto, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi:
Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations. ICWSM 2017: 22-31 - [c26]Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi:
Optimizing the Recency-Relevancy Trade-off in Online News Recommendations. WWW 2017: 837-846 - [e1]Saptarshi Ghosh, Kripabandhu Ghosh, Tanmoy Chakraborty, Debasis Ganguly, Gareth J. F. Jones, Marie-Francine Moens:
Proceedings of the First International Workshop on Exploitation of Social Media for Emergency Relief and Preparedness co-located with European Conference on Information Retrieval, SMERP@ECIR 2017, Aberdeen, UK, April 9, 2017. CEUR Workshop Proceedings 1832, CEUR-WS.org 2017 [contents] - [i6]Abhijnan Chakraborty, Johnnatan Messias, Fabrício Benevenuto, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi:
Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations. CoRR abs/1704.00139 (2017) - [i5]Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, Karrie Karahalios:
Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media. CoRR abs/1704.01347 (2017) - [i4]Juhi Kulshrestha, Muhammad Bilal Zafar, Lisette Espin Noboa, Krishna P. Gummadi, Saptarshi Ghosh:
Characterizing Information Diets of Social Media Users. CoRR abs/1704.01442 (2017) - [i3]Prannay Khosla, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh:
Microblog Retrieval for Post-Disaster Relief: Applying and Comparing Neural IR Models. CoRR abs/1707.06112 (2017) - [i2]Abhijnan Chakraborty, Muhammad Ali, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi:
On Quantifying Knowledge Segregation in Society. CoRR abs/1708.00670 (2017) - 2016
- [j6]Carlos Alessandro Sena de Freitas, Fabrício Benevenuto, Adriano Veloso, Saptarshi Ghosh:
An empirical study of socialbot infiltration strategies in the Twitter social network. Soc. Netw. Anal. Min. 6(1): 23:1-23:16 (2016) - [c25]Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi:
On the Wisdom of Experts vs. Crowds: Discovering Trustworthy Topical News in Microblogs. CSCW 2016: 437-450 - [c24]Moumita Basu, Kripabandhu Ghosh, Somenath Das, Somprakash Bandyopadhyay, Saptarshi Ghosh:
Microblog Retrieval During Disasters: Comparative Evaluation of IR Methodologies. FIRE Workshop 2016: 20-38 - [c23]Saptarshi Ghosh, Kripabandhu Ghosh:
Overview of the FIRE 2016 Microblog track: Information Extraction from Microblogs Posted during Disasters. FIRE (Working Notes) 2016: 56-61 - [c22]Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi:
Dissemination Biases of Social Media Channels: On the Topical Coverage of Socially Shared News. ICWSM 2016: 559-562 - [c21]Mainack Mondal, Johnnatan Messias, Saptarshi Ghosh, Krishna P. Gummadi, Aniket Kate:
Forgetting in Social Media: Understanding and Controlling Longitudinal Exposure of Socially Shared Data. SOUPS 2016: 287-299 - 2015
- [j5]Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Krishna P. Gummadi, Saptarshi Ghosh:
Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream. ACM Trans. Web 9(3): 12:1-12:33 (2015) - [c20]Carlos A. Freitas, Fabrício Benevenuto, Saptarshi Ghosh, Adriano Veloso:
Reverse Engineering Socialbot Infiltration Strategies in Twitter. ASONAM 2015: 25-32 - [c19]Koustav Rudra, Subham Ghosh, Niloy Ganguly, Pawan Goyal, Saptarshi Ghosh:
Extracting Situational Information from Microblogs during Disaster Events: a Classification-Summarization Approach. CIKM 2015: 583-592 - [c18]Anirban Sen, Koustav Rudra, Saptarshi Ghosh:
Extracting situational awareness from microblogs during disaster events. COMSNETS 2015: 1-6 - [c17]Juhi Kulshrestha, Muhammad Bilal Zafar, Lisette Espin Noboa, Krishna P. Gummadi, Saptarshi Ghosh:
Characterizing Information Diets of Social Media Users. ICWSM 2015: 218-227 - [c16]Koustav Rudra, Abhijnan Chakraborty, Manav Sethi, Shreyasi Das, Niloy Ganguly, Saptarshi Ghosh:
#FewThingsAboutIdioms: Understanding Idioms and Its Users in the Twitter Online Social Network. PAKDD (1) 2015: 108-121 - 2014
- [c15]Parantapa Bhattacharya, Saptarshi Ghosh, Juhi Kulshrestha, Mainack Mondal, Muhammad Bilal Zafar, Niloy Ganguly, Krishna P. Gummadi:
Deep Twitter diving: exploring topical groups in microblogs at scale. CSCW 2014: 197-210 - [c14]Parantapa Bhattacharya, Muhammad Bilal Zafar, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi:
Inferring user interests in the Twitter social network. RecSys 2014: 357-360 - [c13]Soumi Dutta, Moumita Roy, Asit Kumar Das, Saptarshi Ghosh:
Sentiment Detection in Online Content: A WordNet Based Approach. SEMCCO 2014: 409-420 - [c12]Anubrata Das, Moumita Roy, Soumi Dutta, Saptarshi Ghosh, Asit Kumar Das:
Predicting Trends in the Twitter Social Network: A Machine Learning Approach. SEMCCO 2014: 570-581 - [i1]Carlos A. Freitas, Fabrício Benevenuto, Saptarshi Ghosh, Adriano Veloso:
Reverse Engineering Socialbot Infiltration Strategies in Twitter. CoRR abs/1405.4927 (2014) - 2013
- [j4]Saptarshi Ghosh, Sudipta Saha, Ajitesh Srivastava, Tyll Krueger, Niloy Ganguly, Animesh Mukherjee:
Understanding Evolution of Inter-Group Relationships Using Bipartite Networks. IEEE J. Sel. Areas Commun. 31(9-Supplement): 584-594 (2013) - [c11]Saptarshi Ghosh, Muhammad Bilal Zafar, Parantapa Bhattacharya, Naveen Kumar Sharma, Niloy Ganguly, P. Krishna Gummadi:
On sampling the wisdom of crowds: random vs. expert sampling of the twitter stream. CIKM 2013: 1739-1744 - [c10]Saptarshi Ghosh, Sanket Agarwal, Himanshu Srivastava, Animesh Mukherjee:
Run-time delays in Indian Railways: is traffic the cause? ACM DEV (3) 2013: 20:1-20:2 - 2012
- [j3]Naveen Kumar Sharma, Saptarshi Ghosh, Fabrício Benevenuto, Niloy Ganguly, P. Krishna Gummadi:
Inferring who-is-who in the Twitter social network. Comput. Commun. Rev. 42(4): 533-538 (2012) - [j2]Saptarshi Ghosh, Ajitesh Srivastava, Niloy Ganguly:
Effects of a soft cut-off on node-degree in the Twitter social network. Comput. Commun. 35(7): 784-795 (2012) - [j1]Niloy Ganguly, Saptarshi Ghosh, Tyll Krueger, Ajitesh Srivastava:
Degree distributions of evolving alphabetic bipartite networks and their projections. Theor. Comput. Sci. 466: 20-36 (2012) - [c9]Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly:
Detecting overlapping communities in folksonomies. HT 2012: 213-218 - [c8]Saptarshi Ghosh, Naveen Kumar Sharma, Fabrício Benevenuto, Niloy Ganguly, P. Krishna Gummadi:
Cognos: crowdsourcing search for topic experts in microblogs. SIGIR 2012: 575-590 - [c7]Naveen Kumar Sharma, Saptarshi Ghosh, Fabrício Benevenuto, Niloy Ganguly, Krishna P. Gummadi:
Inferring who-is-who in the Twitter social network. WOSN 2012: 55-60 - [c6]Saptarshi Ghosh, Bimal Viswanath, Farshad Kooti, Naveen Kumar Sharma, Gautam Korlam, Fabrício Benevenuto, Niloy Ganguly, P. Krishna Gummadi:
Understanding and combating link farming in the twitter social network. WWW 2012: 61-70 - 2011
- [c5]Saptarshi Ghosh, Ajitesh Srivastava, Niloy Ganguly:
Assessing the Effects of a Soft Cut-Off in the Twitter Social Network. Networking (2) 2011: 288-300 - [c4]Saptarshi Ghosh, Pushkar Kane, Niloy Ganguly:
Identifying overlapping communities in folksonomies or tripartite hypergraphs. WWW (Companion Volume) 2011: 39-40 - [c3]Saptarshi Ghosh, Gautam Korlam, Niloy Ganguly:
Spammers' networks within online social networks: a case-study on Twitter. WWW (Companion Volume) 2011: 41-42 - 2010
- [c2]Saptarshi Ghosh, Gautam Korlam, Niloy Ganguly:
The Effects of Restrictions on Number of Connections in OSNs: A Case-Study on Twitter. WOSN 2010
2000 – 2009
- 2008
- [c1]Saptarshi Ghosh, Pabitra Mitra:
Combining content and structure similarity for XML document classification using composite SVM kernels. ICPR 2008: 1-4
Coauthor Index
[i52] [j38] [i46] [i43] [j34] [c87] [c85] [c84] [c81] [c79] [c78] [c77] [i38] [i37] [i36] [j32] [j31] [j30] [c74] [c73] [c70] [i29] [i27] [j27] [j26] [c65] [c64] [c63] [c62] [c60] [i23] [i22] [i20] [j25] [c59] [c57] [c56] [c54] [c53] [c52] [i17] [i16] [i15] [i13] [i12] [j23] [j19] [j18] [c49] [c48] [c47] [c44] [i9] [j15] [j13] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [i7] [j7] [c36] [c35] [c34] [c33] [c31] [c30] [c29] [c28] [e1] [i3] [c24] [c23]
Krishna P. Gummadi
aka: P. Krishna Gummadi
aka: P. Krishna Gummadi
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