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2020 – today
- 2024
[i8]Zhuolun Li, Srijoni Majumdar, Evangelos Pournaras:
Blockchain-based Decentralized Time Lock Machines: Automated Reveal of Time-sensitive Information. CoRR abs/2401.05947 (2024)- [i7]Sajan Maharjan, Srijoni Majumdar, Evangelos Pournaras:
Fair Voting Outcomes with Impact and Novelty Compromises? Unraveling Biases of Equal Shares in Participatory Budgeting. CoRR abs/2405.05085 (2024) - [i6]Srijoni Majumdar, Edith Elkind, Evangelos Pournaras:
Generative AI Voting: Fair Collective Choice is Resilient to LLM Biases and Inconsistencies. CoRR abs/2406.11871 (2024) - 2023
- [j4]Nachiketa Chatterjee
, Srijoni Majumdar, Partha Pratim Das, Amlan Chakrabarti:
ParallelC-Assist: Productivity Accelerator Suite Based on Dynamic Instrumentation. IEEE Access 11: 73599-73612 (2023) - [j3]Prantika Chakraborty, Sudakshina Dutta, Debarshi Kumar Sanyal, Srijoni Majumdar, Partha Pratim Das:
Bringing Order to Chaos: Conceptualizing a Personal Research Knowledge Graph for Scientists. IEEE Data Eng. Bull. 46(4): 43-56 (2023) - [c12]Srijoni Majumdar, Chuhao Qin, Evangelos Pournaras:
Discrete-Choice Multi-agent Optimization: Decentralized Hard Constraint Satisfaction for Smart Cities. AAMAS Workshops 2023: 60-76 - [c11]Thomas Samuel Wellings, Srijoni Majumdar, Regula Hänggli Fricker, Evangelos Pournaras:
Improving City Life via Legitimate and Participatory Policy-making: A Data-driven Approach in Switzerland. DG.O 2023: 23-35 - [c10]Soumen Paul, Srijoni Majumdar, Ayan Bandyopadhyay, Bhargav Dave, Samiran Chattopadhyay, Partha Pratim Das, Paul D. Clough, Prasenjit Majumder:
Efficiency of Large Language Models to scale up Ground Truth: Overview of the IRSE Track at Forum for Information Retrieval 2023. FIRE 2023: 16-18 - [c9]Srijoni Majumdar, Soumen Paul, Bhargav Dave, Debjyoti Paul, Ayan Bandyopadhyay, Samiran Chattopadhyay, Partha Pratim Das, Paul D. Clough, Prasenjit Majumder:
Generative AI for Software Metadata: Overview of the Information Retrieval in Software Engineering Track at FIRE 2023. FIRE (Working Notes) 2023: 598-604 - [c8]Srijoni Majumdar, Evangelos Pournaras:
Consensus-Based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning. LOD (1) 2023: 1-14 - [e1]Debasis Ganguly, Srijoni Majumdar, Bhaskar Mitra, Parth Gupta, Surupendu Gangopadhyay, Prasenjit Majumder:
Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, FIRE 2023, Panjim, India, December 15-18, 2023. ACM 2023 [contents] - [i5]Srijoni Majumdar, Chuhao Qin, Evangelos Pournaras:
Discrete-choice Multi-agent Optimization: Decentralized Hard Constraint Satisfaction for Smart Cities. CoRR abs/2305.16993 (2023) - [i4]Thomas Wellings, Srijoni Majumdar, Regula Hänggli Fricker, Evangelos Pournaras:
Improving City Life via Legitimate and Participatory Policy-making: A Data-driven Approach in Switzerland. CoRR abs/2306.13696 (2023) - [i3]Srijoni Majumdar, Evangelos Pournaras:
Consensus-based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning. CoRR abs/2307.12915 (2023) - [i2]Srijoni Majumdar, Partha Pratim Das:
Smart Knowledge Transfer using Google-like Search. CoRR abs/2308.06653 (2023) - [i1]Srijoni Majumdar, Soumen Paul, Debjyoti Paul, Ayan Bandyopadhyay, Samiran Chattopadhyay, Partha Pratim Das, Paul D. Clough, Prasenjit Majumder:
Generative AI for Software Metadata: Overview of the Information Retrieval in Software Engineering Track at FIRE 2023. CoRR abs/2311.03374 (2023) - 2022
- [j2]Srijoni Majumdar, Ayush Bansal, Partha Pratim Das, Paul D. Clough, Kausik Datta, Soumya Kanti Ghosh:
Automated evaluation of comments to aid software maintenance. J. Softw. Evol. Process. 34(7) (2022) - [c7]Srijoni Majumdar, Ayan Bandyopadhyay, Samiran Chattopadhyay, Partha Pratim Das, Paul D. Clough, Prasenjit Majumder:
Overview of the IRSE track at FIRE 2022: Information Retrieval in Software Engineering. FIRE (Working Notes) 2022: 1-9 - [c6]Srijoni Majumdar, Ayan Bandyopadhyay, Partha Pratim Das, Paul D. Clough, Samiran Chattopadhyay, Prasenjit Majumder:
Can we predict useful comments in source codes? - Analysis of findings from Information Retrieval in Software Engineering Track @ FIRE 2022. FIRE 2022: 15-17 - [c5]Soumen Paul, Rounak Saha, Swarup Padhi, Srijoni Majumdar, Partha Pratim Das, K. Sreenivasa Rao:
NrityaManch: An Annotation and Retrieval System for Bharatanatyam Dance. FIRE 2022: 65-73 - [c4]Srijoni Majumdar, Ashutosh Varshney, Partha Pratim Das, Paul D. Clough, Samiran Chattopadhyay:
An Effective Low-Dimensional Software Code Representation using BERT and ELMo. QRS 2022: 763-774 - 2021
- [j1]Srijoni Majumdar, Nachiketa Chatterjee, Partha Pratim Das, Amlan Chakrabarti:
A mathematical framework for design discovery from multi-threaded applications using neural sequence solvers. Innov. Syst. Softw. Eng. 17(3): 289-307 (2021) - 2020
- [c3]Srijoni Majumdar, Shakti Papdeja, Partha Pratim Das, Soumya K. Ghosh:
Comment-Mine - A Semantic Search Approach to Program Comprehension from Code Comments. ACSS (2) 2020: 29-42
2010 – 2019
- 2019
- [c2]Srijoni Majumdar, Shakti Papdeja, Partha Pratim Das, Soumya Kanti Ghosh:
SMARTKT: A Search Framework to Assist Program Comprehension using Smart Knowledge Transfer. QRS 2019: 97-108 - 2016
- [c1]Srijoni Majumdar, Nachiketa Chatterjee, Shila Rani Sahoo, Partha Pratim Das:
D-Cube: Tool for Dynamic Design Discovery from Multi-threaded Applications Using PIN. QRS 2016: 25-32
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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