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ORCIDNilanjan Sinhababu
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2020 – today
- 2025
[c6]Swapnil Yasasvi, Nilanjan Sinhababu, Suman Kumar Chakraborty, Shuvo Bardhan:
Vendor PulseGen: Generative Vendor Risk Management Platform. COMPSAC 2025: 1498-1501- [c5]Nilanjan Sinhababu
, Pabitra Mitra, Debasis Ganguly:
Soft Prompt Improves Direct Search Responses. FIRE 2025: 79-87 - [i4]Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly, Pabitra Mitra:
Modeling Ranking Properties with In-Context Learning. CoRR abs/2505.17736 (2025) - 2024
- [j6]Pradeep Kumar Singh, Pijush Kanti Dutta Pramanik, Nilanjan Sinhababu, Prasenjit Choudhury:
Detecting Unknown Shilling Attacks in Recommendation Systems. Wirel. Pers. Commun. 137(1): 259-286 (2024) - [c4]Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly, Debasis Samanta, Pabitra Mitra:
Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model. EMNLP (Findings) 2024: 12363-12377 - [c3]Nilanjan Sinhababu:
In-Context Learning in LLMs to Improve Retrieval Models. FIRE 2024: 85-87 - [c2]Nilanjan Sinhababu, Rabina Khatun:
LEq: Large Language Models Generate Expanded Queries for Searching. ICCCNT 2024: 1-4 - [i3]Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly, Debasis Samanta, Pabitra Mitra:
Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model. CoRR abs/2409.17745 (2024) - 2023
- [j5]Subrata Joardar, Nilanjan Sinhababu, Soumyodeep Dey, Prasenjit Choudhury:
Mitigating DoS Attack in MANETs Considering Node Reputation with AI. J. Netw. Syst. Manag. 31(3): 50 (2023) - [c1]Rabina Khatun, Nilanjan Sinhababu:
Improved Sequence Predictions using Knowledge Graph Embedding for Large Language Models. AIMLSystems 2023: 16:1-16:5 - 2021
- [j4]Pijush Kanti Dutta Pramanik, Nilanjan Sinhababu, Kyung-Sup Kwak, Prasenjit Choudhury:
Deep Learning Based Resource Availability Prediction for Local Mobile Crowd Computing. IEEE Access 9: 116647-116671 (2021) - [j3]Arpita Chaudhuri, Nilanjan Sinhababu, Monalisa Sarma, Debasis Samanta:
Hidden features identification for designing an efficient research article recommendation system. Int. J. Digit. Libr. 22(2): 233-249 (2021) - [i2]Nilanjan Sinhababu, Monalisa Sarma, Debasis Samanta:
Computational Intelligence Approach to Improve the Classification Accuracy of Brain Neoplasm in MRI Data. CoRR abs/2101.09658 (2021) - [i1]Nilanjan Sinhababu, Rahul Saxena, Monalisa Sarma, Debasis Samanta:
Medical Information Retrieval and Interpretation: A Question-Answer based Interaction Model. CoRR abs/2101.09662 (2021) - 2020
- [j2]Bidhan Sarkar, Nilanjan Sinhababu, Manob Roy, Pijush Kanti Dutta Pramanik, Prasenjit Choudhury:
Mining multilingual and multiscript Twitter data: unleashing the language and script barrier. Int. J. Bus. Intell. Data Min. 16(1): 107-127 (2020)
2010 – 2019
- 2019
- [j1]Pijush Kanti Dutta Pramanik, Nilanjan Sinhababu, Bulbul Mukherjee, Sanjeevikumar Padmanaban, Aranyak Maity, Bijoy Kumar Upadhyaya, Jens Bo Holm-Nielsen, Prasenjit Choudhury:
Power Consumption Analysis, Measurement, Management, and Issues: A State-of-the-Art Review of Smartphone Battery and Energy Usage. IEEE Access 7: 182113-182172 (2019)
Coauthor Index
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