Nilanjan Sinhababu

According to our database, Nilanjan Sinhababu authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Modeling Ranking Properties with In-Context Learning.

Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly, Pabitra Mitra

CoRR, May, 2025

Vendor PulseGen: Generative Vendor Risk Management Platform.

Swapnil Yasasvi, Nilanjan Sinhababu, Suman Kumar Chakraborty, Shuvo Bardhan

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

2024

Detecting Unknown Shilling Attacks in Recommendation Systems.

Pradeep Kumar Singh, Pijush Kanti Dutta Pramanik, Nilanjan Sinhababu, Prasenjit Choudhury

Wirel. Pers. Commun., July, 2024

LEq: Large Language Models Generate Expanded Queries for Searching.

Nilanjan Sinhababu, Rabina Khatun

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

In-Context Learning in LLMs to Improve Retrieval Models.

Nilanjan Sinhababu

Proceedings of the 16th Annual Meeting of the Forum for Information Retrieval Evaluation, 2024

Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model.

Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly, Debasis Samanta, Pabitra Mitra

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Mitigating DoS Attack in MANETs Considering Node Reputation with AI.

Subrata Joardar, Nilanjan Sinhababu, Soumyodeep Dey, Prasenjit Choudhury

J. Netw. Syst. Manag., July, 2023

Improved Sequence Predictions using Knowledge Graph Embedding for Large Language Models.

Rabina Khatun, Nilanjan Sinhababu

Proceedings of the Third International Conference on AI-ML Systems, 2023

2021

Hidden features identification for designing an efficient research article recommendation system.

Arpita Chaudhuri, Nilanjan Sinhababu, Monalisa Sarma, Debasis Samanta

Int. J. Digit. Libr., 2021

Medical Information Retrieval and Interpretation: A Question-Answer based Interaction Model.

Nilanjan Sinhababu, Rahul Saxena, Monalisa Sarma, Debasis Samanta

CoRR, 2021

Computational Intelligence Approach to Improve the Classification Accuracy of Brain Neoplasm in MRI Data.

Nilanjan Sinhababu, Monalisa Sarma, Debasis Samanta

CoRR, 2021

Deep Learning Based Resource Availability Prediction for Local Mobile Crowd Computing.

Pijush Kanti Dutta Pramanik, Nilanjan Sinhababu, Kyung-Sup Kwak, Prasenjit Choudhury

IEEE Access, 2021

2020

Mining multilingual and multiscript Twitter data: unleashing the language and script barrier.

Bidhan Sarkar, Nilanjan Sinhababu, Manob Roy, Pijush Kanti Dutta Pramanik, Prasenjit Choudhury

Int. J. Bus. Intell. Data Min., 2020

2019

Power Consumption Analysis, Measurement, Management, and Issues: A State-of-the-Art Review of Smartphone Battery and Energy Usage.

Pijush Kanti Dutta Pramanik, Nilanjan Sinhababu, Bulbul Mukherjee, Sanjeevikumar Padmanaban, Aranyak Maity, Bijoy Kumar Upadhyaya, Jens Bo Holm-Nielsen, Prasenjit Choudhury

IEEE Access, 2019