Sagnik Sarkar

According to our database, Sagnik Sarkar authored at least 12 papers between 2019 and 2023.

Collaborative distances:

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

2023

Joint Price Optimization Across a Portfolio of Fashion E-Commerce Products.

Sagnik Sarkar, Siddhartha Devapujula, Hrishikesh Vidyadhar Ganu, Chaithanya Bandi, Ravindra Babu Tallamraju, Chilamakurthi Vamsikrishna Satya, Siddhant Doshi

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022

ListBERT: Learning to Rank E-commerce products with Listwise BERT.

Lakshya Kumar, Sagnik Sarkar

CoRR, 2022

Federated Learning for intrusion detection system: Concepts, challenges and future directions.

Shaashwat Agrawal, Sagnik Sarkar, Ons Aouedi, Gokul Yenduri, Kandaraj Piamrat, Mamoun Alazab, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu

Comput. Commun., 2022

Catalysis of neural activation functions: Adaptive feed-forward training for big data applications.

Sagnik Sarkar, Shaashwat Agrawal, Thar Baker, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu

Appl. Intell., 2022

Privacy-Preserving Federated Learning for Pneumonia Diagnosis.

Sagnik Sarkar, Shaashwat Agrawal, Thippa Reddy Gadekallu, Mufti Mahmud, David J. Brown

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

Genetically optimized prediction of remaining useful life.

Shaashwat Agrawal, Sagnik Sarkar, Gautam Srivastava, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu

Sustain. Comput. Informatics Syst., 2021

Neural Search: Learning Query and Product Representations in Fashion E-commerce.

Lakshya Kumar, Sagnik Sarkar

CoRR, 2021

Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning.

Shaashwat Agrawal, Sagnik Sarkar, Mamoun Alazab, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Quoc-Viet Pham

CoRR, 2021

Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions.

Shaashwat Agrawal, Sagnik Sarkar, Ons Aouedi, Gokul Yenduri, Kandaraj Piamrat, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu

CoRR, 2021

Genetic CFL: Hyperparameter Optimization in Clustered Federated Learning.

Shaashwat Agrawal, Sagnik Sarkar, Mamoun Alazab, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Quoc-Viet Pham

Comput. Intell. Neurosci., 2021

Temporal Weighted Averaging for Asynchronous Federated Intrusion Detection Systems.

Shaashwat Agrawal, Aditi Chowdhuri, Sagnik Sarkar, Ramani Selvanambi, Thippa Reddy Gadekallu

Comput. Intell. Neurosci., 2021

2019

Entity Set Expansion for Detecting Fashion Trends.

Sagnik Sarkar, Maulik Parmar, Sumeet Sandhu

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019