Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization.
CoRR, April, 2025
CBAR-UNet: A novel methodology for segmentation of cardiac magnetic resonance images using block attention-based deep residual neural network.
Multim. Tools Appl., November, 2024
Coordinating Numerical Relays with Voltage-Time-Current Characteristics in DG Integrated Power Networks and Implementation using FPGA.
Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2024
TIVAN-indel: a computational framework for annotating and predicting non-coding regulatory small insertions and deletions.
Bioinform., February, 2023
DeepPHiC: predicting promoter-centered chromatin interactions using a novel deep learning approach.
Bioinform., January, 2023
Application of Hybrid Approach towards Multi Aspect Classification and Analysis of Malware.
Proceedings of the OITS International Conference on Information Technology, 2023
Explain to me like I am five - Sentence Simplification Using Transformers.
CoRR, 2022
Efficient Protocol to Optimize New Radio Frequency Scanning in 5G Network.
Proceedings of the 4th IEEE 5G World Forum, 2021
Unbiased Learning-to-Rank from Logged Implicit Feedback.
PhD thesis, 2020
Fake News Detection Using a Blend of Neural Networks: An Application of Deep Learning.
SN Comput. Sci., 2020
Comparative analysis of environment losses in steel manufacturing supply chain using Taguchi loss function and design of experiments.
J. Enterp. Inf. Manag., 2020
Functionally Effective Conscious AI Without Suffering.
J. Artif. Intell. Conscious., 2020
Using LSTM for the Prediction of Disruption in ADITYA Tokamak.
CoRR, 2020
Exploring Sentiments of Voters through Social Media Content: A Case Study of 2017 Assembly Elections of Three States in India.
Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020
Characterizing behavioral trends in a community driven discussion platform.
CoRR, 2019
Addressing Trust Bias for Unbiased Learning-to-Rank.
Proceedings of the World Wide Web Conference, 2019
Estimating Position Bias without Intrusive Interventions.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
Intervention Harvesting for Context-Dependent Examination-Bias Estimation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
A General Framework for Counterfactual Learning-to-Rank.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Offline Comparison of Ranking Functions using Randomized Data.
CoRR, 2018
Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank.
CoRR, 2018
Counterfactual Learning-to-Rank for Additive Metrics and Deep Models.
CoRR, 2018
Analyzing Behavioral Trends in Community Driven Discussion Platforms Like Reddit.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
Effective Evaluation Using Logged Bandit Feedback from Multiple Loggers.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Content Based Multimodal Retrieval for Databases of Indian Monuments.
Proceedings of the Contemporary Computing - Third International Conference, 2010