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Pranab Sahoo
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A systematic survey of prompt engineering in large language models: Techniques and applications
P Sahoo, AK Singh, S Saha, V Jain, S Mondal, A Chadha
arXiv preprint arXiv:2402.07927, 2024
3742024
A Multi-stage framework for COVID-19 detection and severity assessment from chest radiography images using advanced fuzzy ensemble technique
P Sahoo, S Saha, SK Sharma, S Mondal, S Gowda
Expert Systems with Applications 238, 121724, 2024
212024
Computer-aided covid-19 screening from chest ct-scan using a fuzzy ensemble-based technique
P Sahoo, S Saha, S Mondal, S Chowdhury, S Gowda
2022 International joint conference on neural networks (IJCNN), 1-8, 2022
142022
Vision transformer based covid-19 detection using chest ct-scan images
P Sahoo, S Saha, S Mondal, S Gowda
2022 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2022
132022
Enhancing computer-aided cervical cancer detection using a novel fuzzy rank-based fusion
P Sahoo, S Saha, S Mondal, M Seera, SK Sharma, M Kumar
IEEE Access 11, 145281-145294, 2023
122023
Machine learning-mediated ultrasensitive detection of citrinin and associated mycotoxins in real food samples discerned from a photoluminescent carbon dot barcode array
M Aggarwal, P Sahoo, S Saha, P Das
Journal of Agricultural and Food Chemistry 71 (34), 12849-12858, 2023
122023
Vision transformer-based federated learning for covid-19 detection using chest x-ray
P Sahoo, S Saha, S Mondal, S Chowdhury, S Gowda
International Conference on Neural Information Processing, 77-88, 2022
102022
Covid-19 detection from lung ultrasound images using a fuzzy ensemble-based transfer learning technique
P Sahoo, S Saha, S Mondal, N Sharma
2022 26th International Conference on Pattern Recognition (ICPR), 5170-5176, 2022
102022
A comprehensive survey of hallucination in large language, image, video and audio foundation models
P Sahoo, P Meharia, A Ghosh, S Saha, V Jain, A Chadha
arXiv preprint arXiv:2405.09589, 2024
62024
A federated multi-stage light-weight vision transformer for respiratory disease detection
P Sahoo, SK Sharma, S Saha, S Mondal
International Conference on Neural Information Processing, 300-311, 2023
42023
A multistage framework for respiratory disease detection and assessing severity in chest X-ray images
P Sahoo, SK Sharma, S Saha, D Jain, S Mondal
Scientific reports 14 (1), 12380, 2024
32024
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging
P Sahoo, A Tripathi, S Saha, S Mondal
MICCAI-2024 (International Conference on Medical Image Computing and …, 2024
22024
Adafedprox: A heterogeneity-aware federated deep reinforcement learning for medical image classification
P Sahoo, A Tripathi, S Saha, S Mondal, JP Singh, B Sharma
IEEE Transactions on Consumer Electronics, 2024
12024
Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development
P Sahoo, AK Singh, S Saha, A Chadha, S Mondal
Findings of the Association for Computational Linguistics ACL 2024, 2024
12024
Unveiling Hallucination in Text, Image, Video, and Audio Foundation Models: A Comprehensive Survey
P Sahoo, P Meharia, A Ghosh, S Saha, V Jain, A Chadha
EMNLP 2024 Findings, 2024
12024
Boosting cervical cancer detection with a multi-stage architecture and complementary information fusion
P Sahoo, S Saha, SK Sharma, S Mondal
Soft Computing, 1-16, 2025
2025
FedDUAL: A Dual-Strategy with Adaptive Loss and Dynamic Aggregation for Mitigating Data Heterogeneity in Federated Learning
P Sahoo, A Tripathi, S Saha, S Mondal
arXiv preprint arXiv:2412.04416, 2024
2024
FedPMVR: Addressing Data Heterogeneity in Federated Learning through Partial Momentum Variance Reduction
P Sahoo, A Tripathi, S Saha, S Mondal
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