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Publication search results
found 387 matches
- 2024
- Himansu Das, Swarnava Das, Mahendra Kumar Gourisaria, Surbhi Bhatia Khan, Ahlam Almusharraf, Abdullah I. Alharbi, T. R. Mahesh:
Enhancing Software Fault Prediction Through Feature Selection With Spider Wasp Optimization Algorithm. IEEE Access 12: 105309-105325 (2024) - Mahesh Thylore Ramakrishna, Saravanan Chandrasekaran, V. Ashwin Ram, V. Vinoth Kumar, V. Vivek, Suresh Guluwadi:
Data-Driven Intelligent Condition Adaptation of Feature Extraction for Bearing Fault Detection Using Deep Responsible Active Learning. IEEE Access 12: 45381-45397 (2024) - Eid Albalawi, T. R. Mahesh, Arastu Thakur, V. Vinoth Kumar, Muskan Gupta, Surbhi Bhatia Khan, Ahlam Almusharraf:
Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor. BMC Medical Imaging 24(1): 110 (2024) - Eid Albalawi, T. R. Mahesh, Arastu Thakur, V. Vinoth Kumar, Muskan Gupta, Surbhi Bhatia Khan, Ahlam Almusharraf:
Correction to: Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor. BMC Medical Imaging 24(1): 161 (2024) - S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, Suresh Guluwadi:
Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer. BMC Medical Imaging 24(1): 82 (2024) - S. R. Sannasi Chakravarthy, N. Bharanidharan, C. Vinothini, Vinoth Kumar Venkatesan, T. R. Mahesh, Suresh Guluwadi:
Adaptive Mish activation and ranger optimizer-based SEA-ResNet50 model with explainable AI for multiclass classification of COVID-19 chest X-ray images. BMC Medical Imaging 24(1): 206 (2024) - J. Satheesh Kumar, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, P. Prabhavathy, K. Manikandan, Suresh Guluwadi:
Detection of Marchiafava Bignami disease using distinct deep learning techniques in medical diagnostics. BMC Medical Imaging 24(1): 100 (2024) - M. Latha, P. Santhosh Kumar, R. Roopa Chandrika, T. R. Mahesh, V. Vinoth Kumar, Suresh Guluwadi:
Revolutionizing breast ultrasound diagnostics with EfficientNet-B7 and Explainable AI. BMC Medical Imaging 24(1): 230 (2024) - Mohamed Musthafa M, T. R. Mahesh, V. Vinoth Kumar, Suresh Guluwadi:
Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50. BMC Medical Imaging 24(1): 107 (2024) - Mohamed Musthafa M, Mahesh Thylore Ramakrishna, V. Vinoth Kumar, Suresh Guluwadi:
Enhanced skin cancer diagnosis using optimized CNN architecture and checkpoints for automated dermatological lesion classification. BMC Medical Imaging 24(1): 201 (2024) - T. R. Mahesh, Arastu Thakur, Muskan Gupta, Deepak Kumar Sinha, Kritika Kumari Mishra, Vinoth Kumar Venkatesan, Suresh Guluwadi:
Transformative Breast Cancer Diagnosis using CNNs with Optimized ReduceLROnPlateau and Early Stopping Enhancements. Int. J. Comput. Intell. Syst. 17(1): 14 (2024) - Yogesh K. Dwivedi, Anand Jeyaraj, Laurie Hughes, Gareth H. Davies, Manju Ahuja, Mousa Ahmed Albashrawi, Adil S. Al-Busaidi, Salah A. Al-Sharhan, Khalid Ibrahim Al-Sulaiti, Levent Altinay, Shem Amalaya, Sunil Archak, María Teresa Ballestar, Shonil A. Bhagwat, Anandhi Bharadwaj, Amit Bhushan, Indranil Bose, Pawan Budhwar, Deborah Bunker, Alexandru Capatina, Lemuria D. Carter, Ioanna D. Constantiou, Crispin R. Coombs, Tom Crick, Csaba Csáki, Yves Darnige, Rahul Dé, Rick Delbridge, Rameshwar Dubey, Robin Gauld, Ravikumar Gutti, Marié Hattingh, Arve Haug, Leeya Hendricks, Airo Hino, Cathy H. C. Hsu, Netta Iivari, Marijn Janssen, Ikram Jebabli, Paul Jones, Iris A. Junglas, Abhishek Kaushik, Deepak Khazanchi, Mitsuru Kodama, Sascha Kraus, Vikram Kumar, Christian Maier, F. Tegwen Malik, Machdel Matthee, Ian P. McCarthy, Marco Meier, Bhimaraya A. Metri, Adrian Micu, Angela-Eliza Micu, Santosh K. Misra, Anubhav Mishra, Tonja Molin-Juustila, Leif Oppermann, Nicholas O'Regan, Abhipsa Pal, Neeraj Pandey, Ilias O. Pappas, Andrew Parker, Kavita Pathak, Daniel A. Pienta, Ariana Polyviou, Ramakrishnan Raman, Samuel Ribeiro-Navarrete, Paavo Ritala, Michael Rosemann, Suprateek Sarker, Pallavi Saxena, Daniel Schlagwein, Hergen Schultze, Chitra Sharma, Sujeet Kumar Sharma, Antonis C. Simintiras, Vinay Kumar Singh, Hanlie Smuts, John Soldatos, Manoj Kumar Tiwari, Jason Bennett Thatcher, Cristina Vanberghen, Ákos Varga, Polyxeni Vassilakopoulou, Viswanath Venkatesh, Giampaolo Viglia, Tim Vorley, Michael Wade, Paul Walton:
"Real impact": Challenges and opportunities in bridging the gap between research and practice - Making a difference in industry, policy, and society. Int. J. Inf. Manag. 78: 102750 (2024) - Giulia Crocioni, Dani L. Bodor, Coos Baakman, Farzaneh M. Parizi, Daniel-T. Rademaker, Gayatri Ramakrishnan, Sven van der Burg, Dario F. Marzella, João M. C. Teixeira, Li C. Xue:
DeepRank2: Mining 3D Protein Structures with Geometric Deep Learning. J. Open Source Softw. 9(96): 5983 (2024) - Jiaqi Yang, Nitish Mehta, Gözde Merve Demirci, Xiaoling Hu, Meera S. Ramakrishnan, Mina Naguib, Chao Chen, Chia-Ling Tsai:
Anomaly-guided weakly supervised lesion segmentation on retinal OCT images. Medical Image Anal. 94: 103139 (2024) - Thirumalesu Kudithi, J. Balajee, R. Sivakami, T. R. Mahesh, E. Mohan, Suresh Guluwadi:
Hybridized deep learning goniometry for improved precision in Ehlers-Danlos Syndrome (EDS) evaluation. BMC Medical Informatics Decis. Mak. 24(1): 196 (2024) - Mohamed Musthafa M, I. Manimozhi, T. R. Mahesh, Suresh Guluwadi:
Optimizing double-layered convolutional neural networks for efficient lung cancer classification through hyperparameter optimization and advanced image pre-processing techniques. BMC Medical Informatics Decis. Mak. 24(1): 142 (2024) - A. M. J. Zubair Rahman, Muskan Gupta, S. Aarathi, T. R. Mahesh, V. Vinoth Kumar, S. Yogesh Kumaran, Suresh Guluwadi:
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering. BMC Medical Informatics Decis. Mak. 24(1): 113 (2024) - K. Vanitha, T. R. Mahesh, S. Sathea Sree, Suresh Guluwadi:
Deep learning ensemble approach with explainable AI for lung and colon cancer classification using advanced hyperparameter tuning. BMC Medical Informatics Decis. Mak. 24(1): 222 (2024) - Jayaraman Seetha, Ramakrishnan Ramanathan, Vishal Goyal, M. Tholkapiyan, C. Karthikeyan, Ravi Kumar:
Mango leaf disease classification using hybrid Coyote-Grey Wolf optimization tuned neural network model. Multim. Tools Appl. 83(6): 17699-17725 (2024) - Jayaraman Seetha, Ramakrishnan Ramanathan, Vishal Goyal, M. Tholkapiyan, C. Karthikeyan, Ravi Kumar:
Correction: Mango leaf disease classification using hybrid Coyote-Grey Wolf optimization tuned neural network model. Multim. Tools Appl. 83(6): 17727 (2024) - T. R. Mahesh, V. Vinoth Kumar, V. Vivek, K. M. Karthick Raghunath, G. Sindhu Madhuri:
Early predictive model for breast cancer classification using blended ensemble learning. Int. J. Syst. Assur. Eng. Manag. 15(1): 188-197 (2024) - S. VenkataKeerthy, Siddharth Jain, Umesh Kalvakuntla, Pranav Sai Gorantla, Rajiv Shailesh Chitale, Eugene Brevdo, Albert Cohen, Mircea Trofin, Ramakrishna Upadrasta:
The Next 700 ML-Enabled Compiler Optimizations. CC 2024: 238-249 - Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbeláez, Gedas Bertasius, Dima Damen, Jakob Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard A. Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shout, Michael Wray:
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CVPR 2024: 19383-19400 - Kshitij Mishra, Tamer Soliman, Anil Ramakrishna, Aram Galstyan, Anoop Kumar:
Correcting Language Model Outputs by Editing Salient Layers. EACL (Findings) 2024: 1295-1305 - Vibhor Agarwal, Aravindh Raman, Nishanth Sastry, Ahmed M. Abdelmoniem, Gareth Tyson, Ignacio Castro:
Decentralised Moderation for Interoperable Social Networks: A Conversation-Based Approach for Pleroma and the Fediverse. ICWSM 2024: 2-14 - Somnath Karmakar, Priya Singh, Tince Varghese, Mithun B. Sheshachala, Rahul Dasharath Gavas, Ramesh Kumar Ramakrishnan, Arpan Pal:
CamTratak: RGB Camera-based frugal real-time gaze tracker for real-world applications. PerCom Workshops 2024: 70-75 - Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy:
Using Early Readouts to Mediate Featural Bias in Distillation. WACV 2024: 2626-2635 - Abel Souza, Kristiaan Pelckmans, Devarshi Ghoshal, Lavanya Ramakrishnan, Johan Tordsson:
ASA - The Adaptive Scheduling Algorithm. CoRR abs/2401.09733 (2024) - Tiantian Feng, Anil Ramakrishna, Jimit Majmudar, Charith Peris, Jixuan Wang, Clement Chung, Richard S. Zemel, Morteza Ziyadi, Rahul Gupta:
Partial Federated Learning. CoRR abs/2403.01615 (2024) - Vibhor Agarwal, Aravindh Raman, Nishanth Sastry, Ahmed M. Abdelmoniem, Gareth Tyson, Ignacio Castro:
Decentralised Moderation for Interoperable Social Networks: A Conversation-based Approach for Pleroma and the Fediverse. CoRR abs/2404.03048 (2024)
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