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- Arun D. Prabhu
- Preetam Prabhu Srikar Dammu
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aka: Devaraya Prabhu - Deepa Prabhu
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Publication search results
found 639 matches
- 2024
- Vijayakumar Polepally, Jagannadha Rao D. B., Parsi Kalpana, S. Nagendra Prabhu:
Exponential Squirrel Search Algorithm-Based Deep Classifier for Intrusion Detection in Cloud Computing with Big Data Assisted Spark Framework. Cybern. Syst. 55(2): 331-350 (2024) - Anjan Gudigar, Nahrizul Adib Kadri, U. Raghavendra, Jyothi Samanth, M. Maithri, Mahesh Anil Inamdar, Mukund A. Prabhu, Ajay Hegde, Massimo Salvi, Chai Hong Yeong, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya:
Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013-2023). Comput. Biol. Medicine 172: 108207 (2024) - M. Sri Srinivasa Raju, Prabhujit Mohapatra, Saykat Dutta, Rammohan Mallipeddi, Kedar Nath Das:
Optimal placement of fixed hub height wind turbines in a wind farm using twin archive guided decomposition based multi-objective evolutionary algorithm. Eng. Appl. Artif. Intell. 130: 107735 (2024) - James R. Jones, Daniel Gottlieb, Andrew J. McMurry, Ashish Atreja, Pankaja M. Desai, Brian E. Dixon, Philip R. O. Payne, Anil J. Saldanha, Prabhu Shankar, Yauheni Solad, Adam B. Wilcox, Momeena S. Ali, Eugene Kang, Andrew M. Martin, Elizabeth Sprouse, David E. Taylor, Michael Terry, Vladimir Ignatov, Kenneth D. Mandl:
Real world performance of the 21st Century Cures Act population-level application programming interface. J. Am. Medical Informatics Assoc. 31(5): 1144-1150 (2024) - Prabhu Vellaisamy, Harideep Nair, Vamsikrishna Ratnakaram, Dhruv Gupta, John Paul Shen:
TNNGen: Automated Design of Neuromorphic Sensory Processing Units for Time-Series Clustering. IEEE Trans. Circuits Syst. II Express Briefs 71(5): 2519-2523 (2024) - Sumanth Prabhu, Grigory Fedyukovich, Deepak D'Souza:
Maximal Quantified Precondition Synthesis for Linear Array Loops. ESOP (2) 2024: 245-274 - Abeba Birhane, Sepehr Dehdashtian, Vinay Uday Prabhu, Vishnu Boddeti:
The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models. FAccT 2024: 1229-1244 - Sumanth Prabhu, Deepak D'Souza, Supratik Chakraborty, R. Venkatesh, Grigory Fedyukovich:
Weakest Precondition Inference for Non-Deterministic Linear Array Programs. TACAS (2) 2024: 175-195 - Preetam Prabhu Srikar Dammu, Omar Alonso:
Near-duplicate Question Detection. WWW (Companion Volume) 2024: 493-496 - Ameya Prabhu, Shiven Sinha, Ponnurangam Kumaraguru, Philip H. S. Torr, Ozan Sener, Puneet K. Dokania:
RanDumb: A Simple Approach that Questions the Efficacy of Continual Representation Learning. CoRR abs/2402.08823 (2024) - Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Mostofa Patwary, Sandeep Subramanian, Dan Su, Chen Zhu, Deepak Narayanan, Aastha Jhunjhunwala, Ayush Dattagupta, Vibhu Jawa, Jiwei Liu, Ameya Mahabaleshwarkar, Osvald Nitski, Annika Brundyn, James Maki, Miguel Martinez, Jiaxuan You, John Kamalu, Patrick LeGresley, Denys Fridman, Jared Casper, Ashwath Aithal, Oleksii Kuchaiev, Mohammad Shoeybi, Jonathan M. Cohen, Bryan Catanzaro:
Nemotron-4 15B Technical Report. CoRR abs/2402.16819 (2024) - Anshul Mittal, Shikhar Mohan, Deepak Saini, Suchith C. Prabhu, Jain jiao, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma:
Graph Regularized Encoder Training for Extreme Classification. CoRR abs/2402.18434 (2024) - Harideep Nair, Prabhu Vellaisamy, Tsung-Han Lin, Perry H. Wang, Ronald Shawn Blanton, John Paul Shen:
OzMAC: An Energy-Efficient Sparsity-Exploiting Multiply-Accumulate-Unit Design for DL Inference. CoRR abs/2402.19376 (2024) - Preetam Prabhu Srikar Dammu, Himanshu Naidu, Mouly Dewan, YoungMin Kim, Tanya Roosta, Aman Chadha, Chirag Shah:
ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs. CoRR abs/2403.09724 (2024) - Gaurav Shinde, Rohan Mohapatra, Pooja Krishan, Harish Garg, Srikanth Prabhu, Sanchari Das, Mohammad Masum, Saptarshi Sengupta:
The State of Lithium-Ion Battery Health Prognostics in the CPS Era. CoRR abs/2403.19816 (2024) - Anantha Prabhu, David Pratap, Narayana Darapeni, Anwesh P. R:
Study of the effect of Sharpness on Blind Video Quality Assessment. CoRR abs/2404.05764 (2024) - Darshan Prabhu, Sai Ganesh Mirishkar, Pankaj Wasnik:
Efficient infusion of self-supervised representations in Automatic Speech Recognition. CoRR abs/2404.12628 (2024) - Anahita Fathi Kazerooni, Nastaran Khalili, Deep Gandhi, Xinyang Liu, Zhifan Jiang, Syed Muhammed Anwar, Jake Albrecht, Maruf Adewole, Udunna Anazodo, Hannah Anderson, Sina Bagheri, Ujjwal Baid, Timothy Bergquist, Austin J. Borja, Evan Calabrese, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Ariana Familiar, Keyvan Farahani, Anurag Gottipati, Debanjan Haldar, Shuvanjan Haldar, Juan Eugenio Iglesias, Anastasia Janas, Elaine Johansen, Blaise V. Jones, Neda Khalili, Florian Kofler, Dominic LaBella, Hollie Anne Lai, Koen Van Leemput, Hongwei Bran Li, Nazanin Maleki, Aaron S. McAllister, Zeke Meier, Bjoern H. Menze, Ahmed W. Moawad, Khanak K. Nandolia, Julija Pavaine, Marie Piraud, Tina Poussaint, Sanjay P. Prabhu, Zachary Reitman, Andres Felipe Rodriguez, Jeffrey D. Rudie, Mariana Sanchez-Montano, Ibraheem Salman Shaikh, Lubdha M. Shah, Nakul Sheth, Russel Taki Shinohara, Wenxin Tu, Karthik Viswanathan, Chunhao Wang, Jeffrey B. Ware, Benedikt Wiestler, Walter I. Wiggins, Anna Zapaishchykova, Mariam Aboian, Miriam Bornhorst, Peter de Blank, Michelle Deutsch, Maryam Fouladi, Lindsey Hoffman, Benjamin H. Kann, Margot Lazow, Leonie Mikael, Ali Nabavizadeh, Roger J. Packer, Spyridon Bakas, Adam C. Resnick, Brian Rood, Arastoo Vossough, Marius George Linguraru:
The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). CoRR abs/2404.15009 (2024) - Nikhil Bansal, Vincent Cohen-Addad, Milind Prabhu, David Saulpic, Chris Schwiegelshohn:
Sensitivity Sampling for k-Means: Worst Case and Stability Optimal Coreset Bounds. CoRR abs/2405.01339 (2024) - Abeba Birhane, Sepehr Dehdashtian, Vinay Uday Prabhu, Vishnu Boddeti:
The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models. CoRR abs/2405.04623 (2024) - Preetam Prabhu Srikar Dammu, Hayoung Jung, Anjali Singh, Monojit Choudhury, Tanushree Mitra:
"They are uncultured": Unveiling Covert Harms and Social Threats in LLM Generated Conversations. CoRR abs/2405.05378 (2024) - 2023
- Vaisali Chandrasekar, Mohammed Yusuf Ansari, Ajay Vikram Singh, Shahab Uddin, Kirthi S. Prabhu, Sagnika Dash, Souhaila Al Khodor, Annalisa Terranegra, Matteo Avella, Sarada Prasad Dakua:
Investigating the Use of Machine Learning Models to Understand the Drugs Permeability Across Placenta. IEEE Access 11: 52726-52739 (2023) - Sharanya Prabhu, Shourya Gupta, Gautham Manuru Prabhu, Aarushi Vishal Dhanuka, Vivekananda Bhat K.:
QuCardio: Application of Quantum Machine Learning for Detection of Cardiovascular Diseases. IEEE Access 11: 136122-136135 (2023) - Sundaresan Sabapathy, Jefrin Sharmitha Prabhu, Maruthu Surendar, Dushantha Nalin K. Jayakody:
Profuse Channel Estimation and Signal Detection Techniques for Orthogonal Time Frequency Space in 6G Epoch: A Survey. IEEE Access 11: 129963-129993 (2023) - Sandip Das, Sumitava Ghosh, Swathy Prabhu, Sagnik Sen:
A Homomorphic Polynomial for Oriented Graphs. Electron. J. Comb. 30(1) (2023) - A. Jenice Prabhu, D. Hevin Rajesh:
Authentication of WSN for Secured Medical Data Transmission Using Diffie Hellman Algorithm. Comput. Syst. Sci. Eng. 45(3): 2363-2376 (2023) - Pramod Maurya, Manikandan Balakrishnan, Ranith Raj, Lakshadeep Naik, Llewellyn Fernandes, Nitin Dabholkar, Shivanand Prabhudesai, Jeyaraman Ravindran, Yogesh Agarwadekar, Gajanan Navelkar:
Augmented coral reef monitoring using a stationary reef monitoring system. Ecol. Informatics 74: 101972 (2023) - Elakkat D. Gireesh, Varadraj Prabhu Gurupur:
Information Entropy Measures for Evaluation of Reliability of Deep Neural Network Results. Entropy 25(4): 573 (2023) - Snehal Prabhudesai, Jeremiah Hauth, Dingkun Guo, Arvind Rao, Nikola Banovic, Xun Huan:
Lowering the computational barrier: Partially Bayesian neural networks for transparency in medical imaging AI. Frontiers Comput. Sci. 5 (2023) - Elakkat D. Gireesh, Holly Skinner, Joohee Seo, Po Ching, Lee Ki Hyeong, James Baumgartner, Varadraj Prabhu Gurupur:
Deep neural networks and gradient-weighted class activation mapping to classify and analyze EEG. Intell. Decis. Technol. 17(1): 43-53 (2023)
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