U. Deva Priyakumar

30 papers A* 1B 3Misc 2Journal 18Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Deep reinforcement learning in chemistry: A review. J. Comput. Chem. Bhuvanesh Sridharan, Animesh Sinha, Jai Bardhan, Rohit Modee, Masahiro Ehara, U. Deva Priyakumar
2024	—	`conf`	GraphDDI: Graph Neural Network for Prediction of Drug-Drug Interaction. AIiH (1) Suyash Gupta, Siddhartha Laghuvarapu, U. Deva Priyakumar
2024	—	`conf`	Self-Supervised Modality-Agnostic Pre-Training of Swin Transformers. ISBI Abhiroop Talasila, Maitreya Maity, U. Deva Priyakumar
2024	J	`jnl`	Self-Supervised Modality-Agnostic Pre-Training of Swin Transformers. CoRR Abhiroop Talasila, Maitreya Maity, U. Deva Priyakumar
2023	—	`conf`	A Machine Learning Approach for Outcome Prediction in Postanoxic Coma Patients Using Frequency Domain Features. CinC Vijay Vignesh Venkataramani, Akshit Garg, Maitreya Maity, U. Deva Priyakumar
2023	J	`jnl`	MeGen - generation of gallium metal clusters using reinforcement learning. Mach. Learn. Sci. Technol. Rohit Modee, Ashwini Verma, Kavita Joshi, U. Deva Priyakumar
2023	B	`conf`	Self-Supervision and Weak Supervision for Accurate and Interpretable Chest X-Ray Classification Models. IJCNN Abhiroop Talasila, Akshaya Karthikeyan, Shanmukh Alle, Maitreya Maity, U. Deva Priyakumar
2023	B	`conf`	Single-Lead to Multi-Lead Electrocardiogram Reconstruction Using a Modified Attention U-Net Framework. IJCNN Akshit Garg, Vijay Vignesh Venkataramani, U. Deva Priyakumar
2022	J	`jnl`	Benchmark study on deep neural network potentials for small organic molecules. J. Comput. Chem. Rohit Modee, Siddhartha Laghuvarapu, U. Deva Priyakumar
2022	J	`jnl`	BiRDS - Binding Residue Detection from Protein Sequences Using Deep ResNets. J. Chem. Inf. Model. Vineeth R. Chelur, U. Deva Priyakumar
2022	J	`jnl`	DeepPocket: Ligand Binding Site Detection and Segmentation using 3D Convolutional Neural Networks. J. Chem. Inf. Model. Rishal Aggarwal, Akash Gupta, Vineeth R. Chelur, C. V. Jawahar, U. Deva Priyakumar
2022	J	`jnl`	IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification. CoRR Likith Reddy, Vivek Talwar, Shanmukh Alle, Raju S. Bapi, U. Deva Priyakumar
2022	J	`jnl`	Mining subgraph coverage patterns from graph transactions. Int. J. Data Sci. Anal. A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, U. Deva Priyakumar
2022	Misc	`conf`	Modern AI/ML Methods for Healthcare: Opportunities and Challenges. ICDCIT Akshit Garg, Vijay Vignesh Venkataramani, Akshaya Karthikeyan, U. Deva Priyakumar
2022	—	`conf`	Modified Variable Kernel Length ResNets for Heart Murmur Detection and Clinical Outcome Prediction Using Phonocardiogram Recordings. CinC Vijay Vignesh Venkataramani, Akshit Garg, U. Deva Priyakumar
2022	J	`jnl`	MolGPT: Molecular Generation Using a Transformer-Decoder Model. J. Chem. Inf. Model. Viraj Bagal, Rishal Aggarwal, P. K. Vinod, U. Deva Priyakumar
2021	Misc	`conf`	A Model of Graph Transactional Coverage Patterns with Applications to Drug Discovery. HiPC A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, U. Deva Priyakumar
2021	J	`jnl`	APObind: A Dataset of Ligand Unbound Protein Conformations for Machine Learning Applications in De Novo Drug Design. CoRR Rishal Aggarwal, Akash Gupta, U. Deva Priyakumar
2021	B	`conf`	IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification. SMC Likith Reddy, Vivek Talwar, Shanmukh Alle, Raju S. Bapi, U. Deva Priyakumar
2021	J	`jnl`	Learning Atomic Interactions through Solvation Free Energy Prediction Using Graph Neural Networks. J. Chem. Inf. Model. Yashaswi Pathak, Sarvesh Mehta, U. Deva Priyakumar
2021	—	`conf`	Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait. MICCAI (5) Shanmukh Alle, U. Deva Priyakumar
2021	J	`jnl`	Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait. CoRR Shanmukh Alle, U. Deva Priyakumar
2021	—	`conf`	MMBERT: Multimodal BERT Pretraining for Improved Medical VQA. ISBI Yash Khare, Viraj Bagal, Minesh Mathew, Adithi Devi, U. Deva Priyakumar, C. V. Jawahar
2021	J	`jnl`	MMBERT: Multimodal BERT Pretraining for Improved Medical VQA. CoRR Yash Khare, Viraj Bagal, Minesh Mathew, Adithi Devi, U. Deva Priyakumar, C. V. Jawahar
2021	J	`jnl`	MoleGuLAR: Molecule Generation Using Reinforcement Learning with Alternating Rewards. J. Chem. Inf. Model. Manan Goel, Shampa Raghunathan, Siddhartha Laghuvarapu, U. Deva Priyakumar
2020	J	`jnl`	BAND NN: A Deep Learning Framework for Energy Prediction and Geometry Optimization of Organic Small Molecules. J. Comput. Chem. Siddhartha Laghuvarapu, Yashaswi Pathak, U. Deva Priyakumar
2020	A*	`conf`	Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like Molecules. AAAI Yashaswi Pathak, Siddhartha Laghuvarapu, Sarvesh Mehta, U. Deva Priyakumar
2015	J	`jnl`	Dynamics Based Pharmacophore Models for Screening Potential Inhibitors of Mycobacterial Cyclopropane Synthase. J. Chem. Inf. Model. Chinmayee Choudhury, U. Deva Priyakumar, G. Narahari Sastry
2015	J	`jnl`	Prediction of the structures of helical membrane proteins based on a minimum unfavorable contacts approach. J. Comput. Chem. Siladitya Padhi, Siddabattula Ramakrishna, U. Deva Priyakumar
2011	J	`jnl`	Impact of 2′-hydroxyl sampling on the conformational properties of RNA: Update of the CHARMM all-atom additive force field for RNA. J. Comput. Chem. Elizabeth J. Denning, U. Deva Priyakumar, Lennart Nilsson, Alexander D. MacKerell Jr.