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ORCIDU. Deva Priyakumar
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2020 – today
- 2024
[j12]Bhuvanesh Sridharan, Animesh Sinha, Jai Bardhan, Rohit Modee, Masahiro Ehara, U. Deva Priyakumar
:
Deep reinforcement learning in chemistry: A review. J. Comput. Chem. 45(22, August): 1886-1898 (2024)- [c12]Suyash Gupta, Siddhartha Laghuvarapu, U. Deva Priyakumar:
GraphDDI: Graph Neural Network for Prediction of Drug-Drug Interaction. AIiH (1) 2024: 17-30 - [c11]Abhiroop Talasila, Maitreya Maity, U. Deva Priyakumar:
Self-Supervised Modality-Agnostic Pre-Training of Swin Transformers. ISBI 2024: 1-5 - [i5]Abhiroop Talasila, Maitreya Maity, U. Deva Priyakumar:
Self-Supervised Modality-Agnostic Pre-Training of Swin Transformers. CoRR abs/2405.12781 (2024) - 2023
- [c10]Vijay Vignesh Venkataramani, Akshit Garg, Maitreya Maity, U. Deva Priyakumar:
A Machine Learning Approach for Outcome Prediction in Postanoxic Coma Patients Using Frequency Domain Features. CinC 2023: 1-4 - [c9]Akshit Garg, Vijay Vignesh Venkataramani, U. Deva Priyakumar:
Single-Lead to Multi-Lead Electrocardiogram Reconstruction Using a Modified Attention U-Net Framework. IJCNN 2023: 1-8 - [c8]Abhiroop Talasila, Akshaya Karthikeyan, Shanmukh Alle, Maitreya Maity, U. Deva Priyakumar:
Self-Supervision and Weak Supervision for Accurate and Interpretable Chest X-Ray Classification Models. IJCNN 2023: 1-8 - 2022
- [j11]A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, U. Deva Priyakumar:
Mining subgraph coverage patterns from graph transactions. Int. J. Data Sci. Anal. 13(2): 105-121 (2022) - [j10]Rohit Modee, Siddhartha Laghuvarapu, U. Deva Priyakumar:
Benchmark study on deep neural network potentials for small organic molecules. J. Comput. Chem. 43(5): 308-318 (2022) - [j9]Vineeth R. Chelur, U. Deva Priyakumar:
BiRDS - Binding Residue Detection from Protein Sequences Using Deep ResNets. J. Chem. Inf. Model. 62(8): 1809-1818 (2022) - [j8]Viraj Bagal, Rishal Aggarwal, P. K. Vinod, U. Deva Priyakumar:
MolGPT: Molecular Generation Using a Transformer-Decoder Model. J. Chem. Inf. Model. 62(9): 2064-2076 (2022) - [j7]Rishal Aggarwal, Akash Gupta, Vineeth R. Chelur, C. V. Jawahar, U. Deva Priyakumar:
DeepPocket: Ligand Binding Site Detection and Segmentation using 3D Convolutional Neural Networks. J. Chem. Inf. Model. 62(21): 5069-5079 (2022) - [c7]Vijay Vignesh Venkataramani, Akshit Garg, U. Deva Priyakumar:
Modified Variable Kernel Length ResNets for Heart Murmur Detection and Clinical Outcome Prediction Using Phonocardiogram Recordings. CinC 2022: 1-4 - [c6]Akshit Garg, Vijay Vignesh Venkataramani, Akshaya Karthikeyan, U. Deva Priyakumar:
Modern AI/ML Methods for Healthcare: Opportunities and Challenges. ICDCIT 2022: 3-25 - [i4]Likith Reddy, Vivek Talwar, Shanmukh Alle, Raju S. Bapi, U. Deva Priyakumar:
IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification. CoRR abs/2204.05116 (2022) - 2021
- [j6]Yashaswi Pathak, Sarvesh Mehta, U. Deva Priyakumar:
Learning Atomic Interactions through Solvation Free Energy Prediction Using Graph Neural Networks. J. Chem. Inf. Model. 61(2): 689-698 (2021) - [j5]Manan Goel, Shampa Raghunathan, Siddhartha Laghuvarapu, U. Deva Priyakumar:
MoleGuLAR: Molecule Generation Using Reinforcement Learning with Alternating Rewards. J. Chem. Inf. Model. 61(12): 5815-5826 (2021) - [c5]A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, U. Deva Priyakumar:
A Model of Graph Transactional Coverage Patterns with Applications to Drug Discovery. HiPC 2021: 21-30 - [c4]Yash Khare, Viraj Bagal, Minesh Mathew, Adithi Devi, U. Deva Priyakumar, C. V. Jawahar:
MMBERT: Multimodal BERT Pretraining for Improved Medical VQA. ISBI 2021: 1033-1036 - [c3]Shanmukh Alle, U. Deva Priyakumar:
Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait. MICCAI (5) 2021: 614-623 - [c2]Likith Reddy, Vivek Talwar, Shanmukh Alle, Raju S. Bapi, U. Deva Priyakumar:
IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification. SMC 2021: 1068-1074 - [i3]Yash Khare, Viraj Bagal, Minesh Mathew, Adithi Devi, U. Deva Priyakumar, C. V. Jawahar:
MMBERT: Multimodal BERT Pretraining for Improved Medical VQA. CoRR abs/2104.01394 (2021) - [i2]Shanmukh Alle, U. Deva Priyakumar:
Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait. CoRR abs/2107.12878 (2021) - [i1]Rishal Aggarwal, Akash Gupta, U. Deva Priyakumar:
APObind: A Dataset of Ligand Unbound Protein Conformations for Machine Learning Applications in De Novo Drug Design. CoRR abs/2108.09926 (2021) - 2020
- [j4]Siddhartha Laghuvarapu, Yashaswi Pathak, U. Deva Priyakumar:
BAND NN: A Deep Learning Framework for Energy Prediction and Geometry Optimization of Organic Small Molecules. J. Comput. Chem. 41(8): 790-799 (2020) - [c1]Yashaswi Pathak, Siddhartha Laghuvarapu, Sarvesh Mehta, U. Deva Priyakumar:
Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like Molecules. AAAI 2020: 873-880
2010 – 2019
- 2015
- [j3]Siladitya Padhi, Siddabattula Ramakrishna, U. Deva Priyakumar:
Prediction of the structures of helical membrane proteins based on a minimum unfavorable contacts approach. J. Comput. Chem. 36(8): 539-552 (2015) - [j2]Chinmayee Choudhury, U. Deva Priyakumar, G. Narahari Sastry:
Dynamics Based Pharmacophore Models for Screening Potential Inhibitors of Mycobacterial Cyclopropane Synthase. J. Chem. Inf. Model. 55(4): 848-860 (2015) - 2011
- [j1]Elizabeth J. Denning, U. Deva Priyakumar, Lennart Nilsson, Alexander D. MacKerell Jr.:
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. 32(9): 1929-1943 (2011)
Coauthor Index
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last updated on 2024-10-02 21:36 CEST by the dblp team
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