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ORCIDRishikesh Magar
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Journal Articles
- 2024
[j10]Hongshuo Huang
, Rishikesh Magar, Amir Barati Farimani:
Pretraining Strategies for Structure Agnostic Material Property Prediction. J. Chem. Inf. Model. 64(3): 627-637 (2024)- [j9]Seongwon Kim, Parisa Mollaei, Akshay Antony, Rishikesh Magar, Amir Barati Farimani:
GPCR-BERT: Interpreting Sequential Design of G Protein-Coupled Receptors Using Protein Language Models. J. Chem. Inf. Model. 64(4): 1134-1144 (2024) - 2023
- [j8]Akshay Antony, Chakradhar Guntuboina, Rishikesh Magar, Lalit Ghule, Ruchit Doshi, Aman Khalid, Sharan Seshadri, Amir Barati Farimani:
ManufacturingNet: A machine learning toolbox for engineers. SoftwareX 23: 101478 (2023) - 2022
- [j7]Lu Xu, Rishikesh Magar, Amir Barati Farimani:
Forecasting COVID-19 new cases using deep learning methods. Comput. Biol. Medicine 144: 105342 (2022) - [j6]Yuyang Wang, Rishikesh Magar, Chen Liang, Amir Barati Farimani:
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast. J. Chem. Inf. Model. 62(11): 2713-2725 (2022) - [j5]Gautam Rajendrakumar Gare, Jiayuan Li, Rohan Joshi, Rishikesh Magar, Mrunal Prashant Vaze, Michael Yousefpour, Ricardo Luis Rodriguez, John Michael Galeotti:
W-Net: Dense and diagnostic semantic segmentation of subcutaneous and breast tissue in ultrasound images by incorporating ultrasound RF waveform data. Medical Image Anal. 76: 102326 (2022) - [j4]Rishikesh Magar, Yuyang Wang, Cooper Lorsung, Chen Liang, Hariharan Ramasubramanian, Peiyuan Li, Amir Barati Farimani:
AugLiChem: data augmentation library of chemical structures for machine learning. Mach. Learn. Sci. Technol. 3(4): 45015 (2022) - 2021
- [j3]Rishikesh Magar, Lalit Ghule, Junhan Li, Yang Zhao, Amir Barati Farimani:
FaultNet: A Deep Convolutional Neural Network for Bearing Fault Classification. IEEE Access 9: 25189-25199 (2021) - [j2]Baishali Mullick, Rishikesh Magar, Aastha Jhunjhunwala, Amir Barati Farimani:
Understanding mutation hotspots for the SARS-CoV-2 spike protein using Shannon Entropy and K-means clustering. Comput. Biol. Medicine 138: 104915 (2021) - [j1]Phil M. Smith, Indorica Sutradhar, Maxwell Telmer, Rishikesh Magar, Amir Barati Farimani, B. Reeja-Jayan:
Isolating Specific vs. Non-Specific Binding Responses in Conducting Polymer Biosensors for Bio-Fingerprinting. Sensors 21(19): 6335 (2021)
Informal and Other Publications
- 2024
- [i12]Janghoon Ock, Rishikesh Magar, Akshay Antony, Amir Barati Farimani:
Multimodal Language and Graph Learning of Adsorption Configuration in Catalysis. CoRR abs/2401.07408 (2024) - 2023
- [i11]Hongshuo Huang, Rishikesh Magar, Changwen Xu, Amir Barati Farimani:
Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction. CoRR abs/2308.16259 (2023) - [i10]Suryanarayanan Balaji, Rishikesh Magar, Yayati Jadhav, Amir Barati Farimani:
GPT-MolBERTa: GPT Molecular Features Language Model for molecular property prediction. CoRR abs/2310.03030 (2023) - [i9]Seongwon Kim, Parisa Mollaei, Akshay Antony, Rishikesh Magar, Amir Barati Farimani:
GPCR-BERT: Interpreting Sequential Design of G Protein Coupled Receptors Using Protein Language Models. CoRR abs/2310.19915 (2023) - 2022
- [i8]Yuyang Wang, Rishikesh Magar, Chen Liang, Amir Barati Farimani:
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast. CoRR abs/2202.09346 (2022) - [i7]Rishikesh Magar, Yuyang Wang, Amir Barati Farimani:
Crystal Twins: Self-supervised Learning for Crystalline Material Property Prediction. CoRR abs/2205.01893 (2022) - [i6]Zhonglin Cao, Rishikesh Magar, Yuyang Wang, Amir Barati Farimani:
MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction. CoRR abs/2210.14188 (2022) - 2021
- [i5]Rishikesh Magar, Yuyang Wang, Cooper Lorsung, Chen Liang, Hariharan Ramasubramanian, Peiyuan Li, Amir Barati Farimani:
AugLiChem: Data Augmentation Library ofChemical Structures for Machine Learning. CoRR abs/2111.15112 (2021) - 2020
- [i4]Rishikesh Magar, Prakarsh Yadav, Amir Barati Farimani:
Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning. CoRR abs/2003.08447 (2020) - [i3]Mohammadreza Karamad, Rishikesh Magar, Yuting Shi, Samira Siahrostami, Ian Donald Gates, Amir Barati Farimani:
Orbital Graph Convolutional Neural Network for Material Property Prediction. CoRR abs/2008.06415 (2020) - [i2]Gautam Rajendrakumar Gare, Jiayuan Li, Rohan Joshi, Mrunal Prashant Vaze, Rishikesh Magar, Michael Yousefpour, Ricardo Luis Rodriguez, John Michael Galeotti:
W-Net: Dense Semantic Segmentation of Subcutaneous Tissue in Ultrasound Images by Expanding U-Net to Incorporate Ultrasound RF Waveform Data. CoRR abs/2008.12413 (2020) - [i1]Rishikesh Magar, Lalit Ghule, Junhan Li, Yang Zhao, Amir Barati Farimani:
FaultNet: A Deep Convolutional Neural Network for bearing fault classification. CoRR abs/2010.02146 (2020)
Coauthor Index
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