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ORCIDBadri Adhikari
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2020 – today
- 2023
[i3]Badri Adhikari:
Thinking beyond chatbots' threat to education: Visualizations to elucidate the writing and coding process. CoRR abs/2304.14342 (2023)- [i2]Bishal Shrestha, Griwan Khakurel, Kritika Simkhada, Badri Adhikari:
Adversarial sample generation and training using geometric masks for accurate and resilient license plate character recognition. CoRR abs/2311.12857 (2023) - 2022
- [j14]Bikash Shrestha, Badri Adhikari
:
Scoring protein sequence alignments using deep learning. Bioinform. 38(11): 2988-2995 (2022) - [j13]Jacob Barger, Badri Adhikari:
New Labeling Methods for Deep Learning Real-Valued Inter-Residue Distance Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3586-3594 (2022) - 2021
- [j12]Badri Adhikari, Bikash Shrestha, Matthew Bernardini, Jie Hou, Jamie Lea:
DISTEVAL: a web server for evaluating predicted protein distances. BMC Bioinform. 22(1): 8 (2021) - 2020
- [j11]Badri Adhikari:
DEEPCON: protein contact prediction using dilated convolutional neural networks with dropout. Bioinform. 36(2): 470-477 (2020) - [j10]Tianqi Wu, Jie Hou, Badri Adhikari, Jianlin Cheng:
Analysis of several key factors influencing deep learning-based inter-residue contact prediction. Bioinform. 36(4): 1091-1098 (2020)
2010 – 2019
- 2018
- [j9]Jie Hou, Badri Adhikari, Jianlin Cheng:
DeepSF: deep convolutional neural network for mapping protein sequences to folds. Bioinform. 34(8): 1295-1303 (2018) - [j8]Badri Adhikari, Jie Hou, Jianlin Cheng:
DNCON2: improved protein contact prediction using two-level deep convolutional neural networks. Bioinform. 34(9): 1466-1472 (2018) - [j7]Badri Adhikari, Jianlin Cheng:
CONFOLD2: improved contact-driven ab initio protein structure modeling. BMC Bioinform. 19(1): 22:1-22:5 (2018) - [c1]Jie Hou, Badri Adhikari, Jianlin Cheng:
DeepSF: Deep Convolutional Neural Network for Mapping Protein Sequences to Folds. BCB 2018: 565 - 2017
- [j6]Renzhi Cao, Badri Adhikari, Debswapna Bhattacharya, Miao Sun, Jie Hou, Jianlin Cheng:
QAcon: single model quality assessment using protein structural and contact information with machine learning techniques. Bioinform. 33(4): 586-588 (2017) - [j5]Badri Adhikari, Jianlin Cheng:
Improved protein structure reconstruction using secondary structures, contacts at higher distance thresholds, and non-contacts. BMC Bioinform. 18(1): 380 (2017) - [j4]Haiou Li, Jie Hou, Badri Adhikari, Qiang Lyu, Jianlin Cheng:
Deep learning methods for protein torsion angle prediction. BMC Bioinform. 18(1): 417:1-417:13 (2017) - [i1]Jie Hou, Badri Adhikari, Jianlin Cheng:
DeepSF: deep convolutional neural network for mapping protein sequences to folds. CoRR abs/1706.01010 (2017) - 2016
- [j3]Debswapna Bhattacharya, Badri Adhikari, Jilong Li, Jianlin Cheng:
FRAGSION: ultra-fast protein fragment library generation by IOHMM sampling. Bioinform. 32(13): 2059-2061 (2016) - [j2]Badri Adhikari, Jackson Nowotny, Debswapna Bhattacharya, Jie Hou, Jianlin Cheng:
ConEVA: a toolbox for comprehensive assessment of protein contacts. BMC Bioinform. 17: 517:1-517:12 (2016) - 2015
- [j1]Renzhi Cao, Debswapna Bhattacharya, Badri Adhikari, Jilong Li, Jianlin Cheng:
Large-scale model quality assessment for improving protein tertiary structure prediction. Bioinform. 31(12): 116-123 (2015)
Coauthor Index
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