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ORCIDPracheta Sahoo
Person information
- affiliation: University of Texas at Dallas, Department of Computer Science, TX, USA
- affiliation: Indian Institute of Technology Patna, Department of Computer Science and Engineering, India
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Journal Articles
- 2020
[j2]Pracheta Sahoo, Indranil Roy
, Zhuoyi Wang, Feng Mi, Lin Yu, Pradeep Balasubramani, Latifur Khan, J. Fraser Stoddart:
MultiCon: A Semi-Supervised Approach for Predicting Drug Function from Chemical Structure Analysis. J. Chem. Inf. Model. 60(12): 5995-6006 (2020)- 2019
- [j1]Sudipta Acharya, Sriparna Saha, Pracheta Sahoo:
Bi-clustering of microarray data using a symmetry-based multi-objective optimization framework. Soft Comput. 23(14): 5693-5714 (2019)
Conference and Workshop Papers
- 2020
- [c5]Zhuoyi Wang, Yigong Wang, Bo Dong, Pracheta Sahoo, Kevin W. Hamlen, Latifur Khan:
Adaptive Margin Based Deep Adversarial Metric Learning. BigDataSecurity/HPSC/IDS 2020: 100-108 - [c4]Gbadebo Ayoade, Khandakar Ashrafi Akbar, Pracheta Sahoo, Yang Gao, Anmol Agarwal, Kangkook Jee, Latifur Khan, Anoop Singhal:
Evolving Advanced Persistent Threat Detection using Provenance Graph and Metric Learning. CNS 2020: 1-9 - 2018
- [c3]Li Chou, Pracheta Sahoo, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate:
Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks. AAAI 2018: 2860-2867 - 2016
- [c2]Pracheta Sahoo, Asif Ekbal, Sriparna Saha, Diego Mollá Aliod, Nandan Kaushik:
Semi-supervised Clustering of Medical Text. ClinicalNLP@COLING 2016 2016: 23-31 - [c1]Pracheta Sahoo, Sudipta Acharya, Sriparna Saha:
Automatic generation of biclusters from gene expression data using multi-objective simulated annealing approach. ICPR 2016: 2174-2179
Informal and Other Publications
- 2018
- [i1]Ahmed Abdelatty, Pracheta Sahoo, Chiradeep Roy:
Structure Learning Using Forced Pruning. CoRR abs/1812.00975 (2018)
Coauthor Index
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