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Pracheta Sahoo

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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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2020 – today

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2020
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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)
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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
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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

2010 – 2019

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2019
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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)
2018
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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
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Ahmed Abdelatty, Pracheta Sahoo, Chiradeep Roy:
Structure Learning Using Forced Pruning. CoRR abs/1812.00975 (2018)
2016
[c2]
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Pracheta Sahoo, Asif Ekbal, Sriparna Saha, Diego Mollá Aliod, Nandan Kaushik:
Semi-supervised Clustering of Medical Text. ClinicalNLP@COLING 2016 2016: 23-31
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Pracheta Sahoo, Sudipta Acharya, Sriparna Saha:
Automatic generation of biclusters from gene expression data using multi-objective simulated annealing approach. ICPR 2016: 2174-2179

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