Pracheta Sahoo

Publication Activity (10 Years)

Years Active: 2016-2020
Publications (10 Years): 8

Top Topics

Microarray Data

Metric Learning

Parameter Learning

Pairwise Constraints

Top Venues

BigDataSecurity/HPSC/IDS

Publications

Zhuoyi Wang, Yigong Wang, Bo Dong, Pracheta Sahoo, Kevin W. Hamlen, Latifur Khan
Adaptive Margin Based Deep Adversarial Metric Learning. BigDataSecurity/HPSC/IDS (2020)
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)
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) (2020)
Sudipta Acharya, Sriparna Saha, Pracheta Sahoo
Bi-clustering of microarray data using a symmetry-based multi-objective optimization framework. Soft Comput. 23 (14) (2019)
Ahmed Abdelatty, Pracheta Sahoo, Chiradeep Roy
Structure Learning Using Forced Pruning. CoRR (2018)
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)
Pracheta Sahoo, Sudipta Acharya, Sriparna Saha
Automatic generation of biclusters from gene expression data using multi-objective simulated annealing approach. ICPR (2016)
Pracheta Sahoo, Asif Ekbal, Sriparna Saha, Diego Mollá Aliod, Nandan Kaushik
Semi-supervised Clustering of Medical Text. ClinicalNLP@COLING 2016 (2016)