AIDB Lab : Artificial Intelligence and DatabasesLink to Lab Webpage

Research AreasPlanning, Knowledge Representation, Artifical Neural Networks, Memory Based Reasoning.
MembersFaculty : Sutanu Chakraborti, Deepak Khemani, P. Sreenivasa Kumar, N.S. Narayanaswamy, Balaraman Ravindran.

Students/Scholars :
Project Staffs :

Recent Publications
  • Review of Approaches for Linked Data Ontology Enrichment.  
           S. Subhashree , Rajeev Irny , P. Sreenivasa Kumar
          Appeared in Distributed Computing and Internet Technology - 14th International Conference, ICDCIT 2018, Bhubaneswar, India, January 11-13, 2018, Proceedings, Lecture Notes in Computer Science, Vol 10722, pp.27-49, Jan 2018
  • Using Linear Stochastic Bandits to extend traditional offline Designed Experiments to online settings.  
           Nandan Sudarsanam , Balaraman Ravindran
          Appeared in Computers & Industrial Engineering, Vol 115, pp.471-485, Jan 2018
  • A neural attention based approach for clickstream mining.  
           Chandramohan T. N , Balaraman Ravindran
          Appeared in Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, COMAD/CODS 2018, Goa, India, January 11-13, 2018, pp.118-127, Jan 2018
  • A novel topic modeling based weighting framework for class imbalance learning.  
           Sudarsun Santhiappan , Jeshuren Chelladurai , Balaraman Ravindran
          Appeared in Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, COMAD/CODS 2018, Goa, India, January 11-13, 2018, pp.20-29, Jan 2018
  • Approximation Algorithms for Connected Graph Factors of Minimum Weight.  
           Kamiel Cornelissen , Ruben Hoeksma , Bodo Manthey , N.S. Narayanaswamy , C. S. Rahul , Marten Waanders
          Appeared in Theory Comput. Syst., Vol 62, pp.441-464, Jan 2018

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