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
  • A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs.  
           Anasua Mitra , Priyesh Vijayan , Srinivasan Parthasarathy 0001 , Balaraman Ravindran
          Appeared in Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020, Cincinnati, Ohio, USA, May 7-9, 2020 [the conference was canceled because of the coronavirus pandemic, the reviewed papers are published in this volume]., pp.487-495, May 2020
  • EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness Against Adversarial Attacks.  
           Sanchari Sen , Balaraman Ravindran , Anand Raghunathan
          Appeared in 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020, Apr 2020
  • Perfect Resolution of Conflict-Free Colouring of Interval Hypergraphs.  
           Dhannya S M , N.S. Narayanaswamy
          Appeared in 37th International Symposium on Theoretical Aspects of Computer Science, STACS 2020, March 10-13, 2020, Montpellier, France., LIPIcs, Vol 154, pp.52:1-52:16, Mar 2020
  • Predicting software defect type using concept-based classification.  
           Sangameshwar Patil , Balaraman Ravindran
          Appeared in Empirical Software Engineering, Vol 25, pp.1341-1378, Jan 2020
  • Rate of change analysis for interestingness measures.  
           Nandan Sudarsanam , Nishanth Kumar , Abhishek Sharma , Balaraman Ravindran
          Appeared in Knowl. Inf. Syst., Vol 62, pp.239-258, Jan 2020

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