Mrinal Kanti Das

Publications

1. Automatic categorization of medical documents in Afaan Oromo using ensemble machine learning techniques.
   Etana Fikadu, Mrinal Das, Teklu Urgesa.
   Springer Nature Discover Applied Sciences, Vol 6, 2024.
   

2. Bottlenecked Backpropagation to Train Differentially Private Deep Neural Networks.
   Arghyadeep Ghosh and Mrinal Das
   27th European Conference on Artificial Intelligence (ECAI), 2024.

3. AI-based disease category prediction model using symptoms from low-resource Ethiopian language: Afaan Oromo text.
   Etana Fikadu, Mrinal Das, Teklu Urgesa.
   Nature Scientific Reports, volume 14, Article number: 11233, 2024.

4. Catch them Unattentive: An Orientation Aware Face Recognition Model.
   Muhammed Favaz, Mrinal Das
   IEEE International Conference on Image Processing (ICIP) 2024.

5. Human Guided Multi-Proportions Topic Model for Rare Event Detection without using Labels.
   Mrinal Das, Gaurav Jain
   Intelligent Systems Conference (IntelliSys) 2024.

6. Learning with Domain Knowledge to Develop Justifiable Convolution Networks
   Rimmon Bhosale, Mrinal Das.
   Asian Conference on Machine Learning (ACML), 2022.
   

7. Weight-Agnostic Hierarchical Stick-Breaking Process.
   Mrinal Das, Chiranjib Bhattacharyya.
   IEEE International Conference on Big Knowledge (ICBK), 2018.
   

8. Efficient differentially private learning improves drug sensitivity prediction.
   Antti Honkela(1), Mrinal Das(1), Arttu Nieminen, Onur Dikmen, Samuel Kaski.
   Biology Direct, 2018
   (1) These authors contributed equally to this work.

9. SOPER: Discovering the influence of fashion and the many faces of User from Session logs using Stick Breaking Process.
   Lucky Dhakad, Mrinal Das, Chiranjib Bhattacharyya, Samik Datta, Mihir Kale, Vivek Mehta.
   International Conference on Information and Knowledge Management (CIKM), 2017.

10. SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications.
    Isabelle Augenstein, Mrinal Das, Sebastian Riedel, Lakshmi Vikraman, Andrew McCallum.
    International Workshop on Semantic Evaluation, 2017.

11. Efficient differentially private learning.
    Antti Honkela(1), Mrinal Das(1), Onur Dikmen, Samuel Kaski.
    Theory and Practice of Differential Privacy WS at ICML 2016.
    (1) These authors contributed equally to this work.

12. Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models.
    Mrinal Das, Trapit Bansal, Chiranjib Bhattacharyya.
    International Conference on Machine Learning (ICML), 2015.

13. Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles.
    Trapit Bansal, Mrinal Das, Chiranjib Bhattacharyya.
    The ACM Conference Series on Recommender Systems (RecSys), 2015.

14. Relating Romanized Comments to News Articles by Inferring Multi-glyphic Topical Correspondence.
    Goutham Tholpadi, Mrinal Das, Trapit Bansal, Chiranjib Bhattacharyya.
    Association for the Advancement of Artificial Intelligence Conference (AAAI), 2015.

15. Going beyond Corr-LDA for Detecting Specific Comments on News & Blogs.
    Mrinal Das, Trapit Bansal, Chiranjib Bhattacharyya.
    ACM Conference on Web Search and Data Mining (WSDM), 2014.

    1. Recipient of travel award from Google and Yahoo!.

16. Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically.
    Mrinal Das, Suparna Bhattacharya, Chiranjib Bhattacharyya, K. Gopinath.
    International Conference on Machine Learning (ICML), 2013.

    1. Recipient of travel award from Google and Yahoo!.

17. Cluster Labeling for Multilingual Scatter/Gather in Resource-scarce Languages.
    Goutham Tholpadi, Mrinal Das, Chiranjib Bhattacharyya, Shirish Shevade.
    European Conference on Information Retrieval (ECIR), 2012

18. Learning Dirichlet Processes from Partially Observed Groups.
    Avinava Dubey, Indrajit Bhattacharya, Mrinal Das, Tanveer Faruquie, Chiranjib Bhattacharyya.
    International Conference on Data Mining (ICDM), 2011

19. Non-dominated Rank based Sorting Genetic Algorithms.
    Ashish Ghosh, Mrinal Kanti Das.
    Journal of Fundamenta Informaticae, volume 83, number 3, pages 231-252, 2008.

Archived

1. Method and System for Legal Documents Categorization using Flexible Topic Modeling.
   Mrinal Das, Chiranjib Bhattacharyya, Shirish Shevade. Under patenting process with Infosys.

2. Modeling Statement Context to Surface even Rare Diffused Topics Automatically.
   Suparna Bhattacharya, Mrinal Kanti Das, Chiranjib Bhattacharyya, K. Gopinath.
   Tech report, 2012-3, CSA, Indian Institute of Science, Bangalore, India, 2012.