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JoJournals

1 S. Chatterjee, M. Bhattacharyya, Judgment Analysis of Crowdsourced Opinions using Biclustering", Information Sciences, 375:138-154, 2017, DOI: 10.1016/j.ins.2016.09.036. (Latest IF: 8.2) [SCI Indexed] 

2. S. Chatterjee, A. Mukhopadhyay, M. Bhattacharyya, "Dependent Judgment Analysis: A Markov Chain based Approach for Aggregating Crowdsourced Opinions", Information Sciences,396:83-96, 2017, DOI: 10.1016/j.ins.2017.01.036. (Latest IF: 8.2) [SCI Indexed]

3. S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, Constrained Crowd Judgment Analysis", ACM SIGWEB NEWSLETTER, Autumn, 2017.

4. S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, A Weighted Rank Aggregation Approach towards Crowd Opinion Analysis, Knowledge-based Systems, 149:47-60, DOI: 10.1016/j.knosys.2018.02.005, 2018 (Latest IF: 8.0) [SCI Indexed]

5. S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, A Review of Judgment Analysis Algorithms for Crowdsourced Opinions, IEEE Transactions on Knowledge and Data Engineering, In Press. 2020 (Latest IF: 9.2) [SCI Indexed]

6. S. Chatterjee and M. Bhattacharyya, Scalable Human Decision Making with Crowdsourcing", The Brunswik Society Newsletter, 34, pp. 7-9, November, 2019 (ISSN: 2296-9926).

7. S. Mridha and B. Sarkar and S. Chatterjee and M. Bhattacharyya, ViSSa: Recognizing the Appropriateness of Videos on Social Media with On-demand Crowdsourcing", Information Processing & Management , 2020 (Latest IF: 7.2) [SCI Indexed].

8. S. Chatterjee and S. Lim: A Multi-objective Differential Evolutionary Method for Constrained Crowd Judgment Analysis., IEEE Access , 2020 (Latest IF: 3.36) [SCIE Indexed].

9. N. Pasquier and S. Chatterjee Customer Choice Modelling: A Multi-Level Consensus Clustering Approach In Annals of Emerging Technologies in Computing, 5(2):103-120, International Association for Educators and Researchers (IAER), April 2021, DOI 10.33166/AETiC.2021.02.009[Scopus Indexed].

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