A biclustering approach for crowd judgment analysis. - Sujoy Chatterjee; Malay Bhattacharyya 001 (CODS, 2015)

A Markov Chain based Ensemble Method for Crowdsourced Clustering. - Sujoy Chatterjee; Enakshi Kundu; Anirban Mukhopadhyay 001 (CoRR, 2016)

Consensus of Dependent Opinions. - Sujoy Chatterjee; Anirban Mukhopadhyay 001; Malay Bhattacharyya 001 (CoRR, 2016)

Image Clustering without Ground Truth. - Abhisek Dash; Sujoy Chatterjee; Tripti Prasad; Malay Bhattacharyya 001 (CoRR, 2016)

Smart City Planning with Constrained Crowd Judgment Analysis. - Sujoy Chatterjee; Anirban Mukhopadhyay 001; Malay Bhattacharyya 001 (AAAI Spring Symposia, 2017)

A Probabilistic Approach to Group Decision Making. - Sujoy Chatterjee; Malay Bhattacharyya 001 (CHI Extended Abstracts, 2017)

Genetic Algorithm-Based Matrix Factorization for Missing Value Prediction. - Sujoy Chatterjee; Anirban Mukhopadhyay 001 (CICBA (2), 2017)

Judgment Analysis Based on Crowdsourced Opinions. - Sujoy Chatterjee; Anirban Mukhopadhyay 001; Malay Bhattacharyya 001 (ICDE, 2017)

Identifying Unsafe Videos on Online Public Media using Real-time Crowdsourcing. - Sankar Kumar Mridha; Braznev Sarkar; Sujoy Chatterjee; Malay Bhattacharyya 001 (CoRR, 2017)

Quality Enhancement by Weighted Rank Aggregation of Crowd Opinion. - Sujoy Chatterjee; Anirban Mukhopadhyay 001; Malay Bhattacharyya 001 (CoRR, 2017)

Judgment analysis of crowdsourced opinions using biclustering. - Sujoy Chatterjee; Malay Bhattacharyya 001 (Inf. Sci., 2017)

Dependent judgment analysis: A Markov chain based approach for aggregating crowdsourced opinions. - Sujoy Chatterjee; Anirban Mukhopadhyay 001; Malay Bhattacharyya 001 (Inf. Sci., 2017)

"Constrained crowd judgment analysis" by Sujoy Chatterjee, Anirban Mukhopadhyay and Malay Bhattacharyya with Martin Vesely as coordinator. - Sujoy Chatterjee; Anirban Mukhopadhyay 001; Malay Bhattacharyya 001 (SIGWEB Newsl., 2017)

A Crowd-powered Model for Identifying Negative Citations. - Sujoy Chatterjee (CIKM Workshops, 2018)

Multi-objective Clustering Ensemble for Varying Number of Clusters. - Sujoy Chatterjee; Nicolas Pasquier; Anirban Mukhopadhyay 001 (SITIS, 2018)

A Weighted Rank aggregation approach towards crowd opinion analysis. - Sujoy Chatterjee; Anirban Mukhopadhyay 001; Malay Bhattacharyya 001 (Knowl. Based Syst., 2018)

Decision Making from Multiple Crowd Opinions. - Sujoy Chatterjee (AIKE, 2019)

A Multi-Objective Differential Evolutionary Method for Constrained Crowd Judgment Analysis. - Sujoy Chatterjee; Sung Hoon Lim (IEEE Access, 2020)

Multi-objective Consensus Clustering Framework for Flight Search Recommendation. - Sujoy Chatterjee; Nicolas Pasquier; Simon Nanty; Maria A. Zuluaga (CoRR, 2020)

ViSSa: Recognizing the appropriateness of videos on social media with on-demand crowdsourcing. - Sankar Kumar Mridha; Braznev Sarkar; Sujoy Chatterjee; Malay Bhattacharyya 001 (Inf. Process. Manag., 2020)

A Review of Judgment Analysis Algorithms for Crowdsourced Opinions. - Sujoy Chatterjee; Anirban Mukhopadhyay 001; Malay Bhattacharyya 001 (IEEE Trans. Knowl. Data Eng., 2020)

A Multi-Objective Clustering Ensemble Approach for Crowdsourced Clustering. - Sujoy Chatterjee (CSW@VLDB, 2021)

Recent Advancements in Hyperspectral Face Recognition: A Review. - Samiran Das; Sujoy Chatterjee (ICCCNT, 2022)

A TOPSIS-Inspired Ranking Method Using Constrained Crowd Opinions for Urban Planning. - Sujoy Chatterjee; Sunghoon Lim (Entropy, 2022)

An Autoencoder-based approach for Finding Better Judgment from Crowd Opinions. - Suvra Jyoti Choudhury; Sujoy Chatterjee (ICCCNT, 2023)

Explainable Machine Learning for Crop Recommendation from Agriculture Sensor Data- a New Paradigm. - Samiran Das; Sujoy Chatterjee (ICCCNT, 2023)

Leveraging Graph-Based Deep Learning for Epidemic Modeling. - Deepmala Chakrabarty; Sujoy Chatterjee; Anirban Mukhopadhyay 001 (COMAD/CODS (December), 2024)

Exploring structural components in autoencoder-based data clustering. - Sujoy Chatterjee; Suvra Jyoti Choudhury (Eng. Appl. Artif. Intell., 2025)

Multi-criteria Rank-based Aggregation for Explainable AI. - Sujoy Chatterjee; Everton Romanzini Colombo; Marcos Medeiros Raimundo (CoRR, 2025)