Modeling uncertain data using Monte Carlo integration method for clustering. - Krishna Kumar Sharma; Ayan Seal (Expert Syst. Appl., 2019)

Clustering analysis using an adaptive fused distance. - Krishna Kumar Sharma; Ayan Seal (Eng. Appl. Artif. Intell., 2020)

Clustering Uncertain Data Objects Using Jeffreys-Divergence and Maximum Bipartite Matching Based Similarity Measure. - Krishna Kumar Sharma; Ayan Seal; Anis Yazidi; Ali Selamat; Ondrej Krejcar (IEEE Access, 2021)

Spectral embedded generalized mean based k-nearest neighbors clustering with S-distance. - Krishna Kumar Sharma; Ayan Seal (Expert Syst. Appl., 2021)

Multi-view spectral clustering for uncertain objects. - Krishna Kumar Sharma; Ayan Seal (Inf. Sci., 2021)

Outlier-robust multi-view clustering for uncertain data. - Krishna Kumar Sharma; Ayan Seal (Knowl. Based Syst., 2021)

An Enhanced Spectral Clustering Algorithm with S-Distance. - Krishna Kumar Sharma; Ayan Seal; Enrique Herrera-Viedma; Ondrej Krejcar (Symmetry, 2021)

A New Adaptive Mixture Distance-Based Improved Density Peaks Clustering for Gearbox Fault Diagnosis. - Krishna Kumar Sharma; Ayan Seal; Anis Yazidi; Ondrej Krejcar (IEEE Trans. Instrum. Meas., 2022)

S-Divergence-Based Internal Clustering Validation Index. - Krishna Kumar Sharma; Ayan Seal; Anis Yazidi; Ondrej Krejcar (Int. J. Interact. Multim. Artif. Intell., 2023)

Patient centric trustworthy AI in medical analysis and disease prediction: A Comprehensive survey and taxonomy. - Avaneesh Singh; Krishna Kumar Sharma; Manish Kumar Bajpai; Antonio Sarasa-Cabezuelo (Appl. Soft Comput., 2024)

Scalable Multiview Clustering through Consistency Fusion of Shared Bipartite Graphs. - Shalini; Avaneesh Singh; Krishna Kumar Sharma; Ayan Seal (Knowl. Based Syst., 2025)