Research

Spatial Machine Learning

  1. Saha, Arkajyoti, Sumanta Basu, and Abhirup Datta. "Random forests for spatially dependent data." Journal of the American Statistical Association (2021): 1-19. DOI

  2. Datta, Abhirup, Arkajyoti Saha, Misti Levy Zamora, Colby Buehler, Lei Hao, Fulizi Xiong, Drew R. Gentner, and Kirsten Koehler. "Statistical field calibration of a low-cost PM2. 5 monitoringnetwork in Baltimore." Atmospheric Environment 242 (2020): 117761. DOI

  3. Saha, Arkajyoti, and Abhirup Datta. "BRISC: bootstrap for rapid inference on spatial covariances." Stat 7, no. 1 (2018): e184. DOI

Statistical Genetics

  1. Saha, Arkajyoti, and Nilanjan Chatterjee. "Integration of individual- and summary-level data from genome-wide association studies." Manuscript under preparation.

  2. Saha, Arkajyoti, Yan Zhang, Xiao Xie and Nilanjan Chatterjee. "Enrichment analysis in genome-wide association studies through modeling of effect-size distribution in relation to annotations and genomic propensity scores." Manuscript under preparation.

Unsupervised Learning

  1. Saha, Arkajyoti, and Swagatam Das. "On the unification of possibilistic fuzzy clustering: Axiomatic development and convergence analysis." Fuzzy Sets and Systems 340 (2018): 73-90. DOI

  2. Saha, Arkajyoti, and Swagatam Das. "Clustering of fuzzy data and simultaneous feature selection: A model selection approach." Fuzzy Sets and Systems 340 (2018): 1-37. DOI

  3. Saha, Arkajyoti, and Swagatam Das. "Stronger convergence results for the center-based fuzzy clustering with convex divergence measure." IEEE transactions on cybernetics 49, no. 12(2018): 4229-4242. DOI

  4. Saha, Arkajyoti, and Swagatam Das. "Axiomatic generalization of the membership degree weighting function for fuzzy C means clustering: Theoretical development and convergence analysis." Information Sciences 408 (2017): 129-145. DOI

  5. Saha, Arkajyoti, and Swagatam Das. "Feature-weighted clustering with inner product induced norm based dissimilarity measures: an optimization perspective." Machine Learning 106, no. 7(2017): 951-992. DOI

  6. Saha, Arkajyoti, and Swagatam Das. "Geometric divergence based fuzzy clustering with strong resilience to noise features." Pattern Recognition Letters 79 (2016): 60-67. DOI

  7. Saha, Arkajyoti, and Swagatam Das. "Optimizing cluster structures with inner product in-duced norm based dissimilarity measures: Theoretical development and convergence analysis." Information Sciences 372 (2016): 796-814. DOI

  8. Saha, Arkajyoti, and Swagatam Das. "Categorical fuzzy k-modes clustering with automated feature weight learning." Neurocomputing 166 (2015): 422-435. DOI

  9. Saha, Arkajyoti, and Swagatam Das. "Automated feature weighting in clustering with separable distances and inner product induced norms - A theoretical generalization." Pattern Recognition Letters 63 (2015): 50-58. DOI