An automated method for counting and characterizing red blood cells using mathematical morphology. - Pradipta Maji; Ankita Mandal; Madhura Ganguly; Sanjoy Kumar Saha 001 (ICAPR, 2015)

Rough Hypercuboid Based Supervised Regularized Canonical Correlation for Multimodal Data Analysis. - Pradipta Maji; Ankita Mandal (Fundam. Informaticae, 2016)

A Computer Vision Framework for Partitioning of Image-Object Through Graph Theoretical Heuristic Approach. - Sourav Saha 001; Ankita Mandal; Paras Sheth; Harshita Narnoli; Priya Ranjan Sinha Mahapatra (CICBA (2), 2017)

A New Method to Address Singularity Problem in Multimodal Data Analysis. - Ankita Mandal; Pradipta Maji (PReMI, 2017)

Regularization and Shrinkage in Rough Set Based Canonical Correlation Analysis. - Ankita Mandal; Pradipta Maji (IJCRS (1), 2017)

Multimodal Omics Data Integration Using Max Relevance-Max Significance Criterion. - Pradipta Maji; Ankita Mandal (IEEE Trans. Biomed. Eng., 2017)

FaRoC: Fast and Robust Supervised Canonical Correlation Analysis for Multimodal Omics Data. - Ankita Mandal; Pradipta Maji (IEEE Trans. Cybern., 2018)

Good , Neutral or Bad - News Classification. - Aashish Agarwal; Ankita Mandal; Matthias Schaffeld; Fangzheng Ji; Jhiao Zhan; Yiqi Sun; Ahmet Aker (NewsIR@SIGIR, 2019)

CanSuR: a robust method for staining pattern recognition of HEp-2 cell IIF images. - Ankita Mandal; Pradipta Maji (Neural Comput. Appl., 2020)

Faster Region Based Convolutional Neural Network and VGG 16 for Multi-Class Tyre Defect Detection. - Ajinkya Pahinkar; Prajval Mohan; Ankita Mandal; Krishnamoorthy A (ICCCNT, 2021)

Adaptive Generalized Multi-View Canonical Correlation Analysis for Incrementally Update Multiblock Data. - Ankita Mandal; Pradipta Maji (IEEE Trans. Knowl. Data Eng., 2023)

Multiview Regularized Discriminant Canonical Correlation Analysis: Sequential Extraction of Relevant Features From Multiblock Data. - Ankita Mandal; Pradipta Maji (IEEE Trans. Cybern., 2023)

Detection and Classification of Diseases in Rice Crops from Its Leaves by Using Machine Learning Algorithm. - Patrick Ansah; Arup Kumar Mukherjee; Vinh Truong Hoang; Ankita Mandal; Satya Ranjan Dash; Obed Adjei Peprah (OCIT, 2024)