An aggregative fuzzy risk analysis for flood incident management. - Samiran Das; Rehan Sadiq; Solomon Tesfamariam (Int. J. Syst. Assur. Eng. Manag., 2011)

Noise robust estimation of number of endmembers in a hyperspectral image by Eigenvalue based gap index. - Samiran Das; Aurobinda Routray; Alok Kanti Deb (WHISPERS, 2016)

Graph Manifold Clustering based Band Selection for Hyperspectral Face Recognition. - Shubhobrata Bhattacharya; Samiran Das; Aurobinda Routray (EUSIPCO, 2018)

Combining Pixel Selection with Covariance Similarity Approach in Hyperspectral Face Recognition. - Shubhobrata Bhattacharya; Samiran Das; Sohom Chakraborty; Aurobinda Routray (IECON, 2018)

Fast Semi-Supervised Unmixing of Hyperspectral Image by Mutual Coherence Reduction and Recursive PCA. - Samiran Das; Aurobinda Routray; Alok Kanti Deb (Remote. Sens., 2018)

Fast Linear Unmixing of Hyperspectral Image by Slow Feature Analysis and Simplex Volume Ratio Approach. - Samiran Das; Sohom Chakraborty; Aurobinda Routray; Alok Kanti Deb (IGARSS, 2019)

Band selection of hyperspectral image by sparse manifold clustering. - Samiran Das; Shubhobrata Bhattacharya; Aurobinda Routray; Alok Kanti Deb (IET Image Process., 2019)

Sparsity measure based library aided unmixing of hyperspectral image. - Samiran Das; Aurobinda Routray; Alok Kanti Deb (IET Image Process., 2019)

Covariance Similarity Approach for Semiblind Unmixing of Hyperspectral Image. - Samiran Das; Aurobinda Routray (IEEE Geosci. Remote. Sens. Lett., 2019)

Efficient multichannel EEG compression by optimal tensor truncation. - Samiran Das; Chirag Kyal (Biomed. Signal Process. Control., 2021)

Hyperspectral image, video compression using sparse tucker tensor decomposition. - Samiran Das (IET Image Process., 2021)

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

Sparsity Regularized Deep Subspace Clustering for Multicriterion-Based Hyperspectral Band Selection. - Samiran Das; Sawon Pratiher; Chirag Kyal; Pedram Ghamisi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Hyperspectral Unmixing by Convolutional Auto-encoder with Deep Subspace Clustering and Cadidate Pixel Selection. - Samiran Das (ICCCNT, 2023)

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

Open Geology Database (OGD): An Integrated Platform for Geological, Mining, and Seismic Datasets for Open Research. - Samiran Das; Pedram Ghamisi; Richard Gloaguen (WHISPERS, 2023)

Acritical Comparison of Linear and Nonlinear Unmixing for Intimate Mixtures. - Bikram Koirala; Samiran Das; Behnood Rasti; Pedram Ghamisi; Richard Gloaguen; Paul Scheunders (WHISPERS, 2023)

Enhancing Civil Engineering Education: A Comprehensive Analysis of Student Perspectives on Technology-Integrated Learning. - Samiran Das; Li Hong Idris Lim (EDUCON, 2024)

MineNet-CD: Global Mining Change Detection Dataset. - Weikang Yu; Samiran Das; Aldino Rizaldy; Xiaokang Zhang; Richard Gloaguen; Pedram Ghamisi (IGARSS, 2024)

Enhancing Applied Learning in Civil Engineering: Implementing Project-Based Learning in Hydrological Studies. - Samiran Das; Yongmin Kim; Jolly Atit Shah; Li Hong Idris Lim (TALE, 2024)

Analysis of Project-Based Learning (PBL) Characteristics in Civil Engineering Education. - Yongmin Kim; Samiran Das; Jolly Atit Shah; Li Hong Idris Lim; Chonghun Yeo (TALE, 2024)

MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification. - Weikang Yu; Xiaokang Zhang; Samiran Das; Xiao Xiang Zhu 001; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2024)

On VLMs for Diverse Tasks in Multimodal Meme Classification. - Deepesh Gavit; Debajyoti Mazumder; Samiran Das; Jasabanta Patro (CoRR, 2025)

Employee Attrition Prediction Using Bayesian Optimized Stacked Ensemble Learning and Explainable AI. - Karabi Konar; Saptarshi Das; Samiran Das; Sanjay Misra (SN Comput. Sci., 2025)