A comparison of decision tree and backpropagation neural network classifiers for land use classification. - Mahesh Pal; Paul M. Mather (IGARSS, 2002)

Random forests for land cover classification. - Mahesh Pal (IGARSS, 2003)

Improving the Accuracy of Remote Sensing Classifications. - Mahesh Pal (IICAI, 2003)

Assessment of the effectiveness of support vector machines for hyperspectral data. - Mahesh Pal; Paul M. Mather (Future Gener. Comput. Syst., 2004)

Extreme Learning Machine for land cover classification - Mahesh Pal (CoRR, 2008)

Support Vector classifiers for Land Cover Classification - Mahesh Pal; Paul M. Mather (CoRR, 2008)

Multiclass Approaches for Support Vector Machine Based Land Cover Classification - Mahesh Pal (CoRR, 2008)

Geographic Information Systems in Evaluation and Visualization of Construction Schedule - V. K. Bansal; Mahesh Pal (CoRR, 2008)

Margin-based feature selection for hyperspectral data. - Mahesh Pal (Int. J. Appl. Earth Obs. Geoinformation, 2009)

Application of support vector machines in scour prediction on grade-control structures. - Arun Goel; Mahesh Pal (Eng. Appl. Artif. Intell., 2009)

Feature Selection for Classification of Hyperspectral Data by SVM. - Mahesh Pal; Giles M. Foody (IEEE Trans. Geosci. Remote. Sens., 2010)

Support vector machines/relevance vector machine for remote sensing classification: A review - Mahesh Pal (CoRR, 2011)

Support vector regression based modeling of pier scour using field data. - Mahesh Pal; N. K. Singh; N. K. Tiwari (Eng. Appl. Artif. Intell., 2011)

Multinomial logistic regression-based feature selection for hyperspectral data. - Mahesh Pal (Int. J. Appl. Earth Obs. Geoinformation, 2012)

Evaluation of SVM, RVM and SMLR for Accurate Image Classification With Limited Ground Data. - Mahesh Pal; Giles M. Foody (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012)

Quantity Takeoffs and Detailed Buildings Cost Estimation Using Geographic Information Systems. - V. K. Bansal; Mahesh Pal (Int. J. Inf. Technol. Proj. Manag., 2013)

The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data. - Giles M. Foody; Mahesh Pal; Duccio Rocchini; Carol X. Garzon-Lopez; Lucy Bastin (ISPRS Int. J. Geo Inf., 2016)

Efficient optimization of process parameters in 2.5 D end milling using neural network and genetic algorithm. - Dinesh Kumar; Pankaj Chandna; Mahesh Pal (Int. J. Syst. Assur. Eng. Manag., 2018)

Deep neural network for pier scour prediction. - Mahesh Pal (CoRR, 2019)

Patch Based Land Cover Classification: A Comparison of Deep Learning, SVM and NN Classifiers. - Mahesh Pal; Akshay; Himanshu Rohilla; B. Charan Teja (IGARSS, 2020)

Patch Based Classification of Remote Sensing Data: A Comparison of 2D-CNN, SVM and NN Classifiers. - Mahesh Pal; Akshay; Himanshu Rohilla; B. Charan Teja (CoRR, 2020)

Deep neural network-based predictive modeling of road accidents. - Gyanendra Singh; Mahesh Pal; Yogender Yadav; Tushar Singla (Neural Comput. Appl., 2020)

Effect of Search Methods on Feature Selection with Hyperspectral Data. - Yogender Yadav; Mahesh Pal (IGARSS, 2021)

SAR and Optical data fusion based on Anisotropic Diffusion with PCA and Classification using Patch-based with LBP. - Achala Shakya; Mantosh Biswas; Mahesh Pal (CoRR, 2021)

Fusion and Classification of SAR and Optical Data Using Multi-Image Color Components with Differential Gradients. - Achala Shakya; Mantosh Biswas; Mahesh Pal (Remote. Sens., 2023)