| NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning MM Hasan, MA Alam, W Shoombuatong, HW Deng, B Manavalan, ... Briefings in Bioinformatics 22 (6), bbab167, 2021 | 47 | 2021 |
| Prediction of algal chlorophyll-a and water clarity in monsoon-region reservoir using machine learning approaches M Mamun, JJ Kim, MA Alam, KG An Water 12 (1), 30, 2019 | 43 | 2019 |
| Hyperparameter selection in kernel principal component analysis MA Alam, K Fukumizu Journal of Computer Science 10 (7), 1139, 2014 | 34 | 2014 |
| Higher-order regularized kernel canonical correlation analysis M Ashad Alam, K Fukumizu International Journal of Pattern Recognition and Artificial Intelligence 29 …, 2015 | 24 | 2015 |
| Deepm5C: a deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy MM Hasan, S Tsukiyama, JY Cho, H Kurata, MA Alam, X Liu, ... Molecular Therapy 30 (8), 2856-2867, 2022 | 23 | 2022 |
| A kernel machine method for detecting higher order interactions in multimodal datasets: Application to schizophrenia MA Alam, HY Lin, HW Deng, VD Calhoun, YP Wang Journal of neuroscience methods 309, 161-174, 2018 | 23 | 2018 |
| Influence function and robust variant of kernel canonical correlation analysis MA Alam, K Fukumizu, YP Wang Neurocomputing 304, 2-29, 2018 | 18 | 2018 |
| A Comparative Study of Kernel and Robust Canonical Correlation Analysis. AM Alam, M Nasser, K Fukumizu Journal of Multimedia 5 (1), 2010 | 15 | 2010 |
| Sensitivity analysis in robust and kernel canonical correlation analysis MA Alam, M Nasser, K Fukumizu 2008 11th International Conference on Computer and Information Technology …, 2008 | 15 | 2008 |
| Learning schizophrenia imaging genetics data via multiple kernel canonical correlation analysis O Richfield, MA Alam, V Calhoun, YP Wang 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 13 | 2016 |
| Influence function of multiple kernel canonical analysis to identify outliers in imaging genetics data MA Alam, V Calhoun, YP Wang Proceedings of the 7th acm international conference on bioinformatics …, 2016 | 13 | 2016 |
| Higher-order regularized kernel CCA MA Alam, K Fukumizu 2013 12th International Conference on Machine Learning and Applications 1 …, 2013 | 12 | 2013 |
| Kernel Choice for Unsupervised Kernel Methods AM Alam | 11 | 2014 |
| Identifying outliers using multiple kernel canonical correlation analysis with application to imaging genetics MA Alam, VD Calhoun, YP Wang Computational Statistics & Data Analysis 125, 70-85, 2018 | 10 | 2018 |
| PUP-fuse: prediction of protein pupylation sites by integrating multiple sequence representations FN Auliah, AN Nilamyani, W Shoombuatong, MA Alam, MM Hasan, ... International journal of molecular sciences 22 (4), 2120, 2021 | 9 | 2021 |
| Recent development of bioinformatics tools for microRNA target prediction MS Khatun, MA Alam, W Shoombuatong, MNH Mollah, H Kurata, ... Current Medicinal Chemistry 29 (5), 865-880, 2022 | 8 | 2022 |
| Robust kernel canonical correlation analysis to detect gene-gene co-associations: A case study in genetics M Ashad Alam, O Komori, HW Deng, VD Calhoun, YP Wang Journal of bioinformatics and computational biology 17 (04), 1950028, 2019 | 8 | 2019 |
| Effect of sun drying on the composition and shelf life of Goat Meat (Capra aegagrus hircus) MN Islam, MN Alam, MR Amin, DC Roy Res. Pub. J 4 (2), 114-123, 2010 | 8 | 2010 |
| Robust kernel (cross-) covariance operators in reproducing kernel hilbert space toward kernel methods M Alam, K Fukumizu, YP Wang arXiv preprint arXiv:1602.05563, 2016 | 7 | 2016 |
| Robust kernel canonical correlation analysis to detect gene-gene interaction for imaging genetics data MA Alam, O Komori, V Calhoun, YP Wang Proceedings of the 7th ACM International Conference on Bioinformatics …, 2016 | 6 | 2016 |
HONG-WEN DENGtulane universityVerified email at tulane.edu
