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PUBLICATIONS

Preprint

Thesis

Journal Articles

International Conference Papers

Preprint

  1.  Alam, M. A., and Deng, H-W.  A generalized kernel machine approach to identify composite effect in multi-view dataset, with application to osteoporosis (Under submission).

  2. Alam, M. A., and Deng, H-W.  Robust Adversarial multiple kernel canonical correlation analysis, with application to Osteoporosis (Under experiment).

Thesis

  1.  Alam, M. A. Kernel Choice for Unsupervised Kernel Methods, a dissertation of Ph.D. (Statistical Science), Department of Statistical Science, The Institute of Statistical Mathematics, The Graduate University of Advanced Studies, Japan, 2014

  2. Alam, M. A. Comparison among Robust and Non-robust Estimators of Correlation Coefficient: A Bootstrap and Influence Function-Based Approach, a dissertation of M.Sc. (Statistics), Department of Statistics, University of Rajshahi, Bangladesh, 2004

Journal Articles

  1. Alam, M. A., Shajaman, M., Rahman F. M., Hossan, F., Deng, H-W.,   Gene Shaving Using A Sensitivity of Kernel-based Machine Learning Approach, with Application to Cancer Data, PLoS ONE, Vol. 14(5): e0217027, 2019

  2. Alam, M. A., Fukumizu, K., and Wang, Y- P., Influence Function and Robust Variant of Kernel Canonical Correlation Analysis, Neurocomputing, Vol. 304, pp. 12-29. 2018

  3. Alam, M. A., Calhoun, D. V., and Wang, Y- P., Identifying Outliers Using Multiple Kernel Canonical Correlation Analysis with Application to Imaging Genetics, Computational Statistics and Data Analysis, Vol. 125, pp. 70—85, 2018

  4. Alam, M. A., Calhoun, D. V., Lin, H-Y., Deng, H-W. and Wang, Y-P., A Kernel Machine Method for Detecting Higher Order Interactions in Multimodal Datasets: Application to Schizophrenia, Journal of Neuroscience Methods, Vol. 309, pp. 161-174, 2018

  5. Mamun M.  Kim J-J, Alam, M. A., and An K-G., Prediction of Algal Chlorophyll-a and Water Clarity in Monsoon-Region Reservoir using Machine Learning Approaches, Water, Vol. 2020, No. 12(1), 30; doi:10.3390/w12010030, 2019.

  6. Alam, M. A., Komori, O., Deng, H-W., Calhoun, D. V., and Wang, Y- P., Robust Kernel Canonical Correlation Analysis to Detect Gene-Gene Co-association: A Genetics Study,  Journal of Bioinformatics and Computational Biology, Vol. 17, No. 4, 1950028 [23 pges], 2019

  7. Siraj-Ud-Doulah, M. and Alam, M. A. Performance Evaluation of Machine Learning Algorithms in Ecological Dataset, International Journal of Applied Mathematics and Machine Learning, 10 (1): pp. 15-45, 2019

  8. Alam, M. A. and Fukumizu, K., Higher-order Regularized Kernel Canonical Correlation Analysis, International Journal of pattern recognition and artificial intelligence, Vol. 29, Issued 04, 1551005[24 pages], June 2015

  9. Shamsuzzoha, M.  Hassanujjaman, M. Islam, M. A. Chowdhury B, A.K. M.M.  Alam, M. A. and Islam, M.S. Antimicrobial Studies of Mixed Ligand Transition Complexes of CU(II) and Cd (II) with Maleic Acid and Heterocyclic Bases, Universal Journal of Applied Science Vol. 3 (3): 31-34, 2015

  10. Hossain S.M.M., Hasan M.M, Alam, M. A., Islam M. M. Study on Epidemiology and Chemical Control of Rhizome Rot Disease of Ginger (Zingiber officinale Rose),  Journal of Science and Technology, Vol. 13, pp. 75-81, 2015

  11.   Alam, M. A.  And Fukumizu, K., Hyperparameter Selection in Kernel Principal Component Analysis, Journal of Computer Science, Vol. 10, No. 7, pp. 1139 -1150, 2014

  12.   Nasser, M. Hamzah, N. A. and Alam, M. A., Qualitative Robustness in Estimation, Pakistan Journal of Statistics and Operation Research, vol. 8, No. 3, pp.  619-634, December 2012

  13.   Alam, M. A.  Nasser, M. and Fukumizu, K.,  A Comparative Study of Kernel and Robust Canonical Correlation Analysis, Journal of Multimedia, Vol. 5, No. 1, pp.  3 – 11, May 2010

  14. Islam, M. N. Alam, M.A. Amin, M.R. and Roy D. C., Effect of Sun Drying on the Composition and Shelf  Life of Goat Meat (Capra aegagrus hircus),  Bangladesh Research Publications Journal, Vol. 4(2) pp. 114-123, 2010

  15.   Alam, M. A.  Nasser, M. and  Imon, A  H. M. R., Sensitivity and Influence Analysis of Estimators of Correlation Coefficients, Journal of Applied Probability and Statistics, Vol. 3,  No. 1,  pp. 119 - 136,  May 2008

  16. Alam, M. A., and Nasser, M., Simulation-Based Comparison among Fifteen Estimators of Correlation Coefficient, International Journal of Statistical Science,  Vol. 8.  pp. 63-74,  November  2008

  17. Hossain M. T., Hasan M. M., Alam, M. A., Khatun A., and Alam M., Efficacy of Hot Water Treatment Device and some fungicides Against Phomopsis vexans of Eggplant, International Journal of BioRes, Vol 4, No, 6, pp. 54-58, 2008

  18. Hosani, S. M. M., Hasan, M.M., Hasan, M.  S., Alam, M. A., Isalm, M. T., Screening of Tomato and Brinjal Against Bacterial Wilt Caused by Ralstonia solanacearum, International Journal of Sustain Agriculture Technology, Vol. 3, No. 1, pp. 13-15, 2007

  19. Alam, M. A., Effects of different estimators of the correlation coefficient, Journal of Business statistics, Southest University, Bangladesh, Vol. II, No. 2, pp. 181-196, 2006

International Conference Papers

  1. Alam M.A., and Wang, Y-P., Generalized Kernel Method for Higher Order Interaction: An Imaging Genetics Analysis (Poster), 28th Annual Health Sciences Research Days 2017, Tulane University, New Orleans, LA, USA 

  2. Alam, M. A., Komori, O., Calhoun, D. V., and Wang, Y-P.,   Robust Kernel Canonical Correlation Analysis to Detect Gene-Gene Interaction for Imaging Genetics Data, BCB’16 Proceeding of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, P. 279-288, Seattle, WA. USA, Oct 02-05, 2016 

  3. Alam, M. A., Calhoun, D. V. and Wang, Y-P.,   Influence Function of Multiple Kernel Canonical Correlation Analysis to Identify Outliers in Imaging Genetics Data, BCB’16 Proceeding of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics,  P. 210-219, Seattle, WA. USA, Oct 02-05, 2016 

  4. Richfield, O., Alam M. A., Calhoun, V.D., and Wang Y-P., Learning Schizophrenia Imaging Genetics Data Via Multiple Kernel Canonical Correlation Analysis, BIBM 2016, Proceeding of the IEEE International Conference on Bioinformatics and Biomedicine, Shenzhen, China, Dec 15- 18, 2016, P. 507-511

  5. Alam, M. A., and Fukumizu, K., Action Recognition for Robots Using Kernel Methods, UST-SOKENDAI Joint Seminar on Computational Sciences, Daejeon, South Korea, July 2014 (Poster). 

  6. Alam, M. A., and Fukumizu, K., Influence function of kernel canonical correlation analysis, Annual open house program, the Institute of Statistical Mathematics, Japan, June 2014 ((Poster) 

  7. Alam, M. A., and Fukumizu, K., Higher-order Regularized Kernel CCA, Proceeding ICMLA ‘13 Proceedings of the 2013, 12th International Conference on Machine Learning and Applications, Vol. 1, pp. 374 - 377, USA, December 2013. 

  8. Alam, M. A. and Fukumizu, K., Kernel and Feature Search in Kernel PCA, The 3rd Asian Conference on Machine Learning, Taoyuan, Taiwan, 2011 (Poster) 

  9. Alam, M. A. and Fukumizu, K., Kernel and Feature Search in Kernel PCA, IEICE Technical Report, Vol. 111, No. 275, pp. 47-56, Japan, November 2011 (Poster) 

  10. Alam, M. A.  Nasser, M. and Fukumizu, K., Sensitivity Analysis in Robust and Kernel Canonical Correlation Analysis, Proceedings of 11th International Conference on Computer and Information Technology (ICCIT2008), pp.  399 - 404, Bangladesh, December 2008

  11.  Alamgir Kabir, A.Y.M.  Nasser, M.  and Alam, M. A., A Study on Two New Robust Estimators of Canonical Correlation Coefficient, Proceedings of International Conference on recent development in Statistical Science, 2008, Bangladesh, pp. 241-247

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