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ORCIDMd. Ashad Alam
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2020 – today
- 2024
[i6]Md. Mostafizer Rahman
, Ariful Islam Shiplu, Yutaka Watanobe, Md. Ashad Alam:
RoBERTa-BiLSTM: A Context-Aware Hybrid Model for Sentiment Analysis. CoRR abs/2406.00367 (2024)- 2022
- [i5]Md. Ashad Alam, Hui Shen, Hong-Wen Deng:
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery. CoRR abs/2201.05060 (2022) - [i4]Biplab Biswas, Nishith Kumar, Md. Aminul Hoque, Md. Ashad Alam:
Weighted Scaling Approach for Metabolomics Data Analysis. CoRR abs/2208.00603 (2022) - 2021
- [j9]Md. Mehedi Hasan, Md. Ashad Alam, Watshara Shoombuatong, Hong-Wen Deng, Balachandran Manavalan, Hiroyuki Kurata:
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning. Briefings Bioinform. 22(6) (2021) - [j8]Md. Ashad Alam, Chuan Qiu, Hui Shen, Yu-Ping Wang, Hong-Wen Deng:
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets, with application to adolescent brain development and osteoporosis. J. Biomed. Informatics 120: 103854 (2021) - [j7]Md. Mehedi Hasan, Md. Ashad Alam, Watshara Shoombuatong, Hiroyuki Kurata:
IRC-Fuse: improved and robust prediction of redox-sensitive cysteine by fusing of multiple feature representations. J. Comput. Aided Mol. Des. 35(3): 315-323 (2021) - 2020
- [i3]Md. Ashad Alam, Chuan Qiu, Hui Shen, Yu-Ping Wang, Hong-Wen Deng:
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets. CoRR abs/2004.14031 (2020)
2010 – 2019
- 2019
- [j6]Md. Ashad Alam, Osamu Komori, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang:
Robust kernel canonical correlation analysis to detect gene-gene co-associations: A case study in genetics. J. Bioinform. Comput. Biol. 17(4): 1950028:1-1950028:23 (2019) - 2018
- [j5]Md. Ashad Alam, Vince D. Calhoun, Yu-Ping Wang:
Identifying outliers using multiple kernel canonical correlation analysis with application to imaging genetics. Comput. Stat. Data Anal. 125: 70-85 (2018) - [j4]Md. Ashad Alam, Kenji Fukumizu, Yu-Ping Wang:
Influence function and robust variant of kernel canonical correlation analysis. Neurocomputing 304: 12-29 (2018) - [i2]Md. Ashad Alam, Mohammad Shahjama, Md. Ferdush Rahman:
Gene Shaving using influence function of a kernel method. CoRR abs/1809.01625 (2018) - [i1]Md. Siraj-Ud-Doula, Md. Ashad Alam:
Ecological Data Analysis Based on Machine Learning Algorithms. CoRR abs/1812.09138 (2018) - 2016
- [c4]Md. Ashad Alam, Vince D. Calhoun, Yu-Ping Wang:
Influence Function of Multiple Kernel Canonical Analysis to Identify Outliers in Imaging Genetics Data. BCB 2016: 210-219 - [c3]Md. Ashad Alam, Osamu Komori, Vince D. Calhoun, Yu-Ping Wang:
Robust Kernel Canonical Correlation Analysis to Detect Gene-Gene Interaction for Imaging Genetics Data. BCB 2016: 279-288 - [c2]Owen Richfield, Md. Ashad Alam, Vince D. Calhoun, Yu-Ping Wang:
Learning schizophrenia imaging genetics data via Multiple Kernel Canonical Correlation Analysis. BIBM 2016: 507-511 - 2015
- [j3]Md. Ashad Alam, Kenji Fukumizu:
Higher-Order Regularized Kernel Canonical Correlation Analysis. Int. J. Pattern Recognit. Artif. Intell. 29(4): 1551005:1-1551005:24 (2015) - 2014
- [j2]Md. Ashad Alam, Kenji Fukumizu:
Hyperparameter Selection in Kernel Principal Component Analysis. J. Comput. Sci. 10(7): 1139-1150 (2014) - 2013
- [c1]Md. Ashad Alam, Kenji Fukumizu:
Higher-Order Regularized Kernel CCA. ICMLA (1) 2013: 374-377 - 2010
- [j1]Md. Ashad Alam, Mohammed Nasser, Kenji Fukumizu:
A Comparative Study of Kernel and Robust Canonical Correlation Analysis. J. Multim. 5(1): 3-11 (2010)
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