Md. Ashad Alam

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 15

Top Topics

Feature Representation

Kernel Canonical Correlation Analysis

Top Venues

Int. J. Pattern Recognit. Artif. Intell.

Briefings Bioinform.

Publications

Md. Mostafizer Rahman, Ariful Islam Shiplu, Yutaka Watanobe, Md. Ashad Alam
RoBERTa-BiLSTM: A Context-Aware Hybrid Model for Sentiment Analysis. CoRR (2024)
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 (2022)
Biplab Biswas, Nishith Kumar, Md. Aminul Hoque, Md. Ashad Alam
Weighted Scaling Approach for Metabolomics Data Analysis. CoRR (2022)
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)
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 (2021)
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) (2021)
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 (2020)
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) (2019)
Md. Ashad Alam, Mohammad Shahjama, Md. Ferdush Rahman
Gene Shaving using influence function of a kernel method. CoRR (2018)
Md. Siraj-Ud-Doula, Md. Ashad Alam
Ecological Data Analysis Based on Machine Learning Algorithms. CoRR (2018)
Md. Ashad Alam, Kenji Fukumizu, Yu-Ping Wang
Influence function and robust variant of kernel canonical correlation analysis. Neurocomputing 304 (2018)
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 (2018)
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)
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)
Owen Richfield, Md. Ashad Alam, Vince D. Calhoun, Yu-Ping Wang
Learning schizophrenia imaging genetics data via Multiple Kernel Canonical Correlation Analysis. BIBM (2016)
Md. Ashad Alam, Kenji Fukumizu
Higher-Order Regularized Kernel Canonical Correlation Analysis. Int. J. Pattern Recognit. Artif. Intell. 29 (4) (2015)
Md. Ashad Alam, Kenji Fukumizu
Hyperparameter Selection in Kernel Principal Component Analysis. J. Comput. Sci. 10 (7) (2014)
Md. Ashad Alam, Kenji Fukumizu
Higher-Order Regularized Kernel CCA. ICMLA (1) (2013)
Md. Ashad Alam, Mohammed Nasser, Kenji Fukumizu
A Comparative Study of Kernel and Robust Canonical Correlation Analysis. J. Multim. 5 (1) (2010)