Md. Altaf-Ul-Amin

Orcid: 0000-0001-6250-5133

According to our database1, Md. Altaf-Ul-Amin authored at least 47 papers between 1998 and 2023.

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Bibliography

2023
Learning vector quantized representation for cancer subtypes identification.
Comput. Methods Programs Biomed., June, 2023

Ergonomic Risk Prediction for Awkward Postures From 3D Keypoints Using Deep Learning.
IEEE Access, 2023

Utilizing Contrastive Predictive Coding for the Detection of Epilepsy in EEG Data.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

Investigating Potential Natural Antibiotics Plants Based on Unani Formula Using Supervised Network Analysis and Machine Learning Approach.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder.
CoRR, 2022

Enhancement on Model Interpretability and Sleep Stage Scoring Performance with A Novel Pipeline Based on Deep Neural Network.
CoRR, 2022

A Stochastic Coding Method of EEG Signals for Sleep Stage Classification.
Proceedings of the 35th IEEE International System-on-Chip Conference, 2022

Reconciling of the distances in physical space and latent feature space for complex activity modeling.
Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022

Algorithm Cocktail Approach for Predicting Body Constitution and Bias Recovery.
Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022

Deep Learning-Based Sleep Staging with Acceleration and Heart Rate Data of a Consumer Wearable Device.
Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022

Straightforward Clustering and Identification of Morphological-Level Pancreatic Carcinoma.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022

Feature Extraction and Unsupervised Clustering of Histopathological Images of Pancreatic Cancer Using Information Maximization.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022

Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Hierarchical Categorical Generative Modeling for Multi-omics Cancer Subtyping.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Prediction of Potential Natural Antibiotics based on Jamu Formula Using Machine Learning Approach.
Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

2021
DPClusSBO: An integrated software for clustering of simple and bipartite graphs.
SoftwareX, 2021

Kinematics approach with neural networks for early detection of sepsis (KANNEDS).
BMC Medical Informatics Decis. Mak., 2021

A Real-Time Portable IoT System for Telework Tracking.
Frontiers Digit. Health, 2021

The feasibility of predicting impending malignant ventricular arrhythmias by using nonlinear features of short heartbeat intervals.
Comput. Methods Programs Biomed., 2021

Development of a biomarker database toward performing disease classification and finding disease interrelations.
Database J. Biol. Databases Curation, 2021

Prediction of Body Constitutions through Life-Style for Health Guidance.
Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021

An Approach to Construct and Validate TCM Dataset Effective against Bacterial Pneumonia.
Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021

Feasibility Analysis of Symbolic Representation for Single-Channel EEG-Based Sleep Stages.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Exploring Feasibility of Truth-Involved Automatic Sleep Staging Combined with Transformer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

An Integrated Multi-Omics Approach for AMR Phenotype Prediction of Gut Microbiota.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
BiClusO: A Novel Biclustering Approach and Its Application to Species-VOC Relational Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

iVAE: An Improved Deep Learning Structure for EEG Signal Characterization and Reconstruction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Investigating Metabolic Pathways and Networks.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 3, 2019

A Novel CNN-Based Framework for Classification of Signal Quality and Sleep Position from a Capacitive ECG Measurement.
Sensors, 2019

Classification of alkaloids according to the starting substances of their biosynthetic pathways using graph convolutional neural networks.
BMC Bioinform., 2019

Implementation of BiClusO and its comparison with other biclustering algorithms.
Appl. Netw. Sci., 2019

The Feasibility of Arrhythmias Detection from A Capacitive ECG Measurement Using Convolutional Neural Network.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Inter Disease Relations Based on Human Biomarkers by Network Analysis.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018
Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks.
Int. J. Comput. Assist. Radiol. Surg., 2018

An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease.
BMC Bioinform., 2018

Comparison of BiClusO with Five Different Biclustering Algorithms Using Biological and Synthetic Data.
Proceedings of the Complex Networks and Their Applications VII, 2018

Prediction of Plant-Disease Relations Based on Unani Formulas by Network Analysis.
Proceedings of the 18th IEEE International Conference on Bioinformatics and Bioengineering, 2018

2016
Integrated pathway-based transcription regulation network mining and visualization based on gene expression profiles.
J. Biomed. Informatics, 2016

Finding an appropriate equation to measure similarity between binary vectors: case studies on Indonesian and Japanese herbal medicines.
BMC Bioinform., 2016

2012
PCDq: human protein complex database with quality index which summarizes different levels of evidences of protein complexes predicted from H-Invitational protein-protein interactions integrative dataset.
BMC Syst. Biol., 2012

2010
System Biology Approach for Elucidating the Relationship Between Indonesian Herbal Plants and the Efficacy of Jamu.
Proceedings of the ICDMW 2010, 2010

2006
Development and implementation of an algorithm for detection of protein complexes in large interaction networks.
BMC Bioinform., 2006

2005
Prediction of Protein Functions Based on Protein-Protein Interaction Networks: A Min-Cut Approach.
Proceedings of the 21st International Conference on Data Engineering Workshops, 2005

2001
Design for Hierarchical Two-Pattern Testability of Data Paths.
Proceedings of the 10th Asian Test Symposium (ATS 2001), 19-21 November 2001, Kyoto, Japan, 2001

1999
VHDL Design of a Test Processor Based on Mixed-Mode Test Generation.
Proceedings of the 9th Great Lakes Symposium on VLSI (GLS-VLSI '99), 1999

1998
An Off-Chip Current Sensor for IDDQ Testing of CMOS ICs.
Proceedings of the 7th Asian Test Symposium (ATS '98), 2-4 December 1998, Singapore, 1998


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