Sarwan Ali

Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences.

[BibT_eX]

[DOI]

Pin-Yu Chen

Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

A New Direction in Membranolytic Anticancer Peptides classification: Combining Spaced k-mers with Chaos Game Representation.

[BibT_eX]

[DOI]

Taslim Murad

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

Information We Can Extract About a User from 'One Minute Mobile Application Usage'.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2023, 2023

Empowering Pandemic Response with Federated Learning for Protein Sequence Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

PCD2Vec: A Poisson Correction Distance Based Approach for Viral Host Classification.

[BibT_eX]

[DOI]

Taslim Murad

Proceedings of the International Joint Conference on Neural Networks, 2023

T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 2023

When Biology has Chemistry: Solubility And Drug Subcategory Prediction using SMILES Strings.

[BibT_eX]

[DOI]

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Robust Brain Age Estimation via Regression Models and MRI-Derived Features.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Collective Intelligence, 2023

Counterfactually Guided Policy Transfer in Clinical Settings.

[BibT_eX]

[DOI]

Proceedings of the Conference on Health, Inference, and Learning, 2023

Circular Arc Length-Based Kernel Matrix For Protein Sequence Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Efficient analysis of COVID-19 clinical data using machine learning models.

[BibT_eX]

[DOI]

Yijing Zhou

Medical Biol. Eng. Comput., 2022

Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence Classification.

[BibT_eX]

[DOI]

Bikram Sahoo

Alexander Zelikovskiy

Pin-Yu Chen

CoRR, 2022

PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences.

[BibT_eX]

[DOI]

CoRR, 2022

PSSM2Vec: A Compact Alignment-Free Embedding Approach for Coronavirus Spike Sequence Classification.

[BibT_eX]

[DOI]

Taslim Murad

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Spike2Signal: Classifying Coronavirus Spike Sequences with Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Eighth IEEE International Conference on Big Data Computing Service and Applications, 2022

Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Efficient Data Analytics on Augmented Similarity Triplets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence Classification.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Predicting Attributes of Nodes Using Network Structure.

[BibT_eX]

[DOI]

Muhammad Haroon Shakeel

Imdadullah Khan

Safiullah Faizullah

Muhammad Asad Khan

ACM Trans. Intell. Syst. Technol., 2021

Simpler and Faster Development of Tumor Phylogeny Pipelines.

[BibT_eX]

[DOI]

Simone Ciccolella

Lorenzo Lucarella

Gianluca Della Vedova

J. Comput. Biol., 2021

Classifying COVID-19 Spike Sequences from Geographic Location Using Deep Learning.

[BibT_eX]

[DOI]

Babatunde Bello

CoRR, 2021

Locally Weighted Mean Phase Angle (LWMPA) Based Tone Mapping Quality Index (TMQI-3).

[BibT_eX]

[DOI]

Inaam Ul Hassan

Abdul Haseeb

CoRR, 2021

Effective and scalable clustering of SARS-CoV-2 sequences.

[BibT_eX]

[DOI]

CoRR, 2021

Cache Replacement Algorithm.

[BibT_eX]

[DOI]

CoRR, 2021

Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 Variants.

[BibT_eX]

[DOI]

Zahra Tayebi

Algorithms, 2021

A k-mer Based Approach for SARS-CoV-2 Variant Identification.

[BibT_eX]

[DOI]

Bikram Sahoo

Naimat Ullah

Alexander Zelikovskiy

Imdadullah Khan

Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

Clustering SARS-CoV-2 Variants from Raw High-Throughput Sequencing Reads Data.

[BibT_eX]

[DOI]

Simone Ciccolella

Gianluca Della Vedova

Proceedings of the Computational Advances in Bio and Medical Sciences: 11th International Conference, 2021

Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences.

[BibT_eX]

[DOI]