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2020 – today
- 2025
[i8]Jiayang Zhang, Xianyuan Liu, Wei Wu, Sina Tabakhi, Wenrui Fan, Shuo Zhou, Kang Lan Tee, Tuck Seng Wong, Haiping Lu:
Classifying the Stoichiometry of Virus-like Particles with Interpretable Machine Learning. CoRR abs/2502.12049 (2025)- [i7]Sayedmohammadreza Rastegari, Sina Tabakhi, Xianyuan Liu, Wei Sang, Haiping Lu:
Co-evolution-based Metal-binding Residue Prediction with Graph Neural Networks. CoRR abs/2502.16189 (2025) - [i6]Xianyuan Liu, Jiayang Zhang, Shuo Zhou, Thijs L. van der Plas
, Avish Vijayaraghavan, Anastasiia Grishina, Mengdie Zhuang, Daniel Schofield, Christopher Tomlinson, Yuhan Wang, Ruizhe Li, Louisa van Zeeland, Sina Tabakhi, Cyndie Demeocq, Xiang Li, Arunav Das, Orlando Timmerman, Thomas Baldwin-McDonald, Jinge Wu, Peizhen Bai, Zahraa Al Sahili, Omnia Alwazzan, Thao N. Do, Mohammod Naimul Islam Suvon, Angeline Wang, Lucia Cipolina-Kun, Luigi A. Moretti, Lucas Farndale, Nitisha Jain, Natalia Efremova, Yan Ge, Marta Varela, Hak-Keung Lam, Oya Çeliktutan, Ben R. Evans, Alejandro Coca-Castro, Honghan Wu, Zahraa S. Abdallah, Chen Chen, Valentin Danchev, Nataliya Tkachenko, Lei Lu, Tingting Zhu, Gregory G. Slabaugh, Roger K. Moore, William K. Cheung, Peter H. Charlton, Haiping Lu:
Towards deployment-centric multimodal AI beyond vision and language. CoRR abs/2504.03603 (2025) - [i5]Xiaokun Liu, Sayedmohammadreza Rastegari, Yijun Huang, Sxe Chang Cheong, Weikang Liu, Wenjie Zhao, Qihao Tian, Hongming Wang, Shuo Zhou, Yingjie Guo, Sina Tabakhi, Xianyuan Liu, Zheqing Zhu, Wei Sang, Haiping Lu:
Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives. CoRR abs/2504.03847 (2025) - 2024
- [i4]Prasun C. Tripathi, Sina Tabakhi, Mohammod Naimul Islam Suvon, Lawrence Andrew Schobs, Samer Alabed, Andrew J. Swift, Shuo Zhou, Haiping Lu:
Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment. CoRR abs/2404.04718 (2024) - [i3]Sina Tabakhi, Charlotte Vandermeulen, Ian Sudbery, Haiping Lu:
Heterogeneous graph attention network improves cancer multiomics integration. CoRR abs/2408.02845 (2024) - 2023
- [j5]Sina Tabakhi, Parham Moradi:
Universal feature selection tool (UniFeat): An open-source tool for dimensionality reduction. Neurocomputing 535: 156-165 (2023) - [j4]Sina Tabakhi, Mohammod Naimul Islam Suvon, Pegah Ahadian, Haiping Lu:
Multimodal Learning for Multi-omics: A Survey. World Sci. Annu. Rev. Artif. Intell. 1: 2250004:1-2250004:39 (2023) - 2022
- [c1]Sina Tabakhi, Haiping Lu:
Multi-agent Feature Selection for Integrative Multi-omics Analysis. EMBC 2022: 1638-1642 - [i2]Sina Tabakhi, Mohammod Naimul Islam Suvon, Pegah Ahadian, Haiping Lu:
Multimodal Learning for Multi-Omics: A Survey. CoRR abs/2211.16509 (2022) - [i1]Sina Tabakhi, Parham Moradi:
Universal Feature Selection Tool (UniFeat): An Open-Source Tool for Dimensionality Reduction. CoRR abs/2211.16846 (2022)
2010 – 2019
- 2015
- [j3]Sina Tabakhi, Ali Najafi, Reza Ranjbar, Parham Moradi:
Gene selection for microarray data classification using a novel ant colony optimization. Neurocomputing 168: 1024-1036 (2015) - [j2]Sina Tabakhi, Parham Moradi:
Relevance-redundancy feature selection based on ant colony optimization. Pattern Recognit. 48(9): 2798-2811 (2015) - 2014
- [j1]Sina Tabakhi, Parham Moradi, Fardin Akhlaghian Tab:
An unsupervised feature selection algorithm based on ant colony optimization. Eng. Appl. Artif. Intell. 32: 112-123 (2014)
Coauthor Index
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