Sina Tabakhi

According to our database, Sina Tabakhi authored at least 13 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Missing-Modality-Aware Graph Neural Network for Cancer Classification.

Sina Tabakhi, Haiping Lu

CoRR, June, 2025

Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives.

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

CoRR, April, 2025

Towards deployment-centric multimodal AI beyond vision and language.

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

CoRR, April, 2025

Co-evolution-based Metal-binding Residue Prediction with Graph Neural Networks.

Sayedmohammadreza Rastegari, Sina Tabakhi, Xianyuan Liu, Wei Sang, Haiping Lu

CoRR, February, 2025

Classifying the Stoichiometry of Virus-like Particles with Interpretable Machine Learning.

Jiayang Zhang, Xianyuan Liu, Wei Wu, Sina Tabakhi, Wenrui Fan, Shuo Zhou, Kang Lan Tee, Tuck Seng Wong, Haiping Lu

CoRR, February, 2025

2024

Heterogeneous graph attention network improves cancer multiomics integration.

Sina Tabakhi, Charlotte Vandermeulen, Ian Sudbery, Haiping Lu

CoRR, 2024

Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment.

Prasun C. Tripathi, Sina Tabakhi, Mohammod Naimul Islam Suvon, Lawrence Andrew Schobs, Samer Alabed, Andrew J. Swift, Shuo Zhou, Haiping Lu

CoRR, 2024

2023

Multimodal Learning for Multi-omics: A Survey.

Sina Tabakhi, Mohammod Naimul Islam Suvon, Pegah Ahadian, Haiping Lu

World Sci. Annu. Rev. Artif. Intell., 2023

Universal feature selection tool (UniFeat): An open-source tool for dimensionality reduction.

Sina Tabakhi, Parham Moradi

Neurocomputing, 2023

2022

Multi-agent Feature Selection for Integrative Multi-omics Analysis.

Sina Tabakhi, Haiping Lu

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2015

Relevance-redundancy feature selection based on ant colony optimization.

Sina Tabakhi, Parham Moradi

Pattern Recognit., 2015

Gene selection for microarray data classification using a novel ant colony optimization.

Sina Tabakhi, Ali Najafi, Reza Ranjbar, Parham Moradi

Neurocomputing, 2015

2014

An unsupervised feature selection algorithm based on ant colony optimization.

Sina Tabakhi, Parham Moradi, Fardin Akhlaghian Tab

Eng. Appl. Artif. Intell., 2014