Abdullah Alchihabi

According to our database, Abdullah Alchihabi authored at least 13 papers between 2017 and 2024.

Collaborative distances:

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

2024

Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification.

Marzi Heidari, Abdullah Alchihabi, Qing En, Yuhong Guo

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning.

Abdullah Alchihabi, Marzi Heidari, Yuhong Guo

CoRR, 2023

GDM: Dual Mixup for Graph Classification with Limited Supervision.

Abdullah Alchihabi, Yuhong Guo

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Efficient Low-Rank GNN Defense Against Structural Attacks.

Abdullah Alchihabi, Qing En, Yuhong Guo

Proceedings of the IEEE International Conference on Knowledge Graph, 2023

Learning Robust Graph Neural Networks with Limited Supervision.

Abdullah Alchihabi, Yuhong Guo

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

Analyzing Complex Problem Solving by Dynamic Brain Networks.

Abdullah Alchihabi, Omer Ekmekci, Baran Baris Kivilcim, Sharlene D. Newman, Fatos T. Yarman-Vural

Frontiers Neuroinformatics, 2021

Dual GNNs: Graph Neural Network Learning with Limited Supervision.

Abdullah Alchihabi, Yuhong Guo

CoRR, 2021

2019

A generic framework for optimizing performance metrics by tuning parameters of clustering protocols in WSNs.

Abdullah Alchihabi, Ates Dervis, Enver Ever, Fadi Al-Turjman

Wirel. Networks, 2019

2018

A Two-Tier Distributed Fuzzy Logic Based Protocol for Efficient Data Aggregation in Multihop Wireless Sensor Networks.

Seyyit Alper Sert, Abdullah Alchihabi, Adnan Yazici

IEEE Trans. Fuzzy Syst., 2018

On the Brain Networks of Complex Problem Solving.

Abdullah Alchihabi, Omer Ekmekci, Baran B. Kivilicim, Sharlene D. Newman, Fatos T. Yarman-Vural

CoRR, 2018

Decoding cognitive subtasks of complex problem solving using fMRI signals.

Abdullah Alchihabi, Baran B. Kivilicim, Omer Ekmekci, Sharlene D. Newman, Fatos T. Yarman-Vural

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

A dynamic network representation of fMRI for modeling and analyzing the problem solving task.

Abdullah Alchihabi, Baran B. Kivilicim, Sharlene D. Newman, Fatos T. Yarman-Vural

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning.

Arash Rahnama, Abdullah Alchihabi, Vijay Gupta, Panos J. Antsaklis, Fatos T. Yarman-Vural

Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017