no code implementations • 8 Mar 2024 • Alexander Marrapese, Basem Suleiman, Imdad Ullah, Juno Kim
In this paper, we propose a novel framework for evaluating the nuanced conversation abilities of LLMs.
no code implementations • 2 Dec 2023 • Yuanzhe Jia, Ali Anaissi, Basem Suleiman
Stock prices forecasting has always been a challenging task.
1 code implementation • 23 Mar 2022 • Xiao Liu, Bonan Gao, Basem Suleiman, Han You, Zisu Ma, Yu Liu, Ali Anaissi
Recommender systems have been successfully used in many domains with the help of machine learning algorithms.
no code implementations • 4 Nov 2021 • Ali Anaissi, Basem Suleiman, Seid Miad Zandavi
Our approach is based on stochastic gradient descent (SGD) algorithm which allows us to parallelize the learning process and it is very useful in online setting since it updates $\mathcal{X}^{t+1}$ in one single step.
no code implementations • 4 Nov 2021 • Ali Anaissi, Basem Suleiman
Federated Learning (FL) has recently emerged as a promising method that employs a distributed learning model structure to overcome data privacy and transmission issues paused by central machine learning models.
no code implementations • 20 Jul 2021 • Waheeb Yaqub, Manoranjan Mohanty, Basem Suleiman
The proposed image-hashing-based system can detect the student's excessive face and body movement (i. e., anomalies) that is resulted when the student tries to cheat in the exam.
no code implementations • 18 Mar 2020 • Ali Anaissi, Basem Suleiman, Seid Miad Zandavi
Multi-way data analysis has become an essential tool for capturing underlying structures in higher-order datasets stored in tensor $\mathcal{X} \in \mathbb{R} ^{I_1 \times \dots \times I_N} $.
no code implementations • 10 Mar 2020 • Ali Anaissi, Basem Suleiman, Seid Miad Zandavi
The online analysis of multi-way data stored in a tensor $\mathcal{X} \in \mathbb{R} ^{I_1 \times \dots \times I_N} $ has become an essential tool for capturing the underlying structures and extracting the sensitive features which can be used to learn a predictive model.