153 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Zayed UniversityAE3 papers
- Mohamed bin Zayed University of Artificial IntelligenceAE2 papers
- United Arab Emirates UniversityAE2 papers
- Université Paris CitéFR2 papers
- University of Illinois Urbana-ChampaignUS2 papers
- University of TorontoCA2 papers
- Arizona State UniversityUS1 paper
- Australian National UniversityAU1 paper
- Ben-Gurion University of the NegevIL1 paper
- Boğaziçi UniversityTR1 paper
- Brandenburg University of Technology Cottbus-SenftenbergDE1 paper
- Brown UniversityUS1 paper
15 papers
Teaching with AI: A Systematic Review of Chatbots, Generative Tools, and Tutoring Systems in Programming Education
Said Elnaffar, Farzad Rashidi, Abedallah Zaid Abualkishik
This review examines the role of artificial intelligence (AI) agents in programming education, focusing on how these tools are being integrated into educational practice and their…
Can Large Language Models Bridge the Gap in Environmental Knowledge?
Linda Smail, David Santandreu Calonge, Firuz Kamalov +1
This research investigates the potential of Artificial Intelligence (AI) models to bridge the knowledge gap in environmental education among university students. By focusing on pro…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1168
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
A Novel Multimodal System to Predict Agitation in People with Dementia Within Clinical Settings: A Proof of Concept
Abeer Badawi, Somayya Elmoghazy, Samira Choudhury +3
Dementia is a neurodegenerative condition that combines several diseases and impacts millions around the world and those around them. Although cognitive impairment is profoundly di…
Numerical computing in engineering mathematics
Firuz Kamalov, Ho-Hon Leung
The rapid advances in technology over the last decade have significantly altered the nature of engineering knowledge and skills required in the modern industries. In response to th…
Kernel density estimation-based sampling for neural network classification
Firuz Kamalov, Ashraf Elnagar
Imbalanced data occurs in a wide range of scenarios. The skewed distribution of the target variable elicits bias in machine learning algorithms. One of the popular methods to comba…
Feature selection for intrusion detection systems
Firuz Kamalov, Sherif Moussa, Rita Zgheib +1
In this paper, we analyze existing feature selection methods to identify the key elements of network traffic data that allow intrusion detection. In addition, we propose a new feat…
Stock price forecast with deep learning
Firuz Kamalov, Linda Smail, Ikhlaas Gurrib
In this paper, we compare various approaches to stock price prediction using neural networks. We analyze the performance fully connected, convolutional, and recurrent architectures…
Forecasting with Deep Learning: S&P 500 index
Firuz Kamalov, Linda Smail, Ikhlaas Gurrib
Stock price prediction has been the focus of a large amount of research but an acceptable solution has so far escaped academics. Recent advances in deep learning have motivated res…
Gamma distribution-based sampling for imbalanced data
Firuz Kamalov, Dmitry Denisov
Imbalanced class distribution is a common problem in a number of fields including medical diagnostics, fraud detection, and others. It causes bias in classification algorithms lead…
Cluster Aware Mobility Encounter Dataset Enlargement
Rajarshi Haldar, Salih Safa Bacanli, Moayad Aloqaily +2
The recent emerging fields in data processing and manipulation has facilitated the need for synthetic data generation. This is also valid for mobility encounter dataset generation.…
Forecasting significant stock price changes using neural networks
Firuz Kamalov
Stock price prediction is a rich research topic that has attracted interest from various areas of science. The recent success of machine learning in speech and image recognition ha…
Kernel density estimation based sampling for imbalanced class distribution
Firuz Kamalov
Imbalanced response variable distribution is a common occurrence in data science. In fields such as fraud detection, medical diagnostics, system intrusion detection and many others…
Outlier Detection in High Dimensional Data
Firuz Kamalov, Ho Hon Leung
High-dimensional data poses unique challenges in outlier detection process. Most of the existing algorithms fail to properly address the issues stemming from a large number of feat…
Divided difference operators in equivariant -theory
Ho-Hon Leung
Let be a compact connected Lie group with a maximal torus . Let , be --algebras. We define certain divided difference operators on Kasparov's -…