84 citations · 175 across the 17 of their papers we have counts for
17 papers
AraModernBERT: Transtokenized Initialization and Long-Context Encoder Modeling for Arabic
Omar Elshehy, Omer Nacar, Abdelbasset Djamai +3
Encoder-only transformer models remain widely used for discriminative NLP tasks, yet recent architectural advances have largely focused on English. In this work, we present AraMode…
Abjad-Kids: An Arabic Speech Classification Dataset for Primary Education
Abdul Aziz Snoubara, Baraa Al_Maradni, Haya Al_Naal +4
Speech-based AI educational applications have gained significant interest in recent years, particularly for children. However, children speech research remains limited due to the l…
ASCAT: An Arabic Scientific Corpus and Benchmark for Advanced Translation Evaluation
Serry Sibaee, Khloud Al Jallad, Zineb Yousfi +4
We present ASCAT (Arabic Scientific Corpus for Advanced Translation), a high-quality English-Arabic parallel benchmark corpus designed for scientific translation evaluation constru…
SyriSign: A Parallel Corpus for Arabic Text to Syrian Arabic Sign Language Translation
Mohammad Amer Khalil, Raghad Nahas, Ahmad Nassar +1
Sign language is the primary approach of communication for the Deaf and Hard-of-Hearing (DHH) community. While there are numerous benchmarks for high-resource sign languages, low-r…
Arabic Little STT: Arabic Children Speech Recognition Dataset
Mouhand Alkadri, Dania Desouki, Khloud Al Jallad
The performance of Artificial Intelligence (AI) systems fundamentally depends on high-quality training data. However, low-resource languages like Arabic suffer from severe data sca…
Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks?
Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi
Natural Language Understanding (NLU) is a basic task in Natural Language Processing (NLP). The evaluation of NLU capabilities has become a trending research topic that attracts res…
ArEEG_Words: Dataset for Envisioned Speech Recognition using EEG for Arabic Words
Hazem Darwish, Abdalrahman Al Malah, Khloud Al Jallad +1
Brain-Computer-Interface (BCI) aims to support communication-impaired patients by translating neural signals into speech. A notable research topic in BCI involves Electroencephalog…
ArEEG_Chars: Dataset for Envisioned Speech Recognition using EEG for Arabic Characters
Hazem Darwish, Abdalrahman Al Malah, Khloud Al Jallad +1
Brain-computer interfaces is an important and hot research topic that revolutionize how people interact with the world, especially for individuals with neurological disorders. Whil…
Voting-based Multimodal Automatic Deception Detection
Lana Touma, Mohammad Al Horani, Manar Tailouni +2
Automatic Deception Detection has been a hot research topic for a long time, using machine learning and deep learning to automatically detect deception, brings new light to this ol…
Quran Recitation Recognition using End-to-End Deep Learning
Ahmad Al Harere, Khloud Al Jallad
The Quran is the holy scripture of Islam, and its recitation is an important aspect of the religion. Recognizing the recitation of the Holy Quran automatically is a challenging tas…
Mispronunciation Detection of Basic Quranic Recitation Rules using Deep Learning
Ahmad Al Harere, Khloud Al Jallad
In Islam, readers must apply a set of pronunciation rules called Tajweed rules to recite the Quran in the same way that the angel Jibrael taught the Prophet, Muhammad. The traditio…
Vulnerability Detection Using Two-Stage Deep Learning Models
Mohamed Mjd Alhafi, Mohammad Hammade, Khloud Al Jallad
Application security is an essential part of developing modern software, as lots of attacks depend on vulnerabilities in software. The number of attacks is increasing globally due…
An experimental study in Real-time Facial Emotion Recognition on new 3RL dataset
Rahmeh Abou Zafra, Lana Ahmad Abdullah, Rouaa Alaraj +3
Although real-time facial emotion recognition is a hot topic research domain in the field of human-computer interaction, state-of the-art available datasets still suffer from vario…
FastPacket: Towards Pre-trained Packets Embedding based on FastText for next-generation NIDS
Khloud Al Jallad
New Attacks are increasingly used by attackers everyday but many of them are not detected by Intrusion Detection Systems as most IDS ignore raw packet information and only care abo…
Anomaly detection optimization using big data and deep learning to reduce false-positive
Khloud Al Jallad, Mohamad Aljnidi, Mohammad Said Desouki
Anomaly-based Intrusion Detection System (IDS) has been a hot research topic because of its ability to detect new threats rather than only memorized signatures threats of signature…
Big data analysis and distributed deep learning for next-generation intrusion detection system optimization
Khloud Al Jallad, Mohamad Aljnidi, Mohammad Said Desouki
With the growing use of information technology in all life domains, hacking has become more negatively effective than ever before. Also with developing technologies, attacks number…
ArNLI: Arabic Natural Language Inference for Entailment and Contradiction Detection
Khloud Al Jallad, Nada Ghneim
Natural Language Inference (NLI) is a hot topic research in natural language processing, contradiction detection between sentences is a special case of NLI. This is considered a di…