7 citations · 14 across the 19 of their papers we have counts for
19 papers
Neurosymbolic Alignment for Physiologically-Safe Clinical Language Models
Abdulhady Abas Abdullah, Erik Cambria, Milena Zivkovic
Clinical LLMs can generate recommendations that are factually plausible yet physiologically unsafe. We investigate whether safety alignment can be improved by grounding preference…
TUR-DPO: Topology- and Uncertainty-Aware Direct Preference Optimization
Abdulhady Abas Abdullah, Fatemeh Daneshfar, Seyedali Mirjalili +1
Aligning large language models (LLMs) with human preferences is commonly done via reinforcement learning from human feedback (RLHF) with Proximal Policy Optimization (PPO) or, more…
BiCLIP: Bidirectional and Consistent Language-Image Processing for Robust Medical Image Segmentation
Saivan Talaei, Fatemeh Daneshfar, Abdulhady Abas Abdullah +2
Medical image segmentation is a cornerstone of computer-assisted diagnosis and treatment planning. While recent multimodal vision-language models have shown promise in enhancing se…
KurdSTS: The Kurdish Semantic Textual Similarity
Abdulhady Abas Abdullah, Hadi Veisi, Hussein M. Al
Semantic Textual Similarity (STS) measures the degree of meaning overlap between two texts and underpins many NLP tasks. While extensive resources exist for high-resource languages…
Evolution of meta's llama models and parameter-efficient fine-tuning of large language models: a survey
Abdulhady Abas Abdullah, Arkaitz Zubiaga, Seyedali Mirjalili +5
This review surveys the rapid evolution of Meta AI's LLaMA (Large Language Model Meta AI) series - from LLaMA 1 through LLaMA 4 and the specialized parameter-efficient fine-tuning…
KuBERT: Central Kurdish BERT Model and Its Application for Sentiment Analysis
Kozhin muhealddin Awlla, Hadi Veisi, Abdulhady Abas Abdullah
This paper enhances the study of sentiment analysis for the Central Kurdish language by integrating the Bidirectional Encoder Representations from Transformers (BERT) into Natural…
The Role of Orthographic Consistency in Multilingual Embedding Models for Text Classification in Arabic-Script Languages
Abdulhady Abas Abdullah, Amir H. Gandomi, Tarik A Rashid +4
In natural language processing, multilingual models like mBERT and XLM-RoBERTa promise broad coverage but often struggle with languages that share a script yet differ in orthograph…
From Dialect Gaps to Identity Maps: Tackling Variability in Speaker Verification
Abdulhady Abas Abdullah, Soran Badawi, Dana A. Abdullah +1
The complexity and difficulties of Kurdish speaker detection among its several dialects are investigated in this work. Because of its great phonetic and lexical differences, Kurdis…
Video Forgery Detection for Surveillance Cameras: A Review
Noor B. Tayfor, Tarik A. Rashid, Shko M. Qader +14
The widespread availability of video recording through smartphones and digital devices has made video-based evidence more accessible than ever. Surveillance footage plays a crucial…
Speaker Diarization for Low-Resource Languages Through Wav2vec Fine-Tuning
Abdulhady Abas Abdullah, Sarkhel H. Taher Karim, Sara Azad Ahmed +2
Speaker diarization is a fundamental task in speech processing that involves dividing an audio stream by speaker. Although state-of-the-art models have advanced performance in high…
Effect of Information Technology on Job Creation to Support Economic: Case Studies of Graduates in Universities (2023-2024) of the KRG of Iraq
Azhi Kh. Bapir, Ismail Y. Maolood, Dana A Abdullah +2
The aim of this study is to assess the impact of information technology (IT) on university graduates in terms of employment development, which will aid in economic issues. This stu…
A novel Facial Recognition technique with Focusing on Masked Faces
Dana A Abdullah, Dana Rasul Hamad, Ismail Y. Maolood +6
Recognizing the same faces with and without masks is important for ensuring consistent identification in security, access control, and public safety. This capability is crucial in…
Elevating Information System Performance: A Deep Dive into Quality Metrics
Dana A Abdullah, Hewir A. Khidir, Ismail Y. Maolood +6
In today's digital age, information systems (IS) are indispensable tools for organizations of all sizes. The quality of these systems, encompassing system, information, and service…
NER- RoBERTa: Fine-Tuning RoBERTa for Named Entity Recognition (NER) within low-resource languages
Abdulhady Abas Abdullah, Srwa Hasan Abdulla, Dalia Mohammad Toufiq +8
Nowadays, Natural Language Processing (NLP) is an important tool for most people's daily life routines, ranging from understanding speech, translation, named entity recognition (NE…
End-to-End Transformer-based Automatic Speech Recognition for Northern Kurdish: A Pioneering Approach
Abdulhady Abas Abdullah, Shima Tabibian, Hadi Veisi +2
Automatic Speech Recognition (ASR) for low-resource languages remains a challenging task due to limited training data. This paper introduces a comprehensive study exploring the eff…
Enhancing Kurdish Text-to-Speech with Native Corpus Training: A High-Quality WaveGlow Vocoder Approach
Abdulhady Abas Abdullah, Sabat Salih Muhamad, Hadi Veisi
The ability to synthesize spoken language from text has greatly facilitated access to digital content with the advances in text-to-speech technology. However, effective TTS develop…
Optimizing Feature Selection with Genetic Algorithms: A Review of Methods and Applications
Zhila Yaseen Taha, Abdulhady Abas Abdullah, Tarik A. Rashid
Analyzing large datasets to select optimal features is one of the most important research areas in machine learning and data mining. This feature selection procedure involves dimen…
Advanced Clustering Techniques for Speech Signal Enhancement: A Review and Metanalysis of Fuzzy C-Means, K-Means, and Kernel Fuzzy C-Means Methods
Abdulhady Abas Abdullah, Aram Mahmood Ahmed, Tarik Rashid +1
Speech signal processing is a cornerstone of modern communication technologies, tasked with improving the clarity and comprehensibility of audio data in noisy environments. The pri…
Breaking Walls: Pioneering Automatic Speech Recognition for Central Kurdish: End-to-End Transformer Paradigm
Abdulhady Abas Abdullah, Hadi Veisi, Tarik Rashid
End-to-end transformer-based models epitomize the cutting-edge in Automatic Speech Recognition (ASR) systems. Despite their substantial benefits, these models demand extensive trai…