Abedalrhman Alkhateeb

22 papers C 1Journal 11Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AE-CTGAN: Autoencoder-Conditional Tabular GAN for Multi-Omics Imbalanced Class Handling and Cancer Outcome Prediction. Algorithms Ibrahim Al-Hurani, Sara H. ElFar, Abedalrhman Alkhateeb, Salama Ikki
2026	J	`jnl`	Graphsage-based approach for age-specific multi-omics biomarker identification in bladder cancer. Netw. Model. Anal. Health Informatics Bioinform. Usman Fakhar, Mohammad Elshafie, Abedalrhman Alkhateeb
2025	J	`jnl`	Correction: Software effort estimation using convolutional neural network and fuzzy clustering. Neural Comput. Appl. Mohammad Azzeh, Abedalrhman Alkhateeb, Ali Bou Nassif
2025	—	`conf`	Explainable AI for Clinical Decision-Making: Unlocking the Potential of MSI Thresholds in Bladder Cancer. IWBBIO (2) Amro Sayed Ahmad, Firas Alghanim, Bashier Elkarami, Mousa AbuGhosh, Hazem Qattous, Abedalrhman Alkhateeb
2025	—	`conf`	Machine Learning Models for Assessing Depression in Syrian Adolescent Refugees in Jordan. IWBBIO (2) Rand Habashneh, Hazem Qattous, Malek M. Alsmadi, Abedalrhman Alkhateeb
2025	J	`jnl`	Two-stage object detection in low-light environments using deep learning image enhancement. PeerJ Comput. Sci. Ghaith Al-Refai, Hisham ElMoaqet, Abdullah Al-Refai, Ahmad AlZu'bi, Tawfik Al Hadhrami, Abedalrhman Alkhateeb
2024	J	`jnl`	An Autoencoder and Generative Adversarial Networks Approach for Multi-Omics Data Imbalanced Class Handling and Classification. CoRR Ibrahim Al-Hurani, Abedalrhman Alkhateeb, Salama Ikki
2024	—	`conf`	Machine Learning Model for Anxiety Disorder Diagnosis Based on Sensory Time-Series Data. IWBBIO (1) Usman Fakhar, Malek M. Alsmadi, Abedalrhman Alkhateeb
2024	J	`jnl`	Machine Learning Model for Multiomics Biomarkers Identification for Menopause Status in Breast Cancer. Algorithms Firas Alghanim, Ibrahim Al-Hurani, Hazem Qattous, Abdullah Al-Refai, Osamah Batiha, Abedalrhman Alkhateeb, Salama Ikki
2024	J	`jnl`	NMF-guided feature selection and genetic algorithm-driven framework for tumor mutational burden classification in bladder cancer using multi-omics data. Netw. Model. Anal. Health Informatics Bioinform. Ibrahim Abed Al-Ghafer, Noor AlAfeshat, Lujain Alshomali, Shaheen Alanee, Hazem Qattous, Mohammad Azzeh, Abedalrhman Alkhateeb
2024	J	`jnl`	Software effort estimation using convolutional neural network and fuzzy clustering. Neural Comput. Appl. Mohammad Azzeh, Abedalrhman Alkhateeb, Ali Bou Nassif
2023	—	`conf`	Establishing a Correlation of Clinical Characteristics with the Level of Tumor Mutation Burden in Urothelial Bladder Carcinoma. BIBM Lujain Alshomali, Rania Khorma, Abdullah Al-Refai, Abedalrhman Alkhateeb
2023	J	`jnl`	Explainable artificial intelligence model for identifying COVID-19 gene biomarkers. Comput. Biol. Medicine Fatma Hilal Yagin, Ipek Balikci Cicek, Abedalrhman Alkhateeb, Burak Yagin, Cemil Colak, Mohammad Azzeh, Sami Akbulut
2023	—	`conf`	Machine Learning Model to Predict Autism Spectrum Disorder Using Eye Gaze Tracking. BIBM Usman Fakhar, Bashier Elkarami, Abedalrhman Alkhateeb
2023	—	`conf`	The Epidemiology and Trends of Cancer in Jordan, 2012-2018. BIBM Mohammad Asad, Abdullah Al-Refai, Saqr Abu Shattal, Abedalrhman Alkhateeb
2022	C	`conf`	Multi-omics Data Integration Model based on Isomap and Convolutional Neural Network. ICMLA Abedalrhman Alkhateeb, Bashier Elkarami, Hazem Qattous, Abdullah Al-Refai, Noor AlAfeshat, Behnam Shahrrava, Mohammad Azzeh
2020	J	`jnl`	A novel approach to identify subtype-specific network biomarkers of breast cancer survivability. Netw. Model. Anal. Health Informatics Bioinform. Sheikh Jubair, Abedalrhman Alkhateeb, Ashraf Abou Tabl, Luis Rueda, Alioune Ngom
2018	—	`conf`	Identification of the Treatment Survivability Gene Biomarkers of Breast Cancer Patients via a Tree-Based Approach. IWBBIO (1) Ashraf Abou Tabl, Abedalrhman Alkhateeb, Luis Rueda, Waguih H. ElMaraghy, Alioune Ngom
2018	—	`conf`	Predicting Tumor Locations in Prostate Cancer Tissue Using Gene Expression. IWBBIO (1) Osama Hamzeh, Abedalrhman Alkhateeb, Luis Rueda
2017	—	`conf`	Finding Transcripts Associated with Prostate Cancer Gleason Stages Using Next Generation Sequencing and Machine Learning Techniques. IWBBIO (2) Osama Hamzeh, Abedalrhman Alkhateeb, Iman Rezaeian, Aram Karkar, Luis Rueda
2017	J	`jnl`	Zseq: An Approach for Preprocessing Next-Generation Sequencing Data. J. Comput. Biol. Abedalrhman Alkhateeb, Luis Rueda
2016	—	`conf`	Identification of discriminative genes for predicting breast cancer subtypes. BIBM Roohollah Etemadi, Abedalrhman Alkhateeb, Iman Rezaeian, Luis Rueda

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.