Computational Methods for Analysis of Cryptic Recombination in the Performance of Genomic Recombination Detection Software. - Jamal Alhiyafi; Cavitha Sabesan; Shiyong Lu; Melphine Harriott; Deborah Jurczyszyn; Raquel P. Ritchie; Felicitas S. Gonzales; Jeffrey L. Ram (AINA Workshops (1), 2007)

RECOMBFLOW: a scientific workflow environment for Intragenomic Gene Conversion analysis in bacterial genomes, including the pathogen Streptococcus pyogenes. - Jamal Alhiyafi; Cavitha Sabesan; Shiyong Lu; Jeffrey L. Ram (Int. J. Bioinform. Res. Appl., 2009)

Simulation of genomic recombination and the influence of DNA sequence diversity on cluster formation and detectability of recombination: a scientific workflow method. - Jamal Alhiyafi; Shiyong Lu; Jeffrey L. Ram (Int. J. Comput. Biol. Drug Des., 2009)

Association analysis between Intragenomic Gene Conversions and pathogenicity in genomes of Escherichia coli and Shigella spp.: a scientific workflow approach. - Jamal Alhiyafi; Cavitha Sabesan; Shiyong Lu; Jeffrey L. Ram (Int. J. Funct. Informatics Pers. Medicine, 2009)

An efficient schedulability condition for non-preemptive real-time systems at common scheduling points. - Saleh Alrashed; Jamal Alhiyafi; Aamir Shafi; Nasro Min-Allah (J. Supercomput., 2016)

Student performance prediction using Support Vector Machine and K-Nearest Neighbor. - Huda Al-Shehri; Amani Al-Qarni; Leena Al-Saati; Arwa Batoaq; Haifa Badukhen; Saleh Alrashed; Jamal Alhiyafi; Sunday Olusanya Olatunji (CCECE, 2017)

Solving linear optimization over arithmetic constraint formula. - Li Chen; Yinrun Lyu; Chong Wang; Jingzheng Wu; Changyou Zhang; Nasro Min-Allah; Jamal Alhiyafi; Yongji Wang 002 (J. Glob. Optim., 2017)

Neural network and support vector machine for the prediction of chronic kidney disease: A comparative study. - Njoud Abdullah Almansour; Hajra Fahim Syed; Nuha Radwan Khayat; Rawan Kanaan Altheeb; Renad Emad Juri; Jamal Alhiyafi; Saleh Alrashed; Sunday Olusanya Olatunji (Comput. Biol. Medicine, 2019)

Early diagnosis of thyroid cancer diseases using computational intelligence techniques: A case study of a Saudi Arabian dataset. - Sunday O. Olatunji; Sarah Alotaibi; Ebtisam Almutairi; Zainab Alrabae; Yasmeen Almajid; Rahaf Altabee; Mona Altassan; Mohammed Imran Basheer Ahmed; Mehwash Farooqui; Jamal Alhiyafi (Comput. Biol. Medicine, 2021)

Mammography Image-Based Diagnosis of Breast Cancer Using Machine Learning: A Pilot Study. - Maha M. Alshammari; Afnan Almuhanna; Jamal Alhiyafi (Sensors, 2022)

Machine Learning Based Preemptive Diagnosis of Parkinson's Disease Using Saudi Clinical Data: A Preliminary Case Study on Saudi Arabia Dataset. - Sunday O. Olatunji; Abdulaziz Alzahrani; Abdulaziz Alsubaie; Osamah Aldahlan; Ibrahim Alnafea; Abdullah Alamri; Mohammed Imran Basheer Ahmed; Mohammad Aftab Alam Khan; Abdulrahman Almuhaidib; Jamal Alhiyafi (IDSTA, 2023)