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Mostafa M. Abbas
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2020 – today
- 2023
- [d1]Mostafa M. Abbas, Ehsan Ullah, Abdelkader Baggag, Halima Bensmail, Michael Sedlmair, Michaël Aupetit:
Datasets and code for ClustMe and ClustML visual quality measures of grouping patterns in monochrome scatterplots. Zenodo, 2023 - 2022
- [j8]Mostafa M. Abbas, Mostafa I. Soliman, Sherif I. Rabia, Keiji Kimura, Ahmed El-Mahdy:
Accelerating Data Dependence Profiling Through Abstract Interpretation of Loop Instructions. IEEE Access 10: 31626-31640 (2022) - 2021
- [j7]Yasser El-Manzalawy, Mostafa M. Abbas, Ian Hoaglund, Alvaro Ulloa Cerna, Thomas B. Morland, Christopher M. Haggerty, Eric S. Hall, Brandon K. Fornwalt:
OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortality. BMC Medical Informatics Decis. Mak. 21(1): 156 (2021) - [i1]Mostafa M. Abbas, Ehsan Ullah, Abdelkader Baggag, Halima Bensmail, Michael Sedlmair, Michaël Aupetit:
ClustRank: a Visual Quality Measure Trained on Perceptual Data for Sorting Scatterplots by Cluster Patterns. CoRR abs/2106.00599 (2021) - 2020
- [j6]Edin Salkovic, Mostafa M. Abbas, Samir Brahim Belhaouari, Khaoula Errafii, Halima Bensmail:
OutPyR: Bayesian inference for RNA-Seq outlier detection. J. Comput. Sci. 47: 101245 (2020) - [c10]Mostafa M. Abbas, Rasha Salah Omar, Ahmed El-Mahdy, Erven Rohou:
Approximate Data Dependence Profiling Based on Abstract Interval and Congruent Domains. ARCS 2020: 3-16
2010 – 2019
- 2019
- [j5]Mostafa M. Abbas, Michaël Aupetit, Michael Sedlmair, Halima Bensmail:
ClustMe: A Visual Quality Measure for Ranking Monochrome Scatterplots based on Cluster Patterns. Comput. Graph. Forum 38(3): 225-236 (2019) - [c9]Michaël Aupetit, Michael Sedlmair, Mostafa M. Abbas, Abdelkader Baggag, Halima Bensmail:
Toward Perception-Based Evaluation of Clustering Techniques for Visual Analytics. IEEE VIS (Short Papers) 2019: 141-145 - 2018
- [c8]Mostafa M. Abbas, Thanh Le, Halima Bensmail, Vasant G. Honavar, Yasser El-Manzalawy:
Microbiomarkers Discovery in Inflammatory Bowel Diseases using Network-Based Feature Selection. BCB 2018: 172-177 - 2017
- [c7]Mostafa M. Abbas, Yasser El-Manzalawy:
Predictive and Comparative Network Analysis of the Gut Microbiota in Type 2 Diabetes. BCB 2017: 313-320 - [c6]Yongyang Yu, MingJie Tang, Walid G. Aref, Qutaibah M. Malluhi, Mostafa M. Abbas, Mourad Ouzzani:
In-Memory Distributed Matrix Computation Processing and Optimization. ICDE 2017: 1047-1058 - [c5]Hazem M. Bahig, Mostafa M. Abbas, Mustafa M. Mohie-Eldin:
Parallelizing Partial Digest Problem on Multicore System. IWBBIO (2) 2017: 95-104 - 2016
- [j4]Mostafa M. Abbas, Hazem M. Bahig:
A fast exact sequential algorithm for the partial digest problem. BMC Bioinform. 17(S-19): 139-148 (2016) - [c4]Mostafa M. Abbas, Ahmed El-Mahdy:
Approximate Data Dependence Graph Generation Using Adaptive Sampling. ICPP Workshops 2016: 329-337 - 2015
- [c3]Mostafa M. Abbas, Ponnuraman Balakrishnan, Qutaibah M. Malluhi:
Evaluation of Combined Genome Assemblies: A Case Study with Fungal Genomes. IWBBIO (2) 2015: 333-344 - 2014
- [j3]Mostafa M. Abbas, Hazem M. Bahig, Mohamed Abouelhoda, Mustafa M. Mohie-Eldin:
Parallelizing exact motif finding algorithms on multi-core. J. Supercomput. 69(2): 814-826 (2014) - [c2]Mostafa M. Abbas, Qutaibah M. Malluhi, Ponnuraman Balakrishnan:
Scalable Multi-core Implementation for Motif Finding Problem. ISPDC 2014: 178-183 - 2013
- [j2]Mostafa M. Abbas, Hazem M. Bahig:
An Efficient Algorithm to Identify DNA Motifs. Math. Comput. Sci. 7(4): 387-399 (2013) - 2012
- [j1]Mostafa M. Abbas, Mohamed Abouelhoda, Hazem M. Bahig:
A hybrid method for the exact planted (l, d) motif finding problem and its parallelization. BMC Bioinform. 13(S-17): S10 (2012)
2000 – 2009
- 2009
- [c1]Mostafa M. Abbas, Hazem M. Bahig:
Performance and analysis of modified voting algorithm for planted motif search. AICCSA 2009: 725-731
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