Publications

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Journal Article
H. Benhar, Idri, A., et Fernández-Alemán, J. L., « Data preprocessing for heart disease classification: A systematic literature review. », Computer Methods and Programs in Biomedicine, vol. 195, 2020.
H. Benhar, Idri, A., et Fernández-Alemán, J. L., « Data preprocessing for heart disease classification: A systematic literature review », Computer Methods and Programs in Biomedicine, vol. 195, p. 105635, 2020.
H. Benhar, Idri, A., et Fernandez-Aleman, J. L., « Data preprocessing for decision making in medical informatics: Potential and analysis », Advances in Intelligent Systems and Computing, vol. 746, p. 1208-1218, 2018.
I. Slimani, I. Farissi, E., et Achchab, S., « Configuration and implementation of a daily artificial neural network-based forecasting system using real supermarket data », International Journal of Logistics Systems and Management, vol. 28, p. 144-163, 2017.
S. Ouhbi, Fernandez-Aleman, J. Luis, Pozo, J. Rivera, Bajta, M. El, Toval, A., et Idri, A., « Compliance of Blood Donation Apps with Mobile OS Usability Guidelines », JOURNAL OF MEDICAL SYSTEMS, vol. 39, 2015.
Sa Ouhbi, Fernández-Alemán, J. La, Pozo, J. Rb, Bajta, M. Ec, Toval, Aa, et Idri, Ac, « Compliance of Blood Donation Apps with Mobile OS Usability Guidelines », Journal of Medical Systems, vol. 39, 2015.
E. - S. Azougaghe, Farchane, A., Tazigh, I., et Azougaghe, A., « Comparative Study on the McEliece Public-Key Cryptosystem Based on Goppa and QC-MDPC Codes », Lecture Notes in Business Information Processing, vol. 416 LNBIP, p. 348-360, 2021.
A. Fakhari, Lazaar, M., et Omara, H., « A Comparative Study Between the Most Usable Object Detection Methods Based on Deep Convolutional Neural Networks », Lecture Notes in Networks and Systems, vol. 183, p. 867-876, 2021.
M. Alimoussa, Porebski, A., Vandenbroucke, N., S. Fkihi, E., et R. Thami, O. Haj, « Compact Hybrid Multi-Color Space Descriptor Using Clustering-Based Feature Selection for Texture Classification », Journal of Imaging, vol. 8, 2022.
T. Fissaa, M. Hamlaoui, E., Guermah, H., Hafiddi, H., et Nassar, M., « Combining planning and learning for context aware service composition », International Journal of Data Analysis Techniques and Strategies, vol. 13, p. 151-169, 2021.
F. Z. Fagroud, Ajallouda, L., Lahmar, E. H. B., Toumi, H., Zellou, A., et S. Filali, E., « A Brief Survey on Internet of Things (IoT) », Lecture Notes in Networks and Systems, vol. 211 LNNS, p. 335-344, 2021.
F. Z. Fagroud, Ajallouda, L., Lahmar, E. H. B., Toumi, H., Zellou, A., et S. Filali, E., « A Brief Survey on Internet of Things (IoT) », Lecture Notes in Networks and Systems, vol. 211 LNNS, p. 335-344, 2021.
S. Bouzbita, A. Afia, E., et Faizi, R., « The behaviour of ACS-TSP algorithm when adapting both pheromone parameters using fuzzy logic controller », International Journal of Electrical and Computer Engineering, vol. 10, p. 5436-5444, 2020.
L. Ajallouda, Fagroud, F. Z., Zellou, A., et Benlahmar, E. H., « Automatic Key-Phrase Extraction: Empirical Study of Graph-Based Methods », Lecture Notes in Networks and Systems, vol. 489 LNNS, p. 440-456, 2022.
Y. Lahlou, Fkihi, S. E., et Faizi, R., « Automatic Detection of Fake News on Twitter by Using a New Feature: User Credibility », Lecture Notes in Networks and Systems, vol. 489 LNNS, p. 568-580, 2022.
Y. Lahlou, Fkihi, S. E., et Faizi, R., « Automatic Detection of Fake News on Twitter by Using a New Feature: User Credibility », Lecture Notes in Networks and Systems, vol. 489 LNNS, p. 568-580, 2022.
I. Slimani, Slimani, N., Achchab, S., Saber, M., Farissi, I. E., Sbiti, N., et Amghar, M., « Automated machine learning: the new data science challenge », International Journal of Electrical and Computer Engineering, vol. 12, p. 4243-4252, 2022.
W. Hassen, Neifar, M., Cherif, H., Mahjoubi, M., Souissi, Y., Raddadi, N., Fava, F., et Cherif, A., « Assessment of genetic diversity and bioremediation potential of pseudomonads isolated from pesticide-contaminated artichoke farm soils », 3 Biotech, vol. 8, 2018.
M. Ayache, Erradi, M., Freisleben, B., et Khoumsi, A., « Aspect-oriented state machines for resolving conflicts in XACML policies », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10299 LNCS, p. 166-171, 2017.
J. MaCarrillo de Gea, Nicolás, Ja, Fernández-Alemán, J. La, Toval, Aa, et Idri, Ab, « Are the expected benefits of requirements reuse hampered by distance? An experiment », SpringerPlus, vol. 5, 2016.
J. M. Carrill de Gea, Nicolas, J., Fernandez-Aleman, J. L., Toval, A., et Idri, A., « Are the expected benefits of requirements reuse hampered by distance? An experiment », SPRINGERPLUS, vol. 5, 2016.
Ia Slimani, Farissi, IbEl, et Achchab, Sc, « Application of game theory and neural network to study the behavioral probabilities in supply chain », Journal of Theoretical and Applied Information Technology, vol. 82, p. 411-416, 2015.
Na Assad, Elbhiri, Bb, Faqihi, M. Ac, Ouadou, Ma, et Aboutajdine, Da, « Analysis of the deployment quality for intrusion detection in wireless sensor networks », Journal of Computer Networks and Communications, vol. 2015, 2015.
N. Assad, Elbhiri, B., Faqihi, M. Ahmed, Ouadou, M., et Aboutajdine, D., « Analysis of the Deployment Quality for Intrusion Detection in Wireless Sensor Networks », JOURNAL OF COMPUTER NETWORKS AND COMMUNICATIONS, 2015.
N. Assad, Elbhiri, B., Faqihi, M. Ahmed, Ouadou, M., et Aboutajdine, D., « Analysis of the Deployment Quality for Intrusion Detection in Wireless Sensor Networks. », Journal of Computer Networks & Communications, vol. 2015, p. 1 - 7, 2015.

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