Farid Meziane


NameFarid Meziane
Job titleProfessor and Head of the Data Science Research Centre
Research instituteCollege of Science and Engineering
ORCIDhttps://orcid.org/0000-0001-9811-6914

Research outputs

A graph based named entity disambiguation using clique partitioning and semantic relatedness

Belalta, R., Belazzoug, M. and Meziane, F. 2024. A graph based named entity disambiguation using clique partitioning and semantic relatedness. Data and Knowledge Engineering. pp. 1-27. https://doi.org/10.1016/j.datak.2024.102308

Exploring Imaging Biomarkers for Early Detection of Alzheimer’s Disease Using Deep Learning: A Comprehensive Analysis

Sami, N., Makkar, A., Meziane, F. and Conway, M. 2024. Exploring Imaging Biomarkers for Early Detection of Alzheimer’s Disease Using Deep Learning: A Comprehensive Analysis. International Conference on Recent Trends in Image Processing and Pattern Recognition. Springer. https://doi.org/10.1007/978-3-031-53085-2_17

Novel Adaptive DCOPA Using Dynamic Weighting for Vector of Performances Indicators Optimization of IoT Networks

Mir, F. and Meziane, F. 2024. Novel Adaptive DCOPA Using Dynamic Weighting for Vector of Performances Indicators Optimization of IoT Networks. Expert Systems with Applications. 247, pp. 1-23. https://doi.org/10.1016/j.eswa.2024.123212

Investigation of Artifact Contamination Impact on EEG Oscillations Towards Enhanced Motor Function Characterization

Asogbon, M.G., Samuel, O., Meziane, F., Li, G. and Li, Y. 2024. Investigation of Artifact Contamination Impact on EEG Oscillations Towards Enhanced Motor Function Characterization. 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS. SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0012373400003657

Molecular subtypes classification of breast cancer in DCE-MRI using deep features

Hasan, A.M., Al-Waely, N.K.N., Aljobouri, H.K., Jalab, H.A., Ibrahim, R.W. and Meziane, F. 2024. Molecular subtypes classification of breast cancer in DCE-MRI using deep features. Expert Systems with Applications. 236, pp. 1-8. https://doi.org/10.1016/j.eswa.2023.121371

Diagnosis of Breast Cancer Based on Hybrid Features Extraction in Dynamic Contrast Enhanced Magnetic Resonance Imaging

Hasan, A.M., Aljobouri, H.K., Al-Waely, K.N.A., Ibrahim, W.I., Jalab, H.A. and Meziane, F. 2023. Diagnosis of Breast Cancer Based on Hybrid Features Extraction in Dynamic Contrast Enhanced Magnetic Resonance Imaging. Neural Computing and Applications. pp. 1-14. https://doi.org/10.1007/s00521-023-08909-y

Natural Language Processing and Information Systems

Métais, E., Meziane, F., Sugumaran, V., Manning, W. and Reiff-Marganiec, S. (ed.) 2023. Natural Language Processing and Information Systems. Switzerland Springer.

Classification Model of Breast Masses in DCE-MRI Using Kinetic Curves Features with Quantum-Raina’s Polynomial Based Fusion

Hasan, A.M., Al-Waely, N.K.N., Ajobouri, H.K., Ibrahim, R.W., Jalab, H.A. and Meziane, F. 2023. Classification Model of Breast Masses in DCE-MRI Using Kinetic Curves Features with Quantum-Raina’s Polynomial Based Fusion. Biomedical Signal Processing and Control. 84, pp. 1-12. https://doi.org/10.1016/j.bspc.2023.105002

The Impact of Arabic Diacritization on Word Embeddings

Abbache, M., Abbache, A., Xu, J.W., Meziane, F. and Wen, X.B. 2023. The Impact of Arabic Diacritization on Word Embeddings. ACM Transactions on Asian and Low-Resource Language Information Processing . pp. 1-32. https://doi.org/10.1145/3592603

Unequal Clustering Protocol in IoT Networks Based on Multiple Criteria Processing

Mir, F. and Meziane, F. 2023. Unequal Clustering Protocol in IoT Networks Based on Multiple Criteria Processing. 6th International Conference on Information Science and Systems (ICISS 2023). ACM Press.

Mitigation of Popularity Bias in Recommendation Systems

Karboua, S., Harrag, F., Meziane, F. and Boutadjine, A. 2022. Mitigation of Popularity Bias in Recommendation Systems. Tunisian-Algerian Joint Conference on Applied Computing. Constantine, Algeria 14 - 15 Dec 2022

Describing Pulmonary Nodules Using 3D Clustering

Al-Funjan, A., Farid Meziane and Aspin, R. 2022. Describing Pulmonary Nodules Using 3D Clustering. Advanced Engineering Research. 22 (3), pp. 261-271. https://doi.org/10.23947/2687-1653-2022-22-3-261-271

Credit Risk Prediction for Peer-To-Peer Lending Platforms: An Explainable Machine Learning Approach

Swee, C.P., Labadin, J. and Meziane, F. 2022. Credit Risk Prediction for Peer-To-Peer Lending Platforms: An Explainable Machine Learning Approach. Journal of Computing and Social Informatics. 1 (2), pp. 1-16. https://doi.org/10.33736/jcsi.4761.2022

DCOPA: a distributed clustering based on objects performances aggregation for hierarchical communications in IoT applications

Mir, F. and Meziane, F. 2022. DCOPA: a distributed clustering based on objects performances aggregation for hierarchical communications in IoT applications. Cluster Computing. 26, p. 1077–1098. https://doi.org/10.1007/s10586-022-03741-w

Natural Language Processing and Information Systems; 27th International Conference on Applications of Natural Language to Information Systems, NLDB 2022, Valencia, Spain, June 15–17, 2022, Proceedings

Rosso, P., Basile, V., Martínez, R., Métais, E. and Meziane, F. (ed.) 2022. Natural Language Processing and Information Systems; 27th International Conference on Applications of Natural Language to Information Systems, NLDB 2022, Valencia, Spain, June 15–17, 2022, Proceedings. Switzerland Springer.

A review of the generation of requirements specification in natural language using objects UML models and domain ontology

Abdalazeima, Alaa and Meziane, Farid 2021. A review of the generation of requirements specification in natural language using objects UML models and domain ontology. Procedia Computer Science. 189, pp. 328-334. https://doi.org/10.1016/j.procs.2021.05.102

Natural Language Processing and Information Systems; 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbrücken, Germany, June 23–25, 2021, Proceedings

Métais, E., Meziane, F., Horacek, H. and Kapetanios, E. (ed.) 2021. Natural Language Processing and Information Systems; 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbrücken, Germany, June 23–25, 2021, Proceedings. Switzerland Springer.

Botnet detection used fast-flux technique, based on adaptive dynamic evolving spiking neural network algorithm

Almomani, Ammar, Nawasrah, Ahmad Al, Alauthman, Mohammad, Betar, Mohammed Azmi Al and Meziane, Farid 2021. Botnet detection used fast-flux technique, based on adaptive dynamic evolving spiking neural network algorithm. International Journal of Ad Hoc and Ubiquitous Computing. 36 (1), p. 50. https://doi.org/10.1016/j.cosrev.2020.100305

MRI brain classification using the quantum entropy LBP and deep-learning-based features

Hasan, Ali M., Jalab, Hamid A., Ibrahim, Rabha W., Meziane, Farid, AL-Shamasneh, Ala’a R. and Obaiys, Suzan J. 2020. MRI brain classification using the quantum entropy LBP and deep-learning-based features. Entropy. 22 (9), p. 1033. https://doi.org/10.3390/e22091033

Arabic machine translation: A survey of the latest trends and challenges

Ameur, M.S.H., Meziane, Farid and Guessoum, Ahmed 2020. Arabic machine translation: A survey of the latest trends and challenges. Computer Science Review. 38, p. 100305. https://doi.org/10.1016/j.cosrev.2020.100305

A Methodology for Ontology Reuse

Nur Zareen Zulkarnain and Farid Meziane 2019. A Methodology for Ontology Reuse. International Journal of Intelligent Information Technologies. Vol 15 (Issue 4), pp. 1 - 21. https://doi.org/10.4018/ijiit.2019100101

Combining Deep and Handcrafted Image Features for MRI Brain Scan Classification

Ali M. Hasan, Hamid A. Jalab, Farid Meziane, Hasan Kahtan and Ahmad Salah Al-Ahmad 2019. Combining Deep and Handcrafted Image Features for MRI Brain Scan Classification. IEEE Access. Vol 7, pp. 79959 - 79967. https://doi.org/10.1109/access.2019.2922691

A computer-aided diagnosis system for glioma grading using three dimensional texture analysis and machine learning in mri brain tumour

Al-Zurfi, A.N., Meziane, F. and Aspin, R. 2019. A computer-aided diagnosis system for glioma grading using three dimensional texture analysis and machine learning in mri brain tumour. 2019 3rd International Conference on Bio-engineering for Smart Technologies (BioSMART). Paris, France 24 - 26 Apr 2019 IEEE Xplore. https://doi.org/10.1109/biosmart.2019.8734207

Exploring the Effects of Consumers’ Trust: A Predictive Model for Satisfying Buyers’ Expectations Based on Sellers’ Behavior in the Marketplace

Sinan S. Alsheikh, Khaled Shaalan and Farid Meziane 2019. Exploring the Effects of Consumers’ Trust: A Predictive Model for Satisfying Buyers’ Expectations Based on Sellers’ Behavior in the Marketplace. IEEE Access. Vol 7, pp. 73357 - 73372. https://doi.org/10.1109/access.2019.2917999

Ultrasound reports standardisation using rhetorical structure theory and domain ontology

Zulkarnain, N.Z. and Meziane, F. 2019. Ultrasound reports standardisation using rhetorical structure theory and domain ontology. Journal of Biomedical Informatics: X. Vol 1 (Article: 100003). https://doi.org/10.1016/j.yjbinx.2019.100003

Learning Causality for Arabic - Proclitics

Sadek, J. and Meziane, F. 2018. Learning Causality for Arabic - Proclitics. 4th Arabic Computational Linguistics, ACLing 2018. Dubai, UAE 17 - 19 Nov 2018 Elsevier. https://doi.org/10.1016/j.procs.2018.10.469

ROI-based reversible watermarking scheme for ensuring the integrity and authenticity of DICOM MR images

Qasim, A.F., Aspin, R., Meziane, F. and Hogg, P. 2018. ROI-based reversible watermarking scheme for ensuring the integrity and authenticity of DICOM MR images. Multimedia Tools and Applications. Vol 78 (Issue 12), pp. 16433 - 16463. https://doi.org/10.1007/s11042-018-7029-7

An adaptable and personalised E-learning system applied to computer science Programmes design

Aeiad, E. and Meziane, F. 2018. An adaptable and personalised E-learning system applied to computer science Programmes design. Education and Information Technologies. Vol 24 (Issue 2), pp. 1485 - 1509. https://doi.org/10.1007/s10639-018-9836-x

Assessment of perceptual distortion boundary through applying reversible watermarking to brain MR images

Qasim, A.F., Aspin, R., Meziane, F. and Hogg, P. 2019. Assessment of perceptual distortion boundary through applying reversible watermarking to brain MR images. Signal Processing: Image Communication. Vol 70 (Feb 2019), pp. 246-258. https://doi.org/10.1016/j.image.2018.10.007

The impact of trusted and secured transactions in an e-commerce environment on consumers’ behaviour : the case of Saudis in the UK

Alshehri, H and Meziane, F. 2018. The impact of trusted and secured transactions in an e-commerce environment on consumers’ behaviour : the case of Saudis in the UK. Journal of Internet Technology and Secured Transactions. Vol 6 (Issue 1), pp. 596 - 604. https://doi.org/10.20533/jitst.2046.3723.2018.0073

Exploiting Past Users’ Interests and Predictions in an Active Learning Method for Dealing with Cold Start in Recommender Systems

Meziane, F. 2018. Exploiting Past Users’ Interests and Predictions in an Active Learning Method for Dealing with Cold Start in Recommender Systems. MDPI AG. https://doi.org/10.20944/preprints201803.0253.v1

Query expansion using medical information extraction for improving information retrieval in French medical domain

Ghoulam, A, Barigou, F, Belalem, G and Meziane, F. 2018. Query expansion using medical information extraction for improving information retrieval in French medical domain. International Journal of Intelligent Information Technologies. Vol 14 (Issue 3), pp. 1 - 17. https://doi.org/10.4018/ijiit.2018070101

A reversible and imperceptible watermarking scheme for MR images authentication

Qasim, A, Meziane, F. and Aspin, R 2018. A reversible and imperceptible watermarking scheme for MR images authentication. 24th International Conference on Automation and Computing (ICAC). Newcastle Upon Tyne, UK 06 - 07 Sep 2018 IEEE Xplore. https://doi.org/10.23919/iconac.2018.8749000

Automated glioma grading based on an efficient ensemble design of a multiple classifier system using deep iteration neural networks matrix

Al-Zurfi, A, Meziane, F. and Aspin, R 2018. Automated glioma grading based on an efficient ensemble design of a multiple classifier system using deep iteration neural networks matrix. 2018 24th International Conference on Automation and Computing (ICAC). Newcastle Upon Tyne, UK 06 - 07 Sep 2018 IEEE. https://doi.org/10.23919/iconac.2018.8749072

The influence of advanced and secure e-commerce environments on customers behaviour: The case of Saudis in the UK

Alshehri, H. and Meziane, F. 2018. The influence of advanced and secure e-commerce environments on customers behaviour: The case of Saudis in the UK. International Conference for Internet Technology and Secured Transactions (ICITST). Cambridge, UK 11 - 14 Dec 2017 IEEE Xplore. https://doi.org/10.23919/icitst.2017.8356411

Building a causation annotated corpus : the Salford Arabic Causal Bank-proclitics

Sadek, J and Meziane, F. 2018. Building a causation annotated corpus : the Salford Arabic Causal Bank-proclitics. W30 - The 3rd Workshop on Open-Source Arabic Corpora and Processing Tools: with ArabicWeb16 Data Challenge. Miyazaki, Japan 08 May 2018 LREC.

Fast flux botnet detection framework using adaptive dynamic evolving spiking neural network algorithm

Al-Nawasrah, A, Al-Momani, A, Meziane, F. and Alauthman, M 2018. Fast flux botnet detection framework using adaptive dynamic evolving spiking neural network algorithm. 9th International Conference on Information and Communication Systems (ICICS). Irbid, Jordan 03 - 05 Apr 2018 IEEE Xplore. https://doi.org/10.1109/iacs.2018.8355433

Digital watermarking: Applicability for developing trust in medical imaging workflows state of the art review

Asaad F. Qasim, Farid Meziane and Rob Aspin 2017. Digital watermarking: Applicability for developing trust in medical imaging workflows state of the art review. Computer Science Review. Vol 27 (Feb 2018), pp. 45-60. https://doi.org/10.1016/j.cosrev.2017.11.003

Arabic machine transliteration using an attention-based encoder-decoder model

Hadj Ameur, MS, Meziane, F. and Guessoum, A 2017. Arabic machine transliteration using an attention-based encoder-decoder model. 3rd International Conference on Arabic Computational Linguistics, ACLing 2017. Dubai 05 - 06 Nov 2017 Elseiver. https://doi.org/10.1016/j.procs.2017.10.120

Automatic ROI detection and classification of the Achilles tendon ultrasound images

Benrabha, JS and Meziane, F. 2017. Automatic ROI detection and classification of the Achilles tendon ultrasound images. 1st International Conference on Internet of Things and Machine Learning. New York, USA 17 - 18 Oct 2017 ACM Press. https://doi.org/10.1145/3109761.3158381

Enhancing new user cold-start based on decision trees active learning by using past warm-users predictions

Pozo, M, Chiky, R, Meziane, F. and Metais, E 2017. Enhancing new user cold-start based on decision trees active learning by using past warm-users predictions. 9th International Conference, ICCCI 2017. Nicosia, Cyprus 27 - 29 Sep 2017 Springer. https://doi.org/10.1007/978-3-319-67074-4_14

A POS-based preordering approach for English-to-Arabic statistical machine translation

Hadj Ameur, MS, Guessoum, A and Meziane, F. 2018. A POS-based preordering approach for English-to-Arabic statistical machine translation. International Conference on Arabic Language Processing. Fez, Morocco 11 - 12 Oct 2017 Springer. https://doi.org/10.1007/978-3-319-73500-9_3

Consumers’ trust and popularity of negative posts in social media : a case study on the integration between B2C and C2C business models

AlSheikh, SS, Shaalan, S and Meziane, F. 2017. Consumers’ trust and popularity of negative posts in social media : a case study on the integration between B2C and C2C business models. 4th International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2017. Krakow, Poland 16 - 18 Oct 2017 IEEE Xplore. https://doi.org/10.1109/besc.2017.8256364

MRI brain scan classification using novel 3-D statistical features

Hasan, A, Meziane, F., Aspin, R and Jalab, HA 2017. MRI brain scan classification using novel 3-D statistical features. Second International Conference on Internet of Things, Data and Cloud Computing. Cambridge, UK 22 - 23 Mar 2017 ACM Press.

MRI brain scan classification using novel 3-D statistical features

Hasan, A.M., Meziane, F., Aspin, R. and Jalab, H.A. 2017. MRI brain scan classification using novel 3-D statistical features. Second International Conference on Internet of Things, Data and Cloud Computing. Cambridge, UK 22 - 23 Mar 2017 Association for Computing Machinery. https://doi.org/10.1145/3018896.3036381

Current state on internet growth and usage in Saudi Arabia and its ability to support e-commerce development

Alshehri, H and Meziane, F. 2017. Current state on internet growth and usage in Saudi Arabia and its ability to support e-commerce development. Journal of Advanced Management Science. Vol 5 (Issue 2), pp. 127-132. https://doi.org/10.18178/joams.5.2.127-132

Plantar fascia segmentation and thickness estimation in ultrasound images

Boussouar, A, Meziane, F. and Gillian Crofts 2017. Plantar fascia segmentation and thickness estimation in ultrasound images. Computerized Medical Imaging and Graphics. Vol 56, pp. 60 - 73. https://doi.org/10.1016/j.compmedimag.2017.02.001

Performance of grey level statistic features versus Gabor wavelet for screening MRI brain tumors : a comparative study

Hasan, A, Meziane, F. and Jalab, HA 2016. Performance of grey level statistic features versus Gabor wavelet for screening MRI brain tumors : a comparative study. 2016 6th International Conference on Information Communication and Management (ICICM). Hatfield, UK 29 - 31 Oct 2016 IEEE Xplore. https://doi.org/10.1109/infocoman.2016.7784230

Segmentation of brain tumors in MRI images using three-dimensional active contour without edge

Hasan, A, Meziane, F., Aspin, R and Jalab, HA 2016. Segmentation of brain tumors in MRI images using three-dimensional active contour without edge. Symmetry. Vol 8 (Issue 11, Article: 132). https://doi.org/10.3390/sym8110132

A discourse-based approach for Arabic question answering

Sadek, J and Meziane, F. 2016. A discourse-based approach for Arabic question answering. ACM Transactions on Asian and Low-Resource Language Information Processing. Vol 16 (Issue 2, Article: 11), pp. 1 - 18. https://doi.org/10.1145/2988238

Mining the crime survey to support crime profiling

Wu, J, Meziane, F., Mohamad Saraee, Aspin, R and Hope, T 2016. Mining the crime survey to support crime profiling. 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM). Reggio Calabria, Italy 27 - 28 Oct 2016 IEEE Xplore. https://doi.org/10.1109/iwcim.2016.7801189

An item/user representation for recommender systems based on bloom filters

Pozo, M, Chiky, R, Meziane, F. and Metais, E 2016. An item/user representation for recommender systems based on bloom filters. 2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS). Grenoble, France 01 - 03 Jun 2016 IEEE Computer Society. https://doi.org/10.1109/rcis.2016.7549311

Arabic Query Expansion Using WordNet and Association Rules

Abbache, A, Meziane, F., Belalem, G and Belkredim, F Z 2018. Arabic Query Expansion Using WordNet and Association Rules. International Journal of Intelligent Information Technologies. https://doi.org/10.4018/ijiit.2016070104

A new strategy for case-based reasoning retrieval using classification based on association

Aljuboori, AS, Meziane, F. and Parsons, DJ 2016. A new strategy for case-based reasoning retrieval using classification based on association. Perner, P (ed.) MLDM: International Conference on Machine Learning and Data Mining in Pattern Recognition. New York, USA 16 - 21 Jul 2016 Springer. https://doi.org/10.1007/978-3-319-41920-6_24

Validating the learning outcomes of an e-learning system using NLP

Aeiad, E and Meziane, F. 2016. Validating the learning outcomes of an e-learning system using NLP. Natural Language Processing and Information Systems. Vol 9612, pp. 292 - 300. https://doi.org/10.1007/978-3-319-41754-7_27

A methodology for biomedical ontology reuse

Zulkarnain, NZ and Meziane, F. 2016. A methodology for biomedical ontology reuse. 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016. Salford, UK 22 - 24 Jun 2016 Springer. https://doi.org/10.1007/978-3-319-41754-7_1

Automated screening of MRI brain scanning using grey level statistics

Hasan, A and Meziane, F. 2016. Automated screening of MRI brain scanning using grey level statistics. Computers & Electrical Engineering. Vol 53 (Jul 2016), pp. 276-291. https://doi.org/10.1016/j.compeleceng.2016.03.008

Extracting Arabic causal relations using linguistic patterns

Sadek, J and Meziane, F. 2016. Extracting Arabic causal relations using linguistic patterns. ACM Transactions on Asian and Low-Resource Language Information Processing. Vol 15 (Issue 3, Article: 14), p. 1–20. https://doi.org/10.1145/2800786

Automated segmentation of tumours in MRI brain scans

Hasan, A, Meziane, F. and Khadim, M 2016. Automated segmentation of tumours in MRI brain scans. 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016). Rome, Italy 21 - 23 Feb 2016 SCITEPRESS - Science and Technology Publications.

The Impact of Social Influence and Third Party Endorsement on Online Shopping in Saudi Arabia

Haya Alshehri and Farid Meziane 2015. The Impact of Social Influence and Third Party Endorsement on Online Shopping in Saudi Arabia. Journal of Internet and e-Business Studies. Vol 2015 (2015, Article: 146746). https://doi.org/10.5171/2015.146746

Using local grammar for entity extraction from clinical reports

Ghoulam, A, Barigou, F, Belalem, G and Meziane, F. 2015. Using local grammar for entity extraction from clinical reports. International Journal of Artificial Intelligence and Interactive Multimedia. Vol 3 (Issue 3), pp. 16 - 24. https://doi.org/10.9781/ijimai.2015.332

An adaptable and personalised e-learning system based on free web resources

Aeiad, E and Meziane, F. 2015. An adaptable and personalised e-learning system based on free web resources. Biemann, C, Handschuh, S, Freitas, A, Meziane, F and Métais, E (ed.) 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015. Passau, Germany 17 - 19 Jun 2015 Springer. https://doi.org/10.1007/978-3-319-19581-0_26

An architecture to support ultrasound report generation and standardisation

Zulkarnain, NZ, Crofts, GS and Meziane, F. 2015. An architecture to support ultrasound report generation and standardisation. 8th International Conference on Health Informatics, HEALTHINF 2015. Lisbon, Portugal 12 - 15 Jan 2015 SCITEPRESS - Science and Technology Publications.

An exploratory study of ethical problems in digital service and engineering project management

More, S.K., Bass, J.M. and Meziane, F. 2015. An exploratory study of ethical problems in digital service and engineering project management. 3rd Joint International Workshop on Quantitative Approaches to Software Quality, QuASoQ 2015, the Workshop on Alternate Workforces for Software Engineering, WAWSE 2015 and the 1st International Workshop on Case Method for Computing Education, CMCE 201. New Delhi, India 01 Dec 2015 CEUR Workshops Proceedings.

Regression analysis for energy and lifetime prediction in large wireless sensor networks

Mir, F, Bounceur, A and Meziane, F. 2014. Regression analysis for energy and lifetime prediction in large wireless sensor networks. 2014 International Conference on Advanced Networking Distributed Systems and Applications. Bejaia, Algeria 17 - 19 Jun 2014 IEEE. https://doi.org/10.1109/inds.2014.8

The effect of a different environment on providing personal information when engaging in E-commerce : the case of Saudis in the UK

Alshehri, H and Meziane, F. 2014. The effect of a different environment on providing personal information when engaging in E-commerce : the case of Saudis in the UK. 22nd IBIMA Conference. Rome, Italy 13 - 14 Nov 2013 IBIMA.

The Effect of recommendations from family members and friends and third party endorsement in B2C E-Commerce: The case of Saudi Arabia

Alshehri, H. and Meziane, F. 2014. The Effect of recommendations from family members and friends and third party endorsement in B2C E-Commerce: The case of Saudi Arabia. 24th International Business Information Management Association Conference - Crafting Global Competitive Economies: 2020 Vision Strategic Planning and Smart Implementation. Milan, Italy 06 - 07 Nov 2014 IBIMA.
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