All Outputs (13)

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

Brain tumor segmentation in magnetic resonance imaging (MRI) is considered a complex procedure because of the variability of tumor shapes and the complexity of determining the tumor location, size, and texture. Manual tumor segmentation is a time-con... Read More about Segmentation of brain tumors in MRI images using three-dimensional active contour without edge.

A discourse-based approach for Arabic question answering (2016)
Journal Article
Sadek, J., & Meziane, F. (2016). A discourse-based approach for Arabic question answering. ACM transactions on Asian language information processing, 16(2), Art. 11. https://doi.org/10.1145/2988238

The treatment of complex questions with explanatory answers involves searching for arguments in texts. Because of the prominent role that discourse relations play in reflecting text-producers’ intentions, capturing the underlying structure of text co... Read More about A discourse-based approach for Arabic question answering.

Performance of grey level statistic features versus Gabor wavelet for screening MRI brain tumors : a comparative study (2016)
Presentation / Conference
Hasan, A., Meziane, F., & Jalab, H. (2016, October). Performance of grey level statistic features versus Gabor wavelet for screening MRI brain tumors : a comparative study. Presented at 6th International Conference on Information Communication and Management, University of Hertfordshire, Hatfield, UK

Medical imaging technologies have an important role in the care of all human’s organs and disease entities, where they are used widely for the effective diagnosis, treatment and monitoring of the disease. The MRI has been among the most important of... Read More about Performance of grey level statistic features versus Gabor wavelet for screening MRI brain tumors : a comparative study.

Mining the crime survey to support crime profiling (2016)
Presentation / Conference
Wu, J., Meziane, F., Saraee, M., Aspin, R., & Hope, T. (2016, October). Mining the crime survey to support crime profiling. Presented at 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), Reggio Calabria, Italy

Crime surveys are conducted to record crimes by the Office for National Statistics (ONS) in the United Kingdom every year. They contain rich information about crime. They record the crimes that are not reported to the police. However, their exploitat... Read More about Mining the crime survey to support crime profiling.

A new strategy for case-based reasoning retrieval using classification based on association (2016)
Presentation / Conference
Aljuboori, A., Meziane, F., & Parsons, D. (2016, July). A new strategy for case-based reasoning retrieval using classification based on association. Presented at 12th International Conference on Machine Learning and Data Mining, New York, USA

This paper proposes a novel strategy, Case-Based Reasoning Using Association Rules (CBRAR) to improve the performance of the Similarity base Retrieval SBR, classed frequent pattern trees FP-CAR algorithm, in order to disambiguate wrongly retrieved ca... Read More about A new strategy for case-based reasoning retrieval using classification based on association.

Arabic Query Expansion Using WordNet and Association Rules (2016)
Journal Article
Abbache, A., Meziane, F., Belalem, G., & Belkredim, F. Z. (2016). Arabic Query Expansion Using WordNet and Association Rules. International Journal of Intelligent Information Technologies, 3(12), https://doi.org/10.4018/IJIIT.2016070104

Query expansion is the process of adding additional relevant terms to the original queries to improve the performance of information retrieval systems. However, previous studies showed that automatic query expansion using WordNet do not lead to an im... Read More about Arabic Query Expansion Using WordNet and Association Rules.

An item/user representation for recommender systems based on bloom filters (2016)
Presentation / Conference
systems based on bloom filters. Presented at the tenth IEEE International Conference on Research Challenges in Information Science, Grenoble, France

This paper focuses on the items/users representation in the domain of recommender systems. These systems compute similarities between items (and/or users) to recommend new items to users based on their previous preferences. It is often useful to co... Read More about An item/user representation for recommender systems based on bloom filters.

Validating the learning outcomes of an e-learning system using NLP (2016)
Journal Article
Aeiad, E., & Meziane, F. (2016). Validating the learning outcomes of an e-learning system using NLP. Lecture notes in computer science, 9612, 292-300. https://doi.org/10.1007/978-3-319-41754-7_27

Despite the development and the wide use of E-Learning, developing an adaptive personalised E-Learning system tailored to the needs of individual learners remains a challenge. In an early work, the authors proposed APELS that extracts freely avail... Read More about Validating the learning outcomes of an e-learning system using NLP.

A methodology for biomedical ontology reuse (2016)
Journal Article
Zulkarnain, N., & Meziane, F. (2016). A methodology for biomedical ontology reuse. Lecture notes in computer science, 9612, 3-14. https://doi.org/10.1007/978-3-319-41754-7_1

The abundance of biomedical ontologies is beneficial to the development of biomedical related systems. However, existing biomedical ontologies such as the National Cancer Institute Thesaurus (NCIT), Foundational Model of Anatomy (FMA) and Systemat... Read More about A methodology for biomedical ontology reuse.

Natural language processing and information systems : 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Salford, UK, June 22-24, 2016, Proceedings (2016)
Book
(2016). E. Metais, F. Meziane, M. Saraee, V. Sugumaran, S. Vadera, E. Métais, …S. Vadera (Eds.), Natural language processing and information systems : 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Salford, UK, June 22-24, 2016, Proceedings. Springer. https://doi.org/10.1007/978-3-319-41754-7

This volume of the lecture notes in computer science (LNCS) contains the papers presented at the 21st International Conference on application of Natural Language to Information Systems, held at MediacityUK, University of Salford on the 22-24 June 201... Read More about Natural language processing and information systems : 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Salford, UK, June 22-24, 2016, Proceedings.

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

This paper describes the development of an algorithm for detecting and classifying MRI brain slices into normal and abnormal by relying on prior-knowledge, that the two hemispheres of a healthy brain have approximately a bilateral symmetry. We use th... Read More about Automated screening of MRI brain scanning using grey level statistics.

Extracting Arabic causal relations using linguistic patterns (2016)
Journal Article
Sadek, J., & Meziane, F. (2016). Extracting Arabic causal relations using linguistic patterns. ACM transactions on Asian language information processing, 15(3), 14:1-14:20. https://doi.org/10.1145/2800786

Identifying semantic relations is a crucial step in discourse analysis and is useful for many applications in both language and speech technology. Automatic detection of Causal relations therefore has gained popularity in the literature within differ... Read More about Extracting Arabic causal relations using linguistic patterns.

Automated segmentation of tumours in MRI brain scans (2016)
Presentation / Conference
Hasan, A., Meziane, F., & Khadim, M. (2016, February). Automated segmentation of tumours in MRI brain scans. Presented at the 9th International Joint Conference on Biomedical Engineering Systems and Technologies, Rome, Italy

The research reported in this paper concerns the development of a novel automated algorithm to identify and segment brain tumours in MRI scans. The input is the patient's scan slices and the output is a subset of the slices that includes the tumour... Read More about Automated segmentation of tumours in MRI brain scans.