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

Conference paper


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
AuthorsSami, N., Makkar, A., Meziane, F. and Conway, M.
TypeConference paper
Abstract

Alzheimer’s disease (AD) is a debilitating, irreversible neurological condition that leads to a severe decline in patients’ health, often resulting in fatality. Detecting AD and its early stages, such as mild cognitive impairment (MCI), which can manifest as stable (sMCI) or progressing (pMCI), is crucial for effective treatment planning and personalized therapy. Recent advancements in noninvasive retinal imaging technologies, including Optical Coherence Tomography (OCT), OCT angiography, and digital retinal photography, have enabled the examination of the neuronal and vascular structure of the retina in AD patients. Furthermore, the development of computer algorithms tailored to these imaging techniques has significantly enhanced AD research. This paper presents a comprehensive study on early AD identification that leverages state-of-the-art deep learning techniques and medical images or scans. It also explains the potential benefits of using emerging retinal scans for enhanced detection. It also explains various deep learning techniques that harness both local and global features to enhance accuracy by utilizing extensive scan data.

KeywordsAlzheimer’s disease (AD); Retinal imaging ; Deep learning
Year2024
ConferenceInternational Conference on Recent Trends in Image Processing and Pattern Recognition
PublisherSpringer
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-031-53085-2_17
Web address (URL)https://link.springer.com/chapter/10.1007/978-3-031-53085-2_17
ISBN978-3-031-53085-2
Output statusPublished
Publication dates
Online31 Jan 2024
Publication process dates
Deposited07 Mar 2024
Permalink -

https://repository.derby.ac.uk/item/q512w/exploring-imaging-biomarkers-for-early-detection-of-alzheimer-s-disease-using-deep-learning-a-comprehensive-analysis

  • 6
    total views
  • 0
    total downloads
  • 2
    views this month
  • 0
    downloads this month

Export as

Related outputs

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
Preserving Accuracy in Federated Learning via Equitable Model and Efficient Aggregation
Mehdi, M., Makkar, A., Conway, M. and Sama. L 2024. Preserving Accuracy in Federated Learning via Equitable Model and Efficient Aggregation. International Conference on Recent Trends in Image Processing and Pattern Recognition. Springer Nature. https://doi.org/10.1007/978-3-031-53082-1_7
Effects of carotenoids on mitochondrial dysfunction
Ademowo, S., Oyebode, O., Edward, R., Conway, M., Griffiths, H. and Dias, I. H. K. 2024. Effects of carotenoids on mitochondrial dysfunction. Biochemical Society Transactions. 52 (1), p. 65–74. https://doi.org/10.1042/BST20230193
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
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
Advancements in enhancing cyber-physical system security: Practical deep learning solutions for network traffic classification and integration with security technologies
Gaba, S., Budhiraja, S., Kumar, V. and Makkar, A. Advancements in enhancing cyber-physical system security: Practical deep learning solutions for network traffic classification and integration with security technologies. Communications in Analysis and Mechanics. 21 (1), pp. 1527-155. https://doi.org/10.3934/mbe.2024066
SecureFed: federated learning empowered medical imaging technique to analyze lung abnormalities in chest X‑rays
Makkar, A. and Santosh, K. C. 2023. SecureFed: federated learning empowered medical imaging technique to analyze lung abnormalities in chest X‑rays. International Journal of Machine Learning and Cybernetics. 14, p. 2659–2670. https://doi.org/10.1007/s13042-023-01789-7
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
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.
A Fuzzy-based approach to Enhance Cyber Defence Security for Next-generation IoT
Makkar, A., Ghosh, U., Sharma, P.K. and Javed, A. 2023. A Fuzzy-based approach to Enhance Cyber Defence Security for Next-generation IoT. IEEE Internet of Things Journal. Vol 10 (Issue 3), pp. 2079-2086. https://doi.org/10.1109/jiot.2021.3053326
BCAT1 redox function maintains mitotic fidelity
Francois, L., Boskovic, P., Knerr, J., He, W., Sigismondo, G., Schwan, C., More, T. H., Schlotter, M., Conway, M., Krijgsveld, J., Hiller, K. and Grosse, R. 2023. BCAT1 redox function maintains mitotic fidelity. Cell Reports. 42 (3), pp. 1-25.
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
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
Quantum Machine Learning Driven Malicious User Prediction for Cloud Network Communications
Gupta, R., Saxena. R., Gupta, I., Makkar, A. and Sing, A. K. 2022. Quantum Machine Learning Driven Malicious User Prediction for Cloud Network Communications. IEEE Networking Letters . 4 (4), pp. 174-178. https://doi.org/https://doi.org/10.1109/LNET.2022.3200724
SecureEngine: Spammer classification in cyber defence for leveraging green computing in Sustainable city
Aaisha Makkar 2022. SecureEngine: Spammer classification in cyber defence for leveraging green computing in Sustainable city. Sustainable Cities and Society. 79 (April 2022), p. 103658. https://doi.org/10.1016/j.scs.2021.103658
SecureIIoT Environment: Federated Learning Empowered Approach for Securing IIoT From Data Breach
Aaisha Makkar, Tae Woo Kim, Ashutosh Kumar Singh, Jungho Kang and Jong Hyuk Park 2022. SecureIIoT Environment: Federated Learning Empowered Approach for Securing IIoT From Data Breach. IEEE Transactions on Industrial Informatics. 18 (9), pp. 6406 - 6414. https://doi.org/10.1109/tii.2022.3149902
The BCAT1 CXXC Motif Provides Protection against ROS in Acute Myeloid Leukaemia Cells
Hillier, J., Allcott, G. J., Guest, A. L., Heaselgrave, W., Tonks, A., Conway, M., Cherry, A. L. and Coles, S. J. 2022. The BCAT1 CXXC Motif Provides Protection against ROS in Acute Myeloid Leukaemia Cells. Antioxidants. 11 (4), pp. 1-23. https://doi.org/10.3390/antiox11040683
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
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
Visualization and deep-learning-based malware variant detection using OpCode-level features
Darem, A., Abawajy, J., Makkar, A., Alhashmi, A. and Alanazi, S. 2021. Visualization and deep-learning-based malware variant detection using OpCode-level features. Future Generation Computer Systems. Vol 125 (Dec 2021), pp. 314-323. https://doi.org/10.1016/j.future.2021.06.032
An Efficient Spam Detection Technique for IoT Devices Using Machine Learning
Makkar, A., Garg, S., Kumar, N., Hossain, M.S., Ghoneim, A. and Alrashoud, M. 2021. An Efficient Spam Detection Technique for IoT Devices Using Machine Learning. IEEE Transactions on Industrial Informatics. Vol 17 (Issue 2), pp. 903-912. https://doi.org/10.1109/tii.2020.2968927
PROTECTOR: An optimized deep learning-based framework for image spam detection and prevention
Makkar, A. and Kumar, N. 2021. PROTECTOR: An optimized deep learning-based framework for image spam detection and prevention. Future Generation Computer Systems. 125 (Dec 2021), pp. 41-58. https://doi.org/10.1016/j.future.2021.06.026
Artificial Intelligence and Edge Computing-enabled Web Spam Detection for Next Generation IoT Applications
Makkar, A., Ghosh, U. and Sharma, P.K. 2021. Artificial Intelligence and Edge Computing-enabled Web Spam Detection for Next Generation IoT Applications. IEEE Sensors Journal. 21 (Issue: 22), pp. 25352 - 25361. https://doi.org/10.1109/jsen.2021.3066492
FedLearnSP: Preserving Privacy and Security using Federated Learning and Edge Computing
Makkar, A., Ghosh, U., Rawat, D.B. and Abawajy, J. 2021. FedLearnSP: Preserving Privacy and Security using Federated Learning and Edge Computing. IEEE. https://doi.org/10.1109/mce.2020.3048926
Ai based management of food wastage
Sama, L., Makkar, A., Prokshitha, P., Sharma, B.K. and Dhaloria, D. 2021. Ai based management of food wastage. 2021 International Semantic Intelligence Conference, ISIC 2021; New Delhi; India; 25 February 2021 through 27 February 2021; Code 167510. CEUR Workshops Proceedings.
An Intelligent Phishing Detection Scheme Using Machine Learning
Makkar, A., Kumar, N., Sama, L., Mishra, S. and Samdani, Y. Giri D., Buyya R., Ponnusamy S., De D., Adamatzky A. and Abawajy J.H. (ed.) An Intelligent Phishing Detection Scheme Using Machine Learning. Springer.
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
SPAMI: A cognitive spam protector for advertisement malicious images
Makkar, A., Kumar, N., Zomaya, A.Y. and Dhiman, S. 2020. SPAMI: A cognitive spam protector for advertisement malicious images. Information Sciences. 540 (Nov 2020), pp. 17-37. https://doi.org/10.1016/j.ins.2020.05.113
An efficient deep learning-based scheme for web spam detection in IoT environment
Makkar, A. and Kumar, N. 2020. An efficient deep learning-based scheme for web spam detection in IoT environment. Future Generation Computer Systems. 108 (July 2020), pp. 467-487. https://doi.org/10.1016/j.future.2020.03.004
DIADL: An Energy Efficient Framework for Detecting Intrusion Attack Using Deep LearnIing
Sama, L., Makkar, A., Mishra, S.K. and Samdani, Y. 2020. DIADL: An Energy Efficient Framework for Detecting Intrusion Attack Using Deep LearnIing. 12th International Conference on Computer Modeling and Simulation, ICCMS 2020 and the 9th International Conference on Intelligent Computing and Applications. ICICA 2020; Virtual, Online; Australia; 22 June 2020 through 24 June 2020; Code 162275. ACM. https://doi.org/10.1145/3408066.3408107
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
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
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
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
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
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
The Power of AI in IoT : Cognitive IoT-based Scheme for Web Spam Detection
Makkar, A., Kumar, N. and Guizani, M. 2019. The Power of AI in IoT : Cognitive IoT-based Scheme for Web Spam Detection. 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019; Xiamen; China; 6 December 2019 through 9 December 2019; Category numberCFP19COI-ART; Code 157933. IEEE. https://doi.org/10.1109/ssci44817.2019.9002885
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
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.
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
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
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
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
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
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
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
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
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
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
FS2RNN: Feature Selection Scheme for Web Spam Detection Using Recurrent Neural Networks
Makkar, A., Obaidat, M.S. and Kumar, N. 2018. FS2RNN: Feature Selection Scheme for Web Spam Detection Using Recurrent Neural Networks. 2018 IEEE Global Communications Conference, GLOBECOM 2018; Abu Dhabi National Exhibition Centre (ADNEC) Abu Dhabi; United Arab Emirates; 9 December 2018 through 13 December 2018; Category number CFP18GLO-ART; Code 145422. IEEE. https://doi.org/10.1109/glocom.2018.8647294
User behavior analysis-based smart energy management for webpage ranking: Learning automata-based solution
Makkar, A. and Kumar, N. 2018. User behavior analysis-based smart energy management for webpage ranking: Learning automata-based solution. Sustainable Computing: Informatics and Systems. Vol 20 (Dec 2018), pp. 174-191. https://doi.org/10.1016/j.suscom.2018.02.003
Cognitive spammer: A Framework for PageRank analysis with Split by Over-sampling and Train by Under-fitting
Makkar, A. and Kumar, N. 2018. Cognitive spammer: A Framework for PageRank analysis with Split by Over-sampling and Train by Under-fitting. Future Generation Computer Systems. 90 (January 2019), pp. 381-404. https://doi.org/10.1016/j.future.2018.07.046
QAIR: Quality Assessment Scheme for Information Retrieval in IoT Infrastructures
Makkar, A., Kumar, N., Obaidat, M.S. and Hsiao, K.-F. 2018. QAIR: Quality Assessment Scheme for Information Retrieval in IoT Infrastructures. 2018 IEEE Global Communications Conference. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/glocom.2018.8647180
Spammer classification using ensemble methods over content-based features
Makkar, A. and Goel, S. Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das, Arvind Kumar Lal, Harish Garg, Atulya K. Nagar and Millie Pant (ed.) 2017. Spammer classification using ensemble methods over content-based features. Springer Verlag.
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
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.
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
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
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
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
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
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.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
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
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
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
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
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
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
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
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.
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
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 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.