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Number of items: 13.


Coenen, Frans ORCID: 0000-0003-1026-6649, Alshehri, M and Dures, Keith
(2021) Candidate Reduction and Enhanced Sub-Sequence-Based Dynamic Time Warping: A Hybrid Approach. .


Coenen, Frans ORCID: 0000-0003-1026-6649, Dures, Keith and Alshehri, M
(2020) Candidates Reduction Coupled with Enhanced Sub-Sequence-Based Dynamic Time Warping. .


Alshehri, Mohammed, Coenen, Frans ORCID: 0000-0003-1026-6649 and Dures, Keith
(2020) Candidates Reduction and Enhanced Sub-Sequence-Based Dynamic Time Warping: A Hybrid Approach. .


Almutairi, Nawal, Coenen, Frans ORCID: 0000-0003-1026-6649 and Dures, Keith
(2018) Data Clustering using Homomorphic Encryption and Secure Chain Distance Matrices. .


Alshdaifat, Esra'a, Coenen, Frans ORCID: 0000-0003-1026-6649 and Dures, Keith
(2017) A Directed Acyclic Graph (DAG) Ensemble Classification Model: An Alternative Architecture for Hierarchical Classification. INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING, 13 (3). pp. 73-90.


Alshdaifat, Esra'a, Coenen, Frans ORCID: 0000-0003-1026-6649 and Dures, Keith
(2015) A Directed Acyclic Graph Based Approach to Multi-Class Ensemble Classification. In: AI-2015 Thirty-fifth SGAI International Conference on Artificial Intelligence, 2015-12-15 - 2015-12-17, Cambridge UK. (Submitted)


Alshehri, Mohammed, Coenen, Frans ORCID: 0000-0003-1026-6649 and Dures, Keith
(2021) Motif-based Classification using Enhanced Sub-Sequence-Based Dynamic Time Warping. In: 10th International Conference on Data Science, Technology and Applications, 2021-7-6 - 2021-7-8.


Almutairi, Nawal, Coenen, Frans ORCID: 0000-0003-1026-6649 and Dures, Keith
(2023) PPNNBP: A Third Party Privacy-Preserving Neural Network With Back-Propagation Learning. IEEE ACCESS, 11. pp. 31657-31675.


Almutairi, Nawal
(2020) Privacy Preserving Third Party Data Mining Using Cryptography. PhD thesis, University of Liverpool.


Almutairi, Nawal, Coenen, Frans ORCID: 0000-0003-1026-6649 and Dures, Keith
(2020) Secure Outsourced kNN Data Classification over Encrypted Data Using Secure Chain Distance Matrices. .


Coenen, FP ORCID: 0000-0003-1026-6649, Almutairi, Nawal and Dures, Keith
(2018) Secure Third Party Data Clustering Using Φ Data: Multi-User Order Preserving Encryption and Super Secure Chain Distance Matrices. In: Artificial Intelligence, Cambridge.


Alshehri, Mohammed
(2022) Six Approaches to Enhancing the Efficiency of Dynamic Time Warping: A Study Using Nearest Neighbour Classification. Doctor of Philosophy thesis, University of Liverpool.


Almutairi, Nawal, Coenen, Frans ORCID: 0000-0003-1026-6649 and Dures, Keith
(2018) Third Party Data Clustering Over Encrypted Data Without Data Owner Participation: Introducing the Encrypted Distance Matrix. .

This list was generated on Sat Dec 23 16:34:51 2023 GMT.