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Number of items: 26.


Udomchaiporn, A, Coenen, F ORCID: 0000-0003-1026-6649, García-Fiñana, M and Sluming, V
(2014) 3-D MRI Brain Scan Classification of Epilepsy Versus Non-epilepsy. In: MIUA'14, London.


Udomchaiporn, A, Coenen, F ORCID: 0000-0003-1026-6649, García-Fiñana, M and Sluming, V
(2014) 3D MRI Brain Scan Classification Using A Point Series Based Representation. In: DaWaK'14, Munich. (In Press)


Pratt, H, Williams, BM ORCID: 0000-0001-5930-287X, Ku, J, Coenen, F ORCID: 0000-0003-1026-6649 and Zheng, Y ORCID: 0000-0002-7873-0922
(2017) Automatic detection and identification of retinal vessel junctions in colour fundus photography. In: Medical Image Understanding and Analysis (MIUA), 2017-7-11 - 2017-7-13, Edinburgh.


Abdullahi, FB
(2016) Banded Pattern Mining For N-Dimensional Zero-One Data. PhD thesis, University of Liverpool.


Hijazi, MHA, Coenen, F ORCID: 0000-0003-1026-6649 and Zheng, Y ORCID: 0000-0002-7873-0922
(2014) Data mining for AMD screening: A classification based approach. International Journal of Simulation: Systems, Science and Technology, 15 (2). pp. 57-69.


Albarrak, A, Coenen, F ORCID: 0000-0003-1026-6649 and Zheng, Y ORCID: 0000-0002-7873-0922
(2014) Dictionary Learning-based Volumetric Image Classification for The Diagnosis of Age-related Macular Degeneration. In: MLDM'14, St Petersburg.


Alshukri, A and Coenen, F ORCID: 0000-0003-1026-6649
(2014) A Dynamic Approach To The Website Boundary Detection Problem Using Random Walks. In: WI'14, Warsaw. (In Press)


Bevan, R and Coenen, F ORCID: 0000-0003-1026-6649
(2020) Experiments in non-personalized future blood glucose level prediction. .


Pratt, H, Coenen, F ORCID: 0000-0003-1026-6649, Harding, SP ORCID: 0000-0003-4676-1158, Broadbent, DM and Zheng, Y ORCID: 0000-0002-7873-0922
(2019) Feature visualisation of classification of diabetic retinopathy using a convolutional neural network. .


Alshukri, A, Coenen, F ORCID: 0000-0003-1026-6649, Li, Y, Redfern, A and Wong, PWH ORCID: 0000-0001-7935-7245
(2014) A Framework for Brand Reputation Mining and Visualisation. In: AI 2014, Peterhouse College.


Mandya, A, Bollegala, D ORCID: 0000-0003-4476-7003 and Coenen, F ORCID: 0000-0003-1026-6649
(2020) Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction. .


Tufail, M, Coenen, F ORCID: 0000-0003-1026-6649 and Mu, T
(2014) Mining Movement Patterns from Video Data to Inform Multi Agent Based Simulation. In: ADMI'14, Paris.


Alshdaifat, E, Coenen, F ORCID: 0000-0003-1026-6649 and Dures, K
(2014) A Multi-Path Strategy for Hierarchical Ensemble Classification. In: MLDM'14, St Petersburg.


Williams, R, Konev, B ORCID: 0000-0002-6507-0494 and Coenen, F ORCID: 0000-0003-1026-6649
(2014) Multi-agent environment exploration with AR.Drones. In: TAROS'14, Birmingham. (In Press)


Williams, RM
(2017) Multi-robot Collaborative Visual Navigation with Micro Aerial Vehicles. PhD thesis, University of Liverpool.


Abdullahi, F, Coenen, F ORCID: 0000-0003-1026-6649 and Martin, R ORCID: 0000-0002-7043-503X
(2014) Novel Approach for Identifying Banded Patterns In Zero-One Data Using Column and Row Banding Scores. In: MLDM'14, St Petersburg.


El Salhi, S, Coenen, F ORCID: 0000-0003-1026-6649, Dixon, C ORCID: 0000-0002-4610-9533 and Khan, MS
(2015) Predicting "springback" using 3D surface representation techniques: A case study in sheet metal forming. EXPERT SYSTEMS WITH APPLICATIONS, 42 (1). pp. 79-93.


Elsayed, A, Coenen, F ORCID: 0000-0003-1026-6649, García-Fiñana, M and Sluming, V
(2012) Region Of Interest Based Image Classification: A Study in MRI Brain Scan Categorization. In: Data Mining Applications in Engineering and Medicine. InTech - Open Science,Slavka Krautzeka, Croatia, pp. 225-248.


Abdullahi, F, Coenen, F ORCID: 0000-0003-1026-6649 and Martin, R ORCID: 0000-0002-7043-503X
(2014) A Scalable Algorithm for Banded Pattern Mining In Multi-Dimensional Zero-One Data. In: DaWaK'14, Munich.


Alhijaillan, H, Coenen, F ORCID: 0000-0003-1026-6649, Dukes-McEwan, J ORCID: 0000-0002-0326-8251 and Thiyalgalingam, J
Segmenting Sound Waves to Support Phonocardiogram Analysis: The PCGseg Approach. In: 15th Pacific Rim International Conference on Artificial Intelligence, 2018-8-27 - 2018-8-31, Nanjing, China. (Submitted)


Alhijaillan, H, Coenen, F ORCID: 0000-0003-1026-6649, Dukes-McEwan, J ORCID: 0000-0002-0326-8251 and Thiyalgalingam, J
(2018) Segmenting sound waves to support Phonocardiogram analysis: the PCGseg Approach. In: Society for the study of artificial intelligence and simulation of behaviour (AISB), Liverpool.


Qian, R-Q, Yue, Y, Coenen, F ORCID: 0000-0003-1026-6649 and Zhang, B-L
(2016) Traffic Sign Recognition with Convolutional Neural Network Based on Max Pooling Positions. In: 12th International Conference on Natural Computation and 13th Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), IEEE, 2016-7-10 - 2016-7-13.


Aldosari, H, Coenen, F ORCID: 0000-0003-1026-6649, Lip, GYH ORCID: 0000-0002-7566-1626 and Zheng, Y ORCID: 0000-0002-7873-0922
(2022) Two-dimensional Motif Extraction from Images: A Study using an Electrocardiogram. .


Yan, C
(2016) Vision-based Driver Behaviour Analysis. PhD thesis, University of Liverpool.


Nohuddin, P, Coenen, F ORCID: 0000-0003-1026-6649 and Christley, R ORCID: 0000-0001-9250-3032
(2016) The application of social network mining to cattle movement analysis: introducing the predictive trend mining framework. Social Network Analysis and Mining, 6 (1). 45:1-45:1.


Albashiri, KA, Coenen, F ORCID: 0000-0003-1026-6649 and Leng, P
(2012) An investigation into the issues of multi-agent data mining. Doctor of Philosophy thesis, University of Liverpool.

This list was generated on Sun Mar 10 18:16:53 2024 GMT.