Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Research Publications


Publications for Georgina Cosma

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Journal Articles

Hood, S, Cosma, G, A, GF, Johnson, C, Reeder, S, E, SM, Khan, M, A, GP (2020) Identifying prostate cancer and its clinical risk in asymptomatic men using machine learning of high dimensional peripheral blood flow cytometric natural killer cell subset phenotyping data, eLife, 9, e50936, ISSN: 2050-084X. DOI: 10.7554/eLife.50936.

Taherkhani, A, Cosma, G, McGinnity, M (2020) AdaBoost-CNN: an adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning, Neurocomputing, 404, pp.351-366, ISSN: 0925-2312. DOI: 10.1016/j.neucom.2020.03.064.

Turabee, G, Khowja, MR, Giangrande, P, Madonna, V, Cosma, G, Vaki, G, Gerada, C, Galea, M (2020) The role of neural networks in predicting the thermal life of electrical machines, IEEE Access, 8, pp.40283-40297, DOI: 10.1109/access.2020.2975985.

Taherkhani, A, Belatreche, A, Li, Y, Cosma, G, Maguire, LP, McGinnity, TM (2019) A review of learning in biologically plausible spiking neural networks, Neural Networks, 122, pp.253-272, ISSN: 0893-6080. DOI: 10.1016/j.neunet.2019.09.036.

Cosma, G and Mcginnity, TM (2019) Feature extraction and classification using leading eigenvectors: Applications to biomedical and multi-modal mHealth data, IEEE Access, 7, pp.107400-107412, DOI: 10.1109/access.2019.2932868.

Alfrjani, R, Osman, T, Cosma, G (2019) A Hybrid Semantic Knowledgebase-Machine Learning Approach for Opinion Mining, Data & Knowledge Engineering, 121, pp.88-108, ISSN: 0169-023X. DOI: 10.1016/j.datak.2019.05.002.

Taherkhani, A, Cosma, G, McGinnity, TM (2019) Optimization of output spike train encoding for a spiking neuron based on its spatiotemporal input pattern, IEEE Transactions on Cognitive and Developmental Systems ( Early Access ), ISSN: 2379-8920. DOI: 10.1109/TCDS.2019.2909355.

Taherkhani, A, Cosma, G, McGinnity, TM (2018) Deep-FS: A feature selection algorithm for Deep Boltzmann Machines, Neurocomputing, 322, pp.22-37, ISSN: 0925-2312. DOI: 10.1016/j.neucom.2018.09.040.

Cosma, G, McArdle, SE, Reeder, S, Foulds, GA, Hood, S, Khan, M, Pockley, AG (2017) Identifying the presence of prostate cancer in individuals with PSA levels <20 ng ml−1 using computational data extraction analysis of high dimensional peripheral blood flow cytometric phenotyping data, Frontiers in Immunology, 8(DEC), ARTN 1771, ISSN: 1664-3224. DOI: 10.3389/fimmu.2017.01771.

Cosma, G, Joy, M, Sinclair, J, Andreou, M, Zhang, D, Cook, B, Boyatt, R (2017) Perceptual Comparison of Source-Code Plagiarism within Students from UK, China, and South Cyprus Higher Education Institutions, ACM Transactions on Computing Education, 17(2), pp.1-16, ISSN: 1946-6226. DOI: 10.1145/3059871.

Cosma, G, Brown, D, Archer, M, Khan, M, Graham Pockley, A (2017) A survey on computational intelligence approaches for predictive modeling in prostate cancer, Expert Systems with Applications, 70, pp.1-19, ISSN: 0957-4174. DOI: 10.1016/j.eswa.2016.11.006.

Cosma, G, Joy, M, Sinclair, JE, Andreou, M, Zhang, D, Cook, B, Boyatt, R (2017) Perceptual Comparison of Source-Code Plagiarism within Students from UK, China, and South Cyprus Higher Education Institutions, ACM Trans. Comput. Educ, 17, pp.8:1-8:1.

Cosma, G, Brown, D, Shopland, N, Battersby, S, Seymour-Smith, S, Archer, M, Khan, M, Pockley, AG (2016) PROCEE: a PROstate Cancer Evaluation and Education serious game for African Caribbean men, Journal of Assistive Technologies, 10(4), pp.199-210, ISSN: 1754-9450. DOI: 10.1108/jat-12-2015-0035.

Seymour-Smith, S, Brown, D, Cosma, G, Shopland, N, Battersby, S, Burton, A (2016) “Our people has got to come to terms with that”: changing perceptions of the digital rectal examination as a barrier to prostate cancer diagnosis in African-Caribbean men, Psycho-Oncology, 25(10), pp.1183-1190, ISSN: 1057-9249. DOI: 10.1002/pon.4219.

Cosma, G and Acampora, G (2016) A computational intelligence approach to efficiently predicting review ratings in e-commerce, Applied Soft Computing, 44, pp.153-162, ISSN: 1568-4946. DOI: 10.1016/j.asoc.2016.02.024.

Cosma, G, Acampora, G, Brown, D, Rees, RC, Khan, M, Pockley, AG (2016) Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model, PLOS ONE, 11(6), pp.e0155856-e0155856, DOI: 10.1371/journal.pone.0155856.

Zhang, D, Joy, M, Cosma, G, Boyatt, R, Sinclair, J, Yau, J (2015) Source-code plagiarism in universities: a comparative study of student perspectives in China and the UK (Retraction of vol 39, pg 743, 2014), ASSESSMENT & EVALUATION IN HIGHER EDUCATION, 40(2), pp.330-330, ISSN: 0260-2938. DOI: 10.1080/02602938.2014.1000001.

Zhang, D, Joy, M, Cosma, G, Boyatt, R, Sinclair, J, Yau, J (2014) Source-code plagiarism in universities: a comparative study of student perspectives in China and the UK, Assessment & Evaluation in Higher Education, 39(6), pp.743-758, ISSN: 0260-2938. DOI: 10.1080/02602938.2013.870122.

Cosma, G and Joy, M (2012) Evaluating the performance of LSA for source-code plagiarism detection, Informatica (Slovenia), 36(4), pp.409-424, ISSN: 0350-5596.

Cosma, G and Joy, M (2012) An Approach to Source-Code Plagiarism Detection and Investigation Using Latent Semantic Analysis, IEEE Transactions on Computers, 61(3), pp.379-394, ISSN: 0018-9340. DOI: 10.1109/tc.2011.223.

Joy, M, Cosma, G, Yau, JY-K, Sinclair, J (2011) Source Code Plagiarism—A Student Perspective, IEEE Transactions on Education, 54(1), pp.125-132, ISSN: 0018-9359. DOI: 10.1109/te.2010.2046664.

Mozgovoy, M, Kakkonen, T, Cosma, G (2010) Automatic Student Plagiarism Detection: Future Perspectives, Journal of Educational Computing Research, 43(4), pp.511-531, ISSN: 0735-6331. DOI: 10.2190/ec.43.4.e.

Cosma, G and Joy, M (2008) Towards a Definition of Source-Code Plagiarism, IEEE Transactions on Education, 51(2), pp.195-200, ISSN: 0018-9359. DOI: 10.1109/te.2007.906776.



Conferences

Turabee, G, Cosma, G, Madonna, V, Giangrande, P, Khowja, MR, Vakil, G, Gerada, C, Galea, M (2020) Predicting insulation resistance of enamelled wire using neural network and curve fit methods under thermal aging. In 2020 International Joint Conference on Neural Networks (IJCNN); 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, Scotland, pp.1-7, ISBN: 9781728169262. DOI: 10.1109/ijcnn48605.2020.9207378.

Alani, AA, Cosma, G, Taherkhani, A (2020) Classifying imbalanced multi-modal sensor data for human activity recognition in a smart home using deep learning. In 2020 International Joint Conference on Neural Networks (IJCNN); 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, U.K, pp.1-8, ISBN: 9781728169262. DOI: 10.1109/ijcnn48605.2020.9207697.

Ogun, O, Enoh, M, Cosma, G, Taherkhani, A, Madonna, V (2020) Enhancing prediction in cyclone separators through computational intelligence. In 2020 IEEE Congress on Evolutionary Computation (CEC); 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, U.K, pp.1-8, ISBN: 9781728169293. DOI: 10.1109/cec48606.2020.9185663.

Oloruntoba, O, Cosma, G, Liotta, A (2019) Clan-based cultural algorithm for feature selection. In , IEEE International Conference on Data Mining Workshops, ICDMW, pp.465-472, ISBN: 9781728146034. DOI: 10.1109/ICDMW.2019.00073.

Turabee, G, Shen, Y, Cosma, G (2019) Interpreting the Filters in the First Layer of a Convolutional Neural Network for Sleep Stage Classification. In Ju, Z, Yang, L, Yang, C, Gegov, A, Zhou, D (ed) UKCI 2019, Advances in Intelligent Systems and Computing, Portsmouth. DOI: 10.1007/978-3-030-29933-0_12.

Cosma, G, Machado, P, McGinnity, TM (2019) NatCSNN: a convolutional spiking neural network for recognition of objects extracted from natural images. In ICANN 2019: 28th International Conference on Artificial Neural Networks, Munich, Germany. DOI: 10.1007/978-3-030-30487-4_28.

Taherkhani, A, Cosma, G, Alani, AA, McGinnity, TM (2019) Activity Recognition from Multi-modal Sensor Data Using a Deep Convolutional Neural Network. In , pp.203-218, ISBN: 9783030011765. DOI: 10.1007/978-3-030-01177-2_15.

Oloruntoba, O and Cosma, G (2019) A Modified Cultural Algorithm for Feature Selection of Biomedical Data. In , Advances in Intelligent Systems and Computing, pp.166-177, ISBN: 9783030228675. DOI: 10.1007/978-3-030-22868-2_13.

Vourgidis, I, Mafuma, SJ, Wilson, P, Carter, J, Cosma, G (2019) Medical Expert Systems – A Study of Trust and Acceptance by Healthcare Stakeholders. In , pp.108-119, ISBN: 9783319979816. DOI: 10.1007/978-3-319-97982-3_9.

Salesi, S, Alani, AA, Cosma, G (2018) A Hybrid Model for Classification of Biomedical Data Using Feature Filtering and a Convolutional Neural Network. In 2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS). DOI: 10.1109/snams.2018.8554958.

Bharadi, V, Pandva, B, Cosma, G (2018) Multi-Modal Biometric Recognition Using Human Iris and Dynamic Pressure Variation of Handwritten Signatures. In 2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS). DOI: 10.1109/snams.2018.8554960.

Bharadi, VA, Shah, DN, Thapa, NT, Pandya, BH, Cosma, G (2018) Multi-Instance Iris Recognition. In 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA). DOI: 10.1109/iccubea.2018.8697811.

Machado, P, Oikonomou, A, Cosma, G, McGinnity, TM (2018) Bio-Inspired Ganglion Cell Models for Detecting Horizontal and Vertical Movements. In 2018 International Joint Conference on Neural Networks (IJCNN). DOI: 10.1109/ijcnn.2018.8489439.

Alani, AA, Cosma, G, Taherkhani, A, McGinnity, TM (2018) Hand gesture recognition using an adapted convolutional neural network with data augmentation. In 2018 4th International Conference on Information Management (ICIM). DOI: 10.1109/infoman.2018.8392660.

Maaji, SS, Cosma, G, Taherkhani, A, Alani, AA, McGinnity, TM (2018) On-line voltage stability monitoring using an Ensemble AdaBoost classifier. In 2018 4th International Conference on Information Management (ICIM). DOI: 10.1109/infoman.2018.8392845.

Pandya, B, Cosma, G, Alani, AA, Taherkhani, A, Bharadi, V, McGinnity, TM (2018) Fingerprint classification using a deep convolutional neural network. In 2018 4th International Conference on Information Management (ICIM). DOI: 10.1109/infoman.2018.8392815.

Bharadi, VA, Shah, DN, Thapa, NT, Pandya, BH, Cosma, G, IEEE, (2018) Multi-Instance Iris Recognition Using an Augmented Webber Local Descriptor based Feature Vector. In , 2018 FOURTH INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION CONTROL AND AUTOMATION (ICCUBEA).

Salesi, S and Cosma, G (2017) A novel extended binary cuckoo search algorithm for feature selection. In 2017 2nd International Conference on Knowledge Engineering and Applications (ICKEA),ISBN: 9781538621493. DOI: 10.1109/ickea.2017.8169893.

Alfrjani, R, Osman, T, Cosma, G (2017) Exploiting domain knowledge and public linked data to extract opinions from reviews. In 2017 2nd International Conference on Knowledge Engineering and Applications (ICKEA),ISBN: 9781538621493. DOI: 10.1109/ickea.2017.8169909.

Redmond, M, Salesi, S, Cosma, G (2017) A novel approach based on an extended cuckoo search algorithm for the classification of tweets which contain Emoticon and Emoji. In 2017 2nd International Conference on Knowledge Engineering and Applications (ICKEA),ISBN: 9781538621493. DOI: 10.1109/ickea.2017.8169894.

Mirza, OM, Joy, M, Cosma, G (2017) Suitability of BlackBox dataset for style analysis in detection of source code plagiarism. In 2017 Seventh International Conference on Innovative Computing Technology (INTECH). DOI: 10.1109/intech.2017.8102424.

Alzubaidi, A and Cosma, G (2017) A multivariate feature selection framework for high dimensional biomedical data classification. In 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). DOI: 10.1109/cibcb.2017.8058528.

Cosma, G, Brown, D, Battersby, S, Kettley, S, Kettley, R (2017) Analysis of multimodal data obtained from users of smart textiles designed for mental wellbeing. In 2017 International Conference on Internet of Things for the Global Community (IoTGC). DOI: 10.1109/iotgc.2017.8008974.

Mirza, OM, Joy, M, Cosma, G (2017) Style Analysis for Source Code Plagiarism Detection — An Analysis of a Dataset of Student Coursework. In 2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT). DOI: 10.1109/icalt.2017.117.

Alzubaidi, A, Cosma, G, IEEE, (2017) A Multivariate Feature Selection Framework for High Dimensional Biomedical Data Classification. In , 2017 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY (CIBCB), pp.59-66.

Alzubaidi, A, Cosma, G, Brown, D, Pockley, AG (2016) A new hybrid global optimization approach for selecting clinical and biological features that are relevant to the effective diagnosis of ovarian cancer. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI). DOI: 10.1109/ssci.2016.7849954.

Alzubaidi, A, Cosma, G, Brown, D, Pockley, AG (2016) Breast Cancer Diagnosis Using a Hybrid Genetic Algorithm for Feature Selection Based on Mutual Information. In 2016 International Conference on Interactive Technologies and Games (iTAG), 2016 International Conference on Interactive Technologies and Games (ITAG). DOI: 10.1109/itag.2016.18.

Alfrjani, R, Osman, T, Cosma, G (2016) A New Approach to Ontology-Based Semantic Modelling for Opinion Mining. In 2016 UKSim-AMSS 18th International Conference on Computer Modelling and Simulation (UKSim). DOI: 10.1109/uksim.2016.15.

Cosma, G, Shopland, N, Battersby, S, Seymour-Smith, S, Pockley, AG, Archer, M, Thompson, R, Khan, M, Brown, D (2015) Co-design of a Prostate Cancer Serious Game for African Caribbean Men. In 2015 International Conference on Interactive Technologies and Games (iTAG), 2015 International Conference on Interactive Technologies and Games. DOI: 10.1109/itag.2015.20.

Acampora, G and Cosma, G (2015) A Fuzzy-based approach to programming language independent source-code plagiarism detection. In 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). DOI: 10.1109/fuzz-ieee.2015.7337935.

Acampora, G and Cosma, G (2015) A Comparison of Fuzzy Approaches to E-Commerce Review Rating Prediction. In , PROCEEDINGS OF THE 2015 CONFERENCE OF THE INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY, pp.1223-1230.

Acampora, G and Cosma, G (2014) A hybrid computational intelligence approach for efficiently evaluating customer sentiments in E-commerce reviews. In 2014 IEEE Symposium on Intelligent Agents (IA). DOI: 10.1109/ia.2014.7009461.

Brown, D, Cosma, G, Acampora, G, Seymour-Smith, S, Close, A (2014) An Intelligent Serious Game for Supporting African and African Caribbean Men during Pre- and Post-Diagnosis of Prostate Cancer. In 2014 International Conference on Interactive Technologies and Games (iTAG), 2014 International Conference on Interactive Technologies and Games. DOI: 10.1109/itag.2014.9.

Acampora, G, Cosma, G, Osman, T (2014) An extended neuro-fuzzy approach for efficiently predicting review ratings in E-markets. In 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). DOI: 10.1109/fuzz-ieee.2014.6891829.

Walling, M, Burch, J, Rush, A, Hennesey, M, Craven, W, Finlayson, C, Anderson, B, Cosma, G, Wells, R (2006) Associations between gross breast cyst composition and breast cancer risk factors. In , AMERICAN JOURNAL OF EPIDEMIOLOGY, pp.S101-S101, DOI: 10.1093/aje/163.suppl_11.S101-b.



Chapters

Cosma, G and Acampora, G (2016) Neuro-Fuzzy Sentiment Analysis for Customer Review Rating Prediction. In Sentiment Analysis and Ontology Engineering, Springer International Publishing, pp.379-397, ISBN: 9783319303178. DOI: 10.1007/978-3-319-30319-2_15.



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