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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

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Number of items at this level: 133.

A

Addison, Dale, McGarry, Kenneth, Wermter, Stefan and MacIntyre, John (2004) Stepwise Linear Regression Dimensionality Reduction in Neural Network Modelling. In: Proceedings of the International Conference on Artificial Intelligence and Applications, 16-18 February 2004, Innsbruck, Austria.

Adgar, Adam, Cox, Chris, Emmanouilidis, Christos, MacIntyre, John, Mattison, peter, McGarry, Kenneth, Oatley, Giles and Taylor, Odin (1998) The application of adaptive systems in condition monitoring. International Journal of Condition Monitoring and Engineering Management, 1. pp. 13-17.

Adgar, Adam, Emmanouilidis, Christos and McGarry, Kenneth (1999) Combination of modelling techniques for fault diagnosis of rotating machinery using vibration analysis. In: 12th International Congress on Condition Monitoring and Engineering Management, 6-8 Jul 1999, University of Sunderland.

Alabbas, Maytham, Khudeyer, Raidah S. and Jaf, Sardar (2016) Improved Arabic Characters Recognition by Combining Multiple Machine Learning Classifiers. In: the 20th International Conference on Asian Language Processing, IALP'16 pages = 262--265, address = Tainan, Taiwan, publisher = IEEE.

Algharibeh, Moath, Husari, Gaith and Jaf, Sardar (2021) A Data-Driven Password Strength Meter for Cybersecurity Assessment and Enhancement. In: The 7th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications, 20-22 Dec 2021, Haikou. (Unpublished)

Allen, Becky (2023) A Human-Centered Artificial Intelligence Approach to Adaptable Digital Musical Instrument Development. In: CHIME Annual One-day Music and HCI Workshop, 04 Dec 2023, The Open University, Milton Keynes, UK.

Almadhoun, Randa, Abduldayem, Abdullah, Taha, Tarek, Seneviratne, Lakmal and Zweiri, Yahya (2019) Guided Next Best View for 3D Reconstruction of Large Complex Structures. Remote Sensing, 11 (20). p. 2440. ISSN 2072-4292

Almadhoun, Randa, Taha, Tarek, Dias, Jorge, Seneviratne, Lakmal and Zweiri, Yahya (2019) Coverage Path Planning for Complex Structures Inspection Using Unmanned Aerial Vehicle (UAV). Lecture Notes in Computer Science, 11744. pp. 243-266. ISSN 0302-9743

Almadhoun, Randa, Taha, Tarek, Seneviratne, Lakmal, Dias, Jorge and Cai, Guowei (2016) A survey on inspecting structures using robotic systems. International Journal of Advanced Robotic Systems, 13 (6). pp. 1729-8814. ISSN 1729-8814

Almadhoun, Randa, Taha, Tarek, Seneviratne, Lakmal and Zweiri, Yahya (2022) Multi-Robot Hybrid Coverage Path Planning for 3D Reconstruction of Large Structures. IEEE Access, 10. pp. 2037-2050. ISSN 2169-3536

Almadhoun, Randa, Taha, Tarek, Seneviratne, Lakmal and Zweiri, Yahya (2019) A survey on multi-robot coverage path planning for model reconstruction and mapping. SN Applied Sciences, 1 (8). ISSN 2523-3963

Altahhan, Abdulrahman, Burn, Kevin and Wermter, Stefan (2008) Visual robot homing using Sarsa(λ), whole image measure, and radial basis function. In: IEEE International Joint Conference on Neural Networks, 2008: IJCNN 2008; (IEEE World Congress on Computational Intelligence, Hong Kong, June 2008). Institute of Electrical and Electronics Engineers, pp. 3861-3868. ISBN 9781424418206

Anwar, Muhammad Naveed and Oakes, Michael (2011) Data mining of audiology patient records: factors influencing the choice of hearing aid type. In: DTMBIO '11: Proceedings of the ACM fifth international workshop on Data and text mining in biomedical informatics. Association for Computing Machinery, pp. 11-18. ISBN 9781450309608

Anwar, Muhammad Naveed, Oakes, Michael, Wermter, Stefan and Hinrich, Stefan (2010) Clustering audiology data. In: BeneLearn 2010: 19th annual machine learning conference of Belgium and the Netherlands, 27-28 May 2010, Leuven, Belgium.

Aylett, Ruth, Kappas, Arvid, Castellano, Ginevra, Bull, Susan, Barendregt, Wolmet, Paiva, Ana and Hall, Lynne (2015) I Know How That Feels - An Empathetic Robot Tutor. In: eChallenges e-2015, 25-26 Nov 2015, Vilnius, Lithuania.

Aylett, Ruth, Vannini, Natalie, Andre, Elisabeth, Paiva, Ana, Enz, Sibylle and Hall, Lynne (2009) But that was in another country: agents and intercultural empathy. In: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1. AAMAS '09 . International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, pp. 329-336. ISBN 978-0-9817381-6-1

B

Barakat, Basel and Huang, Qiang (2023) Enhancing Transfer Learning Reliability via Block-wise Fine-tuning. In: 22nd IEEE International Conference on Machine Learning and Applications, 15-17 December 2023, Florida, USA. (In Press)

Barakat, Basel and Huang, Qiang (2023) Improving Reliability of Fine-tuning with Block-wise Optimisation. In: 22nd International Conference on Machine Learning and Applications, 15-17 Dec 2023, Florida, USA. (In Press)

Beard, R and Smith, Peter (2013) Integrated electronic prescribing and robotic dispensing: a case study. SpringerPlus, 2 (295). pp. 1-7. ISSN 2193-1801

Bellotto, N, Burn, Kevin, Fletcher, E and Wermter, Stefan (2008) Appearance-based localization for mobile robots using digital zoom and visual compass. Robotics and Autonomous Systems, 56 (2). pp. 143-156. ISSN 0921-8890

Buchanan, Edgar, Alden, Kieran, Pomfret, A, Timmis, Jonathan and Tyrrell, Andy M. (2023) A study of error diversity in robotic swarms for task partitioning in foraging tasks. Frontiers in Robotics and AI, 9. ISSN 2296-9144

Buchanan, Edgar, Le Goff, Léni K., Hart, Emma, Eiben, Agoston E., De Carlo, Matteo, Li, Wei, Hale, Matthew F., Woolley, Robert, Timmis, Jonathan and Tyrrell, Andy M. (2020) Evolution of Diverse, Manufacturable Robot Body Plans. In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE. ISBN 9781728125473

C

Caldarini, Guendalina and Jaf, Sardar (2023) Recent Advances in Chatbot Algorithms, Techniques, and Technologies: DESIGNING CHATBOTS. In: Trends, Applications, and Challenges of Chatbot Technology. IGI Global, pp. 245-273. ISBN 9781668462348

Caldarini, Guendalina, Jaf, Sardar and McGarry, Kenneth (2022) A Literature Survey of Recent Advances in Chatbots. Information. ISSN 2078-2489

Cheng, Yongqiang, Ding, Xintao, Luo, Yonglong, Li, Qingde and Gope, Prosanta (2022) Consensus Adversarial Defense Method Based on Augmented Examples. Transactions on Industrial Informatics. pp. 984-994. ISSN 1941-0050

Clawson, Kathy, Delicato, Louise and Bowerman, Chris (2018) Human Centric Facial Expression Recognition. In: HCI '18: Proceedings of the 32nd International BCS Human Computer Interaction Conference 2018. Proceedings of the BCS Human Computer Interaction Conference (32). ACM, pp. 1-12.

Cosgrove, Jason, Novkovic, Mario, Pikor, Natalia, Zhou, Zhaokun, Onder, Lucas, Morbe, Urs, Cupovic, Jovana, Miller, Helen, Alden, Kieran, Thuery, Anne, O-Toole, Peter, Jarrett, Simon, Taylor, Emily, Venetz, Daniel, Heller, Manfred, Uguccioni, Mariagrazia, Legler, Daniel, Lacey, Charles, Coatesworth, Andrew, Polak, Wojciech, Cupedo, Tom, Manoury, Benedicte, Thelen, Marcus, Sten, Jen, Wolf, Marlene, Leake, Mark, Timmis, Jonathan, Ludewig, Berkhard and Coles, Mark (2020) B-cell Zone Reticular Cell Microenvironments Shape CXCL13 Gradient Formation. Nature Communications, 11. p. 3677. ISSN 2041-1723

D

Danso, Samuel O, Manu, Alexander, Fenty, Justin, Amanga-Etego, Seeba, Avan, Bilal Iqbal, Newton, Sam, Soremekun, Seyi and Kirkwood, Betty (2023) Population cause of death estimation using verbal autopsy methods in large-scale field trials of maternal and child health: lessons learned from a 20-year research collaboration in Central Ghana. Emerging themes in epidemiology, 20 (1). pp. 1-10. ISSN 1742-7622

Ding, Xintao, Luo, Yonglong, Jie, Biao, Li, Qingde and Cheng, Yongqiang (2024) Using outlier elimination to assess learning-based correspondence matching methods. Information Sciences, 659. ISSN 0020-0255

Dixon, Derek and Baglee, David (2023) Technology and the future of maintenance. In: International Congress and Workshop on Industrial AI and eMaintenance 2023. Lecture Notes in Mechanical Engineering . Springer, pp. 751-762. ISBN ISBN 978-3-031-39618-2

E

Eliot, N, Kendall, D, Brockway, M, Oman, P and Bouridane, A (2023) A novel potential field model for perimeter and agent density control in multiagent swarms. Expert Systems With Applications, 227. ISSN 0957-4174

F

Forrester, S, Siefert, K, Ashwin, H, Brown, N, Zelmar, A, James, S, Lagos, D, Timmis, Jonathan, Chatterjee, M, Mottram, JC, Croft, SL and Kaye, PM (2019) Tissue-specific transcriptomic changes associated with AmBisome® treatment of BALB/c mice with experimental visceral leishmaniasis version 1; peer review: 3 approved. Wellcome Open Research, 4 (198). ISSN 2398-502X

Freitas, Alex, McGarry, Kenneth and Correa, Elon (2007) Integrating Bayesian networks and Simpson's paradox in data mining. Causality and Probability in the Sciences. . College Publications, United Kingdom, University of Kent. ISBN 1-904987-35-4

G

Gajbhiye, Amit, Jaf, Sardar, Al-Moubayed, Noura and Bradley, Steven (2018) CAM: A Combined Attention Model for Natural Language Inference. In: Proceedings 2018 IEEE International Conference on Big Data. IEEE, Seattle, USA, pp. 1009-1019. ISBN 9781538650349

Gajbhiye, Amit, Jaf, Sardar, Al-Moubayed, Noura, McGough, Stephen and Bradley, Steven (2018) An Exploration of Dropout with RNNs for Natural Language Inference. In: Artificial Neural Networks and Machine Learning – ICANN 2018. Springer Lecture Notes in Computer Science, III (11141). Springer, pp. 156-167. ISBN 9783030014247

Garfield, Sheila, Elshaw, Mark and Wermter, Stefan (2001) Self-Organising Networks for Classification Learning from Normal and Aphasic Speech. In: 23rd Conference of the Cognitive Science Society, 1-4 Aug 2001, University of Edinburgh, Edinbugh, Scotland, UK.

Gaxiola, C, Rodríguez-Díaz, A, Jones, Susan, Castañón-Puga, M and Flores, Dora-Luz (2009) Fuzzy Personality Model Based on Transactional Analysis and Vsm for Socially Intelligent Agents and Robots. In: Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control. Studies in Computational Intelligence, 247 (Vol 25). Springer Berlin Heidelberg, pp. 227-241. ISBN 978-3-642-04514-1

H

Hale, Matthew F., Angus, Mike, Buchanan, Edgar, Li, Wei, Woolley, Robert, Le Goff, Léni K., De Carlo, Matteo, Timmis, Jonathan, Winfield, Alan F., Hart, Emma, Eiben, Agoston E. and Tyrrell, Andy M. (2021) Hardware Design for Autonomous Robot Evolution. In: IEEE Symposium Series on Computational Intelligence. IEEE. ISBN 9781728125473

Hall, Lynne (2017) Sex with Robots for Love Free Encounters. In: International Conference on Love and Sex with Robots LSR 2016: Love and Sex with Robots. Lecture notes in computer science (10237). Springer, pp. 128-136. ISBN 9783319577371

Hall, Lynne, Jones, Susan, Aylett, Ruth, Andre, Elisabeth, Paiva, Ana, Hofstede, Gert Jan, Kappas, Arvid, Nakano, Yukiko and Nishida, Toyoaki (2011) Fostering Empathic Behaviour in Children and Young People: Interaction with Intelligent Characters Embodying Culturally Specific Behaviour in Virtual World Simulations. In: 5th International Technology, Education and Development Conference (INTED 2011), 7 -9 Mar 2011, Valencia, Spain.

Hall, Lynne, Lutfi, Syaheerah, Nazir, Asad, Hodgson, John, Hall, Marc, Ritter, Christopher, Jones, Susan, Mascarenhas, Samuel, Cooper, Bridget, Paiva, Ana and Aylett, Ruth (2011) Games Based Learning for Exploring Cultural Conflict. In: AISB 2011 Symposium: AI & Games, 6-7 Apr 2011, York, UK. (Unpublished)

Hall, Lynne and Oram, Simon (2008) Fabricating fictions using social role. In: Animating expressive characters for social interaction. Advances in Consciousness Research (74). John Benjamins, pp. 21-36. ISBN 978 90 272 5210 4

Hall, Lynne, Paiva, Ana and Aylett, Ruth (2009) Evaluation approaches for intelligent computer assisted role play. In: 9th International Conference on Intelligent Virtual Agents; IVA '09, 14-16 Sep 2009, Amsterdam, The Netherlands.

Hall, Lynne, Tazzyman, Sarah, Hume, Colette, Endrass, Birgit, Lim, Mei-Yii, Hofstede, GertJan, Paiva, Ana, Andre, Elisabeth, Kappas, Arvid and Aylett, Ruth (2015) Learning to Overcome Cultural Conflict through Engaging with Intelligent Agents in Synthetic Cultures. International Journal of Artificial Intelligence and Education: Special Issue on Culturally-Aware Educational Technologies, 25 (2). pp. 291-317. ISSN 1560-4292

Hayes, Catherine (2021) A Pedagogical Paradigm Shift: Prospective Epistemologies of Extended Reality in Health Professions Education. In: Emerging Advancements for Virtual and Augmented Reality in Healthcare. IGI Global, USA. ISBN 9781799883715

Hennerley, James, Dickinson, Matthew and Jiang, Ming (2017) Augmented Reality Enhanced Human Robot Interaction for Social Robots as e-Learning Companions. In: HCI 2017 - Digital make-believe, 3 - 6 July 2017, University of Sunderland, St Peter’s campus, Sunderland, UK.

Heritage, John, McDonald, Sharon and McGarry, Kenneth (2017) Integrating association rules mined from health-care data with ontological information for automated knowledge generation. In: The 17th Annual UK Workshop on Computational Intelligence (UKCI-2017), 6-8 Sep 2017, Cardiff.

Huang, Chenxi, Lan, Yisha, Liu, Yuchen, Zhou, Wen, Pei, Hongbin, Yang, Longzhi, Cheng, Yongqiang, Hao, Yongtao and Peng, Yonghong (2018) A New Dynamic Path Planning Approach for Unmanned Aerial Vehicles. Complexity, 2018. pp. 1-17. ISSN 1076-2787

Huang, Chenxi, Shan, Xiaoying, Lan, Yisha, Liu, Lu, Cai, Haidong, Che, Wenliang, Hao, Yongtao, Cheng, Yongqiang and Peng, Yonghong (2018) A Hybrid Active Contour Segmentation Method for Myocardial D-SPECT Images. IEEE Access, 6. pp. 39334-39343. ISSN 2169-3536

Huang, Chenxi, Xie, Yuan, Lan, Yisha, Hao, Yongtao, Chen, Fei, Cheng, Yongqiang and Peng, Yonghong (2018) A New Framework for the Integrative Analytics of Intravascular Ultrasound and Optical Coherence Tomography Images. IEEE Access, 6. pp. 36408-36419. ISSN 2169-3536

Huang, Chenxi, Zhou, Wen, Lan, Yisha, Chen, Fei, Hao, Yongtao, Cheng, Yongqiang and Peng, Yonghong (2018) A Novel WebVR-Based Lightweight Framework for Virtual Visualization of Blood Vasculum. IEEE Access, 6. pp. 27726-27735. ISSN 2169-3536

Hudson, Thomas and Jaf, Sardar (2018) On the Development of Large Scale Corpus for Native Language Identification. In: Proceedings of the 17th International Workshop on Treebanks and Linguistic Theories (TLT 2018), December 2018, Oslo, Norway.

I

Irons, Alastair and Stephens, P (2011) Challenges in Teaching Live Forensics. In: he 5th International Conference on Cybercrime Forensics Education & Training, 1 - 2 Sep 2011, Canterbury Christ Church University, Canterbury, United Kingdom.

J

Jaf, Sardar, Alabbas, Maytham and Khudeyer, Raidah S. (2018) Combining Machine Learning Classifiers for the Task of Arabic Characters Recognition. In: International Journal of Asian Language Processing, 2017, Malaysia.

Jaf, Sardar and Calder, Calum (2019) Deep Learning for Natural Language Parsing. IEEE Access, 7 (1). pp. 131363-131373. ISSN 2169-3536

Jaf, Sardar and Ramsay, Allan (2015) The Application of Constraint Rules to Data-driven Parsing. In: the 2015 International Conference on Recent Advances in Natural Language Processing, Bulgaria.

Jaf, Sardar and Ramsay, Allan (2015) Deterministic Decisions in Non-deterministic Parsing. In: 12th International Workshop on Natural Language Processing and Cognitive Science, Poland.

Jaf, Sardar and Ramsay, Allan (2015) The Selection a Classifier for Data-driven Parsing. In: the 12th International Workshop on Natural Language Processing and Cognitive Science, Poland.

Jaf, Sardar and Ramsay, Allan (2013) Towards the Development of a Hybrid Parser for Natural Languages. In: Jones, Andrew V. and Ng, Nicholas eds, OpenAccess Series in Informatics (OASIcs) 35: 2013 Imperial College Computing Student Workshop, London.

Johnson, A.P., Halliday, D.M., Millard, A.G., Tyrrell, A.M., Timmis, Jonathan, Liu, J., Harkin, J., McDaid, L. and Karim, S. (2017) An FPGA-based hardware-efficient fault-tolerant astrocyte-neuron network. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). UNSPECIFIED. ISBN 9781509042401

K

Karim, S., Harkin, J., McDaid, L., Gardiner, B., Liu, J., Halliday, D.M., Tyrrell, A.M., Timmis, Jonathan, Millard, A. and Johnson, A. (2017) Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks. IEEE Computer Society Annual Symposium on VLSI, ISVLSI, 2017-J. pp. 421-426. ISSN 2159-3477

Kawi, Omar, Clawson, Kathy, Dunn, Paul, Knight, Daniel, Hodgson, Jonathan and Peng, Yonghong (2020) Medical Formulation Recognition (MFR) using Deep Feature Learning and One Class SVM. In: The International Joint Conference on Neural Networks (IJCNN), July 19-24, Glasgow, UK.

Knowles, Michael (2008) MIRA: a learning multimodal interactive robot agent. In: 8th International Conference on Hybrid Intelligent Systems; HIS 2008, 10-12 Sep 2008, Technical University of Catalonia, Barcelona, Spain.

Knowles, Michael, Baglee, David and Wermter, Stefan (2010) Reinforcement Learning for Scheduling of Maintenance. In: Thirtieth SGAI International Conference on Artificial Intelligence (AI-2010), 14-16 Dec 2010, Cambridge, England. (Unpublished)

Knowles, Michael, Wermter, Stefan, Pulvermuller, F, Gallise, V, Taylor, John G and Page, Martin (2009) Multimodal communication in animals, humans and robots: an introduction to perspectives in brain-inspired informatics. Neural Networks, 22 (2). pp. 111-115. ISSN 0893-6080

L

Le Goff, Léni K., Buchanan, Edgar, Hart, Emma, Eiben, Agoston E., Li, Wei, De Carlo, Matteo, Winfield, Alan F., Hale, Matthew F., Wooley, Robert, Angus, Mike, Timmis, Jonathan and Tyrrell, Andy M. (2022) Morpho-evolution with learning using a controller archive as an inheritance mechanism. IEEE Transactions on Cognitive and Developmental Systems. ISSN 2379-8939

Li, Wei, Buchanan, Edgar, Le Goff, Léni K., Hart, Emma, Hale, Matthew F., De Carlo, Matteo, Wooley, Robert, Winfield, Alan F., Timmis, Jonathan and Tyrrell, Andy M. (2023) Evaluation of frameworks that combine evolution and learning to design robots in complex morphological spaces. IEEE Transactions on Evolutionary Computation. ISSN 1089-778X (In Press)

Liu, Jindong, Erwin, Harry and Wermter, Stefan (2008) Mobile Robot Broadband Sound Localisation Using a Biologically Inspired Spiking Neural Network. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, 22-26 Sep 2008, Nice, France.

Liu, Jindong, Perez-Gonzalez, David, Rees, Adrian, Erwin, Harry and Wermter, Stefan (2009) A biomimetic spiking neural network of the auditory midbrain for mobile robot sound localisation in reverberant environments. In: 2009 International Joint Conference on Neural Networks: IJCNN 2009, 14-19 Jun 2009, Atlanta, Georgia, USA.

Liu, Junxiu, McDaid, Liam, Araque, Alfonso, Wade, John, Harkin, Jim, Karim, Shvan, Henshall, David C., Connolly, Niamh M. C., Johnson, Anju P., Tyrrell, Andy M., Timmis, Jonathan, Millard, Alan G., Hilder, James and Halliday, David M. (2019) GABA Regulation of Burst Firing in Hippocampal Astrocyte Neural Circuit: A Biophysical Model. Frontiers in Cellular Neuroscience, 13. p. 335. ISSN 1662-5102

Liu, Junxiu, McDaid, Liam, Harkin, Jim, Karim, Shvan, Johnson, Alan Gregoryand Hilder, Millard, Alan, Tyrrell, Andy and Timmis, Jonathan (2018) Exploring Self Repair in a Coupled Spiking Astrocyte Neural Network. IEEE Transactions on Neural Networks and Learning Systems.

M

MacFarlane, Kate (2016) An Intelligent Multi-Agent System Approach to Automating Safety Features for On-Line Real Time Communications: Agent Mediated Information Exchange. Doctoral thesis, University of Huddersfield.

MacFarlane, Kate and Holmes, Violeta (2009) Agent-Mediated Information Exchange Child Safety Online. Agent-Mediated Information Exchange: Child Safety Online.

MacFarlane, Kate and Holmes, Violeta (2017) Multi-agent System for Safeguarding Children Online. In: Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. Lecture Notes in Networks and Systems, 16 (16). Springer International Publishing AG, pp. 228-242. ISBN 978-3-319-56994-9

MacIntyre, John, Emmanouilidis, Christos, Adgar, Adam and McGarry, Kenneth (1999) The VISION project: a European collaboration on vibration analysis. In: 12th International Congress on Condition Monitoring and Engineering Management, 6-8 Jul 1999, University of Sunderland.

Malone, James, McGarry, Kenneth and Bowerman, Chris (2004) Performing trend analysis on spatio-temporal proteomics data using differential ratio data mining. In: Proceedings of the 6th EPSRC Conference on Postgraduate Research in Electronics, Photonics, Communications and Software (PREP 2004), 5-7 Apr 2004.

McGarry, Kenneth (2023) Analyzing Social Media Data using Sentiment Mining and Bi-gram Analysis for the Recommendation of YouTube Videos. Information, 14 (7). ISSN E2078-2489

McGarry, Kenneth (2022) Graph theoretic and stochastic block models integrated with matrix factorization for community detection. In: The 21st UK Workshop on Computational Intelligence, 7 - 9 September 2022, University of Sheffield.. (In Press)

McGarry, Kenneth (2022) Hidden Markov Models for Surprising Pattern Detection in Discrete Symbol Sequence Data. In: AI-2022 Forty-second SGAI International Conference on Artificial Intelligence, 13th-15th DECEMBER 2022, Cambridge. (In Press)

McGarry, Kenneth, Ashton, Mark, Gong, Yu and Hosny, Amer (2020) The development of a predictive model to identify potential HIV-1 attachment inhibitors. Computers in Biology and Medicine. ISSN 0010-4825

McGarry, Kenneth and Assamoha, Ennock (2017) Data integration with self-organising neural network reveals chemical structure and therapeutic effects of drug ATC codes. In: The 17th Annual UK Workshop on Computational Intelligence (UKCI-2017), 6-8 Sep 2017, Cardiff.

McGarry, Kenneth, Emery, Kirsty, Varnakulasingam, Vithusa, McDonald, Sharon and Ashton, Mark (2016) Complex network based computational techniques for edgetic modelling of mutations implicated with human diseases. In: 16th UK Workshop on Computational Intelligence, UKCI-2016, 7-9 Sep 2016, Lancaster University.

McGarry, Kenneth, Garfield, Sheila, Morris, Nick and Wermter, Stefan (2007) Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery. In: Third International Workshop on Neural-Symbolic Learning and Reasoning, 6-12 January 2007, Hyderabad, India.

McGarry, Kenneth, Garfield, Sheila and Wermter, Stefan (2007) Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks. In: Twentieth IEEE International Symposium on Computer-Based Medical Systems, 20-22 June 2007, Maribor, Slovenia.

McGarry, Kenneth, Graham, Yitka, McDonald, Sharon and Rashid, Anuam (2018) RESKO: Repositioning drugs by using side effects and knowledge from ontologies. Knowledge-Based Systems, 160. pp. 34-48. ISSN 0950-7051

McGarry, Kenneth and MacIntyre, John (1999) The fusion of neuro-symbolic knowledge within an adaptive hybrid system. In: International Conference on Data Fusion, 5-7 Oct 1999, Stratford-upon-Avon.

McGarry, Kenneth and McDonald, Sharon (2017) Computational methods for text mining user posts on a popular gaming forum for identifying user experience issues. In: British HCI 2017 Conference Digital Make Believe, 3-6 Jul 2017, Sunderland, UK.

McGarry, Kenneth, Nelson, David and Ashton, Mark (2020) A method to explore the connectivity patterns of proteins and drugs for identifying disease communities. SN Computer Science, 137. ISSN 2661-8907

McGarry, Kenneth, Slater, Nicole and Ammaning, Angela (2015) Identifying candidate drugs for repositioning by graph based modeling techniques based on drug side-effects. In: 15th UK Workshop on Computational Intelligence (UKCI 2015), 7 - 9 Sep 2015, University of Exeter.

McGarry, Kenneth, Wermter, Stefan and MacIntyre, John (1999) Hybrid neural systems: from simple coupling to fully integrated neural networks. Neural Computing Surveys, 2 (1). pp. 62-93. ISSN 1093-7609

Medhat, Fady, Mohammadi, Mahnaz, Jaf, Sardar, Willcocks, G. Chris, Breckon, Toby, McGough, Stephen, Theodoropoulos, Georgios and Obara, Boguslaw (2018) TMIXT: A process flow for Transcribing MIXed Handwritten and Machine-printed Text. In: IEEE International Conference on Big Data, US.

Mo, Ronald (2017) The Effects of Audio Processing on the Perceived Emotional Characteristics of Musical Instrument Sounds. Doctoral thesis, Hong Kong University of Science and Technology.

Mo, Ronald K. (2023) Electric Guitar Sound Restoration with Diffusion Models. In: DMRN+18: Digital Music Research Network One-day Workshop 2023, 19 Dec 2023, Queen Mary University of London, London, UK. (Unpublished)

Mo, Ronald K. (2023) Emotion-driven Motivic Development using Diffusion Models. In: CHIME Annual One-day Music and HCI Workshop, 04 Dec 2023, The Open University, Milton Keynes, UK.

Mo, Ronald K. and Lam, Albert Y.S. (2020) Augmenting Telephony Audio Data using Robust Principal Component Analysis. In: IEEE Symposium Series on Computational Intelligence, Dec 1, 2020 - Dec 4, 2020, Canberra, ACT, Australia.

Mohammadi, Mahnaz, Jaf, Sardar, McGough, Andrew Stephen, Breckon, Toby P., Matthews, Peter, Theodoropoulos, Georgios and Obara, Boguslaw (2019) On the Use of Neural Text Generation for the Task of Optical Character Recognition. In: 16th ACS/IEEE International Conference on Computer Systems and Applications AICCSA 2019, 3-7 Nov. 2019, Abu Dhabi - UAE.

Mohiuddin, Abdullah, Zweiri, Yahya, Almadhoun, Randa, Taha, Tarek and Gan, Dongming (2020) Energy distribution in Dual-UAV collaborative transportation through load sharing. Journal of Mechanisms and Robotics. pp. 1-14. ISSN 1942-4302

Murray, John and Erwin, Harry (2011) A Neural Network Classifier for Notch Filter Classification of Sound-Source Elevation in a Mobile Robot. In: International Joint Conference on Neural Networks 2011 (IJCNN 2011), 31 Jul - 5 Aug 2011, San Jose, California.

Murray, John, Erwin, Harry and Wermter, Stefan (2009) Robotic sound source localisation architecture using cross-correlation and recurrent neural networks. Neural Networks, 22 (2). pp. 173-189. ISSN 0893-6080

O

O'Keeffe, James, Tarapore, Danesh, Millard, Alan G. and Timmis, Jonathan (2018) Adaptive Online Fault Diagnosis in Autonomous Robot Swarms. Frontiers in Robotics and AI, 5. p. 131.

P

Panchev, Christo, Anwar, M N and Oakes, Michael (2013) Hearing Aid Classification Based on Audiology Data. In: International Conference on Artificial Neural Networks (ICANN),, 10 – 13 Sep 2013, Sofia, Bulgaria..

Potts, Danielle, MacFarlane, Kate and Hall, Lynne (2021) Support Rather Than Assault – Cooperative Agents in Minecraft. In: 33rd British Computer Society Human Computer Interaction conference, 19-21 July 2021, Online.

Prusakiewicz, Chris and McGarry, Kenneth (2023) Quantitative Approach of Geospatial Sentiment Analysis to Reveal Opinions on the War in Ukraine. In: AI-2023 Forty-third SGAI International Conference on Artificial Intelligence, 12-14 Dec 2023, Cambridge UK. (In Press)

Q

Quintero, Paulo, Benoit, David, Yongqiang, Cheng, Moore, Craig and Beavis, Andrew (2023) Evaluation of the dataset quality in gamma passing rate predictions using machine learning methods. British Journal of Radiology, 96 (1147). ISSN 0007-1285

R

Read, Mark, Alden, Kieran, Andrews, Paul and Timmis, Jonathan (2020) Strategies for calibrating models of biology. Briefings in Bioinformatics, 21 (1). pp. 24-35. ISSN 1467-5463

Robson, Adam, Mistry, Kamlesh and Woo, Wai Lok (2023) A Novel Group-Based Firefly Algorithm with Adaptive Intensity Behaviour. Proceedings of the 15th International Conference on Agents and Artificial Intelligence (ICAART 2023), 1. pp. 233-239. ISSN 9789897586231

Robson, Adam and Zhang, Li (2018) Intelligent Facial Expression Recognition Using Particle Swarm Optimization Based Feature Selection. 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Rujirapapipat, Suthinan, McGarry, Kenneth and Nelson, David (2016) Bioinformatic analysis using complex networks and clustering proteins involved with Alzheimer's disease. In: 16th UK Workshop on Computational Intelligence, UKCI-2016, 7-9 Sep 2016, Lancaster University.

Rusyaidi, Muhammad, Jaf, Sardar and Ibrahim, Zunaidi (2022) Detecting Distributed Denial of Service in Network Traffic with Deep Learning. International Journal of Advanced Computer Science and Applications, 13 (1). pp. 34-41. ISSN 2156-5570

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This list was generated on Sun Mar 3 06:26:13 2024 GMT.