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Van Belle, V and Lisboa, P (2013) White box radial basis function classifiers with component selection for clinical prediction models. Artificial Intelligence in Medicine, 60 (1). pp. 53-64. ISSN 0933-3657

Van Belle, V, Van Calster, B, Van Huffel, S, Suykens, JAK and Lisboa, P (2016) Explaining Support Vector Machines: A Color Based Nomogram. PLoS One, 11 (10). ISSN 1932-6203

Voje, KL, Saulsbury, JG, Starrfelt, J, Latorre, DV, Rojas, A, Kinneberg, VB, Liow, LH, Wilson, CJ, Saupe, EE and Grabowski, M (2023) Measurement theory and paleobiology. Trends in Ecology & Evolution, 38 (12). pp. 1165-1176. ISSN 0169-5347

Vu, VT, Bui, TL and Nguyen, TT (2020) A competitive co-evolutionary approach for the multi-objective evolutionary algorithms. IEEE Access. ISSN 2169-3536

Wan, C, Yan, X, Zhang, D, Qu, Z and Yang, Z (2019) An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks. Transportation Research Part E: Logistics and Transportation Review, 125. pp. 222-240. ISSN 1366-5545

Wang, Y, Wang, K, Wang, T, Li, XY, Khan, F, Yang, Z and Wang, J (2021) Reliabilities analysis of evacuation on offshore platforms: A dynamic Bayesian Network model. Process Safety and Environmental Protection, 150. pp. 179-193. ISSN 0957-5820

Warrier, U, Shankar, A and Belal, HM (2021) Examining the Role of Emotional Intelligence as a moderator for Virtual Communication and Decision Making Effectiveness during the COVID-19 Crisis: Revisiting Task Technology Fit Theory. Annals of Operations Research. ISSN 0254-5330

Webb, SD, Reddyhoff, D, Ward, J, Williams, D and Regan, S (2015) Timescale analysis of a mathematical model of acetaminophen metabolism andtoxicity. Journal of Theoretical Biology, 386. pp. 132-146. ISSN 1095-8541

Wilkinson, RR, Ball, FG and Sharkey, KJ (2016) The deterministic Kermack‒McKendrick model bounds the general stochastic epidemic. Journal of Applied Probability, 53 (4). pp. 1031-1040. ISSN 0021-9002

Wilkinson, RR, Ball, FG and Sharkey, KJ (2017) The relationships between message passing, pairwise, Kermack–McKendrick and stochastic SIR epidemic models. Journal of Mathematical Biology, 75 (6-7). pp. 1563-1590. ISSN 0303-6812

Wilkinson, RR and Sharkey, KJ (2013) An Exact Relationship Between Invasion Probability and Endemic Prevalence for Markovian SIS Dynamics on Networks. PLoS One, 8 (7). ISSN 1932-6203

Wilkinson, RR and Sharkey, KJ (2014) Message passing and moment closure for susceptible-infected-recovered epidemics on finite networks. Physical Review E, 89 (2). ISSN 1539-3755

Yan, XP, Wan, CP, Zhang, D and Yang, ZL (2017) Safety management of waterway congestions under dynamic risk conditions—A case study of the Yangtze River. Applied Soft Computing Journal, 59. pp. 115-128. ISSN 1568-4946

Yang, P (2012) Efficient particle filter algorithm for ultrasonic sensor-based 2D range-only simultaneous localisation and mapping application. IET Wireless Sensor Systems, 2 (4). pp. 394-401. ISSN 2043-6386

Yang, Z, Guo, L and Yang, Z (2017) Emergency logistics for wildfire suppression based on forecasted disaster evolution. Annals of Operations Research. ISSN 0254-5330

Yang, ZL and Qu, Z (2016) Quantitative maritime security assessment: a 2020 vision. IMA Journal of Management Mathematics, 27 (4). pp. 453-470. ISSN 1471-678X

Zhang, D, Cai, S, Ye, F, Si, YW and Nguyen, TT (2017) A hybrid algorithm for a vehicle routing problem with realistic constraints. Information Sciences, 394-95. pp. 167-182. ISSN 0020-0255

Zhang, D, Qu, Z, Wang, W, Yu, J and Yang, Z (2020) New uncertainty modelling for cargo stowage plans of general cargo ships. Transportation Research Part E: Logistics and Transportation Review, 144. ISSN 1366-5545

Zhu, Q, Yu, DL and Zhao, D (2017) An enhanced linear Kalman filter (EnLKF) algorithm for parameter estimation of nonlinear rational models. International Journal of Systems Science, 48 (3). pp. 451-461. ISSN 0020-7721

Zubaidi, S, Al-Bugharbee, H, Ortega Martorell, S, Gharghan, SK, Olier, I, Hashim, KS, Al-Bdairi, NSS and Kot, P (2020) A Novel Methodology for Prediction Urban Water Demand by Wavelet Denoising and Adaptive Neuro-Fuzzy Inference System Approach. Water, 12 (6). ISSN 2073-4441

leedale, J, Sharkey, K, Colley, H, Norton, A, Peeney, D, Mason, C, Sathish, J, Murdoch, C, Sharma, P and Webb, SD (2018) A combined in vitro/in silico approach to identifying off-target receptor toxicity. iScience, 4. pp. 84-96. ISSN 2589-0042

Book Section

Ortega-Martorell, S, Julià-Sapé, M, Lisboa, P and Arús, C (2016) Pattern Recognition Analysis of MR Spectra. In: Griffiths, J and Bottomley, P, (eds.) Handbook of in vivo Magnetic Resonance Spectroscopy. John Wiley & Sons. ISBN 978-1-118-99766-6

Siekmann, I, Cao, P, Sneyd, J and Crampin, EJ (2019) Data-Driven Modelling of the Inositol Trisphosphate Receptor (IPR) and its Role in Calcium-Induced Calcium Release (CICR). In: de Pitta, M and Berry, H, (eds.) Computational Glioscience. Springer Series in Computational Neuroscience . Springer. ISBN 3030008177

Monograph

Moreno, O, González, JL, Pérez-Romero, J, Sallent, O, Raschella, A, Umbert, A, Gebert, J, Fuchs, R, Demestichas, P, Georgakopoulos, A, Stavroulaki, V, Tsagkaris, K, Kritikou, Y, Tzifa, L, Koutsouris, N, Karvounas, D, Logothetis, M, Sarli, A, Bantouna, A, Papadopoulou, L-M et al, Galani, A, Vlacheas, P, Morakos, P, Antzoulatos, A, Mueck, M, Drewes, C, Nehring, F, Moser, G, Tosic, M, Boskovic, D, Ikovic, O, Cirilovic, M, Vahid, S, Ghoraishi, M, Pega, S, Bourdellès, M, Bagayoko, A and Mouton, C (2012) Results analysis and validation - D5.3. Project Report. European Commissioner.

Tosic, M, Ikovic, O, Boskovic, D, Cirilovic, M, Gebert, J, Fuchs, R, Wich, A, Pérez-Romero, J, Sallent, O, Ferrús, R, Raschella, A, Karvounas, D, Georgakopoulos, A, Stavroulaki, V, Koutsouris, N, Tsagkaris, K, Demestichas, P, Mueck, M, Drewes, C, Nehring, F et al, G, Moser, O, Moreno, JL, González, T, Delsol, C, Mouton and S, Vahid (2012) Validation platform implementation description - D5.2. Project Report. European Commission, https://cordis.europa.eu/about.

Conference or Workshop Item

Abdulaimma, B, Hussain, A, Fergus, P, Al-Jumeily, D, Lisboa, P, Huang, D-S and Radi, N (2018) Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors. In: 2018 IEEE Congress on Evolutionary Computation (CEC) . (2018 IEEE Congress on Evolutionary Computation (IEEE CEC 2018), 08 July 2018 - 13 April 2018, Brazil).

Alshabandar, R, Hussain, A, Keight, R, Laws, A and Baker, T (2018) The Application of Gaussian Mixture Models for the Identification of At-Risk Learners in Massive Open Online Courses. In: 2018 IEEE Congress on Evolutionary Computation (CEC) . (IEEE Congress on Evolutionary Computation, 08 July 2018 - 13 July 2018, Brazil).

Bell, PC, Niskanen, R, Potapov, I and Semukhin, P (2023) On the Identity and Group Problems for Complex Heisenberg Matrices. In: Reachability Problems - 17th International Conference, RP 2023, Nice, France, October 11-13, 2023, Proceedings , 14235. pp. 42-45. (Reachability Problems: 17th International Conference, RP 2023, 11th October - 13th October 2023, Nice, France).

Chambers, SJ, Jarman, I and Lisboa, P (2015) A framework for initialising a dynamic clustering algorithm: ART2-A. In: Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on . pp. 273-280. (Computational Intelligence and Data Mining (CIDM), 9th-12th December 2014, Orlando, Florida).

Dean, E, Taylor, MJ, Francis, H and Clark, A (2016) An exploration of community and culture related fire injury risks. In: UKAIS, 12 April 2016 - 13 April 2016, Oxford University, Oxford, UK.

Dobbins, CM, Fairclough, SH, Lisboa, PJG and Navarro, FFG (2018) A Lifelogging Platform Towards Detecting Negative Emotions in Everyday Life using Wearable Devices. In: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) . (2018 IEEE International Conference on Pervasive Computing and Communications (PerCom’18), 19 March 2018 - 23 March 2018, Athens, Greece).

Lisboa, PJG, Saralajew, S, Vellido, A and Villmann, T (2021) The Coming of Age of Interpretable and Explainable Machine Learning Models. In: ESANN 2021 proceedings European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning . (ESANN 2021 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 06 October 2021 - 08 October 2021, Online).

Marnerides, A, Bhandari, A, Murthy, H and Mauthe, A (2015) A multi-level resilience framework for unified networked environments. In: Integrated Network Management (IM), 2015 IFIP/IEEE International Symposium on . pp. 1369-1372. (IEEE/IFIP International Symposium on Integrated Network Management (IM), 11th - 15th May 2015, Ottawa, Canada).

Mocioiu, V, De Barros, NMP, Ortega-Martorell, S, Slotboom, J, Knecht, U, Arús, C, Vellido, A and Julià-Sapé, M (2016) A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases. In: ESANN 2016 - 24th European Symposium on Artificial Neural Networks , ES2016 (82). (ESANN 2016 - 24th European Symposium on Artificial Neural Networks, 27th - 29th April 2016, Bruges, Belgium).

Nguyen, VQ, Ngo, TL, Nguyen, LM, Nguyen, VH and Shone, N (2024) Deep Nested Clustering Auto-Encoder for Anomaly-Based Network Intrusion Detection. In: 2023 RIVF International Conference on Computing and Communication Technologies (RIVF) . pp. 289-294. (2023 RIVF IEEE International Conference on Computing and Communication Technologies, 23-25th December 2023, Hanoi, Vietnam).

Tureen, Tahmeed and Olthof, SBH (2022) “Estimated Player Impact” (EPI): Quantifying the effects of individual players on football (soccer) actions using hierarchical statistical models. In: StatsBomb Conference Proceedings . (StatsBomb Conference 2022, Wembley, London).

Tynan, R (0204) Statistical analysis in advanced special and advanced level Biology in England. In: EDULEARN24 Conference Proceedings . (Edulearn24, 16th annual International Conference on Education and New Learning Technologies, 1st Jul -3 Jul 2024, Palma, Majorca, Spain).

Vu, VT, Bui, TL and Nguyen, TT (2017) A modified dual-population approach for solving multi-objective problems. In: 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2017) . (21st Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES), 15th - 17th November 2017, Hanoi, Vietnam).

Walters, B, Ortega-Martorell, S, Olier, I and Lisboa, PJG (2021) The partial response SVM. In: ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning . (ESANN 2021 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 06 October 2021 - 08 October 2021, Online).

Ward, R, Rahman, S, Wuerger, S and Marshall, A (2021) Predicting the colour associated with odours using an electronic nose. In: Proceedings of the 1st Workshop on Multisensory Experiences - SensoryX'21 . (ACM International Conference on Interactive Media Experience, June 21-23, 2021, NY, USA).

Book

Reilly, D (2022) Contemporary Issues in Information Systems A Global Perspective. IntechOpen. ISBN 9781839694639

Thesis

Adewuyi, A (2022) Trust Modelling and Management for Collaborative and Composite Applications in the Internet of Things. Doctoral thesis, Liverpool John Moores University.

Badshah, S (2007) Exploratory analysis of low birthweight data from a survey of births delivered during 2003 at four main public-hospitals in Peshawar. Doctoral thesis, Liverpool John Moores University.

Chambers, SJ (2015) A framework approach to initialisation dependent clustering methodologies. Doctoral thesis, Liverpool John Moores University.

Conway, D (2019) Integrating In-Silico Models with In-Vitro Data to Generate Novel Insights into Biological Systems. Doctoral thesis, Liverpool John Moores University.

Farran, T (2008) The evaluation of an intelligent learning system as a learning tool for the solution of numerical problems. Doctoral thesis, Liverpool John Moores University.

Kelly, RA (2018) Biochemical Thermodynamic Modelling of Cellular Bioenergetics: A Quantitative Systems Pharmacology Approach. Doctoral thesis, Liverpool John Moores University.

Kinloch, P A (2008) Developing a methodological generic framework through introducing autonomy and self-adaptation to information systems thinking. Doctoral thesis, Liverpool John Moores University.

Li, F (1996) Optimal economic operation of electric power systems using genetic based algorithms. Doctoral thesis, Liverpool John Moores University.

Madamedon, S (2024) A Total Opportunity Cost Matrix Tiebreaker Vogel’s Approximation Method for Transportation Problems. Doctoral thesis, Liverpool John Moores University.

Malabar, I (2003) The use of computertechnology and constructivism to enhance visualisation skills in mathematics education. Doctoral thesis, Liverpool John Moores University.

Mason, C (2019) A systems toxicology framework for improving the identification of paracetamol overdose. Doctoral thesis, Liverpool John Moores University.

Mohi-Ud-din, G (2020) Deep Learning based Approaches for Cost Effective Short-term Energy Load Forecasting And Consumer Behaviour Modelling in Households. Doctoral thesis, Liverpool John Moores University.

Riley, P (2022) Explainable machine learning models to assist with cancer diagnosis. Doctoral thesis, Liverpool John Moores University.

Rooney, J J (1974) A Unified theory for the analysis of spatial mechanisms based on spherical Ingonometry. Doctoral thesis, Liverpool John Moores University.

Ruiz, H (2013) Fisher networks: A principled approach to retrieval-based classification. Doctoral thesis, Liverpool John Moores University.

Sneddon, A (2021) Multiscale Modelling of Xenobiotic Transport Through Biotissues. Doctoral thesis, Liverpool John Moores University.

Other

Phillips, C, Brown, J, Alaoui Mhamdi, A and Wall, T (2022) Unleash your inner geek: using maths to prepare graduates for a data driven future. Chartered Association of Business Schools.