All Stories

  1. Development of a Machine Learning Model for Predicting Treatment-Related Amenorrhea in Young Women with Breast Cancer

    Article • Bioengineering, October 2025, MDPI AG

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  2. Development of a Machine Learning Model for Predicting Treatment-Related Amenorrhea in Young Women with Breast Cancer

    Article • October 2025, MDPI AG

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  3. Single-objective robust optimisation in bioprocessing with conformalised quantile regression as interval-based surrogate models

    Article • Optimization Letters, September 2025, Springer Science + Business Media

    Prof Uwe Aickelin

  4. Capturing uncertainty in black-box chromatography modelling using conformal prediction and Gaussian processes

    Article • Computers & Chemical Engineering, August 2025, Elsevier

    Prof Uwe Aickelin

  5. Fast Rate Information-Theoretic Bounds on Generalization Errors

    Article • IEEE Transactions on Information Theory, August 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  6. Einstein: a fast online segmentation (pseudo-period extraction) algorithm for complex pseudo-periodic data streams

    Article • International Journal of Data Science and Analytics, June 2025, Springer Science + Business Media

    Prof Uwe Aickelin

  7. Developing interpretable machine learning models to predict length of stay and disposition decision for adult patients in emergency departments

    Article • BMJ Health & Care Informatics, June 2025, BMJ

    Prof Uwe Aickelin

  8. A synthetic over-sampling method with minority and majority classes for imbalance problems

    Article • Knowledge and Information Systems, April 2025, Springer Science + Business Media

    Prof Uwe Aickelin

  9. Teaching AI to Know When It’s Unsure: A Guide to Safer and More Reliable Predictions.

    Article • ACM Computing Surveys, April 2025, ACM (Association for Computing Machinery)

    Prof Uwe Aickelin, Md Mehedi Hasan

  10. The Effect of Freezing and Thawing on Mozzarella Cheese: Insights from Industrial-Scale Experiments and Mathematical and Digital Analysis

    Article • Food and Bioprocess Technology, March 2025, Springer Science + Business Media

    Prof Uwe Aickelin

  11. Time Series Classification with Elasticity Using Augmented Path Signatures

    Article • ACM Transactions on Knowledge Discovery from Data, January 2025, ACM (Association for Computing Machinery)

    Prof Uwe Aickelin

  12. Polysomnographic titration of non-invasive ventilation in motor neurone disease (3TLA): study protocol for a randomised controlled trial

    Article • Trials, January 2025, Springer Science + Business Media

    Prof Uwe Aickelin

  13. Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records

    Article • January 2025, Springer Science + Business Media

    Prof Uwe Aickelin

  14. SHIP: A Shapelet-Based Approach for Interpretable Patient-Ventilator Asynchrony Detection

    Article • January 2025, Springer Science + Business Media

    Prof Uwe Aickelin

  15. Turning Uncertainty to Information by Intervals in Ensemble Classifiers

    Article • January 2025, Springer Science + Business Media

    Prof Uwe Aickelin

  16. VDASI: VAE-Enhanced Degradation-Aware System Identification Using Constrained Latent Spaces

    Article • January 2025, Springer Science + Business Media

    Prof Uwe Aickelin

  17. On the Generalization for Transfer Learning: An Information-Theoretic Analysis

    Article • IEEE Transactions on Information Theory, October 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  18. ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification

    Article • August 2024, ACM (Association for Computing Machinery)

    Prof Uwe Aickelin

  19. A review on over-sampling techniques in classification of multi-class imbalanced datasets: insights for medical problems

    Article • Frontiers in Digital Health, July 2024, Frontiers

    Prof Uwe Aickelin

  20. Enhancing constraint programming via supervised learning for job shop scheduling

    Article • Knowledge-Based Systems, June 2024, Elsevier

    Prof Uwe Aickelin

  21. Probabilistic hesitant fuzzy multiple criteria decision-making with triangular norm based similarity and entropy measures

    Article • Decision Analytics Journal, June 2024, Elsevier

    Prof Uwe Aickelin

  22. Uncertainty-aware non-invasive patient–ventilator asynchrony detection using latent Gaussian mixture generative classifier with noisy label correction

    Article • International Journal of Data Science and Analytics, May 2024, Springer Science + Business Media

    Prof Uwe Aickelin

  23. Editorial: Special issue on operations research and machine learning

    Article • INFOR Information Systems and Operational Research, March 2024, Taylor & Francis

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  24. Optimised deep k-nearest neighbour’s based diabetic retinopathy diagnosis(ODeep-NN) using retinal images

    Article • Health Information Science and Systems, March 2024, Springer Science + Business Media

    Prof Uwe Aickelin

  25. A Lightweight-Window-Portion-Based Multiple Imputation for Extreme Missing Gaps in IoT Systems

    Article • IEEE Internet of Things Journal, February 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  26. Diagnostic clinical decision support based on deep learning and knowledge-based systems for psoriasis: From diagnosis to treatment options

    Article • Computers & Industrial Engineering, January 2024, Elsevier

    Prof Uwe Aickelin

  27. Enhancing Predictive Modeling in Emergency Departments

    Article • January 2024, Scitepress

    Prof Uwe Aickelin

  28. Identification of Patient Ventilator Asynchrony in Physiological Data Through Integrating Machine-Learning

    Article • January 2024, Scitepress

    Prof Uwe Aickelin

  29. An operational planning for emergency medical services considering the application of IoT

    Article • Operations Management Research, November 2023, Springer Science + Business Media

    Prof Uwe Aickelin

  30. A Diversity-Based Synthetic Oversampling Using Clustering for Handling Extreme Imbalance

    Article • SN Computer Science, November 2023, Springer Science + Business Media

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  31. A Bayesian approach to (online) transfer learning: Theory and algorithms

    Article • Artificial Intelligence, November 2023, Elsevier

    Prof Uwe Aickelin

  32. A deep reinforcement learning hyper-heuristic with feature fusion for online packing problems

    Article • Expert Systems with Applications, November 2023, Elsevier

    Prof Uwe Aickelin

  33. Cloud model-based best-worst method for group decision making under uncertainty

    Article • INFOR Information Systems and Operational Research, October 2023, Taylor & Francis

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  34. Time-sensitive cancellation refund in advance booking: Effect of online-to-offline marketing policy

    Article • Computers & Industrial Engineering, September 2023, Elsevier

    Prof Uwe Aickelin

  35. An Uncertainty-Accuracy-Based Score Function for Wrapper Methods in Feature Selection

    Article • August 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  36. Evaluation of the Early Intervention Physiotherapist Framework for Injured Workers in Victoria, Australia: Data Analysis Follow-Up

    Article • Healthcare, August 2023, MDPI AG

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  37. Guest Editorial Special Issue on Multiobjective Evolutionary Optimization in Machine Learning

    Article • IEEE Transactions on Evolutionary Computation, August 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  38. A decision modeling approach for smart e-tourism data management applications based on spherical fuzzy rough environment

    Article • Applied Soft Computing, August 2023, Elsevier

    Prof Uwe Aickelin

  39. Evaluation of the Early Intervention Physiotherapist Framework for Injured Workers in Victoria, Australia: Data Analysis Follow-up

    Article • July 2023, MDPI AG

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  40. A scoping review of supervised learning modelling and data-driven optimisation in monoclonal antibody process development

    Article • Digital Chemical Engineering, June 2023, Elsevier

    Prof Uwe Aickelin

  41. Pharmaceutical process optimisation: Decision support under high uncertainty

    Article • Computers & Chemical Engineering, February 2023, Elsevier

    Prof Uwe Aickelin

  42. Energy valley optimizer: a novel metaheuristic algorithm for global and engineering optimization

    Article • Scientific Reports, January 2023, Springer Science + Business Media

    Prof Uwe Aickelin

  43. Uncertainty in Selective Bagging: A Dynamic Bi-objective Optimization Model

    Article • January 2023, Society for Industrial & Applied Mathematics (SIAM)

    Prof Uwe Aickelin

  44. Quasi-Periodicity Detection via Repetition Invariance of Path Signatures

    Article • January 2023, Springer Science + Business Media

    Prof Uwe Aickelin

  45. A Comprehensive Survey on Imputation of Missing Data in Internet of Things

    Article • ACM Computing Surveys, December 2022, ACM (Association for Computing Machinery)

    Prof Uwe Aickelin, Dr Hadi Akbarzadeh Khorshidi

  46. Engineering Blockchain-based Software Systems: Foundations, Survey, and Future Directions

    Article • ACM Computing Surveys, December 2022, ACM (Association for Computing Machinery)

    Prof Uwe Aickelin, Prof Jun Shen

  47. Fast Rate Generalization Error Bounds: Variations on a Theme

    Article • November 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  48. Shape and size optimization of truss structures by Chaos game optimization considering frequency constraints

    Article • Journal of Advanced Research, November 2022, Elsevier

    Prof Uwe Aickelin

  49. Expert–Machine Collaborative Decision Making: We Need Healthy Competition

    Article • IEEE Intelligent Systems, September 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  50. A cooperative robust human resource allocation problem for healthcare systems for disaster management

    Article • Computers & Industrial Engineering, August 2022, Elsevier

    Prof Uwe Aickelin

  51. Multi-objective Semi-supervised clustering for finding predictive clusters

    Article • Expert Systems with Applications, June 2022, Elsevier

    Prof Uwe Aickelin

  52. A hybrid projection method for resource-constrained project scheduling problem under uncertainty

    Article • Neural Computing and Applications, May 2022, Springer Science + Business Media

    Prof Uwe Aickelin

  53. Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: A distribution case study of COVID-19 vaccine doses

    Article • Computer Standards & Interfaces, March 2022, Elsevier

    Alhamzah Alnoor, Prof Uwe Aickelin

  54. Novel dynamic fuzzy Decision-Making framework for COVID-19 vaccine dose recipients

    Article • Journal of Advanced Research, March 2022, Elsevier

    Alhamzah Alnoor, Prof Uwe Aickelin

  55. Based on neutrosophic fuzzy environment: a new development of FWZIC and FDOSM for benchmarking smart e-tourism applications

    Article • Complex & Intelligent Systems, February 2022, Springer Science + Business Media

    Prof Uwe Aickelin

  56. AI Based Cancer Detection Models Using Primary Care Datasets

    Article • Journal of Advances in Information Technology, January 2022, Engineering and Technology Publishing

    Prof Uwe Aickelin

  57. Cluster-based Diversity Over-sampling: A Density and Diversity Oriented Synthetic Over-sampling for Imbalanced Data

    Article • January 2022, Scitepress

    Prof Uwe Aickelin

  58. Early Detection and Classification of Patient-Ventilator Asynchrony Using Machine Learning

    Article • January 2022, Springer Science + Business Media

    Prof Uwe Aickelin

  59. Limitations

    Article • January 2022, Springer Science + Business Media

    Prof Uwe Aickelin

  60. Patient-Ventilator Asynchrony Detection via Similarity Search Methods

    Article • Journal of Advances in Information Technology, January 2022, Engineering and Technology Publishing

    Prof Uwe Aickelin

  61. Untangling the Concept of Artificial Intelligence, Machine Learning, and Deep Learning

    Article • January 2022, Springer Science + Business Media

    Prof Uwe Aickelin

  62. Run or Pat: Using Deep Learning to Classify the Species Type and Emotion of Pets

    Article • December 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  63. A Robust Mathematical Model for Blood Supply Chain Network using Game Theory

    Article • December 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  64. A survey on Optimisation-based Semi-supervised Clustering Methods

    Article • December 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  65. Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy

    Article • Computers in Biology and Medicine, December 2021, Elsevier

    Prof Uwe Aickelin

  66. Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature

    Article • International Journal of Intelligent Systems, October 2021, Wiley

    Alhamzah Alnoor, Prof Uwe Aickelin

  67. Based on T-spherical fuzzy environment: A combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients

    Article • Journal of Infection and Public Health, October 2021, Elsevier

    Alhamzah Alnoor, Prof Uwe Aickelin

  68. A hybrid mathematical modelling approach for energy generation from hazardous waste during the COVID-19 pandemic

    Article • Journal of Cleaner Production, September 2021, Elsevier

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  69. Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge

    Article • July 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  70. Constructing classifiers for imbalanced data using diversity optimisation

    Article • Information Sciences, July 2021, Elsevier

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  71. A hybrid medical text classification framework: Integrating attentive rule construction and neural network

    Article • Neurocomputing, July 2021, Elsevier

    Prof Uwe Aickelin

  72. A hybrid pricing and cutting approach for the multi-shift full truckload vehicle routing problem

    Article • European Journal of Operational Research, July 2021, Elsevier

    Prof Uwe Aickelin

  73. Guest Editorial: Special issue on “Artificial Intelligence in Health Informatics”

    Article • Health Information Science and Systems, June 2021, Springer Science + Business Media

    Prof Uwe Aickelin

  74. A Method for Evaluating Options for Motif Detection in Electricity Meter Data

    Article • Journal of Data Science, February 2021, School of Statistics, Renmin University of China

    Prof Uwe Aickelin

  75. A Review on Human–AI Interaction in Machine Learning and Insights for Medical Applications

    Article • International Journal of Environmental Research and Public Health, February 2021, MDPI AG

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  76. On the Importance of Diversity in Re-Sampling for Imbalanced Data and Rare Events in Mortality Risk Models

    Article • February 2021, ACM (Association for Computing Machinery)

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  77. Handling uncertainty using features from pathology: opportunities in primary care data for developing high risk cancer survival methods

    Article • February 2021, ACM (Association for Computing Machinery)

    Prof Uwe Aickelin

  78. Primary Care Datasets for Early Lung Cancer Detection: An AI Led Approach

    Article • January 2021, Springer Science + Business Media

    Prof Uwe Aickelin

  79. An interval-based aggregation approach based on Bagging and Interval Agreement Approach in ensemble learning

    Article • December 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  80. Multicriteria group decision-making under uncertainty using interval data and cloud models

    Article • Journal of the Operational Research Society, August 2020, Taylor & Francis

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  81. Similarity measure for aggregated fuzzy numbers from interval-valued data

    Article • Soft Computing Letters, August 2020, Elsevier

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  82. Uncertainty measures for probabilistic hesitant fuzzy sets in multiple criteria decision making

    Article • International Journal of Intelligent Systems, July 2020, Wiley

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  83. Machine learning with incomplete datasets using multi-objective optimization models

    Article • July 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  84. Methods of ranking for aggregated fuzzy numbers from interval-valued data

    Article • July 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  85. Data-Driven Regular Expressions Evolution for Medical Text Classification Using Genetic Programming

    Article • July 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  86. Information-theoretic analysis for transfer learning

    Article • June 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  87. PNS215 IMPROVING ACCURACY OF RECORD LINKAGE USING GRAPH STRUCTURES: RELEVANCE FOR HEALTH OUTCOMES RESEARCH?

    Article • Value in Health, May 2020, Elsevier

    Prof Uwe Aickelin

  88. Health Informatics—Ambitions and Purpose

    Article • Frontiers in Digital Health, December 2019, Frontiers

    Prof Uwe Aickelin

  89. Imputation techniques on missing values in breast cancer treatment and fertility data

    Article • Health Information Science and Systems, October 2019, Springer Science + Business Media

    Prof Uwe Aickelin

  90. Multi-objective semi-supervised clustering to identify health service patterns for injured patients

    Article • Health Information Science and Systems, August 2019, Springer Science + Business Media

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  91. Retrieving and ranking short medical questions with two stages neural matching model

    Article • June 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  92. Predictors of Return to Work for Occupational Rehabilitation Users in Work-Related Injury Insurance Claims: Insights from Mental Health

    Article • Journal of Occupational Rehabilitation, March 2019, Springer Science + Business Media

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  93. Early Identification of Undesirable Outcomes for Transport Accident Injured Patients Using Semi-Supervised Clustering

    Article • January 2019, IOS Press

    Dr Hadi Akbarzadeh Khorshidi, Prof Uwe Aickelin

  94. Regular Expression Based Medical Text Classification Using Constructive Heuristic Approach

    Article • IEEE Access, January 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  95. Teaching Key Machine Learning Principles Using Anti-learning Datasets

    Article • December 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  96. Measuring Behavioural Change of Players in Public Goods Game

    Article • December 2017, Springer Science + Business Media

    Prof Uwe Aickelin

  97. Using simulation to incorporate dynamic criteria into multiple criteria decision-making

    Article • Journal of the Operational Research Society, December 2017, Taylor & Francis

    Prof Uwe Aickelin

  98. Fuzzy C-means-based scenario bundling for stochastic service network design

    Article • November 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  99. THCluster: Herb supplements categorization for precision traditional Chinese medicine

    Article • November 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  100. Measuring Player’s Behaviour Change over Time in Public Goods Game

    Article • August 2017, Springer Science + Business Media

    Prof Uwe Aickelin

  101. Novel similarity measure for interval-valued data based on overlapping ratio

    Article • July 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  102. CRNN: A Joint Neural Network for Redundancy Detection

    Article • May 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  103. Measuring agreement on linguistic expressions in medical treatment scenarios

    Article • December 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  104. Modelling cyber-security experts' decision making processes using aggregation operators

    Article • Computers & Security, September 2016, Elsevier

    Prof Uwe Aickelin

  105. Exploring differences in interpretation of words essential in medical expert-patient communication

    Article • July 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  106. Simulating user learning in authoritative technology adoption: An agent based model for council-led smart meter deployment planning in the UK

    Article • Technological Forecasting and Social Change, May 2016, Elsevier

    Prof Uwe Aickelin

  107. Supervised Anomaly Detection in Uncertain Pseudoperiodic Data Streams

    Article • ACM Transactions on Internet Technology, February 2016, ACM (Association for Computing Machinery)

    Prof Uwe Aickelin, Le Sun, Hua Wang

  108. Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining

    Article • Computers in Biology and Medicine, February 2016, Elsevier

    Prof Uwe Aickelin

  109. CRNN: A Joint Neural Network for Redundancy Detection

    Article • SSRN Electronic Journal, January 2016, Elsevier

    Prof Uwe Aickelin

  110. Applying Interval Type-2 Fuzzy Rule Based Classifiers Through a Cluster-Based Class Representation

    Article • December 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  111. An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates

    Article • October 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  112. A supervised adverse drug reaction signalling framework imitating Bradford Hill’s causality considerations

    Article • Journal of Biomedical Informatics, August 2015, Elsevier

    Prof Uwe Aickelin

  113. Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework

    Article • August 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  114. Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence

    Article • PLOS One, March 2015, PLOS

    Prof Uwe Aickelin

  115. Indebted Households Profiling: A Knowledge Discovery from Database Approach

    Article • Annals of Data Science, March 2015, Springer Science + Business Media

    Prof Uwe Aickelin

  116. Feature Selection in Detection of Adverse Drug Reactions from the Health Improvement Network (THIN) Database

    Article • International Journal of Information Technology and Computer Science, February 2015, MECS Publisher

    Prof Uwe Aickelin

  117. Health Information Science

    Article • January 2015

    Prof Uwe Aickelin

  118. Identifying Candidate Risk Factors for Prescription Drug Side Effects Using Causal Contrast Set Mining

    Article • January 2015, Springer Science + Business Media

    Prof Uwe Aickelin

  119. An Improved System For Sentence-Level Novelty Detection In Textual Streams

    Article • January 2015, the Institution of Engineering and Technology (the IET)

    Prof Uwe Aickelin

  120. A Data Mining Framework to Model Consumer Indebtedness with Psychological Factors

    Article • December 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  121. Personalising Mobile Advertising Based on Users' Installed Apps

    Article • December 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  122. Incorporating Spontaneous Reporting System Data to Aid Causal Inference in Longitudinal Healthcare Data

    Article • December 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  123. Refining Adverse Drug Reactions Using Association Rule Mining for Electronic Healthcare Data

    Article • December 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  124. Analysing fuzzy sets through combining measures of similarity and distance

    Article • July 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  125. Augmented Neural Networks for modelling consumer indebtness

    Article • July 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  126. Tuning a multiple classifier system for side effect discovery using genetic algorithms

    Article • July 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  127. Comparison of Distance metrics for hierarchical data in medical databases

    Article • July 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  128. A fuzzy directional distance measure

    Article • July 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  129. Comparing Stochastic Differential Equations and Agent-Based Modelling and Simulation for Early-Stage Cancer

    Article • PLOS One, April 2014, PLOS

    Prof Uwe Aickelin

  130. A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery

    Article • IEEE Journal of Biomedical and Health Informatics, March 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  131. Data classification using the Dempster–Shafer method

    Article • Journal of Experimental & Theoretical Artificial Intelligence, February 2014, Taylor & Francis

    Prof Uwe Aickelin

  132. Signalling Paediatric Side Effects using an Ensemble of Simple Study Designs

    Article • Drug Safety, February 2014, Springer Science + Business Media

    Prof Uwe Aickelin

  133. Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the Same Time Each Day?

    Article • January 2014, Springer Science + Business Media

    Prof Uwe Aickelin

  134. Towards the development of a simulator for investigating the impact of people management practices on retail performance

    Article • January 2014, Nature

    Prof Uwe Aickelin

  135. On the Role of the AIS Practitioner

    Article • September 2013, The MIT Press

    Prof Uwe Aickelin, Prof Emma Hart

  136. The use of Agent-based Simulation to Discover Extreme Cases in Immune-Interactions with Early-Stage Cancer Scenarios

    Article • September 2013, The MIT Press

    Prof Uwe Aickelin

  137. Measuring the directional distance between fuzzy sets

    Article • September 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  138. Comparison of algorithms that detect drug side effects using electronic healthcare databases

    Article • Soft Computing, August 2013, Springer Science + Business Media

    Prof Uwe Aickelin

  139. Artificial Immune Systems

    Article • July 2013, Springer Science + Business Media

    Prof Uwe Aickelin

  140. Interval type-2 fuzzy logic based robotic sailing

    Article • July 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  141. Ensemble learning of colorectal cancer survival rates

    Article • July 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  142. Extending similarity measures of interval type-2 fuzzy sets to general type-2 fuzzy sets

    Article • July 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  143. Attributes for causal inference in electronic healthcare databases

    Article • June 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  144. Theoretical formulation and analysis of the deterministic dendritic cell algorithm

    Article • Biosystems, February 2013, Elsevier

    Prof Uwe Aickelin

  145. Towards a More Systematic Approach to Secure Systems Design and Analysis

    Article • International Journal of Secure Software Engineering, January 2013, IGI Global

    Prof Uwe Aickelin

  146. Wavelet feature extraction and genetic algorithm for biomarker detection in colorectal cancer data

    Article • Knowledge-Based Systems, January 2013, Elsevier

    Prof Uwe Aickelin

  147. Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective

    Article • BMC Bioinformatics, January 2013, Springer Science + Business Media

    Prof Uwe Aickelin

  148. Detect Adverse Drug Reactions for Drug Simvastatin

    Article • November 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  149. Modelling Electrical Car Diffusion Based on Agent

    Article • International Journal of Digital Content Technology and its Applications, October 2012, AICIT

    Prof Uwe Aickelin

  150. Detect adverse drug reactions for drug Pioglitazone

    Article • October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  151. Detect Adverse Drug Reactions for Drug Alendronate

    Article • October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  152. Detect Adverse Drug Reactions for Drug Atorvastatin

    Article • October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  153. Detect Adverse drug reactions for drug Aspirin

    Article • October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  154. Detect adverse drug reactions for the drug Pravastatin

    Article • October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  155. Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters

    Article • October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  156. Comparing data-mining algorithms developed for longitudinal observational databases

    Article • September 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  157. A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK

    Article • Energy Policy, August 2012, Elsevier

    Prof Uwe Aickelin

  158. Evaluating Different Cost-Benefit Analysis Methods for Port Security Operations

    Article • July 2012, Taylor & Francis

    Prof Uwe Aickelin

  159. Privileged information for data clustering

    Article • Information Sciences, July 2012, Elsevier

    Prof Uwe Aickelin

  160. An investigation into the relationship between type-2 FOU size and environmental uncertainty in robotic control

    Article • June 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  161. Variance In System Dynamics And Agent Based Modelling Using The SIR Model Of Infectious Disease

    Article • May 2012, European Council for Modeling and Simulation

    Prof Uwe Aickelin

  162. Investigating the Effectiveness of Variance Reduction Techniques in Manufacturing, Call Center and Cross-Docking Discrete Event Simulation Models

    Article • January 2012, Springer Science + Business Media

    Prof Uwe Aickelin

  163. A Beginner’s Guide to Systems Simulation in Immunology

    Article • January 2012, Springer Science + Business Media

    Prof Uwe Aickelin

  164. Validation of a microsimulation of the Port of Dover

    Article • Journal of Computational Science, January 2012, Elsevier

    Prof Uwe Aickelin

  165. Discovering sequential patterns in a UK general practice database

    Article • January 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  166. The Dendritic Cell Algorithm for Intrusion Detection

    Article • January 2012, IGI Global

    Prof Uwe Aickelin

  167. Modelling electricity consumption in office buildings: An agent based approach

    Article • Energy and Buildings, October 2011, Elsevier

    Prof Uwe Aickelin

  168. A comparison of non-stationary, type-2 and dual surface fuzzy control

    Article • June 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  169. A First Approach on Modelling Staff Proactiveness in Retail Simulation Models

    Article • Journal of Artificial Societies and Social Simulation, January 2011, Journal of Artificial Societies and Social Simulation

    Prof Uwe Aickelin

  170. Simulating the Dynamics of T Cell Subsets throughout the Lifetime

    Article • January 2011, Springer Science + Business Media

    Prof Uwe Aickelin

  171. Quiet in Class: Classification, Noise and the Dendritic Cell Algorithm

    Article • January 2011, Springer Science + Business Media

    Prof Uwe Aickelin

  172. Systems Dynamics or Agent-Based Modelling for Immune Simulation?

    Article • January 2011, Springer Science + Business Media

    Prof Uwe Aickelin

  173. Heuristic optimisation

    Article • Journal of the Operational Research Society, December 2010, Nature

    Prof Uwe Aickelin

  174. A New Graphical Password Scheme Resistant to Shoulder-Surfing

    Article • October 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  175. Towards the development of a simulator for investigating the impact of people management practices on retail performance

    Article • Journal of Simulation, October 2010, Nature

    Prof Uwe Aickelin

  176. Motif detection inspired by immune memory

    Article • Journal of the Operational Research Society, July 2010, Nature

    Prof Uwe Aickelin

  177. Real-world transfer of evolved artificial immune system behaviours between small and large scale robotic platforms

    Article • Evolutionary Intelligence, July 2010, Springer Science + Business Media

    Prof Uwe Aickelin

  178. An Audio CAPTCHA to Distinguish Humans from Computers

    Article • July 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  179. Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot

    Article • Applied Soft Computing, June 2010, Elsevier

    Prof Uwe Aickelin

  180. Behavioural Correlation for Detecting P2P Bots

    Article • January 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  181. Artificial Immune Systems

    Article • January 2010, Springer Science + Business Media

    Prof Uwe Aickelin

  182. Defining a Simulation Strategy for Cancer Immunocompetence

    Article • January 2010, Springer Science + Business Media

    Prof Uwe Aickelin

  183. Information fusion in the immune system

    Article • Information Fusion, January 2010, Elsevier

    Prof Uwe Aickelin

  184. Information fusion for anomaly detection with the dendritic cell algorithm

    Article • Information Fusion, January 2010, Elsevier

    Prof Uwe Aickelin

  185. The Transfer of Evolved Artificial Immune System Behaviours between Small and Large Scale Robotic Platforms

    Article • January 2010, Springer Science + Business Media

    Prof Uwe Aickelin

  186. Can Background Baroque Music Help to Improve the Memorability of Graphical Passwords?

    Article • January 2010, Springer Science + Business Media

    Prof Uwe Aickelin

  187. Against Spyware Using CAPTCHA in Graphical Password Scheme

    Article • January 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  188. The effect of baroque music on the PassPoints graphical password

    Article • January 2010, ACM (Association for Computing Machinery)

    Prof Uwe Aickelin

  189. Tailored RF pulse for magnetization inversion at ultrahigh field

    Article • Magnetic Resonance in Medicine, October 2009, Wiley

    Prof Uwe Aickelin, Dr. Ali Al-Radaideh

  190. Simulating Customer Experience and Word-Of-Mouth in Retail — A Case Study

    Article • SIMULATION, October 2009, SAGE Publications

    Prof Uwe Aickelin

  191. A Component-Based Heuristic Search Method with Evolutionary Eliminations for Hospital Personnel Scheduling

    Article • INFORMS Journal on Computing, August 2009, INFORMS

    Prof Uwe Aickelin

  192. An Evolutionary Squeaky Wheel Optimization Approach to Personnel Scheduling

    Article • IEEE Transactions on Evolutionary Computation, April 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  193. Artificial Immune Systems

    Article • January 2009

    Prof Uwe Aickelin

  194. Exploration of the Dendritic Cell Algorithm Using the Duration Calculus

    Article • January 2009, Springer Science + Business Media

    Prof Uwe Aickelin

  195. Modelling and simulating retail management practices: a first approach

    Article • International Journal of Simulation and Process Modelling, January 2009, Inderscience Publishers

    Prof Uwe Aickelin

  196. Parcellation of fMRI Datasets with ICA and PLS-A Data Driven Approach

    Article • January 2009, Springer Science + Business Media

    Prof Uwe Aickelin

  197. STORM - A Novel Information Fusion and Cluster Interpretation Technique

    Article • January 2009, Springer Science + Business Media

    Prof Uwe Aickelin

  198. Cheating for problem solving

    Article • January 2009, ACM (Association for Computing Machinery)

    Prof Uwe Aickelin

  199. Integrating real-time analysis with the dendritic cell algorithm through segmentation

    Article • January 2009, ACM (Association for Computing Machinery)

    Prof Uwe Aickelin

  200. Modelling and simulating retail management practices: a first approach

    Article • International Journal of Simulation and Process Modelling, January 2009, Inderscience Publishers

    Prof Uwe Aickelin

  201. An Immune-Inspired Approach to Anomaly Detection

    Article • January 2009, IGI Global

    Prof Uwe Aickelin

  202. ToLeRating UR-STD

    Article • August 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  203. DCA for bot detection

    Article • June 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  204. The DCA: SOMe comparison

    Article • Evolutionary Intelligence, May 2008, Springer Science + Business Media

    Prof Uwe Aickelin

  205. Special issue on artificial immune systems

    Article • Evolutionary Intelligence, April 2008, Springer Science + Business Media

    Prof Uwe Aickelin

  206. Detecting Bots Based on Keylogging Activities

    Article • March 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  207. Detecting Danger: The Dendritic Cell Algorithm

    Article • January 2008, Springer Science + Business Media

    Prof Uwe Aickelin

  208. The motif tracking algorithm

    Article • International Journal of Automation and Computing, January 2008, Springer Science + Business Media

    Prof Uwe Aickelin

  209. Using intelligent agents to understand management practices and retail productivity

    Article • December 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  210. Idiotypic Immune Networks in Mobile-Robot Control

    Article • IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), December 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  211. An estimation of distribution algorithm for nurse scheduling

    Article • Annals of Operations Research, July 2007, Springer Science + Business Media

    Prof Uwe Aickelin

  212. Immune system approaches to intrusion detection – a review

    Article • Natural Computing, January 2007, Springer Science + Business Media

    Prof Uwe Aickelin

  213. Sensing danger: Innate immunology for intrusion detection

    Article • Information Security Technical Report, January 2007, Elsevier

    Prof Uwe Aickelin

  214. Biological Inspiration for Artificial Immune Systems

    Article • January 2007, Springer Science + Business Media

    Prof Uwe Aickelin

  215. Motif Detection Inspired by Immune Memory

    Article • January 2007, Springer Science + Business Media

    Prof Uwe Aickelin

  216. Dendritic cells for SYN scan detection

    Article • January 2007, ACM (Association for Computing Machinery)

    Prof Uwe Aickelin

  217. Detecting Motifs in System Call Sequences

    Article • January 2007, Springer Science + Business Media

    Prof Uwe Aickelin

  218. Rule generalisation in intrusion detection systems using SNORT

    Article • International Journal of Electronic Security and Digital Forensics, January 2007, Inderscience Publishers

    Prof Uwe Aickelin

  219. The Application of a Dendritic Cell Algorithm to a Robotic Classifier

    Article • January 2007, Springer Science + Business Media

    Prof Uwe Aickelin

  220. An estimation of distribution algorithm with intelligent local search for rule-based nurse rostering

    Article • Journal of the Operational Research Society, October 2006, Nature

    Prof Uwe Aickelin

  221. Book Selection

    Article • Journal of the Operational Research Society, February 2006, Nature

    Prof Uwe Aickelin

  222. Book Selection

    Article • Journal of the Operational Research Society, February 2006, Nature

    Prof Uwe Aickelin

  223. Book Selection

    Article • Journal of the Operational Research Society, February 2006, Nature

    Prof Uwe Aickelin

  224. Book Selection

    Article • Journal of the Operational Research Society, January 2006, Nature

    Prof Uwe Aickelin

  225. Price Trackers Inspired by Immune Memory

    Article • January 2006, Springer Science + Business Media

    Prof Uwe Aickelin

  226. Integrating Innate and Adaptive Immunity for Intrusion Detection

    Article • January 2006, Springer Science + Business Media

    Prof Uwe Aickelin

  227. Articulation and Clarification of the Dendritic Cell Algorithm

    Article • January 2006, Springer Science + Business Media

    Prof Uwe Aickelin

  228. BOA for Nurse Scheduling

    Article • January 2006, Springer Science + Business Media

    Prof Uwe Aickelin

  229. Improved Squeaky Wheel Optimisation for Driver Scheduling

    Article • January 2006, Springer Science + Business Media

    Prof Uwe Aickelin

  230. Book Selection

    Article • Journal of the Operational Research Society, November 2005, Nature

    Prof Uwe Aickelin

  231. Book Selection

    Article • Journal of the Operational Research Society, October 2005, Nature

    Prof Uwe Aickelin

  232. A Recommender System based on Idiotypic Artificial Immune Networks

    Article • Journal of Mathematical Modelling and Algorithms, June 2005, Springer Science + Business Media

    Prof Uwe Aickelin

  233. Book Selection

    Article • Journal of the Operational Research Society, April 2005, Nature

    Prof Uwe Aickelin

  234. Book Selection

    Article • Journal of the Operational Research Society, March 2005, Nature

    Prof Uwe Aickelin

  235. Book Selection

    Article • Journal of the Operational Research Society, February 2005, Nature

    Prof Uwe Aickelin

  236. Towards a Conceptual Framework for Innate Immunity

    Article • January 2005, Springer Science + Business Media

    Prof Uwe Aickelin

  237. Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection

    Article • January 2005, Springer Science + Business Media

    Prof Uwe Aickelin

  238. Cooperative Automated Worm Response and Detection ImmuNe ALgorithm(CARDINAL) Inspired by T-Cell Immunity and Tolerance

    Article • January 2005, Springer Science + Business Media

    Prof Uwe Aickelin

  239. An indirect Genetic Algorithm for a nurse-scheduling problem

    Article • Computers & Operations Research, April 2004, Elsevier

    Prof Uwe Aickelin

  240. Building Better Nurse Scheduling Algorithms

    Article • Annals of Operations Research, April 2004, Springer Science + Business Media

    Prof Uwe Aickelin

  241. Immune System Approaches to Intrusion Detection – A Review

    Article • January 2004, Springer Science + Business Media

    Prof Uwe Aickelin

  242. The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling

    Article • January 2004, Springer Science + Business Media

    Prof Uwe Aickelin

  243. Danger Theory: The Link between AIS and IDS?

    Article • January 2003, Springer Science + Business Media

    Prof Uwe Aickelin

  244. An indirect genetic algorithm for set covering problems

    Article • Journal of the Operational Research Society, October 2002, Nature

    Prof Uwe Aickelin

  245. Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem

    Article • Journal of Heuristics, September 2002, Springer Science + Business Media

    Prof Uwe Aickelin

  246. Exploiting problem structure in a genetic algorithm approach to a nurse rostering problem

    Article • Journal of Scheduling, May 2000, Wiley

    Prof Uwe Aickelin

  247. Ueber 5-Oxy-1.2.3-triazole

    Article • European Journal of Inorganic Chemistry, November 1906, Wiley

    Prof Uwe Aickelin

  248. Modelling Immunological Memory

    Article • Springer Science + Business Media

    Prof Uwe Aickelin

  249. Investigating a Hybrid Metaheuristic for Job Shop Rescheduling

    Article • Springer Science + Business Media

    Prof Uwe Aickelin

  250. Artificial Immune Systems

    Article • Springer Science + Business Media

    Prof Uwe Aickelin, Professor Dipankar Dasgupta

  251. Introduction to Multi-Agent Simulation

    Article • IGI Global

    Prof Uwe Aickelin

  252. The Deterministic Dendritic Cell Algorithm

    Article • Springer Science + Business Media

    Prof Uwe Aickelin

  253. Introduction to Multi-Agent Simulation

    Article • IGI Global

    Prof Uwe Aickelin

  254. Multi-Agent Simulation and Management Practices

    Article • IGI Global

    Prof Uwe Aickelin

  255. Further Exploration of the Dendritic Cell Algorithm: Antigen Multiplier and Time Windows

    Article • Springer Science + Business Media

    Prof Uwe Aickelin

  256. Artificial Dendritic Cells: Multi-faceted Perspectives

    Article • Springer Science + Business Media

    Prof Uwe Aickelin

  257. Real-Time Alert Correlation with Type Graphs

    Article • Springer Science + Business Media

    Prof Uwe Aickelin

  258. Multi-Agent Simulation and Management Practices

    Article • IGI Global

    Prof Uwe Aickelin

  259. An Idiotypic Immune Network as a Short-Term Learning Architecture for Mobile Robots

    Article • Springer Science + Business Media

    Prof Uwe Aickelin

  260. Enhancing Productivity: The Role of Management Practices

    Article • SSRN Electronic Journal, Social Science Electronic Publishing

    Prof Uwe Aickelin

  261. libtissue - implementing innate immunity

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  262. Dendritic Cells for Anomaly Detection

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  263. A Bayesian optimization algorithm for the nurse scheduling problem

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  264. A recommender system based on the immune network

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof Uwe Aickelin

  265. Towards the development of a simulator for investigating the impact of people management practices on retail performance

    Article • Nature

    Prof Uwe Aickelin