All Stories

  1. Improving Emergency Department Decision-Making Through High-Cardinality Feature Integration
  2. Breathing Cycle-Aware Segmentation for Patient-Ventilator Asynchrony Detection
  3. Development of a Machine Learning Model for Predicting Treatment-Related Amenorrhea in Young Women with Breast Cancer
  4. Development of a Machine Learning Model for Predicting Treatment-Related Amenorrhea in Young Women with Breast Cancer
  5. Single-objective robust optimisation in bioprocessing with conformalised quantile regression as interval-based surrogate models
  6. Capturing uncertainty in black-box chromatography modelling using conformal prediction and Gaussian processes
  7. Fast Rate Information-Theoretic Bounds on Generalization Errors
  8. Einstein: a fast online segmentation (pseudo-period extraction) algorithm for complex pseudo-periodic data streams
  9. Developing interpretable machine learning models to predict length of stay and disposition decision for adult patients in emergency departments
  10. A synthetic over-sampling method with minority and majority classes for imbalance problems
  11. Teaching AI to Know When It’s Unsure: A Guide to Safer and More Reliable Predictions.
  12. The Effect of Freezing and Thawing on Mozzarella Cheese: Insights from Industrial-Scale Experiments and Mathematical and Digital Analysis
  13. Time Series Classification with Elasticity Using Augmented Path Signatures
  14. Polysomnographic titration of non-invasive ventilation in motor neurone disease (3TLA): study protocol for a randomised controlled trial
  15. Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records
  16. SHIP: A Shapelet-Based Approach for Interpretable Patient-Ventilator Asynchrony Detection
  17. Turning Uncertainty to Information by Intervals in Ensemble Classifiers
  18. VDASI: VAE-Enhanced Degradation-Aware System Identification Using Constrained Latent Spaces
  19. On the Generalization for Transfer Learning: An Information-Theoretic Analysis
  20. ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification
  21. A review on over-sampling techniques in classification of multi-class imbalanced datasets: insights for medical problems
  22. Enhancing constraint programming via supervised learning for job shop scheduling
  23. Probabilistic hesitant fuzzy multiple criteria decision-making with triangular norm based similarity and entropy measures
  24. Uncertainty-aware non-invasive patient–ventilator asynchrony detection using latent Gaussian mixture generative classifier with noisy label correction
  25. Editorial: Special issue on operations research and machine learning
  26. Optimised deep k-nearest neighbour’s based diabetic retinopathy diagnosis(ODeep-NN) using retinal images
  27. A Lightweight-Window-Portion-Based Multiple Imputation for Extreme Missing Gaps in IoT Systems
  28. Diagnostic clinical decision support based on deep learning and knowledge-based systems for psoriasis: From diagnosis to treatment options
  29. Enhancing Predictive Modeling in Emergency Departments
  30. Identification of Patient Ventilator Asynchrony in Physiological Data Through Integrating Machine-Learning
  31. An operational planning for emergency medical services considering the application of IoT
  32. A Diversity-Based Synthetic Oversampling Using Clustering for Handling Extreme Imbalance
  33. A Bayesian approach to (online) transfer learning: Theory and algorithms
  34. A deep reinforcement learning hyper-heuristic with feature fusion for online packing problems
  35. Cloud model-based best-worst method for group decision making under uncertainty
  36. Time-sensitive cancellation refund in advance booking: Effect of online-to-offline marketing policy
  37. An Uncertainty-Accuracy-Based Score Function for Wrapper Methods in Feature Selection
  38. Evaluation of the Early Intervention Physiotherapist Framework for Injured Workers in Victoria, Australia: Data Analysis Follow-Up
  39. Guest Editorial Special Issue on Multiobjective Evolutionary Optimization in Machine Learning
  40. A decision modeling approach for smart e-tourism data management applications based on spherical fuzzy rough environment
  41. Evaluation of the Early Intervention Physiotherapist Framework for Injured Workers in Victoria, Australia: Data Analysis Follow-up
  42. A scoping review of supervised learning modelling and data-driven optimisation in monoclonal antibody process development
  43. Pharmaceutical process optimisation: Decision support under high uncertainty
  44. Energy valley optimizer: a novel metaheuristic algorithm for global and engineering optimization
  45. Uncertainty in Selective Bagging: A Dynamic Bi-objective Optimization Model
  46. Quasi-Periodicity Detection via Repetition Invariance of Path Signatures
  47. A Comprehensive Survey on Imputation of Missing Data in Internet of Things
  48. Engineering Blockchain-based Software Systems: Foundations, Survey, and Future Directions
  49. Fast Rate Generalization Error Bounds: Variations on a Theme
  50. Shape and size optimization of truss structures by Chaos game optimization considering frequency constraints
  51. Expert–Machine Collaborative Decision Making: We Need Healthy Competition
  52. A cooperative robust human resource allocation problem for healthcare systems for disaster management
  53. Multi-objective Semi-supervised clustering for finding predictive clusters
  54. A hybrid projection method for resource-constrained project scheduling problem under uncertainty
  55. 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
  56. Novel dynamic fuzzy Decision-Making framework for COVID-19 vaccine dose recipients
  57. Based on neutrosophic fuzzy environment: a new development of FWZIC and FDOSM for benchmarking smart e-tourism applications
  58. AI Based Cancer Detection Models Using Primary Care Datasets
  59. Cluster-based Diversity Over-sampling: A Density and Diversity Oriented Synthetic Over-sampling for Imbalanced Data
  60. Early Detection and Classification of Patient-Ventilator Asynchrony Using Machine Learning
  61. Limitations
  62. Patient-Ventilator Asynchrony Detection via Similarity Search Methods
  63. Untangling the Concept of Artificial Intelligence, Machine Learning, and Deep Learning
  64. Run or Pat: Using Deep Learning to Classify the Species Type and Emotion of Pets
  65. A Robust Mathematical Model for Blood Supply Chain Network using Game Theory
  66. A survey on Optimisation-based Semi-supervised Clustering Methods
  67. Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy
  68. Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature
  69. Based on T-spherical fuzzy environment: A combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients
  70. A hybrid mathematical modelling approach for energy generation from hazardous waste during the COVID-19 pandemic
  71. Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge
  72. Constructing classifiers for imbalanced data using diversity optimisation
  73. A hybrid medical text classification framework: Integrating attentive rule construction and neural network
  74. A hybrid pricing and cutting approach for the multi-shift full truckload vehicle routing problem
  75. Guest Editorial: Special issue on “Artificial Intelligence in Health Informatics”
  76. A Method for Evaluating Options for Motif Detection in Electricity Meter Data
  77. A Review on Human–AI Interaction in Machine Learning and Insights for Medical Applications
  78. On the Importance of Diversity in Re-Sampling for Imbalanced Data and Rare Events in Mortality Risk Models
  79. Handling uncertainty using features from pathology: opportunities in primary care data for developing high risk cancer survival methods
  80. Primary Care Datasets for Early Lung Cancer Detection: An AI Led Approach
  81. An interval-based aggregation approach based on Bagging and Interval Agreement Approach in ensemble learning
  82. Multicriteria group decision-making under uncertainty using interval data and cloud models
  83. Similarity measure for aggregated fuzzy numbers from interval-valued data
  84. Uncertainty measures for probabilistic hesitant fuzzy sets in multiple criteria decision making
  85. Machine learning with incomplete datasets using multi-objective optimization models
  86. Methods of ranking for aggregated fuzzy numbers from interval-valued data
  87. Data-Driven Regular Expressions Evolution for Medical Text Classification Using Genetic Programming
  88. Information-theoretic analysis for transfer learning
  89. PNS215 IMPROVING ACCURACY OF RECORD LINKAGE USING GRAPH STRUCTURES: RELEVANCE FOR HEALTH OUTCOMES RESEARCH?
  90. Health Informatics—Ambitions and Purpose
  91. Imputation techniques on missing values in breast cancer treatment and fertility data
  92. Multi-objective semi-supervised clustering to identify health service patterns for injured patients
  93. Retrieving and ranking short medical questions with two stages neural matching model
  94. Predictors of Return to Work for Occupational Rehabilitation Users in Work-Related Injury Insurance Claims: Insights from Mental Health
  95. Early Identification of Undesirable Outcomes for Transport Accident Injured Patients Using Semi-Supervised Clustering
  96. Regular Expression Based Medical Text Classification Using Constructive Heuristic Approach
  97. Teaching Key Machine Learning Principles Using Anti-learning Datasets
  98. Measuring Behavioural Change of Players in Public Goods Game
  99. Using simulation to incorporate dynamic criteria into multiple criteria decision-making
  100. Fuzzy C-means-based scenario bundling for stochastic service network design
  101. THCluster: Herb supplements categorization for precision traditional Chinese medicine
  102. Measuring Player’s Behaviour Change over Time in Public Goods Game
  103. Novel similarity measure for interval-valued data based on overlapping ratio
  104. CRNN: A Joint Neural Network for Redundancy Detection
  105. Measuring agreement on linguistic expressions in medical treatment scenarios
  106. Modelling cyber-security experts' decision making processes using aggregation operators
  107. Exploring differences in interpretation of words essential in medical expert-patient communication
  108. Simulating user learning in authoritative technology adoption: An agent based model for council-led smart meter deployment planning in the UK
  109. Supervised Anomaly Detection in Uncertain Pseudoperiodic Data Streams
  110. Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining
  111. CRNN: A Joint Neural Network for Redundancy Detection
  112. Applying Interval Type-2 Fuzzy Rule Based Classifiers Through a Cluster-Based Class Representation
  113. An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates
  114. A supervised adverse drug reaction signalling framework imitating Bradford Hill’s causality considerations
  115. Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework
  116. Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence
  117. Indebted Households Profiling: A Knowledge Discovery from Database Approach
  118. Feature Selection in Detection of Adverse Drug Reactions from the Health Improvement Network (THIN) Database
  119. Health Information Science
  120. Identifying Candidate Risk Factors for Prescription Drug Side Effects Using Causal Contrast Set Mining
  121. An Improved System For Sentence-Level Novelty Detection In Textual Streams
  122. A Data Mining Framework to Model Consumer Indebtedness with Psychological Factors
  123. Personalising Mobile Advertising Based on Users' Installed Apps
  124. Incorporating Spontaneous Reporting System Data to Aid Causal Inference in Longitudinal Healthcare Data
  125. Refining Adverse Drug Reactions Using Association Rule Mining for Electronic Healthcare Data
  126. Analysing fuzzy sets through combining measures of similarity and distance
  127. Augmented Neural Networks for modelling consumer indebtness
  128. Tuning a multiple classifier system for side effect discovery using genetic algorithms
  129. Comparison of Distance metrics for hierarchical data in medical databases
  130. A fuzzy directional distance measure
  131. Comparing Stochastic Differential Equations and Agent-Based Modelling and Simulation for Early-Stage Cancer
  132. A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery
  133. Data classification using the Dempster–Shafer method
  134. Signalling Paediatric Side Effects using an Ensemble of Simple Study Designs
  135. Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the Same Time Each Day?
  136. Towards the development of a simulator for investigating the impact of people management practices on retail performance
  137. On the Role of the AIS Practitioner
  138. The use of Agent-based Simulation to Discover Extreme Cases in Immune-Interactions with Early-Stage Cancer Scenarios
  139. Measuring the directional distance between fuzzy sets
  140. Comparison of algorithms that detect drug side effects using electronic healthcare databases
  141. Artificial Immune Systems
  142. Interval type-2 fuzzy logic based robotic sailing
  143. Ensemble learning of colorectal cancer survival rates
  144. Extending similarity measures of interval type-2 fuzzy sets to general type-2 fuzzy sets
  145. Attributes for causal inference in electronic healthcare databases
  146. Theoretical formulation and analysis of the deterministic dendritic cell algorithm
  147. Towards a More Systematic Approach to Secure Systems Design and Analysis
  148. Wavelet feature extraction and genetic algorithm for biomarker detection in colorectal cancer data
  149. Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective
  150. Detect Adverse Drug Reactions for Drug Simvastatin
  151. Modelling Electrical Car Diffusion Based on Agent
  152. Detect adverse drug reactions for drug Pioglitazone
  153. Detect Adverse Drug Reactions for Drug Alendronate
  154. Detect Adverse Drug Reactions for Drug Atorvastatin
  155. Detect Adverse drug reactions for drug Aspirin
  156. Detect adverse drug reactions for the drug Pravastatin
  157. Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters
  158. Comparing data-mining algorithms developed for longitudinal observational databases
  159. A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK
  160. Evaluating Different Cost-Benefit Analysis Methods for Port Security Operations
  161. Privileged information for data clustering
  162. An investigation into the relationship between type-2 FOU size and environmental uncertainty in robotic control
  163. Variance In System Dynamics And Agent Based Modelling Using The SIR Model Of Infectious Disease
  164. Investigating the Effectiveness of Variance Reduction Techniques in Manufacturing, Call Center and Cross-Docking Discrete Event Simulation Models
  165. A Beginner’s Guide to Systems Simulation in Immunology
  166. Validation of a microsimulation of the Port of Dover
  167. Discovering sequential patterns in a UK general practice database
  168. The Dendritic Cell Algorithm for Intrusion Detection
  169. Modelling electricity consumption in office buildings: An agent based approach
  170. A comparison of non-stationary, type-2 and dual surface fuzzy control
  171. A First Approach on Modelling Staff Proactiveness in Retail Simulation Models
  172. Simulating the Dynamics of T Cell Subsets throughout the Lifetime
  173. Quiet in Class: Classification, Noise and the Dendritic Cell Algorithm
  174. Systems Dynamics or Agent-Based Modelling for Immune Simulation?
  175. Heuristic optimisation
  176. A New Graphical Password Scheme Resistant to Shoulder-Surfing
  177. Towards the development of a simulator for investigating the impact of people management practices on retail performance
  178. Motif detection inspired by immune memory
  179. Real-world transfer of evolved artificial immune system behaviours between small and large scale robotic platforms
  180. An Audio CAPTCHA to Distinguish Humans from Computers
  181. Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot
  182. Behavioural Correlation for Detecting P2P Bots
  183. Artificial Immune Systems
  184. Defining a Simulation Strategy for Cancer Immunocompetence
  185. Information fusion in the immune system
  186. Information fusion for anomaly detection with the dendritic cell algorithm
  187. The Transfer of Evolved Artificial Immune System Behaviours between Small and Large Scale Robotic Platforms
  188. Can Background Baroque Music Help to Improve the Memorability of Graphical Passwords?
  189. Against Spyware Using CAPTCHA in Graphical Password Scheme
  190. The effect of baroque music on the PassPoints graphical password
  191. Tailored RF pulse for magnetization inversion at ultrahigh field
  192. Simulating Customer Experience and Word-Of-Mouth in Retail — A Case Study
  193. A Component-Based Heuristic Search Method with Evolutionary Eliminations for Hospital Personnel Scheduling
  194. An Evolutionary Squeaky Wheel Optimization Approach to Personnel Scheduling
  195. Artificial Immune Systems
  196. Exploration of the Dendritic Cell Algorithm Using the Duration Calculus
  197. Modelling and simulating retail management practices: a first approach
  198. Parcellation of fMRI Datasets with ICA and PLS-A Data Driven Approach
  199. STORM - A Novel Information Fusion and Cluster Interpretation Technique
  200. Cheating for problem solving
  201. Integrating real-time analysis with the dendritic cell algorithm through segmentation
  202. Modelling and simulating retail management practices: a first approach
  203. An Immune-Inspired Approach to Anomaly Detection
  204. ToLeRating UR-STD
  205. DCA for bot detection
  206. The DCA: SOMe comparison
  207. Special issue on artificial immune systems
  208. Detecting Bots Based on Keylogging Activities
  209. Detecting Danger: The Dendritic Cell Algorithm
  210. The motif tracking algorithm
  211. Using intelligent agents to understand management practices and retail productivity
  212. Idiotypic Immune Networks in Mobile-Robot Control
  213. An estimation of distribution algorithm for nurse scheduling
  214. Immune system approaches to intrusion detection – a review
  215. Sensing danger: Innate immunology for intrusion detection
  216. Biological Inspiration for Artificial Immune Systems
  217. Motif Detection Inspired by Immune Memory
  218. Dendritic cells for SYN scan detection
  219. Detecting Motifs in System Call Sequences
  220. Rule generalisation in intrusion detection systems using SNORT
  221. The Application of a Dendritic Cell Algorithm to a Robotic Classifier
  222. An estimation of distribution algorithm with intelligent local search for rule-based nurse rostering
  223. Book Selection
  224. Book Selection
  225. Book Selection
  226. Book Selection
  227. Price Trackers Inspired by Immune Memory
  228. Integrating Innate and Adaptive Immunity for Intrusion Detection
  229. Articulation and Clarification of the Dendritic Cell Algorithm
  230. BOA for Nurse Scheduling
  231. Improved Squeaky Wheel Optimisation for Driver Scheduling
  232. Book Selection
  233. Book Selection
  234. A Recommender System based on Idiotypic Artificial Immune Networks
  235. Book Selection
  236. Book Selection
  237. Book Selection
  238. Towards a Conceptual Framework for Innate Immunity
  239. Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection
  240. Cooperative Automated Worm Response and Detection ImmuNe ALgorithm(CARDINAL) Inspired by T-Cell Immunity and Tolerance
  241. An indirect Genetic Algorithm for a nurse-scheduling problem
  242. Building Better Nurse Scheduling Algorithms
  243. Immune System Approaches to Intrusion Detection – A Review
  244. The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling
  245. Danger Theory: The Link between AIS and IDS?
  246. An indirect genetic algorithm for set covering problems
  247. Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem
  248. Exploiting problem structure in a genetic algorithm approach to a nurse rostering problem
  249. Ueber 5-Oxy-1.2.3-triazole
  250. Modelling Immunological Memory
  251. Investigating a Hybrid Metaheuristic for Job Shop Rescheduling
  252. Artificial Immune Systems
  253. Introduction to Multi-Agent Simulation
  254. The Deterministic Dendritic Cell Algorithm
  255. Introduction to Multi-Agent Simulation
  256. Multi-Agent Simulation and Management Practices
  257. Further Exploration of the Dendritic Cell Algorithm: Antigen Multiplier and Time Windows
  258. Artificial Dendritic Cells: Multi-faceted Perspectives
  259. Real-Time Alert Correlation with Type Graphs
  260. Multi-Agent Simulation and Management Practices
  261. An Idiotypic Immune Network as a Short-Term Learning Architecture for Mobile Robots
  262. Enhancing Productivity: The Role of Management Practices
  263. libtissue - implementing innate immunity
  264. Dendritic Cells for Anomaly Detection
  265. A Bayesian optimization algorithm for the nurse scheduling problem
  266. A recommender system based on the immune network
  267. Towards the development of a simulator for investigating the impact of people management practices on retail performance