Uwe Aickelin

Q: What Schools Are Affiliated With Uwe Aickelin

Uwe Aickelin is affiliated with the following schools: University of Nottingham, University of Melbourne

Uwe Aickelin's AcademicInfluence.com Rankings

Uwe Aickelin

Computer Science

#7268

World Rank

#7655

Historical Rank

Data Mining

#171

World Rank

#172

Historical Rank

Machine Learning

#2631

World Rank

#2666

Historical Rank

Artificial Intelligence

#2925

World Rank

#2970

Historical Rank

computer-science Degrees

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Computer Science

Uwe Aickelin's Degrees

PhD Computer Science University of Nottingham
Masters Artificial Intelligence University of Nottingham
Bachelors Computer Science University of Nottingham

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Uwe Aickelin's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Parallel Problem Solving from Nature - PPSN VIII (2004) (1088)
Immune system approaches to intrusion detection – a review (2004) (483)
An Indirect Genetic Algorithm for a Nurse Scheduling Problem (2004) (390)
Danger Theory: The Link between AIS and IDS? (2003) (356)
Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomoly Detection (2005) (317)
The Danger Theory and Its Application to Artificial Immune Systems (2008) (264)
Artificial Immune Systems (2009) (222)
Exploiting Problem Structure in a Genetic Algorithm Approach to a Nurse Rostering Problem (2000) (216)
Handbook of metaheuristics (International series in operations research and management science) (2005) (186)
The Deterministic Dendritic Cell Algorithm (2008) (136)
Information fusion for anomaly detection with the dendritic cell algorithm (2010) (134)
Improved active anticorrosion coatings using layer-by-layer assembled ZnO nanocontainers with benzotriazole (2012) (132)
A New Graphical Password Scheme Resistant to Shoulder-Surfing (2010) (129)
Tailored RF pulse for magnetization inversion at ultrahigh field (2010) (129)
Articulation and Clarification of the Dendritic Cell Algorithm (2006) (126)
Building Better Nurse Scheduling Algorithms (2004) (126)
Modelling Electricity Consumption in Office Buildings: An Agent Based Approach (2011) (120)
Dendritic Cells for Anomaly Detection (2006) (105)
The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling (2004) (103)
An estimation of distribution algorithm with intelligent local search for rule-based nurse rostering (2007) (92)
An indirect genetic algorithm for set covering problems (2002) (91)
An estimation of distribution algorithm for nurse scheduling (2007) (86)
Supervised Anomaly Detection in Uncertain Pseudoperiodic Data Streams (2016) (82)
Introduction to Multi-Agent Simulation (2008) (82)
Idiotypic Immune Networks in Mobile-Robot Control (2007) (77)
A recommender system based on the immune network (2002) (76)
Privileged information for data clustering (2012) (74)
Dendritic cells for SYN scan detection (2007) (73)
Towards a Conceptual Framework for Innate Immunity (2005) (73)
The Application of a Dendritic Cell Algorithm to a Robotic Classifier (2007) (71)
DCA for bot detection (2008) (69)
A Three-Dimensional Model of Residential Energy Consumer Archetypes for Local Energy Policy Design in the UK (2012) (68)
Sensing Danger: Innate Immunology for Intrusion Detection (2007) (67)
libtissue - implementing innate immunity (2006) (63)
Detecting Danger: The Dendritic Cell Algorithm (2010) (59)
Comparing Stochastic Differential Equations and Agent-Based Modelling and Simulation for Early-Stage Cancer (2014) (59)
An Audio CAPTCHA to Distinguish Humans from Computers (2010) (58)
An Evolutionary Squeaky Wheel Optimization Approach to Personnel Scheduling (2009) (57)
Against Spyware Using CAPTCHA in Graphical Password Scheme (2010) (56)
Cooperative Automated Worm Response and Detection ImmuNe ALgorithm(CARDINAL) Inspired by T-Cell Immunity and Tolerance (2005) (55)
Further Exploration of the Dendritic Cell Algorithm: Antigen Multiplier and Time Windows (2008) (54)
The DCA: SOMe comparison (2008) (42)
Information fusion in the immune system (2010) (42)
Data classification using the Dempster–Shafer method (2014) (40)
A Bayesian optimization algorithm for the nurse scheduling problem (2003) (39)
Wavelet Feature Extraction and Genetic Algorithm for Biomarker Detection in Colorectal Cancer Data (2013) (38)
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 (2021) (38)
A Recommender System based on Idiotypic Artificial Immune Networks (2005) (37)
Based on T-spherical fuzzy environment: A combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients (2021) (36)
Theoretical Formulation and Analysis of the Deterministic Dendritic Cell Algorithm (2013) (35)
Detecting Bots Based on Keylogging Activities (2008) (34)
Anomaly Detection Using the Dempster-Shafer Method (2006) (34)
Novel dynamic fuzzy Decision-Making framework for COVID-19 vaccine dose recipients (2021) (34)
The DCA:SOMe Comparison A comparative study between two biologically-inspired algorithms (2010) (32)
A First Approach on Modelling Staff Proactiveness in Retail Simulation Models (2011) (32)
Malicious Code Execution Detection and Response Immune System inspired by the Danger Theory (2010) (32)
The Dendritic Cell Algorithm for Intrusion Detection (2013) (32)
Enhancing productivity: The role of management practices (2008) (31)
A Multi-Agent Simulation of Retail Management Practices (2007) (31)
Artificial Dendritic Cells: Multi-Faceted Perspectives (2009) (30)
Comparing Simulation Output Accuracy of Discrete Event and Agent Based Models: A Quantitive Approach (2009) (29)
Detecting Danger: Applying a Novel Immunological Concept to Intrusion Detection Systems (2010) (28)
Integrating real-time analysis with the dendritic cell algorithm through segmentation (2009) (28)
Using intelligent agents to understand management practices and retail productivity (2007) (28)
Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature (2021) (27)
Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective (2013) (27)
PCA 4 DCA: The Application Of Principal Component Analysis To The Dendritic Cell Algorithm (2010) (27)
Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy (2021) (26)
Extending similarity measures of interval type-2 fuzzy sets to general type-2 fuzzy sets (2013) (26)
An Artificial Immune System as a Recommender for Web Sites (2002) (26)
The motif tracking algorithm (2008) (26)
Simulating User Learning in Authoritative Technology Adoption: An Agent Based Model for Council-Led Smart Meter Deployment Planning in the UK (2016) (25)
The Application of a Data Mining Framework to Energy Usage Profiling in Domestic Residences Using UK Data (2011) (25)
Simulation Optimization of the Crossdock Door Assignment Problem (2008) (25)
Rule generalisation in intrusion detection systems using SNORT (2008) (24)
A Review on Human–AI Interaction in Machine Learning and Insights for Medical Applications (2021) (24)
Detecting Anomalous Process Behaviour Using Second Generation Artificial Immune Systems (2010) (24)
Modelling cyber-security experts' decision making processes using aggregation operators (2016) (23)
Biological Inspiration for Artificial Immune Systems (2007) (23)
An Idiotypic Immune Network as a Short-Term Learning Architecture for Mobile Robots (2008) (22)
An Approach for Assessing Clustering of Households by Electricity Usage (2012) (22)
Comparing System Dynamics and Agent-Based Simulation for Tumour Growth and its Interactions with Effector Cells (2011) (22)
Comparison of algorithms that detect drug side effects using electronic healthcare databases (2013) (22)
Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the Same Time Each Day? (2014) (21)
Novel similarity measure for interval-valued data based on overlapping ratio (2017) (21)
Artificial Immune Systems Tutorial (2008) (20)
An Artificial Immune System as a Recommender System for Web Sites (2008) (20)
Movie Recommendation Systems Using an Artificial Immune System (2004) (20)
CRNN: A Joint Neural Network for Redundancy Detection (2016) (20)
Detecting Botnets Through Log Correlation (2010) (20)
A hybrid genetic algorithm to solve a lot-sizing and scheduling problem (2002) (20)
An Immune Inspired Approach to Anomaly Detection (2009) (19)
Behavioural Correlation for Detecting P2P Bots (2010) (19)
Greensmith, Julie and Aickelin, Uwe and Cayzer, Steve (2005) 'Introducing Dendritic Cells as a Novel Immune- Inspired Algorithm for Anomaly Detection'. In: ICARIS- (2016) (19)
Information-theoretic analysis for transfer learning (2020) (18)
Improved Squeaky Wheel Optimisation for Driver Scheduling (2006) (18)
Towards the development of a simulator for investigating the impact of people management practices on retail performance (2010) (18)
Investigating immune system aging: system dynamics and agent-based modeling (2010) (18)
Regular Expression Based Medical Text Classification Using Constructive Heuristic Approach (2019) (18)
Measuring the directional distance between fuzzy sets (2013) (17)
Finding the Creatures of Habit; Clustering Households Based on Their Flexibility in Using Electricity (2012) (17)
A New Genetic Algorithm for Set Covering Problems (2000) (17)
Simulating Customer Experience and Word-Of-Mouth in Retail — A Case Study (2010) (17)
Dempster-Shafer for Anomaly Detection (2008) (17)
Application of a Clustering Framework to UK Domestic Electricity Data (2011) (16)
Towards a More Systematic Approach to Secure Systems Design and Analysis (2013) (16)
Based on neutrosophic fuzzy environment: a new development of FWZIC and FDOSM for benchmarking smart e-tourism applications (2022) (16)
Refining Adverse Drug Reactions Using Association Rule Mining for Electronic Healthcare Data (2014) (16)
A Supervised Adverse Drug Reaction Signalling Framework Imitating Bradford Hill's Causality Considerations (2015) (16)
A hybrid medical text classification framework: Integrating attentive rule construction and neural network (2021) (16)
BOA for Nurse Scheduling (2006) (16)
Artificial Immune Systems (AIS) - A New Paradigm for Heuristic Decision Making (2008) (15)
THCluster: Herb supplements categorization for precision traditional Chinese medicine (2017) (15)
Real-Time Alert Correlation with Type Graphs (2008) (15)
A Component-Based Heuristic Search Method with Evolutionary Eliminations for Hospital Personnel Scheduling (2009) (15)
Dendritic Cells for Real-Time Anomaly Detection (2010) (15)
Price Trackers Inspired by Immune Memory (2006) (15)
Quiet in Class: Classification, Noise and the Dendritic Cell Algorithm (2011) (14)
Cheating for problem solving: a genetic algorithm with social interactions (2009) (14)
Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot (2010) (13)
Uncertainty measures for probabilistic hesitant fuzzy sets in multiple criteria decision making (2020) (13)
Modelling and Simulating Retail Management Practices: A First Approach (2009) (13)
A hybrid mathematical modelling approach for energy generation from hazardous waste during the COVID-19 pandemic (2021) (13)
A hybrid mathematical modelling approach for energy generation from hazardous waste during the COVID-19 pandemic (2021) (13)
Heuristic optimisation (2011) (13)
Multicriteria group decision-making under uncertainty using interval data and cloud models (2020) (13)
Data Reduction in Intrusion Alert Correlation (2006) (12)
Shape and size optimization of truss structures by Chaos game optimization considering frequency constraints (2022) (12)
Modelling Office Energy Consumption: An Agent Based Approach (2010) (12)
Discovering sequential patterns in a UK general practice database (2012) (12)
Systems Dynamics or Agent-Based Modelling for Immune Simulation? (2011) (12)
A Data Mining Framework to Model Consumer Indebtedness with Psychological Factors (2014) (12)
Synthesis and characterization of pH‐sensitive poly(acrylamide‐ co ‐methylenebisacrylamide‐ co ‐acrylic acid) hydrogel microspheres containing silica nanoparticles: Application in enhanced oil recovery processes (2020) (12)
Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters (2013) (11)
The Role of Management Practices in Closing the Productivity Gap (2008) (11)
On Affinity Measures for Artificial Immune System Movie Recommenders (2004) (11)
A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery (2014) (11)
Analysing fuzzy sets through combining measures of similarity and distance (2014) (11)
Genetic-algorithm Seeding of Idiotypic Networks for Mobile-robot Navigation (2008) (11)
Motif detection inspired by immune memory (2007) (11)
Refining Adverse Drug Reaction Signals by Incorporating Interaction Variables Identified Using Emergent Pattern Mining (2015) (11)
Signalling Paediatric Side Effects using an Ensemble of Simple Study Designs (2014) (10)
On the Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems (2008) (10)
Genetic Algorithms for Multiple-Choice Optimisation Problems (2009) (10)
Imputation techniques on missing values in breast cancer treatment and fertility data (2019) (10)
A comparison of non-stationary, type-2 and dual surface fuzzy control (2011) (10)
Validation of a microsimulation of the Port of Dover (2013) (10)
Integrating Innate and Adaptive Immunity for Intrusion Detection (2006) (10)
Self-Organising Maps in Computer Security (2016) (10)
Artificial Immune Systems (2010) (2010) (10)
An Agent Based Classification Model (2009) (10)
Modelling Reactive and Proactive Behaviour in Simulation (2010) (10)
Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem (2002) (9)
Modelling Reactive and Proactive Behaviour in Simulation: A Case Study in a University Organisation (2013) (9)
Exploration of the Dendritic Cell Algorithm Using the Duration Calculus (2009) (9)
Partnering Strategies for Fitness Evaluation in a Pyramidal Evolutionary Algorithm (2002) (9)
Variance In System Dynamics And Agent Based Modelling Using The SIR Model Of Infectious Disease (2013) (9)
Constructing classifiers for imbalanced data using diversity optimisation (2021) (9)
Juxtaposition of System Dynamics and Agent-Based Simulation for a Case Study in Immunosenescence (2015) (8)
An investigation into the relationship between type-2 FOU size and environmental uncertainty in robotic control (2012) (8)
Real-world transfer of evolved artificial immune system behaviours between small and large scale robotic platforms (2009) (8)
Comparing data-mining algorithms developed for longitudinal observational databases (2012) (8)
Predictors of Return to Work for Occupational Rehabilitation Users in Work-Related Injury Insurance Claims: Insights from Mental Health (2019) (8)
A Bayesian Optimization Algorithm for Nurse Scheduling (2006) (8)
Exploring differences in interpretation of words essential in medical expert-patient communication (2016) (8)
Detecting Motifs in System Call Sequences (2007) (8)
Parcellation of fMRI Datasets with ICA and PLS-A Data Driven Approach (2009) (8)
Comparison of Distance metrics for hierarchical data in medical databases (2014) (8)
An Immune Inspired Network Intrusion Detection System Utilising Correlation Context (2009) (7)
Measuring agreement on linguistic expressions in medical treatment scenarios (2020) (7)
Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments (2008) (7)
Scenario Analysis, Decision Trees and Simulation for Cost Benefit Analysis of the Cargo Screening Process (2010) (7)
Genetic Algorithms for Multiple-Choice Problems (1999) (7)
Bayesian Optimisation Algorithm for Nurse Scheduling, Scalable Optimization via Probabilistic Modeling (2006) (7)
Special issue on artificial immune systems (2008) (6)
A Comprehensive Survey on Imputation of Missing Data in Internet of Things (2022) (6)
A Hybrid Pricing and Cutting Approach for the Multi-Shift Full Truckload Vehicle Routing Problem (2020) (6)
Investigating the Effectiveness of Variance Reduction Techniques in Manufacturing, Call Center and Cross-Docking Discrete Event Simulation Models (2012) (6)
Performance Evaluation of DCA and SRC on a Single Bot Detection (2009) (6)
Multi-objective semi-supervised clustering to identify health service patterns for injured patients (2019) (6)
Using simulation to incorporate dynamic criteria into multiple criteria decision-making (2018) (6)
Health Information Science (2015) (5)
The Transfer of Evolved Artificial Immune System Behaviours between Small and Large Scale Robotic Platforms (2010) (5)
An Agent-Based Simulation of In-Store Customer Experience (2008) (5)
Understanding Retail Productivity by Simulating Management Practises (2007) (5)
On the Application of Hierarchical Coevolutionary Genetic Algorithms (2003) (5)
No . NOTTCS-TR-2005-1 Firewalls , Intrusion Detection Systems and Anti-Virus Scanners (2004) (5)
Strategic Alert Throttling for Intrusion Detection Systems (2008) (5)
Augmented Neural Networks for modelling consumer indebtness (2014) (5)
Attributes for causal inference in electronic healthcare databases (2013) (5)
Machine learning with incomplete datasets using multi-objective optimization models (2020) (5)
An Agent-Based Simulation of In-Store Customer Experiences (2008) (5)
Multi-Agent Simulation and Management Practices (2008) (5)
Similarity measure for aggregated fuzzy numbers from interval-valued data (2020) (5)
Feature Selection in Detection of Adverse Drug Reactions from the Health Improvement Network (THIN) Database (2014) (5)
An Improved System for Sentence-level Novelty Detection in Textual Streams (2015) (4)
Special issue on artificial immune systems: editorial (2008) (4)
Modelling Immunological Memory (2010) (4)
On the Importance of Diversity in Re-Sampling for Imbalanced Data and Rare Events in Mortality Risk Models (2020) (4)
Bayesian Optimisation for Nurse Scheduling (2004) (4)
Data-Driven Regular Expressions Evolution for Medical Text Classification Using Genetic Programming (2020) (4)
The effect of baroque music on the PassPoints graphical password (2010) (4)
An Investigation of Sequential Sampling Method for Crossdocking Simulation Output Variance Reduction (2008) (4)
An Information-Theoretic Analysis for Transfer Learning: Error Bounds and Applications (2022) (4)
Detect adverse drug reactions for drug Pioglitazone (2012) (4)
Biomarker clustering of colorectal cancer data to complement clinical classification (2013) (4)
Nurse Rostering with Genetic Algorithms (1998) (4)
Using Clustering to Extract Personality Information from Socio Economic Data (2012) (3)
Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective (2013) (3)
Identifying Candidate Risk Factors for Prescription Drug Side Effects Using Causal Contrast Set Mining (2015) (3)
A fuzzy directional distance measure (2014) (3)
Investigating the Detection of Adverse Drug Events in a UK General Practice Electronic Health-Care Database (2013) (3)
Comparing Decision Support Tools for Cargo Screening Processes (2011) (3)
Personalising Mobile Advertising Based on Users' Installed Apps (2014) (3)
Detect adverse drug reactions for the drug Pravastatin (2012) (3)
Human Behaviour Modelling for Discrete Event and Agent Based Simulation: A Case Study (2007) (3)
Investigating a Hybrid Metaheuristic for Job Shop Rescheduling (2007) (3)
Artificial Immune Systems (INTROS 2) (2013) (3)
Ensemble learning of colorectal cancer survival rates (2013) (3)
Simulating the Dynamics of T Cell Subsets throughout the Lifetime (2011) (3)
Engineering Blockchain-based Software Systems: Foundations, Survey, and Future Directions (2021) (3)
Software Engineering for Blockchain Based Software Systems: Foundations, Survey, and Future Directions (2021) (3)
Health Informatics—Ambitions and Purpose (2019) (3)
A Beginners Guide to Systems Simulation in Immunology (2012) (3)
Adaptive Alert Throttling for Intrusion Detection Systems (2013) (3)
An innovative method for the chemical modification of Carpinus betulus wood: a methodology and approach study (2019) (3)
Early Identification of Undesirable Outcomes for Transport Accident Injured Patients Using Semi-Supervised Clustering. (2019) (3)
Teaching Key Machine Learning Principles Using Anti-learning Datasets (2018) (2)
Artificial Immune Tissue using Self-Orgamizing Networks (2009) (2)
Development of a Cargo Screening Process Simulator: A First Approach (2010) (2)
Fast Rate Generalization Error Bounds: Variations on a Theme (2022) (2)
Modelling Electrical Car Diffusion Based on Agents (2012) (2)
Tailored RF pulse optimization for magnetization inversion at ultra high field (2010) (2)
A Robust Mathematical Model for Blood Supply Chain Network using Game Theory (2021) (2)
Experimenting with Innate Immunity (2010) (2)
Indebted Households Profiling: A Knowledge Discovery from Database Approach (2015) (2)
Evaluating Different Cost-Benefit Analysis Methods for Port Security Operations (2012) (2)
Can Background Baroque Music Help to Improve the Memorability of Graphical Passwords? (2010) (2)
Biomarker CD46 Detection in Colorectal Cancer Data based on Wavelet Feature Extraction and Genetic Algorithm (2013) (2)
Multi-objective Semi-supervised Clustering for Finding Predictive Clusters (2022) (2)
Incorporating Spontaneous Reporting System Data to Aid Causal Inference in Longitudinal Healthcare Data (2014) (2)
Investigating Output Accuracy for a Discrete Event Simulation Model and an Agent Based Simulation Model (2009) (2)
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge (2021) (2)
Bayesian Optimisation Algorithm for Nurse Scheduling (2008) (2)
Modelling the Effects of User Learning on Forced Innovation Diffusion (2012) (2)
Using Intelligent Agents to Understand Management Practices and Retail (2007) (2)
Oil Price Trackers Inspired by Immune Memory (2006) (2)
KINETIC STUDY OF THE REACTION OF 2,2'-BIPYRIDYL CHROMIUM PEROXIDE WITH ALCOHOLS (2000) (2)
An interval-based aggregation approach based on Bagging and Interval Agreement Approach in ensemble learning (2020) (2)
Optimising Rule-Based Classification in Temporal Data (2016) (2)
Defining a Simulation Strategy for Cancer Immunocompetence (2013) (2)
Guest Editorial: Special issue on “Artificial Intelligence in Health Informatics” (2021) (1)
System Dynamics Modelling of the Processes Involving the Maintenance of the Naive T Cell Repertoire (2010) (1)
Comparison of algorithms that detect drug side effects using electronic healthcare databases (2013) (1)
An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates (2015) (1)
Modelling and Analysing Human Behaviour in a Department Store Using Discrete Event and Agent Based Simulation (2020) (1)
Artificial Immune System and Intrusion Detection Tutorial (2003) (1)
Higher order hesitant fuzzy Choquet integral operator and its application to multiple criteria decision making (2020) (1)
Creating Personalised Energy Plans: From Groups to Individuals Using Fuzzy C Means Clustering (2011) (1)
Siebers INTRODUCTION TO MULTI-AGENT SIMULATION (2007) (1)
Applying Interval Type-2 Fuzzy Rule Based Classifiers Through a Cluster-Based Class Representation (2015) (1)
A New Paradigm for Heuristic Decision Making, Invited Keynote Talk (2004) (1)
A cooperative robust human resource allocation problem for healthcare systems for disaster management (2022) (1)
Chapter X An Immune-Inspired Approach to Anomaly Detection (2008) (1)
Draw a line on your PDA to authenticate (2013) (1)
Optimisation of a Crossdocking Distribution Centre Simulation Model (2008) (1)
The Oxford Dictionary of Statistical Terms (2004) (1)
Interval type-2 fuzzy logic based robotic sailing (2013) (1)
Fuzzy C-means-based scenario bundling for stochastic service network design (2017) (1)
A Pyramidal Evolutionary Algorithm with Different Inter-Agent Partnering Strategies for Scheduling Problems (2001) (1)
Tuning a multiple classifier system for side effect discovery using genetic algorithms (2014) (1)
Synthetic Over-sampling with the Minority and Majority classes for imbalance problems (2020) (1)
Detect Adverse Drug Reactions for Drug Simvastatin (2012) (1)
A Hybrid Genetic Algorithm to Solve a Logt-Sizing and Scheduling Problem (2002) (1)
A Component Based Heuristic Search Method with Adaptive Perturbations for Hospital Personnel Scheduling (2006) (1)
Staggemeier A, Clark A and Aickelin U (2002): "A hybrid genetic algorithm to solve a lot-sizing and scheduling problem ", in Sixteenth triennial conference of the International Federation of Operational Research Societies , Edinburgh, UK, 2002. (2002) (1)
Integrating Innate and Adaptive Immunity in Intrusion Detection (2006) (1)
STORM - A Novel Information Fusion and Cluster Interpretation Technique (2009) (1)
Memory Implementations - Current Alternatives (2013) (1)
Gu, Feng and Greensmith, Julie and Oates, Robert and Aickelin, Uwe (2009) PCA 4 DCA: the application of principal component analysis to the Dendritic Cell Algorithm. In: 9th Annual Workshop on Computational Intelligence (2016) (1)
Siebers, Peer-Olaf and Aickelin, Uwe (2007) Introduction to Multi-Agent Simulation. In: Encyclopedia of Decision Making and Decision Support Technologies. IDEAS (2016) (1)
Energy valley optimizer: a novel metaheuristic algorithm for global and engineering optimization (2023) (1)
Health Informatics - Ambitions and Purpose (2019) (1)
Collaborative Human-ML Decision Making Using Experts' Privileged Information Under Uncertainty (2021) (1)
ToLeRating UR-STD (2008) (1)
Introduction to Multi-Agent Simulation for Analysts and Decision Makers (2007) (1)
Health Information Science (2017) (1)
Run or Pat: Using Deep Learning to Classify the Species Type and Emotion of Pets (2021) (1)
The use of Agent-based Simulation to Discover Extreme Cases in Immune-Interactions with Early-Stage (2013) (1)
Noise Reduction Technique for a Simulation Optimisation Study (2007) (1)
1 Using Multi-Agent Simulation to Understand the Impact of Management Practices on Retail Performance (2007) (1)
Extending a Microsimulation of the Port of Dover (2013) (1)
Imputation techniques on missing values in breast cancer treatment and fertility data (2019) (1)
Motif Detection Inspired by Immune Memory (JORS) (2013) (1)
Multi-fidelity Gaussian Process for Biomanufacturing Process Modeling with Small Data (2022) (1)
Founding Editor-in-Chief (2004) (1)
Examining the Classification Accuracy of TSVMs with ?Feature Selection in Comparison with the GLAD Algorithm (2013) (1)
What can biology really offer computer security ? (2006) (1)
A Method for Evaluating Options for Motif Detection in Electricity Meter Data (2020) (1)
Detect Adverse Drug Reactions for Drug Atorvastatin (2012) (1)
An Artificial Immune System Based Recommender (2002) (1)
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms (2021) (1)
Primary Care Datasets for Early Lung Cancer Detection: An AI Led Approach (2021) (1)
Handling uncertainty using features from pathology: opportunities in primary care data for developing high risk cancer survival methods (2020) (0)
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis (2022) (0)
Book Selection (2006) (0)
On the Role of the AIS Practitioner (2013) (0)
Figueredo, Grazziela P. and Siebers, Peer-Olaf and Aickelin, Uwe (2013) Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling (2016) (0)
Book Selection (2005) (0)
An investigation into the relationship between type-2 FOU size and environmental uncertainty in robotic control. In: 2012 IEEE International Conference Fuzzy Systems 10-15 (2017) (0)
Whitbrook, Amanda and Aickelin, Uwe and Garibaldi, Jonathan M. (2010) Two-timescale learning using idiotypic behaviour mediation for a navigating mobile (2016) (0)
Explicit Learning: An Effort Towards Human Scheduling Algorithms (2003) (0)
A scoping review of supervised learning modelling and data-driven optimisation in monoclonal antibody process development (2022) (0)
Understanding the Impact of Management Practices and Other Factors on Productivity in the UK Retail Sector (2007) (0)
Roadknight, Chris and Aickelin, Uwe and Qiu, Guoping and Scholefield, John and Durrant, Lindy (2012) Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology (2017) (0)
Expert–Machine Collaborative Decision Making: We Need Healthy Competition (2022) (0)
odelling electricity consumption in office buildings : An agent based approach (2011) (0)
B1 Insensitive Genetically Adjusted Refocusing (2010) (0)
Book Selection (2006) (0)
Book Selection (2006) (0)
Guest Editorial: Special issue on “Artificial Intelligence in Health Informatics” (2021) (0)
Book Selection (2005) (0)
Figueredo, Grazziela and Aickelin, Uwe and Siebers, Peer-Olaf (2011) Systems dynamics or agent-based modelling for immune simulation? In: Artificial immune systems: 10th international conference, ICARIS (2016) (0)
Measuring Player's Behaviour Change over Time in Public Goods Game (2016) (0)
Performance measurement under increasing environmental uncertainty in the context of interval type-2 fuzzy logic based robotic sailing. In: IEEE International Systems (2017) (0)
Reps, Jenna and Feyereisl, Jan and Garibaldi, Jonathan M. and Aickelin, Uwe and Gibson, Jack E. and Hubbard, Richard B. (2011) Investigating the detection of adverse drug events in a UK general practice electronic health- care database. In: UKCI (2016) (0)
Book Selection (2005) (0)
Lahoz-Beltra, Rafael and Ochoa, Gabriela and Aickelin, Uwe (2009) Cheating for problem solving: a genetic algorithm with social interactions. In: GECCO '09: Proceedings of the Genetic and Evolutionary Computation Conference, 8-12 July 2009, Montreal, Canada (2017) (0)
Towards modelling cost and risks of infrequent events in the cargo screening process (2013) (0)
Using Intelligent Agents to Understand Organisational Behaviour (2007) (0)
Greensmith, Julie and Aickelin, Uwe and Cayzer, Steve (2008) Detecting danger: the Dendritic Cell Algorithm. In: Robust intelligent systems. Springer Publishing (2017) (0)
BOA for Nurse Scheduling Optimisation Algorithm for Scheduling', Scalable Optimization via (2007) (0)
Detect Adverse drug reactions for drug Aspirin (2012) (0)
Siebers, Peer-Olaf and Aickelin, Uwe and Celia, Helen and Clegg, Christopher (2007) Multi-Agent Simulation and Management Practices. In: Encyclopedia of Decision Making and Decision Support Technologies. IDEAS Group. (In Press) (2016) (0)
The Use of Probabilistic Systems to Mimic the Behaviour of Idiotypic AIS Robot Controllers (2010) (0)
Vaccines Summit 2020 (2020) (0)
Industrial process optimisation: Decision support under high uncertainty using inferred objective function candidates (2022) (0)
Measuring Behavioural Change of Players in Public Goods Game (2016) (0)
Figueredo, Grazziela P. and Siebers, Peer-Olaf and Aickelin, Uwe and Whitbrook, Amanda and Garibaldi, Jonathan M. (2015) Juxtaposition of system dynamics and agent-based simulation for a case study (2018) (0)
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing (2023) (0)
Celia H, Clegg C, Robinson MA, Siebers PO, Aickelin U and Sprigg C (2007): 'Using Intelligent Agents to understand organisational behaviour', Proceedings of the British Psychology Society Annual Conference, (2007) (0)
A Synthetic Over-sampling method with Minority and Majority classes for imbalance problems (2020) (0)
Dent, Ian and Craig, Tony and Aickelin, Uwe and Rodden, Tom (2012) Finding the creatures of habit: clustering households based on their flexibility in using electricity. In: Digital Futures 2012: the Third Annual (2017) (0)
Tailored Shaping and Time Resampling Functions for Inversion Pulses at 7T (2009) (0)
Proceedings of the Operational Research Society Simulation Workshop 2010 (SW10)’ MODELLING REACTIVE AND PROACTIVE BEHAVIOUR IN SIMULATION (2010) (0)
Reps, Jenna M. and Garibaldi, Jonathan M. and Aickelin, Uwe and Gibson, Jack E. and Hubbard, Richard B. (2015) A supervised adverse drug reaction signalling framework imitating Bradford Hill’s causality considerations. Journal of Biomedical Informatics, 56 . (2017) (0)
(2015) Indebted households profiling: a knowledge discovery from database approach. Annals of Data (2016) (0)
Multi-objective semi-supervised clustering to identify health service patterns for injured patients (2019) (0)
The use of Agent-based Simulation to Discover Extreme Cases in Immune-Interactions with Early-Stage Cancer Scenarios (2013) (0)
Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework (2015) (0)
Cluster-based Diversity Over-sampling: A Density and Diversity Oriented Synthetic Over-sampling for Imbalanced Data (2022) (0)
Aickelin, Uwe and Cayzer, Steve (2002) The Danger Theory and Its Application to Artificial Immune Systems. In: 1st International Conference on Artificial Immune Systems (ICARIS - 2002), 2002, Canterbury. (2016) (0)
Scenario analysis, decision trees and simulation for cargo screening (2010) (0)
Siebers, Peer-Olaf and Sherman, Galina and Aickelin, Uwe and Menachof, David (2011) Comparing decision support tools for cargo screening processes. In: 10th International Conference on Modeling and Applied Simulation, 12-14 September 2011, Rome, Italy. (2016) (0)
Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values (2020) (0)
Liu, Yihui and Aickelin, Uwe and Feyereisl, Jan and Durrant, Lindy G (2013) Wavelet feature extraction and genetic algorithm for biomarker detection in colorectal cancer (2017) (0)
Erratum: Book Selection (2008) (0)
Cluster Interpretation of the Self-Organising Map (2009) (0)
Aickelin, Uwe (2004) Artificial immune systems (AIS) - a new paradigm for heuristic decision making. In: OR 46 (Operational (2017) (0)
A Pyramidal Genetic Algorithm for Multiple-Choice Problems (2001) (0)
Book Selection (2005) (0)
Retrieving and ranking short medical questions with two stages neural matching model (2019) (0)
Feyereisl, J and Aickelin, Uwe (2006) Artificial Immune Tissue using Self-Organizing Networks. In: Workshop on Artificial Immune Systems and Immune System Modelling, Bristol. (2016) (0)
Greensmith , Julie and Aickelin , Uwe and Twycross , Jamie ( 2004 ) Detecting Danger : Applying a Novel (2016) (0)
A new interval-based aggregation approach based on bagging and Interval Agreement Approach (IAA) in ensemble learning (2020) (0)
Methods of ranking for aggregated fuzzy numbers from interval-valued data (2020) (0)
Indebted Households Profiling: A Knowledge Discovery from Database Approach (2015) (0)
Book Selection (2006) (0)
Julie and Aickelin, Uwe (2006) Dendritic Cells for Real-Time Anomaly Detection. In: Proceedings of the Workshop on Artificial Immune Systems and Immune System Modelling (AISB 2006), Bristol, UK. (2016) (0)
Early Detection and Classification of Patient-Ventilator Asynchrony Using Machine Learning (2022) (0)
A fuzzy directional distance measure. In: 2014 IEEE International (2017) (0)
Detecting adverse drug reactions for the drug Simvastatin (2014) (0)
Conference Announcement on Immunology and Vaccines Summit 2020 Nov 02-03, 2020 | Dubai, United Arab Emirates (UAE) (2020) (0)
Book Selection (2006) (0)
(2011) Modelling electricity consumption in office buildings: an agent based approach. Energy and Buildings, 43 (10). (2017) (0)
Nanostructured titanium dioxide film preparation using inorganic nanoparticles instead of organic precursor materials. (2011) (0)
Aickelin , Uwe and Chen , Qi ( 2004 ) ' On Affinity Measures for Artificial Immune (2016) (0)
A hybrid projection method for resource-constrained project scheduling problem under uncertainty (2022) (0)
A survey on Optimisation-based Semi-supervised Clustering Methods (2021) (0)
Modelling and Analysing Cargo Screening Processes: A Project Outline (2013) (0)
An Immune Network Intrusion Detection System Utilising Correlation Context (2006) (0)
Book Selection (2005) (0)
Based on neutrosophic fuzzy environment: a new development of FWZIC and FDOSM for benchmarking smart e-tourism applications (2022) (0)
Dent, Ian and Aickelin, Uwe and Rodden, Tom (2011) The application of a data mining framework to energy usage profiling in domestic residences using UK data. In: Buildings Don't Use Energy, People Do: Research (2016) (0)
Detect Adverse Drug Reactions for Drug Alendronate (2012) (0)
Pharmaceutical process optimisation: Decision support under high uncertainty (2023) (0)
Learning Regular Expressions for Interpretable Medical Text Classification Using a Pool-based Simulated Annealing and Word-vector Models (2020) (0)
Boa for Nurse Scheduling Li J and Aickelin U (2006): 'bayesian Optimisation Algorithm for Nurse Scheduling', Scalable Optimization via Probabilistic Modeling: from Algorithms to Applications (studies in Computational Intelligence), Edited (2007) (0)
Energy Decision-Making for Cities (2012) (0)
Enhancing Constraint Programming via Supervised Learning for Job Shop Scheduling (2022) (0)
Reps, Jenna M. and Aickelin, Uwe (2015) Identifying candidate risk factors for prescription drug side effects using causal contrast set mining. In: Health Information (2017) (0)
AN INVESTIGATION OF THE SEQUENTIAL SAMPLING METHOD (2008) (0)
Helmi, Hala and Garibaldi, Jonathan M. and Aickelin, Uwe (2011) Examining the classification accuracy of TSVMs with feature selection in comparison with the GLAD algorithm. In: UKCI (2016) (0)
Vaccine 2020 Conference Awardson Immunology and Vaccines Summit 2020 Nov 02-03, 2020 | Dubai, United Arab Emirates (UAE) (2020) (0)
Robust Datamining (2017) (0)
Reducing variance in a crossdocking simulation model using common random numbers and antithetic variates (2008) (0)
PNS215 IMPROVING ACCURACY OF RECORD LINKAGE USING GRAPH STRUCTURES: RELEVANCE FOR HEALTH OUTCOMES RESEARCH? (2020) (0)
libtissue-a Software System for Incorporating Innate Immunity into Artificial Immune Systems (2006) (0)
Majid, Mazlina Abdul and Siebers, Peer-Olaf and Aickelin, Uwe Modelling reactive and proactive behaviour in simulation. In: Operational Research (2017) (0)
Spectrophotometric Determination of Acidity Constants of Some Anthraquinone Derivatives in Methanol-Water Mixtures (1999) (0)
Figueredo , Grazziela and Aickelin , Uwe (2016) (0)
Modelling Electrical Car Diffusion Based on Agent (2012) (0)
[Review of the book The Oxford Dictionary of Statistical Terms, edited by Y. Dodge] (2004) (0)
No . NOTTCS-TR-2005-4 Memory Implementations-Current Alternatives (2005) (0)
Corrigendum to “Novel dynamic fuzzy Decision-Making framework for COVID-19 vaccine dose recipients” [J. Adv. Res. 37 (2022) 147–168] (2023) (0)
Food Waste Management: A Case Study of the Employment of Artificial Intelligence for Sorting Technique (2021) (0)
Application of Zno-Fe 3 O 4 nano Composite on the Phosphate Removal from Aqueous Solutions : Optimization and Statistical Modeling HAMZEH (2017) (0)
Patient-Ventilator Asynchrony Detection via Similarity Search Methods (2022) (0)
Biological Optimisation for Nurse Scheduling (2010) (0)
Agent Based Simulation As a Novel Decision Support Tool for Retail Managers (2008) (0)
On the tightness of information-theoretic bounds on generalization error of learning algorithms (2023) (0)
Mimicking the Behaviour of Idiotypic AIS Robot Controllers Using Probabilistic Systems (2010) (0)
Aickelin , Uwe and Dasgupta , D ( 2005 ) ' Artificial Immune Systems Tutorial ' (2016) (0)
A decision modeling approach for smart e-tourism data management applications based on spherical fuzzy rough environment (2023) (0)
14 BOA for Nurse Scheduling (2006) (0)
Health information science : 4th International Conference, HIS 2015, Melbourne, Australia, May 28-30, 2015, Proceedings (2015) (0)
Reps, Jenna M. and Garibaldi, Jonathan M. and Aickelin, Uwe and Soria, Daniele and Gibson, Jack E. and Hubbard, Richard B. (2014) Signalling paediatric side effects using an ensemble of simple study (2017) (0)
Book Selection (2008) (0)
SMITH INSTITUTE FOR INDUSTRIAL MATHEMATICS AND SYSTEM ENGINEERING Proposal for a Smith Institute FARADAY Industrial CASE PhD Studentship at the University of Nottingham Title : Multi Sensor Data Fusion for Threat Analysis in Computer Security Supervisor : Dr (2005) (0)
AI Based Cancer Detection Models Using Primary Care Datasets (2022) (0)
Danger ! Computer Security meets Operational Research Dr (2007) (0)
Whitbrook , Amanda and Aickelin , Uwe and Garibaldi , Jon ( 2007 ) Idiotypic Immune Networks in Mobile Robot Control (2016) (0)
Attributes for Causal Inference in Longitudinal Observational Databases (2014) (0)
Running head : A Systematic Approach to Secure System Design 1 Towards a More Systematic Approach to Secure Systems Design and Analysis (2012) (0)
'Artificial Immune Systems: A new Decision Making Paradigm for Operational Research' (2004) (0)

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