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ORCIDUwe Aickelin
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- affiliation: University of Melbourne, School of Computing and Information Systems, Australia
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2020 – today
- 2021
[j50]Ning Xue
, Ruibin Bai, Rong Qu, Uwe Aickelin:
A hybrid pricing and cutting approach for the multi-shift full truckload vehicle routing problem. Eur. J. Oper. Res. 292(2): 500-514 (2021)- [j49]Xiang Li, Menglin Cui, Jingpeng Li, Ruibin Bai, Zheng Lu, Uwe Aickelin:
A hybrid medical text classification framework: Integrating attentive rule construction and neural network. Neurocomputing 443: 345-355 (2021) - [j48]Hadi Akbarzade Khorshidi, Uwe Aickelin:
Constructing classifiers for imbalanced data using diversity optimisation. Inf. Sci. 565: 1-16 (2021) - [c90]Goce Ristanoski, Jon Emery, Javiera Martinez-Gutierrez, Damien McCarthy, Uwe Aickelin:
Handling uncertainty using features from pathology: opportunities in primary care data for developing high risk cancer survival methods. ACSW 2021: 13:1-13:7 - [c89]Yuxuan Yang, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Aditi Nevgi, Elif Ekinci:
On the Importance of Diversity in Re-Sampling for Imbalanced Data and Rare Events in Mortality Risk Models. ACSW 2021: 14:1-14:8 - [c88]Goce Ristanoski, Jon Emery, Javiera Martinez-Gutierrez, Damien McCarthy, Uwe Aickelin:
Primary Care Datasets for Early Lung Cancer Detection: An AI Led Approach. AIME 2021: 83-92 - [i236]Mansoureh Maadi, Uwe Aickelin, Hadi Akbarzadeh Khorshidi:
A new interval-based aggregation approach based on bagging and Interval Agreement Approach (IAA) in ensemble learning. CoRR abs/2101.10267 (2021) - [i235]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. CoRR abs/2105.01445 (2021) - [i234]Mahdi Fahmideh, John Grundy, Aakash Ahmed, Jun Shen, Jun Yan, Davoud Mougouei, Peng Wang, Aditya Ghose, Anuradha Gunawardana, Uwe Aickelin, Babak Abedin:
Software Engineering for Blockchain Based Software Systems: Foundations, Survey, and Future Directions. CoRR abs/2105.01881 (2021) - 2020
- [j47]Bahram Farhadinia, Uwe Aickelin, Hadi Akbarzadeh Khorshidi:
Uncertainty measures for probabilistic hesitant fuzzy sets in multiple criteria decision making. Int. J. Intell. Syst. 35(11): 1646-1679 (2020) - [c87]Jiandong Liu, Ruibin Bai, Zheng Lu, Peiming Ge, Uwe Aickelin, Daoyun Liu:
Data-Driven Regular Expressions Evolution for Medical Text Classification Using Genetic Programming. CEC 2020: 1-8 - [c86]Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Methods of ranking for aggregated fuzzy numbers from interval-valued data. FUZZ-IEEE 2020: 1-7 - [c85]Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin:
Machine learning with incomplete datasets using multi-objective optimization models. IJCNN 2020: 1-8 - [c84]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Information-theoretic analysis for transfer learning. ISIT 2020: 2819-2824 - [c83]Mansoureh Maadi, Uwe Aickelin, Hadi Akbarzadeh Khorshidi:
An interval-based aggregation approach based on Bagging and Interval Agreement Approach in ensemble learning. SSCI 2020: 692-699 - [i233]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Information-theoretic analysis for transfer learning. CoRR abs/2005.08697 (2020) - [i232]Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Synthetic Over-sampling with the Minority and Majority classes for imbalance problems. CoRR abs/2011.04170 (2020) - [i231]Javier Navarro, Christian Wagner, Uwe Aickelin, Lynsey Green, Robert Ashford:
Measuring agreement on linguistic expressions in medical treatment scenarios. CoRR abs/2011.07693 (2020) - [i230]Bahram Farhadinia, Uwe Aickelin, Hadi Akbarzadeh Khorshidi:
Uncertainty measures for probabilistic hesitant fuzzy sets in multiple criteria decision making. CoRR abs/2011.08182 (2020) - [i229]Bahram Farhadinia, Uwe Aickelin, Hadi Akbarzadeh Khorshidi:
Higher order hesitant fuzzy Choquet integral operator and its application to multiple criteria decision making. CoRR abs/2011.08183 (2020) - [i228]Chaofan Tu, Ruibin Bai, Zheng Lu, Uwe Aickelin, Peiming Ge, Jianshuang Zhao:
Learning Regular Expressions for Interpretable Medical Text Classification Using a Pool-based Simulated Annealing and Word-vector Models. CoRR abs/2011.09351 (2020) - [i227]Xiaoping Jiang, Ruibin Bai, Dario Landa-Silva, Uwe Aickelin:
Fuzzy C-means-based scenario bundling for stochastic service network design. CoRR abs/2011.09890 (2020) - [i226]Uwe Aickelin, Jenna Marie Reps, Peer-Olaf Siebers, Peng Li:
Using simulation to incorporate dynamic criteria into multiple criteria decision-making. CoRR abs/2011.09891 (2020) - [i225]Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Gholamreza Haffari, Behrooz Hassani-Mahmooei:
Multi-objective semi-supervised clustering to identify health service patterns for injured patients. CoRR abs/2011.09911 (2020) - [i224]Xuetong Wu, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Zobaida Edib, Michelle Peate:
Imputation techniques on missing values in breast cancer treatment and fertility data. CoRR abs/2011.09912 (2020) - [i223]Chris M. Roadknight, Prapa Rattadilok, Uwe Aickelin:
Teaching Key Machine Learning Principles Using Anti-learning Datasets. CoRR abs/2011.10660 (2020) - [i222]Xiang Li, Xinyu Fu, Zheng Lu, Ruibin Bai, Uwe Aickelin, Peiming Ge, Gong Liu:
Retrieving and ranking short medical questions with two stages neural matching model. CoRR abs/2012.01254 (2020) - [i221]Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Multicriteria Group Decision-Making Under Uncertainty Using Interval Data and Cloud Models. CoRR abs/2012.01569 (2020) - [i220]Xuetong Wu, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Zobaida Edib, Michelle Peate:
Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values. CoRR abs/2012.01974 (2020) - [i219]Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Methods of ranking for aggregated fuzzy numbers from interval-valued data. CoRR abs/2012.02194 (2020) - [i218]Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Similarity measure for aggregated fuzzy numbers from interval-valued data. CoRR abs/2012.03721 (2020) - [i217]Ning Xue, Ruibin Bai, Rong Qu, Uwe Aickelin:
A Hybrid Pricing and Cutting Approach for the Multi-Shift Full Truckload Vehicle Routing Problem. CoRR abs/2012.06538 (2020) - [i216]Jiandong Liu, Ruibin Bai, Zheng Lu, Peiming Ge, Daoyun Liu, Uwe Aickelin:
Data-Driven Regular Expressions Evolution for Medical Text Classification Using Genetic Programming. CoRR abs/2012.07515 (2020) - [i215]Yuxuan Yang, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Aditi Nevgi, Elif Ekinci:
On the Importance of Diversity in Re-Sampling for Imbalanced Data and Rare Events in Mortality Risk Models. CoRR abs/2012.09645 (2020) - [i214]Goce Ristanoski, Jon Emery, Javiera Martinez-Gutierrez, Damien McCarthy, Uwe Aickelin:
Handling uncertainty using features from pathology: opportunities in primary care data for developing high risk cancer survival methods. CoRR abs/2012.09976 (2020) - [i213]Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin:
Machine learning with incomplete datasets using multi-objective optimization models. CoRR abs/2012.13352 (2020)
2010 – 2019
- 2019
- [j46]Menglin Cui, Ruibin Bai, Zheng Lu, Xiang Li, Uwe Aickelin, Peiming Ge:
Regular Expression Based Medical Text Classification Using Constructive Heuristic Approach. IEEE Access 7: 147892-147904 (2019) - [j45]Uwe Aickelin, Wendy W. Chapman, Graeme K. Hart:
Health Informatics - Ambitions and Purpose. Frontiers Digit. Health 1: 2 (2019) - [j44]Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Gholamreza Haffari, Behrooz Hassani-Mahmooei:
Multi-objective semi-supervised clustering to identify health service patterns for injured patients. Health Inf. Sci. Syst. 7(1): 18 (2019) - [j43]Xuetong Wu, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Zobaida Edib, Michelle Peate:
Imputation techniques on missing values in breast cancer treatment and fertility data. Health Inf. Sci. Syst. 7(1): 19 (2019) - [c82]Xiang Li, Xinyu Fu, Zheng Lu, Ruibin Bai, Uwe Aickelin, Peiming Ge, Gong Liu:
Retrieving and ranking short medical questions with two stages neural matching model. CEC 2019: 873-879 - 2018
- [j42]Uwe Aickelin, Jenna Marie Reps, Peer-Olaf Siebers, Peng Li:
Using simulation to incorporate dynamic criteria into multiple criteria decision-making. J. Oper. Res. Soc. 69(7): 1021-1032 (2018) - [c81]Chris M. Roadknight, Prapa Rattadilok, Uwe Aickelin:
Teaching Key Machine Learning Principles Using Anti-learning Datasets. TALE 2018: 960-964 - 2017
- [c80]Chunyang Ruan, Ye Wang, Yanchun Zhang, Jiangang Ma, Huijuan Chen, Uwe Aickelin, Shanfeng Zhu, Ting Zhang:
THCluster: Herb supplements categorization for precision traditional Chinese medicine. BIBM 2017: 417-424 - [c79]Shaily Kabir, Christian Wagner, Timothy C. Havens, Derek T. Anderson, Uwe Aickelin:
Novel similarity measure for interval-valued data based on overlapping ratio. FUZZ-IEEE 2017: 1-6 - [c78]Xinyu Fu, Eugene Ch'ng, Uwe Aickelin, Simon See:
CRNN: A Joint Neural Network for Redundancy Detection. SMARTCOMP 2017: 1-8 - [c77]Xiaoping Jiang, Ruibin Bai, Uwe Aickelin, Dario Landa-Silva:
Fuzzy C-means-based scenario bundling for stochastic service network design. SSCI 2017: 1-8 - [e3]Siuly Siuly, Zhisheng Huang, Uwe Aickelin, Rui Zhou, Hua Wang, Yanchun Zhang, Stanislav V. Klimenko:
Health Information Science - 6th International Conference, HIS 2017, Moscow, Russia, October 7-9, 2017, Proceedings. Lecture Notes in Computer Science 10594, Springer 2017, ISBN 978-3-319-69181-7 [contents] - [i212]Xinyu Fu, Eugene Ch'ng, Uwe Aickelin, Simon See:
CRNN: A Joint Neural Network for Redundancy Detection. CoRR abs/1706.01069 (2017) - 2016
- [j41]Jenna Marie Reps, Uwe Aickelin, Richard B. Hubbard:
Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining. Comput. Biol. Medicine 69: 61-70 (2016) - [j40]Simon Miller, Christian Wagner, Uwe Aickelin, Jonathan M. Garibaldi:
Modelling cyber-security experts' decision making processes using aggregation operators. Comput. Secur. 62: 229-245 (2016) - [j39]Jiangang Ma, Le Sun, Hua Wang, Yanchun Zhang, Uwe Aickelin:
Supervised Anomaly Detection in Uncertain Pseudoperiodic Data Streams. ACM Trans. Internet Techn. 16(1): 4:1-4:20 (2016) - [c76]Javier Navarro, Christian Wagner, Uwe Aickelin, Lynsey Green, Robert Ashford:
Exploring differences in interpretation of words essential in medical expert-patient communication. FUZZ-IEEE 2016: 2157-2164 - [c75]Javier Navarro, Christian Wagner, Uwe Aickelin, Lynsey Green, Robert Ashford:
Measuring agreement on linguistic expressions in medical treatment scenarios. SSCI 2016: 1-8 - [i211]Xinyu Fu, Eugene Ch'ng, Uwe Aickelin, Lanyun Zhang:
An Improved System for Sentence-level Novelty Detection in Textual Streams. CoRR abs/1605.00122 (2016) - [i210]Jenna Reps, Zhaoyang Guo, Haoyue Zhu, Uwe Aickelin:
Identifying Candidate Risk Factors for Prescription Drug Side Effects using Causal Contrast Set Mining. CoRR abs/1607.05845 (2016) - [i209]Rodrigo Scarpel, Alexandros Ladas, Uwe Aickelin:
Indebted households profiling: a knowledge discovery from database approach. CoRR abs/1607.05869 (2016) - [i208]Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin, Amanda M. Whitbrook, Jonathan M. Garibaldi:
Juxtaposition of System Dynamics and Agent-based Simulation for a Case Study in Immunosenescence. CoRR abs/1607.05888 (2016) - [i207]Grazziela P. Figueredo, Christian Wagner, Jonathan M. Garibaldi, Uwe Aickelin:
Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework. CoRR abs/1607.05895 (2016) - [i206]Jenna Marie Reps, Uwe Aickelin, Richard B. Hubbard:
Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining. CoRR abs/1607.05906 (2016) - [i205]Jiangang Ma, Le Sun, Hua Wang, Yanchun Zhang, Uwe Aickelin:
Supervised Anomaly Detection in Uncertain Pseudoperiodic Data Streams. CoRR abs/1607.05909 (2016) - [i204]Tao Zhang, Peer-Olaf Siebers, Uwe Aickelin:
Simulating user learning in authoritative technology adoption: An agent based model for council-led smart meter deployment planning in the UK. CoRR abs/1607.05912 (2016) - [i203]Polla Fattah, Uwe Aickelin, Christian Wagner:
Optimising Rule-Based Classification in Temporal Data. CoRR abs/1607.05913 (2016) - [i202]Javier Navarro, Christian Wagner, Uwe Aickelin:
Applying Interval Type-2 Fuzzy Rule Based Classifiers Through a Cluster-Based Class Representation. CoRR abs/1607.06186 (2016) - [i201]Javier Navarro, Christian Wagner, Uwe Aickelin, Lynsey Green, Robert Ashford:
Exploring Differences in Interpretation of Words Essential in Medical Expert-Patient Communication. CoRR abs/1607.06187 (2016) - [i200]Christopher M. Roadknight, Durga Suryanarayanan, Uwe Aickelin, John Scholefield, Lindy Durrant:
An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates. CoRR abs/1607.06190 (2016) - [i199]Jenna Marie Reps, Jonathan M. Garibaldi, Uwe Aickelin, Jack E. Gibson, Richard B. Hubbard:
Supervised Adverse Drug Reaction Signalling Framework Imitating Bradford Hill's Causality Considerations. CoRR abs/1607.06198 (2016) - [i198]Tao Zhang, Peer-Olaf Siebers, Uwe Aickelin:
Modelling Office Energy Consumption: An Agent Based Approach. CoRR abs/1607.06332 (2016) - [i197]Jan Feyereisl, Uwe Aickelin:
Self-Organising Maps in Computer Security. CoRR abs/1608.01668 (2016) - [i196]Simon Miller, Christian Wagner, Uwe Aickelin, Jonathan M. Garibaldi:
Modelling Cyber-Security Experts' Decision Making Processes using Aggregation Operators. CoRR abs/1608.08497 (2016) - [i195]Polla Fattah, Uwe Aickelin, Christian Wagner:
Measuring Player's Behaviour Change over Time in Public Goods Game. CoRR abs/1609.02672 (2016) - 2015
- [j38]Jenna Marie Reps, Jonathan M. Garibaldi, Uwe Aickelin, Jack E. Gibson, Richard B. Hubbard:
A supervised adverse drug reaction signalling framework imitating Bradford Hill's causality considerations. J. Biomed. Informatics 56: 356-368 (2015) - [c74]Christopher M. Roadknight, Durga Suryanarayanan, Uwe Aickelin, John Scholefield, Lindy Durrant:
An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates. DSAA 2015: 1-8 - [c73]Jenna Reps, Zhaoyang Guo, Haoyue Zhu, Uwe Aickelin:
Identifying Candidate Risk Factors for Prescription Drug Side Effects Using Causal Contrast Set Mining. HIS 2015: 45-55 - [c72]Javier Navarro, Christian Wagner, Uwe Aickelin:
Applying Interval Type-2 Fuzzy Rule Based Classifiers Through a Cluster-Based Class Representation. SSCI 2015: 1816-1823 - [c71]Grazziela P. Figueredo, Christian Wagner, Jonathan M. Garibaldi, Uwe Aickelin:
Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework. TrustCom/BigDataSE/ISPA (2) 2015: 128-135 - [e2]Xiao-Xia Yin, Kendall Ho, Daniel Zeng, Uwe Aickelin, Rui Zhou, Hua Wang:
Health Information Science - 4th International Conference, HIS 2015, Melbourne, Australia, May 28-30, 2015, Proceedings. Lecture Notes in Computer Science 9085, Springer 2015, ISBN 978-3-319-19155-3 [contents] - [i194]Alexandros Ladas, Eamonn Ferguson, Uwe Aickelin, Jon Garibaldi:
A Data Mining framework to model Consumer Indebtedness with Psychological Factors. CoRR abs/1502.05911 (2015) - [i193]Jenna Reps, Uwe Aickelin:
Incorporating Spontaneous Reporting System Data to Aid Causal Inference in Longitudinal Healthcare Data. CoRR abs/1502.05938 (2015) - [i192]Jenna Reps, Uwe Aickelin, Jiangang Ma, Yanchun Zhang:
Refining Adverse Drug Reactions using Association Rule Mining for Electronic Healthcare Data. CoRR abs/1502.05943 (2015) - [i191]Jenna Reps, Uwe Aickelin, Jonathan M. Garibaldi, Chris Damski:
Personalising Mobile Advertising Based on Users Installed Apps. CoRR abs/1503.00587 (2015) - 2014
- [j37]Qi Chen, Amanda M. Whitbrook, Uwe Aickelin, Chris M. Roadknight:
Data classification using the Dempster-Shafer method. J. Exp. Theor. Artif. Intell. 26(4): 493-517 (2014) - [j36]Jenna Marie Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery. IEEE J. Biomed. Health Informatics 18(2): 537-547 (2014) - [c70]Jenna Marie Reps, Uwe Aickelin, Jonathan M. Garibaldi:
Tuning a multiple classifier system for side effect discovery using genetic algorithms. IEEE Congress on Evolutionary Computation 2014: 910-917 - [c69]Josie C. McCulloch, Chris J. Hinde, Christian Wagner, Uwe Aickelin:
A fuzzy directional distance measure. FUZZ-IEEE 2014: 141-148 - [c68]Josie McCulloch, Christian Wagner, Uwe Aickelin:
Analysing fuzzy sets through combining measures of similarity and distance. FUZZ-IEEE 2014: 155-162 - [c67]Jenna Marie Reps, Uwe Aickelin:
Incorporating Spontaneous Reporting System Data to Aid Causal Inference in Longitudinal Healthcare Data. ICDM Workshops 2014: 119-126 - [c66]Jon Garibaldi, Eamonn Ferguson, Uwe Aickelin:
A Data Mining Framework to Model Consumer Indebtedness with Psychological Factors. ICDM Workshops 2014: 150-157 - [c65]Jenna Reps, Uwe Aickelin, Jonathan M. Garibaldi, Chris Damski:
Personalising Mobile Advertising Based on Users' Installed Apps. ICDM Workshops 2014: 338-345 - [c64]Jenna Marie Reps, Uwe Aickelin, Jiangang Ma, Yanchun Zhang:
Refining Adverse Drug Reactions Using Association Rule Mining for Electronic Healthcare Data. ICDM Workshops 2014: 763-770 - [c63]Alexandros Ladas, Jonathan M. Garibaldi, Rodrigo Scarpel, Uwe Aickelin:
Augmented Neural Networks for modelling consumer indebtness. IJCNN 2014: 3086-3093 - [c62]Diman Hassan, Uwe Aickelin, Christian Wagner:
Comparison of Distance metrics for hierarchical data in medical databases. IJCNN 2014: 3636-3643 - [c61]Ian Dent, Tony Craig, Uwe Aickelin, Tom Rodden:
Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the Same Time Each Day? ICDM 2014: 70-84 - [i190]Lei Yu, Tao Zhang, Peer-Olaf Siebers, Uwe Aickelin:
Modelling Electrical Car Diffusion Based on Agents. CoRR abs/1409.0657 (2014) - [i189]Yihui Liu, Uwe Aickelin:
Detect Adverse Drug Reactions for Drug Aspirin. CoRR abs/1409.0658 (2014) - [i188]Ian Dent, Tony Craig, Uwe Aickelin, Tom Rodden:
An Approach for Assessing Clustering of Households by Electricity Usage. CoRR abs/1409.0718 (2014) - [i187]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Comparison of algorithms that detect drug side effects using electronic healthcare databases. CoRR abs/1409.0748 (2014) - [i186]Grazziela P. Figueredo, Peer-Olaf Siebers, Markus R. Owen, Jenna Reps, Uwe Aickelin:
Comparing Stochastic Differential Equations and Agent-Based Modelling and Simulation for Early-stage Cancer. CoRR abs/1409.0758 (2014) - [i185]Qi Chen, Amanda M. Whitbrook, Uwe Aickelin, Chris M. Roadknight:
Data classification using the Dempster-Shafer method. CoRR abs/1409.0763 (2014) - [i184]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
A Novel Semi-Supervised Algorithm for Rare Prescription Side Effect Discovery. CoRR abs/1409.0768 (2014) - [i183]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Signalling Paediatric Side Effects using an Ensemble of Simple Study Designs. CoRR abs/1409.0772 (2014) - [i182]Yihui Liu, Uwe Aickelin:
Feature selection in detection of adverse drug reactions from the Health Improvement Network (THIN) database. CoRR abs/1409.0775 (2014) - [i181]Chris M. Roadknight, Uwe Aickelin, John Scholefield, Lindy Durrant:
Ensemble Learning of Colorectal Cancer Survival Rates. CoRR abs/1409.0788 (2014) - [i180]Ian Dent, Tony Craig, Uwe Aickelin, Tom Rodden:
Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the Same Time Each Day? CoRR abs/1409.1043 (2014) - [i179]Josie C. McCulloch, Chris J. Hinde, Christian Wagner, Uwe Aickelin:
A Fuzzy Directional Distance Measure. CoRR abs/1409.1045 (2014) - [i178]Josie McCulloch, Christian Wagner, Uwe Aickelin:
Analysing Fuzzy Sets Through Combining Measures of Similarity and Distance. CoRR abs/1409.1046 (2014) - [i177]Jenna Reps, Uwe Aickelin, Jonathan M. Garibaldi:
Tuning a Multiple Classifier System for Side Effect Discovery using Genetic Algorithms. CoRR abs/1409.1053 (2014) - [i176]Diman Hassan, Uwe Aickelin, Christian Wagner:
Comparison of Distance Metrics for Hierarchical Data in Medical Databases. CoRR abs/1409.1055 (2014) - [i175]Alexandros Ladas, Jonathan M. Garibaldi, Rodrigo Scarpel, Uwe Aickelin:
Augmented Neural Networks for Modelling Consumer Indebtness. CoRR abs/1409.1057 (2014) - [i174]Yihui Liu, Uwe Aickelin:
Detecting adverse drug reactions for the drug Simvastatin. CoRR abs/1409.1059 (2014) - [i173]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Attributes for Causal Inference in Longitudinal Observational Databases. CoRR abs/1409.5774 (2014) - 2013
- [j35]Feng Gu, Julie Greensmith, Uwe Aickelin:
Theoretical formulation and analysis of the deterministic dendritic cell algorithm. Biosyst. 111(2): 127-135 (2013) - [j34]Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin:
Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective. BMC Bioinform. 14(S-6): S6 (2013) - [j33]Simon Miller, Susan Appleby, Jonathan M. Garibaldi, Uwe Aickelin:
Towards a More Systematic Approach to Secure Systems Design and Analysis. Int. J. Secur. Softw. Eng. 4(1): 11-30 (2013) - [j32]Yihui Liu, Uwe Aickelin, Jan Feyereisl, Lindy Durrant:
Wavelet feature extraction and genetic algorithm for biomarker detection in colorectal cancer data. Knowl. Based Syst. 37: 502-514 (2013) - [j31]Jenna Marie Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Comparison of algorithms that detect drug side effects using electronic healthcare databases. Soft Comput. 17(12): 2381-2397 (2013) - [c60]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Attributes for causal inference in electronic healthcare databases. CBMS 2013: 548-549 - [c59]Grazziela P. Figueredo, Peer-Olaf Siebers, Douglas Adriano Augusto, Helio J. C. Barbosa, Uwe Aickelin:
The use of Agent-based Simulation to Discover Extreme Cases in Immune-Interactions with Early-Stage Cancer Scenarios. ECAL 2013: 854-855 - [c58]Emma Hart, Mark Read, Chris McEwan, Uwe Aickelin, Julie Greensmith:
On the Role of the AIS Practitioner. ECAL 2013: 891-892 - [c57]Naisan Benatar, Uwe Aickelin, Jonathan M. Garibaldi:
Interval type-2 fuzzy logic based robotic sailing. FUZZ-IEEE 2013: 1-8 - [c56]Josie McCulloch, Christian Wagner, Uwe Aickelin:
Extending similarity measures of interval type-2 fuzzy sets to general type-2 fuzzy sets. FUZZ-IEEE 2013: 1-8 - [c55]Josie McCulloch, Christian Wagner, Uwe Aickelin:
Measuring the directional distance between fuzzy sets. UKCI 2013: 38-45 - [i172]Uwe Aickelin:
Dienstplanerstellung in Krankenhaeusern mittels genetischer Algorithmen. CoRR abs/1305.7056 (2013) - [i171]Gianni Tedesco, Uwe Aickelin:
Adaptive Alert Throttling for Intrusion Detection Systems. CoRR abs/1305.7128 (2013) - [i170]William O. Wilson, Uwe Aickelin:
Memory Implementations - Current Alternatives. CoRR abs/1305.7130 (2013) - [i169]Uwe Aickelin, Julie Greensmith, Jamie Twycross:
Immune System Approaches to Intrusion Detection - A Review (ICARIS). CoRR abs/1305.7144 (2013) - [i168]Peer-Olaf Siebers, Uwe Aickelin, David Menachof, Galina Sherman, Peter Zimmerman:
Modelling and Analysing Cargo Screening Processes: A Project Outline. CoRR abs/1305.7145 (2013)