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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
- 2022
[j57]Ashkan Hafezalkotob, Keyvan Fardi, Uwe Aickelin, Samaneh Chaharbaghi, Hadi Akbarzadeh Khorshidi:
A cooperative robust human resource allocation problem for healthcare systems for disaster management. Comput. Ind. Eng. 170: 108283 (2022)- [j56]Ahmed Shihab Albahri
, Osamah Shihab Albahri, A. A. Zaidan, Alhamzah Alnoor, Hassan A. Alsattar, Rawia Mohammed, Abdullah Hussein Alamoodi, B. B. Zaidan, Uwe Aickelin, Mamoun Alazab, Salem Garfan, Ibraheem Y. Y. Ahmaro, Mohamed Aktham Ahmed:
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. Comput. Stand. Interfaces 80: 103572 (2022) - [j55]Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Multi-objective Semi-supervised clustering for finding predictive clusters. Expert Syst. Appl. 195: 116551 (2022) - [j54]Mohammed Assim Alsalem, Rawia Mohammed, Osamah Shihab Albahri, Aws Alaa Zaidan, Abdullah Hussein Alamoodi, Kareem Abbas Dawood, Alhamzah Alnoor, Ahmed Shihab Albahri, Bilal Bahaa Zaidan, Uwe Aickelin, Hassan A. Alsattar, Mamoun Alazab, Fawaz Jumaah:
Rise of multiattribute decision-making in combating COVID-19: A systematic review of the state-of-the-art literature. Int. J. Intell. Syst. 37(6): 3514-3624 (2022) - [c98]Erdi Gao, Goce Ristanoski, Uwe Aickelin, David Berlowitz, Mark Howard:
Early Detection and Classification of Patient-Ventilator Asynchrony Using Machine Learning. AIME 2022: 238-248 - [i241]Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Multi-objective Semi-supervised Clustering for Finding Predictive Clusters. CoRR abs/2201.10764 (2022) - [i240]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Fast Rate Generalization Error Bounds: Variations on a Theme. CoRR abs/2205.03131 (2022) - [i239]Xuetong Wu, Mingming Gong, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis. CoRR abs/2205.04641 (2022) - [i238]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
An Information-Theoretic Analysis for Transfer Learning: Error Bounds and Applications. CoRR abs/2207.05377 (2022) - 2021
- [j53]Abdullah Hussein Alamoodi, B. B. Zaidan, Maimonah Al-Masawa, Sahar M. Taresh, Sarah Noman, Ibraheem Y. Y. Ahmaro, Salem Garfan, Juliana Chen, Mohamed Aktham Ahmed, A. A. Zaidan, Osamah Shihab Albahri, Uwe Aickelin, Noor N. Thamir, Julanar Ahmed Fadhil, Asmaa Salahaldin:
Multi-perspectives systematic review on the applications of sentiment analysis for vaccine hesitancy. Comput. Biol. Medicine 139: 104957 (2021) - [j52]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) - [j51]Siuly Siuly, Uwe Aickelin, Md. Enamul Kabir, Zhisheng Huang, Yanchun Zhang:
Guest Editorial: Special issue on "Artificial Intelligence in Health Informatics". Health Inf. Sci. Syst. 9(1): 23 (2021) - [j50]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) - [j49]Hadi Akbarzade Khorshidi, Uwe Aickelin:
Constructing classifiers for imbalanced data using diversity optimisation. Inf. Sci. 565: 1-16 (2021) - [j48]Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Multicriteria group decision-making under uncertainty using interval data and cloud models. J. Oper. Res. Soc. 72(11): 2542-2556 (2021) - [c97]Mansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Collaborative Human-ML Decision Making Using Experts' Privileged Information Under Uncertainty. HUMAN@AAAI Fall Symposium 2021 - [c96]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 - [c95]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 - [c94]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 - [c93]Jaber Valizadeh, Uwe Aickelin, Hadi Akbarzadeh Khorshidi:
A Robust Mathematical Model for Blood Supply Chain Network using Game Theory. ICBK 2021: 448-453 - [c92]Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
A survey on Optimisation-based Semi-supervised Clustering Methods. ICBK 2021: 477-481 - [c91]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. ISIT 2021: 1540-1545 - [i237]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) - [i236]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. CoRR abs/2105.01445 (2021) - [i235]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) - [i234]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms. CoRR abs/2109.01377 (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) - [c90]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 - [c89]Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Methods of ranking for aggregated fuzzy numbers from interval-valued data. FUZZ-IEEE 2020: 1-7 - [c88]Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin:
Machine learning with incomplete datasets using multi-objective optimization models. IJCNN 2020: 1-8 - [c87]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Information-theoretic analysis for transfer learning. ISIT 2020: 2819-2824 - [c86]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) - [c85]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) - [c84]Chris M. Roadknight, Prapa Rattadilok, Uwe Aickelin:
Teaching Key Machine Learning Principles Using Anti-learning Datasets. TALE 2018: 960-964 - 2017
- [c83]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 - [c82]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 - [c81]Xinyu Fu, Eugene Ch'ng, Uwe Aickelin, Simon See:
CRNN: A Joint Neural Network for Redundancy Detection. SMARTCOMP 2017: 1-8 - [c80]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) - [c79]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 - [c78]Polla Fattah, Uwe Aickelin, Christian Wagner:
Measuring Player's Behaviour Change over Time in Public Goods Game. IntelliSys (2) 2016: 1039-1052 - [c77]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) - [c76]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 - [c75]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 - [c74]Javier Navarro, Christian Wagner, Uwe Aickelin:
Applying Interval Type-2 Fuzzy Rule Based Classifiers Through a Cluster-Based Class Representation. SSCI 2015: 1816-1823 - [c73]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) - [c72]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 - [c71]Josie C. McCulloch, Chris J. Hinde, Christian Wagner, Uwe Aickelin:
A fuzzy directional distance measure. FUZZ-IEEE 2014: 141-148 - [c70]Josie McCulloch, Christian Wagner, Uwe Aickelin:
Analysing fuzzy sets through combining measures of similarity and distance. FUZZ-IEEE 2014: 155-162 - [c69]Jenna Marie Reps, Uwe Aickelin:
Incorporating Spontaneous Reporting System Data to Aid Causal Inference in Longitudinal Healthcare Data. ICDM Workshops 2014: 119-126 - [c68]Jon Garibaldi, Eamonn Ferguson, Uwe Aickelin:
A Data Mining Framework to Model Consumer Indebtedness with Psychological Factors. ICDM Workshops 2014: 150-157 - [c67]Jenna Reps, Uwe Aickelin, Jonathan M. Garibaldi, Chris Damski:
Personalising Mobile Advertising Based on Users' Installed Apps. ICDM Workshops 2014: 338-345 - [c66]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 - [c65]Alexandros Ladas, Jonathan M. Garibaldi, Rodrigo Scarpel, Uwe Aickelin:
Augmented Neural Networks for modelling consumer indebtness. IJCNN 2014: 3086-3093 - [c64]Diman Hassan, Uwe Aickelin, Christian Wagner:
Comparison of Distance metrics for hierarchical data in medical databases. IJCNN 2014: 3636-3643 - [c63]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)