default search action
Uwe Aickelin
Person information
- affiliation: University of Melbourne, School of Computing and Information Systems, Australia
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j76]R. T. Mohammed, Abdullah Hussein Alamoodi, Osamah Shihab Albahri, A. A. Zaidan, Hassan A. AlSattar, Uwe Aickelin, Ahmed Shihab Albahri, B. B. Zaidan, Amelia Ritahani Ismail, Rami Qays Malik:
Corrigendum to "A decision modeling approach for smart e-tourism data management applications based on spherical fuzzy rough environment" [Applied Soft Computing 143(2023) 110297]. Appl. Soft Comput. 149(Part A): 110989 (2024) - [j75]Mohammad Yaseliani, Abtin Ijadi Maghsoodi, Erfan Hassannayebi, Uwe Aickelin:
Diagnostic clinical decision support based on deep learning and knowledge-based systems for psoriasis: From diagnosis to treatment options. Comput. Ind. Eng. 187: 109754 (2024) - [j74]Rahul Hans, Sanjeev Kumar Sharma, Uwe Aickelin:
Optimised deep k-nearest neighbour's based diabetic retinopathy diagnosis(ODeep-NN) using retinal images. Health Inf. Sci. Syst. 12(1): 23 (2024) - [j73]Hadi Akbarzadeh Khorshidi, Marzieh Soltanolkottabi, Richard Allmendinger, Uwe Aickelin:
Editorial: Special issue on operations research and machine learning. INFOR Inf. Syst. Oper. Res. 62(2): 183-185 (2024) - [j72]Behzad Minaei, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Arash Geramian:
Cloud model-based best-worst method for group decision making under uncertainty. INFOR Inf. Syst. Oper. Res. 62(2): 232-258 (2024) - [j71]Deepak Adhikari, Wei Jiang, Jinyu Zhan, Maregu Assefa, Hadi Akbarzade Khorshidi, Uwe Aickelin, Danda B. Rawat:
A Lightweight-Window-Portion-Based Multiple Imputation for Extreme Missing Gaps in IoT Systems. IEEE Internet Things J. 11(3): 3676-3689 (2024) - [j70]Yuan Sun, Su Nguyen, Dhananjay R. Thiruvady, Xiaodong Li, Andreas T. Ernst, Uwe Aickelin:
Enhancing constraint programming via supervised learning for job shop scheduling. Knowl. Based Syst. 293: 111698 (2024) - [j69]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
On the Generalization for Transfer Learning: An Information-Theoretic Analysis. IEEE Trans. Inf. Theory 70(10): 7089-7124 (2024) - [c108]Anthony Stell, Ernesto C. Caparo, Zhe Wang, Chenyang Wang, David Berlowitz, Mark Howard, Richard O. Sinnott, Uwe Aickelin:
Identification of Patient Ventilator Asynchrony in Physiological Data Through Integrating Machine-Learning. BIOSTEC (2) 2024: 436-443 - [c107]Mojgan Kouhounestani, Long Song, Ling Luo, Uwe Aickelin:
Enhancing Predictive Modeling in Emergency Departments. ICT4AWE 2024: 37-46 - [c106]Xuan-May Thi Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran:
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification. KDD 2024: 1484-1494 - [i246]Xuan-May Thi Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran:
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification. CoRR abs/2405.14608 (2024) - 2023
- [j68]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
A Bayesian approach to (online) transfer learning: Theory and algorithms. Artif. Intell. 324: 103991 (2023) - [j67]R. T. Mohammed, Abdullah Hussein Alamoodi, Osamah Shihab Albahri, A. A. Zaidan, Hassan A. AlSattar, Uwe Aickelin, Ahmed Shihab Albahri, B. B. Zaidan, Amelia Ritahani Ismail, Rami Qays Malik:
A decision modeling approach for smart e-tourism data management applications based on spherical fuzzy rough environment. Appl. Soft Comput. 143: 110297 (2023) - [j66]Mahsa Noori-daryan, Ata Allah Taleizadeh, Uwe Aickelin:
Time-sensitive cancellation refund in advance booking: Effect of online-to-offline marketing policy. Comput. Ind. Eng. 183: 109445 (2023) - [j65]Chaitanya Manapragada, Tien-Dung Pham, Nikitaa Rajan, Uwe Aickelin:
Pharmaceutical process optimisation: Decision support under high uncertainty. Comput. Chem. Eng. 170: 108100 (2023) - [j64]Mahdi Fahmideh, John C. Grundy, Aakash Ahmad, Jun Shen, Jun Yan, Davoud Mougouei, Peng Wang, Aditya Ghose, Anuradha Gunawardana, Uwe Aickelin, Babak Abedin:
Engineering Blockchain-based Software Systems: Foundations, Survey, and Future Directions. ACM Comput. Surv. 55(6): 110:1-110:44 (2023) - [j63]Deepak Adhikari, Wei Jiang, Jinyu Zhan, Zhiyuan He, Danda B. Rawat, Uwe Aickelin, Hadi Akbarzade Khorshidi:
A Comprehensive Survey on Imputation of Missing Data in Internet of Things. ACM Comput. Surv. 55(7): 133:1-133:38 (2023) - [j62]Chaofan Tu, Ruibin Bai, Uwe Aickelin, Yuchang Zhang, Heshan Du:
A deep reinforcement learning hyper-heuristic with feature fusion for online packing problems. Expert Syst. Appl. 230: 120568 (2023) - [j61]Yuxuan Yang, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
A Diversity-Based Synthetic Oversampling Using Clustering for Handling Extreme Imbalance. SN Comput. Sci. 4(6): 848 (2023) - [j60]Uwe Aickelin, Hadi Akbarzadeh Khorshidi, Rong Qu, Hadi Charkhgard:
Guest Editorial Special Issue on Multiobjective Evolutionary Optimization in Machine Learning. IEEE Trans. Evol. Comput. 27(4): 746-748 (2023) - [c105]Tien-Dung Pham, Uwe Aickelin, Robert Bassett:
Capturing prediction uncertainty in upstream cell culture models using conformal prediction and Gaussian processes. COPA 2023: 169-171 - [c104]Mansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
An Uncertainty-Accuracy-Based Score Function for Wrapper Methods in Feature Selection. FUZZ 2023: 1-6 - [c103]Chenyang Wang, Ling Luo, Uwe Aickelin:
Quasi-Periodicity Detection via Repetition Invariance of Path Signatures. PAKDD (4) 2023: 301-313 - [c102]Mansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Uncertainty in Selective Bagging: A Dynamic Bi-objective Optimization Model. SDM 2023: 235-243 - [i245]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
On the tightness of information-theoretic bounds on generalization error of learning algorithms. CoRR abs/2303.14658 (2023) - [i244]Mehedi Hasan, Moloud Abdar, Abbas Khosravi, Uwe Aickelin, Pietro Lio', Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi:
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing. CoRR abs/2304.04906 (2023) - 2022
- [j59]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) - [j58]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) - [j57]Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Multi-objective Semi-supervised clustering for finding predictive clusters. Expert Syst. Appl. 195: 116551 (2022) - [j56]Uwe Aickelin, Mansoureh Maadi, Hadi Akbarzadeh Khorshidi:
Expert-Machine Collaborative Decision Making: We Need Healthy Competition. IEEE Intell. Syst. 37(5): 28-31 (2022) - [j55]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 Mohammed 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) - [j54]Saeed Aramesh, Uwe Aickelin, Hadi Akbarzadeh Khorshidi:
A hybrid projection method for resource-constrained project scheduling problem under uncertainty. Neural Comput. Appl. 34(17): 14557-14576 (2022) - [c101]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 - [c100]Yuxuan Yang, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Cluster-based Diversity Over-sampling: A Density and Diversity Oriented Synthetic Over-sampling for Imbalanced Data. IJCCI 2022: 17-28 - [c99]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Fast Rate Generalization Error Bounds: Variations on a Theme. ITW 2022: 43-48 - [i243]Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Multi-objective Semi-supervised Clustering for Finding Predictive Clusters. CoRR abs/2201.10764 (2022) - [i242]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Fast Rate Generalization Error Bounds: Variations on a Theme. CoRR abs/2205.03131 (2022) - [i241]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) - [i240]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) - [i239]Yuan Sun, Su Nguyen, Dhananjay R. Thiruvady, Xiaodong Li, Andreas T. Ernst, Uwe Aickelin:
Enhancing Constraint Programming via Supervised Learning for Job Shop Scheduling. CoRR abs/2211.14492 (2022) - [i238]Yuan Sun, Winton Nathan-Roberts, Tien-Dung Pham, Ellen Otte, Uwe Aickelin:
Multi-fidelity Gaussian Process for Biomanufacturing Process Modeling with Small Data. CoRR abs/2211.14493 (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) - [c98]Mansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Collaborative Human-ML Decision Making Using Experts' Privileged Information Under Uncertainty. HUMAN@AAAI Fall Symposium 2021 - [c97]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 - [c96]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 - [c95]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 - [c94]Jaber Valizadeh, Uwe Aickelin, Hadi Akbarzadeh Khorshidi:
A Robust Mathematical Model for Blood Supply Chain Network using Game Theory. ICBK 2021: 448-453 - [c93]Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
A survey on Optimisation-based Semi-supervised Clustering Methods. ICBK 2021: 477-481 - [c92]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) - [c91]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 - [c90]Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Methods of ranking for aggregated fuzzy numbers from interval-valued data. FUZZ-IEEE 2020: 1-7 - [c89]Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin:
Machine learning with incomplete datasets using multi-objective optimization models. IJCNN 2020: 1-8 - [c88]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Information-theoretic analysis for transfer learning. ISIT 2020: 2819-2824 - [c87]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) - [c86]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) - [c85]Chris M. Roadknight, Prapa Rattadilok, Uwe Aickelin:
Teaching Key Machine Learning Principles Using Anti-learning Datasets. TALE 2018: 960-964 - 2017
- [c84]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 - [c83]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 - [c82]Xinyu Fu, Eugene Ch'ng, Uwe Aickelin, Simon See:
CRNN: A Joint Neural Network for Redundancy Detection. SMARTCOMP 2017: 1-8 - [c81]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) - [c80]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 - [c79]Polla Fattah, Uwe Aickelin, Christian Wagner:
Measuring Player's Behaviour Change over Time in Public Goods Game. IntelliSys (2) 2016: 1039-1052 - [c78]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) - [c77]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 - [c76]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 - [c75]Javier Navarro, Christian Wagner, Uwe Aickelin:
Applying Interval Type-2 Fuzzy Rule Based Classifiers Through a Cluster-Based Class Representation. SSCI 2015: 1816-1823 - [c74]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) - [c73]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 - [c72]Josie C. McCulloch, Chris J. Hinde, Christian Wagner, Uwe Aickelin:
A fuzzy directional distance measure. FUZZ-IEEE 2014: 141-148 - [c71]Josie McCulloch, Christian Wagner, Uwe Aickelin:
Analysing fuzzy sets through combining measures of similarity and distance. FUZZ-IEEE 2014: 155-162 - [c70]Jenna Marie Reps, Uwe Aickelin:
Incorporating Spontaneous Reporting System Data to Aid Causal Inference in Longitudinal Healthcare Data. ICDM Workshops 2014: 119-126 - [c69]Jon Garibaldi, Eamonn Ferguson, Uwe Aickelin:
A Data Mining Framework to Model Consumer Indebtedness with Psychological Factors. ICDM Workshops 2014: 150-157 - [c68]Jenna Reps, Uwe Aickelin, Jonathan M. Garibaldi, Chris Damski:
Personalising Mobile Advertising Based on Users' Installed Apps. ICDM Workshops 2014: 338-345 - [c67]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 - [c66]Alexandros Ladas, Jonathan M. Garibaldi, Rodrigo Scarpel, Uwe Aickelin:
Augmented Neural Networks for modelling consumer indebtness. IJCNN 2014: 3086-3093 - [c65]Diman Hassan, Uwe Aickelin, Christian Wagner:
Comparison of Distance metrics for hierarchical data in medical databases. IJCNN 2014: 3636-3643 - [c64]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) - [c63]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 - [c62]Chris M. Roadknight, Uwe Aickelin, John Scholefield, Lindy Durrant:
Ensemble learning of colorectal cancer survival rates. CIVEMSA 2013: 82-86 - [c61]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 - [c60]Emma Hart, Mark Read, Chris McEwan, Uwe Aickelin, Julie Greensmith:
On the Role of the AIS Practitioner. ECAL 2013: 891-892 - [c59]Naisan Benatar, Uwe Aickelin, Jonathan M. Garibaldi:
Interval type-2 fuzzy logic based robotic sailing. FUZZ-IEEE 2013: 1-8 - [c58]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 - [c57]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) - [i167]Feng Gu, Julie Greensmith, Uwe Aickelin:
The Dendritic Cell Algorithm for Intrusion Detection. CoRR abs/1305.7416 (2013) - [i166]Galina Sherman, Peer-Olaf Siebers, David Menachof, Uwe Aickelin:
Evaluating Different Cost-Benefit Analysis Methods for Port Security Operations. CoRR abs/1305.7422 (2013) - [i165]Adrian Adewunmi, Uwe Aickelin:
Investigating the effectiveness of Variance Reduction Techniques in Manufacturing, Call Center and Cross-docking Discrete Event Simulation Models. CoRR abs/1305.7424 (2013) - [i164]Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi:
Real-world Transfer of Evolved Artificial Immune System Behaviours between Small and Large Scale Robotic Platforms. CoRR abs/1305.7432 (2013) - [i163]William O. Wilson, Phil Birkin, Uwe Aickelin:
Motif Detection Inspired by Immune Memory (JORS). CoRR abs/1305.7434 (2013) - [i162]Tao Zhang, Peer-Olaf Siebers, Uwe Aickelin:
Modelling Electricity Consumption in Office Buildings: An Agent Based Approach. CoRR abs/1305.7437 (2013) - [i161]Jan Feyereisl, Uwe Aickelin:
Privileged Information for Data Clustering. CoRR abs/1305.7454 (2013) - [i160]Chris M. Roadknight, Uwe Aickelin, Galina Sherman:
Validation of a Microsimulation of the Port of Dover. CoRR abs/1305.7458 (2013) - [i159]Yihui Liu, Uwe Aickelin, Jan Feyereisl, Lindy Durrant:
Wavelet feature extraction and genetic algorithm for biomarker detection in colorectal cancer data. CoRR abs/1305.7465 (2013) - [i158]Simon Miller, Susan Appleby, Jonathan M. Garibaldi, Uwe Aickelin:
Towards a More Systematic Approach to Secure Systems Design and Analysis. CoRR abs/1305.7467 (2013) - [i157]Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin:
Investigating Mathematical Models of Immuno-Interactions with Early-Stage Cancer under an Agent-Based Modelling Perspective. CoRR abs/1305.7471 (2013) - [i156]Feng Gu, Julie Greensmith, Uwe Aickelin:
Theoretical formulation and analysis of the deterministic dendritic cell algorithm. CoRR abs/1305.7476 (2013) - [i155]Xiyang Liu, Zhongjie Ren, Xiuling Chang, Haichang Gao, Uwe Aickelin:
Draw a line on your PDA to authenticate. CoRR abs/1305.7482 (2013) - [i154]Liming Wang, Xiuling Chang, Zhongjie Ren, Haichang Gao, Xiyang Liu, Uwe Aickelin:
Against Spyware Using CAPTCHA in Graphical Password Scheme. CoRR abs/1305.7485 (2013) - [i153]Tao Zhang, Peer-Olaf Siebers, Uwe Aickelin:
A Three-Dimensional Model of Residential Energy Consumer Archetypes for Local Energy Policy Design in the UK. CoRR abs/1306.0491 (2013) - [i152]Haichang Gao, Zhongjie Ren, Xiuling Chang, Xiyang Liu, Uwe Aickelin:
A New Graphical Password Scheme Resistant to Shoulder-Surfing. CoRR abs/1306.2882 (2013) - [i151]Haichang Gao, Honggang Liu, Dan Yao, Xiyang Liu, Uwe Aickelin:
An audio CAPTCHA to distinguish humans from computers. CoRR abs/1306.2885 (2013) - [i150]Grazziela P. Figueredo, Uwe Aickelin:
Defining a Simulation Strategy for Cancer Immunocompetence. CoRR abs/1306.2898 (2013) - [i149]Haichang Gao, Zhongjie Ren, Xiuling Chang, Xiyang Liu, Uwe Aickelin:
The effect of baroque music on the PassPoints graphical password. CoRR abs/1306.3054 (2013) - [i148]Haichang Gao, Xiuling Chang, Zhongjie Ren, Uwe Aickelin, Liming Wang:
Can background baroque music help to improve the memorability of graphical passwords? CoRR abs/1306.3055 (2013) - [i147]Galina Sherman, Peer-Olaf Siebers, Uwe Aickelin, David Menachof:
Scenario Analysis, Decision Trees and Simulation for Cost Benefit Analysis of the Cargo Screening Process. CoRR abs/1306.5158 (2013) - [i146]Galina Sherman, David Menachof, Peer-Olaf Siebers, Uwe Aickelin:
Towards modelling cost and risks of infrequent events in the cargo screening process. CoRR abs/1306.5160 (2013) - [i145]Grazziela P. Figueredo, Uwe Aickelin:
Investigating Immune System Aging: System Dynamics and Agent-Based Modeling. CoRR abs/1306.6206 (2013) - [i144]Stephanie J. Foan, Andrew M. Jackson, Ian Spendlove, Uwe Aickelin:
Simulating the Dynamics of T Cell Subsets Throughout the Lifetime. CoRR abs/1307.0747 (2013) - [i143]Peer-Olaf Siebers, Galina Sherman, Uwe Aickelin, David Menachof:
Comparing Decison Support Tools for Cargo Screening Processes. CoRR abs/1307.0749 (2013) - [i142]Naisan Benatar, Uwe Aickelin, Jonathan M. Garibaldi:
A Comparison of Non-stationary, Type-2 and Dual Surface Fuzzy Control. CoRR abs/1307.1070 (2013) - [i141]Mazlina Abdul Majid, Peer-Olaf Siebers, Uwe Aickelin:
Modelling Reactive and Proactive Behaviour in Simulation: A Case Study in a University Organisation. CoRR abs/1307.1073 (2013) - [i140]Jenna Reps, Jan Feyereisl, Jonathan M. Garibaldi, Uwe Aickelin, Jack E. Gibson, Richard B. Hubbard:
Investigating the Detection of Adverse Drug Events in a UK General Practice Electronic Health-Care Database. CoRR abs/1307.1078 (2013) - [i139]Ian Dent, Uwe Aickelin, Tom Rodden:
Application of a clustering framework to UK domestic electricity data. CoRR abs/1307.1079 (2013) - [i138]Ian Dent, Uwe Aickelin, Tom Rodden:
The Application of a Data Mining Framework to Energy Usage Profiling in Domestic Residences using UK data. CoRR abs/1307.1380 (2013) - [i137]Ian Dent, Christian Wagner, Uwe Aickelin, Tom Rodden:
Creating Personalised Energy Plans. From Groups to Individuals using Fuzzy C Means Clustering. CoRR abs/1307.1385 (2013) - [i136]Hala Helmi, Jonathan M. Garibaldi, Uwe Aickelin:
Examining the Classification Accuracy of TSVMs with ?Feature Selection in Comparison with the GLAD Algorithm. CoRR abs/1307.1387 (2013) - [i135]Grazziela P. Figueredo, Uwe Aickelin, Peer-Olaf Siebers:
Systems Dynamics or Agent-Based Modelling for Immune Simulation? CoRR abs/1307.1390 (2013) - [i134]Feng Gu, Jan Feyereisl, Robert F. Oates, Jenna Reps, Julie Greensmith, Uwe Aickelin:
Quiet in Class: Classification, Noise and the Dendritic Cell Algorithm. CoRR abs/1307.1391 (2013) - [i133]Yihui Liu, Uwe Aickelin:
Detect adverse drug reactions for drug Alendronate. CoRR abs/1307.1394 (2013) - [i132]Naisan Benatar, Uwe Aickelin, Jonathan M. Garibaldi:
An investigation into the relationship between type-2 FOU size and environmental uncertainty in robotic control. CoRR abs/1307.1408 (2013) - [i131]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Discovering Sequential Patterns in a UK General Practice Database. CoRR abs/1307.1411 (2013) - [i130]Yihui Liu, Uwe Aickelin:
Detect adverse drug reactions for the drug Pravastatin. CoRR abs/1307.1466 (2013) - [i129]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Comparing Data-mining Algorithms Developed for Longitudinal Observational Databases. CoRR abs/1307.1584 (2013) - [i128]Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin, Stephanie J. Foan:
A Beginners Guide to Systems Simulation in Immunology. CoRR abs/1307.1597 (2013) - [i127]Christopher M. Roadknight, Uwe Aickelin:
Extending a Microsimulation of the Port of Dover. CoRR abs/1307.1598 (2013) - [i126]Chris M. Roadknight, Uwe Aickelin, Guoping Qiu, John Scholefield, Lindy Durrant:
Supervised Learning and Anti-learning of Colorectal Cancer Classes and Survival Rates from Cellular Biology Parameters. CoRR abs/1307.1599 (2013) - [i125]Chris M. Roadknight, Uwe Aickelin, Alex Ladas, Daniele Soria, John Scholefield, Lindy Durrant:
Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification. CoRR abs/1307.1601 (2013) - [i124]Tao Zhang, Peer-Olaf Siebers, Uwe Aickelin:
Modelling the Effects of User Learning on Forced Innovation Diffusion. CoRR abs/1307.1694 (2013) - [i123]Alexandros Ladas, Uwe Aickelin, Jonathan M. Garibaldi, Eamonn Ferguson:
Using Clustering to extract Personality Information from socio economic data. CoRR abs/1307.1998 (2013) - [i122]Aslam Ahmed, Julie Greensmith, Uwe Aickelin:
Variance in System Dynamics and Agent Based Modelling Using the SIR Model of Infectious Disease. CoRR abs/1307.2001 (2013) - [i121]Ian Dent, Tony Craig, Uwe Aickelin, Tom Rodden:
Finding the creatures of habit; Clustering households based on their flexibility in using electricity. CoRR abs/1307.2111 (2013) - [i120]Naisan Benatar, Uwe Aickelin, Jonathan M. Garibaldi:
Performance Measurement Under Increasing Environmental Uncertainty In The Context of Interval Type-2 Fuzzy Logic Based Robotic Sailing. CoRR abs/1308.5133 (2013) - [i119]Josie McCulloch, Christian Wagner, Uwe Aickelin:
Extending Similarity Measures of Interval Type-2 Fuzzy Sets to General Type-2 Fuzzy Sets. CoRR abs/1308.5136 (2013) - [i118]Josie McCulloch, Christian Wagner, Uwe Aickelin:
Measuring the Directional Distance Between Fuzzy Sets. CoRR abs/1308.5137 (2013) - [i117]Uwe Aickelin, Dipankar Dasgupta, Feng Gu:
Artificial Immune Systems (INTROS 2). CoRR abs/1308.5138 (2013) - [i116]Yihui Liu, Uwe Aickelin:
Detect adverse drug reactions for drug Pioglitazone. CoRR abs/1308.5144 (2013) - [i115]Yihui Liu, Uwe Aickelin:
Detect adverse drug reactions for drug Atorvastatin. CoRR abs/1308.6697 (2013) - 2012
- [j30]Jan Feyereisl, Uwe Aickelin:
Privileged information for data clustering. Inf. Sci. 194: 4-23 (2012) - [j29]Chris M. Roadknight, Uwe Aickelin, Galina Sherman:
Validation of a microsimulation of the Port of Dover. J. Comput. Sci. 3(1-2): 56-66 (2012) - [c56]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Discovering sequential patterns in a UK general practice database. BHI 2012: 960-963 - [c55]Yihui Liu, Uwe Aickelin:
Detect adverse drug reactions for the drug Pravastatin. BMEI 2012: 1188-1192 - [c54]Aslam Ahmed, Julie Greensmith, Uwe Aickelin:
Variance In System Dynamics And Agent Based Modelling Using The SIR Model Of Infectious Disease. ECMS 2012: 9-15 - [c53]Chris M. Roadknight, Uwe Aickelin, Alex Ladas, Daniele Soria, John Scholefield, Lindy Durrant:
Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification. FedCSIS 2012: 187-191 - [c52]Naisan Benatar, Uwe Aickelin, Jonathan M. Garibaldi:
An investigation into the relationship between type-2 FOU size and environmental uncertainty in robotic control. FUZZ-IEEE 2012: 1-8 - [c51]Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin, Stephanie J. Foan:
A Beginner's Guide to Systems Simulation in Immunology. ICARIS 2012: 57-71 - [c50]Chris M. Roadknight, Uwe Aickelin, Guoping Qiu, John Scholefield, Lindy Durrant:
Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters. SMC 2012: 797-802 - [c49]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Comparing data-mining algorithms developed for longitudinal observational databases. UKCI 2012: 1-8 - [p3]Feng Gu, Julie Greensmith, Uwe Aickelin:
The Dendritic Cell Algorithm for Intrusion Detection. Biologically Inspired Networking and Sensing 2012: 84-102 - 2011
- [j28]Peer-Olaf Siebers, Uwe Aickelin:
A First Approach on Modelling Staff Proactiveness in Retail Simulation Models. J. Artif. Soc. Soc. Simul. 14(2) (2011) - [j27]Uwe Aickelin, Alistair R. Clark:
Heuristic optimisation. J. Oper. Res. Soc. 62(2): 251-252 (2011) - [j26]William O. Wilson, Phil Birkin, Uwe Aickelin:
Motif detection inspired by immune memory. J. Oper. Res. Soc. 62(2): 253-265 (2011) - [j25]Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Chris W. Clegg:
Towards the development of a simulator for investigating the impact of people management practices on retail performance. J. Simulation 5(4): 247-265 (2011) - [c48]Naisan Benatar, Uwe Aickelin, Jonathan M. Garibaldi:
A comparison of non-stationary, type-2 and dual surface fuzzy control. FUZZ-IEEE 2011: 1193-1200 - [c47]Stephanie J. Foan, Andrew M. Jackson, Ian Spendlove, Uwe Aickelin:
Simulating the Dynamics of T Cell Subsets throughout the Lifetime. ICARIS 2011: 71-76 - [c46]Grazziela P. Figueredo, Uwe Aickelin, Peer-Olaf Siebers:
Systems Dynamics or Agent-Based Modelling for Immune Simulation? ICARIS 2011: 81-94 - [c45]Feng Gu, Jan Feyereisl, Robert F. Oates, Jenna Reps, Julie Greensmith, Uwe Aickelin:
Quiet in Class: Classification, Noise and the Dendritic Cell Algorithm. ICARIS 2011: 173-186 - [i114]Peer-Olaf Siebers, Uwe Aickelin:
A First Approach on Modelling Staff Proactiveness in Retail Simulation Models. CoRR abs/1108.3019 (2011) - [i113]Grazziela P. Figueredo, Uwe Aickelin:
Comparing System Dynamics and Agent-Based Simulation for Tumour Growth and its Interactions with Effector Cells. CoRR abs/1108.3235 (2011) - 2010
- [j24]Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi:
Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot. Appl. Soft Comput. 10(3): 876-887 (2010) - [j23]Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi:
Real-world transfer of evolved artificial immune system behaviours between small and large scale robotic platforms. Evol. Intell. 3(3-4): 123-136 (2010) - [j22]Jamie Twycross, Uwe Aickelin, Amanda M. Whitbrook:
Detecting Anomalous Process Behaviour Using Second Generation Artificial Immune Systems. Int. J. Unconv. Comput. 6(3-4): 301-326 (2010) - [j21]Julie Greensmith, Uwe Aickelin, Gianni Tedesco:
Information fusion for anomaly detection with the dendritic cell algorithm. Inf. Fusion 11(1): 21-34 (2010) - [j20]Jamie Twycross, Uwe Aickelin:
Information fusion in the immune system. Inf. Fusion 11(1): 35-44 (2010) - [j19]Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Chris W. Clegg:
Simulating Customer Experience and Word-Of-Mouth in Retail - A Case Study. Simul. 86(1): 5-30 (2010) - [c44]Liming Wang, Xiuling Chang, Zhongjie Ren, Haichang Gao, Xiyang Liu, Uwe Aickelin:
Against Spyware Using CAPTCHA in Graphical Password Scheme. AINA 2010: 760-767 - [c43]Haichang Gao, Zhongjie Ren, Xiuling Chang, Xiyang Liu, Uwe Aickelin:
The effect of baroque music on the PassPoints graphical password. CIVR 2010: 129-134 - [c42]Haichang Gao, Zhongjie Ren, Xiuling Chang, Xiyang Liu, Uwe Aickelin:
A New Graphical Password Scheme Resistant to Shoulder-Surfing. CW 2010: 194-199 - [c41]Grazziela P. Figueredo, Uwe Aickelin:
Defining a Simulation Strategy for Cancer Immunocompetence. ICARIS 2010: 4-17 - [c40]Haichang Gao, Xiuling Chang, Zhongjie Ren, Uwe Aickelin, Liming Wang:
Can Background Baroque Music Help to Improve the Memorability of Graphical Passwords? ICIAR (2) 2010: 378-387 - [c39]Grazziela P. Figueredo, Uwe Aickelin:
Investigating immune system aging: system dynamics and agent-based modeling. SummerSim 2010: 174-181 - [i112]Rafael Lahoz-Beltra, Gabriela Ochoa, Uwe Aickelin:
Cheating for Problem Solving: A Genetic Algorithm with Social Interactions. CoRR abs/1001.1889 (2010) - [i111]Jungwon Kim, William O. Wilson, Uwe Aickelin, Julie McLeod:
Cooperative Automated Worm Response and Detection Immune Algorithm. CoRR abs/1001.2155 (2010) - [i110]Mazlina Abdul Majid, Uwe Aickelin, Peer-Olaf Siebers:
Comparing Simulation Output Accuracy of Discrete Event and Agent Based Models: A Quantitive Approach. CoRR abs/1001.2170 (2010) - [i109]Yousof Al-Hammadi, Uwe Aickelin, Julie Greensmith:
DCA for Bot Detection. CoRR abs/1001.2195 (2010) - [i108]Jamie Twycross, Uwe Aickelin:
Biological Optimisation for Nurse Scheduling. CoRR abs/1001.2208 (2010) - [i107]Julie Greensmith, Uwe Aickelin:
Dendritic Cells for Real-Time Anomaly Detection. CoRR abs/1001.2405 (2010) - [i106]Julie Greensmith, Jamie Twycross, Uwe Aickelin:
Dendritic Cells for Anomaly Detection. CoRR abs/1001.2411 (2010) - [i105]Yousof Al-Hammadi, Uwe Aickelin:
Detecting Botnets Through Log Correlation. CoRR abs/1001.2665 (2010) - [i104]Julie Greensmith, Uwe Aickelin:
Dendritic Cells for SYN Scan Detection. CoRR abs/1002.0276 (2010) - [i103]William O. Wilson, Jan Feyereisl, Uwe Aickelin:
Detecting Motifs in System Call Sequences. CoRR abs/1002.0432 (2010) - [i102]Julie Greensmith, Uwe Aickelin, Jamie Twycross:
Detecting Danger: Applying a Novel Immunological Concept to Intrusion Detection Systems. CoRR abs/1002.0696 (2010) - [i101]Yousof Al-Hammadi, Uwe Aickelin:
Detecting Bots Based on Keylogging Activities. CoRR abs/1002.1200 (2010) - [i100]Feng Gu, Julie Greensmith, Uwe Aickelin:
Further Exploration of the Dendritic Cell Algorithm: Antigen Multiplier and Time Windows. CoRR abs/1003.0319 (2010) - [i99]Jamie Twycross, Uwe Aickelin:
libtissue - implementing innate immunity. CoRR abs/1003.0339 (2010) - [i98]Feng Gu, Julie Greensmith, Uwe Aickelin:
Exploration Of The Dendritic Cell Algorithm Using The Duration Calculus. CoRR abs/1003.0404 (2010) - [i97]Julie Greensmith, Uwe Aickelin, Gianni Tedesco:
Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm. CoRR abs/1003.0789 (2010) - [i96]Gianni Tedesco, Jamie Twycross, Uwe Aickelin:
Integrating Innate and Adaptive Immunity for Intrusion Detection. CoRR abs/1003.1256 (2010) - [i95]Jamie Twycross, Uwe Aickelin:
Information Fusion in the Immune System. CoRR abs/1003.1598 (2010) - [i94]Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Chris W. Clegg:
Modelling and simulating retail management practices: a first approach. CoRR abs/1003.3766 (2010) - [i93]Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Chris W. Clegg:
Multi-Agent Simulation and Management Practices. CoRR abs/1003.3767 (2010) - [i92]Adrian Adewunmi, Uwe Aickelin:
Optimisation of a Crossdocking Distribution Centre Simulation Model. CoRR abs/1003.3775 (2010) - [i91]Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Chris W. Clegg:
Simulating Customer Experience and Word Of Mouth in Retail - A Case Study. CoRR abs/1003.3784 (2010) - [i90]Feng Gu, Julie Greensmith, Uwe Aickelin:
Integrating Real-Time Analysis With The Dendritic Cell Algorithm Through Segmentation. CoRR abs/1003.4140 (2010) - [i89]Mazlina Abdul Majid, Uwe Aickelin, Peer-Olaf Siebers:
Investigating Output Accuracy for a Discrete Event Simulation Model and an Agent Based Simulation Model. CoRR abs/1003.4141 (2010) - [i88]Jungwon Kim, Julie Greensmith, Jamie Twycross, Uwe Aickelin:
Malicious Code Execution Detection and Response Immune System inspired by the Danger Theory. CoRR abs/1003.4142 (2010) - [i87]Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi:
Mimicking the Behaviour of Idiotypic AIS Robot Controllers Using Probabilistic Systems. CoRR abs/1003.4145 (2010) - [i86]Peer-Olaf Siebers, Galina Sherman, Uwe Aickelin:
Development of a Cargo Screening Process Simulator: A First Approach. CoRR abs/1003.4196 (2010) - [i85]Jamie Twycross, Uwe Aickelin:
Experimenting with Innate Immunity. CoRR abs/1004.2854 (2010) - [i84]Yousof Al-Hammadi, Uwe Aickelin:
Behavioural Correlation for Detecting P2P Bots. CoRR abs/1004.2860 (2010) - [i83]Uwe Aickelin:
Nurse Rostering with Genetic Algorithms. CoRR abs/1004.2870 (2010) - [i82]Uwe Aickelin:
Genetic Algorithms for Multiple-Choice Problems. CoRR abs/1004.3147 (2010) - [i81]Julie Greensmith, Uwe Aickelin, Steve Cayzer:
Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomoly Detection. CoRR abs/1004.3196 (2010) - [i80]Feng Gu, Julie Greensmith, Robert F. Oates, Uwe Aickelin:
PCA 4 DCA: The Application Of Principal Component Analysis To The Dendritic Cell Algorithm. CoRR abs/1004.3460 (2010) - [i79]Yongnan Ji, Pierre-Yves Hervé, Uwe Aickelin, Alain Pitiot:
Parcellation of fMRI Datasets with ICA and PLS-A Data Driven Approach. CoRR abs/1004.3708 (2010) - [i78]William O. Wilson, Phil Birkin, Uwe Aickelin:
Oil Price Trackers Inspired by Immune Memory. CoRR abs/1004.3884 (2010) - [i77]William O. Wilson, Phil Birkin, Uwe Aickelin:
Motif Detection Inspired by Immune Memory. CoRR abs/1004.3887 (2010) - [i76]Yousof Al-Hammadi, Uwe Aickelin, Julie Greensmith:
Performance Evaluation of DCA and SRC on a Single Bot Detection. CoRR abs/1004.3919 (2010) - [i75]Simon M. Garrett, Martin Robbins, Joanne H. Walker, William O. Wilson, Uwe Aickelin:
Modelling Immunological Memory. CoRR abs/1004.3932 (2010) - [i74]William O. Wilson, Phil Birkin, Uwe Aickelin:
Price Trackers Inspired by Immune Memory. CoRR abs/1004.3939 (2010) - [i73]Gianni Tedesco, Uwe Aickelin:
Real-Time Alert Correlation with Type Graphs. CoRR abs/1004.4089 (2010) - [i72]Jan Feyereisl, Uwe Aickelin:
STORM - A Novel Information Fusion and Cluster Interpretation Technique. CoRR abs/1004.4095 (2010) - [i71]Aaron C. Hurley, Ali Al-Radaideh, Bai Li, Uwe Aickelin, Ron Coxon, Paul Glover, Penny A. Gowland:
Tailored RF pulse optimization for magnetization inversion at ultra high field. CoRR abs/1004.5051 (2010) - [i70]Grazziela P. Figueredo, Uwe Aickelin, Amanda M. Whitbrook:
System Dynamics Modelling of the Processes Involving the Maintenance of the Naive T Cell Repertoire. CoRR abs/1004.5215 (2010) - [i69]Robert F. Oates, Julie Greensmith, Uwe Aickelin, Jonathan M. Garibaldi, Graham Kendall:
The Application of a Dendritic Cell Algorithm to a Robotic Classifier. CoRR abs/1004.5222 (2010) - [i68]Julie Greensmith, Uwe Aickelin:
The Deterministic Dendritic Cell Algorithm. CoRR abs/1006.1512 (2010) - [i67]Julie Greensmith, Jan Feyereisl, Uwe Aickelin:
The DCA:SOMe Comparison A comparative study between two biologically-inspired algorithms. CoRR abs/1006.1518 (2010) - [i66]William O. Wilson, Phil Birkin, Uwe Aickelin:
The Motif Tracking Algorithm. CoRR abs/1006.1526 (2010) - [i65]Jan Feyereisl, Uwe Aickelin:
ToLeRating UR-STD. CoRR abs/1006.1563 (2010) - [i64]Jamie Twycross, Uwe Aickelin:
Towards a Conceptual Framework for Innate Immunity. CoRR abs/1006.1568 (2010) - [i63]Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi:
Two-Timescale Learning Using Idiotypic Behaviour Mediation For A Navigating Mobile Robot. CoRR abs/1006.2945 (2010) - [i62]Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi:
The Use of Probabilistic Systems to Mimic the Behaviour of Idiotypic AIS Robot Controllers. CoRR abs/1006.3650 (2010) - [i61]Mazlina Abdul Majid, Peer-Olaf Siebers, Uwe Aickelin:
Modelling Reactive and Proactive Behaviour in Simulation. CoRR abs/1006.3652 (2010) - [i60]Jamie Twycross, Uwe Aickelin, Amanda M. Whitbrook:
Detecting Anomalous Process Behaviour using Second Generation Artificial Immune Systems. CoRR abs/1006.3654 (2010) - [i59]Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Chris W. Clegg:
Towards the Development of a Simulator for Investigating the Impact of People Management Practices on Retail Performance. CoRR abs/1006.4035 (2010) - [i58]Julie Greensmith, Amanda M. Whitbrook, Uwe Aickelin:
Artificial Immune Systems (2010). CoRR abs/1006.4949 (2010) - [i57]Julie Greensmith, Uwe Aickelin, Steve Cayzer:
Detecting Danger: The Dendritic Cell Algorithm. CoRR abs/1006.5008 (2010) - [i56]Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi:
The Transfer of Evolved Artificial Immune System Behaviours between Small and Large Scale Robotic Platforms. CoRR abs/1007.0376 (2010)
2000 – 2009
- 2009
- [j18]Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Chris W. Clegg:
Modelling and simulating retail management practices: a first approach. Int. J. Simul. Process. Model. 5(3): 215-232 (2009) - [j17]Jingpeng Li, Uwe Aickelin, Edmund K. Burke:
A Component-Based Heuristic Search Method with Evolutionary Eliminations for Hospital Personnel Scheduling. INFORMS J. Comput. 21(3): 468-479 (2009) - [j16]Uwe Aickelin, Edmund K. Burke, Jingpeng Li:
An Evolutionary Squeaky Wheel Optimization Approach to Personnel Scheduling. IEEE Trans. Evol. Comput. 13(2): 433-443 (2009) - [c38]Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi:
The Transfer of Evolved Artificial Immune System Behaviours between Small and Large Scale Robotic Platforms. Artificial Evolution 2009: 122-133 - [c37]Rafael Lahoz-Beltra, Gabriela Ochoa, Uwe Aickelin:
Cheating for problem solving: a genetic algorithm with social interactions. GECCO 2009: 811-818 - [c36]Feng Gu, Julie Greensmith, Uwe Aickelin:
Integrating real-time analysis with the dendritic cell algorithm through segmentation. GECCO 2009: 1203-1210 - [c35]Feng Gu, Julie Greensmith, Uwe Aickelin:
Exploration of the Dendritic Cell Algorithm Using the Duration Calculus. ICARIS 2009: 54-66 - [c34]Jan Feyereisl, Uwe Aickelin:
STORM - A Novel Information Fusion and Cluster Interpretation Technique. IDEAL 2009: 208-218 - [c33]Yongnan Ji, Pierre-Yves Hervé, Uwe Aickelin, Alain Pitiot:
Parcellation of fMRI Datasets with ICA and PLS-A Data Driven Approach. MICCAI (1) 2009: 984-991 - [p2]Julie Greensmith, Uwe Aickelin:
Artificial Dendritic Cells: Multi-faceted Perspectives. Human-Centric Information Processing Through Granular Modelling 2009: 375-395 - [e1]Paul S. Andrews, Jon Timmis, Nick D. L. Owens, Uwe Aickelin, Emma Hart, Andrew Hone, Andy M. Tyrrell:
Artificial Immune Systems, 8th International Conference, ICARIS 2009, York, UK, August 9-12, 2009. Proceedings. Lecture Notes in Computer Science 5666, Springer 2009, ISBN 978-3-642-03245-5 [contents] - [i55]Julie Greensmith, Uwe Aickelin:
Artificial Dendritic Cells: Multi-faceted Perspectives. CoRR abs/0907.3867 (2009) - [i54]Jingpeng Li, Uwe Aickelin, Edmund K. Burke:
A Component Based Heuristic Search Method with Evolutionary Eliminations. CoRR abs/0910.2593 (2009) - [i53]Feng Gu, Uwe Aickelin, Julie Greensmith:
An Agent Based Classification Model. CoRR abs/0910.2874 (2009) - [i52]Uwe Aickelin, Jingpeng Li, Edmund K. Burke:
An Evolutionary Squeaky Wheel Optimisation Approach to Personnel Scheduling. CoRR abs/0910.3068 (2009) - [i51]Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi:
An Idiotypic Immune Network as a Short Term Learning Architecture for Mobile Robots. CoRR abs/0910.3115 (2009) - [i50]Jamie Twycross, Uwe Aickelin:
An Immune Inspired Approach to Anomaly Detection. CoRR abs/0910.3117 (2009) - [i49]Gianni Tedesco, Uwe Aickelin:
An Immune Inspired Network Intrusion Detection System Utilising Correlation Context. CoRR abs/0910.3124 (2009) - [i48]Uwe Aickelin, Dipankar Dasgupta:
Artificial Immune Systems. CoRR abs/0910.4899 (2009) - [i47]Julie Greensmith, Uwe Aickelin, Jamie Twycross:
Articulation and Clarification of the Dendritic Cell Algorithm. CoRR abs/0910.4903 (2009) - [i46]Jan Feyereisl, Uwe Aickelin:
Artificial Immune Tissue using Self-Orgamizing Networks. CoRR abs/0910.5405 (2009) - 2008
- [j15]Uwe Aickelin:
Special issue on artificial immune systems. Evol. Intell. 1(2): 83-84 (2008) - [j14]Julie Greensmith, Jan Feyereisl, Uwe Aickelin:
The DCA: SOMe comparison - A comparative study between two biologically inspired algorithms. Evol. Intell. 1(2): 85-112 (2008) - [j13]William O. Wilson, Phil Birkin, Uwe Aickelin:
The motif tracking algorithm. Int. J. Autom. Comput. 5(1): 32-44 (2008) - [c32]Yousof Al-Hammadi, Uwe Aickelin:
Detecting Bots Based on Keylogging Activities. ARES 2008: 896-902 - [c31]Yousof Al-Hammadi, Uwe Aickelin, Julie Greensmith:
DCA for bot detection. IEEE Congress on Evolutionary Computation 2008: 1807-1816 - [c30]Feng Gu, Julie Greensmith, Uwe Aickelin:
Further Exploration of the Dendritic Cell Algorithm: Antigen Multiplier and Time Windows. ICARIS 2008: 142-153 - [c29]Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi:
An Idiotypic Immune Network as a Short-Term Learning Architecture for Mobile Robots. ICARIS 2008: 266-278 - [c28]Julie Greensmith, Uwe Aickelin:
The Deterministic Dendritic Cell Algorithm. ICARIS 2008: 291-302 - [c27]Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi:
Genetic-algorithm Seeding of Idiotypic Networks for Mobile-robot Navigation. ICINCO-RA (1) 2008: 5-14 - [c26]Gianni Tedesco, Uwe Aickelin:
Real-Time Alert Correlation with Type Graphs. ICISS 2008: 173-187 - [c25]Jan Feyereisl, Uwe Aickelin:
ToLeRating UR-STD. SECURWARE 2008: 287-293 - [i45]Uwe Aickelin:
A Pyramidal Evolutionary Algorithm with Different Inter-Agent Partnering Strategies for Scheduling Problems. CoRR abs/0801.3209 (2008) - [i44]Steve Cayzer, Uwe Aickelin:
On the Effects of Idiotypic Interactions for Recommendation Communities in Artificial Immune Systems. CoRR abs/0801.3539 (2008) - [i43]Steve Cayzer, Uwe Aickelin:
A Recommender System based on the Immune Network. CoRR abs/0801.3547 (2008) - [i42]Uwe Aickelin, Steve Cayzer:
The Danger Theory and Its Application to Artificial Immune Systems. CoRR abs/0801.3549 (2008) - [i41]Uwe Aickelin, Larry Bull:
Partnering Strategies for Fitness Evaluation in a Pyramidal Evolutionary Algorithm. CoRR abs/0801.3550 (2008) - [i40]Jingpeng Li, Uwe Aickelin:
A Bayesian Optimisation Algorithm for the Nurse Scheduling Problem. CoRR abs/0801.3971 (2008) - [i39]Gianni Tedesco, Uwe Aickelin:
Strategic Alert Throttling for Intrusion Detection Systems. CoRR abs/0801.4119 (2008) - [i38]Qi Chen, Uwe Aickelin:
Movie Recommendation Systems Using An Artificial Immune System. CoRR abs/0801.4287 (2008) - [i37]Uwe Aickelin, Qi Chen:
On Affinity Measures for Artificial Immune System Movie Recommenders. CoRR abs/0801.4307 (2008) - [i36]Uwe Aickelin, Edmund K. Burke, Aniza Mohamed Din:
Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments. CoRR abs/0801.4312 (2008) - [i35]Uwe Aickelin:
Artificial Immune Systems (AIS) - A New Paradigm for Heuristic Decision Making. CoRR abs/0801.4314 (2008) - [i34]Uwe Aickelin, Kathryn A. Dowsland:
Exploiting problem structure in a genetic algorithm approach to a nurse rostering problem. CoRR abs/0802.2001 (2008) - [i33]Uwe Aickelin, Julie Greensmith:
Sensing Danger: Innate Immunology for Intrusion Detection. CoRR abs/0802.4002 (2008) - [i32]Qi Chen, Uwe Aickelin:
Dempster-Shafer for Anomaly Detection. CoRR abs/0803.1568 (2008) - [i31]Uwe Aickelin, Adrian Adewunmi:
Simulation Optimization of the Crossdock Door Assignment Problem. CoRR abs/0803.1576 (2008) - [i30]Helen Celia, Christopher Clegg, Mark Robinson, Peer-Olaf Siebers, Uwe Aickelin, Christine Sprigg:
Using Intelligent Agents to understand organisational behaviour. CoRR abs/0803.1596 (2008) - [i29]Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Christopher Clegg:
A Multi-Agent Simulation of Retail Management Practices. CoRR abs/0803.1598 (2008) - [i28]Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Christopher Clegg:
Understanding Retail Productivity by Simulating Management Practise. CoRR abs/0803.1600 (2008) - [i27]Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Christopher Clegg:
Using Intelligent Agents to Understand Management Practices and Retail Productivity. CoRR abs/0803.1604 (2008) - [i26]Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Christopher Clegg:
An Agent-Based Simulation of In-Store Customer Experiences. CoRR abs/0803.1621 (2008) - [i25]Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi:
Genetic-Algorithm Seeding Of Idiotypic Networks For Mobile-Robot Navigation. CoRR abs/0803.1626 (2008) - [i24]Salwani Abdullah, Uwe Aickelin, Edmund K. Burke, Aniza Mohamed Din, Rong Qu:
Investigating a Hybrid Metaheuristic For Job Shop Rescheduling. CoRR abs/0803.1728 (2008) - [i23]Adrian Adewunmi, Uwe Aickelin, Mike Byrne:
An Investigation of the Sequential Sampling Method for Crossdocking Simulation Output Variance Reduction. CoRR abs/0803.1985 (2008) - [i22]Uwe Aickelin, Edmund K. Burke, Jingpeng Li:
Improved Squeaky Wheel Optimisation for Driver Scheduling. CoRR abs/0803.1993 (2008) - [i21]Jingpeng Li, Uwe Aickelin:
The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling. CoRR abs/0803.1994 (2008) - [i20]Uwe Aickelin, Peter J. Bentley, Steve Cayzer, Jungwon Kim, Julie McLeod:
Danger Theory: The Link between AIS and IDS. CoRR abs/0803.1997 (2008) - [i19]Uwe Aickelin, Kathryn A. Dowsland:
Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem. CoRR abs/0803.2957 (2008) - [i18]Uwe Aickelin:
An Indirect Genetic Algorithm for Set Covering Problems. CoRR abs/0803.2965 (2008) - [i17]Uwe Aickelin, Larry Bull:
On the Application of Hierarchical Coevolutionary Genetic Algorithms: Recombination and Evaluation Partners. CoRR abs/0803.2966 (2008) - [i16]Uwe Aickelin, Paul White:
Building Better Nurse Scheduling Algorithms. CoRR abs/0803.2967 (2008) - [i15]Uwe Aickelin, Kathryn A. Dowsland:
An Indirect Genetic Algorithm for a Nurse Scheduling Problem. CoRR abs/0803.2969 (2008) - [i14]Steve Cayzer, Uwe Aickelin:
A Recommender System based on Idiotypic Artificial Immune Networks. CoRR abs/0803.2970 (2008) - [i13]Uwe Aickelin, Jamie Twycross, Thomas Hesketh-Roberts:
Rule Generalisation in Intrusion Detection Systems using Snort. CoRR abs/0803.2973 (2008) - [i12]Uwe Aickelin, Jingpeng Li:
An Estimation of Distribution Algorithm for Nurse Scheduling. CoRR abs/0803.2975 (2008) - [i11]Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi:
Idiotypic Immune Networks in Mobile Robot Control. CoRR abs/0803.2981 (2008) - [i10]Peer-Olaf Siebers, Uwe Aickelin, Giuliana Battisti, Helen Celia, Christopher Clegg, Xiaolan Fu, Raphael De Hoyos, Alfonsiana Iona, Alina Petrescu, Peixoto Adriano:
The Role of Management Practices in Closing the Productivity Gap. CoRR abs/0803.2995 (2008) - [i9]Jingpeng Li, Uwe Aickelin, Edmund K. Burke:
A Component Based Heuristic Search method with Adaptive Perturbations for Hospital Personnel Scheduling. CoRR abs/0803.3900 (2008) - [i8]Peer-Olaf Siebers, Uwe Aickelin:
Introduction to Multi-Agent Simulation. CoRR abs/0803.3905 (2008) - [i7]Uwe Aickelin, Dipankar Dasgupta:
Artificial Immune Systems Tutorial. CoRR abs/0803.3912 (2008) - [i6]Jingpeng Li, Uwe Aickelin:
Bayesian Optimisation Algorithm for Nurse Scheduling. CoRR abs/0804.0524 (2008) - [i5]Tom Morrison, Uwe Aickelin:
An Artificial Immune System as a Recommender System for Web Sites. CoRR abs/0804.0573 (2008) - [i4]Jingpeng Li, Uwe Aickelin:
Explicit Learning: an Effort towards Human Scheduling Algorithms. CoRR abs/0804.0580 (2008) - [i3]Jungwon Kim, Peter J. Bentley, Uwe Aickelin, Julie Greensmith, Gianni Tedesco, Jamie Twycross:
Immune System Approaches to Intrusion Detection - A Review. CoRR abs/0804.1266 (2008) - [i2]Gianni Tedesco, Uwe Aickelin:
Data Reduction in Intrusion Alert Correlation. CoRR abs/0804.1281 (2008) - 2007
- [j12]Uwe Aickelin, Jingpeng Li:
An estimation of distribution algorithm for nurse scheduling. Ann. Oper. Res. 155(1): 289-309 (2007) - [j11]Uwe Aickelin, Jamie Twycross, Thomas Hesketh-Roberts:
Rule generalisation in intrusion detection systems using SNORT. Int. J. Electron. Secur. Digit. Forensics 1(1): 101-116 (2007) - [j10]Uwe Aickelin, Julie Greensmith:
Sensing danger: Innate immunology for intrusion detection. Inf. Secur. Tech. Rep. 12(4): 218-227 (2007) - [j9]Uwe Aickelin, Edmund K. Burke, Jingpeng Li:
An estimation of distribution algorithm with intelligent local search for rule-based nurse rostering. J. Oper. Res. Soc. 58(12): 1574-1585 (2007) - [j8]Jungwon Kim, Peter J. Bentley, Uwe Aickelin, Julie Greensmith, Gianni Tedesco, Jamie Twycross:
Immune system approaches to intrusion detection - a review. Nat. Comput. 6(4): 413-466 (2007) - [j7]Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Garibaldi:
Idiotypic Immune Networks in Mobile-Robot Control. IEEE Trans. Syst. Man Cybern. Part B 37(6): 1581-1598 (2007) - [c24]Salwani Abdullah, Uwe Aickelin, Edmund K. Burke, Aniza Mohamed Din, Rong Qu:
Investigating a Hybrid Metaheuristic for Job Shop Rescheduling. ACAL 2007: 357-368 - [c23]Julie Greensmith, Uwe Aickelin:
Dendritic cells for SYN scan detection. GECCO 2007: 49-56 - [c22]Robert F. Oates, Julie Greensmith, Uwe Aickelin, Jonathan M. Garibaldi, Graham Kendall:
The Application of a Dendritic Cell Algorithm to a Robotic Classifier. ICARIS 2007: 204-215 - [c21]William O. Wilson, Phil Birkin, Uwe Aickelin:
Motif Detection Inspired by Immune Memory. ICARIS 2007: 276-287 - [c20]Jamie Twycross, Uwe Aickelin:
Biological Inspiration for Artificial Immune Systems. ICARIS 2007: 300-311 - [c19]Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Chris W. Clegg:
A multi-agent simulation of retail management practices. SCSC 2007: 959-966 - [c18]William O. Wilson, Jan Feyereisl, Uwe Aickelin:
Detecting Motifs in System Call Sequences. WISA 2007: 157-172 - [c17]Peer-Olaf Siebers, Uwe Aickelin, Helen Celia, Chris W. Clegg:
Using intelligent agents to understand management practices and retail productivity. WSC 2007: 2212-2220 - [i1]Uwe Aickelin, Edmund K. Burke, Jingpeng Li:
An Estimation of Distribution Algorithm with Intelligent Local Search for Rule-based Nurse Rostering. CoRR abs/0711.3591 (2007) - 2006
- [c16]Jamie Twycross, Uwe Aickelin:
libtissue - implementing innate immunity. IEEE Congress on Evolutionary Computation 2006: 499-506 - [c15]Julie Greensmith, Jamie Twycross, Uwe Aickelin:
Dendritic Cells for Anomaly Detection. IEEE Congress on Evolutionary Computation 2006: 664-671 - [c14]Qi Chen, Uwe Aickelin:
Anomaly Detection Using the Dempster-Shafer Method. DMIN 2006: 232-240 - [c13]Gianni Tedesco, Jamie Twycross, Uwe Aickelin:
Integrating Innate and Adaptive Immunity for Intrusion Detection. ICARIS 2006: 193-202 - [c12]William O. Wilson, Phil Birkin, Uwe Aickelin:
Price Trackers Inspired by Immune Memory. ICARIS 2006: 362-375 - [c11]Julie Greensmith, Uwe Aickelin, Jamie Twycross:
Articulation and Clarification of the Dendritic Cell Algorithm. ICARIS 2006: 404-417 - [c10]Uwe Aickelin, Edmund K. Burke, Jingpeng Li:
Improved Squeaky Wheel Optimisation for Driver Scheduling. PPSN 2006: 182-191 - [p1]Jingpeng Li, Uwe Aickelin:
BOA for Nurse Scheduling. Scalable Optimization via Probabilistic Modeling 2006: 315-332 - 2005
- [j6]Steve Cayzer, Uwe Aickelin:
A Recommender System based on Idiotypic Artificial Immune Networks. J. Math. Model. Algorithms 4(2): 181-198 (2005) - [j5]Uwe Aickelin:
Book Selection. J. Oper. Res. Soc. 56(3): 352-355 (2005) - [c9]Jamie Twycross, Uwe Aickelin:
Towards a Conceptual Framework for Innate Immunity. ICARIS 2005: 112-125 - [c8]Julie Greensmith, Uwe Aickelin, Steve Cayzer:
Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection. ICARIS 2005: 153-167 - [c7]Jungwon Kim, William O. Wilson, Uwe Aickelin, Julie McLeod:
Cooperative Automated Worm Response and Detection ImmuNe ALgorithm(CARDINAL) Inspired by T-Cell Immunity and Tolerance. ICARIS 2005: 168-181 - 2004
- [j4]Uwe Aickelin, Paul White:
Building Better Nurse Scheduling Algorithms. Ann. Oper. Res. 128(1-4): 159-177 (2004) - [j3]Uwe Aickelin, Kathryn A. Dowsland:
An indirect Genetic Algorithm for a nurse-scheduling problem. Comput. Oper. Res. 31(5): 761-778 (2004) - [c6]Uwe Aickelin, Julie Greensmith, Jamie Twycross:
Immune System Approaches to Intrusion Detection - A Review. ICARIS 2004: 316-329 - [c5]Jingpeng Li, Uwe Aickelin:
The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling. PPSN 2004: 581-590 - 2003
- [c4]Jingpeng Li, Uwe Aickelin:
A Bayesian optimization algorithm for the nurse scheduling problem. IEEE Congress on Evolutionary Computation 2003: 2149-2156 - [c3]Uwe Aickelin, Peter J. Bentley, Steve Cayzer, Jungwon Kim, Julie McLeod:
Danger Theory: The Link between AIS and IDS? ICARIS 2003: 147-155 - 2002
- [j2]Uwe Aickelin, Kathryn A. Dowsland:
Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem. J. Heuristics 8(5): 503-514 (2002) - [j1]Uwe Aickelin:
An indirect genetic algorithm for set covering problems. J. Oper. Res. Soc. 53(10): 1118-1126 (2002) - [c2]Steve Cayzer, Uwe Aickelin:
A recommender system based on the immune network. IEEE Congress on Evolutionary Computation 2002: 807-812 - [c1]Uwe Aickelin, Larry Bull:
Partnering Strategies For Fitness Evaluation In A Pyramidal Evolutionary Algorithm. GECCO 2002: 263-270
Coauthor Index
aka: Christopher Clegg
aka: Grazziela P. Figueredo
aka: Jon Garibaldi
aka: Hadi Akbarzade Khorshidi
aka: Jenna Marie Reps
aka: Christopher M. Roadknight
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint