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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
- 2024
[j75]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)- [j74]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) - [j73]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) - [j72]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) - [j71]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) - [j70]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) - [j69]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) - [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]