Uwe Aickelin

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 120

Top Venues

Publications

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 (2024)
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)
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 (2024)
Xuan-May Thi Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification. CoRR (2024)
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) (2024)
Mojgan Kouhounestani, Long Song, Ling Luo, Uwe Aickelin
Enhancing Predictive Modeling in Emergency Departments. ICT4AWE (2024)
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) (2024)
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) (2024)
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) (2024)
Xuan-May Thi Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification. KDD (2024)
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) (2024)
Tien-Dung Pham, Uwe Aickelin, Robert Bassett
Capturing prediction uncertainty in upstream cell culture models using conformal prediction and Gaussian processes. COPA (2023)
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) (2023)
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 (2023)
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 (2023)
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) (2023)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
A Bayesian approach to (online) transfer learning: Theory and algorithms. Artif. Intell. 324 (2023)
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 (2023)
Chenyang Wang, Ling Luo, Uwe Aickelin
Quasi-Periodicity Detection via Repetition Invariance of Path Signatures. PAKDD (4) (2023)
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 (2023)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
On the tightness of information-theoretic bounds on generalization error of learning algorithms. CoRR (2023)
Mansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
An Uncertainty-Accuracy-Based Score Function for Wrapper Methods in Feature Selection. FUZZ (2023)
Yuxuan Yang, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
A Diversity-Based Synthetic Oversampling Using Clustering for Handling Extreme Imbalance. SN Comput. Sci. 4 (6) (2023)
Mansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Uncertainty in Selective Bagging: A Dynamic Bi-objective Optimization Model. SDM (2023)
Chaitanya Manapragada, Tien-Dung Pham, Nikitaa Rajan, Uwe Aickelin
Pharmaceutical process optimisation: Decision support under high uncertainty. Comput. Chem. Eng. 170 (2023)
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) (2023)
Erdi Gao, Goce Ristanoski, Uwe Aickelin, David Berlowitz, Mark Howard
Early Detection and Classification of Patient-Ventilator Asynchrony Using Machine Learning. AIME (2022)
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 (2022)
Saeed Aramesh, Uwe Aickelin, Hadi Akbarzadeh Khorshidi
A hybrid projection method for resource-constrained project scheduling problem under uncertainty. Neural Comput. Appl. 34 (17) (2022)
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 (2022)
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 (2022)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
Fast Rate Generalization Error Bounds: Variations on a Theme. ITW (2022)
Ahmed Shihab Albahri, Osamah Shihab Albahri, A. A. Zaidan, Alhamzah Alnoor, H. 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 (2022)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
Fast Rate Generalization Error Bounds: Variations on a Theme. CoRR (2022)
Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Multi-objective Semi-supervised Clustering for Finding Predictive Clusters. CoRR (2022)
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) (2022)
Uwe Aickelin, Mansoureh Maadi, Hadi Akbarzadeh Khorshidi
Expert-Machine Collaborative Decision Making: We Need Healthy Competition. IEEE Intell. Syst. 37 (5) (2022)
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)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
An Information-Theoretic Analysis for Transfer Learning: Error Bounds and Applications. CoRR (2022)
Yuan Sun, Winton Nathan-Roberts, Tien-Dung Pham, Ellen Otte, Uwe Aickelin
Multi-fidelity Gaussian Process for Biomanufacturing Process Modeling with Small Data. CoRR (2022)
Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Multi-objective Semi-supervised clustering for finding predictive clusters. Expert Syst. Appl. 195 (2022)
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 (2021)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms. CoRR (2021)
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)
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 (2021)
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 (2021)
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) (2021)
Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Multicriteria group decision-making under uncertainty using interval data and cloud models. J. Oper. Res. Soc. 72 (11) (2021)
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) (2021)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. CoRR (2021)
Jaber Valizadeh, Uwe Aickelin, Hadi Akbarzadeh Khorshidi
A Robust Mathematical Model for Blood Supply Chain Network using Game Theory. ICBK (2021)
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)
Hadi Akbarzade Khorshidi, Uwe Aickelin
Constructing classifiers for imbalanced data using diversity optimisation. Inf. Sci. 565 (2021)
Zahra Ghasemi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
A survey on Optimisation-based Semi-supervised Clustering Methods. ICBK (2021)
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 (2021)
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)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. ISIT (2021)
Mansoureh Maadi, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Collaborative Human-ML Decision Making Using Experts' Privileged Information Under Uncertainty. HUMAN@AAAI Fall Symposium (2021)
Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Multicriteria Group Decision-Making Under Uncertainty Using Interval Data and Cloud Models. CoRR (2020)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
Information-theoretic analysis for transfer learning. ISIT (2020)
Xiaoping Jiang, Ruibin Bai, Dario Landa-Silva, Uwe Aickelin
Fuzzy C-means-based scenario bundling for stochastic service network design. CoRR (2020)
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) (2020)
Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Methods of ranking for aggregated fuzzy numbers from interval-valued data. CoRR (2020)
Bahram Farhadinia, Uwe Aickelin, Hadi Akbarzadeh Khorshidi
Uncertainty measures for probabilistic hesitant fuzzy sets in multiple criteria decision making. CoRR (2020)
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 (2020)
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 (2020)
Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Synthetic Over-sampling with the Minority and Majority classes for imbalance problems. CoRR (2020)
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 (2020)
Ning Xue, Ruibin Bai, Rong Qu, Uwe Aickelin
A Hybrid Pricing and Cutting Approach for the Multi-Shift Full Truckload Vehicle Routing Problem. CoRR (2020)
Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Similarity measure for aggregated fuzzy numbers from interval-valued data. CoRR (2020)
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 (2020)
Uwe Aickelin, Jenna Marie Reps, Peer-Olaf Siebers, Peng Li
Using simulation to incorporate dynamic criteria into multiple criteria decision-making. CoRR (2020)
Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin
Machine learning with incomplete datasets using multi-objective optimization models. IJCNN (2020)
Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Gholamreza Haffari, Behrooz Hassani-Mahmooei
Multi-objective semi-supervised clustering to identify health service patterns for injured patients. CoRR (2020)
Javier Navarro, Christian Wagner, Uwe Aickelin, Lynsey Green, Robert Ashford
Measuring agreement on linguistic expressions in medical treatment scenarios. CoRR (2020)
Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
Information-theoretic analysis for transfer learning. CoRR (2020)
Xuetong Wu, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Zobaida Edib, Michelle Peate
Imputation techniques on missing values in breast cancer treatment and fertility data. CoRR (2020)
Bahram Farhadinia, Uwe Aickelin, Hadi Akbarzadeh Khorshidi
Higher order hesitant fuzzy Choquet integral operator and its application to multiple criteria decision making. CoRR (2020)
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)
Chris M. Roadknight, Prapa Rattadilok, Uwe Aickelin
Teaching Key Machine Learning Principles Using Anti-learning Datasets. CoRR (2020)
Mansoureh Maadi, Uwe Aickelin, Hadi Akbarzadeh Khorshidi
An interval-based aggregation approach based on Bagging and Interval Agreement Approach in ensemble learning. SSCI (2020)
Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin
Methods of ranking for aggregated fuzzy numbers from interval-valued data. FUZZ-IEEE (2020)
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 (2020)
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 (2020)
Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin
Machine learning with incomplete datasets using multi-objective optimization models. CoRR (2020)
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)
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) (2019)
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 (2019)
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) (2019)
Uwe Aickelin, Wendy W. Chapman, Graeme K. Hart
Health Informatics - Ambitions and Purpose. Frontiers Digit. Health 1 (2019)
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) (2018)
Chris M. Roadknight, Prapa Rattadilok, Uwe Aickelin
Teaching Key Machine Learning Principles Using Anti-learning Datasets. TALE (2018)
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)
Xinyu Fu, Eugene Ch'ng, Uwe Aickelin, Simon See
CRNN: A Joint Neural Network for Redundancy Detection. SMARTCOMP (2017)
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)
Xinyu Fu, Eugene Ch'ng, Uwe Aickelin, Simon See
CRNN: A Joint Neural Network for Redundancy Detection. CoRR (2017)
Xiaoping Jiang, Ruibin Bai, Uwe Aickelin, Dario Landa-Silva
Fuzzy C-means-based scenario bundling for stochastic service network design. SSCI (2017)
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 (2016)
Jan Feyereisl, Uwe Aickelin
Self-Organising Maps in Computer Security. CoRR (2016)
Jiangang Ma, Le Sun, Hua Wang, Yanchun Zhang, Uwe Aickelin
Supervised Anomaly Detection in Uncertain Pseudoperiodic Data Streams. ACM Trans. Internet Techn. 16 (1) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Uwe Aickelin