publications

Publications in reversed chronological order.

An up-to-date list is available on Google scholar

2023

  1. A maintenance planning framework using online and offline deep reinforcement learning
    Zaharah A Bukhsh, Hajo Molegraaf, and Nils Jansen
    Neural Computing and Applications, 2023
  2. On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors
    Zaharah Bukhsh, and Aaqib Saeed
    In ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
  3. Learning policies for resource allocation in business processes
    Jeroen Middelhuis, R Lo Bianco, E Scherzer, and 3 more authors
    arXiv preprint arXiv:2304.09970, 2023
  4. Unsupervised anomaly detection algorithms on real-world data: how many do we need?
    Roel Bouman, Zaharah Bukhsh, and Tom Heskes
    arXiv preprint arXiv:2305.00735, 2023
  5. Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems
    Robbert Reijnen, Zaharah Bukhsh, Yingqian Zhang, and 1 more author
    In Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems, 2023

2022

  1. BiNet: Bridge Visual Inspection Dataset and Approach for Damage Detection
    Zaharah A Bukhsh, Andrej Anžlin, and Irina Stipanović
    In Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures: EUROSTRUCT 2021 1, 2022
  2. Grouping of Maintenance Actions with Deep Reinforcement Learning and Graph Convolutional Networks.
    David Kerkkamp, Zaharah Allah Bukhsh, Yingqian Zhang, and 1 more author
    In ICAART (2), 2022
  3. Contrastive Sensor Transformer for Predictive Maintenance of Industrial Assets
    Zaharah Bukhsh
    In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
  4. Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization
    Robbert Reijnen, Yingqian Zhang, Zaharah Bukhsh, and 1 more author
    In 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 2022
  5. Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning
    Robbert Reijnen, Yingqian Zhang, Hoong Chuin Lau, and 1 more author
    arXiv preprint arXiv:2211.00759, 2022

2021

  1. A multiobjective decision-making model for risk-based maintenance scheduling of railway earthworks
    Irina Stipanovic, Zaharah Allah Bukhsh, Cormac Reale, and 1 more author
    Applied Sciences, 2021
  2. Processtransformer: Predictive business process monitoring with transformer network
    Zaharah A Bukhsh, Aaqib Saeed, and Remco M Dijkman
    arXiv preprint arXiv:2104.00721, 2021
  3. Deep reinforcement learning for rehabilitation planning of water pipes network
    Zaharah A Bukhsh, Nils Jansen, and Hajo Molegraaf
    In Adaptive and Learning Agents Workshop, 2021
  4. Damage detection using in-domain and cross-domain transfer learning
    Zaharah A Bukhsh, Nils Jansen, and Aaqib Saeed
    Neural Computing and Applications, 2021

2020

  1. A systematic literature review on requirement prioritization techniques and their empirical evaluation
    Faiza Allah Bukhsh, Zaharah Allah Bukhsh, and Maya Daneva
    Computer Standards & Interfaces, 2020
  2. Multi-year maintenance planning framework using multi-attribute utility theory and genetic algorithms
    Zaharah Allah Bukhsh, Irina Stipanovic, and Andre G Doree
    European transport research review, 2020
  3. Maintenance intervention predictions using entity-embedding neural networks
    Zaharah Allah Bukhsh, Irina Stipanovic, Aaqib Saeed, and 1 more author
    Automation in construction, 2020
  4. Predictive Maintenance for Infrastructure Asset Management
    Zaharah Allah Bukhsh, and Irina Stipanovic
    IT Professional, 2020

2019

  1. CCIS
    How to Manage and Model Unstructured Business Processes: A Proposed List of Representational Requirements
    Klaas Sikkel Zaharah Allah Bukhsh, and Dick Quartel
    In Communications in Computer and Information Science, 2019
  2. Tran. Emerg.
    Predictive maintenance using tree-based classification techniques: A case of railway switches
    Zaharah Allah Bukhsh, Aaqib Saeed, Irina Stipanovic, and 1 more author
    Transportation Research Part C: Emerging Technologies, 2019
  3. Providing decision support for transport infrastructure maintenance planning: Through application of multi-criteria and machine learning methods
    Zaharah Allah Bukhsh
    University of Twente, 2019
  4. Different bridge maintenance strategies and life cycle costs: Comparison of costs in Croatia, Slovenia and the Netherlands
    Sandra Skaric Palic, Irina Stipanovic, Zaharah Allah Bukhsh, and 1 more author
    In 41st IABSE Symposium 2019: Towards a Resilient Built Environment-Risk and Asset Management, 2019
  5. Providing decision support for transport infrastructure maintenance planning: Through application of multi-criteria and machine learning methods
    Zaharah Allah Bukhsh
    2019
  6. Different bridge maintenance strategies and life cycle costs: Comparison of costs in Croatia, Slovenia and the Netherlands
    Sandra Skaric Palic, Irina Stipanovic, Zaharah Allah Bukhsh, and 1 more author
    2019

2018

  1. SIE
    Network level bridges maintenance planning using Multi-Attribute Utility Theory
    Zaharah Allah Bukhsh, Irina Stipanovic, Giel Klanker, and 2 more authors
    Structure and infrastructure engineering, 2018
  2. BJRBE
    Robustness of the multi-attribute utility model for bridge maintenance planning
    Zaharah Allah Bukhsh, Irina Stipanovic, Sandra Skaric Palic, and 1 more author
    The Baltic Journal of Road and Bridge Engineering, 2018
  3. Evaluation and Application of AHP, MAUT and ELECTRE for Infrastructure management
    Zaharah Allah Bukhsh, Irina Stipanovic, Andreas Hartmaan, and 1 more author
    In Life Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision: Proceedings of the Sixth International Symposium on Life-Cycle Civil Engineering (IALCCE 2018), 2018
  4. Evolution of Decision Support Systems for Railway Infrastructure Managers
    Zaharah Allah Bukhsh, Irina Stipanovic, Kenneth Gavin, and 1 more author
    In 7th Transport Research Arena TRA 2018 (TRA 2018) (TRA2018), Vienna, 16-19 April 2018, 2018
  5. A machine learning approach for maintenance prediction of railway assets
    Zaharah Allah Bukhsh, A Saeed, and Irina Stipanovic
    Transp. Res. Arena, 2018

2017

  1. ICE-B
    Understanding Modeling Requirements of Unstructured Business Processes
    Zaharah Allah Bukhsh, Marten Sinderen, N. Sikkel (Klaas) Quartel, and 1 more author
    In 14th International Joint Conference on e-Business and Telecommunications, 2017
  2. Multi-criteria decision making: AHP method applied for network bridge prioritization
    Zaharah Allah Bukhsh, Irina Stipanovic Oslakovic, Giel Klanker, and 3 more authors
    In Proceedings of the Joint COST TU1402-COST TU1406—IABSE WC1 Workshop, Zagreb, 2017
  3. WG2 Technical Report: Performance Goals for Roadway Bridges of COST ACTION TU 1406: Establishment of a Quality Control Plan
    Irina Stipanovic, Eleni Chatzi, Maria Pina Limongelli, and 8 more authors
    2017

2016

  1. From Analysis of Information Needs towards an Information Model of Railway Infrastructure
    Zaharah Allah Bukhsh, Timo Hartmann, and Irina Stipanovic
    In 23rd International Workshop of the European Group for Intelligent Computing in Engineering, 2016

2015

  1. BPMN Plus: a modelling language for unstructured business processes
    Zaharah Allah Bukhsh
    University of Twente, 2015
  2. ICE-B
    SOA and EDA: A Comparative Study, Similarities, Differences and Conceptual Guidelines on their Usage
    P. M. Singh Zaharah Allah Bukhsh
    In International Conference on e-Business (ICE-B 2015), 2015
  3. SOA and EDA: a comparative study-similarities, difference and conceptual guidelines on their usage
    Zaharah Allah Bukhsh, Marten J Sinderen, and Prince Mayurank Singh
    2015