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Zaharah Allah Bukhsh
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2020 – today
- 2024
- [c9]Robbert Reijnen, Yingqian Zhang, Hoong Chuin Lau, Zaharah Allah Bukhsh:
Online Control of Adaptive Large Neighborhood Search Using Deep Reinforcement Learning. ICAPS 2024: 475-483 - [i10]Igor G. Smit, Zaharah Allah Bukhsh, Mykola Pechenizkiy, Kostas Alogariastos, Kasper Hendriks, Yingqian Zhang:
Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking. CoRR abs/2404.08006 (2024) - [i9]Lisandro Arturo Jimenez-Roa, Thiago D. Simão, Zaharah Allah Bukhsh, Tiedo Tinga, Hajo Molegraaf, Nils Jansen, Mariëlle Stoelinga:
Maintenance Strategies for Sewer Pipes with Multi-State Degradation and Deep Reinforcement Learning. CoRR abs/2407.12894 (2024) - 2023
- [c8]Robbert Reijnen, Yingqian Zhang, Zaharah Allah Bukhsh, Mateusz Guzek:
Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems. GECCO Companion 2023: 315-318 - [c7]Zaharah Allah Bukhsh, Aaqib Saeed:
On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors. ICASSP 2023: 1-5 - [i8]Jeroen Middelhuis, Riccardo Lo Bianco, Eliran Scherzer, Zaharah Allah Bukhsh, Ivo J. B. F. Adan, Remco M. Dijkman:
Learning policies for resource allocation in business processes. CoRR abs/2304.09970 (2023) - [i7]Robbert Reijnen, Kjell van Straaten, Zaharah Allah Bukhsh, Yingqian Zhang:
Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods. CoRR abs/2308.12794 (2023) - [i6]Jan de Leeuw, Zaharah Allah Bukhsh, Yingqian Zhang:
Parcel loss prediction in last-mile delivery: deep and non-deep approaches with insights from Explainable AI. CoRR abs/2310.16602 (2023) - 2022
- [c6]David Kerkkamp, Zaharah Allah Bukhsh, Yingqian Zhang, Nils Jansen:
Grouping of Maintenance Actions with Deep Reinforcement Learning and Graph Convolutional Networks. ICAART (2) 2022: 574-585 - [c5]Zaharah Allah Bukhsh:
Contrastive Sensor Transformer for Predictive Maintenance of Industrial Assets. ICASSP 2022: 3558-3562 - [c4]Robbert Reijnen, Yingqian Zhang, Zaharah Allah Bukhsh, Mateusz Guzek:
Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization. SSCI 2022: 804-811 - [i5]Zaharah Allah Bukhsh, Nils Jansen, Hajo Molegraaf:
A Maintenance Planning Framework using Online and Offline Deep Reinforcement Learning. CoRR abs/2208.00808 (2022) - [i4]Zaharah Allah Bukhsh, Aaqib Saeed:
On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors. CoRR abs/2210.15283 (2022) - [i3]Robbert Reijnen, Yingqian Zhang, Hoong Chuin Lau, Zaharah Allah Bukhsh:
Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning. CoRR abs/2211.00759 (2022) - 2021
- [j3]Zaharah Allah Bukhsh, Nils Jansen, Aaqib Saeed:
Damage detection using in-domain and cross-domain transfer learning. Neural Comput. Appl. 33(24): 16921-16936 (2021) - [i2]Zaharah Allah Bukhsh, Nils Jansen, Aaqib Saeed:
Damage detection using in-domain and cross-domain transfer learning. CoRR abs/2102.03858 (2021) - [i1]Zaharah Allah Bukhsh, Aaqib Saeed, Remco M. Dijkman:
ProcessTransformer: Predictive Business Process Monitoring with Transformer Network. CoRR abs/2104.00721 (2021) - 2020
- [j2]Faiza Allah Bukhsh, Zaharah Allah Bukhsh, Maya Daneva:
A systematic literature review on requirement prioritization techniques and their empirical evaluation. Comput. Stand. Interfaces 69: 103389 (2020) - [j1]Zaharah Allah Bukhsh, Irina Stipanovic:
Predictive Maintenance for Infrastructure Asset Management. IT Prof. 22(5): 40-45 (2020)
2010 – 2019
- 2017
- [c3]Zaharah Allah Bukhsh, Marten van Sinderen, Klaas Sikkel, Dick A. C. Quartel:
Understanding Modeling Requirements of Unstructured Business Processes. ICE-B 2017: 17-27 - [c2]Zaharah Allah Bukhsh, Marten van Sinderen, Klaas Sikkel, Dick A. C. Quartel:
How to Manage and Model Unstructured Business Processes: A Proposed List of Representational Requirements. ICETE (Selected Papers) 2017: 81-103 - 2015
- [c1]Zaharah Allah Bukhsh, Marten van Sinderen, Prince M. Singh:
SOA and EDA: A Comparative Study - Similarities, Differences and Conceptual Guidelines on their Usage. ICE-B 2015: 213-220
Coauthor Index
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last updated on 2024-08-23 18:32 CEST by the dblp team
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