Zaharah Bukhsh

14 papers A* 1A 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Self-supervise ensemble for extreme imbalance data streams with concept drift. Neurocomputing Yiming Teng, Zaharah Bukhsh, Yingqian Zhang, Hang Yin
2025	—	`conf`	Deep Reinforcement Learning Based Genetic Framework for Flexible Job-Shop Scheduling Under Practical Constraints. LION (1) Kjell van Straaten, Robbert Reijnen, Zaharah Bukhsh, Yaoxin Wu, Yingqian Zhang
2025	J	`jnl`	Deep multi-objective reinforcement learning for utility-based infrastructural maintenance optimization. Neural Comput. Appl. Jesse van Remmerden, Maurice Kenter, Diederik M. Roijers, Charalampos Andriotis, Yingqian Zhang, Zaharah Bukhsh
2025	J	`jnl`	Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Data. CoRR Jesse van Remmerden, Zaharah Bukhsh, Yingqian Zhang
2025	J	`jnl`	Graph neural networks for job shop scheduling problems: A survey. Comput. Oper. Res. Igor G. Smit, Jianan Zhou, Robbert Reijnen, Yaoxin Wu, Jian Chen, Cong Zhang, Zaharah Bukhsh, Yingqian Zhang, Wim Nuijten
2025	A*	`conf`	Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization. ICML Robbert Reijnen, Yaoxin Wu, Zaharah Bukhsh, Yingqian Zhang
2025	J	`jnl`	Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization. CoRR Robbert Reijnen, Yaoxin Wu, Zaharah Bukhsh, Yingqian Zhang
2025	J	`jnl`	Offline reinforcement learning for learning to dispatch for job shop scheduling. Mach. Learn. Jesse van Remmerden, Zaharah Bukhsh, Yingqian Zhang
2025	A	`conf`	Search Trajectory Network-Enhanced Multi-Objective Dynamic Algorithm Configuration. ECAI Robbert Reijnen, Zaharah Bukhsh, Hoong Chuin Lau, Yaoxin Wu, Yingqian Zhang
2024	J	`jnl`	Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization. CoRR Jesse van Remmerden, Maurice Kenter, Diederik M. Roijers, Charalampos Andriotis, Yingqian Zhang, Zaharah Bukhsh
2024	J	`jnl`	Graph Neural Networks for Job Shop Scheduling Problems: A Survey. CoRR Igor G. Smit, Jianan Zhou, Robbert Reijnen, Yaoxin Wu, Jian Chen, Cong Zhang, Zaharah Bukhsh, Wim Nuijten, Yingqian Zhang
2024	J	`jnl`	Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling. CoRR Jesse van Remmerden, Zaharah Bukhsh, Yingqian Zhang
2024	J	`jnl`	Unsupervised Anomaly Detection Algorithms on Real-world Data: How Many Do We Need? J. Mach. Learn. Res. Roel Bouman, Zaharah Bukhsh, Tom Heskes
2023	J	`jnl`	Unsupervised anomaly detection algorithms on real-world data: how many do we need? CoRR Roel Bouman, Zaharah Bukhsh, Tom Heskes