Noor H. Awad - RankMe

50 papers A* 4B 11Journal 31Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Llama walks into the 'Bar': Efficient Supervised Fine-Tuning for Legal Reasoning in the Multi-state Bar Exam. CoRR Rean Fernandes, André Biedenkapp, Frank Hutter, Noor H. Awad
2025	A*	`conf`	FairPFN: A Tabular Foundation Model for Causal Fairness. ICML Jake Robertson, Noah Hollmann, Samuel Müller, Noor H. Awad, Frank Hutter
2025	J	`jnl`	FairPFN: A Tabular Foundation Model for Causal Fairness. CoRR Jake Robertson, Noah Hollmann, Samuel Müller, Noor H. Awad, Frank Hutter
2025	J	`jnl`	Meta-learning Population-based Methods for Reinforcement Learning. Trans. Mach. Learn. Res. Johannes Hog, Raghu Rajan, André Biedenkapp, Noor H. Awad, Frank Hutter, Vu Nguyen
2024	—	`conf`	A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes. AIES (1) Jake Robertson, Thorsten Schmidt, Frank Hutter, Noor H. Awad
2024	J	`jnl`	A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes. CoRR Jake Robertson, Thorsten Schmidt, Frank Hutter, Noor H. Awad
2024	J	`jnl`	CANDID DAC: Leveraging Coupled Action Dimensions with Importance Differences in DAC. CoRR Philipp Bordne, M. Asif Hasan, Eddie Bergman, Noor H. Awad, André Biedenkapp
2024	J	`jnl`	Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML. J. Artif. Intell. Res. Hilde J. P. Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor H. Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter
2024	J	`jnl`	FairPFN: Transformers Can do Counterfactual Fairness. CoRR Jake Robertson, Noah Hollmann, Noor H. Awad, Frank Hutter
2024	J	`jnl`	Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning. CoRR Tidiane Camaret Ndir, André Biedenkapp, Noor H. Awad
2023	J	`jnl`	Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML. CoRR Hilde J. P. Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor H. Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter
2023	J	`jnl`	MO-DEHB: Evolutionary-based Hyperband for Multi-Objective Optimization. CoRR Noor H. Awad, Ayushi Sharma, Philipp Muller, Janek Thomas, Frank Hutter
2023	A*	`conf`	Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator. IJCAI Shuhei Watanabe, Noor H. Awad, Masaki Onishi, Frank Hutter
2022	J	`jnl`	Automated Dynamic Algorithm Configuration. CoRR Steven Adriaensen, André Biedenkapp, Gresa Shala, Noor H. Awad, Theresa Eimer, Marius Lindauer, Frank Hutter
2022	J	`jnl`	Automated Dynamic Algorithm Configuration. J. Artif. Intell. Res. Steven Adriaensen, André Biedenkapp, Gresa Shala, Noor H. Awad, Theresa Eimer, Marius Lindauer, Frank Hutter
2022	J	`jnl`	Multi-objective Tree-structured Parzen Estimator Meets Meta-learning. CoRR Shuhei Watanabe, Noor H. Awad, Masaki Onishi, Frank Hutter
2021	A*	`conf`	DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization. IJCAI Noor H. Awad, Neeratyoy Mallik, Frank Hutter
2021	J	`jnl`	DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization. CoRR Noor H. Awad, Neeratyoy Mallik, Frank Hutter
2021	—	`conf`	HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO. NeurIPS Datasets and Benchmarks Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, René Sass, Aaron Klein, Noor H. Awad, Marius Lindauer, Frank Hutter
2021	J	`jnl`	HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO. CoRR Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, René Sass, Aaron Klein, Noor H. Awad, Marius Lindauer, Frank Hutter
2020	J	`jnl`	Differential Evolution for Neural Architecture Search. CoRR Noor H. Awad, Neeratyoy Mallik, Frank Hutter
2020	B	`conf`	Evaluating the Performance of Adaptive GainingSharing Knowledge Based Algorithm on CEC 2020 Benchmark Problems. CEC Ali Wagdy Mohamed, Anas A. Hadi, Ali Khater Mohamed, Noor H. Awad
2020	—	`conf`	Learning Step-Size Adaptation in CMA-ES. PPSN (1) Gresa Shala, André Biedenkapp, Noor H. Awad, Steven Adriaensen, Marius Lindauer, Frank Hutter
2020	J	`jnl`	Squirrel: A Switching Hyperparameter Optimizer. CoRR Noor H. Awad, Gresa Shala, Difan Deng, Neeratyoy Mallik, Matthias Feurer, Katharina Eggensperger, André Biedenkapp, Diederick Vermetten, Hao Wang, Carola Doerr, Marius Lindauer, Frank Hutter
2019	A*	`conf`	An Evolution Strategy with Progressive Episode Lengths for Playing Games. IJCAI Lior Fuks, Noor H. Awad, Frank Hutter, Marius Lindauer
2019	J	`jnl`	An efficient Differential Evolution algorithm for stochastic OPF based active-reactive power dispatch problem considering renewable generators. Appl. Soft Comput. Noor H. Awad, Mostafa Z. Ali, Rammohan Mallipeddi, Ponnuthurai N. Suganthan
2019	J	`jnl`	Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control. CoRR Jörg K. H. Franke, Gregor Köhler, Noor H. Awad, Frank Hutter
2018	J	`jnl`	A balanced fuzzy Cultural Algorithm with a modified Levy flight search for real parameter optimization. Inf. Sci. Mostafa Z. Ali, Noor H. Awad, Robert G. Reynolds, Ponnuthurai N. Suganthan
2018	J	`jnl`	An improved class of real-coded Genetic Algorithms for numerical optimization Neurocomputing Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan, Ali M. Shatnawi, Robert G. Reynolds
2018	J	`jnl`	An improved differential evolution algorithm using efficient adapted surrogate model for numerical optimization. Inf. Sci. Noor H. Awad, Mostafa Z. Ali, Rammohan Mallipeddi, Ponnuthurai N. Suganthan
2018	B	`conf`	Differential Evolution with Stochastic Selection for Uncertain Environments: A Smart Grid Application. CEC Vikas Palakonda, Noor H. Awad, Rammohan Mallipeddi, Mostafa Z. Ali, Kalyana C. Veluvolu, Ponnuthurai N. Suganthan
2018	J	`jnl`	Ensemble of parameters in a sinusoidal differential evolution with niching-based population reduction. Swarm Evol. Comput. Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan
2017	B	`conf`	A novel differential crossover strategy based on covariance matrix learning with Euclidean neighborhood for solving real-world problems. CEC Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds, Ali M. Shatnawi
2017	J	`jnl`	An Adaptive Multipopulation Differential Evolution With Dynamic Population Reduction. IEEE Trans. Cybern. Mostafa Z. Ali, Noor H. Awad, Ponnuthurai Nagaratnam Suganthan, Robert G. Reynolds
2017	J	`jnl`	CADE: A hybridization of Cultural Algorithm and Differential Evolution for numerical optimization. Inf. Sci. Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds
2017	B	`conf`	Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems. CEC Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan
2017	B	`conf`	Minimizing THD of multilevel inverters with optimal values of DC voltages and switching angles using LSHADE-EpSin algorithm. CEC Partha P. Biswas, Noor H. Awad, Ponnuthurai N. Suganthan, Mostafa Z. Ali, Gehan A. J. Amaratunga
2017	J	`jnl`	Multi-objective differential evolution based on normalization and improved mutation strategy. Nat. Comput. Noor H. Awad, Mostafa Z. Ali, Rehab M. Duwairi
2016	J	`jnl`	A decremental stochastic fractal differential evolution for global numerical optimization. Inf. Sci. Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Edward Jaser
2016	J	`jnl`	A modified cultural algorithm with a balanced performance for the differential evolution frameworks. Knowl. Based Syst. Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan, Robert G. Reynolds
2016	J	`jnl`	A novel hybrid Cultural Algorithms framework with trajectory-based search for global numerical optimization. Inf. Sci. Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan, Rehab M. Duwairi, Robert G. Reynolds
2016	B	`conf`	An ensemble sinusoidal parameter adaptation incorporated with L-SHADE for solving CEC2014 benchmark problems. CEC Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds
2016	B	`conf`	Differential evolution with stochastic fractal search algorithm for global numerical optimization. CEC Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Edward Jaser
2015	B	`conf`	A Differential Evolution algorithm with success-based parameter adaptation for CEC2015 learning-based optimization. CEC Noor H. Awad, Mostafa Z. Ali, Robert G. Reynolds
2015	B	`conf`	Cluster-Based Differential Evolution with Heterogeneous Influence for numerical optimization. CEC Mostafa Z. Ali, Noor H. Awad, Rehab Duwairi, Jafar Albadarneh, Robert G. Reynolds, Ponnuthurai N. Suganthan
2015	J	`jnl`	Multi-population differential evolution with balanced ensemble of mutation strategies for large-scale global optimization. Appl. Soft Comput. Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan
2014	J	`jnl`	A novel class of niche hybrid Cultural Algorithms for continuous engineering optimization. Inf. Sci. Mostafa Z. Ali, Noor H. Awad
2014	—	`conf`	Balancing search direction in cultural algorithm for enhanced global numerical optimization. SIS Mostafa Z. Ali, Noor H. Awad, Robert G. Reynolds
2013	B	`conf`	Cultural Algorithm with improved local search for optimization problems. IEEE Congress on Evolutionary Computation Noor H. Awad, Mostafa Z. Ali, Rehab M. Duwairi
2013	B	`conf`	Hybrid niche Cultural Algorithm for numerical global optimization. IEEE Congress on Evolutionary Computation Mostafa Z. Ali, Noor H. Awad, Robert G. Reynolds