| Big data analytics for cyber-physical systems: machine learning for the internet of things G Dartmann, HH Song, A Schmeink Elsevier, 2019 | 155 | 2019 |
| Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care A Peine, A Hallawa, J Bickenbach, G Dartmann, LB Fazlic, A Schmeink, ... NPJ digital medicine 4 (1), 32, 2021 | 104 | 2021 |
| Challenging the security of logic locking schemes in the era of deep learning: A neuroevolutionary approach D Sisejkovic, F Merchant, LM Reimann, H Srivastava, A Hallawa, ... ACM Journal on Emerging Technologies in Computing Systems (JETC) 17 (3), 1-26, 2021 | 81 | 2021 |
| Localization-driven speech enhancement in noisy multi-speaker hospital environments using deep learning and meta learning M Barhoush, A Hallawa, A Peine, L Martin, A Schmeink IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 670-683, 2022 | 21 | 2022 |
| EVO-RL: Evolutionary-Driven Reinforcement Learning A Hallawa, T Born, A Schmeink, G Dartmann, A Peine, L Martin, G Iacca, ... arXiv preprint arXiv:2007.04725, 2020 | 21 | 2020 |
| A novel NLP-fuzzy system prototype for information extraction from medical guidelines LB Fazlic, A Hallawa, A Schmeink, A Peine, L Martin, G Dartmann 2019 42nd International Convention on Information and Communication …, 2019 | 21 | 2019 |
| Flexible, self-adaptive sense-and-compress SoC for sub-microWatt always-on sensory recording J De Roose, H Xin, A Hallawa, G Ascheid, PJA Harpe, M Verhelst IEEE Solid-State Circuits Letters 3, 362-365, 2020 | 19 | 2020 |
| Morphological evolution for pipe inspection using Robot Operating System (ROS) A Hallawa, G Iacca, C Sariman, T Rahman, M Cochez, G Ascheid Materials and Manufacturing Processes 35 (6), 714-724, 2020 | 17 | 2020 |
| A deep learning approach for managing medical consumable materials in intensive care units via convolutional neural networks: technical proof-of-concept study A Peine, A Hallawa, O Schöffski, G Dartmann, LB Fazlic, A Schmeink, ... JMIR medical informatics 7 (4), e14806, 2019 | 15 | 2019 |
| Evolving instinctive behaviour in resource-constrained autonomous agents using grammatical evolution A Hallawa, S Schug, G Iacca, G Ascheid Applications of Evolutionary Computation: 23rd European Conference …, 2020 | 13 | 2020 |
| Presenting the ECO: evolutionary computation ontology A Yaman, A Hallawa, M Coler, G Iacca Applications of Evolutionary Computation: 20th European Conference …, 2017 | 13 | 2017 |
| Speaker identification and localization using shuffled MFCC features and deep learning M Barhoush, A Hallawa, A Schmeink International Journal of Speech Technology 26 (1), 185-196, 2023 | 12 | 2023 |
| A Heuristic for Multi Objective Software Application Mappings on Heterogeneous MPSoCs G Onnebrink, A Hallawa, R Leupers, G Ascheid, A Shaheen Proceedings of the Asia South Pacific Design Automation Conference (ASP-DAC), 2019 | 12 | 2019 |
| Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical-In silico Approach Combining In vitro Experiments and Machine Learning E Zechendorf, P Vaßen, J Zhang, A Hallawa, A Martincuks, O Krenkel, ... Frontiers in Immunology 9, 393, 2018 | 10 | 2018 |
| Two-stage visual speech recognition for intensive care patients H Laux, A Hallawa, JCS Assis, A Schmeink, L Martin, A Peine Scientific Reports 13 (1), 928, 2023 | 9 | 2023 |
| Predicting abnormalities in laboratory values of patients in the intensive care unit using different deep learning models: comparative study A Ayad, A Hallawa, A Peine, L Martin, LB Fazlic, G Dartmann, G Marx, ... JMIR medical informatics 10 (8), e37658, 2022 | 7 | 2022 |
| Robust automatic speaker identification system using shuffled MFCC features M Barhoush, A Hallawa, A Schmeink 2021 IEEE International Conference on Machine Learning and Applied Network …, 2021 | 7 | 2021 |
| Instinct-driven Dynamic Hardware Reconfiguration: Evolutionary Algorithm Optimized Compression for Autonomous Sensory Agents A Hallawa, J De Roose, M Andraud, M Verhelst, G Ascheid Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 7 | 2017 |
| A machine learning approach for the classification of disease risks in time series LB Fazlic, A Hallawa, M Dziubany, M Morgen, J Schneider, M Schacht, ... 2020 9th Mediterranean Conference on Embedded Computing (MECO), 1-5, 2020 | 6 | 2020 |
| Evolutionary Algorithm Optimized Centralized Offline Localization and Mapping S Schlupkothen, A Hallawa, G Ascheid International Conference on Computing, Networking and Communications (ICNC), 2018 | 6 | 2018 |
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