| 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 | 65 | 2021 |
| 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 | 18 | 2019 |
| GA-ANFIS expert system prototype for prediction of dermatological diseases L Begic Fazlic, K Avdagic, S Omanovic Digital Healthcare Empowering Europeans, 622-626, 2015 | 18 | 2015 |
| 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 | 14 | 2019 |
| GA-ANFIS expert system prototype for detection of tar content in the manufacturing process LB Fazlic, Z Avdagic, I Besic 2015 38th International Convention on Information and Communication …, 2015 | 10 | 2015 |
| 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 | 5 | 2022 |
| 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 | 5 | 2020 |
| Optimized detection of tar content in the manufacturing process using adaptive neuro-fuzzy inference systems Z Avdagic, L Begic Fazlic, S Konjicija Medical Informatics in a United and Healthy Europe, 615-619, 2009 | 5 | 2009 |
| Automatic Detection of CO Content in Smoke condensate using adaptive neuro-fuzzy inference systems Z Avdagić, L Begić-Fazlić, H Fatkić criterion 1, 2, 2007 | 5 | 2007 |
| Exploring adversarial attacks on neural networks: An explainable approach J Renkhoff, W Tan, A Velasquez, WY Wang, Y Liu, J Wang, S Niu, ... 2022 IEEE International Performance, Computing, and Communications …, 2022 | 3 | 2022 |
| A Novel Hybrid Methodology for Anomaly Detection in Time Series L Begic Fazlic, A Halawa, A Schmeink, R Lipp, L Martin, A Peine, ... International Journal of Computational Intelligence Systems 15 (1), 50, 2022 | 2 | 2022 |
| Incremental parameter estimation of stochastic state-based models R Lipp, A Schmeink, G Dartmann, L Fazlic, T Vollmer, S Winter, A Peine, ... 2021 IEEE 19th World Symposium on Applied Machine Intelligence and …, 2021 | 2 | 2021 |
| Prediction of lung nicotine concentration based on novel GA-ANFIS system approach LB Fazlic, A Avdagic 2015 XXV International Conference on Information, Communication and …, 2015 | 2 | 2015 |
| Prediction of Heart Attack Risk Using GA-ANFIS Expert System Prototype. LB Fazlic, A Avdagic, I Besic pHealth, 292-294, 2015 | 2 | 2015 |
| Detection of nicotine content impact in tobacco manufacturing using computational intelligence L Begic Fazlic, Z Avdagic e-Health Across Borders Without Boundaries, 37-42, 2011 | 2 | 2011 |
| Automatic detection of dermatological diseases using Adaptive Neuro Fuzzy Inference Systems Z Avdagic, LB Fazlic, H Fatkic Acta Informatica Medica 15 (2), p89, 2007 | 2 | 2007 |
| Development and Implementation of the Data Science Learning Platform for Research Physician L Begic Fazlic, M Schacht, M Morgen, A Schmeink, R Lipp, L Martin, ... pHealth 2022, 196-201, 2022 | 1 | 2022 |
| Likelihood-based Sensor Calibration using Affine Transformation R Machhamer, LB Fazlic, E Guven, D Junk, GK Kurt, S Naumann, S Didas, ... IEEE Sensors Journal, 2023 | | 2023 |
| Likelihood-based Sensor Calibration for Expert-Supported Distributed Learning Algorithms in IoT Systems R Machhamer, LB Fazlic, E Guven, D Junk, GK Kurt, S Naumann, S Didas, ... arXiv preprint arXiv:2309.11526, 2023 | | 2023 |
| Sustainability in Artificial Intelligence-Towards a Green AI Reference Model S Weber, A Guldner, L Begic Fazlic, G Dartmann, S Naumann Gesellschaft für Informatik eV, 2023 | | 2023 |
