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ORCIDLejla Begic Fazlic
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2020 – today
- 2024
[j4]Berkay Cetkin
, Lejla Begic Fazlic, Kristof Ueding, Rüdiger Machhamer, Achim Guldner, Lars Creutz, Stefan Naumann, Guido Dartmann:
Spatial impulse response analysis and ensemble learning for efficient precision level sensing. Discov. Artif. Intell. 4(1): 63 (2024)- [c17]Berkay Cetkin, Lejla Begic Fazlic, Achim Guldner, Stefan Naumann, Guido Dartmann:
Towards Sustainable Machine Learning: Analyzing Energy-Efficient Algorithmic Strategies for Environmental Sensor Data. INFORMATIK 2024: 1155-1164 - [c16]Sebastian Bast, Lejla Begic Fazlic, Stefan Naumann, Guido Dartmann:
LLMs on the Edge: Quality, Latency, and Energy Efficiency. INFORMATIK 2024: 1183-1192 - [c15]Marlies Morgen, Lejla Begic Fazlic, Guido Dartmann:
Connect, Understand and Learn: Dynamic Knowledge Graph Transforms Learning. MIPRO 2024: 235-240 - 2023
- [c14]Sebastian Weber, Achim Guldner, Lejla Begic Fazlic, Guido Dartmann, Stefan Naumann:
Sustainability in Artificial Intelligence - Towards a Green AI Reference Model. GI-Jahrestagung 2023: 1503-1514 - [i2]Justus Renkhoff, Wenkai Tan, Alvaro Velasquez, William Yichen Wang, Yongxin Liu, Jian Wang, Shuteng Niu, Lejla Begic Fazlic, Guido Dartmann, Houbing Song:
Exploring Adversarial Attacks on Neural Networks: An Explainable Approach. CoRR abs/2303.06032 (2023) - [i1]Rüdiger Machhamer, Lejla Begic Fazlic, Eray Guven, David Junk, Gunes Karabulut-Kurt, Stefan Naumann, Stephan Didas, Klaus-Uwe Gollmer, Ralph Bergmann, Ingo J. Timm, Guido Dartmann:
Likelihood-based Sensor Calibration for Expert-Supported Distributed Learning Algorithms in IoT Systems. CoRR abs/2309.11526 (2023) - 2022
- [j3]Lejla Begic Fazlic, Ahmed Halawa, Anke Schmeink, Robert Lipp, Lukas Martin, Arne Peine, Marlies Morgen, Thomas Vollmer, Stefan Winter, Guido Dartmann:
A Novel Hybrid Methodology for Anomaly Detection in Time Series. Int. J. Comput. Intell. Syst. 15(1): 50 (2022) - [c13]Justus Renkhoff, Wenkai Tan, Alvaro Velasquez, William Yichen Wang, Yongxin Liu, Jian Wang, Shuteng Niu, Lejla Begic Fazlic, Guido Dartmann, Houbing Song:
Exploring Adversarial Attacks on Neural Networks: An Explainable Approach. IPCCC 2022: 41-42 - [c12]Lejla Begic Fazlic, Marvin Schacht, Marlies Morgen, Anke Schmeink, Robert Lipp, Lukas Martin, Thomas Vollmer, Stefan Winter, Guido Dartmann:
Development and Implementation of the Data Science Learning Platform for Research Physician. pHealth 2022: 196-201 - [c11]Marlies Morgen, Lejla Begic Fazlic, Arne Peine, Lukas Martin, Anke Schmeink, Ahmed Hallawa, Guido Dartmann:
A Visualization and Benchmarking Simulator for Clinical Data. pHealth 2022: 223-228 - [c10]Bastian Urschel, Lejla Begic Fazlic, Marlies Morgen, Rüdiger Machhamer, Guido Dartmann, Klaus-Uwe Gollmer:
A Machine Learning Approach for Optimal Ventilation based on Data from CO2 Sensors. SDF 2022: 1-6 - 2021
- [j2]Arne Peine, Ahmed Hallawa, Johannes Bickenbach, Guido Dartmann, Lejla Begic Fazlic, Anke Schmeink, Gerd Ascheid, Christoph Thiemermann, Andreas Schuppert, Ryan Kindle, Leo A. Celi, Gernot Marx, Lukas Martin:
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care. npj Digit. Medicine 4 (2021) - [c9]Lukas David Schuck, Robert Lipp, Lejla Begic Fazlic, Guido Dartmann, Anke Schmeink:
Estimation of Kinetic Parameters in Stochastic Biomedical Models Using Estimation Theory. SISY 2021: 15-20 - 2020
- [c8]Lejla Begic Fazlic, Ahmed Hallawa, Matthias Dziubany, Marlies Morgen, Jens Schneider, Marvin Schacht, Anke Schmeink, Lukas Martin, Arne Peine, Thomas Vollmer, Stefan Winter, Guido Dartmann:
A Machine Learning Approach for the Classification of Disease Risks in Time Series. MECO 2020: 1-5
2010 – 2019
- 2019
- [j1]Muamer Kafadar, Zikrija Avdagic, Lejla Begic Fazlic:
Fuzzy System Based on Two-Step Cascade Genetic Optimization Strategy for Tobacco Tar Prediction. Int. J. Comput. Intell. Syst. 12(2): 1497-1511 (2019) - [c7]Lejla Begic Fazlic, Ahmed Hallawa, Anke Schmeink, Arne Peine, Lukas Martin, Guido Dartmann:
A Novel NLP-FUZZY System Prototype for Information Extraction from Medical Guidelines. MIPRO 2019: 1025-1030 - 2015
- [c6]Lejla Begic Fazlic, Aja Avdagic:
Prediction of lung nicotine concentration based on novel GA-ANFIS system approach. ICAT 2015: 1-6 - [c5]Lejla Begic Fazlic, Korana Avdagic, Samir Omanovic:
GA-ANFIS Expert System Prototype for Prediction of Dermatological Diseases. MIE 2015: 622-626 - [c4]Lejla Begic Fazlic, Zikrija Avdagic, Ingmar Besic:
GA-ANFIS expert system prototype for detection of tar content in the manufacturing process. MIPRO 2015: 1194-1199 - [c3]Lejla Begic Fazlic, Aja Avdagic, Ingmar Besic:
Prediction of Heart Attack Risk Using GA-ANFIS Expert System Prototype. pHealth 2015: 292-294 - 2011
- [c2]Lejla Begic Fazlic, Zikrija Avdagic:
Detection of Nicotine Content Impact in Tobacco Manufacturing Using Computational Intelligence. EFMI-STC 2011: 37-42
2000 – 2009
- 2009
- [c1]Zikrija Avdagic, Lejla Begic Fazlic, Samim Konjicija:
Optimized Detection of Tar Content in the Manufacturing Process Using Adaptive Neuro-Fuzzy Inference Systems. MIE 2009: 615-619
Coauthor Index
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