Lejla Begic Fazlic

24 papers C 1Misc 1Journal 6Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Sustainable Software in Practice: A Use-Case-Oriented Tool for Exploring Sustainability Criteria. EnviroInfo Anas Abukhadijah, Lejla Begic Fazlic, Achim Guldner, Sebastian Weber, Sebastian Bast, Guido Dartmann, Stefan Naumann
2024	—	`conf`	Connect, Understand and Learn: Dynamic Knowledge Graph Transforms Learning. MIPRO Marlies Morgen, Lejla Begic Fazlic, Guido Dartmann
2024	—	`conf`	LLMs on the Edge: Quality, Latency, and Energy Efficiency. INFORMATIK Sebastian Bast, Lejla Begic Fazlic, Stefan Naumann, Guido Dartmann
2024	J	`jnl`	Spatial impulse response analysis and ensemble learning for efficient precision level sensing. Discov. Artif. Intell. Berkay Cetkin, Lejla Begic Fazlic, Kristof Ueding, Rüdiger Machhamer, Achim Guldner, Lars Creutz, Stefan Naumann, Guido Dartmann
2024	—	`conf`	Towards Sustainable Machine Learning: Analyzing Energy-Efficient Algorithmic Strategies for Environmental Sensor Data. INFORMATIK Berkay Cetkin, Lejla Begic Fazlic, Achim Guldner, Stefan Naumann, Guido Dartmann
2023	J	`jnl`	Exploring Adversarial Attacks on Neural Networks: An Explainable Approach. CoRR Justus Renkhoff, Wenkai Tan, Alvaro Velasquez, William Yichen Wang, Yongxin Liu, Jian Wang, Shuteng Niu, Lejla Begic Fazlic, Guido Dartmann, Houbing Song
2023	J	`jnl`	Likelihood-based Sensor Calibration for Expert-Supported Distributed Learning Algorithms in IoT Systems. CoRR 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
2023	—	`conf`	Sustainability in Artificial Intelligence - Towards a Green AI Reference Model. GI-Jahrestagung Sebastian Weber, Achim Guldner, Lejla Begic Fazlic, Guido Dartmann, Stefan Naumann
2022	—	`conf`	A Machine Learning Approach for Optimal Ventilation based on Data from CO2 Sensors. SDF Bastian Urschel, Lejla Begic Fazlic, Marlies Morgen, Rüdiger Machhamer, Guido Dartmann, Klaus-Uwe Gollmer
2022	J	`jnl`	A Novel Hybrid Methodology for Anomaly Detection in Time Series. Int. J. Comput. Intell. Syst. Lejla Begic Fazlic, Ahmed Halawa, Anke Schmeink, Robert Lipp, Lukas Martin, Arne Peine, Marlies Morgen, Thomas Vollmer, Stefan Winter, Guido Dartmann
2022	—	`conf`	A Visualization and Benchmarking Simulator for Clinical Data. pHealth Marlies Morgen, Lejla Begic Fazlic, Arne Peine, Lukas Martin, Anke Schmeink, Ahmed Hallawa, Guido Dartmann
2022	—	`conf`	Development and Implementation of the Data Science Learning Platform for Research Physician. pHealth Lejla Begic Fazlic, Marvin Schacht, Marlies Morgen, Anke Schmeink, Robert Lipp, Lukas Martin, Thomas Vollmer, Stefan Winter, Guido Dartmann
2022	C	`conf`	Exploring Adversarial Attacks on Neural Networks: An Explainable Approach. IPCCC Justus Renkhoff, Wenkai Tan, Alvaro Velasquez, William Yichen Wang, Yongxin Liu, Jian Wang, Shuteng Niu, Lejla Begic Fazlic, Guido Dartmann, Houbing Song
2021	J	`jnl`	Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care. npj Digit. Medicine 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
2021	Misc	`conf`	Estimation of Kinetic Parameters in Stochastic Biomedical Models Using Estimation Theory. SISY Lukas David Schuck, Robert Lipp, Lejla Begic Fazlic, Guido Dartmann, Anke Schmeink
2020	—	`conf`	A Machine Learning Approach for the Classification of Disease Risks in Time Series. MECO 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
2019	—	`conf`	A Novel NLP-FUZZY System Prototype for Information Extraction from Medical Guidelines. MIPRO Lejla Begic Fazlic, Ahmed Hallawa, Anke Schmeink, Arne Peine, Lukas Martin, Guido Dartmann
2019	J	`jnl`	Fuzzy System Based on Two-Step Cascade Genetic Optimization Strategy for Tobacco Tar Prediction. Int. J. Comput. Intell. Syst. Muamer Kafadar, Zikrija Avdagic, Lejla Begic Fazlic
2015	—	`conf`	GA-ANFIS Expert System Prototype for Prediction of Dermatological Diseases. MIE Lejla Begic Fazlic, Korana Avdagic, Samir Omanovic
2015	—	`conf`	GA-ANFIS expert system prototype for detection of tar content in the manufacturing process. MIPRO Lejla Begic Fazlic, Zikrija Avdagic, Ingmar Besic
2015	—	`conf`	Prediction of Heart Attack Risk Using GA-ANFIS Expert System Prototype. pHealth Lejla Begic Fazlic, Aja Avdagic, Ingmar Besic
2015	—	`conf`	Prediction of lung nicotine concentration based on novel GA-ANFIS system approach. ICAT Lejla Begic Fazlic, Aja Avdagic
2011	—	`conf`	Detection of Nicotine Content Impact in Tobacco Manufacturing Using Computational Intelligence. EFMI-STC Lejla Begic Fazlic, Zikrija Avdagic
2009	—	`conf`	Optimized Detection of Tar Content in the Manufacturing Process Using Adaptive Neuro-Fuzzy Inference Systems. MIE Zikrija Avdagic, Lejla Begic Fazlic, Samim Konjicija