Lejla Begic Fazlic

According to our database, Lejla Begic Fazlic authored at least 18 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Likelihood-based Sensor Calibration for Expert-Supported Distributed Learning Algorithms in IoT Systems.

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

CoRR, 2023

Sustainability in Artificial Intelligence - Towards a Green AI Reference Model.

Sebastian Weber, Achim Guldner, Lejla Begic Fazlic, Guido Dartmann, Stefan Naumann

Proceedings of the 53. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2023, Designing Future, 2023

2022

A Novel Hybrid Methodology for Anomaly Detection in Time Series.

Lejla Begic Fazlic, Ahmed Halawa, Anke Schmeink, Robert Lipp, Lukas Martin, Arne Peine, Marlies Morgen, Thomas Vollmer, Stefan Winter, Guido Dartmann

Int. J. Comput. Intell. Syst., 2022

A Machine Learning Approach for Optimal Ventilation based on Data from CO2 Sensors.

Bastian Urschel, Lejla Begic Fazlic, Marlies Morgen, Rüdiger Machhamer, Guido Dartmann, Klaus-Uwe Gollmer

Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2022

A Visualization and Benchmarking Simulator for Clinical Data.

Marlies Morgen, Lejla Begic Fazlic, Arne Peine, Lukas Martin, Anke Schmeink, Ahmed Hallawa, Guido Dartmann

Proceedings of the pHealth 2022 - Proceedings of the 19th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2022

Development and Implementation of the Data Science Learning Platform for Research Physician.

Lejla Begic Fazlic, Marvin Schacht, Marlies Morgen, Anke Schmeink, Robert Lipp, Lukas Martin, Thomas Vollmer, Stefan Winter, Guido Dartmann

Proceedings of the pHealth 2022 - Proceedings of the 19th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2022

Exploring Adversarial Attacks on Neural Networks: An Explainable Approach.

Justus Renkhoff, Wenkai Tan, Alvaro Velasquez, William Yichen Wang, Yongxin Liu, Jian Wang, Shuteng Niu, Lejla Begic Fazlic, Guido Dartmann, Houbing Song

Proceedings of the IEEE International Performance, 2022

2021

Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care.

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

npj Digit. Medicine, 2021

Estimation of Kinetic Parameters in Stochastic Biomedical Models Using Estimation Theory.

Lukas David Schuck, Robert Lipp, Lejla Begic Fazlic, Guido Dartmann, Anke Schmeink

Proceedings of the 19th IEEE International Symposium on Intelligent Systems and Informatics, 2021

2020

A Machine Learning Approach for the Classification of Disease Risks in Time Series.

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

Proceedings of the 9th Mediterranean Conference on Embedded Computing, 2020

2019

Fuzzy System Based on Two-Step Cascade Genetic Optimization Strategy for Tobacco Tar Prediction.

Muamer Kafadar, Zikrija Avdagic, Lejla Begic Fazlic

Int. J. Comput. Intell. Syst., 2019

A Novel NLP-FUZZY System Prototype for Information Extraction from Medical Guidelines.

Lejla Begic Fazlic, Ahmed Hallawa, Anke Schmeink, Arne Peine, Lukas Martin, Guido Dartmann

Proceedings of the 42nd International Convention on Information and Communication Technology, 2019

2015

Prediction of Heart Attack Risk Using GA-ANFIS Expert System Prototype.

Lejla Begic Fazlic, Aja Avdagic, Ingmar Besic

Proceedings of the pHealth 2015, 2015

GA-ANFIS expert system prototype for detection of tar content in the manufacturing process.

Lejla Begic Fazlic, Zikrija Avdagic, Ingmar Besic

Proceedings of the 38th International Convention on Information and Communication Technology, 2015

GA-ANFIS Expert System Prototype for Prediction of Dermatological Diseases.

Lejla Begic Fazlic, Korana Avdagic, Samir Omanovic

Proceedings of the Digital Healthcare Empowering Europeans, 2015

Prediction of lung nicotine concentration based on novel GA-ANFIS system approach.

Lejla Begic Fazlic, Aja Avdagic

Proceedings of the XXV International Conference on Information, 2015

2011

Detection of Nicotine Content Impact in Tobacco Manufacturing Using Computational Intelligence.

Lejla Begic Fazlic, Zikrija Avdagic

Proceedings of the e-Health Across Borders Without Boundaries - E-salus trans confinia sine finibus, 2011

2009

Optimized Detection of Tar Content in the Manufacturing Process Using Adaptive Neuro-Fuzzy Inference Systems.

Zikrija Avdagic, Lejla Begic Fazlic, Samim Konjicija

Proceedings of the Medical Informatics in a United and Healthy Europe - Proceedings of MIE 2009, The XXIInd International Congress of the European Federation for Medical Informatics, Sarajevo, Bosnia and Herzegovina, August 30, 2009