Optimized Detection of Tar Content in the Manufacturing Process Using Adaptive Neuro-Fuzzy Inference Systems. - Zikrija Avdagic; Lejla Begic Fazlic; Samim Konjicija (MIE, 2009)

Detection of Nicotine Content Impact in Tobacco Manufacturing Using Computational Intelligence. - Lejla Begic Fazlic; Zikrija Avdagic (EFMI-STC, 2011)

Prediction of lung nicotine concentration based on novel GA-ANFIS system approach. - Lejla Begic Fazlic; Aja Avdagic (ICAT, 2015)

GA-ANFIS Expert System Prototype for Prediction of Dermatological Diseases. - Lejla Begic Fazlic; Korana Avdagic; Samir Omanovic (MIE, 2015)

GA-ANFIS expert system prototype for detection of tar content in the manufacturing process. - Lejla Begic Fazlic; Zikrija Avdagic; Ingmar Besic (MIPRO, 2015)

Prediction of Heart Attack Risk Using GA-ANFIS Expert System Prototype. - Lejla Begic Fazlic; Aja Avdagic; Ingmar Besic (pHealth, 2015)

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 (MIPRO, 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 Machine Learning Approach for the Classification of Disease Risks in Time Series. - Lejla Begic Fazlic; Ahmed Hallawa; Matthias Dziubany; Marlies Morgen; Jens Schneider 003; Marvin Schacht; Anke Schmeink; Lukas Martin; Arne Peine; Thomas Vollmer; Stefan Winter 002; Guido Dartmann (MECO, 2020)

Estimation of Kinetic Parameters in Stochastic Biomedical Models Using Estimation Theory. - Lukas David Schuck; Robert Lipp; Lejla Begic Fazlic; Guido Dartmann; Anke Schmeink (SISY, 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; et al. (npj Digit. Medicine, 2021)

Exploring Adversarial Attacks on Neural Networks: An Explainable Approach. - Justus Renkhoff; Wenkai Tan; Alvaro Velasquez; William Yichen Wang; Yongxin Liu; Jian Wang 061; Shuteng Niu; Lejla Begic Fazlic; Guido Dartmann; Houbing Song (IPCCC, 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 002; Guido Dartmann (pHealth, 2022)

A Visualization and Benchmarking Simulator for Clinical Data. - Marlies Morgen; Lejla Begic Fazlic; Arne Peine; Lukas Martin; Anke Schmeink; Ahmed Hallawa; Guido Dartmann (pHealth, 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 (SDF, 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 002; Guido Dartmann (Int. J. Comput. Intell. Syst., 2022)

Sustainability in Artificial Intelligence - Towards a Green AI Reference Model. - Sebastian Weber 001; Achim Guldner; Lejla Begic Fazlic; Guido Dartmann; Stefan Naumann (GI-Jahrestagung, 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)

LLMs on the Edge: Quality, Latency, and Energy Efficiency. - Sebastian Bast; Lejla Begic Fazlic; Stefan Naumann; Guido Dartmann (INFORMATIK, 2024)

Towards Sustainable Machine Learning: Analyzing Energy-Efficient Algorithmic Strategies for Environmental Sensor Data. - Berkay Cetkin; Lejla Begic Fazlic; Achim Guldner; Stefan Naumann; Guido Dartmann (INFORMATIK, 2024)

Connect, Understand and Learn: Dynamic Knowledge Graph Transforms Learning. - Marlies Morgen; Lejla Begic Fazlic; Guido Dartmann (MIPRO, 2024)

Spatial impulse response analysis and ensemble learning for efficient precision level sensing. - Berkay Cetkin; Lejla Begic Fazlic; Kristof Ueding; Rüdiger Machhamer; Achim Guldner; Lars Creutz; Stefan Naumann; Guido Dartmann (Discov. Artif. Intell., 2024)