Asmir Vodenčarević

Author

Asmir Vodenčarević

Ostwestfalen-Lippe University of Applied Sciences and Arts

Also Known As

A. Vodencarevic, Asmir Vodencarevic, Asmir Vodenčarević, on behalf of the RETRO study group

Publications

426

Citations

H-Index

Concepts

All Affiliations

Ostwestfalen-Lippe University of Applied Sciences and Arts Paderborn University Siemens Healthcare (Germany)

About

Asmir Vodenčarević is an author at Ostwestfalen-Lippe University of Applied Sciences and Arts specializing in engineering, systems engineering, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	292
2	Computer Engineering	2	2	75
3	Business	1	1	17
4	Management	1	1	46
5	Medicine	1	1	57

Asmir Vodenčarević

Publications

328

Citations

H-Index

Page 1

	Year	Citations
Learning Behavior Models for Hybrid Timed Systems Oliver Niggemann, Benno Stein, Asmir Vodenčarević, Proceedings of the AAAI Conference on Artificial Intelligence Anomaly DetectionMachine LearningEngineeringFault ForecastingComplex Systems	2021	84
Classification of Traumatic Brain Injury Severity Using Informed Data Reduction in a Series of Binary Classifier Algorithms Leslie S. Prichep, A. Jacquin, Julie Filipenko, IEEE Transactions on Neural Systems and Rehabilitation Engineering Traumatic Brain InjuryEngineeringMachine LearningDiagnosisHead Injury	2012	57
Identifying behavior models for process plants Asmir Vodenčarević, Hans Kleine Büning, Oliver Niggemann, Anomaly DetectionEngineeringBotanyFault ForecastingIntelligent Systems	2011	46
Using behavior models for anomaly detection in hybrid systems Asmir Vodenčarević, Hans Kleine Büning, Oliver Niggemann, Anomaly DetectionEngineeringVarious Anomaly DetectionSoftware EngineeringIntelligent Systems	2011	41
Prediction of Recurrent Ischemic Stroke Using Registry Data and Machine Learning Methods: The Erlangen Stroke Registry Asmir Vodenčarević, Michael Weingärtner, J. Jaime, Stroke	2022	36
Detecting anomalous energy consumptions in distributed manufacturing systems Sebastian Faltinski, Holger Flatt, Florian Pethig, Energy ConsumptionProduction PlantsEngineeringReal-time SamplingSmart Grid	2012	34
ANOMALY DETECTION IN PRODUCTION PLANTS USING TIMED AUTOMATA - Automated Learning of Models from Observations Alexander Maier, Oliver Niggemann, Roman Just, Artificial IntelligenceAnomaly DetectionEngineeringAutomation SystemsIntelligent Systems	2011	17
Predicting Flare Probability in Rheumatoid Arthritis using Machine Learning Methods Asmir Vodenčarević, Marlies C. van der Goes, O’Jay A. G. Medina, Data ClassificationEngineeringMachine LearningData ScienceData Mining	2018	13

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