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A. Vodencarevic · SciRah

Researcher profile · Semantic Scholar

A. Vodencarevic

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A. Vodencarevic — researcher profile on SciRah

h-index: 12
Works: 28
Citations: 581

Most-cited papers

Learning Behavior Models for Hybrid Timed Systems
O. Niggemann, Benno Stein, A. Maier, A. Vodencarevic +1 more
2012AAAI Conference on Artificial Intelligence98 citations Open access
Semantic Scholar
Prediction of Recurrent Ischemic Stroke Using Registry Data and Machine Learning Methods: The Erlangen Stroke Registry
A. Vodencarevic, Michael Weingärtner, J. J. Caro, D. Ukalovic +3 more
2022Stroke62 citations Open access
Semantic Scholar
Classification of Traumatic Brain Injury Severity Using Informed Data Reduction in a Series of Binary Classifier Algorithms
L. Prichep, Arnaud E. Jacquin, J. Filipenko, Samanwoy Ghosh Dastidar +3 more
2012IEEE transactions on neural systems and rehabilitation engineering59 citations
Semantic Scholar
Advanced machine learning for predicting individual risk of flares in rheumatoid arthritis patients tapering biologic drugs
A. Vodencarevic, K. Tascilar, F. Hartmann, M. Reiser +14 more
2021Arthritis Research & Therapy54 citations Open access
Semantic Scholar
Identifying behavior models for process plants
A. Vodencarevic, H. Buning, O. Niggemann, A. Maier
2011IEEE International Conference on Emerging Technologies and Factory Automation49 citations
Semantic Scholar
Anomaly Detection in Production Plants using Timed Automata - Automated Learning of Models from Observations
A. Maier, O. Niggemann, Roman Just, M. Jäger +1 more
2011International Conference on Informatics in Control, Automation and Robotics44 citations Open access
Semantic Scholar
Using behavior models for anomaly detection in hybrid systems
A. Vodencarevic, H. Buning, O. Niggemann, A. Maier
20112011 XXIII International Symposium on Information, Communication and Automation Technologies39 citations
Semantic Scholar
Data analytics for manufacturing systems
A. Vodencarevic, T. Fett
20152015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)34 citations
Semantic Scholar
Detecting anomalous energy consumptions in distributed manufacturing systems
S. Faltinski, Holger Flatt, Florian Pethig, Bjorn Kroll +3 more
2012IEEE 10th International Conference on Industrial Informatics33 citations Open access
Semantic Scholar
Stroke mortality prediction based on ensemble learning and the combination of structured and textual data
Rui-Xuan Huang, Jun-Dong Liu, Tsz-Kin Wan, Damrongrat Siriwanna +4 more
2022Comput. Biol. Medicine21 citations
Semantic Scholar
Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkers
T. Tulu, Tsz-Kin Wan, Ching-Long Chan, Chun-Hei Wu +5 more
2023BMC Digital Health17 citations Open access
Semantic Scholar
Identifying Predictors of COVID-19 Mortality Using Machine Learning
Tsz-Kin Wan, Rui Huang, T. Tulu, Jun-Dong Liu +3 more
2022Life13 citations Open access
Semantic Scholar
Predicting Flare Probability in Rheumatoid Arthritis using Machine Learning Methods
A. Vodencarevic, M. C. van der Goes, Oj Medina, M. D. de Groot +8 more
2018International Conference on Data Technologies and Applications12 citations Open access
Semantic Scholar
Konzepte und Anwendungsfälle für die intelligente Fabrik
O. Niggemann, J. Jasperneite, A. Vodencarevic
20147 citations
Semantic Scholar
Fighting the Modeling Bottleneck - Learning Models for Production Plants
O. Niggemann, A. Maier, A. Vodencarevic, B. Jantscher
2011Model-Based Development of Embedded Systems7 citations
Semantic Scholar
Predicting Treatment Outcomes in Patients With Psoriatic Arthritis or Axial Spondyloarthritis: An Artificial Intelligence–Driven Approach
A. Vodencarevic, Jan Brandt-Jürgens, Sara Bar, P. Kästner +7 more
2025Journal of Rheumatology6 citations
Semantic Scholar
Evaluating Learning Algorithms for Stochastic Finite Automata - Comparative Empirical Analyses on Learning Models for Technical Systems
A. Vodencarevic, A. Maier, O. Niggemann
2013International Conference on Pattern Recognition Applications and Methods6 citations Open access
Semantic Scholar
SAT0116 DYNAMIC PREDICTION OF FLARES IN RHEUMATOID ARTHRITIS USING JOINT MODELLING AND MACHINE LEARNING: SIMULATION OF CLINICAL IMPACT WHEN USED AS DECISION AID IN A DISEASE ACTIVITY GUIDED DOSE REDUCTION STRATEGY
P. Welsing, A. D. den Broeder, J. Tekstra, M. C. van der Goes +7 more
2019SATURDAY, 15 JUNE 20195 citations Open access
Semantic Scholar
Learning behavior models of hybrid systems using wavelets for autonomous jumps detection
A. Vodencarevic
2012IEEE 10th International Conference on Industrial Informatics4 citations
Semantic Scholar
SAT0055 PREDICTION OF FLARES FOR RHEUMATOID ARTHRITIS PATIENTS ON BIOLOGIC DMARDS USING MACHINE LEARNING AND SUBSETS OF VARIABLES AVAILABLE TO PHYSICIANS, PATIENTS AND PAYERS
A. Vodencarevic, K. Tascilar, F. Hartmann, M. Reiser +9 more
2020Annals of the Rheumatic Diseases3 citations Open access
Semantic Scholar
Dagstuhl-Workshop MBEES: Modellbasierte Entwicklung eingebetteter Systeme VII, Schloss Dagstuhl, Germany, 2011, Tagungsband Modellbasierte Entwicklung eingebetteter Systeme
M. Huhn, Tu Clausthal, Jan Philipps, Ag Bernhard Schätz +69 more
2011Model-Based Development of Embedded Systems2 citations
Semantic Scholar
OP0058 PREDICTION OF LOW DISEASE ACTIVITY IN PATIENTS WITH ANKYLOSING SPONDYLITIS TREATED WITH SECUKINUMAB IN REAL WORLD – DATA FROM THE GERMAN AQUILA STUDY
A. Vodencarevic, J. Brandt-Juergens, D. Peterlik, B. Gmeiner +1 more
2023Annals of the Rheumatic Diseases1 citations Open access
Semantic Scholar
Prediction of QT Prolongation in Advanced Breast Cancer Patients Using Survival Modelling Algorithms
A. Vodencarevic, J. Kreuzeder, A. Wöckel, P. Fasching
2023International Conference on Data Technologies and Applications1 citations Open access
Semantic Scholar
Abstract P4-01-05: Machine learning to predict treatment response and tolerability in HR+, HER2– advanced breast cancer: German study AI4ANNA
P. Fasching, A. Wöckel, H. Tesch, B. Volz +5 more
2023Cancer Research1 citations
Semantic Scholar
Modelling abrupt changes: enhanced learning of behaviour models for manufacturing systems
A. Vodencarevic
20131 citations
Semantic Scholar
Identifying behavior models for hybrid production systems
A. Vodencarevic
20131 citations
Semantic Scholar
POS1528 PREDICTION OF LOW DISEASE ACTIVITY IN PATIENTS WITH PSORIATIC ARTHRITIS TREATED WITH SECUKINUMAB IN REAL WORLD – DATA FROM THE GERMAN AQUILA STUDY
A. Vodencarevic, J. Brandt-Juergens, D. Peterlik, B. Gmeiner +1 more
2023Annals of the Rheumatic Diseases0 citations Open access
Semantic Scholar
Correction: Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkers
T. Tulu, Tsz-Kin Wan, Ching-Long Chan, Chun-Hei Wu +5 more
2023BMC Digital Health0 citations Open access
Semantic Scholar

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