Clemens Heistracher

14 papers B 2C 3Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Federated Learning for Anomaly Detection in Maritime Movement Data. CoRR Anita Graser, Axel Weißenfeld, Clemens Heistracher, Melitta Dragaschnig, Peter Widhalm
2024	B	`conf`	Federated Learning for Anomaly Detection in Maritime Movement Data. MDM Anita Graser, Axel Weissenfeld, Clemens Heistracher, Melitta Dragaschnig, Peter Widhalm
2023	C	`conf`	An Edge Deployment Framework to Scale AI in Industrial Applications. ICFEC Jana Kemnitz, Axel Weissenfeld, Leopold Schoeffl, Andreas Stiftinger, Daniel Rechberger, Bernhard Prangl, Thomas Kaufmann, Thomas Hiessl, Stephanie Holly, Clemens Heistracher, Daniel Schall
2023	J	`jnl`	Federated Learning for Predictive Maintenance and Quality Inspection in Industrial Applications. CoRR Viktorija Pruckovskaja, Axel Weissenfeld, Clemens Heistracher, Anita Graser, Julia Kafka, Peter Leputsch, Daniel Schall, Jana Kemnitz
2023	B	`conf`	MobiSpaces: An Architecture for Energy-Efficient Data Spaces for Mobility Data. IEEE Big Data Christos Doulkeridis, Georgios M. Santipantakis, Nikolaos Koutroumanis, George Makridis, Vasilis Koukos, George S. Theodoropoulos, Yannis Theodoridis, Dimosthenis Kyriazis, Pavlos Kranas, Diego Burgos, Ricardo Jiménez-Peris, Mariana M. G. Duarte, Mahmoud Attia Sakr, Esteban Zimányi, Anita Graser, Clemens Heistracher, Kristian Torp, Ioannis Chrysakis, Theofanis Orphanoudakis, Evgenia Kapassa, Marios Touloupou, Jürgen Neises, Petros Petrou, Sophia Karagiorgou, Rosario Catelli, Domenico Messina, Marcelo Corrales Compagnucci, Matteo Falsetta
2023	C	`conf`	Should I Sample it or Not? Improving Quality Assurance Efficiency Through Smart Active Sampling. IECON Clemens Heistracher, Pedro Casas, Stefan Stricker, Axel Weißenfeld, Daniel Schall, Jana Kemnitz
2023	J	`jnl`	Towards eXplainable AI for Mobility Data Science. CoRR Anahid N. Jalali, Anita Graser, Clemens Heistracher
2022	J	`jnl`	Machine Learning Methods for Health-Index Prediction in Coating Chambers. CoRR Clemens Heistracher, Anahid N. Jalali, Jürgen Schneeweiss, Klaudia Kovacs, Catherine Laflamme, Bernhard Haslhofer
2022	J	`jnl`	Smart Active Sampling to enhance Quality Assurance Efficiency. CoRR Clemens Heistracher, Stefan Stricker, Pedro Casas, Daniel Schall, Jana Kemnitz
2021	J	`jnl`	Minimal-Configuration Anomaly Detection for IIoT Sensors. CoRR Clemens Heistracher, Anahid N. Jalali, Axel Suendermann, Sebastian Meixner, Daniel Schall, Bernhard Haslhofer, Jana Kemnitz
2021	C	`conf`	Transfer Learning Strategies for Anomaly Detection in IoT Vibration Data. IECON Clemens Heistracher, Anahid N. Jalali, Indu Strobl, Axel Suendermann, Sebastian Meixner, Stephanie Holly, Daniel Schall, Bernhard Haslhofer, Jana Kemnitz
2020	—	`conf`	Machine Learning Techniques for the Classification of Product Descriptions from Darknet Marketplaces. ICAI Clemens Heistracher, Franck Mignet, Sven Schlarb
2019	—	`conf`	Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning. ICPHM Anahid N. Jalali, Clemens Heistracher, Alexander Schindler, Bernhard Haslhofer, Tanja Nemeth, Robert Glawar, Wilfried Sihn, Peter De Boer
2019	J	`jnl`	Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning. CoRR Anahid N. Jalali, Clemens Heistracher, Alexander Schindler, Bernhard Haslhofer, Tanja Nemeth, Robert Glawar, Wilfried Sihn, Peter De Boer