Publikationen

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2023
Veröffentlicht
Detecting Anomalous Multivariate Time-Series via Hybrid Machine Learning
Terbuch, A., O'Leary, P., Khalilimotlaghkasmaei, N., Auer, P., Zöhrer, A. & Winter, V., 12 Jan. 2023, in: IEEE transactions on instrumentation and measurement. 72.2023, 13 S., 2503711.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Veröffentlicht
Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms
Gajane, P., Auer, P. & Ortner, R., 2023, Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23). S. 3714-3722
Publikationen: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband
2022
Elektronische Veröffentlichung vor Drucklegung.
The bin covering with delivery problem, extended investigations for the online case
Abraham, G., Auer, P., Dosa, G., Dulai, T., Tuza, Z. & Werner-Stark, Á., 30 Apr. 2022, (Elektronische Veröffentlichung vor Drucklegung.) in: Central European Journal of Operations Research. 31.2023, March, S. 21-47 27 S.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Veröffentlicht
Hybrid Machine Learning for Anomaly Detection in Industrial Time-Series Measurement Data
Terbuch, A., O'Leary, P. & Auer, P., 2022, I2MTC 2022 - IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement under Pandemic Constraints, Proceedings. Institute of Electrical and Electronics Engineers, (Conference Record - IEEE Instrumentation and Measurement Technology Conference).
Publikationen: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband
2021
Veröffentlicht
A new heuristic and an exact approach for a production planning problem
Auer, P., Dósa, G., Dulai, T., Fügenschuh, A., Näser, P., Ortner, R. & Werner-Starkne, A., Sept. 2021, in: Central European Journal of Operations Research. 29, 3, S. 1079-1113 35 S.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Veröffentlicht
Particle Size Estimation in Mixed Commercial Waste Images Using Deep Learning
Kittiworapanya, P., Pasupa, K. & Auer, P., 29 Juni 2021, IAIT 2021 - 12th International Conference on Advances in Information Technology: Intelligence and Innovation for Digital Business and Society. Association for Computing Machinery (ACM), 3471273. (ACM International Conference Proceeding Series).
Publikationen: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband
Veröffentlicht
Learning to Drive with Deep Reinforcement Learning
Chukamphaeng, N., Pasupa, K., Antenreiter, M. & Auer, P., 21 Jan. 2021, KST 2021 - 2021 13th International Conference Knowledge and Smart Technology. Institute of Electrical and Electronics Engineers, S. 147-152 6 S. 9415770. (KST 2021 - 2021 13th International Conference Knowledge and Smart Technology).
Publikationen: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband
Veröffentlicht
Grid Load Mitigation in EV Fast Charging Stations Through Integration of a High-Performance Flywheel Energy Storage System with CFRP Rotor
Buchroithner, A., Presmair, R., Haidl, P., Wegleiter, H., Thormann, B., Kienberger, T., Auer, P. & Domitner, J., 2021, 2021 IEEE Green Energy and Smart Systems Conference, IGESSC 2021. Institute of Electrical and Electronics Engineers, (2021 IEEE Green Energy and Smart Systems Conference, IGESSC 2021).
Publikationen: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband
2019
Veröffentlicht
A Reinforcement Learning Motivated Algorithm for Process Optimization
Ábrahám, Á., Auer, P., Dósa, G., Dulai, T. & Werner-Stark, Á., 18 Dez. 2019, in: Periodica Polytechnica Civil Engineering. 63.2019, 4, S. 961-970 10 S.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Veröffentlicht
Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes
Auer, P., Gajane, P. & Ortner, R., 27 Juni 2019.
Publikationen: Konferenzbeitrag › Poster › Forschung › (peer-reviewed)

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Publikationen

Detecting Anomalous Multivariate Time-Series via Hybrid Machine Learning

Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms

The bin covering with delivery problem, extended investigations for the online case

Hybrid Machine Learning for Anomaly Detection in Industrial Time-Series Measurement Data

A new heuristic and an exact approach for a production planning problem

Particle Size Estimation in Mixed Commercial Waste Images Using Deep Learning

Learning to Drive with Deep Reinforcement Learning

Grid Load Mitigation in EV Fast Charging Stations Through Integration of a High-Performance Flywheel Energy Storage System with CFRP Rotor

A Reinforcement Learning Motivated Algorithm for Process Optimization

Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes

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