![[höher]](/style/images/multi_up.png)
Eine Ebene höherGruppiert nach: Dokumententyp |
Veröffentlichungsdatum
Anzahl der Publikationen: 13
2023
Giovagnoli, Alessandro; Tresp, Volker; Ma, Yunpu und Schubert, Matthias
(2023):
QNEAT: Natural Evolution of Variational Quantum Circuit Architecture.
GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation, Lisbon Portugal, July 15 - 19, 2023.
Silva, Sara und Paquete, Luís (Hrsg.):
In: GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,
New York: Association for Computing Machinery. S. 647-650
Winkel, David 
ORCID: https://orcid.org/0000-0001-8829-0863; Strauß, Niklas ORCID: https://orcid.org/0000-0002-8083-7323; Schubert, Matthias ORCID: https://orcid.org/0000-0002-6566-6343 und Seidl, Thomas ORCID: https://orcid.org/0000-0002-4861-1412
(2023):
Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection.
European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022.
In: Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings,
Bd. 13718
Cham: Springer. S. 185-200
ORCID: https://orcid.org/0000-0001-8829-0863; Strauß, Niklas ORCID: https://orcid.org/0000-0002-8083-7323; Schubert, Matthias ORCID: https://orcid.org/0000-0002-6566-6343 und Seidl, Thomas ORCID: https://orcid.org/0000-0002-4861-1412
(2023):
Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection.
European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022.
In: Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings,
Bd. 13718
Cham: Springer. S. 185-200
Mollière, Christian; Gottfriedsen, Julia; Langer, Martin; Massaro, Patricio; Soraruf, Christian und Schubert, Matthias
(2023):
Multi-Spectral Super-Resolution of Thermal Infrared Data Products for Urban Heat Applications.
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 16-21 July 2023.
Misra, Sidharth; Brown, Shannon und Bosch-Lluis, Javier (Hrsg.):
In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium,
[Piscataway, NJ]: IEEE. S. 4919-4922
Frey, Christian M. M. ORCID: https://orcid.org/0000-0003-2458-6651; Ma, Yunpu ORCID: https://orcid.org/0000-0001-6112-8794 und Schubert, Matthias ORCID: https://orcid.org/0000-0002-6566-6343
(2023):
SEA: Graph Shell Attention in Graph Neural Networks.
European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022.
Amini, Massih-Reza; Canu, Stéphane; Fischer, Asja; Guns, Tias; Novak, Petra Kralj und Tsoumakas, Grigorios (Hrsg.):
In: Machine Learning and Knowledge Discovery in Databases,
Bd. 13714, 326-343
Cham: Springer. S. 326-343
ORCID: https://orcid.org/0000-0003-2458-6651; Ma, Yunpu ORCID: https://orcid.org/0000-0001-6112-8794 und Schubert, Matthias ORCID: https://orcid.org/0000-0002-6566-6343
(2023):
SEA: Graph Shell Attention in Graph Neural Networks.
European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022.
Amini, Massih-Reza; Canu, Stéphane; Fischer, Asja; Guns, Tias; Novak, Petra Kralj und Tsoumakas, Grigorios (Hrsg.):
In: Machine Learning and Knowledge Discovery in Databases,
Bd. 13714, 326-343
Cham: Springer. S. 326-343
2022
Strauß, Niklas; Berrendorf, Max; Haider, Tom und Schubert, Matthias
(2022):
A Comparison of Ambulance Redeployment Systems on Real-World Data.
22nd IEEE International Conference on Data Mining Workshops (ICDM Workshops), Orlando, Florida, 28 November – 1 December 2022.
Selçuk Candan, K. (Hrsg.):
In: 2022 IEEE International Conference on Data Mining Workshops (ICDMW),
Los Alamitos: IEEE. S. 1-8
2021
Straus, Niklas; Rottkamp, Lukas; Schmoll, Sebastian und Schubert, Matthias
(2021):
Efficient Parking Search using Shared Fleet Data.
22nd IEEE International Conference on Mobile Data Management (MDM), Toronto, ON, Canada, 15-18 June 2021.
In: 2021 22nd IEEE International Conference on Mobile Data Management (MDM),
New York: IEEE. S. 115-120
Bernhard, Maximilian und Schubert, Matthias
(2021):
Correcting Imprecise Object Locations for Training Object Detectors in Remote Sensing Applications.
In: Remote Sensing, Bd. 13, Nr. 24, 4962
2020
Rabbi, Jakaria; Ray, Nilanjan; Schubert, Matthias; Chowdhury, Subir und Chao, Dennis
(2020):
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network.
In: Remote Sensing, Bd. 12, Nr. 9, 1432
Friedl, Sabrina; Schmoll, Sebastian; Borutta, Felix und Schubert, Matthias
(2020):
SMART-Env.
In: 2020 21St IEEE International Conference on Mobile Data Management (Mdm 2020): S. 234-235
2019
Fromm, Michael; Schubert, Matthias; Castilla, Guillermo; Linke, Julia und McDermid, Greg
(2019):
Automated Detection of Conifer Seedlings in Drone Imagery Using Convolutional Neural Networks.
In: Remote Sensing, Bd. 11, Nr. 21, 2585
Borutta, Felix; Busch, Julian; Faerman, Evgeniy; Klink, Adina und Schubert, Matthias
(2019):
Structural Graph Representations based on Multiscale Local Network Topologies.
In: 2019 Ieee/Wic/Acm International Conference on Web Intelligence (Wi 2019): S. 91-98
2018
Costa, Camila F.; Nascimento, Mario A. und Schubert, Matthias
(2018):
Diverse nearest neighbors queries using linear skylines.
In: Geoinformatica, Bd. 22, Nr. 4: S. 815-844
2017
Josse, Gregor; Schmid, Klaus Arthur; Zufle, Andreas; Skoumas, Georgios; Schubert, Matthias; Renz, Matthias; Pfoser, Dieter und Nascimento, Mario A.
(2017):
Knowledge extraction from crowdsourced data for the enrichment of road networks.
In: Geoinformatica, Bd. 21, Nr. 4: S. 763-795