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Veröffentlichungsdatum
Anzahl der Publikationen: 7
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
Ali, Mehdi; Berrendorf, Max; Hoyt, Charles Tapley; Vermue, Laurent; Galkin, Mikhail; Sharifzadeh, Sahand; Fischer, Asja; Tresp, Volker und Lehmann, Jens
(2022):
Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework.
In: IEEE Transactions on Pattern Analysis and Machine Intelligence, Bd. 44, Nr. 12: S. 8825-8845
2021
Sharifzadeh, Sahand; Baharlou, Sina Moayed; Berrendorf, Max; Koner, Rajat und Tresp, Volker
(2021):
Improving Visual Relation Detection using Depth Maps.
2020 25th International Conference on Pattern Recognition (ICPR), Milan, Italy, 10-15 January 2021.
In: 2020 25th International Conference on Pattern Recognition (ICPR),
New York: IEEE. S. 3597-3604
Fromm, Michael; Faerman, Evgeniy; Berrendorf, Max; Bhargava, Siddharth; Qi, Ruoxia; Zhang, Yao; Dennert, Lukas; Selle, Sophia; Mao, Yang und Seidl, Thomas
(2021):
Argument Mining Driven Analysis of Peer-Reviews.
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), Virtual Event, February 2-9, 2021.
In: Proceedings of the AAAI Conference on Artificial Intelligence,
Bd. 35, Nr. 6
AAAI Press. S. 4758-4766
Ali, Mehdi; Berrendorf, Max; Hoyt, Charles Tapley; Vermue, Laurent; Sharifzadeh, Sahand; Tresp, Volker und Lehmann, Jens
(2021):
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings.
In: Journal of Machine Learning Research, Bd. 22, 2021
Kronberg, Elena A.; Hannan, Tanveer; Huthmacher, Jens; Muenzer, Marcus; Peste, Florian; Zhou, Ziyang; Berrendorf, Max; Faerman, Evgeniy; Gastaldello, Fabio; Ghizzardi, Simona; Escoubet, Philippe; Haaland, Stein; Smirnov, Artem; Sivadas, Nithin; Allen, Robert C.; Tiengo, Andrea und Ilie, Raluca
(2021):
Prediction of Soft Proton Intensities in the Near-Earth Space Using Machine Learning.
In: Astrophysical Journal, Bd. 921, Nr. 1, 76
2020
Kronberg, Elena A.; Gastaldello, Fabio; Haaland, Stein; Smirnov, Artem; Berrendorf, Max; Ghizzardi, Simona; Kuntz, K. D.; Sivadas, Nithin; Allen, Robert C.; Tiengo, Andrea; Ilie, Raluca; Huang, Yu und Kistler, Lynn
(2020):
Prediction and Understanding of Soft-proton Contamination in XMM-Newton: A Machine Learning Approach.
In: Astrophysical Journal, Bd. 903, Nr. 2, 89