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Max Berrendorf

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

13

Venues

8

Active years

2019–2023

Best venue rank

A*

Where they publish

Papers

13 indexed papers, newest first.

YearVenueTitleAuthors
2023ACLCross-Domain Argument Quality Estimation.Michael Fromm, Max Berrendorf, Evgeniy Faerman, Thomas Seidl
2022ICDMA Comparison of Ambulance Redeployment Systems on Real-World Data.Niklas Strau, Max Berrendorf, Tom Haider, Matthias Schubert
2022ICLRQuery Embedding on Hyper-Relational Knowledge Graphs.Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin
2022IJCAIImproving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract).Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
2021AAAIArgument Mining Driven Analysis of Peer-Reviews.Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl
2021ECIRActive Learning for Entity Alignment.Max Berrendorf, Evgeniy Faerman, Volker Tresp
2021ECIRA Critical Assessment of State-of-the-Art in Entity Alignment.Max Berrendorf, Ludwig Wacker, Evgeniy Faerman
2021ECIRDiversity Aware Relevance Learning for Argument Search.Michael Fromm, Max Berrendorf, Sandra Obermeier, Thomas Seidl, Evgeniy Faerman
2020ECIRKnowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned.Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl
2020ICPRImproving Visual Relation Detection using Depth Maps.Sahand Sharifzadeh, Sina Moayed Baharlou, Max Berrendorf, Rajat Koner, Volker Tresp
2019ICDMSpatial Interpolation with Message Passing Framework.Evgeniy Faerman, Manuell Rogalla, Niklas Strau, Adrian Krger, Benedict Blmel, Max Berrendorf, Michael Fromm, Matthias Schubert
2019ICDMXD-STOD: Cross-Domain Superresolution for Tiny Object Detection.Michael Fromm, Max Berrendorf, Evgeniy Faerman, Yiyi Chen, Balthasar Schss, Matthias Schubert
2019SISAPk-Distance Approximation for Memory-Efficient RkNN Retrieval.Max Berrendorf, Felix Borutta, Peer Krger