Evgeniy Faerman

27 papers A* 1B 2Journal 13Unranked 10
YearRankTypeTitle / Venue / Authors
2023 — conf
Cross-Domain Argument Quality Estimation.
ACL (Findings)
Michael Fromm, Max Berrendorf, Evgeniy Faerman, Thomas Seidl
2022 J jnl
Towards a Holistic View on Argument Quality Prediction.
CoRR
Michael Fromm, Max Berrendorf, Johanna Reiml, Isabelle Mayerhofer, Siddharth Bhargava, Evgeniy Faerman, Thomas Seidl
2021 — conf
A Critical Assessment of State-of-the-Art in Entity Alignment.
ECIR (2)
Max Berrendorf, Ludwig Wacker, Evgeniy Faerman
2021 J jnl
Active Learning for Argument Strength Estimation.
CoRR
Nataliia Kees, Michael Fromm, Evgeniy Faerman, Thomas Seidl
2021 — conf
Active Learning for Entity Alignment.
ECIR (1)
Max Berrendorf, Evgeniy Faerman, Volker Tresp
2021 A* conf
Argument Mining Driven Analysis of Peer-Reviews.
AAAI
Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl
2021 — conf
Diversity Aware Relevance Learning for Argument Search.
ECIR (2)
Michael Fromm, Max Berrendorf, Sandra Obermeier, Thomas Seidl, Evgeniy Faerman
2021 J jnl
Prediction of soft proton intensities in the near-Earth space using machine learning.
CoRR
Elena A. Kronberg, Tanveer Hannan, Jens Huthmacher, Marcus Münzer, Florian Peste, Ziyang Zhou, Max Berrendorf, Evgeniy Faerman, Fabio Gastaldello, Simona Ghizzardi, Philippe Escoubet, Stein Haaland, Artem Smirnov, Nithin Sivadas, Robert C. Allen, Andrea Tiengo, Raluca Ilie
2021 — —
Representation learning on relational data.
Evgeniy Faerman
2020 J jnl
A Critical Assessment of State-of-the-Art in Entity Alignment.
CoRR
Max Berrendorf, Ludwig Wacker, Evgeniy Faerman
2020 J jnl
Active Learning for Entity Alignment.
CoRR
Max Berrendorf, Evgeniy Faerman, Volker Tresp
2020 — conf
Ada-LLD: Adaptive Node Similarity Using Multi-Scale Local Label Distributions.
WI/IAT
Evgeniy Faerman, Felix Borutta, Julian Busch, Matthias Schubert
2020 J jnl
Argument Mining Driven Analysis of Peer-Reviews.
CoRR
Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl
2020 J jnl
Diversity Aware Relevance Learning for Argument Search.
CoRR
Michael Fromm, Max Berrendorf, Sandra Obermeier, Thomas Seidl, Evgeniy Faerman
2020 J jnl
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank.
CoRR
Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp
2020 — conf
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods.
WI/IAT
Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp
2020 — conf
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned.
ECIR (2)
Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl
2020 J jnl
Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering.
CoRR
Julian Busch, Evgeniy Faerman, Matthias Schubert, Thomas Seidl
2020 — conf
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels.
CIKM (Workshops)
Valentyn Melnychuk, Evgeniy Faerman, Ilja Manakov, Thomas Seidl
2020 J jnl
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels.
CoRR
Valentyn Melnychuk, Evgeniy Faerman, Ilja Manakov, Thomas Seidl
2020 J jnl
Unsupervised Anomaly Detection for X-Ray Images.
CoRR
Diana Davletshina, Valentyn Melnychuk, Viet Tran, Hitansh Singla, Max Berrendorf, Evgeniy Faerman, Michael Fromm, Matthias Schubert
2019 J jnl
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned.
CoRR
Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl
2019 — conf
Spatial Interpolation with Message Passing Framework.
ICDM Workshops
Evgeniy Faerman, Manuell Rogalla, Niklas Strauß, Adrian Krüger, Benedict Blümel, Max Berrendorf, Michael Fromm, Matthias Schubert
2019 B conf
Structural Graph Representations based on Multiscale Local Network Topologies.
WI
Felix Borutta, Julian Busch, Evgeniy Faerman, Adina Klink, Matthias Schubert
2019 B conf
TACAM: Topic And Context Aware Argument Mining.
WI
Michael Fromm, Evgeniy Faerman, Thomas Seidl
2019 J jnl
TACAM: Topic And Context Aware Argument Mining.
CoRR
Michael Fromm, Evgeniy Faerman, Thomas Seidl
2019 — conf
XD-STOD: Cross-Domain Superresolution for Tiny Object Detection.
ICDM Workshops
Michael Fromm, Max Berrendorf, Evgeniy Faerman, Yiyi Chen, Balthasar Schüss, Matthias Schubert