Evgeniy Faerman

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 26

Top Topics

Quality Estimation

Graph Representation

Network Topologies

Top Venues

Publications

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