Evgeniy Faerman
Ludwig-Maximilians-Universität München
H-index: 9
Europe-Germany
Top articles of Evgeniy Faerman
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Cross-Domain Argument Quality Estimation | Michael Fromm Max Berrendorf Evgeniy Faerman Thomas Seidl | 2023/7 | |
Towards a Holistic View on Argument Quality Prediction | arXiv preprint arXiv:2205.09803 | Michael Fromm Max Berrendorf Johanna Reiml Isabelle Mayerhofer Siddharth Bhargava | 2022/5/19 |
Active learning for entity alignment | Max Berrendorf Evgeniy Faerman Volker Tresp | 2021 | |
Active Learning for Argument Strength Estimation | arXiv preprint arXiv:2109.11319 | Nataliia Kees Michael Fromm Evgeniy Faerman Thomas Seidl | 2021/9/23 |
Argument mining driven analysis of peer-reviews | Proceedings of the AAAI Conference on Artificial Intelligence | Michael Fromm Evgeniy Faerman Max Berrendorf Siddharth Bhargava Ruoxia Qi | 2021/5/18 |
Representation learning on relational data | Evgeniy Faerman | 2021/4/30 | |
A critical assessment of state-of-the-art in entity alignment | Max Berrendorf Ludwig Wacker Evgeniy Faerman | 2021 | |
Diversity Aware Relevance Learning for Argument Search | Michael Fromm Max Berrendorf Sandra Obermeier Thomas Seidl Evgeniy Faerman | 2021 | |
Prediction of soft proton intensities in the near-Earth space using machine learning | The Astrophysical Journal | Elena A Kronberg Tanveer Hannan Jens Huthmacher Marcus Münzer Florian Peste | 2021/11/2 |
On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods | arXiv preprint arXiv:2002.06914 | Max Berrendorf Evgeniy Faerman Laurent Vermue Volker Tresp | 2020/2/17 |
Unsupervised Anomaly Detection for X-Ray Images | arXiv preprint arXiv:2001.10883 | Diana Davletshina Valentyn Melnychuk Viet Tran Hitansh Singla Max Berrendorf | 2020/1/29 |
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods | Max Berrendorf Evgeniy Faerman Laurent Vermue Volker Tresp | 2020/12/14 | |
Knowledge graph entity alignment with graph convolutional networks: lessons learned | Max Berrendorf Evgeniy Faerman Valentyn Melnychuk Volker Tresp Thomas Seidl | 2020 | |
Ada-LLD: Adaptive Node Similarity Using Multi-Scale Local Label Distributions | Evgeniy Faerman Felix Borutta Julian Busch Matthias Schubert | 2020/12/14 | |
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels | arXiv preprint arXiv:2010.12316 | Valentyn Melnychuk Evgeniy Faerman Ilja Manakov Thomas Seidl | 2020/10/23 |
Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering | arXiv preprint arXiv:2009.12875 | Julian Busch Evgeniy Faerman Matthias Schubert Thomas Seidl | 2020/9/27 |
