Evgheniy Faerman

According to our database, Evgheniy Faerman authored at least 23 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Cross-Domain Argument Quality Estimation.

Michael Fromm, Max Berrendorf, Evgeniy Faerman, Thomas Seidl

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Towards a Holistic View on Argument Quality Prediction.

Michael Fromm, Max Berrendorf, Johanna Reiml, Isabelle Mayerhofer, Siddharth Bhargava, Evgeniy Faerman, Thomas Seidl

CoRR, 2022

2021

Representation learning on relational data.

Evgeniy Faerman

PhD thesis, 2021

Active Learning for Argument Strength Estimation.

Nataliia Kees, Michael Fromm, Evgeniy Faerman, Thomas Seidl

CoRR, 2021

Prediction of soft proton intensities in the near-Earth space using machine learning.

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

CoRR, 2021

Diversity Aware Relevance Learning for Argument Search.

Michael Fromm, Max Berrendorf, Sandra Obermeier, Thomas Seidl, Evgeniy Faerman

Proceedings of the Advances in Information Retrieval, 2021

A Critical Assessment of State-of-the-Art in Entity Alignment.

Max Berrendorf, Ludwig Wacker, Evgeniy Faerman

Proceedings of the Advances in Information Retrieval, 2021

Active Learning for Entity Alignment.

Max Berrendorf, Evgeniy Faerman, Volker Tresp

Proceedings of the Advances in Information Retrieval, 2021

Argument 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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering.

Julian Busch, Evgeniy Faerman, Matthias Schubert, Thomas Seidl

CoRR, 2020

Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank.

Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp

CoRR, 2020

Unsupervised Anomaly Detection for X-Ray Images.

Diana Davletshina, Valentyn Melnychuk, Viet Tran, Hitansh Singla, Max Berrendorf, Evgeniy Faerman, Michael Fromm, Matthias Schubert

CoRR, 2020

Ada-LLD: Adaptive Node Similarity Using Multi-Scale Local Label Distributions.

Evgeniy Faerman, Felix Borutta, Julian Busch, Matthias Schubert

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods.

Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned.

Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl

Proceedings of the Advances in Information Retrieval, 2020

Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels.

Valentyn Melnychuk, Evgeniy Faerman, Ilja Manakov, Thomas Seidl

Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020

2019

TACAM: Topic And Context Aware Argument Mining.

Michael Fromm, Evgeniy Faerman, Thomas Seidl

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Structural Graph Representations based on Multiscale Local Network Topologies.

Felix Borutta, Julian Busch, Evgeniy Faerman, Adina Klink, Matthias Schubert

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

XD-STOD: Cross-Domain Superresolution for Tiny Object Detection.

Michael Fromm, Max Berrendorf, Evgeniy Faerman, Yiyi Chen, Balthasar Schüss, Matthias Schubert

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Spatial Interpolation with Message Passing Framework.

Evgeniy Faerman, Manuell Rogalla, Niklas Strauß, Adrian Krüger, Benedict Blümel, Max Berrendorf, Michael Fromm, Matthias Schubert

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018

Semi-Supervised Learning on Graphs Based on Local Label Distributions.

Evgheniy Faerman, Felix Borutta, Julian Busch, Matthias Schubert

CoRR, 2018

LASAGNE: Locality and Structure Aware Graph Node Embedding.

Evgheniy Faerman, Felix Borutta, Kimon Fountoulakis, Michael W. Mahoney

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

2017

On Privacy in Spatio-Temporal Data: User Identification Using Microblog Data.

Erik Seglem, Andreas Züfle, Jan Stutzki, Felix Borutta, Evgheniy Faerman, Matthias Schubert

Proceedings of the Advances in Spatial and Temporal Databases, 2017