Julius Gonsior

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Annotation Effort

Relational Models

Image Classification

Active Learning

Top Venues

Publications

Linda Erben, Maria Hampel, Malte-Christian Kuns, Vincent Melisch, Per Natzschka, Wilhelm Pertsch, Lina Razouk, Reiner Stolle, Robert Thomas Thoss, Tuan Giang Trinh, Julius Gonsior, Anja Reusch
Assembling four Open Web Search Components: TU Dresden at WOWS 2024. WOWS@ECIR (2024)
Anja Reusch, Julius Gonsior, Claudio Hartmann, Wolfgang Lehner
Investigating the Usage of Formulae in Mathematical Answer Retrieval. ECIR (1) (2024)
Tamás Janusko, Colin Simon, Kevin Kirsten, Serhiy Bolkun, Eric Weinzierl, Julius Gonsior, Maik Thiele
Active Learning with Aggregated Uncertainties from Image Augmentations. EANN (2024)
Anja Reusch, Guilherme C. Lopes, Wilhelm Pertsch, Hannes Ueck, Julius Gonsior, Wolfgang Lehner
Selma: A Semantic Local Code Search Platform. ECIR (5) (2024)
Tamás Janusko, Julius Gonsior, Maik Thiele
An Empirical Study on the Robustness of Active Learning for Biomedical Image Classification Under Model Transfer Scenarios. ADBIS (Short Papers) (2023)
Christian Falkenberg, Erik Schönwälder, Tom Rietzke, Chris-Andris Görner, Robert Walther, Julius Gonsior, Anja Reusch
Mr-Fosdick at SemEval-2023 Task 5: Comparing Dataset Expansion Techniques for Non-Transformer and Transformer Models: Improving Model Performance through Data Augmentation. SemEval@ACL (2023)
Simon Birkenheuer, Jonathan Drechsel, Paul Justen, Jimmy Phlmann, Julius Gonsior, Anja Reusch
Sabrina Spellman at SemEval-2023 Task 5: Discover the Shocking Truth Behind this Composite Approach to Clickbait Spoiling! SemEval@ACL (2023)
Julius Gonsior, Christian Falkenberg, Silvio Magino, Anja Reusch, Claudio Hartmann, Maik Thiele, Wolfgang Lehner
Comparing and Improving Active Learning Uncertainty Measures for Transformer Models. ADBIS (2023)
Julius Gonsior, Christian Falkenberg, Silvio Magino, Anja Reusch, Maik Thiele, Wolfgang Lehner
To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models. CoRR (2022)
Julius Gonsior, Jakob Krude, Janik Schönfelder, Maik Thiele, Wolfgang Lehner
ALWars: Combat-Based Evaluation of Active Learning Strategies. ECIR (2) (2022)
Julius Gonsior, Maik Thiele, Wolfgang Lehner
ImitAL: Learned Active Learning Strategy on Synthetic Data. DS (2022)
Julius Gonsior, Maik Thiele, Wolfgang Lehner
ImitAL: Learned Active Learning Strategy on Synthetic Data. CoRR (2022)
Julius Gonsior, Maik Thiele, Wolfgang Lehner
ImitAL: Learning Active Learning Strategies from Synthetic Data. CoRR (2021)
Michael Günther, Maik Thiele, Julius Gonsior, Wolfgang Lehner
Pre-Trained Web Table Embeddings for Table Discovery. aiDM@SIGMOD (2021)
Julius Gonsior, Josephine Rehak, Maik Thiele, Elvis Koci, Michael Günther, Wolfgang Lehner
Active Learning for Spreadsheet Cell Classification. EDBT/ICDT Workshops (2020)
Julius Gonsior, Maik Thiele, Wolfgang Lehner
WeakAL: Combining Active Learning and Weak Supervision. DS (2020)
Elvis Koci, Dana Kuban, Nico Luettig, Dominik Olwig, Maik Thiele, Julius Gonsior, Wolfgang Lehner, Oscar Romero
XLIndy: Interactive Recognition and Information Extraction in Spreadsheets. DocEng (2019)
Adrian Bielefeldt, Julius Gonsior, Markus Krötzsch
Practical Linked Data Access via SPARQL: The Case of Wikidata. LDOW@WWW (2018)
Stanislav Malyshev, Markus Krötzsch, Larry González, Julius Gonsior, Adrian Bielefeldt
Getting the Most Out of Wikidata: Semantic Technology Usage in Wikipedia's Knowledge Graph. ISWC (2) (2018)