Julius Gonsior

According to our database, Julius Gonsior authored at least 16 papers between 2018 and 2024.

Collaborative distances:

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

2024

Selma: A Semantic Local Code Search Platform.

Anja Reusch, Guilherme C. Lopes, Wilhelm Pertsch, Hannes Ueck, Julius Gonsior, Wolfgang Lehner

Proceedings of the Advances in Information Retrieval, 2024

Investigating the Usage of Formulae in Mathematical Answer Retrieval.

Anja Reusch, Julius Gonsior, Claudio Hartmann, Wolfgang Lehner

Proceedings of the Advances in Information Retrieval, 2024

2023

Mr-Fosdick at SemEval-2023 Task 5: Comparing Dataset Expansion Techniques for Non-Transformer and Transformer Models: Improving Model Performance through Data Augmentation.

Christian Falkenberg, Erik Schönwälder, Tom Rietzke, Chris-Andris Görner, Robert Walther, Julius Gonsior, Anja Reusch

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Sabrina Spellman at SemEval-2023 Task 5: Discover the Shocking Truth Behind this Composite Approach to Clickbait Spoiling!

Simon Birkenheuer, Jonathan Drechsel, Paul Justen, Jimmy Phlmann, Julius Gonsior, Anja Reusch

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

An Empirical Study on the Robustness of Active Learning for Biomedical Image Classification Under Model Transfer Scenarios.

Tamás Janusko, Julius Gonsior, Maik Thiele

Proceedings of the New Trends in Database and Information Systems, 2023

Comparing and Improving Active Learning Uncertainty Measures for Transformer Models.

Julius Gonsior, Christian Falkenberg, Silvio Magino, Anja Reusch, Claudio Hartmann, Maik Thiele, Wolfgang Lehner

Proceedings of the Advances in Databases and Information Systems, 2023

2022

To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models.

Julius Gonsior, Christian Falkenberg, Silvio Magino, Anja Reusch, Maik Thiele, Wolfgang Lehner

CoRR, 2022

ALWars: Combat-Based Evaluation of Active Learning Strategies.

Julius Gonsior, Jakob Krude, Janik Schönfelder, Maik Thiele, Wolfgang Lehner

Proceedings of the Advances in Information Retrieval, 2022

ImitAL: Learned Active Learning Strategy on Synthetic Data.

Julius Gonsior, Maik Thiele, Wolfgang Lehner

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

ImitAL: Learning Active Learning Strategies from Synthetic Data.

Julius Gonsior, Maik Thiele, Wolfgang Lehner

CoRR, 2021

Pre-Trained Web Table Embeddings for Table Discovery.

Michael Günther, Maik Thiele, Julius Gonsior, Wolfgang Lehner

Proceedings of the aiDM '21: Fourth Workshop in Exploiting AI Techniques for Data Management, 2021

2020

Active Learning for Spreadsheet Cell Classification.

Julius Gonsior, Josephine Rehak, Maik Thiele, Elvis Koci, Michael Günther, Wolfgang Lehner

Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020

WeakAL: Combining Active Learning and Weak Supervision.

Julius Gonsior, Maik Thiele, Wolfgang Lehner

Proceedings of the Discovery Science - 23rd International Conference, 2020

2019

XLIndy: Interactive Recognition and Information Extraction in Spreadsheets.

Elvis Koci, Dana Kuban, Nico Luettig, Dominik Olwig, Maik Thiele, Julius Gonsior, Wolfgang Lehner, Oscar Romero

Proceedings of the ACM Symposium on Document Engineering 2019, 2019

2018

Practical Linked Data Access via SPARQL: The Case of Wikidata.

Adrian Bielefeldt, Julius Gonsior, Markus Krötzsch

Proceedings of the Workshop on Linked Data on the Web co-located with The Web Conference 2018, 2018

Getting the Most Out of Wikidata: Semantic Technology Usage in Wikipedia's Knowledge Graph.

Stanislav Malyshev, Markus Krötzsch, Larry González, Julius Gonsior, Adrian Bielefeldt

Proceedings of the Semantic Web - ISWC 2018, 2018