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2020 – today
- 2024
[c16]Tamás Janusko, Colin Simon, Kevin Kirsten, Serhiy Bolkun, Eric Weinzierl, Julius Gonsior
, Maik Thiele:
Active Learning with Aggregated Uncertainties from Image Augmentations. EANN 2024: 3-16- [c15]Anja Reusch, Guilherme C. Lopes, Wilhelm Pertsch, Hannes Ueck, Julius Gonsior, Wolfgang Lehner:
Selma: A Semantic Local Code Search Platform. ECIR (5) 2024: 218-222 - [c14]Anja Reusch, Julius Gonsior, Claudio Hartmann, Wolfgang Lehner:
Investigating the Usage of Formulae in Mathematical Answer Retrieval. ECIR (1) 2024: 247-261 - [c13]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: 73-93 - 2023
- [c12]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: 119-132 - [c11]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: 336-347 - [c10]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: 88-93 - [c9]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: 969-977 - 2022
- [c8]Julius Gonsior, Maik Thiele, Wolfgang Lehner:
ImitAL: Learned Active Learning Strategy on Synthetic Data. DS 2022: 47-56 - [c7]Julius Gonsior, Jakob Krude, Janik Schönfelder, Maik Thiele, Wolfgang Lehner:
ALWars: Combat-Based Evaluation of Active Learning Strategies. ECIR (2) 2022: 294-299 - [i3]Julius Gonsior, Maik Thiele, Wolfgang Lehner:
ImitAL: Learned Active Learning Strategy on Synthetic Data. CoRR abs/2208.11636 (2022) - [i2]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 abs/2210.03005 (2022) - 2021
- [c6]Michael Günther, Maik Thiele, Julius Gonsior, Wolfgang Lehner:
Pre-Trained Web Table Embeddings for Table Discovery. aiDM@SIGMOD 2021: 24-31 - [i1]Julius Gonsior, Maik Thiele, Wolfgang Lehner:
ImitAL: Learning Active Learning Strategies from Synthetic Data. CoRR abs/2108.07670 (2021) - 2020
- [c5]Julius Gonsior, Maik Thiele, Wolfgang Lehner:
WeakAL: Combining Active Learning and Weak Supervision. DS 2020: 34-49 - [c4]Julius Gonsior, Josephine Rehak, Maik Thiele, Elvis Koci, Michael Günther, Wolfgang Lehner:
Active Learning for Spreadsheet Cell Classification. EDBT/ICDT Workshops 2020
2010 – 2019
- 2019
- [c3]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: 25:1-25:4 - 2018
- [c2]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: 376-394 - [c1]Adrian Bielefeldt, Julius Gonsior, Markus Krötzsch:
Practical Linked Data Access via SPARQL: The Case of Wikidata. LDOW@WWW 2018
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