Julius Gonsior | Database Research Group

Office: APB 3053
Phone: (+49) 351 / 463 43544
Email: julius.gonsiorThis is a spam protection.tu-dresden.de
Website: https://jgonsior.de/

Research Interests

“How can one efficiently obtain a good labeled dataset?”

Machine Learning
- Active Learning
- Learning-to-rank
- Imitation Learning
- Weak Supervision

Publications (7)

To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models.
Gonsior, J.; Falkenberg, C.; Magino, S.; Reusch, A.; Thiele, M.; Lehner, W.
In arXiv preprint arXiv:2210.03005.2022.Links: Source Code: https://github.com/jgonsior/btw-softmax-clipping.
- To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models
- BibTeX
@unpublished{,
   author = {Julius Gonsior and Christian Falkenberg and Silvio Magino and Anja Reusch and Maik Thiele and Wolfgang Lehner},
   title = {To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models},
   booktitle = {arXiv preprint arXiv:2210.03005},
   year = {2022},
   month = {10},
   numpages = {11},
   url = {https://arxiv.org/abs/2210.03005}
}
ALWars: Combat-Based Evaluation of Active Learning Strategies.
Gonsior, J.; Krude, J.; Schönfelder, J.; Thiele, M.; Lehner, W.
In ECIR 2022: Advances in Information Retrieval.Springer, Cham,2022.Links: https://github.com/etikedi/etikedi/.
- ALWars: Combat-Based Evaluation of Active Learning Strategies
- BibTeX
@conference{,
   author = {Julius Gonsior and Jakob Krude and Janik Sch\"{o}nfelder and Maik Thiele and Wolfgang Lehner},
   title = {ALWars: Combat-Based Evaluation of Active Learning Strategies},
   booktitle = {ECIR 2022: Advances in Information Retrieval},
   series = {Part of the Lecture Notes in Computer Science book series (LNCS,volume 13186)},
   year = {2022},
   month = {04},
   location = {Stavanger, Norway},
   numpages = {4},
   url = {https://link.springer.com/chapter/10.1007/978-3-030-99739-7_36},
   publisher = {Springer, Cham},
   keywords = {Active learning,Python,GUI,Machine learning,Demo}
}
ImitAL: Learning Active Learning Strategies from Synthetic Data.
Gonsior, J.; Thiele, M.; Lehner, W.
In arXiv preprint arXiv:2108.07670.2021.
- ImitAL: Learning Active Learning Strategies from Synthetic Data
- BibTeX
@unpublished{,
   author = {Julius Gonsior and Maik Thiele and Wolfgang Lehner},
   title = {ImitAL: Learning Active Learning Strategies from Synthetic Data},
   booktitle = {arXiv preprint arXiv:2108.07670},
   year = {2021},
   month = {08},
   numpages = {11},
   url = {https://arxiv.org/abs/2108.07670}
}
Pre-Trained Web Table Embeddings for Table Discovery.
Günther, M.; Thiele, M.; Gonsior, J.; Lehner, W.
In aiDM '21: Fourth Workshop in Exploiting AI Techniques for Data Management.2021.
- BibTeX
@article{,
   author = {Michael G\"{u}nther and Maik Thiele and Julius Gonsior and Wolfgang Lehner},
   title = {Pre-Trained Web Table Embeddings for Table Discovery},
   booktitle = {aiDM '21: Fourth Workshop in Exploiting AI Techniques for Data Management},
   year = {2021},
   month = {06},
   numpages = {8},
   url = {https://dl.acm.org/doi/abs/10.1145/3464509.3464892}
}
WeakAL: Combining Active Learning and Weak Supervision.
Gonsior, J.; Thiele, M.; Lehner, W.
Appice A., Tsoumakas G., Manolopoulos Y., Matwin S. (eds) Discovery Science. DS 2020. Lecture Notes in Computer Science, vol 12323Springer, Cham,2020.
- Download
- BibTeX
@article{,
   author = {Julius Gonsior and Maik Thiele and Wolfgang Lehner},
   title = {WeakAL: Combining Active Learning and Weak Supervision},
   series = {Lecture Notes in Computer Science},
   volume = {12323},
   year = {2020},
   month = {10},
   isbn = {978-3-030-61527-7},
   numpages = {15},
   url = {https://doi.org/10.1007/978-3-030-61527-7_3},
   publisher = {Springer, Cham}
}
Active Learning for Spreadsheet Cell Classification.
Gonsior, J.; Rehak, J.; Thiele, M.; Koci, E.; Günther, M.; Lehner, W.
In Workshop Proceedings of the EDBT/ICTDT 2020 Joint Conference.2020.
- Download
- BibTeX
@article{,
   author = {Julius Gonsior and Josephine Rehak and Maik Thiele and Elvis Koci and Michael G\"{u}nther and Wolfgang Lehner},
   title = {Active Learning for Spreadsheet Cell Classification},
   journal = {Workshop Proceedings of the EDBT/ICTDT 2020 Joint Conference},
   year = {2020},
   month = {3},
   numpages = {6},
   url = {https://sea-data.ml/}
}
XLIndy: Interactive Recognition and Information Extraction in Spreadsheets.
Romero, O.; Koci, E.; Lehner, W.; Thiele, M.; Gonsior, J.
In The 19th ACM Symposium on Document Engineering (DocEng).2019.
- Download
- BibTeX
@article{,
   author = {Oscar Romero and Elvis Koci and Wolfgang Lehner and Maik Thiele and Julius Gonsior},
   title = {XLIndy: Interactive Recognition and Information Extraction in Spreadsheets},
   booktitle = {The 19th ACM Symposium on Document Engineering (DocEng)},
   year = {2019},
   month = {09},
   numpages = {4},
   url = {https://doceng.org/doceng2019}
}

Research Projects (1)

DIWAN

Lectures and Courses (8)

Summer Term 2021

Scalable Data Processing Concepts (Übung)

Winter Term 2020/21

Komplexpraktikum DB-Anwendungsentwicklung
Forschungspraktikum DB-Anwendungsentwicklung
Information Retrieval (Übung)

Summer Term 2020

Winter Term 2019/20

Information Retrieval (Übung)

Diploma Theses (2)

Evaluation of Weak Supervision and Transfer Learning for GUI Element Detection
Eric Schölzel April 13th, 2019 until September 30th, 2020
Supervision: Julius Gonsior, Axel Hertzschuch, Maik Thiele, Wolfgang Lehner
Reinforcement Learning for Wind Turbine Load Control
Nico Westerbeck October 28th, 2021 until February 20th, 2022
Supervision: Julius Gonsior, Claudio Hartmann, Wolfgang Lehner

Master's Theses (2)

Comparison of methods for automatic generation of annotations for Machine Learning
Eric Gedlich April 23rd, 2021 until September 24th, 2021
Supervision: Julius Gonsior, Maik Thiele, Wolfgang Lehner
Synthetic dataset generation methods for supervised machine learning problems
Andreas Geyer May 4th, 2021 until October 5th, 2021
Supervision: Julius Gonsior, Maik Thiele, Wolfgang Lehner

Bachelor's Theses (13)

Weak Supervision Strategies Using Reinforcement Learning
Maximilian Schaller April 27th, 2019 until July 13th, 2020
Supervision: Julius Gonsior, Maik Thiele, Wolfgang Lehner
Automatic Labeling of Training Data Using Snuba
Nico Lüttig November 1st, 2019 until January 17th, 2020
Supervision: Julius Gonsior, Maik Thiele, Wolfgang Lehner
Evaluation of classification methods in case of erroneous data
Julian Jage September 1st, 2020 until December 15th, 2020
Supervision: Julius Gonsior, Maik Thiele, Wolfgang Lehner
Generating Taxonomy from large Text Corpora using Machine Learning
Quoc Trung Chu January 4th, 2021 until March 22nd, 2021
Supervision: Julius Gonsior, Maik Thiele, Wolfgang Lehner
Development and comparison of Active Learning and Weak Supervision aware annotation software
Janik Schönfelder March 26th, 2021 until June 11th, 2021
Supervision: Julius Gonsior, Maik Thiele, Wolfgang Lehner
Implementation and comparison of active learning query strategies
Julius Boßmann June 25th, 2021 until September 10th, 2021
Supervision: Julius Gonsior, Claudio Hartmann, Wolfgang Lehner
Feature-Engineering for Generation of Taxonomy from large text corpora using machine Learning
Aris Krasniqi October 7th, 2021 until December 23rd, 2021
Supervision: Julius Gonsior, Claudio Hartmann, Wolfgang Lehner
Development of a BERT-Architecture based domain-sensitive semantic search
Tim Rieß November 15th, 2021 until January 31st, 2021
Supervision: Julius Gonsior, Claudio Hartmann, Wolfgang Lehner
Evaluation of Methods for Generating Synthetic Texts to improve Text Classification Tasks
Duy Nhu December 13th, 2021 until February 28th, 2022
Supervision: Julius Gonsior, Claudio Hartmann, Wolfgang Lehner
Evaluation of Active Learning Strategies for Transformer-Architecture based Language Models
Ada Güney Arslan February 17th, 2022 until April 4th, 2022
Supervision: Julius Gonsior, Claudio Hartmann, Wolfgang Lehner
Active Learning-based Evaluation of Uncertainty Measures for Transformer-based Language Models
Silvio Magino May 13th, 2022 until July 29th, 2022
Supervision: Julius Gonsior, Claudio Hartmann, Wolfgang Lehner
Evaluation of Transformer-based Language Models for Classification of Issue-Tracking-Records
Johan Bläsche June 3rd, 2022 until September 9th, 2022
Supervision: Julius Gonsior, Claudio Hartmann, Wolfgang Lehner
Evaluation of Classification Probability Calculation Measures for Transformer-based Language Models using Active Learning
Christian Falkenberg June 8th, 2022 until August 24th, 2022
Supervision: Julius Gonsior, Claudio Hartmann, Wolfgang Lehner

Student Project Theses (1)

Implementierung des Backends der aufgezeichneten Webseiten-Topographie in einer Graphdatenbank und Speicherung von Screenshots
Beleg Jessica September 8th, 2021 until March 7th, 2022
Supervision: Julius Gonsior, Claudio Hartmann, Wolfgang Lehner

Our Team

Dipl.-Inf. Julius Gonsior

Research Interests

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

ALWars: Combat-Based Evaluation of Active Learning Strategies.

ImitAL: Learning Active Learning Strategies from Synthetic Data.

Pre-Trained Web Table Embeddings for Table Discovery.

WeakAL: Combining Active Learning and Weak Supervision.

Active Learning for Spreadsheet Cell Classification.

XLIndy: Interactive Recognition and Information Extraction in Spreadsheets.

Winter Term 2019/20