Publikationen -

Poker, Y., von Hardenberg, S., Hofmann, W., Tang, M., Baumann, U., Schwerk, N., Wetzke, M., Lindenthal, V., Auber, B., Schlegelberger, B., Ott, H., von Bismarck, P., Viemann, D., Dressler, F., Klemann, C., and Bergmann, A. K. (2023)Systematic genetic analysis of pediatric patients with autoinflammatory diseases, Frontiers in Genetics, Frontiers Media {SA} 14.

URLBibTeXEndNoteBibSonomy

@article{Poker_2023,
author = {Poker, Yvonne and von Hardenberg, Sandra and Hofmann, Winfried and Tang, Ming and Baumann, Ulrich and Schwerk, Nicolaus and Wetzke, Martin and Lindenthal, Viola and Auber, Bernd and Schlegelberger, Brigitte and Ott, Hagen and von Bismarck, Philipp and Viemann, Dorothee and Dressler, Frank and Klemann, Christian and Bergmann, Anke Katharina},
journal = {Frontiers in Genetics},
keywords = {l3s},
month = {01},
publisher = {Frontiers Media {SA}},
title = {Systematic genetic analysis of pediatric patients with autoinflammatory diseases},
volume = 14,
year = 2023
}
%0 Journal Article
%1 Poker_2023
%A Poker, Yvonne
%A von Hardenberg, Sandra
%A Hofmann, Winfried
%A Tang, Ming
%A Baumann, Ulrich
%A Schwerk, Nicolaus
%A Wetzke, Martin
%A Lindenthal, Viola
%A Auber, Bernd
%A Schlegelberger, Brigitte
%A Ott, Hagen
%A von Bismarck, Philipp
%A Viemann, Dorothee
%A Dressler, Frank
%A Klemann, Christian
%A Bergmann, Anke Katharina
%D 2023
%I Frontiers Media {SA}
%J Frontiers in Genetics
%R 10.3389/fgene.2023.1065907
%T Systematic genetic analysis of pediatric patients with autoinflammatory diseases
%U https://doi.org/10.3389%2Ffgene.2023.1065907
%V 14
Mast, M., Marschollek, M., Jack, T., Wulff, A., and Elise Study, G. (2022)Developing a Data Driven Approach for Early Detection of SIRS in Pediatric Intensive Care Using Automatically Labeled Training Data, Stud Health Technol Inform 289, 228–231.

URLBibTeXEndNoteBibSonomy

@article{RN11,
author = {Mast, M. and Marschollek, M. and Jack, T. and Wulff, A. and Elise Study, Group},
journal = {Stud Health Technol Inform},
keywords = {l3s},
pages = {228-231},
title = {Developing a Data Driven Approach for Early Detection of SIRS in Pediatric Intensive Care Using Automatically Labeled Training Data},
type = {Journal Article},
volume = 289,
year = 2022
}
%0 Journal Article
%1 RN11
%A Mast, M.
%A Marschollek, M.
%A Jack, T.
%A Wulff, A.
%A Elise Study, Group
%D 2022
%J Stud Health Technol Inform
%P 228-231
%R 10.3233/SHTI210901
%T Developing a Data Driven Approach for Early Detection of SIRS in Pediatric Intensive Care Using Automatically Labeled Training Data
%U https://www.ncbi.nlm.nih.gov/pubmed/35062134
%V 289
Stahl, M., Spliethöver, M., and Wachsmuth, H. (2022)To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation. In Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science.

BibTeXEndNoteBibSonomy

@inproceedings{Stahl_Spliethöver_Wachsmuth,
author = {Stahl, Maja and Spliethöver, Maximilian and Wachsmuth, Henning},
booktitle = {Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science},
keywords = {leibnizailab},
title = {To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation},
year = 2022
}
%0 Conference Paper
%1 Stahl_Spliethöver_Wachsmuth
%A Stahl, Maja
%A Spliethöver, Maximilian
%A Wachsmuth, Henning
%B Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science
%D 2022
%T To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation
Alshomary, M., and Stahl, M. (2022)Argument Novelty and Validity Assessment via Multitask and Transfer Learning. In Proceedings of the 9th Workshop on Argument Mining, pp. 111–114, International Conference on Computational Linguistics.

BibTeXEndNoteBibSonomy

@inproceedings{Alshomary_Stahl_2022,
author = {Alshomary, Milad and Stahl, Maja},
booktitle = {Proceedings of the 9th Workshop on Argument Mining},
keywords = {leibnizailab},
pages = {111–114},
publisher = {International Conference on Computational Linguistics},
title = {Argument Novelty and Validity Assessment via Multitask and Transfer Learning},
year = 2022
}
%0 Conference Paper
%1 Alshomary_Stahl_2022
%A Alshomary, Milad
%A Stahl, Maja
%B Proceedings of the 9th Workshop on Argument Mining
%D 2022
%I International Conference on Computational Linguistics
%P 111–114
%T Argument Novelty and Validity Assessment via Multitask and Transfer Learning
Sass, R., Bergman, E., Biedenkapp, A., Hutter, F., and Lindauer, M. (2022)DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning. In ICML Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML), arXiv.

URLBibTeXEndNoteBibSonomy

@inproceedings{https://doi.org/10.48550/arxiv.2206.03493,
author = {Sass, René and Bergman, Eddie and Biedenkapp, André and Hutter, Frank and Lindauer, Marius},
booktitle = {ICML Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML)},
keywords = {leibnizailab},
publisher = {arXiv},
title = {DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning},
year = 2022
}
%0 Conference Paper
%1 https://doi.org/10.48550/arxiv.2206.03493
%A Sass, René
%A Bergman, Eddie
%A Biedenkapp, André
%A Hutter, Frank
%A Lindauer, Marius
%B ICML Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML)
%D 2022
%I arXiv
%R 10.48550/ARXIV.2206.03493
%T DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning
%U https://arxiv.org/abs/2206.03493
Benjamins, C., Jankovic, A., Raponi, E., van der Blom, K., Lindauer, M., and Doerr, C. (2022)Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis. In Workshop on Meta-Learning (MetaLearn 2022).

URLBibTeXEndNoteBibSonomy

@inproceedings{benjamins2022towards,
author = {Benjamins, Carolin and Jankovic, Anja and Raponi, Elena and van der Blom, Koen and Lindauer, Marius and Doerr, Carola},
booktitle = {Workshop on Meta-Learning (MetaLearn 2022)},
keywords = {leibnizailab},
title = {Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis},
year = 2022
}
%0 Conference Paper
%1 benjamins2022towards
%A Benjamins, Carolin
%A Jankovic, Anja
%A Raponi, Elena
%A van der Blom, Koen
%A Lindauer, Marius
%A Doerr, Carola
%B Workshop on Meta-Learning (MetaLearn 2022)
%D 2022
%T Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis
%U https://www.ai.uni-hannover.de/de/forschung/publikationen/publikationen-detailansicht?tx_t3luhpublications_publications%5Baction%5D=show&tx_t3luhpublications_publications%5Bcontroller%5D=Publication&tx_t3luhpublications_publications%5Bpublication%5D=7783&cHash=04b8ffd50e56727ae4181c8e2a2261f1
Chen, W.-F., Chen, M.-H., Mudgal, G., and Wachsmuth, H. (2022)Analyzing Culture-Specific Argument Structures in Learner Essays. In Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022), pp. 51–61.

BibTeXEndNoteBibSonomy

@inproceedings{Chen_Chen_Mudgal_Wachsmuth_2022,
author = {Chen, Wei-Fan and Chen, Mei-Hua and Mudgal, Garima and Wachsmuth, Henning},
booktitle = {Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022)},
keywords = {leibnizailab},
pages = {51–61},
title = {Analyzing Culture-Specific Argument Structures in Learner Essays},
year = 2022
}
%0 Conference Paper
%1 Chen_Chen_Mudgal_Wachsmuth_2022
%A Chen, Wei-Fan
%A Chen, Mei-Hua
%A Mudgal, Garima
%A Wachsmuth, Henning
%B Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022)
%D 2022
%P 51–61
%T Analyzing Culture-Specific Argument Structures in Learner Essays
Biedenkapp, A., Speck, D., Sievers, S., Hutter, F., Lindauer, M., and Seipp, J. (2022)Learning Domain-Independent Policies for Open List Selection. In Proceedings of the 3rd ICAPS workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL), pp. 1–9.

BibTeXEndNoteBibSonomy

@inproceedings{BieSpe2022,
author = {Biedenkapp, André and Speck, David and Sievers, Silvan and Hutter, Frank and Lindauer, Marius and Seipp, Jendrik},
booktitle = {Proceedings of the 3rd ICAPS workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL)},
keywords = {leibnizailab},
pages = {1-9},
title = {Learning Domain-Independent Policies for Open List Selection},
year = 2022
}
%0 Conference Paper
%1 BieSpe2022
%A Biedenkapp, André
%A Speck, David
%A Sievers, Silvan
%A Hutter, Frank
%A Lindauer, Marius
%A Seipp, Jendrik
%B Proceedings of the 3rd ICAPS workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL)
%D 2022
%P 1-9
%T Learning Domain-Independent Policies for Open List Selection
Alshomary, M., El Baff, R., Gurcke, T., and Wachsmuth, H. (2022)The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, pp. 8782–8797.

BibTeXEndNoteBibSonomy

@inproceedings{alshomary2022moral,
author = {Alshomary, Milad and El Baff, Roxanne and Gurcke, Timon and Wachsmuth, Henning},
booktitle = {Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics},
keywords = {leibnizailab},
pages = {8782–8797},
title = {The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments},
year = 2022
}
%0 Conference Paper
%1 alshomary2022moral
%A Alshomary, Milad
%A El Baff, Roxanne
%A Gurcke, Timon
%A Wachsmuth, Henning
%B Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics
%D 2022
%P 8782–8797
%T The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments
Parker-Holder, J., Rajan, R., Song, X., Biedenkapp, A., Miao, Y., Eimer, T., Zhang, B., Nguyen, V., Calandra, R., Faust, A., Hutter, F., and Lindauer, M. (2022)Automated Reinforcement Learning (AutoRL): A Survey and Open Problems, Journal of Artificial Intelligence Research 74 (2022) 517–568.

BibTeXEndNoteBibSonomy

@article{2201.03916,
author = {Parker-Holder, Jack and Rajan, Raghu and Song, Xingyou and Biedenkapp, André and Miao, Yingjie and Eimer, Theresa and Zhang, Baohe and Nguyen, Vu and Calandra, Roberto and Faust, Aleksandra and Hutter, Frank and Lindauer, Marius},
journal = {Journal of Artificial Intelligence Research 74 (2022)},
keywords = {AutoML},
pages = {517-568},
title = {Automated Reinforcement Learning (AutoRL): A Survey and Open Problems},
year = 2022
}
%0 Journal Article
%1 2201.03916
%A Parker-Holder, Jack
%A Rajan, Raghu
%A Song, Xingyou
%A Biedenkapp, André
%A Miao, Yingjie
%A Eimer, Theresa
%A Zhang, Baohe
%A Nguyen, Vu
%A Calandra, Roberto
%A Faust, Aleksandra
%A Hutter, Frank
%A Lindauer, Marius
%D 2022
%J Journal of Artificial Intelligence Research 74 (2022)
%P 517-568
%R 10.1613/jair.1.13596
%T Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Dockhorn, A., and Kruse, R. (2022)Balancing Exploration and Exploitation in Forward Model Learning, Advances in Intelligent Systems Research and Innovation 1–19.

URLBibTeXEndNoteBibSonomy

@article{DocKru2022,
author = {Dockhorn, Alexander and Kruse, Rudolf},
journal = {Advances in Intelligent Systems Research and Innovation},
keywords = {Exploration},
pages = {1--19},
title = {Balancing Exploration and Exploitation in Forward Model Learning},
year = 2022
}
%0 Journal Article
%1 DocKru2022
%A Dockhorn, Alexander
%A Kruse, Rudolf
%D 2022
%J Advances in Intelligent Systems Research and Innovation
%P 1--19
%R 10.1007/978-3-030-78124-8_1
%T Balancing Exploration and Exploitation in Forward Model Learning
%U https://doi.org/10.1007/978-3-030-78124-8_1
%@ 978-3-030-78124-8
Bondarenko, A., Fr{ö}be, M., Kiesel, J., Syed, S., Gurcke, T., Beloucif, M., Panchenko, A., Biemann, C., Stein, B., Wachsmuth, H., Potthast, M., and Hagen, M. (2022)Overview of Touch{é} 2022: Argument Retrieval, CEUR Workshop Proceedings, CEUR WS 3180, 2867–2903.

AbstractBibTeXEndNoteBibSonomy

This paper is a report on the third year of the Touch{é} lab on argument retrieval hosted at CLEF 2022. With the goal of supporting and promoting the research and development of new technologies for argument mining and argument analysis, we have organized three shared tasks: (a) argument retrieval for controversial topics, where the task is to find sentences that reflect the gist of arguments from online debates, (b) argument retrieval for comparative issues, where the task is to find argumentative passages from web documents that help in making a comparative decision, and (c) image retrieval for arguments, where the task is to find images that show support for or opposition to a particular stance.
@article{c1861a701a4f42559399a794a05b1b29,
abstract = {This paper is a report on the third year of the Touch{é} lab on argument retrieval hosted at CLEF 2022. With the goal of supporting and promoting the research and development of new technologies for argument mining and argument analysis, we have organized three shared tasks: (a) argument retrieval for controversial topics, where the task is to find sentences that reflect the gist of arguments from online debates, (b) argument retrieval for comparative issues, where the task is to find argumentative passages from web documents that help in making a comparative decision, and (c) image retrieval for arguments, where the task is to find images that show support for or opposition to a particular stance.},
author = {Bondarenko, Alexander and Fr{ö}be, Maik and Kiesel, Johannes and Syed, Shahbaz and Gurcke, Timon and Beloucif, Meriem and Panchenko, Alexander and Biemann, Chris and Stein, Benno and Wachsmuth, Henning and Potthast, Martin and Hagen, Matthias},
journal = {CEUR Workshop Proceedings},
keywords = {leibnizailab},
note = {Funding Information: This work was partially supported by the Deutsche Forschungsgemeinschaft (DFG) through the projects “ACQuA 2.0” (Answering Comparative Questions with Arguments; project number 376430233) and “OASiS” (Objective Argument Summarization in Search; project number 455913891) as part of the priority program “RATIO: Robust Argumentation Machines” (SPP 1999), and the German Ministry for Science and Education (BMBF) through the project “SharKI” (Shared Tasks as an Innovative Approach to Implement AI and Big Data-based Applications within Universities; grant FKZ 16DHB4021). We are also grateful to Jan Heinrich Reimer for developing the TARGER Python library and Erik Reuter for expanding a document collection for Task 2 with docT5query.; 2022 Conference and Labs of the Evaluation Forum, CLEF 2022 ; Conference date: 05-09-2022 Through 08-09-2022},
pages = {2867--2903},
publisher = {CEUR WS},
title = {Overview of Touch{é} 2022: Argument Retrieval},
volume = 3180,
year = 2022
}
%0 Journal Article
%1 c1861a701a4f42559399a794a05b1b29
%A Bondarenko, Alexander
%A Fr{ö}be, Maik
%A Kiesel, Johannes
%A Syed, Shahbaz
%A Gurcke, Timon
%A Beloucif, Meriem
%A Panchenko, Alexander
%A Biemann, Chris
%A Stein, Benno
%A Wachsmuth, Henning
%A Potthast, Martin
%A Hagen, Matthias
%D 2022
%I CEUR WS
%J CEUR Workshop Proceedings
%P 2867--2903
%T Overview of Touch{é} 2022: Argument Retrieval
%V 3180
%X This paper is a report on the third year of the Touch{é} lab on argument retrieval hosted at CLEF 2022. With the goal of supporting and promoting the research and development of new technologies for argument mining and argument analysis, we have organized three shared tasks: (a) argument retrieval for controversial topics, where the task is to find sentences that reflect the gist of arguments from online debates, (b) argument retrieval for comparative issues, where the task is to find argumentative passages from web documents that help in making a comparative decision, and (c) image retrieval for arguments, where the task is to find images that show support for or opposition to a particular stance.
Dockhorn, A., Kirst, M., Mostaghim, S., Wieczorek, M., and Zille, H. (2022)Evolutionary Algorithm for Parameter Optimization of Context Steering Agents, IEEE Transactions on Games 1–12.

URLBibTeXEndNoteBibSonomy

@article{DocKir2022,
author = {Dockhorn, Alexander and Kirst, Martin and Mostaghim, Sanaz and Wieczorek, Martin and Zille, Heiner},
journal = {IEEE Transactions on Games},
keywords = {Algorithm},
pages = {1-12},
title = {Evolutionary Algorithm for Parameter Optimization of Context Steering Agents},
year = 2022
}
%0 Journal Article
%1 DocKir2022
%A Dockhorn, Alexander
%A Kirst, Martin
%A Mostaghim, Sanaz
%A Wieczorek, Martin
%A Zille, Heiner
%D 2022
%J IEEE Transactions on Games
%P 1-12
%R 10.1109/TG.2022.3157247
%T Evolutionary Algorithm for Parameter Optimization of Context Steering Agents
%U https://ieeexplore.ieee.org/document/9729529
Moosbauer, J., Casalicchio, G., Lindauer, M., and Bischl, B. (2022)Improving Accuracy of Interpretability Measures in Hyperparameter Optimization via Bayesian Algorithm Execution, arXiv.

URLBibTeXEndNoteBibSonomy

@misc{https://doi.org/10.48550/arxiv.2206.05447,
author = {Moosbauer, Julia and Casalicchio, Giuseppe and Lindauer, Marius and Bischl, Bernd},
keywords = {leibnizailab},
publisher = {arXiv},
title = {Improving Accuracy of Interpretability Measures in Hyperparameter Optimization via Bayesian Algorithm Execution},
year = 2022
}
%0 Generic
%1 https://doi.org/10.48550/arxiv.2206.05447
%A Moosbauer, Julia
%A Casalicchio, Giuseppe
%A Lindauer, Marius
%A Bischl, Bernd
%D 2022
%I arXiv
%R 10.48550/ARXIV.2206.05447
%T Improving Accuracy of Interpretability Measures in Hyperparameter Optimization via Bayesian Algorithm Execution
%U https://arxiv.org/abs/2206.05447
Grimm, E., Kuhnke, F., Gajdt, A., Ostermann, J., and Knoche, M. (2022)Accurate Quantification of Anthocyanin in Red Flesh Apples Using Digital Photography and Image Analysis, Horticulturae 8.

URLBibTeXEndNoteBibSonomy

@article{GriKuh2022,
author = {Grimm, Eckhard and Kuhnke, Felix and Gajdt, Anna and Ostermann, J{ö}rn and Knoche, Moritz},
journal = {Horticulturae},
keywords = {Flesh},
month = {01},
number = 2,
title = {Accurate Quantification of Anthocyanin in Red Flesh Apples Using Digital Photography and Image Analysis},
volume = 8,
year = 2022
}
%0 Journal Article
%1 GriKuh2022
%A Grimm, Eckhard
%A Kuhnke, Felix
%A Gajdt, Anna
%A Ostermann, J{ö}rn
%A Knoche, Moritz
%D 2022
%J Horticulturae
%N 2
%R https://doi.org/10.3390/horticulturae8020145
%T Accurate Quantification of Anthocyanin in Red Flesh Apples Using Digital Photography and Image Analysis
%U https://www.mdpi.com/2311-7524/8/2/145
%V 8
Reinders, C., Schubert, F., and Rosenhahn, B. (2022)ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing. In Arxiv Preprint.

BibTeXEndNoteBibSonomy

@inproceedings{ReiSch2022,
author = {Reinders, Christoph and Schubert, Frederik and Rosenhahn, Bodo},
booktitle = {Arxiv Preprint},
keywords = {Feature},
month = {03},
title = {ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing},
year = 2022
}
%0 Conference Paper
%1 ReiSch2022
%A Reinders, Christoph
%A Schubert, Frederik
%A Rosenhahn, Bodo
%B Arxiv Preprint
%D 2022
%T ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing
Guerrero-Viu, J., Hauns, S., Izquierdo, S., Miotto, G., Schrodi, S., Biedenkapp, A., Elsken, T., Deng, D., Lindauer, M., and Hutter, F. (2021)Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization. In Proceedings of the international workshop on Automated Machine Learning (AutoML) at ICML’21.

URLBibTeXEndNoteBibSonomy

@inproceedings{GueHau2021a,
author = {Guerrero-Viu, Julia and Hauns, Sven and Izquierdo, Sergio and Miotto, Guilherme and Schrodi, Simon and Biedenkapp, Andre and Elsken, Thomas and Deng, Difan and Lindauer, Marius and Hutter, Frank},
booktitle = {Proceedings of the international workshop on Automated Machine Learning (AutoML) at ICML'21},
keywords = {Optimization},
month = {07},
title = {Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization},
year = 2021
}
%0 Conference Paper
%1 GueHau2021a
%A Guerrero-Viu, Julia
%A Hauns, Sven
%A Izquierdo, Sergio
%A Miotto, Guilherme
%A Schrodi, Simon
%A Biedenkapp, Andre
%A Elsken, Thomas
%A Deng, Difan
%A Lindauer, Marius
%A Hutter, Frank
%B Proceedings of the international workshop on Automated Machine Learning (AutoML) at ICML'21
%D 2021
%T Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization
%U https://arxiv.org/abs/2105.01015
Ilyas, Z., Sharif, N., Schousboe, J. T., Lewis, J. R., Suter, D., and Gilani, S. Z. (2021)GuideNet: Learning Inter- Vertebral Guides in DXA Lateral Spine Images. In 2021 Digital Image Computing: Techniques and Applications (DICTA), pp. 01–07.

BibTeXEndNoteBibSonomy

@inproceedings{9647067,
author = {Ilyas, Zaid and Sharif, Naeha and Schousboe, John T. and Lewis, Joshua R. and Suter, David and Gilani, Syed Zulqarnain},
booktitle = {2021 Digital Image Computing: Techniques and Applications (DICTA)},
keywords = {leibnizailab},
pages = {01-07},
title = {GuideNet: Learning Inter- Vertebral Guides in DXA Lateral Spine Images},
year = 2021
}
%0 Conference Paper
%1 9647067
%A Ilyas, Zaid
%A Sharif, Naeha
%A Schousboe, John T.
%A Lewis, Joshua R.
%A Suter, David
%A Gilani, Syed Zulqarnain
%B 2021 Digital Image Computing: Techniques and Applications (DICTA)
%D 2021
%P 01-07
%R 10.1109/DICTA52665.2021.9647067
%T GuideNet: Learning Inter- Vertebral Guides in DXA Lateral Spine Images
Tennakoon, R., Suter, D., Zhang, E., Chin, T.-J., and Bab-Hadiashar, A. (2021)Consensus Maximisation Using Influences of Monotone Boolean Functions. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2865–2874.

BibTeXEndNoteBibSonomy

@inproceedings{BMFcvpr2021,
author = {Tennakoon, Ruwan and Suter, David and Zhang, Erchuan and Chin, Tat-Jun and Bab-Hadiashar, Alireza},
booktitle = {2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {leibnizailab},
note = {Oral Presentation (17\% of accepted papers, roughly 3\% of sumitted papers)},
pages = {2865-2874},
title = {Consensus Maximisation Using Influences of Monotone Boolean Functions},
year = 2021
}
%0 Conference Paper
%1 BMFcvpr2021
%A Tennakoon, Ruwan
%A Suter, David
%A Zhang, Erchuan
%A Chin, Tat-Jun
%A Bab-Hadiashar, Alireza
%B 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
%D 2021
%P 2865-2874
%R 10.1109/CVPR46437.2021.00289
%T Consensus Maximisation Using Influences of Monotone Boolean Functions
Pestel-Schiller, U., Hu, K., Gritzner, D., and Ostermann, J. (2021)Determination of Relevant Hyperspectral Bands Using a Spectrally Constrained CNN. In 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Paper 15.

BibTeXEndNoteBibSonomy

@inproceedings{PesHu2021a,
author = {Pestel-Schiller, Ulrike and Hu, Kai and Gritzner, Daniel and Ostermann, J{ö}rn},
booktitle = {11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Paper 15},
keywords = {Relevant},
month = {03},
title = {Determination of Relevant Hyperspectral Bands Using a Spectrally Constrained CNN},
year = 2021
}
%0 Conference Paper
%1 PesHu2021a
%A Pestel-Schiller, Ulrike
%A Hu, Kai
%A Gritzner, Daniel
%A Ostermann, J{ö}rn
%B 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Paper 15
%D 2021
%T Determination of Relevant Hyperspectral Bands Using a Spectrally Constrained CNN
Rumberg, L., Ehlert, H., L{ü}dtke, U., and Ostermann, J. (2021)Age-Invariant Training for End-to-End Child Speech Recognition using Adversarial Multi-Task Learning. In Proceedings INTERSPEECH 2021 -- 22th Annual Conference of the International Speech Communication Association.

BibTeXEndNoteBibSonomy

@inproceedings{RumEhl2021,
author = {Rumberg, Lars and Ehlert, Hanna and L{ü}dtke, Ulrike and Ostermann, J{ö}rn},
booktitle = {Proceedings INTERSPEECH 2021 -- 22th Annual Conference of the International Speech Communication Association},
keywords = {Recognition},
month = {08},
title = {Age-Invariant Training for End-to-End Child Speech Recognition using Adversarial Multi-Task Learning},
year = 2021
}
%0 Conference Paper
%1 RumEhl2021
%A Rumberg, Lars
%A Ehlert, Hanna
%A L{ü}dtke, Ulrike
%A Ostermann, J{ö}rn
%B Proceedings INTERSPEECH 2021 -- 22th Annual Conference of the International Speech Communication Association
%D 2021
%T Age-Invariant Training for End-to-End Child Speech Recognition using Adversarial Multi-Task Learning
Benjamins, C., Eimer, T., Schubert, F., Biedenkapp, A., Rosenhahn, B., Hutter, F., and Lindauer, M. (2021)CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning. In NeurIPS 2021 Workshop on Ecological Theory of Reinforcement Learning.

BibTeXEndNoteBibSonomy

@inproceedings{BenEim2021a,
author = {Benjamins, Carolin and Eimer, Theresa and Schubert, Frederik and Biedenkapp, André and Rosenhahn, Bodo and Hutter, Frank and Lindauer, Marius},
booktitle = {NeurIPS 2021 Workshop on Ecological Theory of Reinforcement Learning},
keywords = {Reinforcement},
month = 12,
title = {CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning},
year = 2021
}
%0 Conference Paper
%1 BenEim2021a
%A Benjamins, Carolin
%A Eimer, Theresa
%A Schubert, Frederik
%A Biedenkapp, André
%A Rosenhahn, Bodo
%A Hutter, Frank
%A Lindauer, Marius
%B NeurIPS 2021 Workshop on Ecological Theory of Reinforcement Learning
%D 2021
%T CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
Hachmann, H., Kr{ü}ger, B., Rosenhahn, B., and Nogueira, W. (2021)Localization of Cochlear Implant Electrodes from Cone Beam Computed Tomography using Particle Belief Propagation. In International Symposium on Biomedical Imaging, ISBI.

URLBibTeXEndNoteBibSonomy

@inproceedings{HacKru2021a,
author = {Hachmann, Hendrik and Kr{ü}ger, Benjamin and Rosenhahn, Bodo and Nogueira, Waldo},
booktitle = {International Symposium on Biomedical Imaging, ISBI},
keywords = {Computed},
month = {04},
title = {Localization of Cochlear Implant Electrodes from Cone Beam Computed Tomography using Particle Belief Propagation},
year = 2021
}
%0 Conference Paper
%1 HacKru2021a
%A Hachmann, Hendrik
%A Kr{ü}ger, Benjamin
%A Rosenhahn, Bodo
%A Nogueira, Waldo
%B International Symposium on Biomedical Imaging, ISBI
%D 2021
%T Localization of Cochlear Implant Electrodes from Cone Beam Computed Tomography using Particle Belief Propagation
%U https://arxiv.org/abs/2103.10434
Eggensperger, K., M{ü}ller, P., Mallik, N., Feurer, M., Sass, R., Klein, A., Awad, N., Lindauer, M., and Hutter, F. (2021)HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO. In Proceedings of the international conference on Neural Information Processing Systems (NeurIPS) (Datasets and Benchmarks Track).

URLBibTeXEndNoteBibSonomy

@inproceedings{EggMue2021,
author = {Eggensperger, Katharina and M{ü}ller, Philipp and Mallik, Neeratyoy and Feurer, Matthias and Sass, René and Klein, Aaron and Awad, Noor and Lindauer, Marius and Hutter, Frank},
booktitle = {Proceedings of the international conference on Neural Information Processing Systems (NeurIPS) (Datasets and Benchmarks Track)},
keywords = {HPOBench},
month = 12,
title = {HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO},
year = 2021
}
%0 Conference Paper
%1 EggMue2021
%A Eggensperger, Katharina
%A M{ü}ller, Philipp
%A Mallik, Neeratyoy
%A Feurer, Matthias
%A Sass, René
%A Klein, Aaron
%A Awad, Noor
%A Lindauer, Marius
%A Hutter, Frank
%B Proceedings of the international conference on Neural Information Processing Systems (NeurIPS) (Datasets and Benchmarks Track)
%D 2021
%T HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
%U https://arxiv.org/abs/2109.06716
Pestel-Schiller, U., and Ostermann, J. (2021)Interpreter-Based Evaluation of Compressed SAR Images Using JPEG and HEVC Intra Coding: Compression Can Improve Usability. In 13th European Conference on Synthetic Aperture Radar.

BibTeXEndNoteBibSonomy

@inproceedings{PesOst2021a,
author = {Pestel-Schiller, Ulrike and Ostermann, J{ö}rn},
booktitle = {13th European Conference on Synthetic Aperture Radar},
keywords = {Compressed},
month = {03},
title = {Interpreter-Based Evaluation of Compressed SAR Images Using JPEG and HEVC Intra Coding: Compression Can Improve Usability},
year = 2021
}
%0 Conference Paper
%1 PesOst2021a
%A Pestel-Schiller, Ulrike
%A Ostermann, J{ö}rn
%B 13th European Conference on Synthetic Aperture Radar
%D 2021
%T Interpreter-Based Evaluation of Compressed SAR Images Using JPEG and HEVC Intra Coding: Compression Can Improve Usability
Knura, M., Kluger, F., Zahtila, M., Schiewe, J., Rosenhahn, B., and Burghardt, D. (2021)Using Object Detection on Social Media Images for Urban Bicycle Infrastructure Planning: A Case Study of Dresden, ISPRS International Journal of Geo-Information.

URLBibTeXEndNoteBibSonomy

@article{KnuKlu2021,
author = {Knura, Martin and Kluger, Florian and Zahtila, Moris and Schiewe, Jochen and Rosenhahn, Bodo and Burghardt, Dirk},
journal = {ISPRS International Journal of Geo-Information},
keywords = {Bicycle},
month = 10,
title = {Using Object Detection on Social Media Images for Urban Bicycle Infrastructure Planning: A Case Study of Dresden},
year = 2021
}
%0 Journal Article
%1 KnuKlu2021
%A Knura, Martin
%A Kluger, Florian
%A Zahtila, Moris
%A Schiewe, Jochen
%A Rosenhahn, Bodo
%A Burghardt, Dirk
%D 2021
%J ISPRS International Journal of Geo-Information
%R 10.3390/ijgi10110733
%T Using Object Detection on Social Media Images for Urban Bicycle Infrastructure Planning: A Case Study of Dresden
%U https://doi.org/10.3390%2Fijgi10110733
Dockhorn, A., and Kruse, R. (2021)Modelheuristics for efficient forward model learning, At-Automatisierungstechnik.

URLBibTeXEndNoteBibSonomy

@article{DocKru2021a,
author = {Dockhorn, Alexander and Kruse, Rudolf},
journal = {At-Automatisierungstechnik},
keywords = {for},
month = 10,
title = {Modelheuristics for efficient forward model learning},
year = 2021
}
%0 Journal Article
%1 DocKru2021a
%A Dockhorn, Alexander
%A Kruse, Rudolf
%D 2021
%J At-Automatisierungstechnik
%R 10.1515/auto-2021-0037
%T Modelheuristics for efficient forward model learning
%U https://www.degruyter.com/document/doi/10.1515/auto-2021-0037/html
Schubert, F., Eimer, T., Rosenhahn, B., and Lindauer, M. (2021)Towards Automatic Risk Adaption in Distributional Reinforcement Learning. In Reinforcement Learning for Real Life (RL4RealLife) Workshop in the 38th International Conference on Machine Learning (ICML).

URLBibTeXEndNoteBibSonomy

@inproceedings{SchEim2021b,
author = {Schubert, Frederik and Eimer, Theresa and Rosenhahn, Bodo and Lindauer, Marius},
booktitle = {Reinforcement Learning for Real Life (RL4RealLife) Workshop in the 38th International Conference on Machine Learning (ICML)},
keywords = {Reinforcement},
month = {07},
title = {Towards Automatic Risk Adaption in Distributional Reinforcement Learning},
year = 2021
}
%0 Conference Paper
%1 SchEim2021b
%A Schubert, Frederik
%A Eimer, Theresa
%A Rosenhahn, Bodo
%A Lindauer, Marius
%B Reinforcement Learning for Real Life (RL4RealLife) Workshop in the 38th International Conference on Machine Learning (ICML)
%D 2021
%T Towards Automatic Risk Adaption in Distributional Reinforcement Learning
%U https://arxiv.org/abs/2106.06317
Lindauer, M., Eggensperger, K., Feurer, M., Biedenkapp, A., Deng, D., Benjamins, C., Sass, R., and Hutter, F. (2021)SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization. In ArXiv: 2109.09831.

URLBibTeXEndNoteBibSonomy

@inproceedings{LinEgg2021,
author = {Lindauer, Marius and Eggensperger, Katharina and Feurer, Matthias and Biedenkapp, André and Deng, Difan and Benjamins, Carolin and Sass, René and Hutter, Frank},
booktitle = {ArXiv: 2109.09831},
keywords = {SMAC3},
title = {SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization},
year = 2021
}
%0 Conference Paper
%1 LinEgg2021
%A Lindauer, Marius
%A Eggensperger, Katharina
%A Feurer, Matthias
%A Biedenkapp, André
%A Deng, Difan
%A Benjamins, Carolin
%A Sass, René
%A Hutter, Frank
%B ArXiv: 2109.09831
%D 2021
%T SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
%U https://arxiv.org/abs/2109.09831
Narisetti, N., Henke, M., Seiler, C., Junker, A., Ostermann, J., Altmann, T., and Gladilin, E. (2021)Fully-automated root image analysis (faRIA), Scientific Reports 11.

URLBibTeXEndNoteBibSonomy

@article{NarHen2021,
author = {Narisetti, Narendra and Henke, Michael and Seiler, Christiane and Junker, Astrid and Ostermann, J{ö}rn and Altmann, Thomas and Gladilin, Evgeny},
journal = {Scientific Reports},
keywords = {analysis},
month = {08},
title = {Fully-automated root image analysis (faRIA)},
volume = 11,
year = 2021
}
%0 Journal Article
%1 NarHen2021
%A Narisetti, Narendra
%A Henke, Michael
%A Seiler, Christiane
%A Junker, Astrid
%A Ostermann, J{ö}rn
%A Altmann, Thomas
%A Gladilin, Evgeny
%D 2021
%J Scientific Reports
%R https://doi.org/10.1038/s41598-021-95480-y
%T Fully-automated root image analysis (faRIA)
%U https://www.nature.com/articles/s41598-021-95480-y
%V 11
Kluger, F., Ackermann, H., Brachmann, E., Yang, M. Y., and Rosenhahn, B. (2021)Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images. In CVPR.

BibTeXEndNoteBibSonomy

@inproceedings{KluAck2021a,
author = {Kluger, Florian and Ackermann, Hanno and Brachmann, Eric and Yang, Michael Ying and Rosenhahn, Bodo},
booktitle = {CVPR},
keywords = {Cuboids},
month = {06},
title = {Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images},
year = 2021
}
%0 Conference Paper
%1 KluAck2021a
%A Kluger, Florian
%A Ackermann, Hanno
%A Brachmann, Eric
%A Yang, Michael Ying
%A Rosenhahn, Bodo
%B CVPR
%D 2021
%T Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images
Hutter, F., Fuks, L., Lindauer, M., and Awad, N. (2021)Method, device and computer program for producing a strategy for a robot.

URLBibTeXEndNoteBibSonomy

@article{HutFuk2021,
author = {Hutter, Frank and Fuks, Lior and Lindauer, Marius and Awad, Noor},
keywords = {strategy},
title = {Method, device and computer program for producing a strategy for a robot},
year = 2021
}
%0 Journal Article
%1 HutFuk2021
%A Hutter, Frank
%A Fuks, Lior
%A Lindauer, Marius
%A Awad, Noor
%D 2021
%T Method, device and computer program for producing a strategy for a robot
%U https://patentimages.storage.googleapis.com/8b/43/4d/a2876517a8f945/US20210008718A1.pdf
Schubert, F., Awiszus, M., and Rosenhahn, B. (2021)TOAD-GAN: a Flexible Framework for Few-Shot Level Generation in Token-Based Games, IEEE Transactions on Games.

URLBibTeXEndNoteBibSonomy

@article{SchAwi2021,
author = {Schubert, Frederik and Awiszus, Maren and Rosenhahn, Bodo},
journal = {IEEE Transactions on Games},
keywords = {TOAD-GAN},
month = {03},
note = {10 pages, 14 figures.},
title = {TOAD-GAN: a Flexible Framework for Few-Shot Level Generation in Token-Based Games},
year = 2021
}
%0 Journal Article
%1 SchAwi2021
%A Schubert, Frederik
%A Awiszus, Maren
%A Rosenhahn, Bodo
%D 2021
%J IEEE Transactions on Games
%R 10.1109/TG.2021.3069833
%T TOAD-GAN: a Flexible Framework for Few-Shot Level Generation in Token-Based Games
%U https://ieeexplore.ieee.org/document/9390320
Benjak, M., Meuel, H., Laude, T., and Ostermann, J. (2021)Enhanced Machine Learning-based Inter Coding for VVC. In 2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (ICAIIC 2021).

BibTeXEndNoteBibSonomy

@inproceedings{BenMeu2021,
author = {Benjak, Martin and Meuel, Holger and Laude, Thorsten and Ostermann, J{ö}rn},
booktitle = {2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (ICAIIC 2021)},
keywords = {for},
month = {04},
note = {accepted for publication},
title = {Enhanced Machine Learning-based Inter Coding for VVC},
year = 2021
}
%0 Conference Paper
%1 BenMeu2021
%A Benjak, Martin
%A Meuel, Holger
%A Laude, Thorsten
%A Ostermann, J{ö}rn
%B 2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (ICAIIC 2021)
%D 2021
%T Enhanced Machine Learning-based Inter Coding for VVC
Hornakova*, A., Kaiser*, T., Rolinek, M., Rosenhahn, B., Swoboda, P., Henschel, R., and equal contribution), (*. (2021)Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths. In International Conference on Computer Vision (ICCV).

URLBibTeXEndNoteBibSonomy

@inproceedings{HorKai2021,
author = {Hornakova*, Andrea and Kaiser*, Timo and Rolinek, Michal and Rosenhahn, Bodo and Swoboda, Paul and Henschel, Roberto and equal contribution), (*},
booktitle = {International Conference on Computer Vision (ICCV)},
keywords = {Scalable},
month = 10,
title = {Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths},
year = 2021
}
%0 Conference Paper
%1 HorKai2021
%A Hornakova*, Andrea
%A Kaiser*, Timo
%A Rolinek, Michal
%A Rosenhahn, Bodo
%A Swoboda, Paul
%A Henschel, Roberto
%A equal contribution), (*
%B International Conference on Computer Vision (ICCV)
%D 2021
%T Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths
%U https://arxiv.org/abs/2108.10606
Eimer, T., Biedenkapp, A., Reimer, M., Adriaensen, S., Hutter, F., and Lindauer, M. (2021)DACBench: A Benchmark Library for Dynamic Algorithm Configuration. In Proceedings of the international joint conference on artificial intelligence (IJCAI).

URLBibTeXEndNoteBibSonomy

@inproceedings{EimBie2021b,
author = {Eimer, Theresa and Biedenkapp, André and Reimer, Maximilian and Adriaensen, Steven and Hutter, Frank and Lindauer, Marius},
booktitle = {Proceedings of the international joint conference on artificial intelligence (IJCAI)},
keywords = {leibnizailab},
month = {08},
note = {To appear.},
title = {DACBench: A Benchmark Library for Dynamic Algorithm Configuration},
year = 2021
}
%0 Conference Paper
%1 EimBie2021b
%A Eimer, Theresa
%A Biedenkapp, André
%A Reimer, Maximilian
%A Adriaensen, Steven
%A Hutter, Frank
%A Lindauer, Marius
%B Proceedings of the international joint conference on artificial intelligence (IJCAI)
%D 2021
%T DACBench: A Benchmark Library for Dynamic Algorithm Configuration
%U https://arxiv.org/abs/2105.08541
Dockhorn, A., Hurtado-Grueso, J., Jeurissen, D., Xu, L., and Perez-Liebana, D. (2021)Portfolio Search and Optimization for General Strategy Game-Playing. In 2021 IEEE Congress on Evolutionary Computation (CEC), pp. 2085–2092.

URLBibTeXEndNoteBibSonomy

@inproceedings{DocHur2021,
author = {Dockhorn, Alexander and Hurtado-Grueso, Jorge and Jeurissen, Dominik and Xu, Linjie and Perez-Liebana, Diego},
booktitle = {2021 IEEE Congress on Evolutionary Computation (CEC)},
keywords = {Search},
pages = {2085-2092},
title = {Portfolio Search and Optimization for General Strategy Game-Playing},
year = 2021
}
%0 Conference Paper
%1 DocHur2021
%A Dockhorn, Alexander
%A Hurtado-Grueso, Jorge
%A Jeurissen, Dominik
%A Xu, Linjie
%A Perez-Liebana, Diego
%B 2021 IEEE Congress on Evolutionary Computation (CEC)
%D 2021
%P 2085-2092
%R 10.1109/CEC45853.2021.9504824
%T Portfolio Search and Optimization for General Strategy Game-Playing
%U https://ieeexplore.ieee.org/document/9504824
Eimer, T., Biedenkapp, A., Hutter, F., and Lindauer, M. (2021)Self-Paced Context Evaluation for Contextual Reinforcement Learning. In Proceedings of the international conference on machine learning (ICML).

URLBibTeXEndNoteBibSonomy

@inproceedings{EimBie2021a,
author = {Eimer, Theresa and Biedenkapp, Andre and Hutter, Frank and Lindauer, Marius},
booktitle = {Proceedings of the international conference on machine learning (ICML)},
keywords = {Reinforcement},
month = {07},
note = {To appear},
title = {Self-Paced Context Evaluation for Contextual Reinforcement Learning},
year = 2021
}
%0 Conference Paper
%1 EimBie2021a
%A Eimer, Theresa
%A Biedenkapp, Andre
%A Hutter, Frank
%A Lindauer, Marius
%B Proceedings of the international conference on machine learning (ICML)
%D 2021
%T Self-Paced Context Evaluation for Contextual Reinforcement Learning
%U https://arxiv.org/abs/2106.05110
Kaushal, A., Saha, A., and Ganguly, N. (2021)tWT–WT: A Dataset to Assert the Role of Target Entities for Detecting Stance of Tweets, pp. 3879–3889.

AbstractBibTeXEndNoteBibSonomy

The stance detection task aims at detecting the stance of a tweet or a text for a target. These targets can be named entities or free-form sentences (claims). Though the task involves reasoning of the tweet with respect to a target, we find that it is possible to achieve high accuracy on several publicly available Twitter stance detection datasets without looking at the target sentence. Specifically, a simple tweet classification model achieved human-level performance on the WT–WT dataset and more than two-third accuracy on various other datasets. We investigate the existence of biases in such datasets to find the potential spurious correlations of sentiment-stance relations and lexical choice associated with the stance category. Furthermore, we propose a new large dataset free of such biases and demonstrate its aptness on the existing stance detection systems. Our empirical findings show much scope for research on the stance detection task and proposes several considerations for creating future stance detection datasets.
@proceedings{J,
abstract = {The stance detection task aims at detecting the stance of a tweet or a text for a target. These targets can be named entities or free-form sentences (claims). Though the task involves reasoning of the tweet with respect to a target, we find that it is possible to achieve high accuracy on several publicly available Twitter stance detection datasets without looking at the target sentence. Specifically, a simple tweet classification model achieved human-level performance on the WT–WT dataset and more than two-third accuracy on various other datasets. We investigate the existence of biases in such datasets to find the potential spurious correlations of sentiment-stance relations and lexical choice associated with the stance category. Furthermore, we propose a new large dataset free of such biases and demonstrate its aptness on the existing stance detection systems. Our empirical findings show much scope for research on the stance detection task and proposes several considerations for creating future stance detection datasets.},
author = {Kaushal, Ayush and Saha, Avirup and Ganguly, Niloy},
keywords = {leibnizailab},
month = {06},
pages = {3879-3889},
title = {tWT–WT: A Dataset to Assert the Role of Target Entities for Detecting Stance of Tweets},
year = 2021
}
%0 Conference Proceedings
%1 J
%A Kaushal, Ayush
%A Saha, Avirup
%A Ganguly, Niloy
%D 2021
%P 3879-3889
%T tWT–WT: A Dataset to Assert the Role of Target Entities for Detecting Stance of Tweets
%X The stance detection task aims at detecting the stance of a tweet or a text for a target. These targets can be named entities or free-form sentences (claims). Though the task involves reasoning of the tweet with respect to a target, we find that it is possible to achieve high accuracy on several publicly available Twitter stance detection datasets without looking at the target sentence. Specifically, a simple tweet classification model achieved human-level performance on the WT–WT dataset and more than two-third accuracy on various other datasets. We investigate the existence of biases in such datasets to find the potential spurious correlations of sentiment-stance relations and lexical choice associated with the stance category. Furthermore, we propose a new large dataset free of such biases and demonstrate its aptness on the existing stance detection systems. Our empirical findings show much scope for research on the stance detection task and proposes several considerations for creating future stance detection datasets.
Dockhorn, A., Grueso, J. H., Jeurissen, D., and Perez-Liebana, D. (2020)“Stratega”: A General Strategy Games Framework. In Joint Proceedings of the AIIDE 2020 Workshops co-located with 16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2020); Artificial Intelligence for Strategy Games, pp. 1–7.

URLBibTeXEndNoteBibSonomy

@inproceedings{DocGru2020,
author = {Dockhorn, Alexander and Grueso, Jorge Hurtado and Jeurissen, Dominik and Perez-Liebana, Diego},
booktitle = {Joint Proceedings of the AIIDE 2020 Workshops co-located with 16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2020); Artificial Intelligence for Strategy Games},
keywords = {“Stratega”},
pages = {1--7},
title = {“Stratega”: A General Strategy Games Framework},
year = 2020
}
%0 Conference Paper
%1 DocGru2020
%A Dockhorn, Alexander
%A Grueso, Jorge Hurtado
%A Jeurissen, Dominik
%A Perez-Liebana, Diego
%B Joint Proceedings of the AIIDE 2020 Workshops co-located with 16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2020); Artificial Intelligence for Strategy Games
%D 2020
%P 1--7
%T “Stratega”: A General Strategy Games Framework
%U http://ceur-ws.org/Vol-2862/
Ostermann, J., and Hinrichs, R. (2020)Links und rechts verbinden, Unimagazin.

URLBibTeXEndNoteBibSonomy

@article{OstHin2020a,
author = {Ostermann, J{ö}rn and Hinrichs, Reemt},
journal = {Unimagazin},
keywords = {und},
month = {06},
number = 1,
title = {Links und rechts verbinden},
year = 2020
}
%0 Journal Article
%1 OstHin2020a
%A Ostermann, J{ö}rn
%A Hinrichs, Reemt
%D 2020
%J Unimagazin
%N 1
%T Links und rechts verbinden
%U https://anyflip.com/cjox/dool/
Dockhorn, A., and Kruse, R. (2020)Forward Model Learning for Motion Control Tasks. In 2020 IEEE 10th International Conference on Intelligent Systems (IS), pp. 1–5.

URLBibTeXEndNoteBibSonomy

@inproceedings{DocKru2020b,
author = {Dockhorn, Alexander and Kruse, Rudolf},
booktitle = {2020 IEEE 10th International Conference on Intelligent Systems (IS)},
keywords = {Model},
month = {09},
pages = {1--5},
title = {Forward Model Learning for Motion Control Tasks},
year = 2020
}
%0 Conference Paper
%1 DocKru2020b
%A Dockhorn, Alexander
%A Kruse, Rudolf
%B 2020 IEEE 10th International Conference on Intelligent Systems (IS)
%D 2020
%P 1--5
%R 10.1109/IS48319.2020.9199978
%T Forward Model Learning for Motion Control Tasks
%U https://ieeexplore.ieee.org/document/9199978
%@ 9781728154565
Minh, C. N. D., Gilani, S. Z., Islam, S., and Suter, D. (2020)Learning Affordance Segmentation: An Investigative Study. In DICTA2020.

BibTeXEndNoteBibSonomy

@inproceedings{chauDICTA2020,
author = {Minh, Chau Nguyen Duc and Gilani, Syed Zulqarnain and Islam, Syed and Suter, David},
booktitle = {DICTA2020},
keywords = {leibnizailab},
title = {Learning Affordance Segmentation: An Investigative Study},
year = 2020
}
%0 Conference Paper
%1 chauDICTA2020
%A Minh, Chau Nguyen Duc
%A Gilani, Syed Zulqarnain
%A Islam, Syed
%A Suter, David
%B DICTA2020
%D 2020
%R 10.1109/DICTA51227.2020.9363390
%T Learning Affordance Segmentation: An Investigative Study
Tan, D., Maybery, M., Gilani, S. Z., Alvares, G., Mian, A., Suter, D., and Whitehouse, A. (2020)A broad autism phenotype expressed in facial morphology, Translational Psychiatry 10.

BibTeXEndNoteBibSonomy

@article{TanPsych2019,
author = {Tan, Diana and Maybery, Murray and Gilani, Syed Zulqarnain and Alvares, Gail and Mian, Ajmal and Suter, David and Whitehouse, Andrew},
journal = {Translational Psychiatry},
keywords = {leibnizailab},
number = 1,
title = {A broad autism phenotype expressed in facial morphology},
volume = 10,
year = 2020
}
%0 Journal Article
%1 TanPsych2019
%A Tan, Diana
%A Maybery, Murray
%A Gilani, Syed Zulqarnain
%A Alvares, Gail
%A Mian, Ajmal
%A Suter, David
%A Whitehouse, Andrew
%D 2020
%J Translational Psychiatry
%N 1
%R 10.1038/s41398-020-0695-z
%T A broad autism phenotype expressed in facial morphology
%V 10
Hu, T., Iosifidis, V., Wentong, L., Hang, Z., Yang, M. Y., Ntoutsi, E., and Rosenhahn, B. (2020)FairNN - Conjoint Learning of Fair Representations for Fair Decisions. In 23rd International Conference on Discovery Science.

BibTeXEndNoteBibSonomy

@inproceedings{HuIos2020,
author = {Hu, Tongxin and Iosifidis, Vasileios and Wentong, Liao and Hang, Zhang and Yang, Michael Ying and Ntoutsi, Eirini and Rosenhahn, Bodo},
booktitle = {23rd International Conference on Discovery Science},
keywords = {for},
month = 10,
note = {Code available: https://github.com/wtliao/FairNN},
title = {FairNN - Conjoint Learning of Fair Representations for Fair Decisions},
year = 2020
}
%0 Conference Paper
%1 HuIos2020
%A Hu, Tongxin
%A Iosifidis, Vasileios
%A Wentong, Liao
%A Hang, Zhang
%A Yang, Michael Ying
%A Ntoutsi, Eirini
%A Rosenhahn, Bodo
%B 23rd International Conference on Discovery Science
%D 2020
%T FairNN - Conjoint Learning of Fair Representations for Fair Decisions
Samayoa, Y., and Ostermann, J. (2020)Parameter Selection for a Video Communication System based on HEVC and Channel Coding. In IEEE Latin-American Conference on Communications (LATINCOM 2020), p. 5.

BibTeXEndNoteBibSonomy

@inproceedings{SamOst2020,
author = {Samayoa, Yasser and Ostermann, J{ö}rn},
booktitle = {IEEE Latin-American Conference on Communications (LATINCOM 2020)},
keywords = {System},
month = 11,
pages = 5,
title = {Parameter Selection for a Video Communication System based on HEVC and Channel Coding},
year = 2020
}
%0 Conference Paper
%1 SamOst2020
%A Samayoa, Yasser
%A Ostermann, J{ö}rn
%B IEEE Latin-American Conference on Communications (LATINCOM 2020)
%D 2020
%P 5
%T Parameter Selection for a Video Communication System based on HEVC and Channel Coding
Awiszus, M., Schubert, F., and Rosenhahn, B. (2020)TOAD-GAN: Coherent Style Level Generation from a Single Example. In AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment Best Student Paper Award.

URLBibTeXEndNoteBibSonomy

@inproceedings{AwiSch2020,
author = {Awiszus, Maren and Schubert, Frederik and Rosenhahn, Bodo},
booktitle = {AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment Best Student Paper Award},
keywords = {TOAD-GAN},
month = 10,
note = {7 pages, 7 figures.},
title = {TOAD-GAN: Coherent Style Level Generation from a Single Example},
year = 2020
}
%0 Conference Paper
%1 AwiSch2020
%A Awiszus, Maren
%A Schubert, Frederik
%A Rosenhahn, Bodo
%B AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment Best Student Paper Award
%D 2020
%T TOAD-GAN: Coherent Style Level Generation from a Single Example
%U /brokenurl#AAAI, github, arxiv, Award
J{ü}rgens, H., Hinrichs, R., and Ostermann, J. (2020)Recognizing Guitar Effects and Their Parameter Settings. In Proceedings of the DAFx2020 (Vol I).

BibTeXEndNoteBibSonomy

@inproceedings{JueHin2020,
author = {J{ü}rgens, Henrik and Hinrichs, Reemt and Ostermann, J{ö}rn},
booktitle = {Proceedings of the DAFx2020 (Vol I)},
keywords = {Settings},
title = {Recognizing Guitar Effects and Their Parameter Settings},
year = 2020
}
%0 Conference Paper
%1 JueHin2020
%A J{ü}rgens, Henrik
%A Hinrichs, Reemt
%A Ostermann, J{ö}rn
%B Proceedings of the DAFx2020 (Vol I)
%D 2020
%T Recognizing Guitar Effects and Their Parameter Settings
Gra{{\"s}}hof, S., Ackermann, H., Brandt, S., and Ostermann, J. (2020)Multilinear Modelling of Faces and Expressions, Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

URLBibTeXEndNoteBibSonomy

@article{GraAck2020,
author = {Gra{{\"s}}hof, Stella and Ackermann, Hanno and Brandt, Sami and Ostermann, J{ö}rn},
journal = {Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
keywords = {Faces},
month = {04},
note = {early access},
title = {Multilinear Modelling of Faces and Expressions},
year = 2020
}
%0 Journal Article
%1 GraAck2020
%A Gra{{\"s}}hof, Stella
%A Ackermann, Hanno
%A Brandt, Sami
%A Ostermann, J{ö}rn
%D 2020
%J Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
%T Multilinear Modelling of Faces and Expressions
%U https://ieeexplore.ieee.org/document/9067086
Dockhorn, A., Schwensfeier, T., and Kruse, R. (2019)Fuzzy Multiset Clustering for Metagame Analysis. In Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), pp. 536–543.

URLBibTeXEndNoteBibSonomy

@inproceedings{DocSch2019a,
author = {Dockhorn, Alexander and Schwensfeier, Tony and Kruse, Rudolf},
booktitle = {Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)},
keywords = {Multiset},
month = {08},
pages = {536-543},
title = {Fuzzy Multiset Clustering for Metagame Analysis},
year = 2019
}
%0 Conference Paper
%1 DocSch2019a
%A Dockhorn, Alexander
%A Schwensfeier, Tony
%A Kruse, Rudolf
%B Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
%D 2019
%P 536-543
%R 10.2991/eusflat-19.2019.74
%T Fuzzy Multiset Clustering for Metagame Analysis
%U https://www.atlantis-press.com/proceedings/eusflat-19/125914844
%@ 978-94-6252-770-6