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Lydia Fischer
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2020 – today
- 2024
- [i4]Stephan Hasler, Lydia Fischer:
Stacked Confusion Reject Plots (SCORE). CoRR abs/2406.17346 (2024) - 2023
- [i3]Lydia Fischer, Patricia Wollstadt:
Precision and Recall Reject Curves for Classification. CoRR abs/2308.08381 (2023) - 2021
- [c14]Chao Wang
, Stephan Hasler, Manuel Mühlig, Frank Joublin, Antonello Ceravola, Joerg Deigmoeller, Lydia Fischer, Pengcheng An
Designing Interaction for Multi-agent Cooperative System in an Office Environment. HRI (Companion) 2021: 668-669 - [c13]Viktor Losing, Lydia Fischer, Jörg Deigmöller:
Extraction of Common-Sense Relations from Procedural Task Instructions using BERT. GWC 2021: 81-90 - 2020
- [c12]Chao Wang
Designing Interaction for Multi-agent System in an Office Environment. CCHI 2020: 86-88 - [c11]Manuel Mühlig, Lydia Fischer, Stephan Hasler, Jörg Deigmöller:
A Knowledge-based Multi-entity and Cooperative System Architecture. ICHMS 2020: 1-6 - [i2]Chao Wang, Stephan Hasler, Manuel Mühlig, Frank Joublin, Antonello Ceravola, Joerg Deigmoeller, Lydia Fischer:
Designing Interaction for Multi-agent Cooperative System in an Office Environment. CoRR abs/2002.06417 (2020)
2010 – 2019
- 2019
- [c10]Julian Eggert, Jörg Deigmöller, Lydia Fischer, Andreas Richter:
Memory Nets: Knowledge Representation for Intelligent Agent Operations in Real World. KEOD 2019: 115-126 - [c9]Julian Eggert, Jörg Deigmöller, Lydia Fischer, Andreas Richter:
Action Representation for Intelligent Agents Using Memory Nets. IC3K 2019: 260-282 - 2018
- [c8]Lydia Fischer, Stephan Hasler, Joerg Deigmoeller, Thomas Schnuerer, Michael Redert, Ulrike Pluntke, Katrin Nagel, Chris Senzel, Joern Ploennigs, Andreas Richter, Julian Eggert:
Which tool to use? Grounded reasoning in everyday environments with assistant robots. CogRob@KR 2018: 3-10 - 2017
- [c7]Jennifer Kreger, Lydia Fischer, Stephan Hasler, Thomas H. Weisswange
A Priori Reliability Prediction with Meta-Learning Based on Context Information. ICANN (2) 2017: 200-207 - 2016
- [b1]Lydia Fischer:
Rejection and online learning with prototype-based classifiers in adaptive metrical spaces. Bielefeld University, Germany, 2016 - [j3]Lydia Fischer, Barbara Hammer
Optimal local rejection for classifiers. Neurocomputing 214: 445-457 (2016) - [c6]Lydia Fischer, Barbara Hammer
Online metric learning for an adaptation to confidence drift. IJCNN 2016: 748-755 - 2015
- [j2]Lydia Fischer, Barbara Hammer
Efficient rejection strategies for prototype-based classification. Neurocomputing 169: 334-342 (2015) - [c5]Lydia Fischer, Barbara Hammer, Heiko Wersing:
Certainty-based prototype insertion/deletion for classification with metric adaptation. ESANN 2015 - [c4]Lydia Fischer, Barbara Hammer
Combining offline and online classifiers for life-long learning. IJCNN 2015: 1-8 - [i1]Lydia Fischer, Barbara Hammer
Optimum Reject Options for Prototype-based Classification. CoRR abs/1503.06549 (2015) - 2014
- [c3]Lydia Fischer, Barbara Hammer, Heiko Wersing:
Rejection strategies for learning vector quantization. ESANN 2014 - [c2]Lydia Fischer, Barbara Hammer
Local Rejection Strategies for Learning Vector Quantization. ICANN 2014: 563-570 - [c1]Lydia Fischer, David Nebel, Thomas Villmann, Barbara Hammer
Rejection Strategies for Learning Vector Quantization - A Comparison of Probabilistic and Deterministic Approaches. WSOM 2014: 109-118 - 2013
- [j1]Tina Geweniger, Lydia Fischer, Marika Kaden, Mandy Lange, Thomas Villmann:
Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters. Comput. Intell. Neurosci. 2013: 165248:1-165248:10 (2013)
Coauthor Index
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