@inproceedingsGräßler_Hieb_2023, title=Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing, DOI=10.5162/smsi2023/d7.4, booktitle=Lectures, publisher=AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, author=Gräßler, Iris and Hieb, Michael, year=2023, pages=253–524 
LibreCat: /record/52816
DOI: 10.5162/smsi2023/d7.4

@articlePrester_Wagner_Schryen_Hassan_2021, title=Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach, volume=140, number=Januar3432, journal=Decision Support Systems, author=Prester, Julian and Wagner, Gerit and Schryen, Guido and Hassan, Nik Rushdi, year=2021 
LibreCat: /record/20212

@inproceedingsMüller_Caron_Döring_Heuwinkel_Baumeister, title=PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data, booktitle=8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021), author=Müller, Oliver and Caron, Matthew and Döring, Michael and Heuwinkel, Tim and Baumeister, Jochen 
LibreCat: /record/24547

@inproceedingsSchneider_Manzoor_Qarawlus_Schellenberg_Karl_Khalili_Hecker_2020, title=Self-Driving Network and Service Coordination Using Deep Reinforcement Learning, booktitle=IEEE International Conference on Network and Service Management (CNSM), publisher=IEEE, author=Schneider, Stefan Balthasar and Manzoor, Adnan and Qarawlus, Haydar and Schellenberg, Rafael and Karl, Holger and Khalili, Ramin and Hecker, Artur, year=2020 
LibreCat: /record/19609

@inproceedingsKersting_Geierhos_2020, place=Setúbal, Portugal, title=Aspect Phrase Extraction in Sentiment Analysis with Deep Learning, booktitle=Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), publisher=SCITEPRESS, author=Kersting, Joschka and Geierhos, Michaela, year=2020, pages=391--400 
LibreCat: /record/15580

@inproceedingsSeiler_Pohl_Bossek_Kerschke_Trautmann_2020, place=Berlin, Heidelberg, title=Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem, DOI=10.1007/978-3-030-58112-1_4, booktitle=Parallel Problem Solving from Nature (PPSN XVI), publisher=Springer-Verlag, author=Seiler, Moritz and Pohl, Janina and Bossek, Jakob and Kerschke, Pascal and Trautmann, Heike, year=2020, pages=48–64 
LibreCat: /record/48897
DOI: 10.1007/978-3-030-58112-1_4