• Learning analytics and the Universal Design for Learning (UDL): A clustering approach 

  Roski, Marvin; Sebastian, Ratan; Ewerth, Ralph; Hoppe, Anett; Nehring, Andreas (Amsterdam [u.a.] : Elsevier Science, 2024)

  In the context of inclusive education, Universal Design for Learning (UDL) is a framework used worldwide to create learning opportunities accessible to all learners. While much research focused on the design and students' ...
• Meetings and Mood-Related or Not? Insights from Student Software Projects 

  Klünder, Jil; Karras, Oliver (New York, NY : Association for Computing Machinery, 2022)

  [Background:] Teamwork, coordination, and communication are a prerequisite for the timely completion of a software project. Meetings as a facilitator for coordination and communication are an established medium for information ...
• Causal Relationship over Knowledge Graphs 

  Huang, Hao (New York, NY : Association for Computing Machinery, 2022)

  Causality has been discussed for centuries, and the theory of causal inference over tabular data has been broadly studied and utilized in multiple disciplines. However, only a few works attempt to infer the causality while ...
• TIB AV-Analytics: A Web-based Platform for Scholarly Video Analysis and Film Studies 

  Springstein, Matthias; Stamatakis, Markos; Plank, Margret; Sittel, Julian; Mauer, Roman; Bulgakowa, Oksana; Ewerth, Ralph; Müller-Budack, Eric (New York, NY : Association for Computing Machinery, 2023)

  Video analysis platforms that integrate automatic solutions for multimedia and information retrieval enable various applications in many disciplines including film and media studies, communication science, and education. ...
• Comparing Interface Layouts for the Presentation of Multimodal Search Results 

  Gritz, Wolfgang; Otto, Christian; Hoppe, Anett; Pardi, Georg; Kammerer, Yvonne; Ewerth, Ralph (New York, NY : Association for Computing Machinery, 2023)

  Today's search engines allow users to discover relevant information in different types of modalities or media, e.g., web pages, text documents, images, or videos. It is, however, a challenging task to present mixed-modality ...
• Cross-domain multi-Task learning for sequential sentence classification in research papers 

  Brack, Arthur; Hoppe, Anett; Buschermöhle, Pascal; Ewerth, Ralph (New York, NY : Association for Computing Machinery, 2022)

  Sequential sentence classification deals with the categorisation of sentences based on their content and context. Applied to scientific texts, it enables the automatic structuring of research papers and the improvement of ...
• Semi-supervised Human Pose Estimation in Art-historical Images 

  Springstein, Matthias; Schneider, Stefanie; Althaus, Christian; Ewerth, Ralph (New York, NY : Association for Computing Machinery, 2022)

  Gesture as language of non-verbal communication has been theoretically established since the 17th century. However, its relevance for the visual arts has been expressed only sporadically. This may be primarily due to the ...
• Improving Generalization for Multimodal Fake News Detection 

  Tahmasebi, Sahar; Hakimov, Sherzod; Ewerth, Ralph; Müller-Budack, Eric (New York, NY : Association for Computing Machinery, 2023)

  The increasing proliferation of misinformation and its alarming impact have motivated both industry and academia to develop approaches for fake news detection. However, state-of-the-art approaches are usually trained on ...
• B!SON: A Tool for Open Access Journal Recommendation 

  Entrup, Elias; Eppelin, Anita; Ewerth, Ralph; Hartwig, Josephine; Tullney, Marco; Wohlgemuth, Michael; Hoppe, Anett (Cham, Switzerland : Springer, 2022)

  Finding a suitable open access journal to publish scientific work is a complex task: Researchers have to navigate a constantly growing number of journals, institutional agreements with publishers, funders’ conditions and ...
• SoccerNet 2022 Challenges Results 

  Giancola, Silvio; Cioppa, Anthony; Deliège, Adrien; Magera, Floriane; Somers, Vladimir; Kang, Le; Zhou, Xin; Barnich, Olivier; De Vleeschouwer, Christophe; Alahi, Alexandre; Ghanem, Bernard; Van Droogenbroeck, Marc; Darwish, Abdulrahman; Maglo, Adrien; Clapés, Albert; Luyts, Andreas; Boiarov, Andrei; Xarles, Artur; Orcesi, Astrid; Shah, Avijit; Fan, Baoyu; Comandur, Bharath; Chen, Chen; Zhang, Chen; Zhao, Chen; Lin, Chengzhi; Chan, Cheuk-Yiu; Hui, Chun Chuen; Li, Dengjie; Yang, Fan; Liang, Fan; Da, Fang; Yan, Feng; Yu, Fufu; Wang, Guanshuo; Chan, H. Anthony; Zhu, He; Kan, Hongwei; Chu, Jiaming; Hu, Jianming; Gu, Jianyang; Chen, Jin; Soares, João V. B.; Theiner, Jonas; De Corte, Jorge; Brito, José Henrique; Zhang, Jun; Li, Junjie; Liang, Junwei; Shen, Leqi; Ma, Lin; Chen, Lingchi; Santos Marques, Miguel; Azatov, Mike; Kasatkin, Nikita; Wang, Ning; Jia, Qiong; Pham, Quoc Cuong; Ewerth, Ralph; Song, Ran; Li, Rengang; Gade, Rikke; Debien, Ruben; Zhang, Runze; Lee, Sangrok; Escalera, Sergio; Jiang, Shan; Odashima, Shigeyuki; Chen, Shimin; Masui, Shoichi; Ding, Shouhong; Chan, Sin-wai; Chen, Siyu; El-Shabrawy, Tallal; He, Tao; Moeslund, Thomas B.; Siu, Wan-Chi; Zhang, Wei; Li, Wei; Wang, Xiangwei; Tan, Xiao; Li, Xiaochuan; Wei, Xiaolin; Ye, Xiaoqing; Liu, Xing; Wang, Xinying; Guo, Yandong; Zhao, Yaqian; Yu, Yi; Li, Yingying; He, Yue; Zhong, Yujie; Guo, Zhenhua; Li, Zhiheng (New York, NY : Association for Computing Machinery, 2022)

  The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks: (1) action spotting, focusing on retrieving ...
• Development of a domain-specific ontology to support research data management for the tailored forming technology 

  Sheveleva, Tatyana; Koepler, Oliver; Mozgova, Iryna; Lachmayer, Roland; Auer, Sören (Amsterdam [u.a.] : Elsevier, 2020)

  The global trend towards the comprehensive digitisation of technologies in product manufacturing is leading to radical changes in engineering processes and requires a new extended understanding of data handling. The amounts ...
• Towards Certified Distributed Query Processing 

  Rohde, Philipp D.; Vidal, Maria-Esther (Aachen, Germany : RWTH Aachen, 2023)

  In recent years, knowledge graphs (KGs) have gained more and more importance. As a consequence of that, the number of publicly accessible KGs is increasing. Due to their adoption in many areas, KGs are used in numerous ...
• SHACL constraint validation during SPARQL query processing 

  Rohde, Philipp D.; Vidal, Maria-Esther (Aachen, Germany : RWTH Aachen, 2021)

  The importance of knowledge graphs is increasing. Due to their application in more and more real-world use-cases the data quality issue has to be addressed. The Shapes Constraint Language (SHACL) is the W3C recommendation ...
• A Review on Recent Advances in Video-based Learning Research: Video Features, Interaction, Tools, and Technologies 

  Navarrete, Evelyn; Hoppe, Anett; Ewerth, Ralph (Aachen, Germany : RWTH Aachen, 2021)

  Human learning shifts stronger than ever towards online settings, and especially towards video platforms. There is an abundance of tutorials and lectures covering diverse topics, from fixing a bike to particle physics. ...
• On the Impact of Features and Classifiers for Measuring Knowledge Gain during Web Search - A Case Study 

  Gritz, Wolfgang; Hoppe, Anett; Ewerth, Ralph (Aachen, Germany : RWTH Aachen, 2021)

  Search engines are normally not designed to support human learning intents and processes. The field of Search as Learning (SAL) aims to investigate the characteristics of a successful Web search with a learning purpose. ...
• Domain-Specific Modeling of User Knowledge in Informational Search Sessions 

  Tang, Rui; Yu, Ran; Rokicki, Markus; Ewerth, Ralph; Dietze, Stefan (Aachen, Germany : RWTH Aachen, 2021)

  Users frequently search on the Web to fulfill information needs with learning intent. In this context, usefulness of the search results depends strongly on the knowledge state of the user. In order to satisfy learning needs ...
• A Multimodal Approach for Semantic Patent Image Retrieval 

  Pustu-Iren, Kader; Bruns, Gerrit; Ewerth, Ralph (Aachen, Germany : RWTH Aachen, 2021)

  Patent images such as technical drawings contain valuable information and are frequently used by experts to compare patents. However, current approaches to patent information retrieval are largely focused on textual ...
• Grade Level Filtering for Learning Object Search using Entity Linking 

  Sebastian, Ratan J.; Ewerth, Ralph; Hoppe, Anett (Aachen, Germany : RWTH Aachen, 2023)

  More and more Learning Objects like lessons, exercises, worksheets and lesson plans are available online. Finding them, however, is a challenge as they often lack metadata concerning format, content and, in the K-12 context: ...
• Combining Textual Features for the Detection of Hateful and Offensive Language 

  Hakimov, Sherzod; Ewerth, Ralph (Aachen, Germany : RWTH Aachen, 2021)

  The detection of offensive, hateful and profane language has become a critical challenge since many users in social networks are exposed to cyberbullying activities on a daily basis. In this paper, we present an analysis ...
• Preface DEco 

  Cappiello, Cinzia; Geisler, Sandra; Vidal, Maria-Esther (Aachen, Germany : RWTH Aachen, 2023)

  [no abstract available]

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