Auflistung Zentrale Einrichtungen nach Autor/in "4fb1fe31-b171-43ab-aad0-b2d3ad52d5a6"

Auflistung Zentrale Einrichtungen nach Autor/in "4fb1fe31-b171-43ab-aad0-b2d3ad52d5a6"

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  • Analysing the requirements for an Open Research Knowledge Graph: use cases, quality requirements, and construction strategies 
    Brack, Arthur; Hoppe, Anett; Stocker, Markus; Auer, Sören; Ewerth, Ralph (Berlin, Heidelberg, New York : Springer, 2021)
    Current science communication has a number of drawbacks and bottlenecks which have been subject of discussion lately: Among others, the rising number of published articles makes it nearly impossible to get a full overview ...
  • “Are Machines Better Than Humans in Image Tagging?” - A User Study Adds to the Puzzle 
    Ewerth, Ralph; Springstein, Matthias; Phan-Vogtmann, Lo An; Schütze, Juliane (Cham : Springer, 2017)
    “Do machines perform better than humans in visual recognition tasks?” Not so long ago, this question would have been considered even somewhat provoking and the answer would have been clear: “No”. In this paper, we present ...
  • 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 ...
  • 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 ...
  • Comparing different search methods for the open access journal recommendation tool B!SON 
    Entrup, Elias; Eppelin, Anita; Ewerth, Ralph; Tullney, Marco; Hoppe, Anett; Hartwig, Josephine; Wohlgemuth, Michael (Berlin ; Heidelberg ; New York : Springer, 2023-07-20)
    Finding a suitable open access journal to publish academic work is a complex task: Researchers have to navigate a constantly growing number of journals, institutional agreements with publishers, funders’ conditions and the ...
  • 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 ...
  • 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 ...
  • Exploring Data Mining in Chemistry Education: Building a Web-Based Learning Platform for Learning Analytics 
    Roski, Marvin; Ewerth, Ralph; Hoppe, Anett; Nehring, Andreas (Washington, DC : ACS Publications, 2024)
    The integration of learning analytics and artificial intelligence methods into education is part of the latest developments and significantly affects chemistry education (research): researchers might face the challenge of ...
  • 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: ...
  • 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 ...
  • 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' ...
  • 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 ...
  • 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. ...
  • On the Role of Images for Analyzing Claims in Social Media 
    Cheema, Gullal S.; Hakimov, Sherzod; Müller-Budack, Eric; Ewerth, Ralph (Aachen, Germany : RWTH Aachen, 2021)
    Fake news is a severe problem in social media. In this paper, we present an empirical study on visual, textual, and multimodal models for the tasks of claim, claim check-worthiness, and conspiracy detection, all of which ...
  • 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. ...
  • The Search as Learning Spaceship: Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learning 
    von Hoyer, Johannes; Hoppe, Anett; Kammerer, Yvonne; Otto, Christian; Pardi, Georg; Rokicki, Markus; Yu, Ran; Dietze, Stefan; Ewerth, Ralph; Holtz, Peter (Lausanne : Frontiers Research Foundation, 2022)
    Using a Web search engine is one of today’s most frequent activities. Exploratory search activities which are carried out in order to gain knowledge are conceptualized and denoted as Search as Learning (SAL). In this paper, ...
  • 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 ...
  • Sequential sentence classification in research papers using cross-domain multi-task learning 
    Brack, Arthur; Entrup, Elias; Stamatakis, Markos; Buschermöhle, Pascal; Hoppe, Anett; Ewerth, Ralph (Berlin ; Heidelberg ; New York : Springer, 2024)
    The automatic semantic structuring of scientific text allows for more efficient reading of research articles and is an important indexing step for academic search engines. Sequential sentence classification is an essential ...
  • 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. ...

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