Auflistung Forschungszentren nach Autor/in "e7a1d5ed-7640-4dac-a779-60e24ac90db5"

Auflistung Forschungszentren nach Autor/in "e7a1d5ed-7640-4dac-a779-60e24ac90db5"

Sortiert nach: Sortierung: Ergebnisse:

  • Stecher, Rodolfo; Niederée, Claudia; Nejdl, Wolfgang; Bouquet, Paolo (Bingley : Emerald Group Publishing Ltd., 2008)
    Purpose - The discovery of the "right" ontology or ontology part is a central ingredient for effective ontology re-use. The purpose of this paper is to present an approach for supporting a form of adaptive re-use of ...
  • Ntoutsi, Erini; Fafalios, Pavlos; Gadiraju, Ujwal; Iosifidis, Vasileios; Nejdl, Wolfgang; Vidal, Maria-Esther; Ruggieri, Salvatore; Turini, Franco; Papadopoulos, Symeon; Krasanakis, Emmanouil; Kompatsiaris, Ioannis; Kinder-Kurlanda, Katharina; Wagner, Claudia; Karimi, Fariba; Fernandez, Miriam; Alani, Harith; Berendt, Bettina; Kruegel, Tina; Heinze, Christian; Broelemann, Klaus; Kasneci, Gjergji; Tiropanis, Thanassis; Staab, Steffen (Hoboken, NJ : Wiley-Blackwell, 2020)
    Artificial Intelligence (AI)-based systems are widely employed nowadays to make decisions that have far-reaching impact on individuals and society. Their decisions might affect everyone, everywhere, and anytime, entailing ...
  • Melidis, Damianos P.; Nejdl, Wolfgang (Basel : MDPI AG, 2021)
    Predicting biological properties of unseen proteins is shown to be improved by the use of protein sequence embeddings. However, these sequence embeddings have the caveat that biological metadata do not exist for each amino ...
  • Ilkou, Eleni; Abu-Rasheed, Hasan; Tavakoli, Mohammadreza; Hakimov, Sherzod; Kismihók, Gábor; Auer, Sören; Nejdl, Wolfgang (Berlin ; Heidelberg : Springer, 2021)
    With the increased dependence on online learning platforms and educational resource repositories, a unified representation of digital learning resources becomes essential to support a dynamic and multi-source learning ...
  • Badar, Maryam; Nejdl, Wolfgang; Fisichella, Marco (Dordrecht [u.a.] : Springer Science + Business Media B.V, 2023)
    Federated learning is an emerging collaborative learning paradigm of Machine learning involving distributed and heterogeneous clients. Enormous collections of continuously arriving heterogeneous data residing on distributed ...
  • Melidis, Damianos P.; Landgraf, Christian; Schmidt, Gunnar; Schöner-Heinisch, Anja; Hardenberg, Sandra von; Lesinski-Schiedat, Anke; Nejdl, Wolfgang; Auber, Bernd (San Francisco, Calif. : Public Library of Science, 2022)
    Since next-generation sequencing (NGS) has become widely available, large gene panels containing up to several hundred genes can be sequenced cost-efficiently. However, the interpretation of the often large numbers of ...
  • Ren, Zhao; Chang, Yi; Nejdl, Wolfgang; Schuller, Björn W. (Les Ulis : EDP Sciences, 2022)
    Coughs sounds have shown promising as-potential marker for distinguishing COVID individuals from non-COVID ones. In this paper, we propose an attention-based ensemble learning approach to learn complementary representations ...
  • Wete, Eric; Greenyer, Joel; Kudenko, Daniel; Nejdl, Wolfgang; Flegel, Oliver; Eisner, Dennes (New York : Association for Computing Machinery, 2022)
    In the automotive industry, the design, modeling, and planning of multi-robot cells are manual error-prone, and time-expensive tasks. A recent work investigated, using reactive synthesis, approaches to automate robot task ...

Suche im Repositorium


Durchblättern

Mein Nutzer/innenkonto

Nutzungsstatistiken