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- University of LuxembourgLU79 papers
- Centre National de la Recherche ScientifiqueFR20 papers
- Institut de Ciència de Materials de BarcelonaES9 papers
- Université Paris-SaclayFR8 papers
- University of Arkansas at FayettevilleUS7 papers
- Linköping UniversitySE6 papers
- University of CambridgeGB6 papers
- European Synchrotron Radiation FacilityFR5 papers
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133 papers
Low-code and no-code with BESSER to create and deploy smart web applications
Iván Alfonso, Armen Sulejmani, Aaron Conrardy +1
The increasing demand for web applications containing AI-agents, seen as smart web applications, has prompted the need for new techniques to facilitate their creation. Low-code has…
A Low-Code Approach for the Automatic Personalization of Conversational Agents
Aaron Conrardy, Alfredo Capozucca, Jordi Cabot
The rise of Large Language Models (LLMs) has increased the demand for Conversational Agents (CAs) capable of understanding human conversations as part of web applications. While tr…
An Empirical Study of the Imbalance Issue in Software Vulnerability Detection
Yuejun Guo, Qiang Hu, Qiang Tang +1
Vulnerability detection is crucial to protect software security. Nowadays, deep learning (DL) is the most promising technique to automate this detection task, leveraging its superi…
Artificial Intelligence in Materials Science and Engineering: Current Landscape, Key Challenges, and Future Trajectorie
Iman Peivaste, Salim Belouettar, Francesco Mercuri +15
Artificial Intelligence is rapidly transforming materials science and engineering, offering powerful tools to navigate complexity, accelerate discovery, and optimize material desig…
Control of the MoTe Fermi Surface by Nb Doping
Andrew P. Weber, Iñigo Robredo, Philipp Rüssmann +8
Ab initio calculations and angle-resolved photoemission experiments show that the bulk and surface electronic structure of Weyl semimetal candidate MoTe changes significantly b…
Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data
Jessica Plassmann, Nicolas Schuler, Georg von Freymann +1
Shearography is a non-destructive testing method for detecting subsurface defects, offering high sensitivity and full-field inspection capabilities. However, its industrial adoptio…