Proceedings

Available until November 21, 2024.

Additional Papers

  • Digital Humanities and Cultural Heritage in AI and IT-enabled Environments
    Ciara Breathnach, Tiziana Margaria
  • Common Language for Accessibility, Interoperability, and Reusability in Historical Demography
    Rick Mourits, Tim Riswick, Rombert Stapel
  • Coding historical causes of death data with Large Language Models
    Bjørn-Richard Pedersen, Maisha Islam, Doris Tove Kristoffersen, Lars Ailo Bongo, Eilidth Garrett, Alice Reid, Hilde Sommerseth
  • Teaching the specialized language of Mathematics with a data-driven approach: what data do we use?
    Cecilia Fissore, Francesco Floris, Marina Marchisio Conte, Matteo Sacchet
  • Interoperating Civil Registration of Death and Census Data: Old Age and Marriage as Categories of Analysis
    Ciara Breathnach, Rachel Murphy, Alexander Schieweck, Tiziana Margaria
  • From Data Science to Modular Workflows – Changing Perspectives from Data to Platform: DBDIrl 1864-1922 Case Study
    Enda O Shea, Marco Krumrey, Daniel Sami Mitwalli, Sebastian Teumert, Tiziana Margaria
  • Mapping Madness: HGIS and the granular analysis of Irish patient records
    Oonagh Walsh, Stuart Clancy
  • Digitised historical sources and non-digital humanists: an interdisciplinary challenge?
    Maelle Le Roux, Anna Gasperini
  • Using Passive Sensing to Identify Depression
    Evi Zafeiridi, Malik Qirtas, Eleanor Bantry-White, Dirk Pesch
  • The GraphBRAIN Framework for Knowledge Graph Management and its Applications to Cultural Heritage
    Ferilli, Davide Di Pierro, Domenico Redavid, Eleonora Bernasconi
  • Challenges for AI in Healthcare Systems
    Markus Bertl, Yngve Lamo, Martin Leucker, Tiziana Margaria, Esfandiar Mohammadi, Suresh Kumar M, Ludwig Pechmann, Gunnar Piho, FAZLE RABBI
  • Towards a Multi-dimensional Health Data Analysis Framework
    FAZLE RABBI, Bahareh Fatemi, Suresh Kumar Mukhiya, Yngve Lamo
  • Future Opportunities for Systematic AI Support in Healthcare
    Markus Bertl, Gunnar Piho, Dirk Draheim, Peeter Ross, Ludwig Pechmann, Nicholas Bucciarelli, Rahul Sharma
  • CRISP-PCCP – A Development Methodology Supporting FDA Approval for Machine Learning Enabled Medical Devices
    Ludwig Pechmann, Yannik Potdevin, Kai Brehmer, Dirk Nowotka, Martin Leucker
  • Model Driven Development for AI-based Healthcare Systems: A Review
    Colm Brandon, Amandeep Singh, Tiziana Margaria
  • Balancing Transparency and Risk: An Overview of the Security and Privacy Risks of Open-Source Machine Learning Models
    Dominik Hintersdorf, Lukas Struppek, Kristian Kersting
  • AI-related risk and uncertainty
    Giacomo Zanotti, Viola Schiaffonati, Daniele Chiffi, Daniele Chiffi
  • Leveraging Actionable Explanations to Improve People’s Reactions to AI-based Decisions
    Markus Langer, Isabel Valera
  • From Explanation Correctness to Explanation Goodness: Only Provably Correct Explanations can Save the World
    Maike Schwammberger
  • Thinking Outside the Box? Regulatory Sandboxes as a Tool for AI Regulation
    Hannah Ruschemeier
  • AI and Democratic Equality: How Surveillance Capitalism and Computational Propaganda Threaten Democracy
    Ashton Black
  • Safeguarding AI-Based Software Development and Verification using Witnesses (Position Paper)
    Dirk Beyer
  • End-to-End AI Generated Runtime Verification from Natural Language Specification
    Itay Cohen, Doron Peled
  • AI-Assisted Programming with Test-based Refinement
    Bernhard Aichernig, Klaus Havelund
  • Safer Than Perception: Increasing Resilience of Automated Vehicles Against Misperception
    Martin Fränzle, Andreas Hein
  • Towards ML-Integration and Training Patterns for AI-Enabled Systems
    Sven Peldszus, Henriette Knopp, Yorick Sens, Thorsten Berger
  • The Reachability Problem for Neural-Network Control Systems
    Christian Schilling, Martin Zimmermann