The 12th International Conference on Prestigious Applications of Intelligent Systems, PAIS 2023, will take place on October 3rd in Krakow, Poland, as a sister conference to ECAI 2023, in the ICE Congress Center.
PAIS is the largest showcase of real applications using AI technology worldwide and is the ideal place to meet developers of successful applications, discuss limitations of current algorithms, needs for future applications and algorithms, as well asnovel methods in data collection and machine learning.
This year’s conference will focus on the impact of current AI based solutions to critical topics related to our wellbeing and our world sustainability. Our aim is to provide a forum for academic and industrial researchers and practitioners to share experiences and insights on the applicability, development and deployment of intelligent systems. Papers highlighting AI aspects of the application of intelligent systems technology in the areas outlined above are most welcome.
Time | Paper Title | First Author Name | Authors Names |
9:30-10:15 |
Invited Talk: Bridging Two Worlds - Navigating Research Frontier and Real-World Relevance |
Sławomir Nowaczyk (Halmstad University, Sweden) |
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10:15-10:30 |
Acquisition and Formalization of Tacit Knowledge for Value Chain Generation in Local Production Networks |
Kerzel, Matthias |
Matthias Kerzel (University of Hamburg); Julia C Markert (Helmut-Schmidt- University)*; Emad Aghajanzadeh (Hamburger Informatik Technologie-Center); Stephanie von Riegen (Hamburger Informatik Technologie-Center); Lothar Hotz (Hamburger Informatik Technologie-Center); Pascal Krenz (Helmut-Schmidt-University Hamburg) |
10:30-10:45 |
Classifying Aircraft Categories from Magnetometry Data Using a Hypotheses-based Multi-Task Framework |
Vexler, Julian |
Julian Vexler (Johannes Gutenberg University Mainz)*; Stefan Kramer (Johannes Gutenberg University Mainz) |
10:45-11:00 |
CICERO: a GPT2-based writing assistant to investigate the effectiveness of specialized LLMs’ applications in e-justice |
Calamo, Marco |
Marco Calamo (La Sapienza); Francesca De Luzi (Sapienza University of Rome)*; Mattia Macrì (Sapienza University of Rome); Tommaso Mencattini (Sapienza Università di Roma); Massimo Mecella (Sapienza Università di Roma) |
11:00-11:15 |
Synerise Monad - Temporal Aspects in Behavioral Modeling |
Rychalska, Barbara |
Barbara Rychalska (Synerise/Warsaw University of Technology)*; Igor Sieradzki (Synerise); Jacek Dąbrowski (Synerise) |
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Coffee Break / Lunch |
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14:00-14:30 |
Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections |
Lund Flogard, Eirik |
Eirik Lund Flogard (Norwegian Labour Inspection Authority)*; Ole J. Mengshoel (Norwegian University of Science and Technology); Ole Magnus Theisen (Norwegian Labour Inspection Authority); Kerstin Bach (Norwegian University of Science and Technology) |
14:30-14:45 |
Online Evaluation of Tail Project Boosting in Citizen Science |
Sultan, Amit AS |
Amit AS Sultan (Ben gurion university)*; Avi Segal (Ben-Gurion University of the Negev); Guy Shani (Ben-Gurion University); Kobi Gal (BGU); Darlene Cavalier (Arizona State Univ) |
14:45-15:00 |
FMTesting: A FeatureIDE Plug-in for Automated Feature Model Analysis and Diagnosis |
Burgstaller, Tamim |
Tamim Burgstaller (Institute of Software Technology, Graz Univeristy of Technology); Viet-Man Le (Institute of Software Technology, Graz University of Technology)*; Thi Ngoc Trang Tran (TU Graz); Alexander Felfernig (TU Graz) |
15:00-15:15 |
A Neuro-Symbolic Approach for Non-Intrusive Load Monitoring |
Apriceno, Gianluca |
Gianluca Apriceno (Fondazione Bruno Kessler)*; Luca Erculiani (University of Trento); Andrea Passerini (University of Trento) |
15:15-15:30 |
Environmentally-Aware Bundle Recommendation Using the Choquet Integral |
Bronzini, Marco MB |
Marco MB Bronzini (University of Trento)*; Erich Robbi (University of Trento ); Paolo Viappiani (CNRS); Andrea Passerini (University of Trento) |
15:30-15:45 |
Building a Few-Shot Cross-Domain Multilingual NLU Model for Customer Care |
Kumar, Saurabh |
Saurabh Kumar (Walmart Global Tech, Bangalore, India)*; Sourav Bansal (Indian Institute of Technology Delhi); Neeraj Agrawal (Walmart Global Tech, Bangalore); Priyanka Bhatt (Walmart Global Tech, Bangalore, India) |