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ORCID14th SCAI 2024: Jönköping, Sweden
- Florian Westphal, Einav Peretz-Andersson, Maria Riveiro, Kerstin Bach, Fredrik Heintz:
14th Scandinavian Conference on Artificial Intelligence SCAI 2024, June 10-11, 2024, Jönköping, Sweden. Linköping Electronic Conference Proceedings 208, Linköping University Electronic Press 2024, ISBN 978-91-8075-709-6 - Haldis Borgen, Oline Zachariassen, Pelin Mise, Ahmet Yildiz, Özlem Özgöbek
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Private Sensitive Content on Social Media: An Analysis and Automated Detection for Norwegian. 3-10 - Sonakshi Garg, Hugo Jönsson, Gustav Kalander, Axel Nilsson, Bhhaanu Pirange, Viktor Valadi, Johan Östman:
Poisoning Attacks on Federated Learning for Autonomous Driving. 11-18 - Erling Olweus, Ole J. Mengshoel:
Detecting and Segmenting Solar Farms in Satellite Imagery: A Study of Deep Neural Network Architectures. 19-28 - Massimiliano Ruocco, Zachari Thiry, Alessandro Nocente, Michail Spitieris:
Enhancing Indoor Temperature Forecasting through Synthetic Data in Low-Data Regime. 29-36 - Jenny Pettersson, Elias Hult, Tim Eriksson, Oluwatosin Adewumi:
Generative AI and Teachers - For Us or Against Us? A Case Study. 37-43 - Jan-Marius Vatle, Bjørn-Olav H. Eriksen, Ole J. Mengshoel:
Green Urban Mobility with Autonomous Electric Ferries: Studies of Simulated Maritime Collisions using Adaptive Stress Testing. 47-56 - Ola Thorsen, Emmanuel Esema, Said Hemaz, Kai Olav Ellefsen, Henrik Herrebrøden, Hugh A. von Arnim, Jim Torresen:
Can machine learning help reveal the competitive advantage of elite beach volleyball players? 57-66 - Max Pettersson, Florian Westphal, Maria Riveiro:
Exploring demonstration pre-training with improved Deep Q-learning. 67-75 - Peter Ørnulf Ivarsen, Marianne Bakken, Ahmed Mohammed:
3D Pointcloud Registration In-the-wild. 76-82 - Lukas Niehaus, Ulf Krumnack, Gunther Heidemann:
Weight Rescaling: Applying Initialization Strategies During Training. 83-92 - Amr Alkhatib, Henrik Boström:
Fast Approximation of Shapley Values with Limited Data. 95-100 - Ignacio Garnham, Rachel Charlotte Smith:
The Social Life of Algorithmic Values: Examining the Impact of Value-Based Frameworks in Everyday Life. 101-111 - Julian Alfredo Mendez, Timotheus Kampik, Andrea Aler Tubella, Virginia Dignum:
A Clearer View on Fairness: Visual and Formal Representations for Comparative Analysis. 112-120 - Amir Hossein Akhavan Rahnama, Judith Bütepage, Henrik Boström:
Local Point-wise Explanations of LambdaMART. 121-130 - Filippos Stamatiou, Xenofon Karakonstantis:
Should You Trust Your Voice Assistant? It's Complicated, but No. 131-137 - Alexander Florean, Jonas Forsman, Sebastian Herold:
On Population Fidelity as an Estimator for the Utility of Synthetic Training Data. 141-150 - Amir Hossein Akhavan Rahnama, Laura Galera Alfaro, Zhendong Wang, Maria Movin:
Local Interpretable Model-Agnostic Explanations for Neural Ranking Models. 151-159 - Talha Hanif Butt, Prayag Tiwari, Fernando Alonso-Fernandez:
Predicting Overtakes In Trucks Using Can Data. 160-167 - Martin Cooney, Lena Klasén, Fernando Alonso-Fernandez:
Designing Robots to Help Women. 168-177 - Ruslan Sorano, Kazi Shah Nawaz Ripon, Lars Vidar Magnusson:
Evolutionary Optimization of Artificial Neural Networks and Tree-Based Ensemble Models for Diagnosing Deep Vein Thrombosis. 178-187 - Suraj Neelakantan, Alexander Hansson, Jesper Norell, Johan Schött, Martin Längkvist, Amy Loutfi:
Machine Learning for Lithology Analysis using a Multi-Modal Approach of Integrating XRF and XCT data. 188-194 - William Babonnaud, Estelle Delouche, Mounir Lahlouh:
The Bias that Lies Beneath: Qualitative Uncovering of Stereotypes in Large Language Models. 195-203 - Aida Ashrafi, Bjørnar Tessem, Katja Enberg:
Analysing Unlabeled Data with Randomness and Noise: The Case of Fishery Catch Reports. 204-212
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