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ORCID44th SGAI Conf. 2024: Cambridge, UK - Part II
- Max Bramer, Frederic T. Stahl:
Artificial Intelligence XLI - 44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17-19, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15447, Springer 2025, ISBN 978-3-031-77917-6
Application Papers
- Lars E. O. Jacobson, Mohamed Bader-El-Den, Adrian A. Hopgood, Shamsul Masum, Vincenzo Tamma, David Prendergast, Peter Osborn:
Adaptive CNN Method for Prostate MR Image Segmentation Using Ensemble Learning. 3-17
Machine Vision
- Martin Holen, Jayant Singh, Christian W. Omlin, Jing Zhou, Kristian Muri Knausgård, Morten Goodwin:
Optimizing Autonomous Vehicle Racing Using Reinforcement Learning with Pre-trained Embeddings for Dimensionality Reduction. 21-34 - Hasnain Murtaza Syed, Mahdi Maktabdar Oghaz, Lakshmi Babu Saheer:
Semantic Segmentation for Landslide Detection Using Segformer. 35-45 - Say Meng Toh, Na Helian, Kudiwa Pasipamire, Yi Sun, Tony Pasipamire:
Vision-Based Human Fall Detection Using 3D Neural Networks. 46-58 - Ammar Memari, Tarek Debich:
Drone-Assisted Infrared Thermography and Machine Learning for Enhanced Photovoltaic Defect Detection: A Comparative Study of Vision Transformers and YOLOv8. 59-72
Evaluation of AI Systems
- Dauda Nanman Sheni, Anton Herman Basson, Jacomine Grobler:
Evaluating Algorithms for Missing Value Imputation in Real Battery Data. 75-87 - Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
Using Pseudo Cases and Stratified Case-Based Reasoning to Generate and Evaluate Training Adjustments for Marathon Runners. 88-101
Applications of Machine Learning
- Ritika Agarwal, Noorhan Abbas:
Emotion Detection in Hindi Language Using GPT and BERT. 105-118 - Nathan R. Dickson, Nicholas H. M. Caldwell:
Classification and Recommendation of Mental Health Assistance Events Using an RNN-LSTM, Fast-And-Frugal Trees and Weighted Sum System. 119-132 - Tyrell Martens, John Z. Zhang:
Digit Detection: Localizing and Convoluting. 133-146 - Sara Elo Dean, Lars Adrian Giske, Herman Jangsett Mostein, Silvia Podestà, Halvor Helland Barndon, Sara Stegane, Henrik Nordberg:
Djinn - Data Journalism Interface for Newsgathering and Notifications. 147-161 - Wei Liang Russell Tang:
Advancing Financial Text Sentiment Analysis with Deep Learning and Ensemble Models. 162-175
Other AI Applications
- Giancarlo Antonino Pasquale Ignazio Catalano, Alexander E. I. Brownlee, David E. Cairns, John A. W. McCall, Martin Fyvie, Russell Ainslie:
Explaining a Staff Rostering Problem Using Partial Solutions. 179-193 - Pak Yin Chan, Xue Li, Yiwei Lu, Yuhui Lin, Alan Bundy:
Formalise Regulations for Autonomous Vehicles with Right-Open Temporal Deontic Defeasible Logic. 194-207 - Jérôme Agater, Ammar Memari:
SLANGO - The Initial Blueprint of Privacy-Oriented Legal Query Assistance: Exploring the Potential of Retrieval-Augmented Generation for German Law Using SPR. 208-221
Short Application Papers
- Patricia Asowo, Sangeeta Lal, Uchenna Daniel Ani:
An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection. 225-231 - Madalina Croitoru, Pablo Laviron, Sio Bando, Eric Gilles, Amine Miled, Royce Anders, Nathalie Blanc, Gowrishankar Ganesh, Emmanuelle Brigaud:
A Child-Robot Interaction Experiment to Analyze Gender Stereotypes in the Perception of Mathematical Abilities. 232-237 - Xi Liu, Changgang Zheng, Zhen Chen, Yong Liao, Ren Chen, Shufan Yang:
Reinforcement Learning for Patient Scheduling with Combinatorial Optimisation. 238-243 - Frank Wallhoff, Fenja T. Hesselmann:
Nursing Activity Recognition for Automated Care Documentation in Clinical Settings. 244-250 - Reshma Maharjan, Per-Arne Andersen, Lei Jiao:
Exploring Efficient Job Shop Scheduling Using Deep Reinforcement Learning. 251-257 - Holly Burrows, Mahdi Maktabdar Oghaz, Lakshmi Babu Saheer:
Respiratory Disease Detection Using Deep Convolutional Transformer Models. 258-263 - Salwa Alahmari, Eric Atwell, Mohammad Ammar Alsalka, Hadeel Saadany:
Evaluating the Performance of LLMs When Translating Saudi Arabic as Low Resource Language. 264-269 - Lars Nolle, Nils Meinardus, Martin M. Kumm, Christoph Tholen:
Bi-directional LSTM Applied to the Maritime Target Motion Analysis Problem. 270-275
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