Abstract is missing.
- FastStitch: Speech editing by hitch-hiking a pre-trained FastSpeech2 modelAntonios Alexos, Pierre Baldi. 1-6 [doi]
- Deep Learning Over-Parameterization: the Shallow FallacyPierre Baldi. 7-12 [doi]
- Deep Reinforcement Learning for Goal-Based Investing Under Regime-SwitchingTessa Bauman, Sven Goluza, Bruno Gasperov, Zvonko Kostanjcar. 13-19 [doi]
- A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and PrognosticsMarie Bø-Sande, Edvin Benjaminsen, Neel Kanwal, Saul Fuster, Helga Hardardottir, Ingrid Lundal, Emilius A. M. Janssen, Kjersti Engan. 20-26 [doi]
- Towards AI for approximating hydrodynamic simulations as a 2D segmentation taskLydia Bryan-Smith, Nina Dethlefs. 27-35 [doi]
- TraCE: Trajectory Counterfactual Explanation ScoresJeffrey Nicholas Clark, Edward Alexander Small, Nawid Keshtmand, Michelle Wing Lam Wan, Elena Fillola Mayoral, Enrico Werner, Christopher P. Bourdeaux, Raúl Santos-Rodríguez. 36-45 [doi]
- Scheduling conditional task graphs with deep reinforcement learningAnton Debner, Maximilian Krahn, Vesa Hirvisalo. 46-52 [doi]
- Understanding Neural ODE prediction decision using SHAPPhuong Dinh, Deddy Jobson, Takashi Sano, Hirotada Honda, Shugo Nakamura. 53-58 [doi]
- Comparative Analysis of Binary and Multiclass Activity Recognition in High-Quality Newborn Resuscitation VideosJorge García-Torres, Øyvind Meinich-Bache, Siren Irene Rettedal, Amalie Kibsgaard, Sara Brunner, Kjersti Engan. 59-66 [doi]
- Beyond Accuracy: Fairness, Scalability, and Uncertainty Considerations in Facial Emotion RecognitionLaurits Fromberg, Troels Nielsen, Flavia Dalia Frumosu, Line H. Clemmensen. 67-74 [doi]
- Is diverse and inclusive AI trapped in the gap between reality and algorithmizability?Carina Geldhauser, Hermann Diebel-Fischer. 75-80 [doi]
- Effects of Foreground Augmentations in Synthetic Training Data on the Use of UAVs for Weed DetectionSimon Hallösta, Mats Ingemar Pettersson, Mattias Dahl. 81-88 [doi]
- Guiding drones by information gainAlouette van Hove, Kristoffer Aalstad, Norbert Pirk. 89-96 [doi]
- Beyond output-mask comparison: A self-supervised inspired object scoring system for building change detectionAre C. Jensen. 97-103 [doi]
- Neural machine translation for automated feedback on children's early-stage writingJonas Vestergaard Jensen, Mikkel Jordahn, Michael Riis Andersen. 104-112 [doi]
- SafetyCage: A misclassification detector for feed-forward neural networksPål Vegard Johnsen, Filippo Remonato. 113-119 [doi]
- Typicality-based point OOD detection with contrastive learningNawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry. 120-129 [doi]
- Neural Langevin Dynamics: Towards Interpretable Neural Stochastic Differential EquationsSimon Martinus Koop, Mark A. Peletier, Jacobus Willem Portegies, Vlado Menkovski. 130-137 [doi]
- Heterogeneous Learning for Brain Lesion Segmentation, Detection, and ClassificationSebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi. 138-144 [doi]
- Instruction-guided deidentification with synthetic test cases for Norwegian clinical textJørgen Aarmo Lund, Karl Øyvind Mikalsen, Per Joel Burman, Ashenafi Zebene Woldaregay, Robert Jenssen. 145-152 [doi]
- Loop closure with a low power millimeter wave radar sensor using an autoencoderPieter Meiresone, David Van Hamme, Wilfried Philips. 153-157 [doi]
- Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRIJon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai. 158-164 [doi]
- Large Neural Networks at a FractionAritra Mukhopadhyay, Adhilsha A, Subhankar Mishra. 165-173 [doi]
- MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of ConceptAsbjørn Munk, Mads Nielsen. 174-180 [doi]
- Hubness Reduction Improves Sentence-BERT Semantic SpacesBeatrix Miranda Ginn Nielsen, Lars Kai Hansen. 181-204 [doi]
- Clifford Group Equivariant Neural Network Layers for Protein Structure PredictionAlberto Pepe, Sven Buchholz, Joan Lasenby. 205-211 [doi]
- Deep Perceptual Similarity is Adaptable to Ambiguous ContextsGustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki. 212-219 [doi]
- A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning ModelsSanaullah Sanaullah. 220-227 [doi]
- Lidar-based Norwegian tree species detection using deep learningMartijn Vermeer, Jacob Alexander Hay, David Völgyes, Zsófia Koma, Johannes Breidenbach, Daniele Fantin. 228-234 [doi]
- An Inductive Bias for Emergent Communication in a Continuous SettingJohn Isak Fjellvang Villanger, Troels Arnfred Bojesen. 235-243 [doi]
- Efficient Node Selection in Private Personalized Decentralized LearningEdvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad. 244-250 [doi]