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Publication search results
found 19,618 matches
- 2024
- Antonios Alexos, Pierre Baldi:
FastStitch: Speech editing by hitch-hiking a pre-trained FastSpeech2 model. NLDL 2024: 1-6 - Pierre Baldi:
Deep Learning Over-Parameterization: the Shallow Fallacy. NLDL 2024: 7-12 - Tessa Bauman, Sven Goluza, Bruno Gasperov, Zvonko Kostanjcar:
Deep Reinforcement Learning for Goal-Based Investing Under Regime-Switching. NLDL 2024: 13-19 - Marie Bø-Sande, Edvin Benjaminsen, Neel Kanwal, Saul Fuster, Helga Hardardottir, Ingrid Lundal, Emilius A. M. Janssen, Kjersti Engan:
A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics. NLDL 2024: 20-26 - Lydia Bryan-Smith, Nina Dethlefs:
Towards AI for approximating hydrodynamic simulations as a 2D segmentation task. NLDL 2024: 27-35 - Jeffrey Nicholas Clark, Edward Alexander Small, Nawid Keshtmand, Michelle Wing Lam Wan, Elena Fillola Mayoral, Enrico Werner, Christopher P. Bourdeaux, Raúl Santos-Rodríguez:
TraCE: Trajectory Counterfactual Explanation Scores. NLDL 2024: 36-45 - Anton Debner, Maximilian Krahn, Vesa Hirvisalo:
Scheduling conditional task graphs with deep reinforcement learning. NLDL 2024: 46-52 - Phuong Dinh, Deddy Jobson, Takashi Sano, Hirotada Honda, Shugo Nakamura:
Understanding Neural ODE prediction decision using SHAP. NLDL 2024: 53-58 - Laurits Fromberg, Troels Nielsen, Flavia Dalia Frumosu, Line H. Clemmensen:
Beyond Accuracy: Fairness, Scalability, and Uncertainty Considerations in Facial Emotion Recognition. NLDL 2024: 67-74 - Jorge García-Torres, Øyvind Meinich-Bache, Siren Irene Rettedal, Amalie Kibsgaard, Sara Brunner, Kjersti Engan:
Comparative Analysis of Binary and Multiclass Activity Recognition in High-Quality Newborn Resuscitation Videos. NLDL 2024: 59-66 - Carina Geldhauser, Hermann Diebel-Fischer:
Is diverse and inclusive AI trapped in the gap between reality and algorithmizability? NLDL 2024: 75-80 - Simon Hallösta, Mats Ingemar Pettersson, Mattias Dahl:
Effects of Foreground Augmentations in Synthetic Training Data on the Use of UAVs for Weed Detection. NLDL 2024: 81-88 - Alouette van Hove, Kristoffer Aalstad, Norbert Pirk:
Guiding drones by information gain. NLDL 2024: 89-96 - Are C. Jensen:
Beyond output-mask comparison: A self-supervised inspired object scoring system for building change detection. NLDL 2024: 97-103 - Jonas Vestergaard Jensen, Mikkel Jordahn, Michael Riis Andersen:
Neural machine translation for automated feedback on children's early-stage writing. NLDL 2024: 104-112 - Pål Vegard Johnsen, Filippo Remonato:
SafetyCage: A misclassification detector for feed-forward neural networks. NLDL 2024: 113-119 - Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry:
Typicality-based point OOD detection with contrastive learning. NLDL 2024: 120-129 - Simon Martinus Koop, Mark A. Peletier, Jacobus Willem Portegies, Vlado Menkovski:
Neural Langevin Dynamics: Towards Interpretable Neural Stochastic Differential Equations. NLDL 2024: 130-137 - Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification. NLDL 2024: 138-144 - Jørgen Aarmo Lund, Karl Øyvind Mikalsen, Per Joel Burman, Ashenafi Zebene Woldaregay, Robert Jenssen:
Instruction-guided deidentification with synthetic test cases for Norwegian clinical text. NLDL 2024: 145-152 - Pieter Meiresone, David Van Hamme, Wilfried Philips:
Loop closure with a low power millimeter wave radar sensor using an autoencoder. NLDL 2024: 153-157 - Jon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai:
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI. NLDL 2024: 158-164 - Aritra Mukhopadhyay, Adhilsha A, Subhankar Mishra:
Large Neural Networks at a Fraction. NLDL 2024: 165-173 - Asbjørn Munk, Mads Nielsen:
MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept. NLDL 2024: 174-180 - Beatrix Miranda Ginn Nielsen, Lars Kai Hansen:
Hubness Reduction Improves Sentence-BERT Semantic Spaces. NLDL 2024: 181-204 - Alberto Pepe, Sven Buchholz, Joan Lasenby:
Clifford Group Equivariant Neural Network Layers for Protein Structure Prediction. NLDL 2024: 205-211 - Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Deep Perceptual Similarity is Adaptable to Ambiguous Contexts. NLDL 2024: 212-219 - Sanaullah Sanaullah:
A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models. NLDL 2024: 220-227 - Martijn Vermeer, Jacob Alexander Hay, David Völgyes, Zsófia Koma, Johannes Breidenbach, Daniele Fantin:
Lidar-based Norwegian tree species detection using deep learning. NLDL 2024: 228-234 - John Isak Fjellvang Villanger, Troels Arnfred Bojesen:
An Inductive Bias for Emergent Communication in a Continuous Setting. NLDL 2024: 235-243
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