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Viewing Publication 1 - 100 from 116

2024

FastStitch: Speech editing by hitch-hiking a pre-trained FastSpeech2 modelAntonios Alexos, Pierre Baldi. nldl 2024: 1-6 [doi]

Deep Learning Over-Parameterization: the Shallow FallacyPierre Baldi. nldl 2024: 7-12 [doi]

Deep Reinforcement Learning for Goal-Based Investing Under Regime-SwitchingTessa Bauman, Sven Goluza, Bruno Gasperov, Zvonko Kostanjcar. nldl 2024: 13-19 [doi]

Towards AI for approximating hydrodynamic simulations as a 2D segmentation taskLydia Bryan-Smith, Nina Dethlefs. nldl 2024: 27-35 [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. nldl 2024: 20-26 [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. nldl 2024: 36-45 [doi]

Scheduling conditional task graphs with deep reinforcement learningAnton Debner, Maximilian Krahn, Vesa Hirvisalo. nldl 2024: 46-52 [doi]

Understanding Neural ODE prediction decision using SHAPPhuong Dinh, Deddy Jobson, Takashi Sano, Hirotada Honda, Shugo Nakamura. nldl 2024: 53-58 [doi]

Beyond Accuracy: Fairness, Scalability, and Uncertainty Considerations in Facial Emotion RecognitionLaurits Fromberg, Troels Nielsen, Flavia Dalia Frumosu, Line H. Clemmensen. nldl 2024: 67-74 [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. nldl 2024: 59-66 [doi]

Is diverse and inclusive AI trapped in the gap between reality and algorithmizability?Carina Geldhauser, Hermann Diebel-Fischer. nldl 2024: 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. nldl 2024: 81-88 [doi]

Neural machine translation for automated feedback on children's early-stage writingJonas Vestergaard Jensen, Mikkel Jordahn, Michael Riis Andersen. nldl 2024: 104-112 [doi]

Beyond output-mask comparison: A self-supervised inspired object scoring system for building change detectionAre C. Jensen. nldl 2024: 97-103 [doi]

SafetyCage: A misclassification detector for feed-forward neural networksPål Vegard Johnsen, Filippo Remonato. nldl 2024: 113-119 [doi]

Typicality-based point OOD detection with contrastive learningNawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry. nldl 2024: 120-129 [doi]

Neural Langevin Dynamics: Towards Interpretable Neural Stochastic Differential EquationsSimon Martinus Koop, Mark A. Peletier, Jacobus Willem Portegies, Vlado Menkovski. nldl 2024: 130-137 [doi]

Heterogeneous Learning for Brain Lesion Segmentation, Detection, and ClassificationSebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi. nldl 2024: 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. nldl 2024: 145-152 [doi]

Northern Lights Deep Learning Conference, NLDL 2024, 9-11 January 2024, UiT The Arctic University, Tromsø, NorwayTetiana Lutchyn, Adín Ramírez Rivera, Benjamin Ricaud, editors, Volume 233 of Proceedings of Machine Learning Research, PMLR, 2024. [doi]

Loop closure with a low power millimeter wave radar sensor using an autoencoderPieter Meiresone, David Van Hamme, Wilfried Philips. nldl 2024: 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. nldl 2024: 158-164 [doi]

Large Neural Networks at a FractionAritra Mukhopadhyay, Adhilsha A, Subhankar Mishra. nldl 2024: 165-173 [doi]

MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of ConceptAsbjørn Munk, Mads Nielsen. nldl 2024: 174-180 [doi]

Hubness Reduction Improves Sentence-BERT Semantic SpacesBeatrix Miranda Ginn Nielsen, Lars Kai Hansen. nldl 2024: 181-204 [doi]

Clifford Group Equivariant Neural Network Layers for Protein Structure PredictionAlberto Pepe, Sven Buchholz, Joan Lasenby. nldl 2024: 205-211 [doi]

Deep Perceptual Similarity is Adaptable to Ambiguous ContextsGustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki. nldl 2024: 212-219 [doi]

A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning ModelsSanaullah Sanaullah. nldl 2024: 220-227 [doi]

Guiding drones by information gainAlouette van Hove, Kristoffer Aalstad, Norbert Pirk. nldl 2024: 89-96 [doi]

Lidar-based Norwegian tree species detection using deep learningMartijn Vermeer, Jacob Alexander Hay, David Völgyes, Zsófia Koma, Johannes Breidenbach, Daniele Fantin. nldl 2024: 228-234 [doi]

An Inductive Bias for Emergent Communication in a Continuous SettingJohn Isak Fjellvang Villanger, Troels Arnfred Bojesen. nldl 2024: 235-243 [doi]

Efficient Node Selection in Private Personalized Decentralized LearningEdvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad. nldl 2024: 244-250 [doi]

2023

Automatic Postoperative Brain Tumor Segmentation with Limited Data using Transfer Learning and Triplet AttentionJingpeng Li 0006, Atle Bjørnerud. nldl 2023: [doi]

Proceedings of the 2023 Northern Lights Deep Learning Workshop, NLDL 2023, Tromsø, Norway, January 10-12, 2023Septentrio Academic Publishing, 2023. [doi]

Nearest Unitary and Toeplitz matrix techniques for adaptation of Deep Learning models in photonic FPGAGeorgios Agrafiotis, Eftychia Makri, Ilias Kalamaras, Antonios Lalas, Konstantinos Votis, Dimitrios Tzovaras. nldl 2023: [doi]

Automatic Consistency Checking of Table and Text in Financial DocumentsSyed Musharraf Ali, Tobias Deußer, Sebastian Houben, Lars Patrick Hillebrand, Tim Metzler, Rafet Sifa. nldl 2023: [doi]

Boundary Aware U-Net for Glacier SegmentationBibek Aryal, Katie E. Miles, Sergio A. Vargas Zesati, Olac Fuentes. nldl 2023: [doi]

Improving Wind Speed Uncertainty Forecasts Using Recurrent Neural NetworksJuri Backes, Wolfgang Renz. nldl 2023: [doi]

Simplifying Clustering with Graph Neural NetworksFilippo Maria Bianchi. nldl 2023: [doi]

FastDTI: Drug-Target Interaction Prediction using Multimodality and TransformersMathijs Boezer, Maryam Tavakol, Zahra Sajadi. nldl 2023: [doi]

A comparison between Tsetlin machines and deep neural networks in the context of recommendation systemsKarl Audun Borgersen, Morten Goodwin, Jivitesh Sharma. nldl 2023: [doi]

Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image SegmentationNicklas Boserup, Raghavendra Selvan. nldl 2023: [doi]

Using Mask R-CNN for Underwater Fish Instance Segmentation as Novel Objects: A Proof of ConceptI-Hao Chen, Nabil Belbachir. nldl 2023: [doi]

Robin Pre-Training for the Deep Ritz MethodLuca Courte, Marius Zeinhofer. nldl 2023: [doi]

Contradiction Detection in Financial ReportsTobias Deußer, Maren Pielka, Lisa Pucknat, Basil Jacob, Tim Dilmaghani Khameneh, Mahdis Nourimand, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa. nldl 2023: [doi]

3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRIAlvaro Fernandez-Quilez, Christoffer Gabrielsen Andersen, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal. nldl 2023: [doi]

Contrastive learning for unsupervised medical image clustering and reconstructionMatteo Ferrante, Tommaso Boccato, Andrea Duggento, Simeon E. Spasov, Nicola Toschi. nldl 2023: [doi]

Signal and Visual Approaches for Parkinson's Disease Detection from Spiral DrawingsManuel Gil-Martín, Cristina Luna Jiménez, Fernando Fernández-Martínez, Rubén San Segundo. nldl 2023: [doi]

Explainability in subgraphs-enhanced Graph Neural NetworksMichele Guerra, Indro Spinelli, Simone Scardapane, Filippo Maria Bianchi. nldl 2023: [doi]

Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasksMiquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki. nldl 2023: [doi]

Evaluating current state of monocular 3D pose models for golfChristian Keilstrup Ingwersen, Janus Nørtoft Jensen, Morten Rieger Hannemose, Anders Bjorholm Dahl. nldl 2023: [doi]

Measuring Adversarial Robustness using a Voronoi-Epsilon AdversaryHyeongji Kim, Pekka Parviainen, Ketil Malde. nldl 2023: [doi]

Solving Nonlinear Conservation Laws of Partial Differential Equations Using Graph Neural NetworksQing Li, Jiahui Geng, Steinar Evje, Chunming Rong. nldl 2023: [doi]

Improved Imagery Throughput via Cascaded Uncertainty Pruning on U-Net++Mingshi Li, Zifu Wang, Matthew B. Blaschko. nldl 2023: [doi]

Interactive Scribble SegmentationMathias Micheelsen Lowes, Jakob L. Christensen, Bjørn Schreblowski Hansen, Morten Rieger Hannemose, Anders Bjorholm Dahl, Vedrana Andersen Dahl. nldl 2023: [doi]

Reducing Annotator's Burden: Cross-Pseudo Supervision for Brain Tumor SegmentationLidia Luque, Jon André Ottesen, Atle Bjørnerud, Kyrre Eeg Emblem, Bradley J. MacIntosh. nldl 2023: [doi]

Hybrid bayesian convolutional neural network object detection architectures for tracking small markers in automotive crashtest videosFelix Neubürger, Daniel Gierse, Thomas Kopinski. nldl 2023: [doi]

RIDDLE: Rule Induction with Deep LearningCosimo Persia, Ricardo Guimarães 0001. nldl 2023: [doi]

Learning to solve arithmetic problems with a virtual abacusFlavio Petruzzellis, Ling Xuan Chen, Alberto Testolin. nldl 2023: [doi]

Using deep convolutional neural networks to predict patients age based on ECGs from an independent test cohortBjørn-Jostein Singstad, Belal Tavashi. nldl 2023: [doi]

Identifying and Mitigating Flaws of Deep Perceptual Similarity MetricsOskar Sjögren, Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki. nldl 2023: [doi]

Multi-modal data generation with a deep metric variational autoencoderJosefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen, Peter Bray, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen. nldl 2023: [doi]

Multi-lingual agents through multi-headed neural networksJonathan D. Thomas, Raúl Santos-Rodríguez, Mihai Anca, Robert J. Piechocki. nldl 2023: [doi]

Questionable Practices in Methodological Deep Learning ResearchDaniel J. Trosten. nldl 2023: [doi]

Semi- and weak-supervised learning for Norwegian tree species detectionMartijn Vermeer, David Völgyes, Tord Kriznik Sørensen, Heidrun Miller, Daniele Fantin. nldl 2023: [doi]

PLM-AS: Pre-trained Language Models Augmented with Scanpaths for Sentiment ClassificationDuo Yang, Nora Hollenstein. nldl 2023: [doi]

A contrastive learning approach for individual re-identification in a wild fish populationØrjan Langøy Olsen, Tonje Knutsen Sørdalen, Morten Goodwin, Ketil Malde, Kristian Muri Knausgård, Kim Tallaksen Halvorsen. nldl 2023: [doi]

2022

Proceedings of the 2022 Northern Lights Deep Learning Workshop, NLDL 2022, virtual, January 10-12, 2022Septentrio Academic Publishing, 2022. [doi]

Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer LearningTosin P. Adewumi, Rickard Brännvall, Nosheen Abid, Maryam Pahlavan, Sana Sabah Sabry, Foteini Liwicki, Marcus Liwicki. nldl 2022: [doi]

Forecasting Aquaponic Systems Behaviour With Recurrent Neural Networks ModelsJuan Cardenas-Cartagena, Mohamed Elnourani, Baltasar Beferull-Lozano. nldl 2022: [doi]

LayeredCNN: Segmenting Layers with Autoregressive ModelsJakob L. Christensen, Patrick Møller Jensen, Morten Rieger Hannemose, Anders Bjorholm Dahl, Vedrana Andersen Dahl. nldl 2022: [doi]

The effect of dataset confounding on predictions of deep neural networks for medical imagingBeatriz Garcia Santa Cruz, Andreas Husch, Frank Hertel. nldl 2022: [doi]

Modelling Phytoplankton Behaviour in the North and Irish Sea with Transformer NetworksOnatkut Dagtekin, Nina Dethlefs. nldl 2022: [doi]

A mammography classification model trained from image labels onlyFredrik Dahl, Marit Holden, Olav Brautaset, Line Eikvil. nldl 2022: [doi]

Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource LanguagesSneha Das, Nicklas Leander Lund, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen. nldl 2022: [doi]

Deep Reinforcement Learning for Detection of Abnormal AnatomiesPaula López Diez, Kristine Aavild Juhl, Josefine Vilsbøll Sundgaard, Hassan Diab, Ján Margeta, François Patou, Rasmus R. Paulsen. nldl 2022: [doi]

SparseMeshCNN with Self-Attention for Segmentation of Large MeshesBjørn Schreblowski Hansen, Mathias Micheelsen Lowes, Thomas Ørkild, Anders B. Dahl, Vedrana Andersen Dahl, Ole De Backer, Oscar Camara, Rasmus R. Paulsen, Christian Keilstrup Ingwersen, Kristine Sørensen. nldl 2022: [doi]

Mutual information estimation for graph convolutional neural networksMarius Cervera Landsverk, Signe Riemer-Sørensen. nldl 2022: [doi]

Surrogate-data-enriched Physics-Aware Neural NetworksRaphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, Dirk Pflüger. nldl 2022: [doi]

An analysis of over-sampling labeled data in semi-supervised learning with FixMatchMiquel Martí, Sebastian Bujwid, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki. nldl 2022: [doi]

Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert ExamplesLi Meng, Anis Yazidi, Morten Goodwin, Paal Engelstad. nldl 2022: [doi]

Fast accuracy estimation of deep learning based multi-class musical source separationAlexandru Mocanu, Benjamin Ricaud, Milos Cernak. nldl 2022: [doi]

Add a SideNet to your MainNetAdrien Morisot. nldl 2022: [doi]

Re-Identification of Giant Sunfish using Keypoint MatchingMalte Pedersen, Joakim Bruslund Haurum, Thomas B. Moeslund, Marianne Nyegaard. nldl 2022: [doi]

Extracting Rules from Neural Networks with Partial InterpretationsCosimo Persia, Ana Ozaki. nldl 2022: [doi]

Compressing CNN Kernels for Videos Using Tucker Decompositions: Towards Lightweight CNN ApplicationsTobias Engelhardt Rasmussen, Line Katrine Harder Clemmensen, Andreas Baum. nldl 2022: [doi]

Unsupervised Time Series Classification for Climate DataAlex Romanova. nldl 2022: [doi]

Self-Communicating Deep Reinforcement Learning Agents Develop External Number RepresentationsSilvester Sabathiel, Trygve Solstad, Alberto Testolin, Flavio Petruzzellis. nldl 2022: [doi]

Photo-Realistic Continuous Image Super-Resolution with Implicit Neural Networks and Generative Adversarial NetworksMuhammad Sarmad, Leonardo Ruspini, Frank Lindseth. nldl 2022: [doi]

Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus ApproachJonas Schulz, Raúl Santos-Rodríguez, Rafael Poyiadzi. nldl 2022: [doi]

Towards Understanding of User Perceptions for Smart Border Control Technologies using a Fine-Tuned Transformer ApproachSarang Shaikh, Sule Yildirim Yayilgan, Erjon Zoto, Mohamed Abomhara. nldl 2022: [doi]

Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connectionLuca Tomasetti, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz. nldl 2022: [doi]

Learnable filter-banks for CNN-based audio applicationsHelena Peic Tukuljac, Benjamin Ricaud, Nicolas Aspert, Laurent Colbois. nldl 2022: [doi]

CryoSat-2 waveform classification for melt event monitoringMartijn Vermeer, David Völgyes, Malcolm McMillan, Daniele Fantin. nldl 2022: [doi]

Optimizing Slimmable Networks for Multiple Target PlatformsZifu Wang, Matthew B. Blaschko. nldl 2022: [doi]

Detection of forest roads in Sentinel-2 images using U-NetØivind Due Trier, Arnt-Børre Salberg, Ragnvald Larsen, Ole Torbjørn Nyvoll. nldl 2022: [doi]

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