Proceedings of the Northern Lights Deep Learning Workshop

Journal

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H-Index = 7

Citations = 217

Papers

Evidence

Recent papers in Proceedings of the Northern Lights Deep Learning Workshop

A contrastive learning approach for individual re-identification in a wild fish populationProceedings of the Northern Lights Deep Learning Workshop · 2023
Multi-modal data generation with a deep metric variational autoencoderProceedings of the Northern Lights Deep Learning Workshop · 2023
PLM-AS: Pre-trained Language Models Augmented with Scanpaths for Sentiment ClassificationProceedings of the Northern Lights Deep Learning Workshop · 2023
Automatic Consistency Checking of Table and Text in Financial DocumentsProceedings of the Northern Lights Deep Learning Workshop · 2023
Learning to solve arithmetic problems with a virtual abacusProceedings of the Northern Lights Deep Learning Workshop · 2023
Simplifying Clustering with Graph Neural NetworksProceedings of the Northern Lights Deep Learning Workshop · 2023
Solving Nonlinear Conservation Laws of Partial Differential Equations Using Graph Neural NetworksProceedings of the Northern Lights Deep Learning Workshop · 2023
Robin Pre-Training for the Deep Ritz MethodProceedings of the Northern Lights Deep Learning Workshop · 2023
Evaluating current state of monocular 3D pose models for golfProceedings of the Northern Lights Deep Learning Workshop · 2023
Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer LearningProceedings of the Northern Lights Deep Learning Workshop · 2022
Towards Understanding of User Perceptions for Smart Border Control Technologies using a Fine-Tuned Transformer ApproachProceedings of the Northern Lights Deep Learning Workshop · 2022
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus ApproachProceedings of the Northern Lights Deep Learning Workshop · 2022
Add a SideNet to your MainNetProceedings of the Northern Lights Deep Learning Workshop · 2022
Robust Deep Interpretable Features for Binary Image ClassificationProceedings of the Northern Lights Deep Learning Workshop · 2021
Joint Attention Neural Model for Demand Prediction in Online MarketplacesProceedings of the Northern Lights Deep Learning Workshop · 2020

About Proceedings of the Northern Lights Deep Learning Workshop

Proceedings of the Northern Lights Deep Learning Workshop carries 80 indexed papers, 217 citations, h-index 7 in Synapse's enriched corpus. Each paper indexed here includes structured clinical evidence extraction (PICO), methodology classification with level of evidence, and links to related guideline recommendations where applicable.

On Synapse's credibility score (derived from SJR ranking and cross-citation patterns), Proceedings of the Northern Lights Deep Learning Workshop sits in the upper tier of credibility for cardiology publications.

The journal's official homepage is at https://septentrio.uit.no/index.php/nldl/issue/archive.

Use the feed below to follow new Proceedings of the Northern Lights Deep Learning Workshop publications with AI-enriched analysis — each paper is decomposed into study design, population, intervention, comparator, primary outcome, and key finding, with the underlying evidence traceable to the primary source.

Deterministic synthesis from Synapse's enriched records — 124 words.