Nils Y. Hammerla

According to our database1, Nils Y. Hammerla authored at least 45 papers between 2011 and 2023.

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Bibliography

2023
Causally-guided Regularization of Graph Attention Improves Generalizability.
Trans. Mach. Learn. Res., 2023

Graph Neural Networks for Link Prediction with Subgraph Sketching.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021
Towards more patient friendly clinical notes through language models and ontologies.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Neural Temporal Point Processes For Modelling Electronic Health Records.
Proceedings of the Machine Learning for Health Workshop, 2020

Biomedical Concept Relatedness - A large EHR-based benchmark.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Estimating Mutual Information Between Dense Word Embeddings.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Neural Language Priors.
CoRR, 2019

Relational Graph Attention Networks.
CoRR, 2019

Babylon Health's Medical Knowledge Graph: Why, What, and How.
Proceedings of the 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2019

Explaining Deep Learning Models with Constrained Adversarial Examples.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Correlation Coefficients and Semantic Textual Similarity.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Model Comparison for Semantic Grouping.
Proceedings of the 36th International Conference on Machine Learning, 2019

Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors.
Proceedings of the 7th International Conference on Learning Representations, 2019

Correlations between Word Vector Sets.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multilingual Factor Analysis.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Attention U-Net: Learning Where to Look for the Pancreas.
CoRR, 2018

Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Offline bilingual word vectors, orthogonal transformations and the inverted softmax.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Optimising sampling rates for accelerometer-based human activity recognition.
Pattern Recognit. Lett., 2016

Sorting out symptoms: design and evaluation of the 'babylon check' automated triage system.
CoRR, 2016

Deep, Convolutional, and Recurrent Models for Human Activity Recognition Using Wearables.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Interactivity: Using Expressy to Demonstrate Expressiveness in Touch-based Interactions.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Expressy: Using a Wrist-worn Inertial Measurement Unit to Add Expressiveness to Touch-based Interactions.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Video Showcase: Using Expressy to Showcase Expressiveness in Touch-based Interactions.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
Activity recognition in naturalistic environments using body-worn sensors.
PhD thesis, 2015

How did I do?: Automatic Skill Assessment from Activity Data.
GetMobile Mob. Comput. Commun., 2015

Diri - the actuated helium balloon: a study of autonomous behaviour in interfaces.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

Let's (not) stick together: pairwise similarity biases cross-validation in activity recognition.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

CueS: cueing for upper limb rehabilitation in stroke.
Proceedings of the 2015 British HCI Conference, Lincoln, United Kingdom, July 13-17, 2015, 2015

PD Disease State Assessment in Naturalistic Environments Using Deep Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Using unlabeled data in a sparse-coding framework for human activity recognition.
Pervasive Mob. Comput., 2014

Automated surgical OSATS prediction from videos.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
The mobile fitness coach: Towards individualized skill assessment using personalized mobile devices.
Pervasive Mob. Comput., 2013

On preserving statistical characteristics of accelerometry data using their empirical cumulative distribution.
Proceedings of the 17th Annual International Symposium on Wearable Computers. ISWC 2013, 2013

ClimbAX: skill assessment for climbing enthusiasts.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

Dog's life: wearable activity recognition for dogs.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

Automatic correction of annotation boundaries in activity datasets by class separation maximization.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

Touchbugs: actuated tangibles on multi-touch tables.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

2012
GymSkill: A personal trainer for physical exercises.
Proceedings of the 2012 IEEE International Conference on Pervasive Computing and Communications, 2012

Automatic Synchronization of Wearable Sensors and Video-Cameras for Ground Truth Annotation - A Practical Approach.
Proceedings of the 16th International Symposium on Wearable Computers, 2012

A statistical aimbot detection method for online FPS games.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Aimbot Detection in Online FPS Games Using a Heuristic Method Based on Distribution Comparison Matrix.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Automatic assessment of problem behavior in individuals with developmental disabilities.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

2011
Feature Learning for Activity Recognition in Ubiquitous Computing.
Proceedings of the IJCAI 2011, 2011

Cueing for drooling in Parkinson's disease.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011


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