2025
Aggregation Strategies for Efficient Annotation of Bioacoustic Sound Events Using Active Learning.
CoRR, March, 2025
The Accuracy Cost of Weakness: A Theoretical Analysis of Fixed-Segment Weak Labeling for Events in Time.
CoRR, February, 2025
2024
Flexible SE(2) graph neural networks with applications to PDE surrogates.
CoRR, 2024
Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning.
CoRR, 2024
Efficient Node Selection in Private Personalized Decentralized Learning.
Proceedings of the Northern Lights Deep Learning Conference, 2024
From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning.
Proceedings of the 32nd European Signal Processing Conference, 2024
2023
Concept-aware clustering for decentralized deep learning under temporal shift.
CoRR, 2023
Grammatical gender in Swedish is predictable using recurrent neural networks.
CoRR, 2023
Private Node Selection in Personalized Decentralized Learning.
CoRR, 2023
Fully Convolutional Networks for Dense Water Flow Intensity Prediction in Swedish Catchment Areas.
Proceedings of the 35th Annual Workshop of the Swedish Artificial Intelligence Society, 2023
2022
Decentralized Adaptive Clustering of Deep Nets is Beneficial for Client Collaboration.
Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022
Few-Shot Bioacoustic Event Detection Using an Event-Length Adapted Ensemble of Prototypical Networks.
Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022
Residual value prediction using deep learning.
Proceedings of the IEEE International Conference on Big Data, 2022
EFFGAN: Ensembles of fine-tuned federated GANs.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Decentralized federated learning of deep neural networks on non-iid data.
CoRR, 2021
Scaling Federated Learning for Fine-Tuning of Large Language Models.
Proceedings of the Natural Language Processing and Information Systems, 2021
Adversarial representation learning for synthetic replacement of private attributes.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks.
J. Heal. Informatics Res., 2020
Federated learning using a mixture of experts.
CoRR, 2020
Adversarial representation learning for private speech generation.
CoRR, 2020
2019
Semantic Segmentation of Fashion Images Using Feature Pyramid Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Generative Modelling of Semantic Segmentation Data in the Fashion Domain.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
2018
Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks.
Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018
2017
Character-based recurrent neural networks for morphological relational reasoning.
Proceedings of the First Workshop on Subword and Character Level Models in NLP, 2017
2016
C-RNN-GAN: Continuous recurrent neural networks with adversarial training.
CoRR, 2016
Summarizing Online User Reviews Using Bicliques.
Proceedings of the SOFSEM 2016: Theory and Practice of Computer Science, 2016
Assisting Discussion Forum Users using Deep Recurrent Neural Networks.
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016
Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMs.
Proceedings of the Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining, 2016
2015
Visions and open challenges for a knowledge-based culturomics.
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Int. J. Digit. Libr., 2015
Extractive Summarization by Aggregating Multiple Similarities.
Proceedings of the Recent Advances in Natural Language Processing, 2015
2014
J. Graph Algorithms Appl., 2014
Editing the Simplest Graphs.
Proceedings of the Algorithms and Computation - 8th International Workshop, 2014
Extractive Summarization using Continuous Vector Space Models.
Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality, 2014
2008
Adaptive Dynamics of Realistic Small-World Networks
CoRR, 2008