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2020 – today
- 2025
[i18]John Martinsson, Olof Mogren, Tuomas Virtanen, Maria Sandsten:
The Accuracy Cost of Weakness: A Theoretical Analysis of Fixed-Segment Weak Labeling for Events in Time. CoRR abs/2502.09363 (2025)- [i17]Richard Lindholm, Oscar Marklund, Olof Mogren, John Martinsson:
Aggregation Strategies for Efficient Annotation of Bioacoustic Sound Events Using Active Learning. CoRR abs/2503.02422 (2025) - 2024
- [c19]John Martinsson, Olof Mogren, Maria Sandsten, Tuomas Virtanen:
From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning. EUSIPCO 2024: 902-906 - [c18]Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad:
Efficient Node Selection in Private Personalized Decentralized Learning. NLDL 2024: 244-250 - [i16]Martin Willbo, Aleksis Pirinen, John Martinsson, Edvin Listo Zec, Olof Mogren, Mikael Nilsson:
Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning. CoRR abs/2403.04385 (2024) - [i15]John Martinsson, Olof Mogren, Maria Sandsten, Tuomas Virtanen:
From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning. CoRR abs/2403.08525 (2024) - [i14]Maria Bånkestad, Olof Mogren, Aleksis Pirinen:
Flexible SE(2) graph neural networks with applications to PDE surrogates. CoRR abs/2405.20287 (2024) - 2023
- [c17]Aleksis Pirinen, Olof Mogren, Mårten Västerdal:
Fully Convolutional Networks for Dense Water Flow Intensity Prediction in Swedish Catchment Areas. SAIS 2023: 18-27 - [i13]Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad:
Private Node Selection in Personalized Decentralized Learning. CoRR abs/2301.12755 (2023) - [i12]Aleksis Pirinen, Olof Mogren, Mårten Västerdal:
Fully Convolutional Networks for Dense Water Flow Intensity Prediction in Swedish Catchment Areas. CoRR abs/2304.01658 (2023) - [i11]Edvin Listo Zec, Olof Mogren:
Grammatical gender in Swedish is predictable using recurrent neural networks. CoRR abs/2306.10869 (2023) - [i10]Marcus Toftås, Emilie Klefbom, Edvin Listo Zec, Martin Willbo, Olof Mogren:
Concept-aware clustering for decentralized deep learning under temporal shift. CoRR abs/2306.12768 (2023) - 2022
- [c16]Ebba Ekblom, Edvin Listo Zec, Olof Mogren:
EFFGAN: Ensembles of fine-tuned federated GANs. IEEE Big Data 2022: 884-892 - [c15]Edvin Listo Zec, Olof Mogren, Ann-Charlotte Mellquist, Sarah Fallahi, Peter Algurén:
Residual value prediction using deep learning. IEEE Big Data 2022: 4560-4567 - [c14]John Martinsson, Martin Willbo, Aleksis Pirinen, Olof Mogren, Maria Sandsten:
Few-Shot Bioacoustic Event Detection Using an Event-Length Adapted Ensemble of Prototypical Networks. DCASE 2022 - [c13]Edvin Listo Zec, Ebba Ekblom, Martin Willbo, Olof Mogren, Sarunas Girdzijauskas:
Decentralized Adaptive Clustering of Deep Nets is Beneficial for Client Collaboration. FL@IJCAI 2022: 59-71 - [i9]Edvin Listo Zec, Ebba Ekblom, Martin Willbo, Olof Mogren, Sarunas Girdzijauskas:
Decentralized adaptive clustering of deep nets is beneficial for client collaboration. CoRR abs/2206.08839 (2022) - [i8]Ebba Ekblom, Edvin Listo Zec, Olof Mogren:
EFFGAN: Ensembles of fine-tuned federated GANs. CoRR abs/2206.11682 (2022) - 2021
- [c12]John Martinsson, Edvin Listo Zec, Daniel Gillblad
, Olof Mogren:
Adversarial representation learning for synthetic replacement of private attributes. IEEE BigData 2021: 1291-1299 - [c11]Agrin Hilmkil, Sebastian Callh, Matteo Barbieri, Leon René Sütfeld, Edvin Listo Zec, Olof Mogren:
Scaling Federated Learning for Fine-Tuning of Large Language Models. NLDB 2021: 15-23 - [i7]Agrin Hilmkil, Sebastian Callh, Matteo Barbieri, Leon René Sütfeld, Edvin Listo Zec, Olof Mogren:
Scaling Federated Learning for Fine-tuning of Large Language Models. CoRR abs/2102.00875 (2021) - [i6]Noa Onoszko, Gustav Karlsson, Olof Mogren, Edvin Listo Zec:
Decentralized federated learning of deep neural networks on non-iid data. CoRR abs/2107.08517 (2021) - 2020
- [j3]John Martinsson, Alexander Schliep, Björn Eliasson, Olof Mogren:
Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks. J. Heal. Informatics Res. 4(1): 1-18 (2020) - [i5]John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren:
Adversarial representation learning for synthetic replacement of private attributes. CoRR abs/2006.08039 (2020) - [i4]David Ericsson, Adam Östberg, Edvin Listo Zec, John Martinsson, Olof Mogren:
Adversarial representation learning for private speech generation. CoRR abs/2006.09114 (2020) - [i3]Edvin Listo Zec, Olof Mogren, John Martinsson, Leon René Sütfeld, Daniel Gillblad:
Federated learning using a mixture of experts. CoRR abs/2010.02056 (2020)
2010 – 2019
- 2019
- [c10]John Martinsson, Olof Mogren:
Semantic Segmentation of Fashion Images Using Feature Pyramid Networks. ICCV Workshops 2019: 3133-3136 - [c9]Marie Korneliusson, John Martinsson, Olof Mogren:
Generative Modelling of Semantic Segmentation Data in the Fashion Domain. ICCV Workshops 2019: 3169-3172 - 2018
- [c8]John Martinsson, Alexander Schliep, Björn Eliasson, Christian Meijner, Simon Persson, Olof Mogren:
Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks. KDH@IJCAI 2018: 64-68 - 2017
- [c7]Olof Mogren, Richard Johansson:
Character-based recurrent neural networks for morphological relational reasoning. SWCN@EMNLP 2017: 57-63 - 2016
- [c6]Simon Almgren, Sean Pavlov, Olof Mogren:
Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMs. BioTxtM@COLING 2016 2016: 30-39 - [c5]Jacob Hagstedt P. Suorra, Olof Mogren:
Assisting Discussion Forum Users using Deep Recurrent Neural Networks. Rep4NLP@ACL 2016: 53-61 - [c4]Azam Sheikh Muhammad, Peter Damaschke, Olof Mogren:
Summarizing Online User Reviews Using Bicliques. SOFSEM 2016: 569-579 - [i2]Olof Mogren:
C-RNN-GAN: Continuous recurrent neural networks with adversarial training. CoRR abs/1611.09904 (2016) - 2015
- [j2]Nina Tahmasebi, Lars Borin, Gabriele Capannini, Devdatt P. Dubhashi, Peter Exner, Markus Forsberg, Gerhard Gossen, Fredrik D. Johansson, Richard Johansson, Mikael Kågebäck, Olof Mogren, Pierre Nugues, Thomas Risse:
Visions and open challenges for a knowledge-based culturomics. Int. J. Digit. Libr. 15(2-4): 169-187 (2015) - [c3]Olof Mogren, Mikael Kågebäck, Devdatt P. Dubhashi:
Extractive Summarization by Aggregating Multiple Similarities. RANLP 2015: 451-457 - 2014
- [j1]Peter Damaschke, Olof Mogren:
Editing Simple Graphs. J. Graph Algorithms Appl. 18(4): 557-576 (2014) - [c2]Mikael Kågebäck, Olof Mogren, Nina Tahmasebi, Devdatt P. Dubhashi:
Extractive Summarization using Continuous Vector Space Models. CVSC@EACL 2014: 31-39 - [c1]Peter Damaschke, Olof Mogren:
Editing the Simplest Graphs. WALCOM 2014: 249-260
2000 – 2009
- 2008
- [i1]Olof Mogren, Oskar Sandberg, Vilhelm Verendel, Devdatt P. Dubhashi:
Adaptive Dynamics of Realistic Small-World Networks. CoRR abs/0804.1115 (2008)
Coauthor Index
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last updated on 2025-04-14 01:38 CEST by the dblp team
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