Olof Mogren
Olof Mogren
RISE Research institutes of Sweden
Verified email at - Homepage
Cited by
Cited by
C-RNN-GAN: Continuous recurrent neural networks with adversarial training
O Mogren
Constructive machine learning workshop (CML 2016), 2016
Extractive summarization using continuous vector space models
M Kågebäck, O Mogren, N Tahmasebi, D Dubhashi
Proceedings of the 2nd workshop on continuous vector space models and their …, 2014
Blood glucose prediction with variance estimation using recurrent neural networks
J Martinsson, A Schliep, B Eliasson, O Mogren
Journal of Healthcare Informatics Research 4, 1-18, 2020
Automatic blood glucose prediction with confidence using recurrent neural networks
J Martinsson, A Schliep, B Eliasson, C Meijner, S Persson, O Mogren
3rd International Workshop on Knowledge Discovery in Healthcare Data, KDH …, 2018
Extractive Summarization by Aggregating Multiple Similarities
O Mogren, M Kågebäck, D Dubhashi
Recent Advances in Natural Language Processing 2015, 451-457, 2015
Semantic segmentation of fashion images using feature pyramid networks
J Martinsson, O Mogren
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Visions and open challenges for a knowledge-based culturomics
N Tahmasebi, L Borin, G Capannini, D Dubhashi, P Exner, M Forsberg, ...
International Journal on Digital Libraries 15, 169-187, 2015
Decentralized federated learning of deep neural networks on non-iid data
N Onoszko, G Karlsson, O Mogren, EL Zec
arXiv preprint arXiv:2107.08517, 2021
Building a sentiment lexicon for Swedish
B Nusko, N Tahmasebi, O Mogren
Proceedings of the From Digitization to Knowledge workshop at DH, 32-37, 2016
Editing Simple Graphs
P Damaschke, O Mogren
Journal of Graph Algorithms and Applications 18 (4), 557-576, 2014
C-RNN-GAN: Continuous recurrent neural networks with adversarial training. arXiv 2016
O Mogren
arXiv preprint arXiv:1611.09904, 0
Federated learning using mixture of experts
EL Zec, J Martinsson, O Mogren, LR Sütfeld, D Gillblad
Named entity recognition in swedish health records with character-based deep bidirectional lstms
S Almgren, S Pavlov, O Mogren
Proceedings of the Fifth Workshop on Building and Evaluating Resources for …, 2016
Adversarial representation learning for private speech generation
D Ericsson, A Östberg, EL Zec, J Martinsson, O Mogren
arXiv preprint arXiv:2006.09114, 2020
Scaling federated learning for fine-tuning of large language models
A Hilmkil, S Callh, M Barbieri, LR Sütfeld, EL Zec, O Mogren
International Conference on Applications of Natural Language to Information …, 2021
Adaptive dynamics of realistic small-world networks
O Mogren, O Sandberg, V Verendel, D Dubhashi
European Conference on Complex Systems, 2009
Adversarial representation learning for synthetic replacement of private attributes
J Martinsson, EL Zec, D Gillblad, O Mogren
2021 IEEE International Conference on Big Data (Big Data), 1291-1299, 2021
Summarizing Online User Reviews Using Bicliques
AS Muhammad, P Damaschke, O Mogren
42nd International Conference on Current Trends in Theory and Practice of …, 2016
Financing solutions for circular business models: Exploring the role of business ecosystems and artificial intelligence
S Fallahi, AC Mellquist, O Mogren, E Listo Zec, P Algurén, L Hallquist
Business Strategy and the Environment, 2022
Decentralized adaptive clustering of deep nets is beneficial for client collaboration
EL Zec, E Ekblom, M Willbo, O Mogren, S Girdzijauskas
International Workshop on Trustworthy Federated Learning, 59-71, 2022
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