Olof Mogren - RankMe

42 papers B 4C 1Misc 1Journal 22Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Aggregation Strategies for Efficient Annotation of Bioacoustic Sound Events Using Active Learning. EUSIPCO Richard Lindholm, Oscar Marklund, Olof Mogren, John Martinsson
2025	J	`jnl`	Aggregation Strategies for Efficient Annotation of Bioacoustic Sound Events Using Active Learning. CoRR Richard Lindholm, Oscar Marklund, Olof Mogren, John Martinsson
2025	J	`jnl`	The Accuracy Cost of Weakness: A Theoretical Analysis of Fixed-Segment Weak Labeling for Events in Time. CoRR John Martinsson, Olof Mogren, Tuomas Virtanen, Maria Sandsten
2025	J	`jnl`	The Accuracy Cost of Weakness: A Theoretical Analysis of Fixed-Segment Weak Labeling for Events in Time. Trans. Mach. Learn. Res. John Martinsson, Tuomas Virtanen, Maria Sandsten, Olof Mogren
2024	—	`conf`	Efficient Node Selection in Private Personalized Decentralized Learning. NLDL Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad
2024	J	`jnl`	Flexible SE(2) graph neural networks with applications to PDE surrogates. CoRR Maria Bånkestad, Olof Mogren, Aleksis Pirinen
2024	—	`conf`	From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning. EUSIPCO John Martinsson, Olof Mogren, Maria Sandsten, Tuomas Virtanen
2024	J	`jnl`	From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning. CoRR John Martinsson, Olof Mogren, Maria Sandsten, Tuomas Virtanen
2024	J	`jnl`	Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning. CoRR Martin Willbo, Aleksis Pirinen, John Martinsson, Edvin Listo Zec, Olof Mogren, Mikael Nilsson
2023	J	`jnl`	Concept-aware clustering for decentralized deep learning under temporal shift. CoRR Marcus Toftås, Emilie Klefbom, Edvin Listo Zec, Martin Willbo, Olof Mogren
2023	—	`conf`	Fully Convolutional Networks for Dense Water Flow Intensity Prediction in Swedish Catchment Areas. SAIS Aleksis Pirinen, Olof Mogren, Mårten Västerdal
2023	J	`jnl`	Fully Convolutional Networks for Dense Water Flow Intensity Prediction in Swedish Catchment Areas. CoRR Aleksis Pirinen, Olof Mogren, Mårten Västerdal
2023	J	`jnl`	Grammatical gender in Swedish is predictable using recurrent neural networks. CoRR Edvin Listo Zec, Olof Mogren
2023	J	`jnl`	Private Node Selection in Personalized Decentralized Learning. CoRR Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad
2022	—	`conf`	Decentralized Adaptive Clustering of Deep Nets is Beneficial for Client Collaboration. FL@IJCAI Edvin Listo Zec, Ebba Ekblom, Martin Willbo, Olof Mogren, Sarunas Girdzijauskas
2022	J	`jnl`	Decentralized adaptive clustering of deep nets is beneficial for client collaboration. CoRR Edvin Listo Zec, Ebba Ekblom, Martin Willbo, Olof Mogren, Sarunas Girdzijauskas
2022	B	`conf`	EFFGAN: Ensembles of fine-tuned federated GANs. IEEE Big Data Ebba Ekblom, Edvin Listo Zec, Olof Mogren
2022	J	`jnl`	EFFGAN: Ensembles of fine-tuned federated GANs. CoRR Ebba Ekblom, Edvin Listo Zec, Olof Mogren
2022	—	`conf`	Few-Shot Bioacoustic Event Detection Using an Event-Length Adapted Ensemble of Prototypical Networks. DCASE John Martinsson, Martin Willbo, Aleksis Pirinen, Olof Mogren, Maria Sandsten
2022	B	`conf`	Residual value prediction using deep learning. IEEE Big Data Edvin Listo Zec, Olof Mogren, Ann-Charlotte Mellquist, Sarah Fallahi, Peter Algurén
2021	—	`conf`	Adversarial representation learning for synthetic replacement of private attributes. IEEE BigData John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren
2021	J	`jnl`	Decentralized federated learning of deep neural networks on non-iid data. CoRR Noa Onoszko, Gustav Karlsson, Olof Mogren, Edvin Listo Zec
2021	C	`conf`	Scaling Federated Learning for Fine-Tuning of Large Language Models. NLDB Agrin Hilmkil, Sebastian Callh, Matteo Barbieri, Leon René Sütfeld, Edvin Listo Zec, Olof Mogren
2021	J	`jnl`	Scaling Federated Learning for Fine-tuning of Large Language Models. CoRR Agrin Hilmkil, Sebastian Callh, Matteo Barbieri, Leon René Sütfeld, Edvin Listo Zec, Olof Mogren
2020	J	`jnl`	Adversarial representation learning for private speech generation. CoRR David Ericsson, Adam Östberg, Edvin Listo Zec, John Martinsson, Olof Mogren
2020	J	`jnl`	Adversarial representation learning for synthetic replacement of private attributes. CoRR John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren
2020	J	`jnl`	Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks. J. Heal. Informatics Res. John Martinsson, Alexander Schliep, Björn Eliasson, Olof Mogren
2020	J	`jnl`	Federated learning using a mixture of experts. CoRR Edvin Listo Zec, Olof Mogren, John Martinsson, Leon René Sütfeld, Daniel Gillblad
2019	—	`conf`	Generative Modelling of Semantic Segmentation Data in the Fashion Domain. ICCV Workshops Marie Korneliusson, John Martinsson, Olof Mogren
2019	—	`conf`	Semantic Segmentation of Fashion Images Using Feature Pyramid Networks. ICCV Workshops John Martinsson, Olof Mogren
2018	—	`conf`	Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks. KDH@IJCAI John Martinsson, Alexander Schliep, Björn Eliasson, Christian Meijner, Simon Persson, Olof Mogren
2017	—	`conf`	Character-based recurrent neural networks for morphological relational reasoning. SWCN@EMNLP Olof Mogren, Richard Johansson
2016	—	`conf`	Assisting Discussion Forum Users using Deep Recurrent Neural Networks. Rep4NLP@ACL Jacob Hagstedt P. Suorra, Olof Mogren
2016	J	`jnl`	C-RNN-GAN: Continuous recurrent neural networks with adversarial training. CoRR Olof Mogren
2016	—	`conf`	Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMs. BioTxtM@COLING 2016 Simon Almgren, Sean Pavlov, Olof Mogren
2016	B	`conf`	Summarizing Online User Reviews Using Bicliques. SOFSEM Azam Sheikh Muhammad, Peter Damaschke, Olof Mogren
2015	Misc	`conf`	Extractive Summarization by Aggregating Multiple Similarities. RANLP Olof Mogren, Mikael Kågebäck, Devdatt P. Dubhashi
2015	J	`jnl`	Visions and open challenges for a knowledge-based culturomics. Int. J. Digit. Libr. 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
2014	J	`jnl`	Editing Simple Graphs. J. Graph Algorithms Appl. Peter Damaschke, Olof Mogren
2014	B	`conf`	Editing the Simplest Graphs. WALCOM Peter Damaschke, Olof Mogren
2014	—	`conf`	Extractive Summarization using Continuous Vector Space Models. CVSC@EACL Mikael Kågebäck, Olof Mogren, Nina Tahmasebi, Devdatt P. Dubhashi
2008	J	`jnl`	Adaptive Dynamics of Realistic Small-World Networks CoRR Olof Mogren, Oskar Sandberg, Vilhelm Verendel, Devdatt P. Dubhashi