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Robert Jenssen

Showing results (1-10 of 29) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Mean vector component analysis for visualization and clustering of nonnegative dataRobert Jenssen
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 20, 2010
Kernel entropy component analysisRobert Jenssen
Medical Image Analysis|December 7, 2019
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polypsKristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen
Medical Image Analysis|March 10, 2022
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxelsStine Hansen, Srishti Gautam, Robert Jenssen, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 20, 2020
Understanding Convolutional Neural Networks With Information Theory: An Initial ExplorationShujian Yu, Kristoffer Wickstrom, Robert Jenssen, et al.
Scientific Reports|March 11, 2017
Multiplex visibility graphs to investigate recurrent neural network dynamicsFilippo Maria Bianchi, Lorenzo Livi, Cesare Alippi, et al.
Neural Networks : the Official Journal of the International Neural Network Society|November 6, 2023
Discriminative multimodal learning via conditional priors in generative modelsRogelio A Mancisidor, Michael Kampffmeyer, Kjersti Aas, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 30, 2020
Reservoir Computing Approaches for Representation and Classification of Multivariate Time SeriesFilippo Maria Bianchi, Simone Scardapane, Sigurd Lokse, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 13, 2024
BrainIB: Interpretable Brain Network-Based Psychiatric Diagnosis With Graph Information BottleneckKaizhong Zheng, Shujian Yu, Baojuan Li, et al.
Medical Image Analysis|August 4, 2023
ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinementStine Hansen, Srishti Gautam, Suaiba Amina Salahuddin, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Mean vector component analysis for visualization and clustering of nonnegative dataRobert Jenssen
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 20, 2010
Kernel entropy component analysisRobert Jenssen
Medical Image Analysis|December 7, 2019
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polypsKristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen
Medical Image Analysis|March 10, 2022
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxelsStine Hansen, Srishti Gautam, Robert Jenssen, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 20, 2020
Understanding Convolutional Neural Networks With Information Theory: An Initial ExplorationShujian Yu, Kristoffer Wickstrom, Robert Jenssen, et al.
Scientific Reports|March 11, 2017
Multiplex visibility graphs to investigate recurrent neural network dynamicsFilippo Maria Bianchi, Lorenzo Livi, Cesare Alippi, et al.
Neural Networks : the Official Journal of the International Neural Network Society|November 6, 2023
Discriminative multimodal learning via conditional priors in generative modelsRogelio A Mancisidor, Michael Kampffmeyer, Kjersti Aas, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 30, 2020
Reservoir Computing Approaches for Representation and Classification of Multivariate Time SeriesFilippo Maria Bianchi, Simone Scardapane, Sigurd Lokse, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 13, 2024
BrainIB: Interpretable Brain Network-Based Psychiatric Diagnosis With Graph Information BottleneckKaizhong Zheng, Shujian Yu, Baojuan Li, et al.
Medical Image Analysis|August 4, 2023
ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinementStine Hansen, Srishti Gautam, Suaiba Amina Salahuddin, et al.
Pageof 3