Robert Jenssen
Orcid: 0000-0002-7496-8474
According to our database1,
Robert Jenssen
authored at least 147 papers
between 2003 and 2024.
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Bibliography
2024
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Neural Networks, January, 2024
Pattern Recognit., 2024
IEEE Geosci. Remote. Sens. Lett., 2024
Expert Syst. Appl., 2024
Instruction-guided deidentification with synthetic test cases for Norwegian clinical text.
Proceedings of the Northern Lights Deep Learning Conference, 2024
Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement.
Medical Image Anal., October, 2023
IEEE Trans. Knowl. Data Eng., September, 2023
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy.
Entropy, June, 2023
<i>This</i> looks <i>More</i> Like <i>that</i>: Enhancing Self-Explaining Models by Prototypical Relevance Propagation.
Pattern Recognit., April, 2023
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making.
CoRR, 2023
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images.
Comput. Medical Imaging Graph., 2023
View it Like a Radiologist: Shifted Windows for Deep Learning Augmentation Of CT Images.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Clinically Relevant Features for Predicting the Severity of Surgical Site Infections.
IEEE J. Biomed. Health Informatics, 2022
Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2022
Mixing up contrastive learning: Self-supervised representation learning for time series.
Pattern Recognit. Lett., 2022
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels.
Medical Image Anal., 2022
Knowl. Based Syst., 2022
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck.
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Nordic Artificial Intelligence Research and Development, 2022
Demonstrating the Risk of Imbalanced Datasets in Chest X-Ray Image-Based Diagnostics by Prototypical Relevance Propagation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the Colour and Visual Computing Symposium 2022, 2022
2021
Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration.
IEEE Trans. Neural Networks Learn. Syst., 2021
Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series.
IEEE Trans. Neural Networks Learn. Syst., 2021
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series.
IEEE J. Biomed. Health Informatics, 2021
Time series cluster kernels to exploit informative missingness and incomplete label information.
Pattern Recognit., 2021
Mach. Learn., 2021
Expert Syst. Appl., 2021
Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI.
Expert Syst. Appl., 2021
Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks.
CoRR, 2021
This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation.
CoRR, 2021
On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit.
CoRR, 2021
Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective.
Proceedings of the 2021 Northern Lights Deep Learning Workshop, 2021
Towards Applicability: A Comparative Study on Non-Intrusive Load Monitoring Algorithms.
Proceedings of the IEEE International Conference on Consumer Electronics, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Geosci. Remote. Sens., 2020
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps.
Medical Image Anal., 2020
Knowl. Based Syst., 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020
A generic unfolding algorithm for manifolds estimated by local linear approximations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Pattern Recognit., 2019
Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels.
CoRR, 2019
Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data.
Comput. Math. Methods Medicine, 2019
Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images.
Proceedings of the Joint Urban Remote Sensing Event, 2019
Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Urban Land Cover Classification With Missing Data Modalities Using Deep Convolutional Neural Networks.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Time series cluster kernel for learning similarities between multivariate time series with missing data.
Pattern Recognit., 2018
CoRR, 2018
CoRR, 2018
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders.
CoRR, 2018
CoRR, 2018
An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples.
CoRR, 2018
Uncertainty Modeling and interpretability in Convolutional Neural Networks for Polyp Segmentation.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
Recurrent Neural Networks for Short-Term Load Forecasting - An Overview and Comparative Analysis
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-70337-4, 2017
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting.
CoRR, 2017
Cogn. Comput., 2017
Using anchors from free text in electronic health records to diagnose postoperative delirium.
Comput. Methods Programs Biomed., 2017
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017
Spectral Clustering Using PCKID - A Probabilistic Cluster Kernel for Incomplete Data.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Urban land cover classification with missing data using deep convolutional neural networks.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records.
IEEE J. Biomed. Health Informatics, 2016
Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods.
J. Biomed. Informatics, 2016
CoRR, 2016
Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
Information Theoretic Clustering using a k-Nearest Neighbors-based Divergence Measure.
Proceedings of the Handbook of Pattern Recognition and Computer Vision, 5th Ed., 2016
2015
Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Proceedings of the AMIA 2015, 2015
2014
Pattern Recognit., 2014
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
2013
IEEE Trans. Neural Networks Learn. Syst., 2013
Entropy-Relevant Dimensions in the Kernel Feature Space: Cluster-Capturing Dimensionality Reduction.
IEEE Signal Process. Mag., 2013
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Mean vector component analysis: A new approach to un-centered PCA for non-negative data.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
2012
Mixture weight influence on kernel entropy component analysis and semi-supervised learning using the Lasso.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
2011
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
2010
Proceedings of the Information Theoretic Learning, 2010
Proceedings of the Information Theoretic Learning, 2010
2009
Proceedings of the Image Analysis, 16th Scandinavian Conference, 2009
2008
Neurocomputing, 2008
2007
Pattern Recognit., 2007
2006
J. VLSI Signal Process., 2006
Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing.
J. VLSI Signal Process., 2006
Spectral feature projections that maximize Shannon mutual information with class labels.
Pattern Recognit., 2006
The Cauchy-Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels.
J. Frankl. Inst., 2006
Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005
2004
The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
2003
Proceedings of the NNSP 2003, 2003
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003