List of works - Robert Jenssen

A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs

scientific article published on 3 November 2020

A scatter-based prototype framework and multi-class extension of support vector machines

scientific article

Cerebral blood flow measurements with <sup>15</sup>O-water PET using a non-invasive machine-learning-derived arterial input function

scientific article published in 2021

Data-driven Temporal Prediction of Surgical Site Infection

scientific article

Deep Kernelized Autoencoders

article

Deep divergence-based approach to clustering

scientific article published on 08 February 2019

Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm ⬇️

scientific article published in January 2007

Kernel entropy component analysis

scientific article published in May 2010

Learning representations of multivariate time series with missing data

scholarly article

Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data

scientific article published on 19 February 2019

Mean vector component analysis for visualization and clustering of nonnegative data

scientific article

Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks

scholarly article

Multiplex visibility graphs to investigate recurrent neural network dynamics ⬇️

scientific article

Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional

scientific article published on 05 August 2019

Noisy multi-label semi-supervised dimensionality reduction

scholarly article

Optimized Kernel Entropy Components

scientific article

Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods

scientific article

Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series

scientific article published on 29 June 2020

Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images

scientific article published in 2021

Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records.

scientific article published on 8 October 2014

The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space ⬇️

scientific article published in January 2005

The deep kernelized autoencoder

Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps

scientific article published on 20 November 2019

Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series

scientific article published on 07 December 2020

Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration

scientific article published on 13 February 2020

Urban Land Cover Classification With Missing Data Modalities Using Deep Convolutional Neural Networks

scholarly article published in June 2018

Using anchors from free text in electronic health records to diagnose postoperative delirium

scientific article published on 19 September 2017

List of works by Robert Jenssen

A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs

A scatter-based prototype framework and multi-class extension of support vector machines

Cerebral blood flow measurements with <sup>15</sup>O-water PET using a non-invasive machine-learning-derived arterial input function

Data-driven Temporal Prediction of Surgical Site Infection

Deep Kernelized Autoencoders

Deep divergence-based approach to clustering

Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm ⬇️

Kernel entropy component analysis

Learning representations of multivariate time series with missing data

Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data

Mean vector component analysis for visualization and clustering of nonnegative data

Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks

Multiplex visibility graphs to investigate recurrent neural network dynamics ⬇️

Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional

Noisy multi-label semi-supervised dimensionality reduction

Optimized Kernel Entropy Components

Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods

Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series

Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images

Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records.

The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space ⬇️

The deep kernelized autoencoder

Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps

Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series

Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration

Urban Land Cover Classification With Missing Data Modalities Using Deep Convolutional Neural Networks

Using anchors from free text in electronic health records to diagnose postoperative delirium