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Computer Science

D-Index
37
Citations
6544
World Ranking
10665
National Ranking
34

Overview

Robert Jenssen is affiliated with the University of Tromsø - The Arctic University of Norway. Their research primarily focuses on computer science, with an emphasis on artificial intelligence, computer vision and pattern recognition, radiology, nuclear medicine and imaging, signal processing, and media technology.

Their work spans multiple topics, including:

  • Machine Learning in Healthcare
  • Radiomics and Machine Learning in Medical Imaging
  • Domain Adaptation and Few-Shot Learning
  • Time Series Analysis and Forecasting
  • Advanced Neural Network Applications
  • Explainable Artificial Intelligence (XAI)
  • Remote-Sensing Image Classification

Robert Jenssen has contributed to several recent research papers, including:

  • Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • Dense Dilated Convolutions' Merging Network for Land Cover Classification, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images, 2022, IEEE Transactions on Neural Networks and Learning Systems
  • Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels, 2022, Medical Image Analysis
  • Mixing up contrastive learning: Self-supervised representation learning for time series, 2022, Pattern Recognition Letters

Frequent coauthors collaborating with Jenssen include:

  • Michael Kampffmeyer
  • Kristoffer Wickstrøm
  • Karl Øyvind Mikalsen
  • Shujian Yu
  • Sigurd Løkse

Their research has been published in leading venues, with multiple contributions to:

  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems
  • Pattern Recognition
  • Expert Systems with Applications
  • IEEE Transactions on Geoscience and Remote Sensing

Best Publications

  • Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks

    Michael Kampffmeyer;Arnt-Borre Salberg;Robert Jenssen

  • Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning

    Van Nhan Nguyen;Robert Jenssen;Davide Roverso

  • Kernel Entropy Component Analysis

    R. Jenssen

  • An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting

    Filippo Maria Bianchi;Enrico Maiorino;Michael C. Kampffmeyer;Antonello Rizzi

  • Recurrent Neural Networks for Short-Term Load Forecasting

    Filippo Maria Bianchi;Enrico Maiorino;Michael C. Kampffmeyer;Antonello Rizzi

  • Intelligent Monitoring and Inspection of Power Line Components Powered by UAVs and Deep Learning

    Van Nhan Nguyen;Robert Jenssen;Davide Roverso

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

    Kristoffer Wickstrøm;Michael Kampffmeyer;Robert Jenssen

  • Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection

    Luigi Tommaso Luppino;Michael Kampffmeyer;Filippo Maria Bianchi;Gabriele Moser

  • Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels

    Unknown

  • Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection.

    Luigi Tommaso Luppino;Michael Kampffmeyer;Filippo Maria Bianchi;Gabriele Moser

  • The Cauchy–Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels

    Robert Jenssen;Jose C. Principe;Deniz Erdogmus;Torbjørn Eltoft

  • Clustering using Renyi's entropy

    R. Jenssen;K.E. Hild;D. Erdogmus;J.C. Principe

  • Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images.

    Luigi Tommaso Luppino;Mads A. Hansen;Michael Kampffmeyer;Filippo Maria Bianchi

  • Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series

    Filippo Maria Bianchi;Simone Scardapane;Sigurd Lokse;Robert Jenssen

  • Dense Dilated Convolutions’ Merging Network for Land Cover Classification

    Qinghui Liu;Michael Kampffmeyer;Robert Jenssen;Arnt-Borre Salberg

  • Time series cluster kernel for learning similarities between multivariate time series with missing data

    Karl Øyvind Mikalsen;Filippo Maria Bianchi;Cristina Soguero-Ruiz;Robert Jenssen

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

    Cristina Soguero-Ruiz;Kristian Hindberg;Jose Luis Rojo-Alvarez;Stein Olav Skrovseth

  • Spectral Clustering of Polarimetric SAR Data with the Wishart-Derived Distance Measures

    Stian Normann Anfinsen;Robert Jenssen;Torbjørn Eltoft

  • Reconsidering Representation Alignment for Multi-view Clustering

    Daniel J. Trosten;Sigurd Lokse;Robert Jenssen;Michael Kampffmeyer

  • Independent component analysis for texture segmentation

    Robert Jenssen;Torbjørn Eltoft

  • Mean shift spectral clustering

    Umut Ozertem;Deniz Erdogmus;Robert Jenssen

  • Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods

    Cristina Soguero-Ruiz;Kristian Hindberg;Inmaculada Mora-Jiménez;José Luis Rojo-Álvarez

  • UNCERTAINTY MODELING AND INTERPRETABILITY IN CONVOLUTIONAL NEURAL NETWORKS FOR POLYP SEGMENTATION

    Kristoffer Wickstrom;Michael Kampffmeyer;Robert Jenssen

  • Proceedings of the 16th Scandinavian Conference on Image Analysis

    Arnt-Børre Salberg;Jon Yngve Hardeberg;Robert Jenssen

Frequent Co-Authors

Deniz Erdogmus
Deniz Erdogmus Northeastern University
Gabriele Moser
Gabriele Moser University of Genoa
Gustau Camps-Valls
Gustau Camps-Valls University of Valencia
Sebastiano B. Serpico
Sebastiano B. Serpico University of Genoa
Alexander G. Schwing
Alexander G. Schwing University of Illinois at Urbana-Champaign
Luis Gómez-Chova
Luis Gómez-Chova University of Valencia
Cesare Alippi
Cesare Alippi Polytechnic University of Milan
Marius Kloft
Marius Kloft Technical University of Kaiserslautern
Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Yunchao Wei
Yunchao Wei Beijing Jiaotong University

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