Robert Jenssen

Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy

Wickstrøm, Kristoffer; Løkse, Sigurd Eivindson; Kampffmeyer, Michael; Yu, Shujian; Príncipe, José C.; Jenssen, Robert

Supercm: Revisiting Clustering for Semi-Supervised Learning

Singh, Durgesh Kumar; Boubekki, Ahcene; Jenssen, Robert; Kampffmeyer, Michael

Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings

Trosten, Daniel Johansen; Chakraborty, Rwiddhi; Løkse, Sigurd Eivindson; Wickstrøm, Kristoffer; Jenssen, Robert; Kampffmeyer, Michael

The Kernelized Taylor Diagram

Johnson, Juan Emmanuel; Løkse, Sigurd Eivindson; Camps-Valls, Gustau; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert

Deep Clustering with the Cauchy-Schwarz Divergence

Trosten, Daniel Johansen; Wickstrøm, Kristoffer; Yu, Shujian; Løkse, Sigurd Eivindson; Jenssen, Robert; Kampffmeyer, Michael

RELAX: Representation Learning Explainability

Trosten, Daniel Johansen; Løkse, Sigurd Eivindson; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert

Mixing up contrastive learning: Self-supervised representation learning for time series

Wickstrøm, Kristoffer; Kampffmeyer, Michael; Mikalsen, Karl Øyvind; Jenssen, Robert

A self-guided anomaly detection-inspired few-shot segmentation network

Hansen, Stine; Gautam, Srishti; Kampffmeyer, Michael; Jenssen, Robert

Explaining Marine Acoustic Target Classification in Multi-channel Echosounder Data using Self-attention Mask, Information-Bottleneck, and Mask Prior

Choi, Changkyu; Yu, Shujian; Kampffmeyer, Michael; Salberg, Arnt-Børre; Handegard, Nils Olav; Salahuddin, Suaiba Amina; Jenssen, Robert

A self-guided anomaly detection-inspired few-shot segmentation network

Salahuddin, Suaiba Amina; Hansen, Stine; Gautam, Srishti; Kampffmeyer, Michael; Jenssen, Robert

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

Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre

Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective

Trosten, Daniel Johansen; Jenssen, Robert; Kampffmeyer, Michael

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

Luppino, Luigi Tommaso; Kampffmeyer, Michael; Bianchi, Filippo Maria; Moser, Gabriele; Serpico, Sebastiano Bruno; Jenssen, Robert; Anfinsen, Stian Normann

Machine Learning + Marine Science: Critical Role of Partnerships in Norway

Handegard, Nils Olav; Eikvil, Line; Jenssen, Robert; Kampffmeyer, Michael; Salberg, Arnt Børre; Malde, Ketil

Norge er verdensledende på bildeanalyse med kunstig intelligens

Towards Explainable Representation Learning

Kampffmeyer, Michael; Jenssen, Robert; Mikalsen, Karl Øyvind; Løkse, Sigurd Eivindson

Clinically relevant features for predicting the severity of surgical site infections

Boubekki, Ahcene; Myhre, Jonas Nordhaug; Luppino, Luigi Tommaso; Mikalsen, Karl Øyvind; Revhaug, Arthur; Jenssen, Robert

Hvilken rolle kan kunstig intelligens ha i et kvinnehelseperspektiv?

Jenssen, Robert

Towards Explainable Representation Learning

Løkse, Sigurd Eivindson; Mikalsen, Karl Øyvind; Kampffmeyer, Michael; Jenssen, Robert

Self-Constructing Graph Convolutional Networks for Semantic Labeling

Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt-Børre

Dense dilated convolutions merging network for land cover classification

Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre

Deep generative models for reject inference in credit scoring

Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert

Learning latent representations of bank customers with the Variational Autoencoder

Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert

The 1st Agriculture-Vision Challenge: Methods and Results

Chiu, Mang Tik; Xingqiang, Xu; Wang, Kai; Hobbs, Jennifer; Hovakimyan, Naira; Huang, Thomas S.; Shi, Honghui; Wei, Yunchao; Huang, Zilong; Schwing, Alexander; Brunner, Robert; Dozier, Ivan; Dozier, Wyatt; Ghandilyan, Karen; Wilson, David; Park, Hyunseong; Kim, Junhee; Kim, Sungho; Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre; Barbosa, Alexandre; Trevisan, Rodrigo; Zhao, Bingchen; Yu, Shaozuo; Yang, Siwei; Wang, Yin; Sheng, Hao; Chen, Xiao; Su, Jingyi; Rajagopal, Ram; Ng, Andrew; Huynh, Van Thong; Kim, Soo-Hyung; Na, In-Seop; Baid, Ujjwal; Innani, Shubham; Dutande, Prasad; Baheti, Bhakti; Talbar, Sanjay; Tang, Jianyu

Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration

Yu, Shujian; Wickstrøm, Kristoffer Knutsen; Jenssen, Robert; Principe, Jose

Learning latent representations of bank customers with the Variational Autoencoder

Andrade Mancisidor, Rogelio; Kampffmeyer, Michael; Aas, Kjersti; Jenssen, Robert

DDCM Network for Semantic Mapping of Remote Sensing Images

Liu, Qinghui; Kampffmeyer, Michael C.; Jenssen, Robert; Salberg, Arnt Børre

Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network

Liu, Qinghui; Kampffmeyer, Michael; Jenssen, Robert; Salberg, Arnt Børre

Deep divergence-based approach to clustering

Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Livi, Lorenzo; Salberg, Arnt Børre; Jenssen, Robert

A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images

Liu, Qinghui; Salberg, Arnt Børre; Jenssen, Robert

Urban land cover classification with missing data modalities using deep convolutional neural networks

Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert

Urban land cover classification with missing data using deep convolutional neural networks

Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert

Spectral clustering using PCKID ? A probabilistic cluster kernel for incomplete data

Løkse, Sigurd; Bianchi, Filippo Maria; Salberg, Arnt Børre; Jenssen, Robert

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

Kampffmeyer, Michael C.; Salberg, Arnt-Børre; Jenssen, Robert

Semantic Segmentation of Small Objects and Uncertainty in Urban Remote Sensing Images Using CNNs

Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert

Land-cover classification of partly missing data using support vector machines

Salberg, Arnt Børre; Jenssen, Robert

Image Analysis, 16th Scandinavian Conference Proceedings (SCIA), Oslo, Norway, June 2009, Springer Verlag Lecture Notes in Computer Science, LNCS 5575

Salberg, Arnt-Børre; Hardeberg, Jon Yngve; Jenssen, Robert