Robert Jenssen

225 papers A* 10A 1B 8C 7Misc 6Journal 139Unranked 48

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SuperCM: Improving semi-supervised learning and domain adaptation through differentiable clustering. Pattern Recognit. Durgesh Kumar Singh, Ahcène Boubekki, Robert Jenssen, Michael Kampffmeyer
2025	J	`jnl`	A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [ CoRR Christian Salomonsen, Luigi Tommaso Luppino, Fredrik Aspheim, Kristoffer Wickstrøm, Elisabeth Wetzer, Michael Kampffmeyer, Rodrigo Berzaghi, Rune Sundset, Robert Jenssen, Samuel Kuttner
2025	A*	`conf`	Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders. ICML Rogelio Andrade Mancisidor, Robert Jenssen, Shujian Yu, Michael Kampffmeyer
2025	J	`jnl`	Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders. CoRR Rogelio Andrade Mancisidor, Robert Jenssen, Shujian Yu, Michael Kampffmeyer
2025	—	`conf`	Assessing the Efficacy of Multi-task Learning in Mammographic Density Classification: A Study on Class Imbalance and Model Performance. SCIA (2) Suaiba Amina Salahuddin, Elisabeth Wetzer, Kristoffer Wickstrøm, Solveig Thrun, Michael Kampffmeyer, Robert Jenssen
2025	J	`jnl`	BrainIB: Interpretable Brain Network-Based Psychiatric Diagnosis With Graph Information Bottleneck. IEEE Trans. Neural Networks Learn. Syst. Kaizhong Zheng, Shujian Yu, Baojuan Li, Robert Jenssen, Badong Chen
2025	J	`jnl`	EnLVAM: Enhanced Left Ventricle Linear Measurements Utilizing Anatomical Motion Mode. CoRR Durgesh Singh, Ahcene Boubekki, Qing Cao, Svein Arne Aase, Robert Jenssen, Michael Kampffmeyer
2025	—	`conf`	FLEXtime: Filterbank Learning to Explain Time Series. xAI (4) Thea Brüsch, Kristoffer Knutsen Wickstrøm, Mikkel N. Schmidt, Robert Jenssen, Tommy Sonne Alstrøm
2025	J	`jnl`	Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN. CoRR Christian Salomonsen, Samuel Kuttner, Michael Kampffmeyer, Robert Jenssen, Kristoffer Wickstrøm, Jong Chul Ye, Elisabeth Wetzer
2025	—	`conf`	FreqRISE: Explaining time series using frequency masking. NLDL Thea Brüsch, Kristoffer Knutsen Wickstrøm, Mikkel N. Schmidt, Tommy Sonne Alstrøm, Robert Jenssen
2025	—	`conf`	From Colors to Classes: Emergence of Concepts in Vision Transformers. xAI (1) Teresa Dorszewski, Lenka Tetková, Robert Jenssen, Lars Kai Hansen, Kristoffer Knutsen Wickstrøm
2025	J	`jnl`	From Colors to Classes: Emergence of Concepts in Vision Transformers. CoRR Teresa Dorszewski, Lenka Tetková, Robert Jenssen, Lars Kai Hansen, Kristoffer Knutsen Wickstrøm
2025	J	`jnl`	Generalized Cauchy-Schwarz divergence: Efficient estimation and applications in deep learning. Neurocomputing Mingfei Lu, Shujian Yu, Robert Jenssen, Badong Chen
2025	J	`jnl`	Guest Editorial: Special Issue on Information Theoretic Methods for the Generalization, Robustness, and Interpretability of Machine Learning. IEEE Trans. Neural Networks Learn. Syst. Badong Chen, Shujian Yu, Robert Jenssen, José C. Príncipe, Klaus-Robert Müller
2025	—	`conf`	Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting. NLDL Lars Uebbing, Harald L. Joakimsen, Luigi Tommaso Luppino, Iver Martinsen, Andrew McDonald, Kristoffer Knutsen Wickstrøm, Sébastien Lefèvre, Arnt-Børre Salberg, Scott Hosking, Robert Jenssen
2025	J	`jnl`	Keypoint Counting Classifiers: Turning Vision Transformers into Self-Explainable Models Without Training. CoRR Kristoffer Wickstrøm, Teresa Dorszewski, Siyan Chen, Michael Kampffmeyer, Elisabeth Wetzer, Robert Jenssen
2025	—	`conf`	Leveraging Foundation Model Adapters to Enable Robust and Semantic Underwater Exploration. NAIS Changkyu Choi, Arangan Subramaniam, Nils Olav Handegard, Ali Ramezani-Kebrya, Robert Jenssen
2025	J	`jnl`	Mammo-CLIP Dissect: A Framework for Analysing Mammography Concepts in Vision-Language Models. CoRR Suaiba Amina Salahuddin, Teresa Dorszewski, Marit Almenning Martiniussen, Tone Hovda, Antonio Portaluri, Solveig Thrun, Michael Kampffmeyer, Elisabeth Wetzer, Kristoffer Wickstrøm, Robert Jenssen
2025	—	`conf`	NEMt: Fast Targeted Explanations for Medical Image Models via Neural Explanation Masks. NLDL Bjørn Leth Møller, Sepideh Amiri, Christian Igel, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Matthias Keicher, Mohammad Farid Azampour, Nassir Navab, Bulat Ibragimov
2025	J	`jnl`	Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish. CoRR Ashenafi Zebene Woldaregay, Jørgen Aarmo Lund, Phuong Dinh Ngo, Mariyam Tayefi, Per Joel Burman, Stine Hansen, Martin Hylleholt Sillesen, Hercules Dalianis, Robert Jenssen, Lindsetmo Rolf Ole, Karl Øyvind Mikalsen
2025	—	`ed.`	Proceedings of the Symposium of the Norwegian AI Society 2025, Tromsø, Norway, June 17-18, 2025. NAIS Robert Jenssen, Kerstin Bach
2025	A*	`conf`	REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability. AAAI Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer, Robert Jenssen
2025	J	`jnl`	Random Window Augmentations for Deep Learning Robustness in CT and Liver Tumor Segmentation. CoRR Eirik Agnalt Østmo, Kristoffer K. Wickstrøm, Keyur Radiya, Michael C. Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
2025	—	`conf`	Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction. MICCAI (2) Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Kristoffer Wickstrøm, Elisabeth Wetzer, Robert Jenssen, Maik Stille, Michael Kampffmeyer
2025	J	`jnl`	Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction. CoRR Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Kristoffer Wickstrøm, Elisabeth Wetzer, Robert Jenssen, Maik Stille, Michael Kampffmeyer
2025	J	`jnl`	SuperCM: Improving Semi-Supervised Learning and Domain Adaptation through differentiable clustering. CoRR Durgesh Singh, Ahcène Boubekki, Robert Jenssen, Michael Kampffmeyer
2025	J	`jnl`	Supercm: Revisiting Clustering for Semi-Supervised Learning. CoRR Durgesh Singh, Ahcene Boubekki, Robert Jenssen, Michael C. Kampffmeyer
2025	J	`jnl`	The Conditional Cauchy-Schwarz Divergence With Applications to Time-Series Data and Sequential Decision Making. IEEE Trans. Pattern Anal. Mach. Intell. Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe
2025	J	`jnl`	The Impact of Longitudinal Mammogram Alignment on Breast Cancer Risk Assessment. CoRR Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Xin Wang, Kristoffer Wickstrøm, Elisabeth Wetzer, Robert Jenssen, Maik Stille, Michael Kampffmeyer
2025	—	`conf`	WiseLVAM: A Novel Framework For Left Ventricle Automatic Measurements. ASMUS@MICCAI Durgesh Kumar Singh, Qing Cao, Sarina Thomas, Ahcène Boubekki, Robert Jenssen, Michael Kampffmeyer
2025	J	`jnl`	WiseLVAM: A Novel Framework For Left Ventricle Automatic Measurements. CoRR Durgesh Kumar Singh, Qing Cao, Sarina Thomas, Ahcène Boubekki, Robert Jenssen, Michael Kampffmeyer
2024	A*	`conf`	Cauchy-Schwarz Divergence Information Bottleneck for Regression. ICLR Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, José C. Príncipe
2024	J	`jnl`	Cauchy-Schwarz Divergence Information Bottleneck for Regression. CoRR Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, José C. Príncipe
2024	J	`jnl`	Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images. IEEE Trans. Neural Networks Learn. Syst. Luigi Tommaso Luppino, Mads A. Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen, Stian Normann Anfinsen
2024	Misc	`conf`	DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning. ICASSP Changkyu Choi, Shujian Yu, Michael Kampffmeyer, Arnt-Børre Salberg, Nils Olav Handegard, Robert Jenssen
2024	J	`jnl`	Discriminative multimodal learning via conditional priors in generative models. Neural Networks Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
2024	J	`jnl`	Explaining time series models using frequency masking. CoRR Thea Brüsch, Kristoffer K. Wickstrøm, Mikkel N. Schmidt, Tommy S. Alstrøm, Robert Jenssen
2024	J	`jnl`	FLEXtime: Filterbank learning for explaining time series. CoRR Thea Brüsch, Kristoffer K. Wickstrøm, Mikkel N. Schmidt, Robert Jenssen, Tommy S. Alstrøm
2024	A*	`conf`	Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks. ICML Bjørn Leth Møller, Christian Igel, Kristoffer Knutsen Wickstrøm, Jon Sporring, Robert Jenssen, Bulat Ibragimov
2024	J	`jnl`	Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications. CoRR Mingfei Lu, Shujian Yu, Robert Jenssen, Badong Chen
2024	—	`conf`	Instruction-guided deidentification with synthetic test cases for Norwegian clinical text. NLDL Jørgen Aarmo Lund, Karl Øyvind Mikalsen, Per Joel Burman, Ashenafi Zebene Woldaregay, Robert Jenssen
2024	J	`jnl`	Interrogating Sea Ice Predictability With Gradients. IEEE Geosci. Remote. Sens. Lett. Harald L. Joakimsen, Iver Martinsen, Luigi Tommaso Luppino, Andrew McDonald, Scott Hosking, Robert Jenssen
2024	J	`jnl`	LSNetv2: Improving weakly supervised power line detection with bipartite matching. Expert Syst. Appl. Duy Khoi Tran, Van Nhan Nguyen, Davide Roverso, Robert Jenssen, Michael Kampffmeyer
2024	J	`jnl`	Leveraging tensor kernels to reduce objective function mismatch in deep clustering. Pattern Recognit. Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
2024	A*	`conf`	MAP IT to Visualize Representations. ICLR Robert Jenssen
2024	J	`jnl`	REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability. CoRR Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer, Robert Jenssen
2023	J	`jnl`	A clinically motivated self-supervised approach for content-based image retrieval of CT liver images. Comput. Medical Imaging Graph. Kristoffer Knutsen Wickstrøm, Eirik Agnalt Østmo, Keyur Radiya, Karl Øyvind Mikalsen, Michael Christian Kampffmeyer, Robert Jenssen
2023	J	`jnl`	ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement. Medical Image Anal. Stine Hansen, Srishti Gautam, Suaiba Amina Salahuddin, Michael Kampffmeyer, Robert Jenssen
2023	J	`jnl`	Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy. Entropy Kristoffer K. Wickstrøm, Sigurd Løkse, Michael C. Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen
2023	A*	`conf`	Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings. CVPR Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer
2023	J	`jnl`	Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings. CoRR Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer
2023	A*	`conf`	On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering. CVPR Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael C. Kampffmeyer
2023	J	`jnl`	On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering. CoRR Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael C. Kampffmeyer
2023	J	`jnl`	RELAX: Representation Learning Explainability. Int. J. Comput. Vis. Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Ahcène Boubekki, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
2023	J	`jnl`	Selective Imputation for Multivariate Time Series Datasets With Missing Values. IEEE Trans. Knowl. Data Eng. Ane Blázquez-García, Kristoffer Wickstrøm, Shujian Yu, Karl Øyvind Mikalsen, Ahcène Boubekki, Angel Conde, Usue Mori, Robert Jenssen, José Antonio Lozano
2023	Misc	`conf`	Supercm: Revisiting Clustering for Semi-Supervised Learning. ICASSP Durgesh Singh, Ahcène Boubekki, Robert Jenssen, Michael C. Kampffmeyer
2023	J	`jnl`	The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making. CoRR Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe
2023	—	`conf`	View it Like a Radiologist: Shifted Windows for Deep Learning Augmentation Of CT Images. MLSP Eirik Agnalt Østmo, Kristoffer K. Wickstrøm, Keyur Radiya, Michael C. Kampffmeyer, Robert Jenssen
2023	J	`jnl`	View it like a radiologist: Shifted windows for deep learning augmentation of CT images. CoRR Eirik Agnalt Østmo, Kristoffer K. Wickstrøm, Keyur Radiya, Michael C. Kampffmeyer, Robert Jenssen
2022	J	`jnl`	A clinically motivated self-supervised approach for content-based image retrieval of CT liver images. CoRR Kristoffer Knutsen Wickstrøm, Eirik Agnalt Østmo, Keyur Radiya, Karl Øyvind Mikalsen, Michael Christian Kampffmeyer, Robert Jenssen
2022	—	`conf`	A self-guided anomaly detection-inspired few-shot segmentation network. CVCS Suaiba Amina Salahuddin, Stine Hansen, Srishti Gautam, Michael Kampffmeyer, Robert Jenssen
2022	J	`jnl`	Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels. CoRR Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer
2022	J	`jnl`	Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels. Medical Image Anal. Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer
2022	—	`conf`	Attention-guided Temporal Convolutional Network for Non-intrusive Load Monitoring. SmartGridComm Huamin Ren, Xiaomeng Su, Robert Jenssen, Jingyue Li, Stian Normann Anfinsen
2022	J	`jnl`	BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck. CoRR Kaizhong Zheng, Shujian Yu, Baojuan Li, Robert Jenssen, Badong Chen
2022	J	`jnl`	Clinically Relevant Features for Predicting the Severity of Surgical Site Infections. IEEE J. Biomed. Health Informatics Ahcène Boubekki, Jonas Nordhaug Myhre, Luigi Tommaso Luppino, Karl Øyvind Mikalsen, Arthur Revhaug, Robert Jenssen
2022	J	`jnl`	Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection. IEEE Trans. Geosci. Remote. Sens. Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano Bruno Serpico, Robert Jenssen, Stian Normann Anfinsen
2022	J	`jnl`	Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation. CoRR Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
2022	—	`conf`	Demonstrating the Risk of Imbalanced Datasets in Chest X-Ray Image-Based Diagnostics by Prototypical Relevance Propagation. ISBI Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
2022	J	`jnl`	Generating customer's credit behavior with deep generative models. Knowl. Based Syst. Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
2022	J	`jnl`	Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series. CoRR Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
2022	J	`jnl`	Mixing up contrastive learning: Self-supervised representation learning for time series. Pattern Recognit. Lett. Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
2022	J	`jnl`	Principle of Relevant Information for Graph Sparsification. CoRR Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe
2022	A	`conf`	Principle of relevant information for graph sparsification. UAI Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe
2022	A*	`conf`	ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model. NeurIPS Srishti Gautam, Ahcène Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer
2022	J	`jnl`	ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model. CoRR Srishti Gautam, Ahcene Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer
2022	—	`conf`	The Kernelized Taylor Diagram. NAIS Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2022	J	`jnl`	The Kernelized Taylor Diagram. CoRR Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2021	J	`jnl`	Discriminative Multimodal Learning via Conditional Priors in Generative Models. CoRR Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
2021	J	`jnl`	Joint optimization of an autoencoder for clustering and embedding. Mach. Learn. Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen
2021	J	`jnl`	LS-Net: fast single-shot line-segment detector. Mach. Vis. Appl. Van Nhan Nguyen, Robert Jenssen, Davide Roverso
2021	J	`jnl`	Learning latent representations of bank customers with the Variational Autoencoder. Expert Syst. Appl. Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
2021	A*	`conf`	Measuring Dependence with Matrix-based Entropy Functional. AAAI Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe
2021	J	`jnl`	Measuring Dependence with Matrix-based Entropy Functional. CoRR Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe
2021	J	`jnl`	Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks. CoRR Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2021	J	`jnl`	On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit. CoRR Óscar Escudero-Arnanz, Joaquín Álvarez-Rodríguez, Karl Øyvind Mikalsen, Robert Jenssen, Cristina Soguero-Ruíz
2021	J	`jnl`	RELAX: Representation Learning Explainability. CoRR Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
2021	A*	`conf`	Reconsidering Representation Alignment for Multi-View Clustering. CVPR Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
2021	J	`jnl`	Reconsidering Representation Alignment for Multi-view Clustering. CoRR Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
2021	—	`conf`	Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective. NLDL Daniel J. Trosten, Robert Jenssen, Michael C. Kampffmeyer
2021	J	`jnl`	Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series. IEEE Trans. Neural Networks Learn. Syst. Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen
2021	J	`jnl`	This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation. CoRR Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
2021	J	`jnl`	Time series cluster kernels to exploit informative missingness and incomplete label information. Pattern Recognit. Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen
2021	C	`conf`	Towards Applicability: A Comparative Study on Non-Intrusive Load Monitoring Algorithms. ICCE Huamin Ren, Filippo Maria Bianchi, Jingyue Li, Rasmus L. Olsen, Robert Jenssen, Stian Normann Anfinsen
2021	J	`jnl`	Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. IEEE J. Biomed. Health Informatics Kristoffer Wickstrøm, Karl Øyvind Mikalsen, Michael Kampffmeyer, Arthur Revhaug, Robert Jenssen
2021	J	`jnl`	Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration. IEEE Trans. Neural Networks Learn. Syst. Shujian Yu, Kristoffer Wickstrøm, Robert Jenssen, José C. Príncipe
2021	J	`jnl`	Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI. Expert Syst. Appl. Stine Hansen, Samuel Kuttner, Michael Kampffmeyer, Tom-Vegard Markussen, Rune Sundset, Silje Kjærnes Øen, Live Eikenes, Robert Jenssen
2020	J	`jnl`	A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs. CoRR Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Robert Jenssen
2020	—	`conf`	A generic unfolding algorithm for manifolds estimated by local linear approximations. CVPR Workshops Jonas Nordhaug Myhre, Matineh Shaker, Mustafa Devrim Kaba, Robert Jenssen, Deniz Erdogmus
2020	J	`jnl`	Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images. CoRR Luigi Tommaso Luppino, Mads A. Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen, Stian Normann Anfinsen
2020	J	`jnl`	Deep Image Clustering with Tensor Kernels and Unsupervised Companion Objectives. CoRR Daniel J. Trosten, Michael C. Kampffmeyer, Robert Jenssen
2020	J	`jnl`	Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection. CoRR Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano Bruno Serpico, Robert Jenssen, Stian Normann Anfinsen
2020	J	`jnl`	Deep generative models for reject inference in credit scoring. Knowl. Based Syst. Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
2020	J	`jnl`	Dense Dilated Convolutions Merging Network for Land Cover Classification. CoRR Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2020	J	`jnl`	Dense Dilated Convolutions' Merging Network for Land Cover Classification. IEEE Trans. Geosci. Remote. Sens. Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2020	J	`jnl`	Joint Optimization of an Autoencoder for Clustering and Embedding. CoRR Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen
2020	—	`conf`	Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation. CVPR Workshops Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2020	J	`jnl`	Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation. CoRR Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2020	J	`jnl`	Multivariate Extension of Matrix-Based Rényi's $\alpha$α-Order Entropy Functional. IEEE Trans. Pattern Anal. Mach. Intell. Shujian Yu, Luis Gonzalo Sánchez Giraldo, Robert Jenssen, José C. Príncipe
2020	J	`jnl`	SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation. CoRR Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2020	—	`conf`	SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks. ECCV (23) Van Nhan Nguyen, Sigurd Løkse, Kristoffer Wickstrøm, Michael Kampffmeyer, Davide Roverso, Robert Jenssen
2020	C	`conf`	Self-Constructing Graph Convolutional Networks for Semantic Labeling. IGARSS Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2020	J	`jnl`	Self-Constructing Graph Convolutional Networks for Semantic Labeling. CoRR Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2020	—	`conf`	The 1st Agriculture-Vision Challenge: Methods and Results. CVPR Workshops Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang
2020	J	`jnl`	The 1st Agriculture-Vision Challenge: Methods and Results. CoRR Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang
2020	J	`jnl`	Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps. Medical Image Anal. Kristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen
2020	J	`jnl`	Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. CoRR Kristoffer Wickstrøm, Karl Øyvind Mikalsen, Michael Kampffmeyer, Arthur Revhaug, Robert Jenssen
2019	J	`jnl`	Deep Divergence-Based Approach to Clustering. CoRR Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
2019	J	`jnl`	Deep divergence-based approach to clustering. Neural Networks Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
2019	—	`conf`	Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. JURSE Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2019	J	`jnl`	Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. CoRR Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2019	J	`jnl`	Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels. CoRR Kristoffer Wickstrøm, Sigurd Løkse, Michael Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen
2019	J	`jnl`	LS-Net: Fast Single-Shot Line-Segment Detector. CoRR Van Nhan Nguyen, Robert Jenssen, Davide Roverso
2019	J	`jnl`	Learning Latent Representations of Bank Customers With The Variational Autoencoder. CoRR Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
2019	J	`jnl`	Learning representations of multivariate time series with missing data. Pattern Recognit. Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2019	J	`jnl`	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 Primoz Kocbek, Nino Fijacko, Cristina Soguero-Ruíz, Karl Øyvind Mikalsen, Uros Maver, Petra Povalej Brzan, Andraz Stozer, Robert Jenssen, Stein Olav Skrøvseth, Gregor Stiglic
2019	J	`jnl`	Noisy multi-label semi-supervised dimensionality reduction. CoRR Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Robert Jenssen
2019	J	`jnl`	Noisy multi-label semi-supervised dimensionality reduction. Pattern Recognit. Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Robert Jenssen
2019	Misc	`conf`	Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series. ICASSP Daniel J. Trosten, Andreas Storvik Strauman, Michael Kampffmeyer, Robert Jenssen
2019	J	`jnl`	Road Mapping In LiDAR Images Using A Joint-Task Dense Dilated Convolutions Merging Network. CoRR Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2019	C	`conf`	Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. IGARSS Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
2019	J	`jnl`	Time series cluster kernels to exploit informative missingness and incomplete label information. CoRR Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen
2018	C	`conf`	A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images. IGARSS Qinghui Liu, Arnt-Børre Salberg, Robert Jenssen
2018	J	`jnl`	An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples. CoRR Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen
2018	B	`conf`	Bidirectional deep-readout echo state networks. ESANN Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen
2018	—	`conf`	Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. BHI Andreas Storvik Strauman, Filippo Maria Bianchi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen
2018	B	`conf`	Learning compressed representations of blood samples time series with missing data. ESANN Filippo Maria Bianchi, Karl Øyvind Mikalsen, Robert Jenssen
2018	J	`jnl`	Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders. CoRR Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2018	J	`jnl`	Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional. CoRR Shujian Yu, Luis Gonzalo Sánchez Giraldo, Robert Jenssen, José C. Príncipe
2018	Misc	`conf`	Ranking Using Transition Probabilities Learned from Multi-Attribute Data. ICASSP Sigurd Løkse, Robert Jenssen
2018	J	`jnl`	Recurrent Deep Divergence-based Clustering for simultaneous feature learning and clustering of variable length time series. CoRR Daniel J. Trosten, Andreas Storvik Strauman, Michael Kampffmeyer, Robert Jenssen
2018	J	`jnl`	Reservoir computing approaches for representation and classification of multivariate time series. CoRR Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen
2018	J	`jnl`	Robust clustering using a kNN mode seeking ensemble. Pattern Recognit. Jonas Nordhaug Myhre, Karl Øyvind Mikalsen, Sigurd Løkse, Robert Jenssen
2018	J	`jnl`	Segment-Based Credit Scoring Using Latent Clusters in the Variational Autoencoder. CoRR Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
2018	J	`jnl`	The Deep Kernelized Autoencoder. CoRR Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2018	J	`jnl`	The deep kernelized autoencoder. Appl. Soft Comput. Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2018	J	`jnl`	Time series cluster kernel for learning similarities between multivariate time series with missing data. Pattern Recognit. Karl Øyvind Mikalsen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, Robert Jenssen
2018	—	`conf`	Towards deep anchor learning. BHI Mads A. Hansen, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen
2018	—	`conf`	Uncertainty Modeling and interpretability in Convolutional Neural Networks for Polyp Segmentation. MLSP Kristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen
2018	J	`jnl`	Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps. CoRR Kristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen
2018	J	`jnl`	Understanding Convolutional Neural Network Training with Information Theory. CoRR Shujian Yu, Robert Jenssen, José C. Príncipe
2018	J	`jnl`	Urban Land Cover Classification With Missing Data Modalities Using Deep Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Michael Kampffmeyer, Arnt-Børre Salberg, Robert Jenssen
2018	—	`conf`	Using multi-anchors to identify patients suffering from multimorbidities. BIBM Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez, Isabel Caballero-López-Fando, Robert Jenssen
2017	—	`conf`	A Clustering Approach to Heterogeneous Change Detection. SCIA (2) Luigi Tommaso Luppino, Stian Normann Anfinsen, Gabriele Moser, Robert Jenssen, Filippo Maria Bianchi, Sebastiano B. Serpico, Grégoire Mercier
2017	J	`jnl`	A clustering approach to heterogeneous change detection. CoRR Luigi Tommaso Luppino, Stian Normann Anfinsen, Gabriele Moser, Robert Jenssen, Filippo Maria Bianchi, Sebastiano B. Serpico, Grégoire Mercier
2017	J	`jnl`	An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting. CoRR Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen
2017	J	`jnl`	Bidirectional deep echo state networks. CoRR Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen
2017	J	`jnl`	Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. CoRR Andreas Storvik Strauman, Filippo Maria Bianchi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen
2017	B	`conf`	Critical echo state network dynamics by means of Fisher information maximization. IJCNN Filippo Maria Bianchi, Lorenzo Livi, Robert Jenssen, Cesare Alippi
2017	—	`conf`	Deep Kernelized Autoencoders. SCIA (1) Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2017	J	`jnl`	Deep Kernelized Autoencoders. CoRR Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2017	—	`conf`	Deep divergence-based clustering. MLSP Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
2017	Misc	`conf`	Density ridge manifold traversal. ICASSP Jonas Nordhaug Myhre, Michael Kampffmeyer, Robert Jenssen
2017	J	`jnl`	Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Katalin Blix, Gustau Camps-Valls, Robert Jenssen
2017	J	`jnl`	Learning compressed representations of blood samples time series with missing data. CoRR Filippo Maria Bianchi, Karl Øyvind Mikalsen, Robert Jenssen
2017	J	`jnl`	Optimized Kernel Entropy Components. IEEE Trans. Neural Networks Learn. Syst. Emma Izquierdo-Verdiguier, Valero Laparra, Robert Jenssen, Luis Gómez-Chova, Gustau Camps-Valls
2017	—	`book`	Recurrent Neural Networks for Short-Term Load Forecasting - An Overview and Comparative Analysis Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen
2017	—	`conf`	Spectral Clustering Using PCKID - A Probabilistic Cluster Kernel for Incomplete Data. SCIA (1) Sigurd Løkse, Filippo Maria Bianchi, Arnt-Børre Salberg, Robert Jenssen
2017	J	`jnl`	Temporal Overdrive Recurrent Neural Network. CoRR Filippo Maria Bianchi, Michael Kampffmeyer, Enrico Maiorino, Robert Jenssen
2017	B	`conf`	Temporal overdrive recurrent neural network. IJCNN Filippo Maria Bianchi, Michael Kampffmeyer, Enrico Maiorino, Robert Jenssen
2017	—	`conf`	The time series cluster kernel. MLSP Karl Øyvind Mikalsen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, Robert Jenssen
2017	J	`jnl`	Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data. CoRR Karl Øyvind Mikalsen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, Robert Jenssen
2017	J	`jnl`	Training Echo State Networks with Regularization Through Dimensionality Reduction. Cogn. Comput. Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen
2017	J	`jnl`	Urban Land Cover Classification with Missing Data Using Deep Convolutional Neural Networks. CoRR Michael Kampffmeyer, Arnt-Børre Salberg, Robert Jenssen
2017	C	`conf`	Urban land cover classification with missing data using deep convolutional neural networks. IGARSS Michael Kampffmeyer, Arnt-Børre Salberg, Robert Jenssen
2017	J	`jnl`	Using anchors from free text in electronic health records to diagnose postoperative delirium. Comput. Methods Programs Biomed. Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Kasper Jensen, Kristian Hindberg, Mads Gran, Arthur Revhaug, Rolv-Ole Lindsetmo, Stein Olav Skrøvseth, Fred Godtliebsen, Robert Jenssen
2016	—	`ch.`	Information Theoretic Clustering using a k-Nearest Neighbors-based Divergence Measure. Handbook of Pattern Recognition and Computer Vision Vidar V. Vikjord, Robert Jenssen
2016	J	`jnl`	Multiplex visibility graphs to investigate recurrent neural networks dynamics. CoRR Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi, Robert Jenssen
2016	J	`jnl`	Optimized Kernel Entropy Components. CoRR Emma Izquierdo-Verdiguier, Valero Laparra, Robert Jenssen, Luis Gómez-Chova, Gustau Camps-Valls
2016	J	`jnl`	Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods. J. Biomed. Informatics Cristina Soguero-Ruíz, Kristian Hindberg, Inmaculada Mora-Jiménez, José Luis Rojo-Álvarez, Stein Olav Skrøvseth, Fred Godtliebsen, Kim Mortensen, Arthur Revhaug, Rolv-Ole Lindsetmo, Knut Magne Augestad, Robert Jenssen
2016	—	`conf`	Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks. CVPR Workshops Michael Kampffmeyer, Arnt-Børre Salberg, Robert Jenssen
2016	J	`jnl`	Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records. IEEE J. Biomed. Health Informatics Cristina Soguero-Ruíz, Kristian Hindberg, José Luis Rojo-Álvarez, Stein Olav Skrøvseth, Fred Godtliebsen, Kim Mortensen, Arthur Revhaug, Rolv-Ole Lindsetmo, Knut Magne Augestad, Robert Jenssen
2016	J	`jnl`	Training Echo State Networks with Regularization through Dimensionality Reduction. CoRR Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen
2015	—	`conf`	Consensus Clustering Using kNN Mode Seeking. SCIA Jonas Nordhaug Myhre, Karl Øyvind Mikalsen, Sigurd Løkse, Robert Jenssen
2015	Misc	`conf`	Data-driven Temporal Prediction of Surgical Site Infection. AMIA Cristina Soguero-Ruíz, Fei Wang, Robert Jenssen, Knut Magne Augestad, José Luis Rojo-Álvarez, Inmaculada Mora-Jiménez, Rolv-Ole Lindsetmo, Stein Olav Skrøvseth
2015	—	`conf`	Kernel covariance series smoothing. MLSP Cristina Soguero-Ruíz, Robert Jenssen
2015	C	`conf`	Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction. IGARSS Katalin Blix, Gustau Camps-Valls, Robert Jenssen
2015	J	`jnl`	Spectral clustering with the probabilistic cluster kernel. Neurocomputing Emma Izquierdo-Verdiguier, Robert Jenssen, Luis Gómez-Chova, Gustavo Camps-Valls
2014	—	`conf`	Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage. BHI Cristina Soguero-Ruíz, Kristian Hindberg, José Luis Rojo-Álvarez, Stein Olav Skrøvseth, Fred Godtliebsen, Kim Mortensen, Arthur Revhaug, Rolv-Ole Lindsetmo, Inmaculada Mora-Jiménez, Knut Magne Augestad, Robert Jenssen
2014	J	`jnl`	Information theoretic clustering using a k-nearest neighbors approach. Pattern Recognit. Vidar Vikjord, Robert Jenssen
2014	—	`conf`	Mean Shift Spectral Clustering using Kernel Entropy Component Analysis. MLSP Jørgen Andreas Agersborg, Robert Jenssen
2013	—	`conf`	A new information theoretic clustering algorithm using k-nn. MLSP Vidar Vikjord, Robert Jenssen
2013	J	`jnl`	Entropy-Relevant Dimensions in the Kernel Feature Space: Cluster-Capturing Dimensionality Reduction. IEEE Signal Process. Mag. Robert Jenssen
2013	J	`jnl`	Mean Vector Component Analysis for Visualization and Clustering of Nonnegative Data. IEEE Trans. Neural Networks Learn. Syst. Robert Jenssen
2013	—	`conf`	Mean vector component analysis: A new approach to un-centered PCA for non-negative data. MLSP Robert Jenssen
2012	—	`conf`	Mixture weight influence on kernel entropy component analysis and semi-supervised learning using the Lasso. MLSP Jonas Nordhaug Myhre, Robert Jenssen
2011	—	`conf`	A new scatter-based multi-class support vector machine. MLSP Robert Jenssen, Marius Kloft, Sören Sonnenburg, Alexander Zien, Klaus-Robert Müller
2011	C	`conf`	Kernel entropy component analysis in remote sensing data clustering. IGARSS Luis Gómez-Chova, Robert Jenssen, Gustavo Camps-Valls
2011	—	`conf`	Kernel entropy component analysis: New theory and semi-supervised learning. MLSP Robert Jenssen
2010	—	`ch.`	A Reproducing Kernel Hilbert Space Framework for ITL. Information Theoretic Learning Jian-Wu Xu, Robert Jenssen, António R. C. Paiva, Il Park
2010	—	`ch.`	Clustering with ITL Principles. Information Theoretic Learning Robert Jenssen, Sudhir Rao
2010	J	`jnl`	Information theoretic clustering. Scholarpedia Robert Jenssen, José Carlos Príncipe
2010	J	`jnl`	Kernel Entropy Component Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Robert Jenssen
2009	—	`ed.`	Image Analysis, 16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June 15-18, 2009. Proceedings SCIA Arnt-Børre Salberg, Jon Yngve Hardeberg, Robert Jenssen
2009	—	`conf`	Kernel Entropy Component Analysis Pre-images for Pattern Denoising. SCIA Robert Jenssen, Ola Storås
2008	J	`jnl`	A new information theoretic analysis of sum-of-squared-error kernel clustering. Neurocomputing Robert Jenssen, Torbjørn Eltoft
2008	J	`jnl`	Mean shift spectral clustering. Pattern Recognit. Umut Ozertem, Deniz Erdogmus, Robert Jenssen
2007	J	`jnl`	Information cut for clustering using a gradient descent approach. Pattern Recognit. Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe, Torbjørn Eltoft
2007	J	`jnl`	The Laplacian Classifier. IEEE Trans. Signal Process. Robert Jenssen, Deniz Erdogmus, José C. Príncipe, Torbjørn Eltoft
2006	J	`jnl`	Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing. J. VLSI Signal Process. Deniz Erdogmus, Robert Jenssen, Yadunandana N. Rao, José C. Príncipe
2006	B	`conf`	Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm. IJCNN Robert Jenssen, Deniz Erdogmus, José C. Príncipe
2006	—	`conf`	Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm. NIPS Robert Jenssen, Torbjørn Eltoft, Mark A. Girolami, Deniz Erdogmus
2006	J	`jnl`	Some Equivalences between Kernel Methods and Information Theoretic Methods. J. VLSI Signal Process. Robert Jenssen, Torbjørn Eltoft, Deniz Erdogmus, José C. Príncipe
2006	J	`jnl`	Spectral feature projections that maximize Shannon mutual information with class labels. Pattern Recognit. Umut Ozertem, Deniz Erdogmus, Robert Jenssen
2006	J	`jnl`	The Cauchy-Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels. J. Frankl. Inst. Robert Jenssen, José C. Príncipe, Deniz Erdogmus, Torbjørn Eltoft
2005	—	`conf`	An information-theoretic perspective to kernel independent components analysis. ICASSP (5) Jian-Wu Xu, Deniz Erdogmus, Robert Jenssen, José C. Príncipe
2005	—	`conf`	Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering. EMMCVPR Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, José Carlos Príncipe, Torbjørn Eltoft
2005	—	`conf`	The Laplacian spectral classifier. ICASSP (5) Robert Jenssen, Deniz Erdogmus, José C. Príncipe, Torbjørn Eltoft
2004	B	`conf`	Information theoretic spectral clustering. IJCNN Robert Jenssen, Torbjørn Eltoft, José C. Príncipe
2004	—	`conf`	The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space. NIPS Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, Torbjørn Eltoft
2003	B	`conf`	Accurate initialization of neural network weights by backpropagation of the desired response. IJCNN Deniz Erdogmus, Oscar Fontenla-Romero, José C. Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo, Robert Jenssen
2003	B	`conf`	Clustering using Renyi's entropy. IJCNN Robert Jenssen, Kenneth E. Hild II, Deniz Erdogmus, José C. Príncipe, Torbjørn Eltoft
2003	J	`jnl`	Independent component analysis for texture segmentation. Pattern Recognit. Robert Jenssen, Torbjørn Eltoft
2003	—	`conf`	Information Force Clustering Using Directed Trees. EMMCVPR Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, José Carlos Príncipe, Torbjørn Eltoft
2003	—	`conf`	Information cut and information forces for clustering. NNSP Robert Jenssen, José C. Príncipe, Torbjørn Eltoft