UnsupervisedLearners – TensorFlow

The ML student group UnsupervisedLearners organized the seminar “Machine Learning in Python – TensorFlow”, with Andreas Strauman as the instructor and Simon Sikkeland as the main organizer. Close to 50 attendees! Pizza sponsored by the Norwegian Association for Image Analysis and Pattern Analysis (Nobim.no) and the UiT Machine Learning Group.

Invited talk at Norbis

Robert gave the opening invited talk at the Norbis conference with the talk   “Deep Learning for Data-Driven Health Technology”

Papers submitted for IEEE BHI!

The group has submitted three papers to the IEEE Conference on Biomedical and Health Informatics, 2018:   Uncertainty Modelling and Interpretability in Convolutional Neural Networks for Polyp Segmentation Wikstrøm, Kampffmeyer, Jenssen   Towards deep anchor learning Hansen, Mikalsen, Kampffmeyer, Soguero-Ruiz, Jenssen   Classification of postoperative surgical site infections from blood measurements with missing data using Read More

Robert gave talk at UiO

Robert gave the invited talk “Deep learning research at the UiT Machine Learning Group” at the Institute of Mathematical Sciences at the University of Oslo (UiO) 18th Oct 2017.

New paper in health analytics!

New machine learning paper by Karl Øyvind Mikalsen and co-workers on health analytics! Title: Using Anchors from Free Text in Electronic Health Records to Diagnose Postoperative Delirium Journal: Computer Methods and Programs in Biomedicine Authors: Karl Øyvind Mikalsen, Cristina Soguero Ruiz, Kasper Jensen, Kristian Hindberg, Mads Gran, Arthur Revhaug, Rolv-Ole Lindsetmo, Stein Olav Skrøvseth, Fred Read More

Presentations at MLSP Tokyo!

UiT Machine Learning Group presents two new works at the IEEE MLSP conference in Tokyo 2018: Karl Øyvind Mikalsen an co-workers: “The Time Series Cluster Kernel” Michael Kampffmeyer and co-workers: “Deep Divergence-based Clustering”

Robert invited speaker

Robert was an invited speaker Sept 7 2017 at the Kongsberg Technology Conference at Sundvolden Hotel.

Michael at CMU!

Michael Kampffmeyer visits Carnegie Mellon University (CMU) for 10 months starting Sept 2017! Michael is  an expert on deep learning (DL), and has published works on development of convolutional neural networks in remote sensing, on DL clustering, and on so-called kernelized auto encoders. We wish Michael good luck in the US!

Robert opponent at UiS

Ali B. Rad successfully defended his PhD thesis at the University of Stavanger (UiS) 31st Aug’17. Opponents were Pablo Laguna, University of Zaragoza, and Robert Jenssen, UiT.

Hiring new postdoc

Candidates for our new postdoc position is now under review. We have several good candidates who has applied for the position!