2018

• In May, Alex and Benjamin gave a workshop on electrode shifts in signal extraction for bionic hand prostheses at IASPT.
• In May, Alex, Benjamin, and Sebastian Müller presented their work on transfer learning and learning in the model space for bionic hand prostheses at IASPT.
• Congratulations, Dr. Lux! Our colleague Markus Lux passed his PhD defense on 24.04.2018.
• In April, Babak and Johannes presented their work on Feasibility Based Large Margin Nearest Neighbor Metric Learning and Differential private relevance learning at ESANN.
• In March, Christina and Jan Philip attended the Workshop on Intelligent Systems and Computational Intelligence in Groningen to present our work on feature relevance and feature selection.

2017

• Congratulations, Dr. Aswolinskiy! Our colleague Witali Aswolinskiy passed his PhD defense on 21.12.2017.
• In December, Barbara presented our work on learning with drift and transfer learning at the NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments.
• In December, Christina and Jan Philip attended NIPS to present our work on feature relevance learning for reject option SVM.
• In November, Babak attended the BMVA Symposium on Human Activity Recognition to present his work on Non-negative Kernel Sparse Coding Frameworks for Efficient Analysis of Motion Data.
• In November, Alex presented our work on Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor Classifier at the 2017 IEEE Symposium on Computational Intelligence and Data Mining (IEEE CIDM '17) in Hawaii.
• In October, Christina spent a month in Waterloo, Canada, for joint research with Shai Ben-David.
• In June, Alex attended the 16th Conference on Artificial Intelligence in Medicine (AIME 2017) in Vienna and presented our work on Echo State Networks as Novel Approach for Low-Cost Myoelectric Control.
• In June, Christina attended the Machine Learning Summer School at the Max Planck Institute for Intelligent Systems, Tübingen.
• In April, Benjamin, Christina, and Lukas attended ESANN to present our work on Feature Relevance Bounds for Linear Classification and EM Transfer Learning for Myoelectric Devices.
• Congratulations, Dr. Schulz! Our colleague Alexander Schulz passed his PhD defense on 31.03.2017.
• The poster "Transfer Learning for Robust Control of Bionic Prostheses" co-authored by Alexander Schulz, Benjamin Paaßen and Barbara Hammer has been awarded the best poster award (2nd) at the Interdisciplinary College 2017.
• In March, Tarek Besold from the University of Bremen visited us to discuss the possibiliyies of joint work on model interpretability.
• In March, Barbara attended a mini-symposium at RU Groningen on Machine Learning and acted as external committee member for the PhD defense of Mathias Gay.
• In February, Barbara presented our work on Metric Learning for Intelligent Tutoring Systems at the Digital Media Lab at the University of Bremen.
• Barbara is technical co-chair of IJCNN 2017 which will take place in May in Anchorage, USA.

2016

• The article KNN classifier with self adjusting memory for heterogeneous concept drift, co-authored by Viktor Losing, Barbara Hammer (both members of CITEC's Machine Learning group), and Heiko Wersing (Honda R&D) received the best paper award at IEEE ICDM 2016, one of the top tier conferences in data mining. The approach combines an intuitive memory architecture with fundamental machine learning algorithms to instantaneously react to drift while learning e.g. in the frame of model personalization.
• Barbara has been elected as board member of the International Neural Network society, and she has been reappointed as chair of the Distinguished Lecturer Program of the IEEE Computational Intelligence Society.
• CITEC's machine learning group proudly presents the paper acdc – Automated Contamination Detection and Confidence estimation for single-cell genome data, which appeared in BMC bioinformatics with Markus Lux as first author.
• Barbara has been invited as plenary speaker to the NIPS workshop on Cognitive Computing where she presented work of CITEC's Machine Learning group on structure learning for intelligent tutoring systems.
• Barbara has been elected as board member of the International Neural Networks Society (INNS) for 2017.
• The paper KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift by Viktor Losing, Barbara Hammer and Heiko Wersing has been accepted for IEEE ICDM as a regular paper, where acceptance rate for regular papers was 8.5% this year.
• Benjamin Paaßen and Alexander Schulz were shortlisted for best paper award at ICNR 2016 for their paper Transfer Learning for Rapid Recalibration of a Myoelectric Prosthesis after Electrode Shift.
• Congratulations, Dr. Fischer! Our colleague Lydia Fischer passed her PhD defense on 23.09.2016.
• Benjamin Paaßen won the Best Presentation Award at NC² (New Challenges in Neural Computation) 2016 in Hanover, Germany for his paper Linear Supervised Transfer Learning for Generalized Matrix LVQ .
• Congratulations, Dr. Bunte! Kerstin, who was a post-doc in our group, has started a tenure track position within the Rosalind Franklin Fellowships program at RU Groningen.
• Congratulation, Professor Schleif! Frank-Michael, who was a post-doc in our group and received his habilitation from the Bielefeld Faculty of Technology, has accepted an offer as professor at the University of Applied Sciences Würzburg-Schweinfurt.
• Together with the group Computer Graphics & Geometry Processing, we formed the team Hammer Mario Bro's and Sisses and participated in the university's yearly running competition Finnbahnlauf. We came in 15th at 40:05 minutes.
• Barbara has been asked to chair the IEEE CIS Distinguished Lecturers Program Committee in 2016.
• Barbara has been elected as a member of the IEEE CIS Administrative Committee for the term 2016-2017.
• Barbara has been invited as keynote speaker at AIAI 2016.
• Barbara has been invited to give a tutorial at IK 2016 on the topic Machine Learning.
• Together with Heli Koskimäki (Oulu Univ., Finland) and Yaochu Yin (Univ. Surrey, U.K.), Barbara is organizing a special session on Computational intelligent techniques related to big and streaming data analysis at SSCI 2016.
• Together with Frank Hsu (Fordham Univ., USA) and Marios Polycarpou (KIOS Research Centre, Univ. Cyprus), Barbara is organizing a special session on Computational Intelligence Techniques For The Analysis Of Big And Streaming Data In Complex Systems at WCCI 2016.
• We are co-organizing the workshop New Challenges in Neural Computation which will take place accompanying GCPR in Hanover.
• Together with Alexander Gepperth (ENSTA ParisTech, France), Barbara is organizing a special session on Incremental Learning and Applications at ESANN 2016.
• Barbara has been invited to participate in Dagstuhl seminars on Integration of Expert Knowledge for Interpretable Models in Biomedical Data Analysis and Foundations of Unsupervised Learning.
• Barbara acted as external committee member in the PhD defense of Dr. Vilens Jumutc in the research group of Prof. Johan Suykens, KU Leuven.
• Barbara visited Prof. Alessandro Sperduti, Univ. Padova, and presented our work on Discriminative Dimensionality Reduction and Model Visualization.
• The article Self-Adjusting Reject Options in Prototype Based Classification by Thomas Villmann, Marika Kaden, Andrea Bohnsack, J.-M. Villmann, T. Drogies, S. Saralajew, Barbara Hammer received a best paper award at WSOM 2016.

2015

• Congratulations, Dr. Hofmann! Our colleague Daniela Hofmann passed her PhD defense on 23.10.2015.
• Bassam Mokbel won the Best Poster Award at NC² (New Challenges in Neural Computation) 2015 in Aachen, Germany for his paper Towards Dimensionality Reduction for Smart Home Sensor Data .
• Alexander Schulz won the Best Poster Award at CAIP (Conference on Computer Analysis of Images and Patterns) 2015 in Valletta, Malta for his paper Visualization of Regression Models Using Discriminative Dimensionality Reduction .
• Congratulations, Dr. Mokbel! Our colleague Bassam Mokbel passed his PhD defense on 22.05.2015.
• Benjamin Paassen won the Best Student Paper Award at ESANN (European Symposium on Artificial Neural Networks) 2015 in Bruges, Belgium for his paper Adaptive structure metrics for automated feedback provision in Java programming .
• Congratulations, Dr. Zhu! Our colleague Xibin Zhu passed his PhD defense on 25.02.2015.

2014

• Congratulations, Dr. Gisbrecht! Our colleague Andrej Gisbrecht passed his PhD defense on 11.09.2014.
• Prof. Dr. Barbara Hammer organized a tutorial on prototype-based learning methods at IJCNN (Conference on Neural Networks) 2014 in Beijing, China. More details can be found here.
• Bassam Mokbel won the Best Student Paper Award at ESANN (European Symposium on Artificial Neural Networks) 2014 in Bruges, Belgium for his paper Adaptive distance measures for sequential data .
• Dr. Frenay from Université catholique de Louvain, Belgium, visited our group for research exchange from March to September 2014.