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We invite Data Science experts to present and discuss topics relevant to the scope of Datalab. The seminar usually takes place every two weeks, on Wednesdays from 12:00-13:00 at the Winterthur Campus of ZHAW.

Future Events

Date Time&Place Speaker Title Abstract
Wed, 9.11. 12:00, TH 343 and Zoom Prof. Lutz Dümbgen (University of Bern) Refining Invariant Coordinate Selection via Local Projection Pursuit Invariant coordinate selection (ICS), introduced by Tyler et a. (2009, J. Royal Statistic. Soc. B), is a powerful tool to find potentially interesting projections of multivariate data. In some cases, some of the projections proposed by ICS come close to really interesting ones, but little deviations can result in a blurred view which does not reveal the feature (e.g. a clustering) which would otherwise be clearly visible. To remedy this problem, we propose an automated and localized version of projection pursuit (PP), cf. Huber (1985. Ann. Statist.). Precisely, our local search is based on gradient descent applied to estimated differential entropy as a function of the projection matrix. The method is illustrated with two- and three-dimensional projections. This is joint work with Katrin Gyel and Fabrice Perler.

Past Events (2022)

Date Speaker Title Slides
Wed, 13.7. Prof. Dr. Markus Melloh
(Victoria U of Wellington)
Work or study in New Zealand – Opportunities for ZHAW Data Scientists at Victoria University of Wellington PDF
Wed, 6.7. Dr. Simon Bruderer
(Bruker BioSpin)
Deep learning for processing of nuclear magnetic resonance (NMR) data
Wed, 1.6. Several 2nd International INODE EOSC Workshop
Wed, 2.3. Sebastian Welter (IKEA) Scaling AI in Enterprises PDF
Wed, 16.2. Prof. Dr. Volker Dellwo (UZH) Can speakers make themselves more recognisable?: Voice dynamics and its influence on voice recognition PDF
Wed 02.02. Helmut Grabner (ZHAW) All Images are Equal but Some Images are More Equal than Others webcamaze.engineering.zhaw.ch

Past Events (2021)

Date Speaker Title Slides
Wed, 17.11. Prof. Dr. Christoph von der Malsburg How can kids learn so much faster than transformers? Recording PDF
Wed, 8.9. Prof. Nicolaj Stache (HS Heilbronn) From Simulation to Reality using Reinforcement Learning PDF
Wed, 25.8. Prof. Macro Gori (U Siena) Learning to See by Motion Invariance PDF
Wed, 23.6. Lukas Tuggener (ZHAW CAI) Is it Enough to Optimize CNN Architectures on ImageNet? PDF

Past Events (2020)

Date Speaker Title Slides
Wed 02.12. Pia Viviani
Citizen Science: What is it exactly and what are the challenges? PDF
Wed 21.10. Daniel Neururer
On the Importance of time dependent features for Speaker Recognition PDF
Wed 09.09. Raphael Weber, Mehmet Yesil, Prof. Dr. Ruedi Füchslin and Prof. Dr. Kurt Stockinger
Quantum Databases and Quantum Machine Learning – How Far Can We Go on a Publicly Available Quantum Computer? PDF
Wed 08.04. Dr. Ricardo Chavarriaga
Presentation of the CLAIRE Office Switzerland PDF
Wed, 11.03. Nicolas Schmid
Data-Driven Adaptive Controller Parameterisation: A Bayesian Optimization Approach PDF
Thu, 05.03. Prof. Philipp Hungerländer
(Univ. Klagenfurt)
Propagation of vibroacoustic quality specifications in the automotive industry PDF
Wed, 26.02. Ursin Brunner and Prof. Kurt Stockinger
Entity Matching with Transformer Architectures - A Step Forward in Data Integration Prezi
Wed, 29.01. Prof. Kerrie Mengersen
(Queensland University of Technology QUT)
Bayesian Statistics in the Big Data Era  

Past Events (2019)

Date Speaker Title Slides
Wed, 18.12. Prof. Dr. Luca Maria Gambardella
(Director of IDSIA, USI-SUPSI, Lugano)
Innovation through Artificial Intelligence PDF
Fri, 15.11. PD Dr. Friedhelm Schwenker
(University of Ulm)
Artificial deep neural networks for multimodal emotion recognition PDF
Thu, 12.09. Dr. Siavash Arjomand Bigdeli
Deep Density Approximation for Bayesian Image Restoration  
Fri, 09.08. Prof. Haiwang Cao
(Zhengzhou University of Aeronautics, China)
AI application in safety support for civil airports  
Mon, 15.07. Prof. Dr. Mark Sanderson
(RMIT University, Melbourne)
Conferences vs. journals in computer science  
Mon, 20.05. Dr. Vasileios Trigonakis
(Oracle Labs Switzerland)
Introduction to Graph Processing (with PGX)