Prof. Dr. - Ing. Morris Riedel

2020-01-20 Artificial Intelligence Data Analysis School for Heliophysicists Morris Riedel 0

Teaching

Artificial Intelligence Data Analysis School for Heliophysicists

Artificial Intelligence Data Analysis School for Heliophysicists Invited Training Course organized by the EC Project Artificial Intelligence Data Analysis (AIDA) CINECA, Bologna, Italy 2020-01-20 – 2020-01-22 [ EVENT ] Materials [ Lecture 1: Introduction and Differences between AI, ML, NN, and Big Data – Slides ~10.2 MB (pdf) ] [ Lecture 2: Unsupervised Learning – Clustering – Slides ~7.08 MB (pdf) ] [ Lecture 3: Unsupervised Learning – Computing – Slides ~10.2 MB (pdf) ] [ Lecture 4: Supervised Learning – Multi-Class Classification and Generalization – Slides ~8.99 MB (pdf) ] [ Lecture 5: Supervised Learning – Artificial Neural Networks...

Cloud-Computing-and-Big-Data-Fall-2018 0

Teaching

Cloud Computing and Big Data – Course Fall 2018

Cloud Computing and Big Data – Course Fall 2018 Parallel & Scalable Machine Learning & Deep Learning 16 university lectures with additional practical lectures for hands-on exercises in context University of Iceland, School of Engineering and Natural Sciences Faculty of Industrial Engineering, Mechanical Engineering and Computer Science Fall 2018 Lecture 0 – Prologue Slides PDF (9,59 MB) Starting teaching period with Lecture 0 – Prologue of Cloud Computing & Big Data – Parallel & Scalable Machine Learning & Deep Learning Course of @Haskoli_Islands @uni_iceland today mentioning also Modular Supercomputing driven by @DEEPprojects @fzj_jsc @fz_juelich @helmholtz_de pic.twitter.com/52bmhnZNhs — Morris Riedel (@MorrisRiedel)...

object detection 0

Publications

Automatic Object Detection using DBSCAN for Counting Intoxicated Flies in the FLORIDA Assay

Automatic Object Detection using DBSCAN for Counting Intoxicated Flies in the FLORIDA Assay Christian Bodenstein, Markus Goetz, Annika Jansen, Henrike Scholz, Morris Riedel In conference proceedings of the 15th IEEE International Conference on Machine Learning and Applications, IEEE ICMLA’16, Anaheim, USA, 18 Dec 2016 – 20 Dec 2016, ISBN 978-1-5090-6167-9, pp. 746 – 751, 2017 [ EVENT ] [ DOI ] [ JUSER ] [ RESEARCHGATE ] Abstract: In this paper, we propose an instrumentation and computer vision pipeline that allows automatic object detection on images taken from multiple experimental set ups. We demonstrate the approach by autonomously counting intoxicated...