Name: Where the Earth Meets the Sky
Start: 2021-05-27T08:00:00+02:00
End: 2021-05-28T18:05:00+02:00
Location: online

A Method to Distinguish Quiescent and Dusty Star-forming Galaxies with t-SNE (in session "Poster session 2")

A new vocabulary for textures and its astronomical applications (in session "Poster session 2")

Anomaly Detection using Dimensionality reduction - an Active learning approach. (in session "Poster session 2")

AstroPath: Astronomy Meets Pathology to Characterize the Tumor MicroEnvironment (in session "Afternoon 1")

Automated morphological decomposition of galaxies in large imaging surveys (in session "Poster session 1")

Bayesian Model Comparison applied to COVID 19 (in session "Afternoon 2")

Building Seamless Whole Slide Multiplex Images in the AstroPath Project (in session "Poster session 1")

CellView: an Interactive Image Viewer for Multiplex Cancer Images in the AstroPath Project (in session "Poster session 2")

Chaotic_Neural: Improving Literature Surveys in Astronomy with Machine Learning (in session "Afternoon 2")

Correcting for Systematics in Multiplex Cancer Imaging in the AstroPath Project (in session "Afternoon 1")

Cross-Registration of Whole Slide Images from Different Modalities in AstroPath (in session "Poster session 2")

CycleGANs can bridge to understanding/closing the reality gap for CMB simulations (in session "Morning 2")

Deep learning framework for clinical diagnosis - a healthcare system (in session "Morning 1")

Deep Multi-Task Learning for Series Classification by Pulse Sequence Type and Orientation (in session "Poster session 2")

Domain Adaptation for Cross-Domain Studies in Astronomy: Merging Galaxies Identification (in session "Afternoon 2")

Fast complex dynamics emulators using deep generative models (in session "Morning 2")

Hand-On Image Processing with PySAP (in session "Morning 1")

How is deep learning useful to understand the physics of galaxies? (in session "Morning 2")

Longitudinal Disease Trajectories at Population Scale (in session "Morning 2")

Modelling spatial phenomena: a brief tour of the current state of the art (in session "Afternoon 1")

Novel Application in Machine Learning: Predicting the Issuance of COVID-19 Stay-at-Home Orders in Africa (in session "Poster session 2")

ODUSSEAS: a machine learning tool to derive effective temperature and metallicity for M dwarf stars (in session "Poster session 1")

PyAutoFit: A Classy Probabilistic Programming Language For Cosmology and Cancer (in session "Afternoon 1")

Searching for needles in the cosmic haystack (in session "Afternoon 2")

Supervised classification of variable stars from the NASA TESS survey with features originating from the biomedical domain (in session "Morning 1")

The AstroPath Image Acquisition and Segmentation Workflow (in session "Poster session 1")

The role of domain knowledge experts in the era of big data (in session "Afternoon 1")

Time Series Classification: From Astronomical Transients to Human Heart Sounds (in session "Morning 1")

Towards an interpretable and transferable acoustic emotion recognition for the detection of mental disorders (in session "Morning 1")

Training an interpretable ML algorithm with only a dab of real data: An extragalactic perspective (in session "Afternoon 1")

Welcome and introduction

Welcome back

What to do with curved distributions in MCMC (in session "Morning 2")

When the brain meets the sky: Compressed Sensing for Magnetic Resonance Imaging & Radio-Astronomy (in session "Morning 1")

Where the Earth Meets the Sky

Material Package