Data Science and Artificial Intelligence Workshop

ICube Data Science and Artificial Intelligence

When

Thursday November 7th, 2019

9:00am - 15:30pm

Where

ICube Laboratory, 300 Bd Sébastien Brant, 67400 Illkirch-Graffenstaden
(Room A207).

Google map direction

Registration

If you want to attend the workshop, please register here: [link]

Temporary program

09:00 - Introduction
Long presentation	Romain Orhand	CSTB	Towards autonomy and explainability in Artificial Intelligence
Long presentation	Vinkle Srivastav	AVR	Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images
Short presentation	Pascal Guehl	IGG	Creative AI for Texture Synthesis
Short presentation	Hugo Gangloff	IMAGeS	Automatic Segmentation of Atherosclerotic Cross-Sections of Arteries with Deep Learning
Meet&Match	Yves-Andre Chapuis	MaCEPV	Accelerated Development of Materials and Devices via Data Analytics and Artificial Intelligence
Meet&Match	Pei Zhang	CSIP	Inventive design in AI context
Meet&Match	Enagnon Aguénounon	IPP	Fast spatial frequency imaging parameters extraction using generative network
Meet&Match	Morgan Madec	SMH	Optical recognition of bacteria
10:30 - Coffee break

11:00 1 Emmanuelle Claeys SDC Reinforcement learning with time series 2 Anne Jeannin-Girardon CSTB Transfer Learning: review and recent advances 3 Bertrand Goldman Other Stellar streams in the Gaia mission area 4 Chinedu Nwoye AVR Weakly-supervised convolutional LSTM approach for surgical tool tracking in laparoscopic videos. 5 Xin Ni CSIP An approach merging the IDM-related knowledge 6 Michal Parusinski Other AI at SERTIT for remote sensing 12:20 Lunch 14:00 1 Argheesh Bhanot IMAGeS Online dictionary learning for single-subject fMRI data unmixing 2 Birgitta Dresp-Langley IGG The quantization error in the Self-Organizing Map (SOM) output as a diagnostic tool for single-pixel change in complex patterns 3 Hyewon Seo Other Generating 3D Facial Expressions with RNN 4 Simon Chatelin AVR Machine learning for elasticity imaging in biological soft tissue 5 Stella MARC-ZWECKER SDC Spatio-temporal data modeling using graphs 6 Thomas Weber CSTB RADMEL: An ensemble predictor to reveal disease-relevant missense variants with low degree of uncertainty 7 Baptiste Lafabregue SDC A comparison of unsupervised representation learning methods for time series