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).
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 | |||||
| Emmanuelle Claeys | SDC | Reinforcement learning with time series | |||
| Anne Jeannin-Girardon | CSTB | Transfer Learning: review and recent advances | |||
| Bertrand Goldman | Other | Stellar streams in the Gaia mission area | |||
| Chinedu Nwoye | AVR | Weakly-supervised convolutional LSTM approach for surgical tool tracking in laparoscopic videos. | |||
| Xin Ni | CSIP | An approach merging the IDM-related knowledge | |||
| Michal Parusinski | SERTIT | 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