Différences entre les versions de « Data Science and Artificial Intelligence Workshop »
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=== When === | === When === | ||
<p>Thursday November 7th, 2019</p> | <p>Thursday November 7th, 2019</p> | ||
| − | <p>9:00am - | + | <p>9:00am - 16:00pm</p> |
===Where === | ===Where === | ||
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| <i>Short presentation</i> ||Baptiste Lafabregue || SDC || A comparison of unsupervised representation learning methods for time series | | <i>Short presentation</i> ||Baptiste Lafabregue || SDC || A comparison of unsupervised representation learning methods for time series | ||
|- | |- | ||
| − | !colspan="3"| 15:30 - Closing and coffee break | + | !colspan="3"| 15:30 - Closing and coffee break - 16:00 |
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Version du 1 octobre 2019 à 12:14
When
Thursday November 7th, 2019
9:00am - 16:00pm
Where
ICube Laboratory, 300 Bd Sébastien Brant, 67400 Illkirch-Graffenstaden - Room A207
Registration
If you want to attend the workshop, please register here: [link]
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 | |||
| Long presentation | Emmanuelle Claeys | SDC | Reinforcement learning with time series |
| Long presentation | Anne Jeannin-Girardon | CSTB | Transfer Learning: review and recent advances |
| Short presentation | Bertrand Goldman | ISU | Stellar streams in the Gaia mission area |
| Short presentation | Chinedu Nwoye | AVR | Weakly-supervised convolutional LSTM approach for surgical tool tracking in laparoscopic videos. |
| Short presentation | Xin Ni | CSIP | An approach merging the IDM-related knowledge |
| Short presentation | Michal Parusinski | SERTIT | AI at SERTIT for remote sensing |
| 12:20 - Lunch - 14:00 | |||
| Long presentation | Argheesh Bhanot | IMAGeS | Online dictionary learning for single-subject fMRI data unmixing |
| Long presentation | 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 |
| Short presentation | Hyewon Seo | Generating 3D Facial Expressions with RNN | |
| Short presentation | Simon Chatelin | AVR | Machine learning for elasticity imaging in biological soft tissue |
| Short presentation | Stella Marc-Zwecker | SDC | Spatio-temporal data modeling using graphs |
| Short presentation | Thomas Weber | CSTB | RADMEL: An ensemble predictor to reveal disease-relevant missense variants with low degree of uncertainty |
| Short presentation | Baptiste Lafabregue | SDC | A comparison of unsupervised representation learning methods for time series |
| 15:30 - Closing and coffee break - 16:00 | |||
Format
- Long presentation are 20mn (15mn talk + 5mn questions) - Short presentation are 10mn (5-7mn talk + 5-3mn questions) - Meet & Match are 5mn (5mn talk before the coffee break to allow for discussions with potential collaborators)