Différences entre les versions de « Data Science and Artificial Intelligence Workshop »
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| − | !colspan=" | + | !colspan="3"|09:00 - Introduction |
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| <i>Long presentation</i> || Romain Orhand || CSTB || Towards autonomy and explainability in Artificial Intelligence | | <i>Long presentation</i> || Romain Orhand || CSTB || Towards autonomy and explainability in Artificial Intelligence | ||
| Ligne 35 : | Ligne 35 : | ||
| <b>10:30 - Coffee break - 11:00</b> | | <b>10:30 - Coffee break - 11:00</b> | ||
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| − | | Emmanuelle Claeys || SDC || Reinforcement learning with time series | + | | <i>Long presentation</i> ||Emmanuelle Claeys || SDC || Reinforcement learning with time series |
|- | |- | ||
| − | | Anne Jeannin-Girardon || CSTB || Transfer Learning: review and recent advances | + | | <i>Long presentation</i> ||Anne Jeannin-Girardon || CSTB || Transfer Learning: review and recent advances |
|- | |- | ||
| − | | Bertrand Goldman || Other || Stellar streams in the Gaia mission area | + | | <i>Short presentation</i> ||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. | + | | <i>Short presentation</i> ||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 | + | | <i>Short presentation</i> ||Xin Ni || CSIP || An approach merging the IDM-related knowledge |
|- | |- | ||
| − | | Michal Parusinski || SERTIT || AI at SERTIT for remote sensing | + | | <i>Short presentation</i> ||Michal Parusinski || SERTIT || AI at SERTIT for remote sensing |
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| <b>12:20 - Lunch</b> | | <b>12:20 - Lunch</b> | ||
Version du 30 septembre 2019 à 18:33
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 | |||
| 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 | Other | 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 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