Différences entre les versions de « Data Science and Artificial Intelligence Workshop »
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=== Temporary program === | === Temporary program === | ||
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+ | ! Texte de l’en-tête !! Texte de l’en-tête !! Texte de l’en-tête | ||
+ | |- | ||
+ | | Texte de la cellule || Texte de la cellule || Texte de la cellule | ||
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+ | | Texte de la cellule || Texte de la cellule || Texte de la cellule | ||
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+ | | Texte de la cellule || Texte de la cellule || Texte de la cellule | ||
+ | |} | ||
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+ | {| class="wikitable" | ||
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+ | 09:00 Introduction | ||
+ | |- | ||
+ | | Romain Orhand || CSTB || Towards autonomy and explainability in Artificial Intelligence | ||
+ | |- | ||
+ | | Vinkle Srivastav || AVR || Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images | ||
+ | |} | ||
+ | |||
+ | 3 Pascal Guehl IGG Creative AI for Texture Synthesis | ||
+ | 4 Hugo Gangloff IMAGeS Automatic Segmentation of Atherosclerotic Cross-Sections of Arteries with Deep Learning | ||
+ | 5 Yves-Andre Chapuis MaCEPV Accelerated Development of Materials and Devices via Data Analytics and Artificial Intelligence | ||
+ | 6 Pei Zhang CSIP Inventive design in AI context | ||
+ | 7 Enagnon Aguénounon IPP Fast spatial frequency imaging parameters extraction using generative network | ||
+ | 8 Morgan MADEC SMH Optical recognition of bacteria | ||
+ | 10:30 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 |
Version du 30 septembre 2019 à 18:19
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
Texte de l’en-tête | Texte de l’en-tête | Texte de l’en-tête |
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Texte de la cellule | Texte de la cellule | Texte de la cellule |
Texte de la cellule | Texte de la cellule | Texte de la cellule |
Texte de la cellule | Texte de la cellule | Texte de la cellule |
Romain Orhand | CSTB | Towards autonomy and explainability in Artificial Intelligence |
Vinkle Srivastav | AVR | Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images |
3 Pascal Guehl IGG Creative AI for Texture Synthesis 4 Hugo Gangloff IMAGeS Automatic Segmentation of Atherosclerotic Cross-Sections of Arteries with Deep Learning 5 Yves-Andre Chapuis MaCEPV Accelerated Development of Materials and Devices via Data Analytics and Artificial Intelligence 6 Pei Zhang CSIP Inventive design in AI context 7 Enagnon Aguénounon IPP Fast spatial frequency imaging parameters extraction using generative network 8 Morgan MADEC SMH Optical recognition of bacteria 10:30 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