Data Science and Artificial Intelligence

Data Science and Artificial Intelligence Workshop

De Data Science and Artificial Intelligence
Révision datée du 4 novembre 2019 à 19:15 par Npadoy (discussion | contributions)
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Thursday November 7th, 2019

9:00am - 16:00pm


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

Google map direction


If you want to attend the workshop, please register here by November 5


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
Short presentation Claudine Mayer CSTB Deep learning for protein fold recognition
15:30 - Closing and coffee break - 16:00


- The workshop will be held in English
- 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)