Différences entre les versions de « Data Science and Artificial Intelligence Workshop (Mai 2022) »
Aller à la navigation
Aller à la recherche
Ligne 42 : | Ligne 42 : | ||
| 11:45 - 11:53 || <i>Short presentation</i> || Stella Marc-Zwecker || SDC || Explainability of deep learning using symbolic AI (DEEPISH projectp) | | 11:45 - 11:53 || <i>Short presentation</i> || Stella Marc-Zwecker || SDC || Explainability of deep learning using symbolic AI (DEEPISH projectp) | ||
|- | |- | ||
− | | 11:53 - 12:00 || <i>Short presentation</i> || Diwei Wang || MLMS || | + | | 11:53 - 12:00 || <i>Short presentation</i> || Diwei Wang || MLMS || Video-based motor symptoms analysis using 3D human pose estimation |
|- | |- | ||
!colspan="3"| Lunch buffet (1h) | !colspan="3"| Lunch buffet (1h) |
Version du 31 mars 2022 à 21:02
When
Wednesday May 4th, 2022
9:00am - 17:00pm
Where
ICube Laboratory, 300 Bd Sébastien Brant, 67400 Illkirch-Graffenstaden - Room A207
Registration
If you want to attend the workshop, please register for free here by April 20
Program
Opening | ||||
---|---|---|---|---|
Session 1 (Moderator: TBD) | ||||
09:00 - 09:20 | Long presentation | Amina Ben hamida | SDC | Deep Learning for sparsely annotated Colon Cancer histopathological Images |
09:20 - 09:40 | Long presentation | Vinkle Srivastav | RDH | Self-supervised multi-view multi-person 3D human pose estimation |
09:40 - 10:00 | Long presentation | Luc Vedrenne | IMAGeS | Detection and segmentation of macromolecular assemblies with deep learning in fluorescence microscopy |
10:00 - 10:08 | Short presentation | Julien Narboux | IGG | Automatic formalization of statements |
10:08 - 10:16 | Short presentation | Boyang Yu | MLMS | Differentiable Cloth Simulation and Its Applications |
Coffee Break (30mn) | ||||
Session 2 (Moderator: TDB) | ||||
10:45 - 11:05 | Long presentation | Baptiste Lafabregue | SDC | Grad Centroid Activation Mapping a visualisation for Convolutional Neural Network |
11:05 - 11:25 | Long presentation | Hasan Kassem | RDH | Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases |
11:25 - 11:45 | Long presentation | Michal Parusinski | SERTIT | A Study On Generalizing Building Extraction Models To Unseen |
11:45 - 11:53 | Short presentation | Stella Marc-Zwecker | SDC | Explainability of deep learning using symbolic AI (DEEPISH projectp) |
11:53 - 12:00 | Short presentation | Diwei Wang | MLMS | Video-based motor symptoms analysis using 3D human pose estimation |
Lunch buffet (1h) | ||||
Session 3 (Moderator: TBD) | ||||
13:00 - 13:30 | Invited presentation | Audrey Poterie | Univ. Bretagne Sud | Random forests for grouped inputs |
13:30 - 13:50 | Long presentation | Deepak Alapatt | RDH | Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation |
13:50 - 14:10 | Long presentation | Axel Hutt | MLMS | Improved mathematical modeling and control by machine learning in neuroscience |
14:10 - 14:18 | Short presentation | Karim El Haff | SDC | Named Entity Recognition for textual data extraction from medieval Arabic pharmacopeias |
14:18 - 14:26 | Short presentation | Mamadou Ben Hamidou Cissoko | SDC | Machine Learning with Electronic Health Record Database |
Coffee Break (30mn) | ||||
Session 4 (Moderator: TBD) | ||||
15:00 - 15:20 | Long presentation | Mihailo Obrenovic | SDC | Can deep learning algorithms run on a CPU? |
15:20 - 15:40 | Long presentation | Imane Zidaoui | MecaFlu | A survey of methodologies and tools for data validation using AI - Application to self-monitoring data and permanent diagnosis of wastewater networks |
16:00 - 16:20 | Long presentation | Adrien Heitz | IMAGeS | Segmentation of lungs tubular structures |
16:20 - 16:28 | Short presentation | Barbara Seeliger | RDH | Adrenal Gland and Lesion Identification in CT scans with Machine Learning |
16:28 - 16:36 | Short presentation | Danielle Teixeira Alves da Silva | SERTIT | Earth Observation services supporting forestry resource management under pressure from a changing climate |
Closing |
Format
- The workshop will be held in English - Long presentation are 20mn (15mn talk + 5mn questions) - Short presentation are 8mn (5mn talk + 3mn questions)