Data Science and Artificial Intelligence

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!colspan="5"| Session 1 (Moderator: TBD)
 
!colspan="5"| Session 1 (Moderator: TBD)
 
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| 09:00 - 09:20 || <i>Long presentation</i> ||  Speaker   ||   Team || Talk
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| 09:00 - 09:20 || <i>Long presentation</i> ||  Amina Ben hamida   ||   SDC || Deep Learning for sparsely annotated Colon Cancer histopathological Images
 
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| 09:20 - 09:40 || <i>Long presentation</i> || Speaker   || Team || Talk
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| 09:20 - 09:40 || <i>Long presentation</i> || Vinkle Srivastav   || RDH || Self-supervised multi-view multi-person 3D human pose estimation
 
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| 09:40 - 10:00 || <i> Long presentation</i> || Speaker   || Team || Talk
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| 09:40 - 10:00 || <i> Long presentation</i> || Luc Vedrenne   || IMAGeS || Detection and segmentation of macromolecular assemblies with deep learning in fluorescence microscopy
 
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| 10:00 - 10:08 || <i> Short presentation</i> || Speaker   || Team || Talk
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| 10:00 - 10:08 || <i> Short presentation</i> || Julien Narboux   || IGG || Automatic formalization of statements
 
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| 10:08 - 10:16 || <i> Short presentation</i> || Speaker   || Team || Talk
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| 10:08 - 10:16 || <i> Short presentation</i> || Boyang YU   || MLMS || Differentiable Cloth Simulation and Its Applications
  
 
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!colspan="5"| Session 2 (Moderator: TDB)
 
!colspan="5"| Session 2 (Moderator: TDB)
 
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| 10:45 - 11:05 || <i>Long presentation</i> || Speaker || Team || Talk
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| 10:45 - 11:05 || <i>Long presentation</i> || Baptiste Lafabregue || SDC || Grad Centroid Activation Mapping a visualisation for Convolutional Neural Network
 
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| 11:05 - 11:25 || <i>Long presentation</i> || Speaker || Team || Talk
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| 11:05 - 11:25 || <i>Long presentation</i> || Hasan Kassem || RDH || Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases
 
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| 11:25 - 11:45 || <i>Long presentation</i> || Speaker || Team || Talk
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| 11:25 - 11:45 || <i>Long presentation</i> || Michal Parusinski || Sertit || A Study On Generalizing Building Extraction Models To Unseen
 
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| 11:45 - 11:53 || <i>Short presentation</i> || Speaker || Team || Talk
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| 11:45 - 11:53 || <i>Short presentation</i> || Stella Marc-Zwecker || SDC || Explainability of deep learning using symbolic AI (DEEPISH projectp)
 
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| 11:53 - 12:00 || <i>Short presentation</i> || Speaker || Team || Talk
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| 11:53 - 12:00 || <i>Short presentation</i> || Diwei Wang || MLMS || Deep Analysis of Motor Symptoms for Dementia with Lewy Bodies
 
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!colspan="3"| Lunch (1h)
 
!colspan="3"| Lunch (1h)
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!colspan="5"| Session 3 (Moderator: TBD)
 
!colspan="5"| Session 3 (Moderator: TBD)
 
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| 13:00 - 13:30 || <i>Invited Talk</i> ||Speaker || Team || Talk
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| 13:00 - 13:30 || <i>Invited presentation</i> ||Audrey Poterie || Univ. Bretagne Sud || Trees and random forests for groups of inputs
 
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| 13:30 - 13:50 || <i>Long presentation</i> || Speaker || Team || Talk
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| 13:30 - 13:50 || <i>Long presentation</i> || Deepak Alapatt || RDH || Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation
 
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| 13:50 - 14:10 || <I>Long presentation</i> || Speaker || Team || Talk
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| 13:50 - 14:10 || <I>Long presentation</i> || Axel Hutt || MLMS || Improved mathematical modeling and control by machine learning in neuroscience
 
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| 14:10 - 14:18 || <i>Short presentation</i> || Speaker || Team || Talk
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| 14:10 - 14:18 || <i>Short presentation</i> || Karim El Haff || SDC || Named Entity Recognition for textual data extraction from medieval Arabic pharmacopeias
 
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| 14:18 - 14:26 || <i>Short presentation</i> || Speaker || Team || Talk
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| 14:18 - 14:26 || <i>Short presentation</i> || Mamadou Ben Hamidou Cissoko || SDC || Machine Learning with Electronic Health Record Database
 
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!colspan="3"| Break (30mn)
 
!colspan="3"| Break (30mn)
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!colspan="5"| Session 4 (Moderator: TBD)
 
!colspan="5"| Session 4 (Moderator: TBD)
 
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| 15:00 - 15:20 || <i>Long presentation</i> || Speaker || Team || Talk
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| 15:00 - 15:20 || <i>Long presentation</i> || Mihailo Obrenovic || SDC || Can deep learning algorithms run on a CPU?
 
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| 15:20 - 15:40 || <i>Long presentation</i> || Speaker || Team || Talk
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| 15:20 - 15:40 || <i>Long presentation</i> || 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
 
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| 16:00 - 16:20 || <i>Long presentation</i> || Speaker || Team || Talk
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| 16:00 - 16:20 || <i>Long presentation</i> || Adrien Heitz || IMAGeS || Segmentation of lungs tubular structures
 
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| 16:20 - 16:28 || <i>Short presentation</i> || Speaker || Team || Talk
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| 16:20 - 16:28 || <i>Short presentation</i> || Barbara Seeliger || RDH || Adrenal Gland and Lesion Identification in CT scans with Machine Learning
 
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| 16:28 - 16:36 || <i>Short presentation</i> || Speaker || Team || Talk
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| 16:28 - 16:36 || <i>Short presentation</i> || Danielle Teixeira Alves da Silva || Sertit || Earth Observation services supporting forestry resource management under pressure from a changing climate
 
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!colspan="3"| Closing
 
!colspan="3"| Closing

Version du 29 mars 2022 à 21:36

When

Wednesday May 4th, 2022

9:00am - 17:00pm

Where

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

Google map direction


Registration

If you want to attend the workshop, please register 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
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 Deep Analysis of Motor Symptoms for Dementia with Lewy Bodies
Lunch (1h)
Session 3 (Moderator: TBD)
13:00 - 13:30 Invited presentation Audrey Poterie Univ. Bretagne Sud Trees and random forests for groups of 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
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)
Récupérée de « https://dsai.icube.unistra.fr/index.php?title=Data_Science_and_Artificial_Intelligence_Workshop_(Mai_2022)&oldid=299 »