Data Science and Artificial Intelligence

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=== When ===
 
=== When ===
 
<p>Wednesday May 4th, 2022</p>
 
<p>Wednesday May 4th, 2022</p>
−
<p>9:15am - 16:45pm</p>
+
<p>9:00am - 17:00pm</p>
  
 
===Where ===
 
===Where ===
 
<p>ICube Laboratory, 300 Bd Sébastien Brant, 67400 Illkirch-Graffenstaden - <b>Room A207</b></p>
 
<p>ICube Laboratory, 300 Bd Sébastien Brant, 67400 Illkirch-Graffenstaden - <b>Room A207</b></p>
 
<p>[https://goo.gl/maps/XVoh1KzCHzGMekSm6 Google map direction]</p>
 
<p>[https://goo.gl/maps/XVoh1KzCHzGMekSm6 Google map direction]</p>
 +
 +
 +
=== Registration ===
 +
<p>If you want to attend the workshop, please register for free [https://evento.renater.fr/survey/registration-to-dsai-workshop-on-may-5th-2022-vk7gh7d1 here] by '''April 20'''</p>
  
 
=== Program ===
 
=== Program ===
Ligne 13 : Ligne 17 :
 
!colspan="3"| Opening
 
!colspan="3"| Opening
 
|-
 
|-
−
!colspan="5"| Session 1 (Moderator: TBD)
+
!colspan="5"| Session 1 (Moderator: Nicolas Padoy)
 
|-
 
|-
−
| 09:00 - 09:20 || <i>Long presentation</i> ||  Speaker   ||   Team || Talk
+
| 09:00 - 09:20 || <i>Long presentation</i> ||  Amina Ben hamida   ||   SDC || Deep Learning for sparsely annotated Colon Cancer histopathological Images
 
|-
 
|-
−
| 09:20 - 09:40 || <i>Long presentation</i> || Speaker   || Team || Talk
+
| 09:20 - 09:40 || <i>Long presentation</i> || Vinkle Srivastav   || RDH || Self-supervised multi-view multi-person 3D human pose estimation
 
|-
 
|-
−
| 09:40 - 10:00 || <i> Long presentation</i> || Speaker   || Team || Talk
+
| 09:40 - 10:00 || <i> Long presentation</i> || Luc Vedrenne   || IMAGeS || Detection and segmentation of macromolecular assemblies with deep learning in fluorescence microscopy
 
|-
 
|-
−
| 10:00 - 10:08 || <i> Short presentation</i> || Speaker   || Team || Talk
+
| 10:00 - 10:08 || <i> Short presentation</i> || Julien Narboux   || IGG || Automatic formalization of statements
 
|-
 
|-
−
| 10:08 - 10:16 || <i> Short presentation</i> || Speaker   || Team || Talk
+
| 10:08 - 10:16 || <i> Short presentation</i> || Boyang Yu   || MLMS || Differentiable Cloth Simulation and Its Applications
  
 
|-
 
|-
−
!colspan="3"| Break (30mn)
+
!colspan="3"| Coffee Break (30mn)
 
|-
 
|-
−
!colspan="5"| Session 2 (Moderator: TDB)
+
!colspan="5"| Session 2 (Moderator: Vincent Noblet)
 
|-
 
|-
−
| 10:45 - 11:05 || <i>Long presentation</i> || Speaker || Team || Talk
+
| 10:45 - 11:05 || <i>Long presentation</i> || Baptiste Lafabregue || SDC || Grad Centroid Activation Mapping a visualisation for Convolutional Neural Network
 
|-
 
|-
−
| 11:05 - 11:25 || <i>Long presentation</i> || Speaker || Team || Talk
+
| 11:05 - 11:25 || <i>Long presentation</i> || Hasan Kassem || RDH || Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases
 
|-
 
|-
−
| 11:25 - 11:45 || <i>Long presentation</i> || Speaker || Team || Talk
+
| 11:25 - 11:45 || <i>Long presentation</i> || Michal Parusinski || SERTIT || A Study On Generalizing Building Extraction Models To Unseen
 
|-
 
|-
−
| 11:45 - 11:53 || <i>Short presentation</i> || Speaker || Team || Talk
+
| 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> || Speaker || Team || Talk
+
| 11:53 - 12:00 || <i>Short presentation</i> || Diwei Wang || MLMS || Video-based motor symptoms analysis using 3D human pose estimation
 
|-
 
|-
−
!colspan="3"| Lunch (1h)
+
!colspan="3"| Lunch buffet (1h)
 
|-
 
|-
−
!colspan="5"| Session 3 (Moderator: TBD)
+
!colspan="5"| Session 3 (Moderator: Thomas Lampert)
 
|-
 
|-
−
| 13:00 - 13:30 || <i>Invited Talk</i> ||Speaker || Team || Talk
+
| 13:00 - 13:30 || <i>Invited presentation</i> ||Audrey Poterie || Univ. Bretagne Sud || Random forests for grouped inputs
 
|-
 
|-
−
| 13:30 - 13:50 || <i>Long presentation</i> || Speaker || Team || Talk
+
| 13:30 - 13:50 || <i>Long presentation</i> || Deepak Alapatt || RDH || Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation
 
|-
 
|-
−
| 13:50 - 14:10 || <I>Long presentation</i> || Speaker || Team || Talk
+
| 13:50 - 14:10 || <I>Long presentation</i> || Axel Hutt || MLMS || Improved mathematical modeling and control by machine learning in neuroscience
 
|-
 
|-
−
| 14:10 - 14:18 || <i>Short presentation</i> || Speaker || Team || Talk
+
| 14:10 - 14:18 || <i>Short presentation</i> || Karim El Haff || SDC || Named Entity Recognition for textual data extraction from medieval Arabic pharmacopeias
 
|-
 
|-
−
| 14:18 - 14:26 || <i>Short presentation</i> || Speaker || Team || Talk
+
| 14:18 - 14:26 || <i>Short presentation</i> || Mamadou Ben Hamidou Cissoko || SDC || Machine Learning with Electronic Health Record Database
 
|-
 
|-
−
!colspan="3"| Break (30mn)
+
!colspan="3"| Coffee Break (30mn)
 
|-
 
|-
−
!colspan="5"| Session 4 (Moderator: TBD)
+
!colspan="5"| Session 4 (Moderator: Cédric Wemmert)
 
|-
 
|-
−
| 15:00 - 15:20 || <i>Long presentation</i> || Speaker || Team || Talk
+
| 15:00 - 15:20 || <i>Long presentation</i> || Mihailo Obrenovic || SDC || Can deep learning algorithms run on a CPU?
 
|-
 
|-
−
| 15:20 - 15:40 || <i>Long presentation</i> || Speaker || Team || Talk
+
| 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
 
|-
 
|-
−
| 16:00 - 16:20 || <i>Long presentation</i> || Speaker || Team || Talk
+
| 16:00 - 16:20 || <i>Long presentation</i> || Adrien Heitz || IMAGeS || Segmentation of lungs tubular structures
 
|-
 
|-
−
| 16:20 - 16:28 || <i>Short presentation</i> || Speaker || Team || Talk
+
| 16:20 - 16:28 || <i>Short presentation</i> || Barbara Seeliger || RDH || Adrenal Gland and Lesion Identification in CT scans with Machine Learning
 
|-
 
|-
−
| 16:28 - 16:36 || <i>Short presentation</i> || Speaker || Team || Talk
+
| 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
 
|-
 
|-
 
!colspan="3"| Closing
 
!colspan="3"| Closing

Version actuelle datée du 3 mai 2022 à 21:34

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 for free here by April 20

Program

Opening
Session 1 (Moderator: Nicolas Padoy)
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: Vincent Noblet)
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: Thomas Lampert)
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: Cédric Wemmert)
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=310 »