Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revisionBoth sides next revision
teaam:start [2019/06/28 05:40] – [Schedule] gjnteaam:start [2019/10/07 16:00] – [Schedule] fix new lines gjn
Line 88: Line 88:
 ===== Schedule ===== ===== Schedule =====
  
-    9:00-10:30 Opening session (Chair: J. Stefanowski)+9:00-10:30 Opening session (Chair: J. Stefanowski)
  
-    9:00 TEAAM Opening: Workshop chairs +9:00 TEAAM Opening: Workshop chairs\\ 
-    9:15 Marcin Grzegorzek: Human-centred Pattern Recognition for Assistive Health Technologies+9:15 Marcin Grzegorzek: Human-centred Pattern Recognition for Assistive Health Technologies
  
-    10:30-10:50 Coffee Break+10:30-10:50 Coffee Break
  
-    10:50-11:50 Session 1 (Chair: J. Juarez)+10:50-11:50 Session 1 (Chair: J. Juarez)
  
-    10:50 Olga Kamińska, et al.: Self organizing maps using acoustic features for prediction of state change in bipolar disorder +10:50 Olga Kamińska, et al.: Self organizing maps using acoustic features for prediction of state change in bipolar disorder\\ 
-    11:10 Alexander Galozy, et al.: Towards Understanding ICU Treatments using Patient Health Trajectories +11:10 Alexander Galozy, et al.: Towards Understanding ICU Treatments using Patient Health Trajectories\\ 
-    11:30 Erica Ramirez, et al.: Interpretable Anomaly Detection and Classification of Multivariate Time Series for Transparent Human Gait Analysis+11:30 Erica Ramirez, et al.: Interpretable Anomaly Detection and Classification of Multivariate Time Series for Transparent Human Gait Analysis
  
-    11:50-12:50 Session 2 (Chair: S. Nowaczyk)+11:50-12:50 Session 2 (Chair: S. Nowaczyk)
  
-    11:50 Leon Kopitar, et al.: Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening +11:50 Leon Kopitar, et al.: Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening\\ 
-    12:10 Bernardo Cánovas Segura, et al.: Exploring antimicrobial resistance prediction using post-hoc interpretable methods +12:10 Bernardo Cánovas Segura, et al.: Exploring antimicrobial resistance prediction using post-hoc interpretable methods\\ 
-    12:30 Katarzyna Kobylińska, et al.: Explainable machine learning for modeling of early postoperative mortality in lung cancer+12:30 Katarzyna Kobylińska, et al.: Explainable machine learning for modeling of early postoperative mortality in lung cancer
  
-    12:50 - 14:00 Lunch Break+12:50 - 14:00 Lunch Break
  
-    14:00 - 15:30 Session 3 (Chair: G. Stiglic)+14:00 - 15:30 Session 3 (Chair: G. Stiglic)
  
-    14:00 Keyuan Jiang, et al.: An Explainable Approach of Inferring Potential Medication Effects from Social Media Data +14:00 Keyuan Jiang, et al.: An Explainable Approach of Inferring Potential Medication Effects from Social Media Data\\ 
-    14:20 Xuwen Wang, et al.: A Computational Framework towards Medical Image Explanation +14:20 Xuwen Wang, et al.: A Computational Framework towards Medical Image Explanation 
-    14:40 Discussion and workshop closing+14:40 Discussion and workshop closing
  
-    15:30 - 16:00  (farewell) Coffee Break+15:30 - 16:00  (farewell) Coffee Break
  
teaam/start.txt · Last modified: 2020/04/15 15:52 by gjn
Driven by DokuWiki Recent changes RSS feed Valid CSS Valid XHTML 1.0