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--- teaam:start [2019/06/28 05:39] – [Paper submission] sched gjn
+++ teaam:start [2019/10/07 16:00] – [Schedule] fix new lines gjn
@@ Line 88: / Line 88: @@
 ===== Schedule =====
-<pre>
+:00-10:30 Opening session (Chair: J. Stefanowski)
-:00-10:30 Opening session (Chair: J. Stefanowski)
-:00 TEAAM Opening: Workshop chairs
+:00 TEAAM Opening: Workshop chairs\\
 :15 Marcin Grzegorzek: Human-centred Pattern Recognition for Assistive Health Technologies
 :30-10:50 Coffee Break
 :50-11:50 Session 1 (Chair: J. Juarez)
-:50 Olga Kamińska, et al.: Self organizing maps using acoustic features for prediction of state change in bipolar disorder
+:50 Olga Kamińska, et al.: Self organizing maps using acoustic features for prediction of state change in bipolar disorder\\
-:10 Alexander Galozy, et al.: Towards Understanding ICU Treatments using Patient Health Trajectories
+:10 Alexander Galozy, et al.: Towards Understanding ICU Treatments using Patient Health Trajectories\\
-:30 Erica Ramirez, et al.: Interpretable Anomaly Detection and Classification of Multivariate Time Series
+:30 Erica Ramirez, et al.: Interpretable Anomaly Detection and Classification of Multivariate Time Series for Transparent Human Gait Analysis
-                                 for Transparent Human Gait Analysis
 :50-12:50 Session 2 (Chair: S. Nowaczyk)
-:50 Leon Kopitar, et al.: Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening
+:50 Leon Kopitar, et al.: Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening\\
-:10 Bernardo Cánovas Segura, et al.: Exploring antimicrobial resistance prediction using post-hoc interpretable methods
+:10 Bernardo Cánovas Segura, et al.: Exploring antimicrobial resistance prediction using post-hoc interpretable methods\\
-:30 Katarzyna Kobylińska, et al.: Explainable machine learning for modeling of early postoperative mortality
+:30 Katarzyna Kobylińska, et al.: Explainable machine learning for modeling of early postoperative mortality in lung cancer
-                                        in lung cancer
 :50 - 14:00 Lunch Break
 :00 - 15:30 Session 3 (Chair: G. Stiglic)
-:00 Keyuan Jiang, et al.: An Explainable Approach of Inferring Potential Medication Effects from Social Media Data
+:00 Keyuan Jiang, et al.: An Explainable Approach of Inferring Potential Medication Effects from Social Media Data\\
 :20 Xuwen Wang, et al.: A Computational Framework towards Medical Image Explanation
 :40 Discussion and workshop closing
+:30 - 16:00  (farewell) Coffee Break
-:30 - 16:00  (farewell) Coffee Break
-</pre>