Differences

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

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision
Previous revision
Next revisionBoth sides next revision
teaam:start [2019/05/01 16:03] – [Program Committee] gjnteaam:start [2019/06/28 05:40] – [Schedule] gjn
Line 35: Line 35:
  
  
-===== Format =====   +===== Schedule =====   
-The proposed workshop will include paper presentations and invited talks related to the workshop topics listed above, as well as a panel discussionAll submitted papers will be subject to a review by the workshop Program Committee Based on the number of high quality submissions we will define the length of the presentations that will be followed by time for questions and discussion from the audience+ 
 + 
 +{{:teaam:mgrzegorzek-photo.jpg?150 |}} 
 +**Keynote speaker:** Prof. Marcin Grzegorzek, Universität zu Lübeck, Institut für Medizinische Informatik 
 + 
 +**Title:** //Human-centred Pattern Recognition for Assistive Health Technologies// 
 + 
 +**Abstract:** We live in a data-driven society and significantly contribute to this concept by voluntarily generating terabytes of data everyday. Pattern recognition algorithms that automatically analyse and interpret that huge amount of heterogeneous data towards prevention (early risk detection), diagnosisassistance in therapy/aftercare/rehabilitation as well as nursing have achieved an extremely high scientific, societal and economic importanceIn this talk, Marcin Grzegorzek will present his research in the area motivated above considering, apart from machine learning, aspects of hardware, participatory design and ELSI (Ethical, Legal and Social Implications)Two of Marcin's projects, (1) Cognitive Village: Adaptively Learning Technical Support Platform for Elderly (funded by the German Federal Ministry of Education and Research) and (2) My-AHA: My Active and Healthy Ageing (EC Horizon 2020), will serve as concrete application scenarios.
  
 ===== Proceedings =====  ===== Proceedings ===== 
Line 72: Line 79:
   * Paper submission: 2019-04-29   * Paper submission: 2019-04-29
   * Notification: 2019-05-13   * Notification: 2019-05-13
-  * Camera-ready: 2019-06-10 +  * Camera-ready: 2019-05-31 
-  * Workshop: TBD, during AIME 2019-06-26-29+  * Workshop: 2019-06-26-29
  
 ===== Paper submission ===== ===== Paper submission =====
  
 The Easychair installation at https://easychair.org/conferences/?conf=teaam2019 shoud be used for submissions. We encourage full (12pp) as well as short (6pp) original research papers. Springer LNCS format of PDF submissions is required. The Easychair installation at https://easychair.org/conferences/?conf=teaam2019 shoud be used for submissions. We encourage full (12pp) as well as short (6pp) original research papers. Springer LNCS format of PDF submissions is required.
 +
 +===== Schedule =====
 +
 +    9:00-10:30 Opening session (Chair: J. Stefanowski)
 +
 +    9:00 TEAAM Opening: Workshop chairs
 +    9:15 Marcin Grzegorzek: Human-centred Pattern Recognition for Assistive Health Technologies
 +
 +    10:30-10:50 Coffee Break
 +
 +    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
 +    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
 +
 +    11:50-12:50 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
 +    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
 +
 +    12:50 - 14:00 Lunch Break
 +
 +    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
 +    14:20 Xuwen Wang, et al.: A Computational Framework towards Medical Image Explanation
 +    14:40 Discussion and workshop closing
 +
 +    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