Dec. 4 |
|
Title |
Speaker |
|
|
|
|
10:00 |
10:05 |
Welcome |
Henrik Boström, SU |
10:05 |
10:30 |
Analyzing structured and unstructured data in electronic health records |
Jing Zhao, Aron Henriksson, SU |
10:30 |
10:45 |
Facilitating statistical and visual pattern detection in large databases of electronic health records: Introducing the vigiTrace analytics suite |
Ola Caster, WHO Uppsala Monitoring Centre |
10:45 |
11:00 |
WEB-RADR: An IMI project for gathering and analysing adverse drug reaction information from smartphones and social media |
Johan Ellenius, WHO Uppsala Monitoring Centre |
11:00 |
11:30 |
Challenges created by Life Sciences – Beyond the big data problems |
Jan Komorowski, UU |
11:30 |
12:00 |
Automating bioinformatics analyses on Swedish e-infrastructures |
Ola Spjuth, UU |
12:00 |
13:00 |
Lunch |
|
13:00 |
13:30 |
Conformal prediction – a tutorial for machine learning researchers |
Ulf Johansson, HB |
13:30 |
13:45 |
Conformal prediction in Bioclipse |
Ernst Ahlberg, AstraZeneca |
13:45 |
14:00 |
Computational Toxicology at Swetox |
Ulf Norinder, Swetox |
14:00 |
14:30 |
Integrated Vehicle Health Management at Scania AB |
Jonas Biteus, Scania, Tony Lindgren, SU |
14:30 |
15:00 |
Deep Convolutional Networks and solving large scale computer vision problems |
Josephine Sullivan, KTH |
15:00 |
15:30 |
Break |
|
15:30 |
16:00 |
Machine Learning at Chalmers CSE: Graph Kernels, Word and Graph Embeddings and Bayesian Reinforcement Learning |
Devdatt Dubhashi, CTH |
16:00 |
16:15 |
Interactive learning problems, adaptive experiment design and optimal optimisation |
Christos Dimitrakakis, CTH |
16:15 |
16:30 |
Some problems in business data science and risk analytics |
Desheng Dash Wu, SU |
16:30 |
17:00 |
Data Science at University of Skövde |
Alexander Karlsson m.fl., HIS |
17:00 |
17:30 |
Center for Applied Intelligent Systems Research (CAISR) at Halmstad University |
Jens Lundström, HH |
18:30 |
20:30 |
Dinner |
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|
|
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Dec. 5 |
|
Title |
Speaker |
|
|
|
|
09:00 |
09:30 |
Is my network reproducible? Sparsity selection and network validation via bootstrap |
Rebecka Jörnsten, CTH |
09:30 |
09:45 |
Indexing and Mining Large Data Series |
Panagiotis Papapetrou, SU |
09:45 |
10:00 |
Learning from small graphs |
Thashmee Karunaratne, SU |
10:00 |
10:15 |
Data-Driven Prognostics of Lead-Acid Batteries using Random Survival Forests |
Erik Frisk, Mattias Krysander, LiU |
10:15 |
10:30 |
Self-organizing management of large-scale heterogeneous networks |
Olof Görnerup, SICS |
10:30 |
11:00 |
Presentation of discussion topics: |
|
|
|
Creating a National Data Science Doctoral Programme in Sweden: Some international examples |
Devdatt Dubhashi, CTH |
|
|
Computational Life Sciences |
Jan Komorowski, UU |
|
|
Data Driven Vehicle Health Management |
Jonas Biteus, Scania |
|
|
Adaptive experiment design and robot scientists |
Christos Dimitrakakis, CTH |
|
|
Finding common scientific grounds in applied research across multiple domains |
Jens Lundström, HH |
|
|
Comprehensible models from high-dimensional or complex data |
Niklas Lavesson, BTH |
|
|
Data series: summarization, indexing, and modeling |
Panagiotis Papapetrou, SU |
|
|
|
|
11:00 |
12:00 |
Group discussions I |
|
12:00 |
13:00 |
Lunch |
|
13:00 |
15:00 |
Group discussions II |
|
15:00 |
16:00 |
Plenary presentation of discussion outcomes |
|
11 Responses to Program