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KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 11 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
CEC
2009
IEEE
15 years 10 months ago
Automatic system identification based on coevolution of models and tests
In evolutionary robotics, controllers are often designed in simulation, then transferred onto the real system. Nevertheless, when no accurate model is available, controller transfe...
Sylvain Koos, Jean-Baptiste Mouret, Stéphan...
BMCBI
2007
207views more  BMCBI 2007»
15 years 7 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
ICRA
2007
IEEE
117views Robotics» more  ICRA 2007»
16 years 1 months ago
A Noble Bilateral Teleoperation System for Human Guided Spinal Fusion
— In order to provide improved convenience for a surgeon in spinal fusion surgery, a robot system should i) closely engage in surgeon’s operation using an end effector, and ii)...
Keehoon Kim, Jongwon Lee, Wan Kyun Chung, Seungmoo...
ECRTS
1999
IEEE
15 years 11 months ago
Handling sporadic tasks in off-line scheduled distributed real-time systems
Many industrial applications mandate the use of a timetriggered paradigm and consequently the use of off-line scheduling for reasons such as predictability, certification, cost, o...
Damir Isovic, Gerhard Fohler