Robust and rapid adaption for concept drift in software system anomaly detection
Anomaly detection is critical for web-based software systems. Anecdotal evidence suggests
that in these systems, the accuracy of a static anomaly detection method that was previously …
that in these systems, the accuracy of a static anomaly detection method that was previously …
Change point detection via multivariate singular spectrum analysis
The objective of change point detection (CPD) is to detect significant and abrupt changes in
the dynamics of the underlying system of interest through multivariate time series …
the dynamics of the underlying system of interest through multivariate time series …
Rapid and robust impact assessment of software changes in large internet-based services
The detection of performance changes in software change roll-outs in Internet-based
services is crucial for an operations team, because it allows timely roll-back of a software …
services is crucial for an operations team, because it allows timely roll-back of a software …
Funnel: Assessing software changes in web-based services
The detection of performance changes in software change roll-outs in Internet-based
services is crucial for an operations team, because it allows timely roll-back of a software …
services is crucial for an operations team, because it allows timely roll-back of a software …
[HTML][HTML] Investigating the relationship between processes and profit: A work-based assessment of process used in Australian financial planning firms
B Neilson - The Journal of Finance and Data Science, 2024 - Elsevier
The research explores relationship dynamics between process and profit in Australian
professional practise. We analyse data collected from 134 financial planning firms located in …
professional practise. We analyse data collected from 134 financial planning firms located in …
[PDF][PDF] Change-point detection of climate time series by nonparametric method
N Itoh, J Kurths - Proceedings of the world congress on engineering and …, 2010 - iaeng.org
In one of the data mining techniques, change-point detection is of importance in evaluating
time series measured in real world. For decades this technique has been developed as a …
time series measured in real world. For decades this technique has been developed as a …
Unsupervised simultaneous learning of gestures, actions and their associations for human-robot interaction
Y Mohammad, T Nishida… - 2009 IEEE/RSJ …, 2009 - ieeexplore.ieee.org
Human-robot interaction using free hand gestures is gaining more importance as more
untrained humans are operating robots in home and office environments. The robot needs to …
untrained humans are operating robots in home and office environments. The robot needs to …
Using physiological signals to detect natural interactive behavior
Y Mohammad, T Nishida - Applied Intelligence, 2010 - Springer
Many researchers in the Human Robot Interaction (HRI) and Embodied Conversational
Agents (ECA) domains try to build robots and agents that exhibit human-like behavior in real …
Agents (ECA) domains try to build robots and agents that exhibit human-like behavior in real …
On comparing SSA-based change point discovery algorithms
Y Mohammad, T Nishida - 2011 ieee/sice international …, 2011 - ieeexplore.ieee.org
Change point discovery is an important problem in data mining and industrial systems.
Different approaches have been proposed and some of the most promising approaches are …
Different approaches have been proposed and some of the most promising approaches are …
Fluid Imitation: Discovering What to Imitate?
Y Mohammad, T Nishida - International Journal of Social Robotics, 2012 - Springer
Research in learning from demonstrations has focused primarily on the question of how to
utilize demonstrations to learn new behavior assuming that the demonstrator (teacher) …
utilize demonstrations to learn new behavior assuming that the demonstrator (teacher) …