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ICMLA
2010
14 years 9 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...
BSN
2009
IEEE
171views Sensor Networks» more  BSN 2009»
15 years 6 months ago
DexterNet: An Open Platform for Heterogeneous Body Sensor Networks and its Applications
We present an open-source platform for wireless body sensor networks called DexterNet. The system supports real-time, persistent human monitoring in both indoor and outdoor enviro...
Philip Kuryloski, Annarita Giani, Roberta Giannant...
IWRIDL
2006
ACM
141views Education» more  IWRIDL 2006»
15 years 5 months ago
Shallow syntax analysis in Sanskrit guided by semantic nets constraints
We present the state of the art of a computational platform for the analysis of classical Sanskrit. The platform comprises modules for phonology, morphology, segmentation and shal...
Gérard P. Huet
IMC
2010
ACM
14 years 9 months ago
Temporally oblivious anomaly detection on large networks using functional peers
Previous methods of network anomaly detection have focused on defining a temporal model of what is "normal," and flagging the "abnormal" activity that does not...
Kevin M. Carter, Richard Lippmann, Stephen W. Boye...
GIS
2009
ACM
15 years 3 months ago
Dynamic network data exploration through semi-supervised functional embedding
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Alexei Pozdnoukhov