From one-class to two-class classification by incorporating expert knowledge: Novelty detection in human behaviour
نویسندگان
چکیده
منابع مشابه
One-Class Novelty Detection for Seizure Analysis from Intracranial EEG
This paper describes an application of one-class support vector machine (SVM) novelty detection for detecting seizures in humans. Our technique maps intracranial electroencephalogram (EEG) time series into corresponding novelty sequences by classifying short-time, energy-based statistics computed from one-second windows of data. We train a classifier on epochs of interictal (normal) EEG. During...
متن کاملDetection of Fake Accounts in Social Networks Based on One Class Classification
Detection of fake accounts on social networks is a challenging process. The previous methods in identification of fake accounts have not considered the strength of the users’ communications, hence reducing their efficiency. In this work, we are going to present a detection method based on the users’ similarities considering the network communications of the users. In the first step, similarity ...
متن کاملAdversarially Learned One-Class Classifier for Novelty Detection
Novelty detection is the process of identifying the observation(s) that differ in some respect from the training observations (the target class). In reality, the novelty class is often absent during training, poorly sampled or not well defined. Therefore, one-class classifiers can efficiently model such problems. However, due to the unavailability of data from the novelty class, training an end...
متن کاملRoad Detection by One-Class Color Classification: Dataset and Experiments
Detecting traversable road areas ahead a moving vehicle is a key process for modern autonomous driving systems. A common approach to road detection consists of exploiting color features to classify pixels as road or background. These algorithms reduce the effect of lighting variations and weather conditions by exploiting the discriminant/invariant properties of different color representations. ...
متن کاملOne-Class Classification by Combining Density and Class Probability Estimation
One-class classification has important applications such as outlier and novelty detection. It is commonly tackled using either density estimation techniques or by adapting a standard classification algorithm to the problem of carving out a decision boundary that describes the location of the target data. In this paper we present a simple method for one-class classification that combines the app...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: European Journal of Operational Research
سال: 2020
ISSN: 0377-2217
DOI: 10.1016/j.ejor.2019.10.015