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OpenAlex topic

Anomaly Detection Techniques and Applications

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 2,521 works 141 author topics

Works

2,521 works

  1. Imbalanced Learning 2013
    OpenAlex top 10% OpenAlex 98.4%

    The first book of its kind to review the current status and future direction of the exciting new branch of machine learning/data mining called imbalanced learning Imbalanced learning focuses on how an intelligent system can learn when it is provided with imbalanced data. Solving imbalanced learning problems is critica…

  2. Data Poisoning Attacks Against Federated Learning Systems 2020
    OpenAlex top 1% OpenAlex 99.8%

    No abstract yet.

  3. COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images 2020
    YÖKSİS SJR Q3 JCR Q4 OpenAlex top 1% OpenAlex 99.9%

    No abstract yet.

  4. Estimation of COVID-19 prevalence in Italy, Spain, and France 2020
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.2%

    No abstract yet.

  5. An intelligent intrusion detection system IDS for anomaly and misuse detection in computer networks 2005
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.2%

    No abstract yet.

  6. Unsupervised Anomaly Detection With LSTM Neural Networks 2019
    OpenAlex top 1% OpenAlex 99.6%

    We investigate anomaly detection in an unsupervised framework and introduce long short-term memory (LSTM) neural network-based algorithms. In particular, given variable length data sequences, we first pass these sequences through our LSTM-based structure and obtain fixed-length sequences. We then find a decision funct…

  7. A state-of-the-art survey of malware detection approaches using data mining techniques 2018
    OpenAlex top 1% OpenAlex 99.8%

    Abstract Data mining techniques have been concentrated for malware detection in the recent decade. The battle between security analyzers and malware scholars is everlasting as innovation grows. The proposed methodologies are not adequate while evolutionary and complex nature of malware is changing quickly and therefor…

  8. Detecting Falls with Wearable Sensors Using Machine Learning Techniques 2014
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.5%

    Falls are a serious public health problem and possibly life threatening for people in fall risk groups. We develop an automated fall detection system with wearable motion sensor units fitted to the subjects' body at six different positions. Each unit comprises three tri-axial devices (accelerometer, gyroscope, and mag…

  9. Detecting Falls with Wearable Sensors Using Machine Learning Techniques 2014
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.5%

    Falls are a serious public health problem and possibly life threatening for people in fall risk groups. We develop an automated fall detection system with wearable motion sensor units fitted to the subjects' body at six different positions. Each unit comprises three tri-axial devices (accelerometer, gyroscope, and mag…

  10. A Bag-of-Features Framework to Classify Time Series 2013
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.4%

    Time series classification is an important task with many challenging applications. A nearest neighbor (NN) classifier with dynamic time warping (DTW) distance is a strong solution in this context. On the other hand, feature-based approaches have been proposed as both classifiers and to provide insight into the series…

  11. CNN-based transfer learning-BiLSTM network: A novel approach for COVID-19 infection detection 2021
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.7%

    No abstract yet.

  12. CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection 2021
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.7%

    No abstract yet.

Academicians

141 academicians