Anomaly detection

Results: 503



#Item
1Poster: PCA-based statistical anomaly detection of reactive jamming in WiFi networks Ni An Vinod Mishra

Poster: PCA-based statistical anomaly detection of reactive jamming in WiFi networks Ni An Vinod Mishra

Add to Reading List

Source URL: www.ieee-security.org

Language: English - Date: 2017-05-12 22:38:18
2SAIFE: Unsupervised Wireless Spectrum Anomaly Detection with Interpretable Features Sreeraj Rajendran∗ , Wannes Meert† , Vincent Lenders‡ and Sofie Pollin∗ arXiv:1807.08316v1 [eess.SP] 22 Jul 2018

SAIFE: Unsupervised Wireless Spectrum Anomaly Detection with Interpretable Features Sreeraj Rajendran∗ , Wannes Meert† , Vincent Lenders‡ and Sofie Pollin∗ arXiv:1807.08316v1 [eess.SP] 22 Jul 2018

Add to Reading List

Source URL: www.lenders.ch

Language: English - Date: 2018-08-01 09:56:01
3Anomaly detection based on real-time exploitation of billing systems

Anomaly detection based on real-time exploitation of billing systems

Add to Reading List

Source URL: mavroud.is

Language: English - Date: 2018-10-23 09:34:50
4Anomaly Detection in Hyperspectral Images of Complex Scenes Dirk BORGHYS a,1 , Elie TRUYEN a Michal SHIMONI a and Christiaan PERNEEL b a Royal Military Academy, Signal & Image Centre, Brussels, Belgium b Royal Military A

Anomaly Detection in Hyperspectral Images of Complex Scenes Dirk BORGHYS a,1 , Elie TRUYEN a Michal SHIMONI a and Christiaan PERNEEL b a Royal Military Academy, Signal & Image Centre, Brussels, Belgium b Royal Military A

Add to Reading List

Source URL: www.sic.rma.ac.be

Language: English - Date: 2009-06-29 09:05:56
    5An Interview of Daphne and Naren by Comm. of ACM on Program Anomaly Detection 1-Your method only seems to work on programs whose behavior with which you have become very familiar. Is that true? Response: Yes, that is cor

    An Interview of Daphne and Naren by Comm. of ACM on Program Anomaly Detection 1-Your method only seems to work on programs whose behavior with which you have become very familiar. Is that true? Response: Yes, that is cor

    Add to Reading List

    Source URL: people.cs.vt.edu

    Language: English - Date: 2016-05-01 10:17:43
      6Conditional Anomaly Detection Using Soft Harmonic Functions: An Application to Clinical Alerting Michal Valko Computer Science Department, University of Pittsburgh, PA

      Conditional Anomaly Detection Using Soft Harmonic Functions: An Application to Clinical Alerting Michal Valko Computer Science Department, University of Pittsburgh, PA

      Add to Reading List

      Source URL: www.bkveton.com

      Language: English - Date: 2018-07-29 15:59:24
        7data iku Case Study / Transportation  Anomaly Detection

        data iku Case Study / Transportation Anomaly Detection

        Add to Reading List

        Source URL: pages.dataiku.com

        Language: English - Date: 2017-10-09 22:07:07
          8ANOMALY DETECTION IN COMPLEX ENVIRONMENTS: EVALUATION OF THE INTERAND INTRA-METHOD CONSISTENCY D. Borghys, E. Truyen, M. Shimoni C. Perneel  Royal Military Academy

          ANOMALY DETECTION IN COMPLEX ENVIRONMENTS: EVALUATION OF THE INTERAND INTRA-METHOD CONSISTENCY D. Borghys, E. Truyen, M. Shimoni C. Perneel Royal Military Academy

          Add to Reading List

          Source URL: www.sic.rma.ac.be

          Language: English - Date: 2009-12-16 09:49:12
            9Anomaly Detection: A Unique Anti-Fraud Approach GET CONNECTED TODAY BidSwitch™ is available for immediate access to any programmatic enabled demand or supply

            Anomaly Detection: A Unique Anti-Fraud Approach GET CONNECTED TODAY BidSwitch™ is available for immediate access to any programmatic enabled demand or supply

            Add to Reading List

            Source URL: www.bidswitch.com

            Language: English - Date: 2016-10-03 14:07:17
              10A least-squares approach to anomaly detection in static and sequential data John A. Quinna , Masashi Sugiyamab a Department b Department  of Computer Science, Makerere University, PO Box 7062, Kampala, Uganda

              A least-squares approach to anomaly detection in static and sequential data John A. Quinna , Masashi Sugiyamab a Department b Department of Computer Science, Makerere University, PO Box 7062, Kampala, Uganda

              Add to Reading List

              Source URL: cit.mak.ac.ug

              Language: English - Date: 2018-08-07 07:34:11