• PaNDa+

  • Referenced in 1 article [sw28423]
  • discovered patterns, we exploited PaNDa+ to detect overlapping communities in a bipartite network. The results...
  • COVID-Net

  • Referenced in 9 articles [sw41186]
  • Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest ... open source efforts of the research community, in this study we introduce COVID ... convolutional neural network design tailored for the detection of COVID-19 cases from chest...
  • Pindel

  • Referenced in 4 articles [sw33143]
  • Pindel: a pattern growth approach to detect break points of large deletions and medium sized ... genomic community to develop effective algorithms to reliably identify genomic variants. Indel detection using next...
  • H3D

  • Referenced in 4 articles [sw36632]
  • object detection and tracking are crucial for traffic scene understanding. However, the community pays less ... large-scale full-surround 3D multi-object detection and tracking dataset collected using...
  • WESAD

  • Referenced in 3 articles [sw39780]
  • Affect Detection. Affect recognition aims to detect a person’s affective state based on observables ... affective computing community lacks commonly used standard datasets for wearable stress detection which a) provide...
  • TAJ

  • Referenced in 7 articles [sw33114]
  • into security-sensitive operations. Taint analysis can detect many common vulnerabilities in Web applications ... attracted much attention from both the research community and industry. However, most static taint-analysis...
  • LVIS

  • Referenced in 3 articles [sw34918]
  • object detection is enabled by datasets that focus the research community’s attention on open ... deep learning methods for object detection perform poorly in the low-sample regime, we believe...
  • Cosmic-CoNN

  • Referenced in 1 article [sw39640]
  • make automatic, robust CR detection widely accessible by the community of astronomers...
  • prabclus

  • Referenced in 1 article [sw35314]
  • delimitation, nearest neighbor based noise detection. Genetic distances between communities. Tests whether various distance-based...
  • WIDER FACE

  • Referenced in 2 articles [sw37093]
  • Face detection is one of the most studied topics in the computer vision community. Much...
  • Embed2detect

  • Referenced in 1 article [sw41814]
  • therefore, automated event detection mechanisms are invaluable to the community. Apart from a few notable...
  • OpenFace

  • Referenced in 9 articles [sw32734]
  • vision and machine learning researchers, affective computing community and people interested in building interactive applications ... capable of more accurate facial landmark detection, head pose estimation, facial action unit recognition...
  • NetzCope

  • Referenced in 1 article [sw20356]
  • structural similarity, and the detection and visualization of network communities by modularity maximization...
  • MadDroid

  • Referenced in 1 article [sw33522]
  • MadDroid: Characterising and Detecting Devious Ad Content for Android Apps. Advertisement drives the economy ... content has been overlooked by the research community, which poses a number of threats ... propose MadDroid, a framework for automated detection of devious ad contents. MadDroid leverages an automated ... suggesting that our community should invest more effort into the detection and mitigation of devious...
  • POISED

  • Referenced in 1 article [sw30723]
  • spam and malicious content. Existing techniques for detecting spam include predicting the trustworthiness of accounts ... connections or share common interests to form communities. In this paper, we first show that ... messages, based on the interests of those communities. Spam and other malicious content ... spam detection systems that have been proposed by the research community in the past. POISED...
  • Selfis

  • Referenced in 7 articles [sw15702]
  • freely distributed as a service to the community. For more information please refer ... bucket shuffling methodology for long-range dependence detection. Future releases will include time-series processing...
  • MMDetection

  • Referenced in 5 articles [sw30737]
  • toolbox is by far the most complete detection toolbox. In this paper, we introduce ... benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing...
  • CovidCTNet

  • Referenced in 1 article [sw41859]
  • enhance the accuracy of CT imaging detection, we developed an open-source set of algorithms called ... CovidCTNet that successfully differentiates Covid-19 from community-acquired pneumonia (CAP) and other lung diseases ... CovidCTNet increases the accuracy of CT imaging detection to 90% compared to radiologists...
  • FraudDroid

  • Referenced in 1 article [sw33525]
  • literature have mainly focused on detecting the so-called static placement frauds, where only ... research community. We then propose, FraudDroid, a novel hybrid approach to detect ad frauds...
  • ICGE

  • Referenced in 1 article [sw23444]
  • variables, usually found by applied biomedical researchers; detect whether the data have a cluster structure ... very useful to a broad research community...