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    Online utility-driven spatially-referenced data collector for classification
    5.
    发明授权
    Online utility-driven spatially-referenced data collector for classification 有权

    公开(公告)号：US11267128B2

    公开(公告)日：2022-03-08

    申请号：US16406626

    申请日：2019-05-08

    申请人： International Business Machines Corporation

    发明人： Dario Augusto Borges Oliveira ,  Andrea Britto Mattos Lima ,  Priscilla Barreira Avegliano ,  Carlos Henrique Cardonha

    IPC分类号： B25J9/00 ,  B25J9/16 ,  G06K9/62

    摘要： Data associated with a region, acquired by a robot may be passed to a previously trained classifier. The classifier outputs a classification label L, and a confidence score C. Responsive to determining that the confidence score C is below a threshold T, the acquired data can be added to a training data set associated with the classifier, and the classifier retrained using the training data set which include at least information from the acquired data. Responsive to determining that the confidence score C is below the threshold T, at least one candidate region having characteristic similarity to the region can be identified. Responsive to determining that the confidence score C is not below the threshold T, at least one candidate region having a different characteristic from the region can be identified. The robot may be caused to acquire data associated with the candidate region.

    Coordinating activities responsive to physiologic signals
    7.
    发明授权
    Coordinating activities responsive to physiologic signals 有权

    公开(公告)号：US10898119B2

    公开(公告)日：2021-01-26

    申请号：US15988520

    申请日：2018-05-24

    申请人： International Business Machines Corporation

    发明人： Priscilla Barreira Avegliano ,  Carlos Henrique Cardonha ,  Lucas Correia Villa Real ,  Juliana de Melo Batista dos Santos

    IPC分类号： A61B5/00 ,  A61B5/16 ,  G06N5/04 ,  G16H50/30 ,  A61B5/11 ,  G06N20/00

    摘要： A method for coordinating activities includes monitoring physiologic signals and movement signals from a plurality of individuals, and learning at least one baseline for each of the plurality of individuals from the physiologic stress signals and the movement signals. The method further includes comparing the individual's physiologic signals to their baseline, determining a current activity for each individual, and learning correlations between current activities and sequences of activities and estimated divergences of the physiologic signals from baseline. The method also includes determining prospective activities for each individual, identifying at least one prospective shared activity among two or more individuals, estimating prospective divergences of the physiologic signals associated with the prospective shared activity, and mitigating the prospective divergences of the physiologic signals by controlling the scheduling component to adjust a schedule of the at least one prospective shared activity.

    DETECTING FRAUDULENT MOBILE PAYMENTS
    10.
    发明申请
    DETECTING FRAUDULENT MOBILE PAYMENTS 审中-公开
    检测欺诈手机支付

    公开(公告)号：US20150269577A1

    公开(公告)日：2015-09-24

    申请号：US14218336

    申请日：2014-03-18

    申请人： International Business Machines Corporation

    发明人： Priscilla Barreira Avegliano ,  Silvia Cristina Sardela Bianchi ,  Carlos Henrique Cardonha ,  Vagner Figueredo de Santana

    IPC分类号： G06Q20/40 ,  G06Q20/32

    CPC分类号： G06Q20/4016 ,  G06Q20/322

    摘要： A method for processing an attempted payment made using a mobile device includes receiving information about the attempted payment, receiving data indicative of a behavior of a user of the mobile device at the time of the attempted payment, computing a likelihood that the attempted payment is fraudulent, based on a comparison of the behavior of the user to an historical behavior pattern of the user, and sending an instruction indicating how to proceed with the attempted payment, based on the likelihood.

    摘要翻译： 用于处理使用移动设备进行的尝试支付的方法包括接收关于所尝试的支付的信息，在尝试的支付时接收指示移动设备的用户的行为的数据，计算尝试的付款是欺诈的可能性 基于用户的行为与用户的历史行为模式的比较，并且基于可能性发送指示如何继续尝试的支付的指令。