Abstract: A method and system for remote diagnosis of a congestive heart failure in humans is presented. The method includes receiving a facial image of a patient, wherein the facial image is retrieved from a data store and captured from the patient; extracting, from the facial image, at least one facial feature indicative of a heart condition; classifying the extracted at least one facial feature using a classifier, wherein the classifier maps a plurality of candidate facial features to a plurality of scores indicating a stage of the heart condition; and determining a positive diagnosis and the stage of the heart condition of the patient based on the plurality of scores.

Abstract: A system and method for optimizing media targeting for placement of digital advertisements. The method includes creating, based on a performance goal and historical data, a first dynamic category version that includes at least one category attribute; identifying at least one first matching advertisement (ad) request based on the first dynamic category version, wherein the at least one first matching ad request is bid on for placement of advertisements; in response to the placement of advertisements, gathering feedback data on performance of served advertisements; identifying, based on the gathered feedback data, at least one potential category attribute; updating the first dynamic category version to create a second dynamic category version based on a portion of the identified at least one potential category attribute; and identifying at least one second matching ad request for bidding based on the second dynamic category version.

Abstract: A method and system for generating a classifier to classify facial images for cognitive disorder in humans. The system comprises receiving a labeled dataset including set of facial images, wherein each of the facial image is labeled depending on whether it represents a cognitive disorder condition; extracting, from each facial image in the set of facial images, at least one learning facial feature indicative of a cognitive disorder; and feeding the extracted facial features into a to produce a machine learning trained model to generate a classifier, wherein the classifier is generated and ready when the trained model includes enough facial features processed by a machine learning model.

Abstract: A method and system for enriching bid requests for real-time bidding on a digital advertisement placement are provided. The method comprises processing a received bid request to extract at least one data point, wherein the bid request is received from a website requesting placement of a digital advertisement; causing generation of at least one enriched data point based on the at least one extracted data point; and associating the at least one enriched data point with the received bid request to allow a refined real-time bidding on a placement of a digital advertisement in a webpage of the website in response to the bid on the received bid request.

Abstract: A method and system for remote diagnosis of a congestive heart failure in humans is presented. The method includes receiving a facial image of a patient, wherein the facial image is retrieved from a data store and captured from the patient; extracting, from the facial image, at least one facial feature indicative of a heart condition; classifying the extracted at least one facial feature using a classifier, wherein the classifier maps a plurality of candidate facial features to a plurality of scores indicating a stage of the heart condition; and determining a positive diagnosis and the stage of the heart condition of the patient based on the plurality of scores.

Abstract: A method and system for generating a classifier to classify facial images for cognitive disorder in humans. The system comprises receiving a labeled dataset including set of facial images, wherein each of the facial image is labeled depending on whether it represents a cognitive disorder condition; extracting, from each facial image in the set of facial images, at least one learning facial feature indicative of a cognitive disorder; and feeding the extracted facial features into a to produce a machine learning trained model to generate a classifier, wherein the classifier is generated and ready when the trained model includes enough facial features processed by a machine learning model.

Abstract: A method and system for remote diagnosis of a cognitive disorder in humans are provided. The system comprises receive, over a network, at least one facial image of a patient; extracting, from the at least one facial image, at least one facial feature indicative of a cognitive decline; classifying the at least one extracted facial feature using a classifier, wherein the classifier maps a plurality of candidate facial features to a score indicating a stage of a cognitive decline; and determining a positive diagnosis of a cognitive decline of the patient, based on the score provided by the classifier in response to the at least one extracted facial feature.

Abstract: A method and system for remote diagnosis of a cognitive disorder in humans are provided. The system comprises receive, over a network, at least one facial image of a patient; extracting, from the at least one facial image, at least one facial feature indicative of a cognitive decline; classifying the at least one extracted facial feature using a classifier, wherein the classifier maps a plurality of candidate facial features to a score indicating a stage of a cognitive decline; and determining a positive diagnosis of a cognitive decline of the patient, based on the score provided by the classifier in response to the at least one extracted facial feature.

Abstract: A system and method for generating recommendations for improving online advertising success of an image-based advertisement are provided. The method includes identifying at least one visual characteristic of the advertisement; classifying the advertisement into at least one advertisement category based on the identified at least one visual characteristic; analyzing a plurality of advertisements belonging to the at least one advertising category to identify at least one visual characteristic associated with successful advertisements; generating at least one recommendation for improving the image-based advertisement based on the identified at least one successful advertisement visual characteristic.

Abstract: A method and system for allowing targeted bidding for online advertisements are provided. The method includes causing an emulation of an emulated bidder for bidding on a placement of an advertisement in a webpage; receiving, from the emulated bidder, a current bid identifier associated with the placement; causing, in real-time, a comparison of the current bid identifier to at least one stored bid identifier, wherein each stored bid identifier is associated with stored target information; receiving target information of the webpage, wherein the received target information is identified based on the comparison, wherein the received target information is related to targeted advertising for the webpage; and sending the target information of the webpage to at least one other bidder that is bidding on the placement.

Abstract: A system and method for verifying ad-impressions of online advertisements are provided. The method includes receive an ad-impression; determining an impression source of the received ad-impression; comparing the determined impression source to a non-advertisement-serving web-source (NASW) list, wherein the NASW list contains at least one web-source that does not display online advertisements; determining whether the impression source matches a web-source listed in the NASW list; and upon determining a match, identifying the received ad-impression as fraudulent.

Abstract: A system and method for generating recommendations for improving online advertising success of an image-based advertisement are provided. The method includes identifying at least one visual characteristic of the advertisement; classifying the advertisement into at least one advertisement category based on the identified at least one visual characteristic; analyzing a plurality of advertisements belonging to the at least one advertising category to identify at least one visual characteristic associated with successful advertisements; generating at least one recommendation for improving the image-based advertisement based on the identified at least one successful advertisement visual characteristic.

Abstract: A method and system for criteria-based advertisement blocking are presented. The method comprises receiving blocking criteria of an advertisement to be displayed in a web page and information identifying the web page; analyzing the identifying information to determine at least one blocking factor associated with the web page, wherein the identifying information includes at least a uniform resource locator (URL) of the web page; determining, based on the at least one blocking factor, whether the blocking criteria have been met; and automatically blocking a display of the advertisement in the web page, when the blocking criteria have been met.

Abstract: Certain embodiments relate to identifying potentially fraudulent interactions with online content. An analytical application executed on a server or other computing device can identify first and second actives areas of an electronic content item that are distinguishable from one another based on a sensory indicator presented with the electronic content item. One or more actions may be performed in response to receiving inputs to the first active area or the second active area. The analytical application can receive inputs to the electronic content item from an entity. At least a subset of the inputs can include interactions that are received within the second active area rather than the first active area. The analytical application can determine that activity by the entity is anomalous based on the subset of the interactions being within the second active area rather than the first active area.

Abstract: A computerized method and system for cross-platform management of advertisement serving are provided. The method includes receiving a request for a first advertisement from a first user device; serving the first advertisement to the first user device; receiving a request for a second advertisement from a second user device; serving the second advertisement to the second user device, wherein each of the first advertisement and the second advertisement comprises an advertisement area and an engagement area; determining, based on the first advertisement and the second advertisement, if the first user device and the second user device are used by a same user; and generating at least an entry in a registrar of a database to associate the first user device and the second user device with the same user.

Abstract: A method and system for delivering a media asset to a plurality of destinations across a plurality of different media channels are provided. The method includes determining that the media asset is uploaded to at least one content source node; determining that a media plan associated with the media asset is uploaded to the at least one content source node; analyzing the media plan to determine the plurality of destinations for the media asset, the plurality of destinations are served through at least two different media channels; for each of the plurality of destinations, determining at least one transcoding scheme corresponding to the destination of the plurality of destinations; for each of the plurality of destinations, transcoding the media asset into a format compliant with properties of the at least one transcoding scheme; and delivering each transcoded media asset to the corresponding destination of the at least one transcoding scheme.

Abstract: A system and method for bidding on placement a video advertisement in an advertisement slot. The method includes receiving a bid request for placing an advertisement in an advertisement slot is received from a broadcaster, wherein the bid request is received immediately prior to a timing of the advertisement slot in a broadcast content; matching the bid request against different sets of bidding rules, wherein each set of bidding rules is defined by a different advertisement agency; computing a bidding score for each advertisement agency based on the matching to the bidding rules; selecting a winning bid based, in part, on bidding scores computed for each advertisement agency; and responding with the winning bid from the broadcaster.

Abstract: A method and system for centralized serving and verification of an advertising campaign are provided. The method includes generating a script based on at least verification parameters for the advertising campaign; generating a single tag programmed to initiate both serving and verification of an advertisement of the advertising campaign, wherein an instance of the single tag is embedded in each webpage selected to display an advertisement of the advertising campaign; upon reception of a call from a webpage selected to display an advertisement, selecting an advertisement to be placed in the webpage; and inserting a script to the advertisement, wherein the script causing the placement and verification of the advertisement in the web page, wherein the call is triggered by the instance of the single tag.

Abstract: A system and method for performing demographic verification of an advertising campaign are provided. The method comprises generating a demographic profile for each user in a group of users; analyzing demographic profiles of viewers of the advertising campaign to determine at least a campaign reach of the advertising campaign, wherein the viewers of the advertising campaign are a subset of the users in the group of users; comparing the determined demographic campaign reach to at least one target audience attribute defined in a media plan of the advertising campaign; and verifying at least a demographic campaign reach based on the comparison.

Abstract: A system and method for classifying a uniform resource locator (URL) is provided. A URL may be semantically analyzed to produce an analysis result. An advertisement-related classification parameter may be associated with the URL based on the analysis result. The classification parameter may be used in a real time bidding (RTB) process for advertising in a webpage associated with the URL.