Patents by Inventor Yevgeny E. Agichtein

Yevgeny E. Agichtein has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11633099
    Abstract: Disclosed are methods for diagnosing declarative memory loss using mouse tracking to follow the visual gaze of a subject taking a visual paired comparison test. Also disclosed are methods for diagnosing dementia such as mild cognitive impairment and Alzheimer's disease.
    Type: Grant
    Filed: May 29, 2020
    Date of Patent: April 25, 2023
    Assignee: EMORY UNIVERSITY
    Inventors: Yevgeny E. Agichtein, Elizabeth A. Buffalo, Dmitry Lagun, Cecelia Manzanares, Stuart Zola
  • Publication number: 20210076936
    Abstract: Disclosed are methods for diagnosing declarative memory loss using mouse tracking to follow the visual gaze of a subject taking a visual paired comparison test. Also disclosed are methods for diagnosing dementia such as mild cognitive impairment and Alzheimer's disease.
    Type: Application
    Filed: May 29, 2020
    Publication date: March 18, 2021
    Applicant: EMORY UNIVERSITY
    Inventors: Yevgeny E. Agichtein, Elizabeth A. Buffalo, Dmitry Lagun, Cecelia Manzanares, Stuart Zola
  • Patent number: 10694942
    Abstract: Disclosed are methods for diagnosing declarative memory loss using mouse tracking to follow the visual gaze of a subject taking a visual paired comparison test. Also disclosed are methods for diagnosing dementia such as mild cognitive impairment and Alzheimer's disease.
    Type: Grant
    Filed: March 7, 2017
    Date of Patent: June 30, 2020
    Assignee: EMORY UNIVERSITY
    Inventors: Yevgeny E. Agichtein, Elizabeth A. Buffalo, Dmitry Lagun, Cecelia Manzanares, Stuart Zola
  • Publication number: 20170273555
    Abstract: Disclosed are methods for diagnosing declarative memory loss using mouse tracking to follow the visual gaze of a subject taking a visual paired comparison test. Also disclosed are methods for diagnosing dementia such as mild cognitive impairment and Alzheimer's disease.
    Type: Application
    Filed: March 7, 2017
    Publication date: September 28, 2017
    Inventors: Yevgeny E. Agichtein, Elizabeth A. Buffalo, Dmitry Lagun, Cecelia Manzanares, Stuart Zola
  • Patent number: 9629543
    Abstract: Disclosed are methods for diagnosing declarative memory loss using mouse tracking to follow the visual gaze of a subject taking a visual paired comparison test. Also disclosed are methods for diagnosing dementia such as mild cognitive impairment and Alzheimer's disease.
    Type: Grant
    Filed: February 26, 2010
    Date of Patent: April 25, 2017
    Assignee: Emory University
    Inventors: Yevgeny E. Agichtein, Elizabeth A. Buffalo, Dmitry Lagun, Cecelia Manzanares, Stuart Zola
  • Publication number: 20150242447
    Abstract: Systems and methods are disclosed for targeting effective contributors and identifying high quality contributions. For example, a method may include displaying an advertisement to a potential contributor via an advertising platform, receiving an indication that the potential contributor responded to the advertisement, generating a crowdsourcing exercise that is presented to the contributor, receiving a response (a conversion event) from the contributor to the crowdsourcing exercise, and notifying the advertising platform about the conversion event. As another example, a method may include determining a concept space for a new contribution, obtaining previously correct and incorrect contributions of the contributor in the concept space, and determining an expertise confidence score for the new contribution based on a comparison of the new contribution with the previously correct and incorrect contributions.
    Type: Application
    Filed: April 3, 2014
    Publication date: August 27, 2015
    Applicant: GOOGLE INC.
    Inventors: Panagiotis Grigorios Ipeirotis, Evgeniy Gabrilovich, Chun How Tan, Yevgeny E. Agichtein
  • Publication number: 20120059282
    Abstract: Disclosed are methods for diagnosing declarative memory loss using mouse tracking to follow the visual gaze of a subject taking a visual paired comparison test. Also disclosed are methods for diagnosing dementia such as mild cognitive impairment and Alzheimer's disease.
    Type: Application
    Filed: February 26, 2010
    Publication date: March 8, 2012
    Applicant: EMORY UNIVERSITY
    Inventors: Yevgeny E. Agichtein, Elizabeth A. Buffalo, Dmitry Lagun, Cecelia Manzanares, Stuart Zola
  • Patent number: 7873624
    Abstract: Structured content and associated metadata from the Web are leveraged to provide specific answer string responses to user questions. The structured content can also be indexed at crawl-time to facilitate searching of the content at search-time. Ranking techniques can also be employed to facilitate in providing an optimum answer string and/or a top K list of answer strings for a query. Ranking can be based on trainable algorithms that utilize feature vectors for candidate answer strings. In one instance, at crawl-time, structured content is indexed and automatically associated with metadata relating to the structured content and the source web page. At search-time, candidate indexed structured content is then utilized to extract an appropriate answer string in response to a user query.
    Type: Grant
    Filed: October 21, 2005
    Date of Patent: January 18, 2011
    Assignee: Microsoft Corporation
    Inventors: Yevgeny E. Agichtein, Christopher J. Burges, Eric D. Brill
  • Patent number: 7472096
    Abstract: The subject disclosure pertains to systems and methods for training machine learning systems. Many cost functions are not smooth or differentiable and cannot easily be used during training of a machine learning system. The machine learning system can include a set of estimated gradients based at least in part upon the ranked or sorted results generated by the learning system. The estimated gradients can be selected to reflect the requirements of a cost function and utilized instead of the cost function to determine or modify the parameters of the learning system during training of the learning system.
    Type: Grant
    Filed: December 16, 2005
    Date of Patent: December 30, 2008
    Assignee: Microsoft Corporation
    Inventors: Christopher J. Burges, Yevgeny E. Agichtein
  • Publication number: 20080005095
    Abstract: The subject disclosure pertains to scrutinizing results generated or otherwise provided by a computer. A mechanism is provided that enables users to validate computer-based information. Users can receive a validity metric associated with computer generated or provided results indicative of the veracity of such results. Validation systems and methods are disclosed to facilitate determining the veracity of results including those that employ humans (e.g., referrals, voting . . . ) and/or automated means (e.g., source analysis, data mining . . . ). The disclosure also provides a mechanism for guiding computer searches (e.g., web, Internet, intranet . . . ). Machine learning and reasoning mechanisms are employed together with a search engine to facilitate intelligent guidance of queries and results based on a query and responses to computer generated inquires.
    Type: Application
    Filed: June 28, 2006
    Publication date: January 3, 2008
    Applicant: MICROSOFT CORPORATION
    Inventors: Eric J. Horvitz, William H. Gates, Joshua T. Goodman, Bradly A. Brunell, Gary Flake, Oliver Hurst-Hiller, Kenneth A. Moss, Raymond E. Ozzie, John C. Platt, Yevgeny E. Agichtein, Eric D. Brill, Robert J. Ragno, Matthew R. Richardson