Patents by Inventor Alessandra Pascale

Alessandra Pascale 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: 11847132
    Abstract: Embodiments facilitating data exploration in a computing environment by a processor. A multidimensional dataset may be received. The multidimensional dataset may be processed according to booting operation parameters. A visualization and exploration of an interactive representation of one or more probabilistic models using multidimensional dataset.
    Type: Grant
    Filed: September 3, 2019
    Date of Patent: December 19, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Pierpaolo Tommasi, Alessandra Pascale, Stephane Deparis
  • Patent number: 11741123
    Abstract: Embodiments facilitating data exploration in a computing environment by a processor. A multidimensional dataset may be received. The multidimensional dataset may be processed according to booting operation parameters. A visualization and exploration of an interactive representation of one or more probabilistic models for each one of a set of instances using the multidimensional dataset.
    Type: Grant
    Filed: November 9, 2021
    Date of Patent: August 29, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Pierpaolo Tommasi, Stephane Deparis, Alessandra Pascale
  • Publication number: 20230147643
    Abstract: Embodiments facilitating data exploration in a computing environment by a processor. A multidimensional dataset may be received. The multidimensional dataset may be processed according to booting operation parameters. A visualization and exploration of an interactive representation of one or more probabilistic models for each one of a set of instances using the multidimensional dataset.
    Type: Application
    Filed: November 9, 2021
    Publication date: May 11, 2023
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Pierpaolo TOMMASI, Stephane DEPARIS, Alessandra PASCALE
  • Patent number: 11646116
    Abstract: A neural network is trained with patient historical data including features of patient pathways and labels characterizing a type of the patient pathways. During a runtime phase, the trained neural network matches a current patient profile with the patient historical data to extract selected portions of clinical practice guidelines (CPGs) identified according to one or more generated CPG models, the patient pathway models, and the current patient profile.
    Type: Grant
    Filed: March 22, 2019
    Date of Patent: May 9, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Natalia Mulligan, Marco Luca Sbodio, Alessandra Pascale, Joao Bettencourt-Silva
  • Patent number: 11630649
    Abstract: Various embodiments are provided for providing intelligent library management in a computing environment by a processor. Application compatibility may be learned from a plurality of projects, repositories, application libraries, data sources, or a combination thereof. A list of recommended application libraries, ordered according to the application compatibility, may be automatically provided for implementation, integration, or replacements of one or more sections of an application library.
    Type: Grant
    Filed: June 2, 2020
    Date of Patent: April 18, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Pierpaolo Tommasi, Debasis Ganguly, Stephane Deparis, Alessandra Pascale
  • Publication number: 20220188693
    Abstract: A method, a computer system, and a computer program product for creating multiple models asynchronously is provided. Embodiments of the present invention may include receiving input data, wherein input data includes a full training dataset. Embodiments of the present invention may include building, asynchronously, one or more Bayesian network models using one or more portions of the input data on a first pipeline and building a free learning model using the full training dataset on a second pipeline. Embodiments of the present invention may include retrieving the one or more Bayesian network models from the first pipeline. Embodiments of the present invention may include retrieving the free learning model from the second pipeline.
    Type: Application
    Filed: December 15, 2020
    Publication date: June 16, 2022
    Inventors: Pierpaolo Tommasi, Debasis Ganguly, Stephane Deparis, Alessandra Pascale
  • Publication number: 20220180224
    Abstract: Content can be dynamically associated to an annotator based on machine learning of annotator expertise and dynamically maintaining a set of labels and relationships among the labels. A probable group of labels associated with the content can be determined by a first machine learning model. Using a set of labels and relationships among the set of labels maintained dynamically, a second machine learning model can select an annotator having subject matter expertise associated with the probable group of labels. The first machine learning model and the second machine learning model can be retrained based on annotations performed on the content by the annotator as feedback. A third machine learning model can dynamically maintain the set of labels and the relationships among the set of labels.
    Type: Application
    Filed: December 4, 2020
    Publication date: June 9, 2022
    Inventors: Pierpaolo Tommasi, Charles Arthur Jochim, Joao H Bettencourt-Silva, Alessandra Pascale
  • Patent number: 11221923
    Abstract: Various embodiments are provided for implementing intelligent backup plan creation by a processor in a computing environment. One or more files or directories managed by one or more file hosting services, cloud computing services, or a combination thereof may be identified from among a plurality of files or directories associated with a backup plan. A backup operation may be performed according to the backup plan by only referencing as opposed to including entire content of the one or more files or directories that are managed by the one or more file hosting services, the cloud computing services, or a combination thereof.
    Type: Grant
    Filed: February 5, 2019
    Date of Patent: January 11, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Alessandra Pascale, Sebastian Lehrig, Pierpaolo Tommasi, Marco Luca Sbodio
  • Publication number: 20210374558
    Abstract: Various embodiments are provided for providing intelligent library management in a computing environment by a processor. Application compatibility may be learned from a plurality of projects, repositories, application libraries, data sources, or a combination thereof. A list of recommended application libraries, ordered according to the application compatibility, may be automatically provided for implementation, integration, or replacements of one or more sections of an application library.
    Type: Application
    Filed: June 2, 2020
    Publication date: December 2, 2021
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Pierpaolo TOMMASI, Debasis GANGULY, Stephane DEPARIS, Alessandra PASCALE
  • Publication number: 20210064635
    Abstract: Embodiments facilitating data exploration in a computing environment by a processor. A multidimensional dataset may be received. The multidimensional dataset may be processed according to booting operation parameters. A visualization and exploration of an interactive representation of one or more probabilistic models using multidimensional dataset.
    Type: Application
    Filed: September 3, 2019
    Publication date: March 4, 2021
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Pierpaolo TOMMASI, Alessandra PASCALE, Stephane DEPARIS
  • Patent number: 10832583
    Abstract: Embodiments for targeted learning and recruitment by a processor. Attributes obtained from a user profile are used to identify a user as a potential candidate for performing an activity related to either the recruiting or the learning and providing a customized learning experience with targeted course suggestions for the user.
    Type: Grant
    Filed: September 23, 2016
    Date of Patent: November 10, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Eric P. Bouillet, Francesco Calabrese, Bissan Ghaddar, Alessandra Pascale, Martin J. Stephenson
  • Publication number: 20200303069
    Abstract: Embodiments for implementing intelligent clinical practice guidelines by a processor. Selected portions of clinical practice guidelines (CPGs) may be identified according to one or more CPG models, patient pathway models, and current patient profile.
    Type: Application
    Filed: March 22, 2019
    Publication date: September 24, 2020
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Natalia MULLIGAN, Marco Luca SBODIO, Alessandra PASCALE, Joao BETTENCOURT-SILVA
  • Publication number: 20200250047
    Abstract: Various embodiments are provided for implementing intelligent backup plan creation by a processor in a computing environment. One or more files or directories managed by one or more file hosting services, cloud computing services, or a combination thereof may be identified from among a plurality of files or directories associated with a backup plan. A backup operation may be performed according to the backup plan by only referencing as opposed to including entire content of the one or more files or directories that are managed by the one or more file hosting services, the cloud computing services, or a combination thereof.
    Type: Application
    Filed: February 5, 2019
    Publication date: August 6, 2020
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Alessandra PASCALE, Sebastian LEHRIG, Pierpaolo TOMMASI, Marco Luca SBODIO
  • Publication number: 20200082290
    Abstract: Techniques that facilitate adaptive anonymization of data using statistical inference are provided. In one example, a system includes an anonymization component and a statistical learning component. The anonymization component applies an anonymization strategy to data associated with an electronic device. The statistical learning component modifies the anonymization strategy to generate an updated anonymization strategy for the data based on a machine learning process associated with a probabilistic model that represents the data.
    Type: Application
    Filed: September 11, 2018
    Publication date: March 12, 2020
    Inventors: Alessandra Pascale, Naoise Holohan, Pierpaolo Tommasi, Stephane Deparis
  • Patent number: 10304328
    Abstract: A diagnosis system for an adaptive signal control system in a network, the diagnosis system including a traffic state identification device configured to estimate a traffic state describing a supply-demand mismatch by identifying a relationship between real time data feed from a sensor and a control strategy of the adaptive signal control system and a network transition model device configured to diagnose the supply-demand mismatch and an evolution of the supply-demand mismatch on a network level based on the relationship and infrastructure data of the network.
    Type: Grant
    Filed: October 24, 2017
    Date of Patent: May 28, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Eric P. Bouillet, Thanh Lam Hoang, Rahul Nair, Alessandra Pascale
  • Publication number: 20180090022
    Abstract: Embodiments for targeted learning and recruitment by a processor. Attributes obtained from a user profile are used to identify a user as a potential candidate for performing an activity related to either the recruiting or the learning and providing a customized learning experience with targeted course suggestions for the user.
    Type: Application
    Filed: September 23, 2016
    Publication date: March 29, 2018
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Eric P. BOUILLET, Francesco CALABRESE, Bissan GHADDAR, Alessandra PASCALE, Martin J. STEPHENSON
  • Publication number: 20180068557
    Abstract: A diagnosis system for an adaptive signal control system in a network, the diagnosis system including a traffic state identification device configured to estimate a traffic state describing a supply-demand mismatch by identifying a relationship between real time data feed from a sensor and a control strategy of the adaptive signal control system and a network transition model device configured to diagnose the supply-demand mismatch and an evolution of the supply-demand mismatch on a network level based on the relationship and infrastructure data of the network.
    Type: Application
    Filed: October 24, 2017
    Publication date: March 8, 2018
    Inventors: Eric P. Bouillet, Thanh Lam Hoang, Rahul Nair, Alessandra Pascale
  • Patent number: 9836960
    Abstract: A diagnosis system for an adaptive signal control system in a network, the diagnosis system including a traffic state identification device configured to estimate a traffic state describing a supply-demand mismatch by identifying a relationship between real time data feed from a sensor and a control strategy of said adaptive signal control system and a network transition model device configured to diagnose the supply-demand mismatch and an evolution of the supply-demand mismatch on a network level based on said relationship and infrastructure data of the network.
    Type: Grant
    Filed: August 23, 2016
    Date of Patent: December 5, 2017
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Eric P. Bouillet, Thanh Lam Hoang, Rahul Nair, Alessandra Pascale
  • Publication number: 20170061786
    Abstract: A diagnosis system for an adaptive signal control system in a network, the diagnosis system including a traffic state identification device configured to estimate a traffic state describing a supply-demand mismatch by identifying a relationship between real time data feed from a sensor and a control strategy of said adaptive signal control system and a network transition model device configured to diagnose the supply-demand mismatch and an evolution of the supply-demand mismatch on a network level based on said relationship and infrastructure data of the network.
    Type: Application
    Filed: August 23, 2016
    Publication date: March 2, 2017
    Inventors: Eric P. Bouillet, Thanh Lam Hoang, Rahul Nair, Alessandra Pascale
  • Patent number: 9483938
    Abstract: A diagnosis system for an adaptive signal control system in a network, the diagnosis system including a traffic state identification device configured to estimate a traffic state describing a supply-demand mismatch by identifying a relationship between real time data feed from a sensor and a control strategy of said adaptive signal control system and a network transition model device configured to diagnose the supply-demand mismatch and an evolution of the supply-demand mismatch on a network level based on said relationship and infrastructure data of the network.
    Type: Grant
    Filed: August 28, 2015
    Date of Patent: November 1, 2016
    Assignee: International Business Machines Corporation
    Inventors: Eric P. Bouillet, Thanh Lam Hoang, Rahul Nair, Alessandra Pascale