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).
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Patent number: 11847132Abstract: 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: GrantFiled: September 3, 2019Date of Patent: December 19, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Pierpaolo Tommasi, Alessandra Pascale, Stephane Deparis
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Patent number: 11741123Abstract: 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: GrantFiled: November 9, 2021Date of Patent: August 29, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Pierpaolo Tommasi, Stephane Deparis, Alessandra Pascale
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Publication number: 20230147643Abstract: 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: ApplicationFiled: November 9, 2021Publication date: May 11, 2023Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Pierpaolo TOMMASI, Stephane DEPARIS, Alessandra PASCALE
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Patent number: 11646116Abstract: 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: GrantFiled: March 22, 2019Date of Patent: May 9, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Natalia Mulligan, Marco Luca Sbodio, Alessandra Pascale, Joao Bettencourt-Silva
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Patent number: 11630649Abstract: 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: GrantFiled: June 2, 2020Date of Patent: April 18, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Pierpaolo Tommasi, Debasis Ganguly, Stephane Deparis, Alessandra Pascale
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Publication number: 20220188693Abstract: 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: ApplicationFiled: December 15, 2020Publication date: June 16, 2022Inventors: Pierpaolo Tommasi, Debasis Ganguly, Stephane Deparis, Alessandra Pascale
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Publication number: 20220180224Abstract: 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: ApplicationFiled: December 4, 2020Publication date: June 9, 2022Inventors: Pierpaolo Tommasi, Charles Arthur Jochim, Joao H Bettencourt-Silva, Alessandra Pascale
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Patent number: 11221923Abstract: 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: GrantFiled: February 5, 2019Date of Patent: January 11, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Alessandra Pascale, Sebastian Lehrig, Pierpaolo Tommasi, Marco Luca Sbodio
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Publication number: 20210374558Abstract: 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: ApplicationFiled: June 2, 2020Publication date: December 2, 2021Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Pierpaolo TOMMASI, Debasis GANGULY, Stephane DEPARIS, Alessandra PASCALE
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Publication number: 20210064635Abstract: 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: ApplicationFiled: September 3, 2019Publication date: March 4, 2021Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Pierpaolo TOMMASI, Alessandra PASCALE, Stephane DEPARIS
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Patent number: 10832583Abstract: 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: GrantFiled: September 23, 2016Date of Patent: November 10, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Eric P. Bouillet, Francesco Calabrese, Bissan Ghaddar, Alessandra Pascale, Martin J. Stephenson
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Publication number: 20200303069Abstract: 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: ApplicationFiled: March 22, 2019Publication date: September 24, 2020Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Natalia MULLIGAN, Marco Luca SBODIO, Alessandra PASCALE, Joao BETTENCOURT-SILVA
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Publication number: 20200250047Abstract: 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: ApplicationFiled: February 5, 2019Publication date: August 6, 2020Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Alessandra PASCALE, Sebastian LEHRIG, Pierpaolo TOMMASI, Marco Luca SBODIO
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Publication number: 20200082290Abstract: 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: ApplicationFiled: September 11, 2018Publication date: March 12, 2020Inventors: Alessandra Pascale, Naoise Holohan, Pierpaolo Tommasi, Stephane Deparis
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Patent number: 10304328Abstract: 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: GrantFiled: October 24, 2017Date of Patent: May 28, 2019Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Eric P. Bouillet, Thanh Lam Hoang, Rahul Nair, Alessandra Pascale
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Publication number: 20180090022Abstract: 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: ApplicationFiled: September 23, 2016Publication date: March 29, 2018Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Eric P. BOUILLET, Francesco CALABRESE, Bissan GHADDAR, Alessandra PASCALE, Martin J. STEPHENSON
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Publication number: 20180068557Abstract: 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: ApplicationFiled: October 24, 2017Publication date: March 8, 2018Inventors: Eric P. Bouillet, Thanh Lam Hoang, Rahul Nair, Alessandra Pascale
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Patent number: 9836960Abstract: 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: GrantFiled: August 23, 2016Date of Patent: December 5, 2017Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Eric P. Bouillet, Thanh Lam Hoang, Rahul Nair, Alessandra Pascale
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Publication number: 20170061786Abstract: 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: ApplicationFiled: August 23, 2016Publication date: March 2, 2017Inventors: Eric P. Bouillet, Thanh Lam Hoang, Rahul Nair, Alessandra Pascale
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Patent number: 9483938Abstract: 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: GrantFiled: August 28, 2015Date of Patent: November 1, 2016Assignee: International Business Machines CorporationInventors: Eric P. Bouillet, Thanh Lam Hoang, Rahul Nair, Alessandra Pascale