Patents by Inventor Israel Oliveira
Israel Oliveira 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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Publication number: 20250068651Abstract: A method of latent intent clustering is provided. The method comprises encoding identified features in a number of electronic user reports in a database. A binary matrix is created, wherein each row of the binary matric represents a different report and each column represents a different available feature. A 1 is placed in each cell of the matrix that matches a feature present in a user report. Cosine similarities are calculated for the user reports, and a similarity matrix is created, wherein each row and column of the binary matrix represents a different report, and wherein the cosine similarities of the reports are placed in corresponding cells of the matrix. The reports are clustered according to the cosine similarities. Features common to reports in each cluster are identified, and an intent of each report cluster is labeled according to the common features.Type: ApplicationFiled: June 24, 2024Publication date: February 27, 2025Applicant: ADP, Inc.Inventors: Leandro Bianchini, Renata Palazzo, Israel Oliveira, Allan Barcelos, Fernanda Tosca
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Patent number: 12019656Abstract: A method of latent intent clustering is provided. The method comprises encoding identified features in a number of electronic user reports in a database. A binary matrix is created, wherein each row of the binary matric represents a different report and each column represents a different available feature. A 1 is placed in each cell of the matrix that matches a feature present in a user report. Cosine similarities are calculated for the user reports, and a similarity matrix is created, wherein each row and column of the binary matrix represents a different report, and wherein the cosine similarities of the reports are placed in corresponding cells of the matrix. The reports are clustered according to the cosine similarities. Features common to reports in each cluster are identified, and an intent of each report cluster is labeled according to the common features.Type: GrantFiled: March 23, 2023Date of Patent: June 25, 2024Assignee: ADP, Inc.Inventors: Leandro Bianchini, Renata Palazzo, Israel Oliveira, Allan Barcelos, Fernanda Tosca
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Publication number: 20240037003Abstract: A method of sparse intent clustering is provided. The method comprises identifying features in a number of electronic user reports created by a user and contained in a database, wherein the features include a title and description. The features of each user report are encoded into a binary vector. The binary vector for each user report is fed into an autoencoder neural network that creates a N-dimensional vector representing the user report. The float vectors representing the user reports are projected into a N-dimensional space. The float vectors are clustered according to cosine similarities, wherein each vector cluster represents an intent of the user in creating the reports. The intent of each vector cluster is then labeled.Type: ApplicationFiled: October 2, 2023Publication date: February 1, 2024Applicant: ADP, Inc.Inventors: Allan Barcelos, Fernanda Tosca, Israel Oliveira, Leandro Bianchini, Renata Palazzo
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Patent number: 11775408Abstract: A method of sparse intent clustering is provided. The method comprises identifying features in a number of electronic user reports created by a user and contained in a database, wherein the features include a title and description. The features of each user report are encoded into a binary vector. The binary vector for each user report is fed into an autoencoder neural network that creates a N-dimensional vector representing the user report. The float vectors representing the user reports are projected into a N-dimensional space. The float vectors are clustered according to cosine similarities, wherein each vector cluster represents an intent of the user in creating the reports. The intent of each vector cluster is then labeled.Type: GrantFiled: August 3, 2020Date of Patent: October 3, 2023Assignee: ADP, INC.Inventors: Allan Barcelos, Fernanda Tosca, Israel Oliveira, Leandro Bianchini, Renata Palazzo
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Publication number: 20230297598Abstract: A method of latent intent clustering is provided. The method comprises encoding identified features in a number of electronic user reports in a database. A binary matrix is created, wherein each row of the binary matric represents a different report and each column represents a different available feature. A 1 is placed in each cell of the matrix that matches a feature present in a user report. Cosine similarities are calculated for the user reports, and a similarity matrix is created, wherein each row and column of the binary matrix represents a different report, and wherein the cosine similarities of the reports are placed in corresponding cells of the matrix. The reports are clustered according to the cosine similarities. Features common to reports in each cluster are identified, and an intent of each report cluster is labeled according to the common features.Type: ApplicationFiled: March 23, 2023Publication date: September 21, 2023Applicant: ADP, Inc.Inventors: Leandro Bianchini, Renata Palazzo, Israel Oliveira, Allan Barcelos, Fernanda Tosca
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Publication number: 20230289838Abstract: Analyzing chatbot/employee dialogs is provided. An analysis of a dialog between a chatbot manager and a plurality of employees regarding a current corporate topic is performed using an artificial intelligence component. Relevant information regarding the current corporate topic is extracted from the dialog based on the analysis. Insights corresponding to the relevant information regarding the current corporate topic are generated using the artificial intelligence component. The relevant information regarding the current corporate topic and the insights are displayed in a dashboard on a client device of a human resource agent.Type: ApplicationFiled: May 16, 2023Publication date: September 14, 2023Applicant: ADP, Inc.Inventors: Israel Oliveira, Cristian Basilio, Douglas Parnoff, Leandro Pereira
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Publication number: 20230281188Abstract: A method, computer system, and computer program product are provided for generating reports. Existing reports are collected and modeled to determine a number of contexts. An index of the existing reports is generated according the contexts determined by the modeling. a predicted context of a new report is predicted according to the modeling. According to the index, suggested reports are identified based on the predicted context for the new report. The suggested reports are presented in a graphical user interface.Type: ApplicationFiled: February 16, 2023Publication date: September 7, 2023Applicant: ADP, INC.Inventors: Israel Oliveira, Allan Barcelos, Renata Palazzo, Leandro Bianchini, Fernanda Tosca
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Patent number: 11343092Abstract: A method of biometric signature. The method comprises receiving a biometric data input from a user and generating a digital artifact from the biometric data input. N private keys are generated from the digital artifact. Upon receiving input of a document, a hash of the document is generated. In response to receiving a signature from the user on the document, the hash is encrypted with each private key to create an encrypted hash with N encrypted keys. The encrypted hash and N encrypted keys are stored in a database.Type: GrantFiled: June 18, 2020Date of Patent: May 24, 2022Assignee: ADP, Inc.Inventors: Israel Oliveira, Cristian Basilio, Douglas Parnoff, Leandro Pereira
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Publication number: 20220083568Abstract: A method of latent intent clustering is provided. The method comprises encoding identified features in a number of electronic user reports in a database. A binary matrix is created, wherein each row of the binary matric represents a different report and each column represents a different available feature. A 1 is placed in each cell of the matrix that matches a feature present in a user report. Cosine similarities are calculated for the user reports, and a similarity matrix is created, wherein each row and column of the binary matrix represents a different report, and wherein the cosine similarities of the reports are placed in corresponding cells of the matrix. The reports are clustered according to the cosine similarities. Features common to reports in each cluster are identified, and an intent of each report cluster is labeled according to the common features.Type: ApplicationFiled: September 15, 2020Publication date: March 17, 2022Inventors: Leandro Bianchini, Renata Palazzo, Israel Oliveira, Allan Barcelos, Fernanda Tosca
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Publication number: 20220076283Abstract: Analyzing chatbot/employee dialogs is provided. An analysis of a dialog between a chatbot manager and a plurality of employees regarding a current corporate topic is performed using an artificial intelligence component. Relevant information regarding the current corporate topic is extracted from the dialog based on the analysis. Insights corresponding to the relevant information regarding the current corporate topic are generated using the artificial intelligence component. The relevant information regarding the current corporate topic and the insights are displayed in a dashboard on a client device of a human resource agent.Type: ApplicationFiled: September 10, 2020Publication date: March 10, 2022Inventors: Israel Oliveira, Cristian Basilio, Douglas Parnoff, Leandro Pereira
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Publication number: 20220035722Abstract: A method of sparse intent clustering is provided. The method comprises identifying features in a number of electronic user reports created by a user and contained in a database, wherein the features include a title and description. The features of each user report are encoded into a binary vector. The binary vector for each user report is fed into an autoencoder neural network that creates a N-dimensional vector representing the user report. The float vectors representing the user reports are projected into a N-dimensional space. The float vectors are clustered according to cosine similarities, wherein each vector cluster represents an intent of the user in creating the reports. The intent of each vector cluster is then labeled.Type: ApplicationFiled: August 3, 2020Publication date: February 3, 2022Inventors: Allan Barcelos, Fernanda Tosca, Israel Oliveira, Leandro Bianchini, Renata Palazzo
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Publication number: 20220035795Abstract: A method, computer system, and computer program product are provided for generating reports. Existing reports are collected and modeled to determine a number of contexts. An index of the existing reports is generated according the contexts determined by the modeling. a predicted context of a new report is predicted according to the modeling. According to the index, suggested reports are identified based on the predicted context for the new report. The suggested reports are presented in a graphical user interface.Type: ApplicationFiled: August 3, 2020Publication date: February 3, 2022Inventors: Israel Oliveira, Allan Barcelos, Renata Palazzo, Leandro Bianchini, Fernanda Tosca
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Publication number: 20210399887Abstract: A method of biometric signature. The method comprises receiving a biometric data input from a user and generating a digital artifact from the biometric data input. N private keys are generated from the digital artifact. Upon receiving input of a document, a hash of the document is generated. In response to receiving a signature from the user on the document, the hash is encrypted with each private key to create an encrypted hash with N encrypted keys. The encrypted hash and N encrypted keys are stored in a database.Type: ApplicationFiled: June 18, 2020Publication date: December 23, 2021Inventors: Israel Oliveira, Cristian Basilio, Douglas Parnoff, Leandro Pereira