Patents by Inventor Stefan A. G. Van Der Stockt

Stefan A. G. Van Der Stockt 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).

  • Publication number: 20220180055
    Abstract: Embodiments herein disclose computer-implemented methods, computer program products and computer systems for prioritizing and recommending social media interactions. The computer-implemented method may include one or more processors configured for obtaining first profile data corresponding to a first social media account and additional profile data corresponding to additional social media accounts; determining a first unique identifier based on the first profile data and additional unique identifiers based on each respective additional profile data; determining overlap scores between the first unique identifier and each of the additional unique identifiers; prioritizing the additional social media accounts based on a first order of priority; and displaying the additional social media accounts based on the first order of priority on a user interface of a computing device associated with the first social media account.
    Type: Application
    Filed: December 9, 2020
    Publication date: June 9, 2022
    Inventors: Olivia Gulsvig, Stefan A.G. Van Der Stockt
  • Publication number: 20220147862
    Abstract: In an approach to creating explanatory confusion matrices, responsive to receiving a machine learning model for analysis, a confusion matrix is calculated for the machine learning model, where each cell in the confusion matrix has a corresponding set of data. A link is created from each cell in the confusion matrix to the corresponding set of data. Responsive to a user selecting in a user interface a specific cell of the confusion matrix, the corresponding set of data to the specific cell is displayed on the user interface.
    Type: Application
    Filed: November 10, 2020
    Publication date: May 12, 2022
    Inventors: Alex Swain, Stefan A. G. Van Der Stockt, Edward James Biddle, Daniel KUEHN
  • Patent number: 11321654
    Abstract: Methods, computer program products, and systems are presented for service cost prediction using machine learning. A claims risk model is formed for predicting a per member per month cost based on variables trained in early prediction models and variables of claim record data from data sources. A training dataset for the claims risk model is modified based on a preconfigured cap value and two distinctive datasets are generated, which trains the claims risk model into a capped submodel and an outlier submodel, respectively. Each submodel makes prediction of the per member per month cost and a slice model interpolates a cost predicted by the capped submodel and another predicted by the outlier submodel. The splice model redistributes the outcomes of the capped submodel and the outlier submodel.
    Type: Grant
    Filed: April 30, 2020
    Date of Patent: May 3, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Zhiyang Yu, Craig M. Trim, Stefan A. G. van Der Stockt
  • Patent number: 11310433
    Abstract: Gestural zoom operation of an imaging device is facilitated by receiving, by one or more processors, zoom configuration data of a user for configuring gestural zoom operation of the imaging device, where the imaging device includes a gestural zoom mode with a zoom function that is user-configurable, and by configuring for the user, by the one or more processors, the gestural zoom operation of the imaging device for the gestural zoom mode. The configuring uses the received zoom configuration data, and includes configuring the zoom function for the user and mapping a selected portion of the configured zoom function to a gestural range of the user of the imaging device.
    Type: Grant
    Filed: November 24, 2020
    Date of Patent: April 19, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Joel Russell Huffman, Stefan A. G. Van Der Stockt
  • Patent number: 11243853
    Abstract: Technology for determining an amount of time to wait to retry requests to a representational state transfer (REST) server system for a REST resource, where the time to wait is always chosen to be a prime number of time units (for example, slots, milliseconds). While currently conventional systems will sometimes use a prime number of time units to wait for a retry request, various embodiments of the present invention will always, and invariably, use a prime number of time units. The REST resource may be, for example, a REST application programming interface (API) that is requested by and delivered to a client system using hypertext transfer protocol (HTTP).
    Type: Grant
    Filed: November 26, 2019
    Date of Patent: February 8, 2022
    Assignee: International Business Machines Corporation
    Inventors: Stefan A. G. van Der Stockt, Joseph Lindsey Sharpe, III, Xinyun Zhao, Sihang Bob Fang, Manali Jairam Chanchlani, Rahul P. Akolkar, Sai Karthik Reddy Ginni, Kristi Farinelli
  • Publication number: 20210357802
    Abstract: A method, system, and computer program product for visualizing a machine learning model are provided. A confusion matrix and model performance metric data are received from a classification model. For each data point in the confusion matrix, a corresponding pixel is generated. The pixels are grouped into clusters. Each cluster represents a label in the confusion matrix. A centroid is generated for each cluster. Using the model performance metric data, a misclassification indicator arrow is generated for each misclassified data point. The misclassification indicator arrow indicates both the predicted class and the actual class. The clusters, the centroids, and the misclassification indicator arrow are displayed as a graphical visualization of the machine learning model.
    Type: Application
    Filed: May 12, 2020
    Publication date: November 18, 2021
    Inventors: ELLEN R. KOLSTO, Mark Marrara, Joel Russell Huffman, Stefan A. G. Van Der Stockt
  • Publication number: 20210342757
    Abstract: Methods, computer program products, and systems are presented for service cost prediction using machine learning. A claims risk model is formed for predicting a per member per month cost based on variables trained in early prediction models and variables of claim record data from data sources. A training dataset for the claims risk model is modified based on a preconfigured cap value and two distinctive datasets are generated, which trains the claims risk model into a capped submodel and an outlier submodel, respectively. Each submodel makes prediction of the per member per month cost and a slice model interpolates a cost predicted by the capped submodel and another predicted by the outlier submodel. The splice model redistributes the outcomes of the capped submodel and the outlier submodel.
    Type: Application
    Filed: April 30, 2020
    Publication date: November 4, 2021
    Inventors: Zhiyang YU, Craig M. TRIM, Stefan A. G. van Der Stockt
  • Publication number: 20210157688
    Abstract: Technology for determining an amount of time to wait to retry requests to a representational state transfer (REST) server system for a REST resource, where the time to wait is always chosen to be a prime number of time units (for example, slots, milliseconds). While currently conventional systems will sometimes use a prime number of time units to wait for a retry request, various embodiments of the present invention will always, and invariably, use a prime number of time units. The REST resource may be, for example, a REST application programming interface (API) that is requested by and delivered to a client system using hypertext transfer protocol (HTTP).
    Type: Application
    Filed: November 26, 2019
    Publication date: May 27, 2021
    Inventors: Stefan A.G. van Der Stockt, Joseph Lindsey Sharpe, III, Xinyun Zhao, Sihang Bob Fang, Manali Jairam Chanchlani, Rahul P. Akolkar, Sai Karthik Reddy Ginni, Kristi Farinelli
  • Patent number: 10893231
    Abstract: An approach is provided in which the approach initiates a video conference between a first user utilizing a first device and a second user utilizing a second device. The first device uses a camera positioned at a first set of coordinates to capture a first live video feed of the first user from a first alignment perspective, and also displays a second live video feed of the second user on the screen at a second set of coordinates. The approach manipulates the first live video feed such that the manipulated first live video feed captures the first user from a second alignment perspective corresponding to the second set of coordinates, and transmits the manipulated first live video feed to the second device.
    Type: Grant
    Filed: April 14, 2020
    Date of Patent: January 12, 2021
    Assignee: International Business Machines Corporation
    Inventors: Joel Russell Huffman, Stefan A. G. van Der Stockt
  • Publication number: 20200410324
    Abstract: A transitive closure data structure is constructed for a pair of features represented in a vector space corresponding to an input dataset. The data structure includes a set of entries corresponding to a set of all possible paths between a first feature in the pair and a second feature in the pair in a graph of the vector space. The data structure is reduced by removing a subset of the set of entries such that only a single entry corresponding to a single path remains in the transitive closure data structure. A feature cross is formed from a cluster of features remaining in a reduced ontology graph resulting from the reducing the transitive closure data structure. A layer is configured in a neural network to represent the feature cross, which causes the neural network to produce a prediction that is within a defined accuracy relative to the dataset.
    Type: Application
    Filed: June 28, 2019
    Publication date: December 31, 2020
    Applicant: International Business Machines Corporation
    Inventors: Craig M. Trim, Mary E. Rudden, Aaron K. Baughman, Stefan A.G. Van Der Stockt, Bernard Freund, Augustina Monica Ragwitz
  • Patent number: 10628931
    Abstract: A method and system for enhancing a facial image of a user in real time by digital generation of a portion of a facial image using artificial intelligence (AI) during a video conference with a plurality of participants. The method and system including receiving a digital image of a first portion of a user's face in real time from a camera viewing the first portion of the user's face. The camera is unable to view the second portion of the user's face. The method and system includes improving resolution and/or digitally completing the second portion of the user's facial image, using an AI system. The improving resolution including, receiving the digital image at the AI system which includes a Generative Adversarial Network (GAN). The method and system includes generating, in real time, a complete enhanced digital facial image of the user's face using the GAN.
    Type: Grant
    Filed: September 5, 2019
    Date of Patent: April 21, 2020
    Assignee: International Business Machines Corporation
    Inventors: Igor S. Ramos, Angelo Danducci, II, Stefan A. G. van Der Stockt, Marc Dickenson
  • Publication number: 20190386890
    Abstract: Approaches for optimizing network demand forecasting models and network topology using hyperparameter selection are provided. An approach includes defining a pool of features that are usable in models that predict demand of network resources, wherein the pool of features includes at least one historical forecasting feature and at least one event forecasting feature. The approach also includes generating, using a computer device, an optimal model using a subset of features selected from the pool of features. The approach further includes predicting future demand on a network using the optimal model. The approach additionally includes allocating resources in the network based on the predicted future demand.
    Type: Application
    Filed: August 28, 2019
    Publication date: December 19, 2019
    Inventors: Aaron K. BAUGHMAN, Brian M. O'CONNELL, Michael PERLITZ, Stefan A. G. VAN DER STOCKT
  • Patent number: 10439891
    Abstract: Approaches for optimizing network demand forecasting models and network topology using hyperparameter selection are provided. An approach includes defining a pool of features that are usable in models that predict demand of network resources, wherein the pool of features includes at least one historical forecasting feature and at least one event forecasting feature. The approach also includes generating, using a computer device, an optimal model using a subset of features selected from the pool of features. The approach further includes predicting future demand on a network using the optimal model. The approach additionally includes allocating resources in the network based on the predicted future demand.
    Type: Grant
    Filed: April 8, 2014
    Date of Patent: October 8, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Aaron K. Baughman, Brian M. O'Connell, Michael Perlitz, Stefan A. G. Van Der Stockt
  • Patent number: 9854645
    Abstract: Intelligent lighting is provided to motorists traveling down a stretch of road by sequentially turning on adjacent lighting devices in a lighting segment only when required, such as when vehicles are approaching the lighting devices, and turning off the lighting devices or decreasing a light intensity output of the lighting devices to a predefined minimum lighting intensity output level when no vehicles are present. In addition, which bulb to use in a multi-bulb lighting device is determined, as well as the optimal lighting intensity level of the selected bulb. Further, it is determined which lighting devices in a lighting segment may be turned off or dimmed while maintaining a predefined minimum safe light/brightness level along a pathway associated with the lighting segment.
    Type: Grant
    Filed: August 6, 2015
    Date of Patent: December 26, 2017
    Assignee: International Business Machines Corporation
    Inventors: Jason L. Anderson, Gregory J. Boss, Jeffrey L. Coveyduc, Stefan A. G. van der Stockt
  • Patent number: 9501306
    Abstract: Virtual machines are allocated among servers in a virtual environment, whereby each virtual machine has a current placement. A current fitness score is calculated for each virtual machine based on its current placement. Proposed placement plans are then generated, each plan including a proposed placement of each virtual machine. For each plan, a plan score is created. Each plan score is created by calculating a proposed fitness score for each virtual machine based on a proposed placement of that virtual machine in accordance with that plan, generating a virtual machine score for each virtual machine based on a comparison of that virtual machine's current fitness score and proposed fitness score, and then combining the virtual machine scores. The plan scores are then compared, and a target plan is selected from among the plans. The virtual machines are then reallocated among the servers in accordance with the target proposed placement plan.
    Type: Grant
    Filed: September 22, 2014
    Date of Patent: November 22, 2016
    Assignee: International Business Machines Corporation
    Inventors: Jason L. Anderson, Jeffrey L. Coveyduc, Andrew D. Hately, Stefan A. G. van der Stockt
  • Patent number: 9495196
    Abstract: Virtual machines are allocated among servers in a virtual environment, whereby each virtual machine has a current placement. A current fitness score is calculated for each virtual machine based on its current placement. Proposed placement plans are then generated, each plan including a proposed placement of each virtual machine. For each plan, a plan score is created. Each plan score is created by calculating a proposed fitness score for each virtual machine based on a proposed placement of that virtual machine in accordance with that plan, generating a virtual machine score for each virtual machine based on a comparison of that virtual machine's current fitness score and proposed fitness score, and then combining the virtual machine scores. The plan scores are then compared, and a target plan is selected from among the plans. The virtual machines are then reallocated among the servers in accordance with the target proposed placement plan.
    Type: Grant
    Filed: August 26, 2015
    Date of Patent: November 15, 2016
    Assignee: International Business Machines Corporation
    Inventors: Jason L. Anderson, Jeffrey L. Coveyduc, Andrew D. Hately, Stefan A. G. van der Stockt
  • Publication number: 20160085593
    Abstract: Virtual machines are allocated among servers in a virtual environment, whereby each virtual machine has a current placement. A current fitness score is calculated for each virtual machine based on its current placement. Proposed placement plans are then generated, each plan including a proposed placement of each virtual machine. For each plan, a plan score is created. Each plan score is created by calculating a proposed fitness score for each virtual machine based on a proposed placement of that virtual machine in accordance with that plan, generating a virtual machine score for each virtual machine based on a comparison of that virtual machine's current fitness score and proposed fitness score, and then combining the virtual machine scores. The plan scores are then compared, and a target plan is selected from among the plans. The virtual machines are then reallocated among the servers in accordance with the target proposed placement plan.
    Type: Application
    Filed: August 26, 2015
    Publication date: March 24, 2016
    Inventors: Jason L. Anderson, Jeffrey L. Coveyduc, Andrew D. Hately, Stefan A. G. van der Stockt
  • Publication number: 20160085573
    Abstract: Virtual machines are allocated among servers in a virtual environment, whereby each virtual machine has a current placement. A current fitness score is calculated for each virtual machine based on its current placement. Proposed placement plans are then generated, each plan including a proposed placement of each virtual machine. For each plan, a plan score is created. Each plan score is created by calculating a proposed fitness score for each virtual machine based on a proposed placement of that virtual machine in accordance with that plan, generating a virtual machine score for each virtual machine based on a comparison of that virtual machine's current fitness score and proposed fitness score, and then combining the virtual machine scores. The plan scores are then compared, and a target plan is selected from among the plans. The virtual machines are then reallocated among the servers in accordance with the target proposed placement plan.
    Type: Application
    Filed: September 22, 2014
    Publication date: March 24, 2016
    Inventors: Jason L. Anderson, Jeffrey L. Coveyduc, Andrew D. Hately, Stefan A. G. van der Stockt
  • Publication number: 20150342007
    Abstract: Intelligent lighting is provided to motorists traveling down a stretch of road by sequentially turning on adjacent lighting devices in a lighting segment only when required, such as when vehicles are approaching the lighting devices, and turning off the lighting devices or decreasing a light intensity output of the lighting devices to a predefined minimum lighting intensity output level when no vehicles are present. In addition, which bulb to use in a multi-bulb lighting device is determined, as well as the optimal lighting intensity level of the selected bulb. Further, it is determined which lighting devices in a lighting segment may be turned off or dimmed while maintaining a predefined minimum safe light/brightness level along a pathway associated with the lighting segment.
    Type: Application
    Filed: August 6, 2015
    Publication date: November 26, 2015
    Inventors: Jason L. Anderson, Gregory J. Boss, Jeffrey L. Coveyduc, Stefan A. G. van der Stockt
  • Patent number: 9161419
    Abstract: Intelligent lighting is provided to motorists traveling down a stretch of road by sequentially turning on adjacent lighting devices in a lighting segment only when required, such as when vehicles are approaching the lighting devices, and turning off the lighting devices or decreasing a light intensity output of the lighting devices to a predefined minimum lighting intensity output level when no vehicles are present. In addition, which bulb to use in a multi-bulb lighting device is determined, as well as the optimal lighting intensity level of the selected bulb. Further, it is determined which lighting devices in a lighting segment may be turned off or dimmed while maintaining a predefined minimum safe light/brightness level along a pathway associated with the lighting segment.
    Type: Grant
    Filed: July 2, 2012
    Date of Patent: October 13, 2015
    Assignee: International Business Machines Corporation
    Inventors: Jason L. Anderson, Gregory J. Boss, Jeffrey L. Coveyduc, Stefan A. G. van der Stockt