International Business Machines Corporation

Avi Yaeli

Peter Bak

Gilad Mordechai Saadoun

Harold Jeffrey Ship

Craig A Statchuk

Asaf Adi

Sergey Zeltyn

Alexander Kofman

Adam Perer

Mattias Marder

Gal A Shachor

Jonathan Bnayahu

Vita Bortnikov

Roie Melamed

Inbal Ronen

Sivan Harary

Nili Guy

Tali Yatzkar-Haham

David Franklin Manning

Kenneth Lee McClamroch

Gabi Zodik

Guy Sharon

Michael C Mansell

Yoav Rubin

Segev Shlomov

Yuval Nardi

Dolev Dotan

Sarit Arcushin

Swapnil Chhabra

Sami Sobhe Marreed

Joern Jaskolowski

Shay Segal

Gilad Moredehi Saadoun

Raphaël Canyasse

Asaf Shaar

Harold-Jeff Ship

Per Johan Kroll

Gobi Zodik

An example system includes a processor to detect a non-found element from a robotic process automation (RPA) script executed on an application. The processor can analyze the application to extract a group and a set of elements from the application. The processor can calculate a semantic similarity between the extracted group and a previously extracted group from a previous version of the application. The processor can calculate, in response to detecting that the extracted group is similar to the previously extracted group, a semantic similarity between the extracted set of elements and the non-found element. The processor can re-direct the RPA script to use a most similar element of the extracted set of elements.

Robotic process automation using generated semantic information

Disclosed herein are methods and systems for generating automatically transactional dialog flows for a virtual assistant based on a set of predefined (labeled) transactional flows defining user interaction paths to accomplish one or more tasks. The virtual assistant is represented by a tree structure comprising a plurality of dialog nodes where each transactional flow comprises a respective subset of the nodes descending from a parent node to one or more completion nodes. New transactional flows may be generated automatically based on similarity with the predefined transactional flows, by selecting a candidate node and one of the predefined transactional flows comprising a completion node most similar to the candidate completion node and further selecting a candidate parent node most similar to the parent node of the selected predefined transactional flow. The new transactional flows may be then generated to comprise all descendant nodes of the candidate parent node.

Automatic flow generation for virtual assistants

An example system includes a processor that can receive conversation logs of a dialogue system to be analyzed. The processor can train a predictive machine learning model using a training set of the conversation logs on a selected feature to obtain feature values with associated importance values. The processor can select a number of feature values using a significance score calculated based on the associated importance values. The processor can generate an interactive user interface including the selected number of feature values.

Extracting and selecting feature values from conversation logs of dialogue systems using predictive machine learning models

A system for managing medical events, includes: at least one medical sensor, configured to output a plurality of sensor measurements; at least one display; at least one hardware processor connected to the medical sensor and the display, and adapted to: receive a plurality of events, each having a time of occurrence, including the plurality of measurements and a plurality of external events; identify a target sequence of events in the plurality of events; identify in the plurality of events a plurality of matching sequences, each including a sequence of events matching the target sequence; augment each of the matching sequences with some temporally related events according to a predefined time test; cluster the plurality of augmented sequences in a plurality of clusters according to a temporal distribution of events; and display on the display a visual representation of the plurality of clusters according to a predefined set of similarity criteria.

Managing medical events using visual patterns generated from multivariate medical records

A pathway for each entity in a cohort may be extracted from raw data comprising a plurality of events. A common graph structure may be created based the extracted pathways. For each cohort, a relative signature trait may be computed for each edge based on a number of appearances of the edge in the extracted pathways that are associated with the cohort. A relationship expression may be obtained. The relationship expression may be with respect to at least two cohorts for which relative signature traits were computed. The common graph structure may be processed based on the relationship expression to determine an output label for each edge. A visualization of the common graph structure may be displayed.

Relative signature traits of cohorts

There is provided a method of creating a cohort clinical pathway graph based on knowledge-driven manual user input and automated data-driven mining comprising: receiving via a graphical user interface (GUI), manual selections including: knowledge-driven variable(s) denoting clinically significant values representing elements of a clinical decision making process, and an anchoring location of each knowledge-driven node denoting a respective knowledge-drive variable within a directed acyclic graph (DAG), computing individual clinical pathways for each of the sampled population of patients by automatically computing data-driven nodes denoting the data-driven discovery of event types relative to the manual selections, and aggregating the individual clinical pathways to compute a cohort clinical pathway DAG, wherein the cohort clinical pathway DAG includes nodes comprising the knowledge-driven nodes, the data-driven nodes, and links connecting the nodes, each link denoting an automatically discovered sequence between two respective nodes, and presenting the cohort clinical pathway DAG within the GUI.

Systems and methods for constructing clinical pathways within a GUI

Automatic determination of presence-related roles. Presence data of a plurality of users in a space comprised of one or more zones is received. For each user of the plurality of users a value of a target metric in a zone is computed based on the presence data, the target metric defining a measure of user presence. A presence-related role is assigned to a user with respect to the zone, the presence-related role being comprised in a set of one or more presence-related roles describing categories of spatiotemporal occupancy relation between the user and the zone, wherein said assigning comprises applying a mapping function on the value, the mapping function maps between values of the target metric and the one or more presence-related roles, the mapping function is affected by analytics of the presence data.

Method, apparatus and product for determining presence-related roles

A method and system for generating a map using a computer is based on data and weighted factors to minimize corresponding projection distortions. The method and system includes determining visualization goals from analyzing a set of datasets for a map using the computer. A set of visualization characteristics are calculated for each dataset based on the visualization goals using the computer. The visualization characteristics are analyzed to weight factors for each of the datasets. Each of the weighted factors is adjusted based on the relevance of each of the datasets for visualization of the map. An aggregate vector of weighted factors is calculated based on all of the datasets, and the map for visualization is generated based on the aggregate vector of weighted factors.

Method to optimize the visualization of a map's projection based on data and tasks

Methods, system and computer program products for spatiotemporal encounters detection of a plurality of moving objects are disclosed. The method includes receiving a dataset of a plurality of objects moving in a domain, structuring the dataset in a data structure to detect a plurality of spatiotemporal encounters among the plurality of objects, outputting a list of the detected spatiotemporal encounters. The plurality of spatiotemporal encounters may be detected in a single sweep over the received dataset.

Spatiotemporal encounters detection in historical movement datasets

A computerized method for generating monitoring rules, comprising: presenting to a user a spatio-temporal data indicative of a plurality of spatio-temporal attributes of a plurality of image objects in a space during a period; selecting, by a user, at least one of a spatial pattern and a temporal pattern represented in said spatio-temporal data; analyzing said at least one of a spatial pattern and a temporal pattern to identify at least one of a spatial related characteristic of at least some of said plurality of image objects and a temporal related characteristic of at least some of said plurality of image objects; automatically generating at least one monitoring rule to track an occurrence of said at least one of a location related characteristic and a temporal related characteristic.

Visual rules for decision management

Systems and methods for presentation of value distributions in a graphical user interface are provided. The method comprises computing a plurality of value distributions based on measurements performed for target values for one or more positions spread across a space, wherein a series of measurements are performed for at least a target point in the space; computing a cumulative distribution for the plurality of value distributions associated with the target point along predetermined time intervals; dividing the cumulative distribution into bins for one or more time periods corresponding to said predetermined time intervals; mapping attributes associated with the target point into shapes; and using a scaling function, assigning a color attribute from a color scheme to each bin.

Spatial representation of temporal value distributions

A method of ad hoc trust delegation in human-based workflow systems using one-time access key is provided herein. The method may include the following steps: generating a unique access key to a workflow system in response to a delegation of trust to one or more users; associating the unique access key with a specified portion of a workflow within the workflow system; embedding the unique access key in a message sent to the one or more users; and providing the one or more users with a one-time access to the workflow system, such that the access is limited to the specified portion of the workflow, in response to applying the unique access key to the workflow system.

Ad hoc trust delegation in human based workflow systems using one time access key

A method for managing a software development process, the method includes: receiving information representative of instances of simple software development process events; detecting, by a complex event processing (CEP) engine and in response to the received information, at least one complex situation; and invoking at least one software management process reaction responsive to a detection of the at least one complex situation.

Device, method and computer program product for managing a software development process

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Ramot Menashe, Israel

Avi Yaeli