Washington, District of Columbia
United States
39
2026-06-25
The entities that hold a legal rights for patent applications filed by inventor Bruss Christopher Bayan:
Christopher Bayan Bruss from Washington, US has applied for patents for these inventions. The list has both pending applications and granted patents:
METHODS AND SYSTEMS FOR EXPLAINING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
#2 | 2026-05-21Processing Event Data and/or Tabular Data for Input to One or More Machine Learning Models
#3 | 2026-01-15STREAM-ADAPTABLE REGULARIZATION FOR MODELS
#4 | 2025-09-25FEATURE-SPECIFIC ATTENTION ARRAYS FOR EVENT SEQUENCE CHARACTERIZATION
#5 | 2025-09-18GENERATING USER GROUP DEFINITIONS
#6 | 2025-08-14PROCESSING EVENT DATA AND/OR TABULAR DATA FOR INPUT TO ONE OR MORE MACHINE LEARNING MODELS
#7 | 2025-07-03COMPUTER-BASED SYSTEMS CONFIGURED TO SELECT A MONITORED DATA SEGMENTATION AND METHODS OF USE THEREOF
#8 | 2025-03-06SYSTEMS AND METHODS FOR RANKING USER INTERFACE ELEMENTS USING EXPLAINABILITY VECTORS
#9 | 2025-03-06SYSTEMS AND METHODS FOR GENERATING CONTEXTUAL DATA FOR TRAINING DOWNSTREAM MODELS
#10 | 2025-02-13SYSTEMS AND METHODS FOR GENERATING SYSTEM ALERTS
#11 | 2025-01-16SYSTEMS AND METHODS FOR PREDICTING SECURITY COMMUNICATIONS BASED ON SEQUENCES OF SYSTEM ACTIVITY TOKENS
#12 | 2025-01-16SYSTEMS AND METHODS FOR GENERATING SECURITY-RELATED COMMUNICATIONS BASED ON USER ACTIVITY DATA
#13 | 2024-12-26UPDATING MACHINE LEARNING MODELS BASED ON IMPACTS OF FEATURES ON PREDICTIONS
#14 | 2024-12-26FILTERING COUNTERFACTUAL CONDITIONALS
#15 | 2024-12-19MACHINE LEARNING EMBEDDINGS FOR EVOLVING CATEGORY SETS
#16 | 2024-12-05MACHINE LEARNING FOR EVENT MONITORING
#17 | 2024-11-28AUGMENTING REINFORCEMENT LEARNING WITH LOCAL EXPLAINABILITY WEIGHTS
#18 | 2024-11-14SYSTEMS AND METHODS FOR USING HASH TABLES FOR GENERATING TEXTUAL PREDICTION EXPLANATIONS
#19 | 2024-08-08SYSTEMS AND METHODS FOR LIGHTWEIGHT MACHINE LEARNING MODELS
#20 | 2024-08-08REDUCED STORAGE OF SEQUENCE MINING DATA
#21 | 2024-08-08GENERATING USER GROUP DEFINITIONS
#22 | 2024-04-11MONITORING MACHINE LEARNING MODELS USING SURROGATE MODEL OUTPUT
#23 | 2024-04-04COUNTERFACTUAL SAMPLES FOR MAINTAINING CONSISTENCY BETWEEN MACHINE LEARNING MODELS
#24 | 2024-04-04GENERATING COUNTERFACTUAL SAMPLES BASED ON USER PREFERENCE
#25 | 2024-04-04SYSTEMS AND METHODS FOR COUNTERFACTUALS IN MACHINE LEARNING APPLICATIONS
#26 | 2024-02-01METHODS AND SYSTEMS FOR EXPLAINING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
#27 | 2023-11-02Method and System for Detecting Drift in Image Streams
#28 | 2022-10-06Method and system for detecting drift in image streams
#29 | 2022-03-03Systems and method for enhanced active machine learning through processing of partitioned uncertainty
#30 | 2022-01-20Method and system for detecting drift in text streams
#31 | 2021-04-15Systems and methods of detecting email-based attacks through machine learning
#32 | 2021-01-21Method and system for detecting drift in image streams
#33 | 2021-01-21Method and system for detecting drift in text streams
#34 | 2020-05-19Method and system for detecting drift in image streams
#35 | 2020-03-03Method and system for detecting drift in text streams
#36 | 2019-11-14Systems and methods of detecting email-based attacks through machine learning
#37 | 2019-08-27Systems and methods of detecting email-based attacks through machine learning
#38 | 2015-09-17ROUTE PLANNING SYSTEM AND METHODOLOGY WHICH ACCOUNT FOR SAFETY FACTORS
#39 | 2015-07-23System and methodology for assessing and predicting linguistic and non-linguistic events and for providing decision support
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