Tsuyoshi Ide

PROBABILISTIC BLACK-BOX ANOMALY ATTRIBUTION

ESTIMATING GRANGER-CAUSAL RELATIONSHIP AMONG EVENT INSTANCES

IMPROVED TRANSFORMERS USING FAITHFUL POSITIONAL ENCODING

DIRECTED GRAPH AUTOENCODER DEVICES AND METHODS

UNSUPERVISED ANOMALY DETECTION OF INDUSTRIAL DYNAMIC SYSTEMS WITH CONTRASTIVE LATENT DENSITY LEARNING

STOCHASTIC EVENT TRIAGE FOR ARTIFICIAL INTELLIGENCE FOR INFORMATION TECHNOLOGY OPERATIONS

INFLUENCE MAXIMIZATION ON SOCIAL NETWORKS WITH TENSOR BANDITS

Diagnosing anomalies detected by black-box machine learning models

LEARNING PATTERN DICTIONARY FROM NOISY NUMERICAL DATA IN DISTRIBUTED NETWORKS

Incorporating change diagnosis using probabilistic tensor regression model for improving processing of materials

DEEP LEARNING MODEL FOR PROBABILISTIC FORECAST OF CONTINUOUS MANUFACTURING PROCESS

Learning sparsity-constrained gaussian graphical models in anomaly detection

Managing anomaly detection models for fleets of industrial equipment

Diagnostic fault detection using multivariate statistical pattern library

Change detection using directional statistics

METHODS AND ANALYTICS SYSTEMS HAVING AN ONTOLOGY-GUIDED GRAPHICAL USER INTERFACE FOR ANALYTICS MODELS

LATENT TRAIT ANALYSIS FOR RISK MANAGEMENT

SELECTING OPTIMAL TRAINING DATA SET FOR SERVICE CONTRACT PREDICTION