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SemanticBeeng's Projects

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A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

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Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments. Proceedings of the 2019 SIAM International Conference on Data Mining.

aecor icon aecor

Pure functional event sourcing runtime

aggregations icon aggregations

Fast accurate low memory type-safe aggregations DSL for Spark

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AIFAD - Automated Induction of Functions over Algebraic Data Types

akka-eventsourcing icon akka-eventsourcing

Code that goes along with my presentation 'Event-sourced architectures with Akka'

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