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08/16/2023
Automated Semiconductor Defect Inspection in Scanning Electron Microscope Images: a Systematic Review
A growing need exists for efficient and accurate methods for detecting d...
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05/22/2023
AD-MERCS: Modeling Normality and Abnormality in Unsupervised Anomaly Detection
Most anomaly detection systems try to model normal behavior and assume a...
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10/04/2022
Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming
Internet based businesses and products (e.g. e-commerce, music streaming...
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06/27/2022
Adversarial Example Detection in Deployed Tree Ensembles
Tree ensembles are powerful models that are widely used. However, they a...
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01/04/2022
Elastic Product Quantization for Time Series
Analyzing numerous or long time series is difficult in practice due to t...
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07/23/2021
Machine Learning with a Reject Option: A survey
Machine learning models always make a prediction, even when it is likely...
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02/27/2021
Acceleration of probabilistic reasoning through custom processor architecture
Probabilistic reasoning is an essential tool for robust decision-making ...
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02/27/2021
ProbLP: A framework for low-precision probabilistic inference
Bayesian reasoning is a powerful mechanism for probabilistic inference i...
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10/26/2020
Versatile Verification of Tree Ensembles
Machine learned models often must abide by certain requirements (e.g., f...
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01/31/2020
Additive Tree Ensembles: Reasoning About Potential Instances
Imagine being able to ask questions to a black box model such as "Which ...
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12/30/2019
A general anomaly detection framework for fleet-based condition monitoring of machines
Machine failures decrease up-time and can lead to extra repair costs or ...
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09/18/2019
An Automated Engineering Assistant: Learning Parsers for Technical Drawings
From a set of technical drawings and expert knowledge, we automatically ...
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03/29/2019
Learning Relational Representations with Auto-encoding Logic Programs
Deep learning methods capable of handling relational data have prolifera...
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03/13/2019
Crowdsourced wireless spectrum anomaly detection
Automated wireless spectrum monitoring across frequency, time and space ...
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05/02/2018
COBRAS-TS: A new approach to Semi-Supervised Clustering of Time Series
Clustering is ubiquitous in data analysis, including analysis of time se...
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06/28/2016
Theory reconstruction: a representation learning view on predicate invention
With this positional paper we present a representation learning view on ...
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12/19/2013