research
∙
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...
share
research
∙
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...
research
∙
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...
research
∙
06/27/2022
Adversarial Example Detection in Deployed Tree Ensembles
Tree ensembles are powerful models that are widely used. However, they a...
research
∙
01/04/2022
Elastic Product Quantization for Time Series
Analyzing numerous or long time series is difficult in practice due to t...
research
∙
07/23/2021
Machine Learning with a Reject Option: A survey
Machine learning models always make a prediction, even when it is likely...
research
∙
02/27/2021
Acceleration of probabilistic reasoning through custom processor architecture
Probabilistic reasoning is an essential tool for robust decision-making ...
research
∙
02/27/2021
ProbLP: A framework for low-precision probabilistic inference
Bayesian reasoning is a powerful mechanism for probabilistic inference i...
research
∙
10/26/2020
Versatile Verification of Tree Ensembles
Machine learned models often must abide by certain requirements (e.g., f...
research
∙
01/31/2020
Additive Tree Ensembles: Reasoning About Potential Instances
Imagine being able to ask questions to a black box model such as "Which ...
research
∙
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 ...
research
∙
09/18/2019
An Automated Engineering Assistant: Learning Parsers for Technical Drawings
From a set of technical drawings and expert knowledge, we automatically ...
research
∙
03/29/2019
Learning Relational Representations with Auto-encoding Logic Programs
Deep learning methods capable of handling relational data have prolifera...
research
∙
03/13/2019
Crowdsourced wireless spectrum anomaly detection
Automated wireless spectrum monitoring across frequency, time and space ...
research
∙
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...
research
∙
06/28/2016
Theory reconstruction: a representation learning view on predicate invention
With this positional paper we present a representation learning view on ...
research
∙
12/19/2013
