Picture for Andrea Castellani

Andrea Castellani

A Real-World Energy Management Dataset from a Smart Company Building for Optimization and Machine Learning

Add code
Mar 14, 2025
Viaarxiv icon

Confidence Interval Estimation of Predictive Performance in the Context of AutoML

Add code
Jun 12, 2024
Figure 1 for Confidence Interval Estimation of Predictive Performance in the Context of AutoML
Figure 2 for Confidence Interval Estimation of Predictive Performance in the Context of AutoML
Figure 3 for Confidence Interval Estimation of Predictive Performance in the Context of AutoML
Figure 4 for Confidence Interval Estimation of Predictive Performance in the Context of AutoML
Viaarxiv icon

Stream-based Active Learning with Verification Latency in Non-stationary Environments

Add code
Apr 14, 2022
Figure 1 for Stream-based Active Learning with Verification Latency in Non-stationary Environments
Figure 2 for Stream-based Active Learning with Verification Latency in Non-stationary Environments
Figure 3 for Stream-based Active Learning with Verification Latency in Non-stationary Environments
Figure 4 for Stream-based Active Learning with Verification Latency in Non-stationary Environments
Viaarxiv icon

Task-Sensitive Concept Drift Detector with Constraint Embedding

Add code
Aug 24, 2021
Figure 1 for Task-Sensitive Concept Drift Detector with Constraint Embedding
Figure 2 for Task-Sensitive Concept Drift Detector with Constraint Embedding
Figure 3 for Task-Sensitive Concept Drift Detector with Constraint Embedding
Figure 4 for Task-Sensitive Concept Drift Detector with Constraint Embedding
Viaarxiv icon

Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise

Add code
May 01, 2021
Figure 1 for Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise
Figure 2 for Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise
Figure 3 for Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise
Figure 4 for Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise
Viaarxiv icon

Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning

Add code
Nov 12, 2020
Figure 1 for Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning
Figure 2 for Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning
Figure 3 for Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning
Figure 4 for Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning
Viaarxiv icon