Time series classification based on multi-feature dictionary representation and ensemble learning
Time series classification is an important task for mining time series data, and many high
level representations of time series have been proposed to address it. Symbolic Aggregate …
level representations of time series have been proposed to address it. Symbolic Aggregate …
A multimodal coupled graph attention network for joint traffic event detection and sentiment classification
Traffic events are one of the main causes of traffic accidents, leading to traffic event detection
being a challenging research problem in traffic management and intelligent transportation …
being a challenging research problem in traffic management and intelligent transportation …
Framework for traffic event detection using Shapelet Transform
Early detection of traffic events is essential for informing Traffic Centers, drivers and
intelligent vehicles about incoming dangers or congestion. In this study, a framework based …
intelligent vehicles about incoming dangers or congestion. In this study, a framework based …
Multi-modal traffic event detection using shapelets
Traffic management continues to be one of the most critical challenges facing smart cities.
Timely detection of incidents plays an important role in reducing fatality rates, avoiding …
Timely detection of incidents plays an important role in reducing fatality rates, avoiding …
Feature augmentation of classifiers using learning time series shapelets transformation for night setback classification of district heating substations
District heating systems that distribute heat through pipelines to residential and commercial
buildings have been widely used in Northern Europe, and according to the latest study …
buildings have been widely used in Northern Europe, and according to the latest study …
Selection of Information Streams in Social Sensing: an Interdependence-and Cost-aware Ranking Method
In this work we address the problem of critical source selection in social sensing. We
propose an approach to the ranking of information streams, which is aware of the …
propose an approach to the ranking of information streams, which is aware of the …
Hardware accelerator for shapelet distance computation in time-series classification
Time-series classification has several important real-world applications and shapelet-based
methods have emerged as highly attractive tools for this task. They are appropriate to search …
methods have emerged as highly attractive tools for this task. They are appropriate to search …
[PDF][PDF] Context based Event Detection using Time Series Classification
A AlDhanhani - 2019 - khalifauniversity.elsevierpure.com
PhD Thesis, PhD in Engineering, Department of Electrical Engineering and Computer
Science, Khalifa University, United Arab Emirates, December 2019. Intelligent systems that …
Science, Khalifa University, United Arab Emirates, December 2019. Intelligent systems that …
Bargaining compatible explanations
Within the framework of ensemble methods, we investigate on a compatible learning
scheme, denoted as learning by gossip with the aim of assessing its feasibility when facing a …
scheme, denoted as learning by gossip with the aim of assessing its feasibility when facing a …