4 citations · 8 across the 16 of their papers we have counts for
4 papers · 1 filter
Advancing Knowledge Tracing by Exploring Follow-up Performance Trends
Hengyu Liu, Yushuai Li, Minghe Yu +6
Intelligent Tutoring Systems (ITS), such as Massive Open Online Courses, offer new opportunities for human learning. At the core of such systems, knowledge tracing (KT) predicts st…
Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review
Yuchen Fang, Hao Miao, Yuxuan Liang +9
Spatio-temporal deep learning models aims to utilize useful patterns in such data to support tasks like prediction. However, previous deep learning models designed for specific tas…
Extending the SAREF4ENER Ontology with Flexibility Based on FlexOffers
Fabio Lilliu, Amir Laadhar, Christian Thomsen +2
A key element to support the increased amounts of renewable energy in the energy system is flexibility, i.e., the possibility of changing energy loads in time and amount. Many flex…
CAMEO: Autocorrelation-Preserving Line Simplification for Lossy Time Series Compression
Carlos Enrique Muñiz-Cuza, Matthias Boehm, Torben Bach Pedersen
Time series data from a variety of sensors and IoT devices need effective compression to reduce storage and I/O bandwidth requirements. While most time series databases and systems…