Semagrow
Semagrow is a SPARQL query federator of heterogeneous data sources.
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Semagrow is a SPARQL query federator of heterogeneous data sources.
Aggregated load time series of the Portuguese TSO (Transmission System Operator) for 2018 and 2019 (15 minute resolution) accompanied by encoded (in a cyclical manner) time covariates. Useful for TSO demand forecasting experimentation.
This asset provides the interfacing between the TAMER temporal planner and the Unified Planning framework developed by the AIPlan4EU project.
This asset provides the interfacing between the Pyperplan planner and the Unified Planning Framework developed by the AIPlan4EU project.
The Unified Planning Framework (UPF) library makes it easy to formulate planning problems and to invoke automated planners.
This asset was development for the AI4IoT Pilot, with the goal of providing a tool to access raw data from a network low-cost sensors deployed in Trondheim, Norway.
This asset was development for the AI4IoT Pilot, with the goal of providing a tool to calibrate the measurements of low-cost sensors. The model is pre-trained for the low-cost sensor deployed in Trondheim, Norway.
Using Objects and a Graph Convolutional Network for the Bottom-up Recognition and Explanation of Events in Video
Synthetic event logs generated starting from a Declare process model related to a Loan Application scenario composed of positive and negative traces
Tool for the discovery of temporal-logic patterns as a binary supervised learning problem