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05/01/2020
Integrated Time Series Summarization and Prediction Algorithm and its Application to COVID-19 Data Mining
This paper proposes a simple method to extract from a set of multiple re...
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12/16/2019
A posteriori Trading-inspired Model-free Time Series Segmentation
Within the context of multivariate time series segmentation this paper p...
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04/14/2019
Online Sampling in the Parameter Space of a Neural Network for GPU-accelerated Motion Planning of Autonomous Vehicles
This paper proposes online sampling in the parameter space of a neural n...
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07/05/2018
Encoding Motion Primitives for Autonomous Vehicles using Virtual Velocity Constraints and Neural Network Scheduling
Within the context of trajectory planning for autonomous vehicles this p...
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11/29/2017
Automating Vehicles by Deep Reinforcement Learning using Task Separation with Hill Climbing
Within the context of autonomous vehicles, classical model-based control...
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09/21/2017
A posteriori multi-stage optimal trading under transaction costs and a diversification constraint
This paper presents a method for the evaluation of a posteriori (histori...
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08/29/2017