Mogens Graf Plessen | DeepAI

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Alberto Bemporad
18 publications

∙ 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...

0 Mogens Graf Plessen, et al. ∙

∙ 12/16/2019

A posteriori Trading-inspired Model-free Time Series Segmentation

Within the context of multivariate time series segmentation this paper p...

0 Mogens Graf Plessen, et al. ∙

∙ 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...

0 Mogens Graf Plessen, et al. ∙

∙ 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...

0 Mogens Graf Plessen, et al. ∙

∙ 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...

0 Mogens Graf Plessen, et al. ∙

∙ 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...

0 Mogens Graf Plessen, et al. ∙

∙ 08/29/2017

Stock Trading via Feedback Control: Stochastic Model Predictive or Genetic?

We seek a discussion about the most suitable feedback control structure ...

0 Mogens Graf Plessen, et al. ∙

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