Publications related to A New Analytical Model for the Prediction of Stream Temperature in Ungauged Basins

Spectral Estimators for High-Dimensional Matrix Inference

A key challenge across many disciplines is to extract meaningful information from data which is often obscured by noise. These datasets are typically represented as large matrices. Given the current trend of ever-increasing data volumes, with datasets grow ...

EPFL2024

Distributional Regression and Autoregression via Optimal Transport

Laya Ghodrati

We present a framework for performing regression when both covariate and response are probability distributions on a compact and convex subset of

\R^d

. Our regression model is based on the theory of optimal transport and links the conditional Fr'echet m ...

EPFL2023

Multivariate time series forecasting for freeway networks

Semin Kwak

This dissertation introduces traffic forecasting methods for different network configurations and data availability.Chapter 2 focuses on single freeway cases.Although its topology is simple, the non-linearity of traffic features makes this prediction still ...

EPFL2022

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Nikolaos Geroliminis, Semin Kwak

Accurate prediction of travel time is an essential feature to support Intelligent Transportation Systems (ITS). The non-linearity of traffic states, however, makes this prediction a challenging task. Here we propose to use dynamic linear models (DLMs) to a ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Nikolaos Geroliminis, Emmanouil Barmpounakis

The work proposes a multi-modal regional mean speed regression analysis for the city network of Athens, Greece. The dataset from pNUEMA experiment is used in the present context. Accumulations and mean speeds of different modes are estimated and compared t ...

2021

On the assessment of arterial compliance from carotid pressure waveform

Nikolaos Stergiopoulos, Georgios Rovas, Vasiliki Bikia, Stamatia Zoi Pagoulatou, Patrick Segers

In a progressively aging population, it is of utmost importance to develop reliable, noninvasive, and cost-effective tools to estimate biomarkers that can be indicative of cardiovascular risk. Various pathophysiological conditions are associated to changes ...

AMER PHYSIOLOGICAL SOC2021

Population pharmacokinetic model selection assisted by machine learning

Jan Sickmann Hesthaven, Nadia Terranova

A fit-for-purpose structural and statistical model is the first major requirement in population pharmacometric model development. In this manuscript we discuss how this complex and computationally intensive task could benefit from supervised machine learni ...

SPRINGER/PLENUM PUBLISHERS2021

Improve the Model Stability of Dam's Displacement Prediction Using a Numerical-Statistical Combined Model

Zhenzhu Meng, Yating Hu, Chenfei Shao

In most studies of dam's displacement prediction based on monitoring data, emphasis was given on improving the prediction accuracy, while the model stability was merely considered. This study proposed a numerical-statistical combined model which aims to im ...

2020

Updated ATLAS of Biochemistry with New Metabolites and Improved Enzyme Prediction Power

Vassily Hatzimanikatis, Jasmin Maria Hafner, Anastasia Sveshnikova, Alan Scheidegger

The ATLAS of Biochemistry is a repository of both known and novel predicted biochemical reactions between biological compounds listed in the Kyoto Encyclopedia of Genes and Genomes (KEGG). ATLAS was originally compiled based on KEGG 2015, though the number ...

AMER CHEMICAL SOC2020

Force Characterization Of Meso-Scale Haptic Devices

Jamie Paik, Sagar Dattatray Joshi, Frédéric Henri Vaskin Giraud

Recent advances with haptic devices have shown great potential in physically simulating contact with an object. In meso-scale (1 to 10 cm) haptic devices, although the actuation level can be controlled, their small form-factor makes it difficult to measure ...

2019

A New Analytical Model for the Prediction of Stream Temperature in Ungauged Basins

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Spectral Estimators for High-Dimensional Matrix Inference

Distributional Regression and Autoregression via Optimal Transport

Multivariate time series forecasting for freeway networks

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

On the assessment of arterial compliance from carotid pressure waveform

Population pharmacokinetic model selection assisted by machine learning

Improve the Model Stability of Dam's Displacement Prediction Using a Numerical-Statistical Combined Model

Updated ATLAS of Biochemistry with New Metabolites and Improved Enzyme Prediction Power

Force Characterization Of Meso-Scale Haptic Devices

Spectral Estimators for High-Dimensional Matrix Inference

On the assessment of arterial compliance from carotid pressure waveform

Force Characterization Of Meso-Scale Haptic Devices

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Improve the Model Stability of Dam's Displacement Prediction Using a Numerical-Statistical Combined Model

Distributional Regression and Autoregression via Optimal Transport

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Population pharmacokinetic model selection assisted by machine learning

Updated ATLAS of Biochemistry with New Metabolites and Improved Enzyme Prediction Power

Multivariate time series forecasting for freeway networks