Publications related to Paired difference test

Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons

Julien René Pierre Fageot, Sadegh Farhadkhani, Oscar Jean Olivier Villemaud, Le Nguyen Hoang

Many applications, e.g. in content recommendation, sports, or recruitment, leverage the comparisons of alternatives to score those alternatives. The classical Bradley-Terry model and its variants have been widely used to do so. The historical model conside ...

AAAI Press2024

Surrogate modelling for seismic collapse risk assessment of steel moment resisting frames

Dimitrios Lignos, Andronikos Skiadopoulos, Nenad Bijelic

With the overall goal of reducing the numerical burden of uncertainty quantification involved in seismic risk assessments, this paper examines opportunities for assessment of seismic collapse capacity and risk using data-driven surrogates as a complement t ...

2023

PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired Samples

Sabine Süsstrunk, Majed El Helou, Kaan Okumus

Image noise can often be accurately fitted to a Poisson-Gaussian distribution. However, estimating the distribution parameters from a noisy image only is a challenging task. Here, we study the case when paired noisy and noise-free samples are accessible. N ...

2022

Students' learning strategies, motivation and project-management skills during interdisciplinary projects in Covid times

Siara Ruth Isaac, Helena Kovacs, Julien Delisle, Marc Lafuente Martinez

In this study, we investigated an interdisciplinary project-based learning program. Students were confronted with interdisciplinary challenges in the form of complex and authentic problems, like building a racing car or making a mobile laboratory for genet ...

Technische Universität Berlin2021

Determining 1D fast-ion velocity distribution functions from ion cyclotron emission data using deep neural networks

Ambrogio Fasoli, Marcelo Baquero Ruiz

The relationship between simulated ion cyclotron emission (ICE) signals s and the corresponding 1D velocity distribution function f(upsilon(perpendicular to)) of the fast ions triggering the ICE is modeled using a two-layer deep neural network. The network ...

AIP Publishing2021

MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients

Jean-Philippe Thiran, Meritxell Bach Cuadra, Thomas Yu, Cristina Granziera, Francesco La Rosa

Background and objective: Compared to the conventional magnetization-prepared rapid gradient-echo imaging (MPRAGE) MRI sequence, the specialized magnetization prepared 2 rapid acquisition gradient echoes (MP2RAGE) shows a higher brain tissue and lesion con ...

2021

Multi-Region Network Perimeter Control via Model Free Adaptive Iterative Learning Control

Nikolaos Geroliminis, Isik Ilber Sirmatel, Ye Ren

Most perimeter control methods in literature are the model-based schemes. However, accurate modeling of the traffic flow system is hard and time-consuming. On the other hand, macroscopic traffic flow patterns show heavily similarity between days, and data ...

2020

Data driven model free adaptive iterative learning perimeter control for large-scale urban road networks

Nikolaos Geroliminis, Isik Ilber Sirmatel, Ye Ren

Most perimeter control methods in literature are the model-based schemes designing the controller based on the available accurate macroscopic fundamental diagram (MFD) function with well known techniques of modern control methods. However, accurate modelin ...

PERGAMON-ELSEVIER SCIENCE LTD2020

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Paired difference test

Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons

Surrogate modelling for seismic collapse risk assessment of steel moment resisting frames

PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired Samples

Students' learning strategies, motivation and project-management skills during interdisciplinary projects in Covid times

Determining 1D fast-ion velocity distribution functions from ion cyclotron emission data using deep neural networks

Lattice-Free Mmi Adaptation Of Self-Supervised Pretrained Acoustic Models

MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients

Multi-Region Network Perimeter Control via Model Free Adaptive Iterative Learning Control

Data driven model free adaptive iterative learning perimeter control for large-scale urban road networks

On some graph-based two-sample tests for high dimension, low sample size data

Graph Chatbot

Chat with Graph Search

Students' learning strategies, motivation and project-management skills during interdisciplinary projects in Covid times

Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons

PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired Samples

On some graph-based two-sample tests for high dimension, low sample size data

Data driven model free adaptive iterative learning perimeter control for large-scale urban road networks

Surrogate modelling for seismic collapse risk assessment of steel moment resisting frames

Determining 1D fast-ion velocity distribution functions from ion cyclotron emission data using deep neural networks

Lattice-Free Mmi Adaptation Of Self-Supervised Pretrained Acoustic Models

Multi-Region Network Perimeter Control via Model Free Adaptive Iterative Learning Control

MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients