Publications related to Relevance (information retrieval)

Improving the understanding of mobility in cross-border areas using a pooled travel survey

Guillaume Simon Joseph Drevon, Philippe Gerber

Understanding mobility behaviour in cross-border regions is a major challenge for transport policies and the wellbeing of people living near national borders. However, the available relevant information is often limited to a collection of unharmonized nati ...

Springer2024

From scattered sources to comprehensive technology landscape : A recommendation-based retrieval approach

Karl Aberer, Chi Thang Duong

Mapping the technology landscape is crucial for market actors to take informed investment decisions. However, given the large amount of data on the Web and its subsequent information overload, manually retrieving information is a seemingly ineffective and ...

ELSEVIER2023

Database of Residual Stress Measurements on Hot-rolled Wide Flange Steel Cross Sections

Dimitrios Lignos, Albano António De Abreu E Presa De Castro E Sousa, Andronikos Skiadopoulos

Data_info.csv: Database of 'Residual Stress Measurements on Hot-rolled Wide Flange Steel Cross Sections' including cross-sectional and material characteristics as well as information relevant to ploting the residual stress distributions. Distributions.zip: ...

Zenodo2023

Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding

Karl Aberer, Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong

The heterogeneity of today's Web sources requires information retrieval (IR) systems to handle multi-modal queries. Such queries define a user's information needs by different data modalities, such as keywords, hashtags, user profiles, and other media. Rec ...

IEEE COMPUTER SOC2022

Perspectives in machine learning for wildlife conservation

Devis Tuia, Alexander Mathis, Mackenzie Mathis, Benjamin Alexander Kellenberger

Inexpensive and accessible sensors are accelerating data acquisition in animal ecology. These technologies hold great potential for large-scale ecological understanding, but are limited by current processing approaches which inefficiently distill data into ...

2022

node2coords: Graph Representation Learning with Wasserstein Barycenters

Pascal Frossard, Effrosyni Simou

In order to perform network analysis tasks, representations that capture the most relevant information in the graph structure are needed. However, existing methods learn representations that cannot be interpreted in a straightforward way and that are relat ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

The Role of Occupants in Buildings’ Energy Performance Gap: Myth or Reality?

Dolaana Khovalyg, Matteo Favero, Verena Marie Barthelmes

Buildings’ expected (projected, simulated) energy use frequently does not match actual observations. This is commonly referred to as the energy performance gap. As such, many factors can contribute to the disagreement between expectations and observations ...

2021

Graph Embeddings for One-pass Processing of Heterogeneous Queries

Karl Aberer, Quoc Viet Hung Nguyen, Chi Thang Duong

Effective information retrieval (IR) relies on the ability to comprehensively capture a user's information needs. Traditional IR systems are limited to homogeneous queries that define the information to retrieve by a single modality. Support for heterogene ...

IEEE COMPUTER SOC2020

High-fidelity optical diffraction tomography of multiple scattering samples

Demetri Psaltis, Joowon Lim, Elizabeth Elena Antoine, Ahmed Ayoub

We propose an iterative reconstruction scheme for optical diffraction tomography that exploits the split-step nonparaxial (SSNP) method as the forward model in a learning tomography scheme. Compared with the beam propagation method (BPM) previously used in ...

Springer2019

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Relevance (information retrieval)

Improving the understanding of mobility in cross-border areas using a pooled travel survey

From scattered sources to comprehensive technology landscape : A recommendation-based retrieval approach

Database of Residual Stress Measurements on Hot-rolled Wide Flange Steel Cross Sections

Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding

Perspectives in machine learning for wildlife conservation

node2coords: Graph Representation Learning with Wasserstein Barycenters

Micromechanical Modelling of Elastic Wave Velocity Variations for Intact Brittle Rocks

The Role of Occupants in Buildings’ Energy Performance Gap: Myth or Reality?

Graph Embeddings for One-pass Processing of Heterogeneous Queries

High-fidelity optical diffraction tomography of multiple scattering samples

Graph Chatbot

Chat with Graph Search

Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding

Improving the understanding of mobility in cross-border areas using a pooled travel survey

Perspectives in machine learning for wildlife conservation

From scattered sources to comprehensive technology landscape : A recommendation-based retrieval approach

Database of Residual Stress Measurements on Hot-rolled Wide Flange Steel Cross Sections

node2coords: Graph Representation Learning with Wasserstein Barycenters

High-fidelity optical diffraction tomography of multiple scattering samples

Micromechanical Modelling of Elastic Wave Velocity Variations for Intact Brittle Rocks

Graph Embeddings for One-pass Processing of Heterogeneous Queries

The Role of Occupants in Buildings’ Energy Performance Gap: Myth or Reality?