DeepAI

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∙ Wageningen , Netherlands ∙ 0 followers

Wageningen University & Research conducts worldwide research into problems in three core areas: nutrition and food production, living environment and health, lifestyle and living conditions.

Featured Researchers

Devis Tuia
47 publications
Vahid Garousi
17 publications
Diego Marcos
16 publications
Benjamin Kellenberger
12 publications
Jesse Hemerik
11 publications
Shota Gugushvili
10 publications
Sylvain Lobry
8 publications
Tarek AlSkaif
6 publications
Pariya Behrouzi
5 publications
Ilias Tsoumas
4 publications
Ioannis Athanasiadis
3 publications

∙ 04/24/2020

Detecting Unsigned Physical Road Incidents from Driver-View Images

Safety on roads is of uttermost importance, especially in the context of...

Alex Levering, et al. ∙

∙ 03/16/2020

RSVQA: Visual Question Answering for Remote Sensing Data

This paper introduces the task of visual question answering for remote s...

Sylvain Lobry, et al. ∙

∙ 09/18/2019

Semantically Interpretable Activation Maps: what-where-how explanations within CNNs

A main issue preventing the use of Convolutional Neural Networks (CNN) i...

Diego Marcos, et al. ∙

∙ 11/30/2022

Evaluating Digital Agriculture Recommendations with Causal Inference

In contrast to the rapid digitalization of several industries, agricultu...

Ilias Tsoumas, et al. ∙

∙ 05/23/2017

Towards seamless multi-view scene analysis from satellite to street-level

In this paper, we discuss and review how combined multi-view imagery fro...

Sébastien Lefèvre, et al. ∙

∙ 11/08/2022

Eat-Radar: Continuous Fine-Grained Eating Gesture Detection Using FMCW Radar and 3D Temporal Convolutional Network

Unhealthy dietary habits are considered as the primary cause of multiple...

Chunzhuo Wang, et al. ∙

∙ 11/06/2022

Evaluating Digital Tools for Sustainable Agriculture using Causal Inference

In contrast to the rapid digitalization of several industries, agricultu...

Ilias Tsoumas, et al. ∙

∙ 09/26/2022

Minimalistic Collective Perception with Imperfect Sensors

Collective perception is a foundational problem in swarm robotics, in wh...

Khai Yi Chin, et al. ∙

∙ 08/24/2022

Flexible control of the median of the false discovery proportion

We introduce a multiple testing method that controls the median of the p...

Jesse Hemerik, et al. ∙

∙ 06/21/2022

Attention-driven Active Vision for Efficient Reconstruction of Plants and Targeted Plant Parts

Visual reconstruction of tomato plants by a robot is extremely challengi...

Akshay K. Burusa, et al. ∙

∙ 05/31/2022

Universal Early Warning Signals of Phase Transitions in Climate Systems

The potential for complex systems to exhibit tipping points in which an ...

Daniel Dylewsky, et al. ∙

∙ 08/03/2021

Impact of Load Demand Dataset Characteristics on Clustering Validation Indices

With the inclusion of smart meters, electricity load consumption data ca...

Mayank Jain, et al. ∙

∙ 01/20/2021

Self-supervised pre-training enhances change detection in Sentinel-2 imagery

While annotated images for change detection using satellite imagery are ...

Marrit Leenstra, et al. ∙

∙ 05/05/2020

Predicting atmospheric optical properties for radiative transfer computations using neural networks

The radiative transfer equations are well-known, but radiation parametri...

Menno A. Veerman, et al. ∙

∙ 08/10/2019

Separable nonlinear least-squares parameter estimation for complex dynamic systems

Nonlinear dynamic models are widely used for characterizing functional f...

Itai Dattner, et al. ∙

∙ 08/12/2019

Citations in Software Engineering -- Paper-related, Journal-related, and Author-related Factors

Many factors could affect the number of citations to a paper. Citations ...

Mika Mäntylä, et al. ∙

∙ 12/11/2018

The Empusa code generator: bridging the gap between the intended and the actual content of RDF resources

The RDF data model facilitates integration of diverse data available in ...

Jesse C. J. van Dam, et al. ∙

∙ 05/24/2018

Dynamic Chain Graph Models for Ordinal Time Series Data

This paper introduces sparse dynamic chain graph models for network infe...

Pariya Behrouzi, et al. ∙

∙ 03/27/2018

DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation

In computer vision, one is often confronted with problems of domain shif...

Bharath Bhushan Damodaran, et al. ∙

∙ 03/16/2018

Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models

In remote sensing images, the absolute orientation of objects is arbitra...

Diego Marcos, et al. ∙

∙ 10/02/2017

Detecting Epistatic Selection with Partially Observed Genotype Data Using Copula Graphical Models

Recombinant Inbred Lines derived from divergent parental lines can displ...

P. Behrouzi, et al. ∙

∙ 10/03/2017

De novo construction of q-ploid linkage maps using discrete graphical models

Linkage maps are important for fundamental and applied genetic research....

Pariya Behrouzi, et al. ∙

∙ 10/03/2017

netgwas: An R Package for Network-Based Genome-Wide Association Studies

Graphical models are powerful tools for modeling and making statistical ...

Pariya Behrouzi, et al. ∙