Explanipedia

SYNCHRONIZATION OF PHYSIOLOGICAL SIGNALS COLLECTED OVER TWO RESEARCH GRADE SOURCES Open

Selin Acan, Clàudia Valenzuela‐Pascual, Filippo Corponi, Bryan M. Li, Diego Hidalgo‐Mazzei , et al. · 2025

Glossary for Research on Human Crowd Dynamics - 2nd Edition Open

Juliane Adrian, Martyn Amos, Cécile Appert-Rolland, Mitra Baratchi, Nikolai W. F. Bode , et al. · 2025

Pedestrian and crowd dynamics involves multiple disciplines, including computer science, engineering, mathematics, physics, bio-mechanics, psychology, social science and more. For effective collaboration between disciplines, researchers ne…

Do I enjoy my friends? Friendship and enjoyment during recess in autistic and non-autistic children Open

Jiayin Zhao, Boya Li, Yung‐Ting Tsou, Mitra Baratchi, Els Blijd-Hoogewys , et al. · 2025

Reducing false positives in strong lens detection through effective augmentation and ensemble learning Open

Samira Rezaei, Amirmohammad Chegeni, B.C Nagam, J. P. McKean, Mitra Baratchi , et al. · 2025

This research studies the impact of high-quality training data sets on the performance of Convolutional Neural Networks (CNNs) in detecting strong gravitational lenses. We stress the importance of data diversity and representativeness, dem…

AutoMergeNet: AutoML-Based M-Source Satellite Data Fusion Evaluated With Atmospheric Case Studies Open

Julia Wąsala, Joannes D. Maasakkers, Berend J. Schuit, Gijs Leguijt, Ilse Aben , et al. · 2025

Accurate detection of anomalous phenomena in satellite data often requires data layers containing complementary information (e.g., data from different sensors, auxiliary features, such as land cover maps, and metadata regarding data qualit…

Training-free thick cloud removal for Sentinel-2 imagery using value propagation interpolation Open

Laurens Arp, Holger H. Hoos, Peter M. van Bodegom, Alistair Francis, James Wheeler , et al. · 2024

NWO

Social connectedness and loneliness in school for autistic and allistic children Open

Yung‐Ting Tsou, Maedeh Nasri, Boya Li, Els Blijd-Hoogewys, Mitra Baratchi , et al. · 2024

Autistic children are often reported less socially connected, while recent studies show autistic children experiencing more loneliness in school than allistic (i.e. non-autistic) children, contradicting the traditional view that autistic c…

Automated machine learning: past, present and future Open

Mitra Baratchi, Can Wang, Steffen Limmer, Jan N. van Rijn, Holger H. Hoos , et al. · 2024

Automated machine learning (AutoML) is a young research area aiming at making high-performance machine learning techniques accessible to a broad set of users. This is achieved by identifying all design choices in creating a machine-learnin…

AutoSR4EO: An AutoML Approach to Super-Resolution for Earth Observation Images Open

Julia Wąsala, Suzanne Marselis, Laurens Arp, Holger H. Hoos, Nicolas Longépé , et al. · 2024

Super-resolution (SR), a technique to increase the resolution of images, is a pre-processing step in the pipelines of applications of Earth observation (EO) data. The manual design and optimisation of SR models that are specific to every p…

A novel metric to measure spatio-temporal proximity: a case study analyzing children’s social network in schoolyards Open

Maedeh Nasri, Mitra Baratchi, Yung‐Ting Tsou, Sarah Giest, Alexander Koutamanis , et al. · 2023

The present study aims to infer individuals’ social networks from their spatio-temporal behavior acquired via wearable sensors. Previously proposed static network metrics (e.g., centrality measures) cannot capture the complex temporal patt…

Social connectedness at the playground before and after COVID-19 school closure Open

Adva Eichengreen, Yung‐Ting Tsou, Maedeh Nasri, Lisa‐Maria van Klaveren, Boya Li , et al. · 2023

The impact of loose‐parts‐play on schoolyard social participation of children with and without disabilities: A case study Open

Adva Eichengreen, Martin van Rooijen, Lisa‐Maria van Klaveren, Maedeh Nasri, Yung‐Ting Tsou , et al. · 2023

Background Outdoor social participation in the school playground is crucial for children's socio‐emotional and cognitive development. Yet, many children with disabilities in mainstream educational settings are not socially included within …

Automated classification of pre-defined movement patterns: A comparison between GNSS and UWB technology Open

Rodi Laanen, Maedeh Nasri, Richard M. K. van Dijk, Mitra Baratchi, Alexander Koutamanis , et al. · 2023

Advanced real-time location systems (RTLS) allow for collecting spatio-temporal data from human movement behaviours. Tracking individuals in small areas such as schoolyards or nursing homes might impose difficulties for RTLS in terms of po…

Unsupervised discretization by two-dimensional MDL-based histogram Open

Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen · 2023

Unsupervised discretization is a crucial step in many knowledge discovery tasks. The state-of-the-art method for one-dimensional data infers locally adaptive histograms using the minimum description length (MDL) principle, but the multi-di…

AutoML for estimating grass height from ETM+/OLI data from field measurements at a nature reserve Open

Nuno César de Sá, Mitra Baratchi, Vincent Buitenhuis, Perry Cornelissen, Peter M. van Bodegom · 2022

Remote sensing (RS) is now a standard tool used for grassland monitoring thanks to the availability of data at an unprecedented spatial and temporal resolution. The approaches to monitor grasslands often rely on the use of vegetation indic…

Correction: Nasri et al. A Novel Data-Driven Approach to Examine Children’s Movements and Social Behaviour in Schoolyard Environments. Children 2022, 9, 1177 Open

Maedeh Nasri, Yung‐Ting Tsou, Alexander Koutamanis, Mitra Baratchi, Sarah Giest , et al. · 2022

The authors request the following corrections because the changes made according to the second round of the review process were not included in the original publication [...]

Role of movement data in creating inclusive school settings for students Open

Maedeh Nasri, Sarah Giest, Yung‐Ting Tsou, Mitra Baratchi, Alexander Koutamanis , et al. · 2022

There is limited robust evidence to support public decision-making around inclusive school settings. Education has been compared negatively with the medical profession regarding its engagement with evidence-based practices. However, innova…

A Novel Data-driven Approach to Examine Children’s Movements and Social Behaviour in Schoolyard Environments Open

Maedeh Nasri, Yung‐Ting Tsou, Alexander Koutamanis, Mitra Baratchi, Sarah Giest , et al. · 2022

Social participation in schoolyards is crucial for children’s development. Yet, schoolyard environments contain features that can hinder children’s social participation. In this paper, we empirically examine schoolyards to identify existin…

VPint: value propagation-based spatial interpolation Open

Laurens Arp, Mitra Baratchi, Holger H. Hoos · 2022

End-to-End Pipeline for Uncertainty Quantification and Remaining Useful Life Estimation: An Application on Aircraft Engines Open

Marios Kefalas, Bas van Stein, Mitra Baratchi, Asteris Apostolidis, Thomas Baeck · 2022

Estimating the remaining useful life (RUL) of an asset lies at the heart of prognostics and health management (PHM) of many operations-critical industries such as aviation. Modern methods of RUL estimation adopt techniques from deep learni…

Towards Time-Series Feature Engineering in Automated Machine Learning for Multi-Step-Ahead Forecasting Open

Can Wang, Mitra Baratchi, Thomas Bäck, Holger H. Hoos, Steffen Limmer , et al. · 2022

Feature engineering is an essential step in the pipelines used for many machine learning tasks, including time-series forecasting. Although existing AutoML approaches partly automate feature engineering, they do not support specialised app…

A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation Open

Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fábio Crestani · 2022

As the popularity of Location-based Social Networks increases, designing accurate models for Point-of-Interest (POI) recommendation receives more attention. POI recommendation is often performed by incorporating contextual information into…

A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation Open

Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fábio Crestani · 2022

As the popularity of Location-based Social Networks (LBSNs) increases, designing accurate models for Point-of-Interest (POI) recommendation receives more attention. POI recommendation is often performed by incorporating contextual informat…

Automated Machine Learning for COVID-19 Forecasting Open

Jaco Tetteroo, Mitra Baratchi, Holger H. Hoos · 2022

In the context of the current COVID-19 pandemic, various sophisticated epidemic and machine learning models have been used for forecasting. These models, however, rely on carefully selected architectures and detailed data that is often onl…

MultiETSC: automated machine learning for early time series classification Open

Gilles Ottervanger, Mitra Baratchi, Holger H. Hoos · 2021

Automated Machine Learning for Remaining Useful Life Estimation of Aircraft Engines Open

Marios Kefalas, Mitra Baratchi, Asteris Apostolidis, Dirk van den Herik, Thomas Bäck · 2021

Remaining useful life (RUL) of an asset or system is defined as the length from the current time and operating state to the end of the useful life. It is of paramount importance for safety-critical industries such as aviation and lies in t…

Value propagation-based spatio-temporal interpolation inspired by Markov reward processes Open

Arp L, Mitra Baratchi, Holger H. Hoos · 2021

Given the common problem of missing data in real-world applications from various fields, such as remote sensing, ecology and meteorology, the interpolation of missing spatial and spatio-temporal data can be of tremendous value. Existing me…

Exploring the Impact of Noise on Hybrid Inversion of PROSAIL RTM on Sentinel-2 Data Open

Nuno César de Sá, Mitra Baratchi, Leon T. Hauser, Peter M. van Bodegom · 2021

Remote sensing (RS) of biophysical variables plays a vital role in providing the information necessary for understanding spatio-temporal dynamics in ecosystems. The hybrid approach to retrieve biophysical variables from RS by combining Mac…

An Intelligent Tree Planning Approach Using Location-Based Social Networks Data Open

Jan H. van Staalduinen, Jaco Tetteroo, Daniela Gawehns, Mitra Baratchi · 2021

Unsupervised Discretization by Two-dimensional MDL-based Histogram Open

Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen · 2020

Unsupervised discretization is a crucial step in many knowledge discovery tasks. The state-of-the-art method for one-dimensional data infers locally adaptive histograms using the minimum description length (MDL) principle, but the multi-di…

Mitra Baratchi YOU? Author Swipe