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Combining text and vision in compound semantics: Towards a cognitively plausi...
In the current state-of-the art distributionalsemantics model of the meaning of noun-noun compounds (such aschainsaw, but-terfly, home phone),CAOSS(Marelli... -
LOD Laundromat (archival package 2016/06)
The LOD Laundromat provides access to a large subset of Linked Open Data (LOD) that is published in today's LOD Cloud. It automatically scrapes and cleans 650 thousand datasets... -
Survey of Malaysian' view on the roles of Artificial Intelligence for the fut...
Questionnaire - Antecedents of generation Z towards digitalisation. A PLS-SEM analysis. Gen Z in Malaysia on the intention to adopt A.I. in Financial Services -
DutchParliament dataset annotated with coreferrence links.
A dataset of 74 documents containing records of parliamentary proceedings from the Dutch Tweede kamer between 2015 and 2020. The data has been manually annotated with... -
Electronic Patient Record Dataset - UK Hospital
Anonymized Electronic Patient Record (EPR) Dataset from a UK-based Hospital. The dataset contains 1,007,727 rows of data collected between 28th February 2016 and 21st August... -
UAVid Dataset
UAVid dataset is a high-resolution UAV semantic segmentation dataset focusing on street scenes. The dataset consists of 30 sequences (seq1 to seq30), which are captured with 4K... -
its4land SmartSkeMa data
Data contains scanned images of sketch maps from different locations, an image file of visual symbols used for stamp-based sketching, and the SmartSkeMa domain models. -
When the Virtual Becomes Reality: An Environmental Scan of the Presence of Vi...
The author’s interest in the subject matter of this paper was peaked during a Grand Rounds presentation at the Tom Baker Cancer Centre in September 2017, lead by a junior... -
Deprivation pockets through the lens of convolutional neural networks
This dataset contains data used for training and validating deep learning models used in the paper: Wang, J., Kuffer, M., Roy, D. and Pfeffer, K., 2019. Deprivation pockets... -
Development of Local Domain Models for customary land tenure regimes and part...
Data consists of domain models of land tenure relations and the entities involved implemented in OWL, and raw data from an evaluation of the SmartSkeMa system which uses these... -
Melanoma ML
CSV files (1-188).csv represent indexed images (quantization depth: 2^8) transformed from RGB (quantization depth: 2^24) dermoscopy images (digital camera: Minolta Dimage Z5... -
Alle Corona Persconferenties geannoteerd met Searle's Speech Acts
A spreadsheet with all Dutch press conferences regarding the Corona/Covid 19 virus from the period March 6th 2020 and April 20th 2021. The conferences are split into sentences,... -
Survey of Malaysian' view on the roles of Artificial Intelligence for the fut...
Gen Z in Malaysia on the intention to adopt A.I. in Financial Services -
UAVid-depth Dataset
The UAVid-depth dataset is created from public UAVid dataset (Lyu et al. 2020) which is a high-resolution UAV semantic segmentation dataset focusing on street scenes. The UAVid... -
UAVid-depth Dataset
The UAVid-depth dataset is created from public UAVid dataset (Lyu et al. 2020) which is a high-resolution UAV semantic segmentation dataset focusing on street scenes. The UAVid... -
Post-Disaster Building Damage Detection from Earth Observation Imagery
The dataset consist of satellite and UAV imagery. The satellite imagery was derived from the xBD dataset (published by XView2 under the CC BY-NC-SA 4.0 license). The original... -
ViTOR: Learning to Rank Webpages Based on Visual Features
The visual appearance of a webpage carries valuable information about page’s quality and can be used to improve the performance of learning to rank (LTR). We introduce the... -
Digital Phenotyping via Social Media Content 1
The research project associated with this dataset delves into the dynamics of the "Stop Gaming" subreddit, where individuals share their personal experiences with gaming... -
Mapping tick dynamics and tick bite risk using data-driven approaches and vol...
This deposit contains the materials used during the development of this PhD thesis. During this research, we applied machine learning methods to obtain new insights about tick...