OpenManufacturing ontology extends the OpenML ontology that contains classes for representing different aspects of machine learning. OpenManufacturing extends the base ontology adding two main classes and three taxonomies representing elements relevant to...
self-X autonomic supervised and unsupervised feature selection
Datasets of the LeQua 2024 Learning to Quantify Data Challenge
Cross-lingual Text Classification (CLC) consists of automatically classifying, according to a common set C of classes, documents each written in one of a set of languages L, and doing so more accurately than when “naïvely” classifying each document via it...
The Interactive Classification System (ICS), is a web-based application that supports the activity of manual text classification, i.e., labeling documents according to their content.
This data set comprises a labelled training set used in the experimentation of the paper "Binary Quantification and Dataset Shift: An Experimental Investigation".
Word-Class Embeddings (WCEs) are a form of supervised embeddings specially suited for multiclass text classification. WCEs are meant to be used as extensions (i.e., by concatenation) to pre-trained embeddings (e.g., GloVe or word2vec) embeddings in order ...
ql4facct is a software for replicating experiments concerning the evaluation of estimators of classifier "fairness".
This data set comprises a labeled training set, validation samples, and testing samples for ordinal quantification. It appears in our research paper "Ordinal Quantification Through Regularization", which we have published at ECML-PKDD 2022.
The aim of the LeQua 2022 dataset is to allow the comparative evaluation of methods for “learning to quantify” in textual datasets, i.e., methods for training predictors of the relative frequencies of the classes of interest in sets of unlabelled textual ...
This record consists of several scripts and files designed to calculate and visualize the efficiency of a burner, as well as predict the burner power using a neural network model. This model consists of a sequential neural network with multiple layers. Bo...
This short course on Cloud/Edge Computing for Deep Learning and Big Data Analytics provides a comprehensive overview and detailed presentation of advanced technologies utilized in distributed computational systems. Distributed computing plays a critical r...
This short course on Cloud/Edge Computing for Deep Learning and Big Data Analytics provides a comprehensive overview and detailed presentation of advanced technologies utilized in distributed computational systems. Distributed computing plays a critical r...
Natural Disaster Management (NDM) is a complex task, requiring a plethora of different methods to facilitate it. Artificial Intelligence (AI) can be instrumental in this cause, by providing quick and reliable solutions to many problems related to NDM, suc...
This short course on Big Data Analytics for Natural Disaster Management (NDM) provides a comprehensive overview and in-depth presentation of advanced technologies involved in the acquisition and analysis of Big Data for NDM. NDM can be greatly improved by...
This short course on Big Data Analytics for Natural Disaster Management (NDM) provides a comprehensive overview and in-depth presentation of advanced technologies involved in the acquisition and analysis of Big Data for NDM. NDM can be greatly improved by...
A collection of online Artificial Intelligence Conference lists recommended by AUTH.
Many CVML scientists, engineers and enthusiasts do not have solid mathematical background, as it is so easy to jump into almost any CVML domain using available libraries and frameworks. This is very much true in Deep Learning and leads to a cacophony of i...
Many CVML scientists, engineers and enthusiasts do not have solid mathematical background, as it is so easy to jump into almost any CVML domain using available libraries and frameworks. This is very much true in Deep Learning and leads to a cacophony of i...
Many CVML scientists, engineers and enthusiasts do not have solid mathematical background, as it is so easy to jump into almost any CVML domain using available libraries and frameworks. This is very much true in Deep Learning and leads to a cacophony of i...
Many CVML scientists, engineers and enthusiasts do not have solid mathematical background, as it is so easy to jump into almost any CVML domain using available libraries and frameworks. This is very much true in Deep Learning and leads to a cacophony of i...
Many CVML scientists, engineers and enthusiasts do not have solid mathematical background, as it is so easy to jump into almost any CVML domain using available libraries and frameworks. This is very much true in Deep Learning and leads to a cacophony of i...
Many CVML scientists, engineers and enthusiasts do not have solid mathematical background, as it is so easy to jump into almost any CVML domain using available libraries and frameworks. This is very much true in Deep Learning and leads to a cacophony of i...
The ASSISTANT Industrial Workshop will take place on September 26th at Bluepoint Brussels, in collaboration with EFFRA's Manufacturing Partnership Day event.
The mass adoption of AI is ubiquitous across sectors. While this can have many benefits, the use of these systems can pose novel risks if gone unchecked.
In this article, we will take a look at how AI can improve recycling efforts and the data annotation that is essential to create a smarter way to recycle.
Heilbronn, September 15th, 2022 – Solving the challenges of the future with artificial intelligence. To support making this a reality more often, Campus Founders launches its startup incubator program "AI Founders". In cooperation with ZFHN Zukunftsfonds ...