DDSP-Piano: Differentiable Piano model for MIDI-to-Audio Performance Synthesis
MIDI-to-Audio piano synthesizer based on DDSP.
MIDI-to-Audio piano synthesizer based on DDSP. read more of DDSP-Piano: Differentiable Piano model for MIDI-to-Audio Performance Synthesis
This recurrent neural network model exploits historical data measured from machine sensors to perform inference on future usage and detect possible future faults in the machine itself. Explainability metrics targets sensor groups and are powered by the SH... read more of GRU + SHAP - Explainable Predictive Maintenance for Irregular Multivariate Time Series
This regression model exploits historical data measured from machine sensors to perform inference on future usage and detect possible future faults in the machine itself. Explainability metrics targets sensor groups and are powered by the SHAP library. read more of Facebook Prophet + SHAP - Explainable Predictive Maintenance for Regular Multivariate Time Series
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... read more of OpenManufacturing Ontology
self-X autonomic supervised and unsupervised feature selection read more of s-X-AIPI self-X Data Exploration in R
Datasets of the LeQua 2024 Learning to Quantify Data Challenge read more of Learning to quantify: LeQua 2024 dataset
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... read more of Generalized Funnelling
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. read more of ICS: Interactive Classification System
This data set comprises a labelled training set used in the experimentation of the paper "Binary Quantification and Dataset Shift: An Experimental Investigation". read more of Product Reviews Dataset
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 ... read more of Word-Class Embeddings for Multiclass Text Classification
QuaPy is an open source framework for quantification (a.k.a. supervised prevalence estimation, or learning to quantify) written in Python. read more of QuaPy
ql4facct is a software for replicating experiments concerning the evaluation of estimators of classifier "fairness". read more of A quantification-based method for the estimation of algorithmic fairness
This lecture overviews the relation between AI and book publishing. read more of AI and Book Publishing
Is “AI Science and Engineering” an un upcoming scientific discipline that can fuse AI, brain and mind studies and social engineering? read more of AI Science and Engineering: Societal and Environmental Impact
This lecture overviews the impact of AI on Education Sciences. read more of AI and Education Sciences
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... read more of Introduction to Containers with Docker
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... read more of Introduction to Cloud/edge computing
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... read more of AI for NDM Challenge
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... read more of Flash flood modeling and in urban areas using High Resolution hydrodynamic model and machine learning models
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... read more of Multimodal Analysis of Geo-social Media Data for Improved Disaster Management: From Science to Digital Practice
A collection of online Artificial Intelligence Conference lists recommended by AUTH. read more of Artificial Intelligence Conferences
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... read more of Robust Statistics Lecture
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... read more of Statistical Detection Lecture
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... read more of Introduction to Statistics Lecture
The ASSISTANT Industrial Workshop will take place on September 26th at Bluepoint Brussels, in collaboration with EFFRA's Manufacturing Partnership Day event. read more of Join us at the ASSISTANT Industrial Workshop
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. read more of The EU AI Act’s Risk-Based Approach: High-Risk Systems and What They Mean for Users
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. read more of Companies and Organizations Can Leverage AI to Improve Recycling
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 ... read more of Heilbronn is to become Europe’s Nr.1 AI-location – Campus Founders supports European AI-Startups with its own incubation program
The micro-project investigated recent machine and deep learning-based methods for modeling event interactions through temporal processes. read more of Human Behavior is a matter of Time! Modeling Events Interactions through Temporal Processes