research
∙
07/03/2023
Human in the AI loop via xAI and Active Learning for Visual Inspection
Industrial revolutions have historically disrupted manufacturing by intr...
share
research
∙
04/10/2023
Classification of news spreading barriers
News media is one of the most effective mechanisms for spreading informa...
research
∙
01/13/2023
Classification of Cross-cultural News Events
We present a methodology to support the analysis of culture from text su...
research
∙
01/13/2023
Using the profile of publishers to predict barriers across news articles
Detection of news propagation barriers, being economical, cultural, poli...
research
∙
12/19/2022
Robust Anomaly Map Assisted Multiple Defect Detection with Supervised Classification Techniques
Industry 4.0 aims to optimize the manufacturing environment by leveragin...
research
∙
12/19/2022
Synthetic Data Augmentation Using GAN For Improved Automated Visual Inspection
Quality control is a crucial activity performed by manufacturing compani...
research
∙
12/15/2022
Political and Economic Patterns in COVID-19 News: From Lockdown to Vaccination
The purpose of this study is to analyse COVID-19 related news published ...
research
∙
12/15/2022
Analysis of information cascading and propagation barriers across distinctive news events
News reporting on events that occur in our society can have different st...
research
∙
12/01/2022
A Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines
Predicting the political polarity of news headlines is a challenging tas...
research
∙
09/28/2022
Machine Beats Machine: Machine Learning Models to Defend Against Adversarial Attacks
We propose using a two-layered deployment of machine learning models to ...
research
∙
09/28/2022
Forecasting Sensor Values in Waste-To-Fuel Plants: a Case Study
In this research, we develop machine learning models to predict future s...
research
∙
09/12/2022
Active Learning and Approximate Model Calibration for Automated Visual Inspection in Manufacturing
Quality control is a crucial activity performed by manufacturing enterpr...
research
∙
04/12/2022
Enriching Artificial Intelligence Explanations with Knowledge Fragments
Artificial Intelligence models are increasingly used in manufacturing to...
research
∙
03/21/2022
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications
Human-centricity is the core value behind the evolution of manufacturing...
research
∙
10/15/2021
Streaming Machine Learning and Online Active Learning for Automated Visual Inspection
Quality control is a key activity performed by manufacturing companies t...
research
∙
09/06/2021
Active Learning for Automated Visual Inspection of Manufactured Products
Quality control is a key activity performed by manufacturing enterprises...
research
∙
07/05/2021
Knowledge Modelling and Active Learning in Manufacturing
The increasing digitalization of the manufacturing domain requires adequ...
research
∙
07/05/2021
A Review of Explainable Artificial Intelligence in Manufacturing
The implementation of Artificial Intelligence (AI) systems in the manufa...
research
∙
05/05/2021
XAI-KG: knowledge graph to support XAI and decision-making in manufacturing
The increasing adoption of artificial intelligence requires accurate for...
research
∙
04/02/2021
STARdom: an architecture for trusted and secure human-centered manufacturing systems
There is a lack of a single architecture specification that addresses th...
research
∙
04/01/2021
Semantic XAI for contextualized demand forecasting explanations
The paper proposes a novel architecture for explainable AI based on sema...
research
∙
03/30/2021
Towards Active Learning Based Smart Assistant for Manufacturing
A general approach for building a smart assistant that guides a user fro...
research
∙
03/23/2021
Actionable Cognitive Twins for Decision Making in Manufacturing
Actionable Cognitive Twins are the next generation Digital Twins enhance...
research
∙
03/23/2021
Reframing demand forecasting: a two-fold approach for lumpy and intermittent demand
Demand forecasting is a crucial component of demand management. While sh...
research
∙
07/20/2016
Constructing a Natural Language Inference Dataset using Generative Neural Networks
Natural Language Inference is an important task for Natural Language Und...
research
∙
01/05/2016
Joint learning of ontology and semantic parser from text
Semantic parsing methods are used for capturing and representing semanti...
research
∙
03/25/2011
