Search Results for author: Alessandra Mileo

Found 9 papers, 2 papers with code

A Systematic Review of Available Datasets in Additive Manufacturing

no code implementations27 Jan 2024 Xiao Liu, Alessandra Mileo, Alan F. Smeaton

In-situ monitoring incorporating data from visual and other sensor technologies, allows the collection of extensive datasets during the Additive Manufacturing (AM) process.

Defect Detection

Proceedings 39th International Conference on Logic Programming

no code implementations28 Aug 2023 Enrico Pontelli, Stefania Costantini, Carmine Dodaro, Sarah Gaggl, Roberta Calegari, Artur d'Avila Garcez, Francesco Fabiano, Alessandra Mileo, Alessandra Russo, Francesca Toni

This volume contains the Technical Communications presented at the 39th International Conference on Logic Programming (ICLP 2023), held at Imperial College London, UK from July 9 to July 15, 2023.

Ethics

Defect Classification in Additive Manufacturing Using CNN-Based Vision Processing

no code implementations14 Jul 2023 Xiao Liu, Alessandra Mileo, Alan F. Smeaton

The development of computer vision and in-situ monitoring using visual sensors allows the collection of large datasets from the additive manufacturing (AM) process.

Active Learning

Image Data Augmentation Approaches: A Comprehensive Survey and Future directions

no code implementations7 Jan 2023 Teerath Kumar, Alessandra Mileo, Rob Brennan, Malika Bendechache

To cope with this problem, various techniques have been proposed such as dropout, normalization and advanced data augmentation.

Data Augmentation Image Classification +3

An adaptive human-in-the-loop approach to emission detection of Additive Manufacturing processes and active learning with computer vision

no code implementations12 Dec 2022 Xiao Liu, Alan F. Smeaton, Alessandra Mileo

More specifically, this paper will look at two scenarios: firstly, using convolutional neural networks (CNNs) to automatically inspect and classify emission data collected by in-situ monitoring and secondly, applying Active Learning techniques to the developed classification model to construct a human-in-the-loop mechanism in order to accelerate the labeling process of the emission data.

Active Learning Transfer Learning

Workshop Notes of the 6th International Workshop on Acquisition, Representation and Reasoning about Context with Logic (ARCOE-Logic 2014)

no code implementations30 Dec 2014 Michael Fink, Martin Homola, Alessandra Mileo

ARCOE-Logic 2014, the 6th International Workshop on Acquisition, Representation and Reasoning about Context with Logic, was held in co-location with the 19th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2014) on November 25, 2014 in Link\"oping, Sweden.

Management

Probabilistic Inductive Logic Programming Based on Answer Set Programming

1 code implementation4 May 2014 Matthias Nickles, Alessandra Mileo

We propose a new formal language for the expressive representation of probabilistic knowledge based on Answer Set Programming (ASP).

Inductive logic programming

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