no code implementations • 10 May 2024 • Teerath Kumar, Alessandra Mileo, Malika Bendechache
Advanced image data augmentation techniques play a pivotal role in enhancing the training of models for diverse computer vision tasks.
no code implementations • 30 Apr 2024 • Maarten C. Stol, Alessandra Mileo
Neurosymbolic background knowledge and the expressivity required of its logic can break Machine Learning assumptions about data Independence and Identical Distribution.
no code implementations • 27 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.
1 code implementation • 9 Sep 2023 • Teerath Kumar, Muhammad Turab, Alessandra Mileo, Malika Bendechache, Takfarinas Saber
To address this gap, we introduce AudRandAug, an adaptation of RandAug for audio data.
no code implementations • 28 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.
no code implementations • 14 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.
no code implementations • 7 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.
no code implementations • 12 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.
no code implementations • 19 Sep 2020 • Francesco Ricca, Alessandra Russo, Sergio Greco, Nicola Leone, Alexander Artikis, Gerhard Friedrich, Paul Fodor, Angelika Kimmig, Francesca Lisi, Marco Maratea, Alessandra Mileo, Fabrizio Riguzzi
Since the first conference held in Marseille in 1982, ICLP has been the premier international event for presenting research in logic programming.
no code implementations • 30 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.
1 code implementation • 4 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).