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Robotic apprentices: Leveraging augmented reality for robot training in manufacturing automation (2020)
Presentation / Conference Contribution

In the scope of Industry 4.0, a framework is proposed to leverage the potential of articulating Augmented Reality and Robotic Manufacturing in the construction industry. The objective of such framework is to enable robots to learn how to perform task... Read More about Robotic apprentices: Leveraging augmented reality for robot training in manufacturing automation.

Researching around our subjects: Working towards a women’s labour history of trade unions in the British film and television industries (2020)
Journal Article

This article explores the opportunities and obstacles of researching women’s trade union activism in the British film and television industries between 1933 and 2017. The surviving material on women’s union participation is incomplete and fragmented,... Read More about Researching around our subjects: Working towards a women’s labour history of trade unions in the British film and television industries.

Two leagues, one front? The India league and the league against imperialism in the British left, 1927-1937 (2020)
Book Chapter

V.K. Krishna Menon always made people angry. When he left southern India in 1924, coming to England under the auspices of his mentor Annie Besant’s Theosophist and Indian Home Rule movement, Menon disappointed his father by not becoming a lawyer and... Read More about Two leagues, one front? The India league and the league against imperialism in the British left, 1927-1937.

Designing mini-games for micro-learning: Open educational resources on cultural risks in multi-cultural organisations (2020)
Presentation / Conference Contribution

The need for self-directed learning for professional development drives an increase in the delivery of easy to use {\textquoteleft}just-in-time{\textquoteright} resources that respond to the often-dynamic workplace and work culture. Micro-learning ha... Read More about Designing mini-games for micro-learning: Open educational resources on cultural risks in multi-cultural organisations.

Interdisciplinary Research in Rajasthan, India: Exploring the Role of Culture and Art to Support Rural Development and Water Management (2020)
Journal Article

This paper examines the role of art and culture in supporting rural development in the context of critical water challenges. It focuses on an interdisciplinary network and research programme conducted in 2018 with the village of Jhakhoda, in Rajastha... Read More about Interdisciplinary Research in Rajasthan, India: Exploring the Role of Culture and Art to Support Rural Development and Water Management.

Husserl’s Timaeus: Plato’s creation myth and the phenomenological concept of metaphysics as the teleological science of the world (2020)
Journal Article

According to Husserl, Plato played a fundamental role in the development of the notion of teleology, so much so that Husserl viewed the myth narrated in the Timaeus as a fundamental stage in the long history that he hoped would eventually lead to a t... Read More about Husserl’s Timaeus: Plato’s creation myth and the phenomenological concept of metaphysics as the teleological science of the world.

Multi-channel ConvNet approach to predict the risk of in-hospital mortality for ICU patients (2020)
Presentation / Conference Contribution

The healthcare arena has been undergoing impressive transformations thanks to advances in the capacity to capture, store, process, and learn from data. This paper re-visits the problem of predicting the risk of in-hospital mortality based on Time Ser... Read More about Multi-channel ConvNet approach to predict the risk of in-hospital mortality for ICU patients.

Generative modeling of synthetic eye-tracking data: NLP-based approach with recurrent neural networks (2020)
Presentation / Conference Contribution

This study explores a Machine Learning-based approach for generating synthetic eye-tracking data. In this respect, a novel application of Recurrent Neural Networks is experimented. Our approach is based on learning the sequence patterns of eye-tracki... Read More about Generative modeling of synthetic eye-tracking data: NLP-based approach with recurrent neural networks.