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Llasag Rosero, Raúl (author), Silva, Catarina (author), Ribeiro, Bernardete (author), Santos, Bruno F. (author)Artificial Intelligence (AI) is transforming the future of industries by introducing new paradigms. To address data privacy and other challenges of decentralization, research has focused on Federated Learning (FL), which combines distributed Machine Learning (ML) models from multiple parties without exchanging confidential information....journal article 2024
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Bustio-Martínez, Lázaro (author), Herrera-Semenets, Vitali (author), García-Mendoza, Juan-Luis (author), González-Ordiano, Jorge Ángel (author), Zúñiga-Morales, Luis (author), Sánchez Rivero, Rubén (author), Quiróz-Ibarra, José Emilio (author), Santander-Molina, Pedro Antonio (author), van den Berg, Jan (author), Buscaldi, Davide (author)Persuasion is a human activity of influence. In marketing, persuasion can help customers find solutions to their problems, make informed choices, or convince someone to buy a useful (or useless) product or service. In computer crimes, persuasion can trick users into revealing sensitive information, or even performing actions that benefit...conference paper 2024
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Ewald, Vincentius (author)One of the classical solutions to maintain the aircraft structural integrity is to rely on the analysis of non-destructive testing (NDT) inspector with various inspection methods. However, it is relatively expensive in matter of time and costs to train human resources until the certification is reached. Further, in majority of the cases of...doctoral thesis 2023
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Egberts, G. (author)Burns can make patients’ lives quite miserable. Apart from prominent and thickened, or hypertrophic, scars, the skin may be characterized by contraction. When this contraction is so severe that the patient loses joint mobility, it is called contracture. Then a patient may have difficulties with sports or other daily activities. The consequence...doctoral thesis 2023
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- Pahlavani, H. (author) doctoral thesis 2023
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Viering, T.J. (author)This dissertation focuses on safety in machine learning. Our adopted safety notion is related to robustness of learning algorithms. Related to this concept, we touch upon three topics: explainability, active learning and learning curves.<br/><br/>Complex models can often achieve better performance compared to simpler ones. Such larger models are...doctoral thesis 2023
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- Delgado Blasco, José Manuel (author) doctoral thesis 2023
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Wang, C. (author)The scale of the power system has been significantly expanded in recent decades. To gain real-time insights into the power system, an increasing number of sensors have been deployed tomonitor grid states, resulting in a rapidly growing number of measurement points. Simultaneously, there has also been a rise in the penetration of renewable energy...doctoral thesis 2023
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Kartal, S. (author)Spatiotemporal time series prediction plays a crucial role in a wide range of applications. However, in most of the studies, spatial information was ignored and predictions were carried out either on a few points or on average values. In this study, 37 different configurations of 4 traditional ML models and 3 Neural Network (NN) based models...journal article 2023
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Applis, L.H. (author), Panichella, A. (author), Marang, R.J. (author)More machine learning (ML) models are introduced to the field of Software Engineering (SE) and reached a stage of maturity to be considered for real-world use; But the real world is complex, and testing these models lacks often in explainability, feasibility and computational capacities. Existing research introduced meta-morphic testing to...conference paper 2023
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Reed, Robert (author), Laurenti, L. (author), Lahijanian, Morteza (author)Deep Kernel Learning (DKL) combines the representational power of neural networks with the uncertainty quantification of Gaussian Processes. Hence, it is potentially a promising tool to learn and control complex dynamical systems. In this letter, we develop a scalable abstraction-based framework that enables the use of DKL for control...journal article 2023
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Tselentis, D. (author), Papadimitriou, E. (author), van Gelder, P.H.A.J.M. (author)Recent research in transport safety focuses on the processing of large amounts of available data by means of intelligent systems, in order to decrease the number of accidents for transportation users. Several Machine Learning (ML) and Artificial Intelligence (AI) applications have been developed to address safety problems and improve efficiency...journal article 2023
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Aleebrahimdehkordi, M. (author), Lechner, J.M. (author), Ghorbani, Amineh (author), Nikolic, I. (author), Chappin, E.J.L. (author), Herder, P.M. (author)Agent-based modelling and simulation (ABMS), whether simple toy models or complex data-driven ones, is regularly applied in various domains to study the system-level patterns arising from individual behaviour and interactions. However, ABMS still faces diverse challenges such as modelling more representative agents or improving computational...journal article 2023
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Bai, N. (author), Ducci, Marta (author), Mirzikashvili, Rusudan (author), Nourian, Pirouz (author), Pereira Roders, A. (author)The UNESCO 2011 Recommendation on the Historic Urban Landscape promotes to map cultural significance of urban heritage from the perspectives of the general public in pursuit of social inclusion in heritage management. The user-generated information already available on social media platforms in the form of images, comments, and ratings can be...conference paper 2023
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Jung, Jiwon (author), Kim, K. (author), Peters, T. (author), Snelders, H.M.J.J. (author), Kleinsmann, M.S. (author)Designers are increasingly collaborating with data scientists to apply smart data technologies to understand large-scale user behavior during their design research. This is useful in specific impact domains with vulnerable users and unfamiliar contexts, such as healthcare design. Patient journey mapping is the most common design tool for...journal article 2023
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Xie, H. (author), Bellizio, Federica (author), Cremer, Jochen (author), Strbac, Goran (author)Due to the increasing system stability issues caused by the technological revolutions of power system equipment, the assessment of the dynamic security of the systems for changing operating conditions (OCs) is nowadays crucial. To address the computational time problem of conventional dynamic security assessment tools, many machine learning ...conference paper 2023
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Escuin, Carlos (author), García-Redondo, Fernando (author), Zahedi, M.Z. (author), Ibáñez, Pablo (author), Monreal, Teresa (author), Viñals, Victor (author), Llabería, José María (author), Myers, James (author), Ryckaert, Julien (author), Biswas, Dwaipayan (author), Catthoor, Francky (author)This paper optimizes the MNEMOSENE architecture, a compute-in-memory (CiM) tile design integrating computation and storage for increased efficiency. We identify and address bottlenecks in the Row Data (RD) buffer that cause losses in performance. Our proposed approach includes mitigating these buffering bottlenecks and extending MNEMOSENE’s...conference paper 2023
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Johri, Riddhi (author), Pandey, Pankaj (author), Miyapuram, Krishna Prasad (author), Lomas, J.D. (author)Advances in neurotechnology have enhanced and simplified our ability to research brain activity with low-cost and effective equipment. One such scalable and noninvasive technique is Electroencephalography (EEG), which detects and records electrical brain activity. Brain activity recognition is one of the emerging problems as EEG wearables...conference paper 2023
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Tselentis, D. (author), Papadimitriou, E. (author)This study reviews the Artificial Intelligence and Machine Learning approaches developed thus far for driver profile and driving pattern recognition, representing a set of macroscopic and microscopic behaviors respectively, to enhance the understanding of human factors in road safety, and therefore reduce the number of crashes. It provides a...journal article 2023
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Kamel Targhi, Elahe (author), Emami Niri, Mohammad (author), Zitha, P.L.J. (author)Cross-linked polymer gel is widely used in the oil and gas industry to block high permeability conduits and reduce water cut. The complex nature of this fluid, especially regarding flow in porous media, makes its numerical simulation very time-consuming. This study presents an approach to designing an Artificial Neural Network (ANN) model...journal article 2023