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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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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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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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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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Guendel, Ronny (author), Ullmann, I. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
Radar-based human activity recognition in crowded environments using regression approaches is addressed. Whereas previous research has focused on single activities and subjects, the problem of continuous activity recognition involving up to five individuals moving in arbitrary directions in an indoor area is introduced. To treat the problem, a...
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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Wenzel, P.A. (author), Jovanovic, Raka (author), Schulte, F. (author)
Ensuring the accuracy of the estimated time of arrival (ETA) information for ships approaching ports and inland terminals is increasingly critical today. Waterway transportation plays a vital role in freight transportation and has a significant ecological impact. Improving the accuracy of ETA predictions can enhance the reliability of inland...
conference paper 2023
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Wang, Z. (author), Pel, A.J. (author), Verma, T. (author), Krishnakumari, P.K. (author), van Brakel, Peter (author), van Oort, N. (author)
Predictions on public transport ridership are beneficial as they allow for sufficient and cost-efficient deployment of vehicles. At an operational level, this relates to short-term predictions with lead times of less than an hour. Where conventional data sources on ridership, such as Automatic Fare Collection (AFC) data, may have longer lag...
conference paper 2022
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Murray-Rust, D.S. (author), Nicenboim, I. (author), Lockton, D (author)
In this paper, we explore the use of metaphors for people working with artificial intelligence, in particular those that support designers in thinking about the creation of AI systems. Metaphors both illuminate and hide, simplifying and connecting to existing knowledge, centring particular ideas, marginalising others, and shaping fields of...
conference paper 2022
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Chandrasegaran, R.S.K. (author), Akdag Salah, A.A. (author), Lloyd, P.A. (author)
Abstract. Analysing records of design activity such as transcripts or documents have typically involved close reading of transcripts and manual identification of concepts and behaviours. We explore the applicability of a machine-learning based computational tool—called Empath—in identifying high-level patterns in design talk. Specifically, we...
conference paper 2022
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Bernardini, Giulia (author), van Iersel, L.J.J. (author), Julien, E.A.T. (author), Stougie, Leen (author)
Combining a set of phylogenetic trees into a single phylogenetic network that explains all of them is a fundamental challenge in evolutionary studies. In this paper, we apply the recently-introduced theoretical framework of cherry picking to design a class of heuristics that are guaranteed to produce a network containing each of the input...
conference paper 2022
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Apruzzese, Giovanni (author), Conti, M. (author), Yuan, Ying (author)
Existing literature on adversarial Machine Learning (ML) focuses either on showing attacks that break every ML model, or defenses that withstand most attacks. Unfortunately, little consideration is given to the actual cost of the attack or the defense. Moreover, adversarial samples are often crafted in the "feature-space", making the...
conference paper 2022
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Izadi, M. (author)
Users use Issue Tracking Systems to keep track and manage issue reports in their repositories. An issue is a rich source of software information that contains different reports including a problem, a request for new features, or merely a question about the software product. As the number of these issues increases, it becomes harder to manage...
conference paper 2022
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Delfos, J. (author), Zuiderwijk-van Eijk, A.M.G. (author), van Cranenburgh, S. (author), Chorus, C.G. (author)
As the application of machine learning (ML) algorithms becomes more widespread, governmental organisations try to benefit from this technology. While ML has the potential to support public services, its application also introduces challenges. Several scholars have described the possible opportunities and challenges of ML applications in the...
conference paper 2022
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Mir, S.A.M. (author), Latoskinas, Evaldas (author), Proksch, S. (author), Gousios, G. (author)
Dynamic languages, such as Python and Javascript, trade static typing for developer flexibility and productivity. Lack of static typing can cause run-time exceptions and is a major factor for weak IDE support. To alleviate these issues, PEP 484 introduced optional type annotations for Python. As retrofitting types to existing code-bases is...
conference paper 2022
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Zhang, H. (author), Cruz, Luis (author), van Deursen, A. (author)
The popularity of machine learning has wildly expanded in recent years. Machine learning techniques have been heatedly studied in academia and applied in the industry to create business value. However, there is a lack of guidelines for code quality in machine learning applications. In particular, code smells have rarely been studied in this...
conference paper 2022
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Applis, L.H. (author), Panichella, A. (author), van Deursen, A. (author)
Metamorphic testing is a well-established testing technique that has been successfully applied in various domains, including testing deep learning models to assess their robustness against data noise or malicious input. Currently, metamorphic testing approaches for machine learning (ML) models focused on image processing and object recognition...
conference paper 2021
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Rózsás, Árpád (author), Slobbe, Arthur (author), Huizinga, Wyke (author), Kruithof, Maarten (author), Giardina, Giorgia (author)
The degree of similarity between damage patterns often correlates with the likelihood of having similar damage causes. Therefore, deciding whether crack patterns are similar is one of the key steps in assessing the conditions of masonry structures. To our knowledge, no literature has been published regarding masonry crack pattern similarity...
conference paper 2021
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van Oort, B. (author), Cruz, Luis (author), Aniche, Maurício (author), van Deursen, A. (author)
Artificial Intelligence (AI) and Machine Learning (ML) are pervasive in the current computer science landscape. Yet, there still exists a lack of software engineering experience and best practices in this field. One such best practice, static code analysis, can be used to find code smells, i.e., (potential) defects in the source code,...
conference paper 2021
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