Searched for: subject%3A%22Natural%255C%252BLanguage%255C%252BProcessing%22
(1 - 16 of 16)
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Shome, A. (author), Cruz, Luis (author), van Deursen, A. (author)
Visualisations drive all aspects of the Machine Learning (ML) Development Cycle but remain a vastly untapped resource by the research community. ML testing is a highly interactive and cognitive process which demands a human-in-the-loop approach. Besides writing tests for the code base, bulk of the evaluation requires application of domain...
conference paper 2023
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Xu, Y. (author), Krishnakumari, P.K. (author), Yorke-Smith, N. (author), Hoogendoorn, S.P. (author)
COVID-19 significantly influenced travel behaviours and public attitudes towards public transport. Various studies have illustrated complicated factors related to long-term travel behaviour, indicating difficulty in understanding and predicting post-pandemic long-term travel behaviour via traditional methods. In these complex circumstances,...
conference paper 2023
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Agiollo, A. (author), Cavalcante Siebert, L. (author), Murukannaiah, P.K. (author), Omicini, Andrea (author)
Although popular and effective, large language models (LLM) are characterised by a performance vs. transparency trade-off that hinders their applicability to sensitive scenarios. This is the main reason behind many approaches focusing on local post-hoc explanations recently proposed by the XAI community. However, to the best of our knowledge,...
conference paper 2023
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Oncescu, Andreea Maria (author), Cicirello, A. (author)
A self-supervised classification algorithm is proposed for detecting and isolating sensor faults of health monitoring devices. This is achieved by automatically extracting information from failure investigations. This approach uses (i) failure reports for extracting comprehensive failure labels; (ii) recorded data of a faulty monitoring...
conference paper 2023
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van Dinten, I. (author), Zaidman, A.E. (author), Panichella, A. (author)
Test case prioritization techniques have emerged as effective strategies to optimize this process and mitigate the regression testing costs. Commonly, black-box heuristics guide optimal test ordering, leveraging information retrieval (e.g., cosine distance) to measure the test case distance and sort them accordingly. However, a challenge...
conference paper 2023
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Izadi, M. (author), Ahmadabadi, Martin Nili (author)
NLP-based models have been increasingly incorporated to address SE problems. These models are either employed in the SE domain with little to no change, or they are greatly tailored to source code and its unique characteristics. Many of these approaches are considered to be outperforming or complementing existing solutions. However, an important...
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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van der Meer, M.T. (author), Liscio, E. (author), Jonker, C.M. (author), Plaat, Aske (author), Vossen, Piek (author), Murukannaiah, P.K. (author)
The key arguments underlying a large and noisy set of opinions help understand the opinions quickly and accurately. Fully automated methods can extract arguments but (1) require large labeled datasets and (2) work well for known viewpoints, but not for novel points of view. We propose HyEnA, a hybrid (human + AI) method for extracting...
conference paper 2022
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Oncescu, Andreea Maria (author), Cicirello, A. (author)
Health Monitoring strategies rely on tracking the health status of critical engineering structures (Structural Health Monitoring) and of people (monitoring of medical conditions) to detect anomalies in the measurements and make inferences on the health condition for supporting decisions on preventive actions to be implemented to restore...
conference paper 2021
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Giunti, Guido (author), Isomursu, M. (author), Gabarron, E. (author), Solad, Y. (author)
Advances in voice recognition, natural language processing, and artificial intelligence have led to the increasing availability and use of conversational agents (chatbots) in different settings. Chatbots are systems that mimic human dialogue interaction through text or voice. This paper describes a series of design considerations for...
conference paper 2021
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Liscio, E. (author), van der Meer, M.T. (author), Jonker, C.M. (author), Murukannaiah, P.K. (author)
Value alignment is a crucial aspect of ethical multiagent systems. An important step toward value alignment is identifying values specific to an application context. However, identifying contextspecific values is complex and cognitively demanding. To support this process, we develop a methodology and a collaborative web platform that employs AI...
conference paper 2021
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Akyazi, U. (author), van Eeten, M.J.G. (author), Hernandez Ganan, C. (author)
The emergence of Cybercrime-as-a-Service (CaaS) is a critical evolution in the cybercrime landscape. A key area of research on CaaS is where and how the supply of CaaS is being matched with demand. Next to underground marketplaces and custom websites, cybercrime forums provide an important channel for CaaS suppliers to attract customers. Our...
conference paper 2021
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Bai, N. (author), Luo, Renqian (author), Nourian, Pirouz (author), Pereira Roders, A. (author)
The UNESCO World Heritage List (WHL) includes the exceptionally valuable cultural and natural heritage to be preserved for mankind. Evaluating and justifying the Outstanding Universal Value (OUV) is essential for each site inscribed in the WHL, and yet a complex task, even for experts, since the selection criteria of OUV are not mutually...
conference paper 2021
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Pokojski, Jerzy (author), Gil, MacIej (author), Newnes, Linda (author), Stjepandić, Josip (author), Wognum, Nel (author)
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conference paper 2020
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Manzoni, Luca (author), Jakobovic, Domagoj (author), Mariot, L. (author), Picek, S. (author), Castelli, Mauro (author)
Tasks related to Natural Language Processing (NLP) have recently been the focus of a large research endeavor by the machine learning community. The increased interest in this area is mainly due to the success of deep learning methods. Genetic Programming (GP), however, was not under the spotlight with respect to NLP tasks. Here, we propose a...
conference paper 2020
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Murray, Gabriel (author), Hung, H.S. (author), Keyton, Joann (author), Lai, Catherine (author), Lehmann-Willenbrock, Nale (author), Oertel, Catharine (author)
Over the last decade, the study of group behavior for multimodal interaction technologies has increased. However, we believe that despite its potential benefits on society, there could be more activity in this area. The aim of this workshop is create a forum for more interdisciplinary dialogue on this topic to enable the acceleration of...
conference paper 2018
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