Searched for: subject%3A%22interpretability%22
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Sharma, Bhawana (author), Sharma, Lokesh (author), Lal, C. (author), Roy, Satyabrata (author)
The Internet of Things (IoT) is currently seeing tremendous growth due to new technologies and big data. Research in the field of IoT security is an emerging topic. IoT networks are becoming more vulnerable to new assaults as a result of the growth in devices and the production of massive data. In order to recognize the attacks, an intrusion...
journal article 2024
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Naber, Titus (author)
master thesis 2023
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Ziad Ahmad Saad Soliman Nawar, Ziad (author)
Machine learning (ML) systems for computer vision applications are widely deployed in decision-making contexts, including high-stakes domains such as autonomous driving and medical diagnosis. While largely accelerating the decision-making process, those systems have been found to suffer from a severe issue of reliability, i.e., they can easily...
master thesis 2023
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CHANOPOULOU, IOANNA (author)
Convolutional Neural Networks (CNNs) have emerged primarily from research focusing on image classification tasks and as a result, most of the well-motivated design choices found in literature are relevant to computer vision applications. CNNs' application on Imaging Mass Spectrometry (IMS) data is quite recent and involves new challenges, such...
master thesis 2023
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Kortbeek, V. (author)
The Internet of Things (IoT) is taking the world by storm, from smart lights to smart plant monitoring. This revolution is not only present in consumers’ homes, but companies are also looking for more and more ways to monitor every aspect of their production process. This transition to ubiquitous monitoring is made possible by extremely low...
doctoral thesis 2023
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Constantinescu, Vlad (author)
The interpretability of an attack graph is a key principle as it reflects the difficulty of a specialist to take insights into attacker strategies. However, the quantification of interpretability is considered to be a subjective manner and complex attack graphs can be challenging to read and interpret. In this research paper, we propose a new...
bachelor thesis 2023
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van den Bos, Mim (author)
Decision trees make decisions in a way interpretable to humans, this is important when machines are increasingly used to aid in making high-stakes and socially sensitive decisions. While heuristics have been used for a long time to find decision trees with reasonable accuracy, recent approaches find fully optimal trees. Due to the computational...
bachelor thesis 2023
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KINDYNIS, Chrysanthos (author)
In this paper, we tackle the problem of creating decision trees that are both optimal and individually fair. While decision trees are popular due to their interpretability, achieving optimality can be difficult. Existing approaches either lack scalability or fail to consider individual fairness. To address this, we define individual fairness as...
bachelor thesis 2023
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De Bosscher, Benjamin (author)
Airport terminals are complex sociotechnical systems, in which humans interact with diverse technical systems. A natural way to represent them is through agent-based modeling. However, this method has two drawbacks: it entails a heavy computational burden and the emergent properties are often difficult to analyze. The purpose of our research is...
master thesis 2023
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Flaschel, Moritz (author), Kumar, Siddhant (author), De Lorenzis, Laura (author)
We extend the scope of our recently developed approach for unsupervised automated discovery of material laws (denoted as EUCLID) to the general case of a material belonging to an unknown class of constitutive behavior. To this end, we leverage the theory of generalized standard materials, which encompasses a plethora of important constitutive...
journal article 2023
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Poulsen, C.B. (author)
Substitution is a common and popular approach to implementing name binding in definitional interpreters. A common pitfall of implementing substitution functions is variable capture. The traditional approach to avoiding variable capture is to rename variables. However, traditional renaming makes for an inefficient interpretation strategy....
conference paper 2023
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De Bosscher, Benjamin C.D. (author), Mohammadi Ziabari, S.S. (author), Sharpanskykh, Alexei (author)
Airport terminals are complex sociotechnical systems, in which humans interact with diverse technical systems. A natural way to represent them is through agent-based modeling. However, this method has two drawbacks: it entails a heavy computational burden and the emergent properties are often difficult to analyze. The purpose of our research...
journal article 2023
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Anand, A. (author), Sen, Procheta (author), Saha, Sourav (author), Verma, Manisha (author), Mitra, Mandar (author)
This tutorial presents explainable information retrieval (ExIR), an emerging area focused on fostering responsible and trustworthy deployment of machine learning systems in the context of information retrieval. As the field has rapidly evolved in the past 4-5 years, numerous approaches have been proposed that focus on different access modes,...
conference paper 2023
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Leonhardt, L.J.L. (author), Rudra, Koustav (author), Anand, A. (author)
Neural document ranking models perform impressively well due to superior language understanding gained from pre-Training tasks. However, due to their complexity and large number of parameters these (typically transformer-based) models are often non-interpretable in that ranking decisions can not be clearly attributed to specific parts of the...
journal article 2023
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Datsiou, Kyriaki Corinna (author), Overend, M. (author)
Patterned acid-etched glasses are frequently used in horizontal glass surfaces that may be walked on, such as floors and staircase treads. These glasses provide useful antislip properties, but the foot traffic cause contact stresses and ageing mechanisms that are poorly understood and can affect the strength of the acid-etched glass. This...
journal article 2023
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Flaschel, Moritz (author), Yu, Huitian (author), Reiter, Nina (author), Hinrichsen, Jan (author), Budday, Silvia (author), Steinmann, Paul (author), Kumar, Siddhant (author), De Lorenzis, Laura (author)
We propose an automated computational algorithm for simultaneous model selection and parameter identification for the hyperelastic mechanical characterization of biological tissue and validate it on experimental data stemming from human brain tissue specimens. Following the motive of the recently proposed computational framework EUCLID ...
journal article 2023
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Barcellos, Raissa (author), Bernardini, Flavia (author), Viterbo, Jose (author), Zuiderwijk-van Eijk, A.M.G. (author)
Open government data initiatives have been rising quickly in recent times. They are encouraged by a wish to democratize data access and knowledge production and enhance cities socially and economically. The hardship of interpreting data can be considered an obstacle to using open government data and more prominent citizen engagement. Technology...
conference paper 2023
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Yang, Mengshi (author), Liao, Mingsheng (author), Chang, Ling (author), Hanssen, R.F. (author)
Multi-epoch interferometric synthetic aperture radar (InSAR) is a highly effective technique for monitoring deformation in urban areas. However, interpreting InSAR deformation can be challenging due to various factors, including inherent geometric imaging distortion, the intricate structure and deformation properties of targets in urban...
journal article 2023
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de Wolf, Tijmen (author)
Heart failure is a leading cause of death and forms a growing health concern. The development of novel drugs is however hampered by the absence of adequate screening methods and disease models. Cardiomyocytes derived from patients could assist in the development of a patient specific drug screen method to test the efficacy and safety of putative...
master thesis 2022
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Zheng, Meng (author)
Machine learning models are so-called a "black box," which means people can not easily observe the relationship between the output and input or explain the reason for such results. In recent years, much work has been done on interpretable machine-learning, such as Shapley values, counterfactual explanations, partial dependence plots, or saliency...
master thesis 2022
Searched for: subject%3A%22interpretability%22
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