Searched for: subject%253A%2522Benchmarking%2522
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Lnenicka, Martin (author), Nikiforova, Anastasija (author), Luterek, Mariusz (author), Milic, Petar (author), Rudmark, Daniel (author), Neumaier, Sebastian (author), Santoro, C. (author), Casiano Flores, Cesar (author), Janssen, M.F.W.H.A. (author), Rodríguez Bolívar, Manuel Pedro (author)
Open government and open (government) data are seen as tools to create new opportunities, eliminate or at least reduce information inequalities and improve public services. More than a decade of these efforts has provided much experience, practices, and perspectives to learn how to better deal with them. This paper focuses on benchmarking of...
journal article 2024
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Leciñana, I. (author), Renart, J. (author), Carreras, L. (author), Turon, A. (author), Zurbitu, J. (author), Tijs, B.H.A.H. (author)
The main objective of this paper is to present a delamination benchmark test concept for composite materials that develop non-self-similar delamination in characterization specimens. The non-self-similar delamination is induced by rotating the loading blocks. The simplicity of the test allows for analyzing the loading mode history by...
journal article 2024
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Kernan Freire, S. (author), Wang, C.W. (author), Foosherian, Mina (author), Wellsandt, Stefan (author), Ruiz-Arenas, Santiago (author), Niforatos, E. (author)
Recent advances in natural language processing enable more intelligent ways to support knowledge sharing in factories. In manufacturing, operating production lines has become increasingly knowledge-intensive, putting strain on a factory's capacity to train and support new operators. This paper introduces a Large Language Model (LLM)-based system...
journal article 2024
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Cosma, Bianca-Maria (author), Shirali Hossein Zade, R. (author), Jordan, E.N. (author), van Lent, P.H. (author), Peng, C. (author), Pillay, S. (author), Abeel, T.E.P.M.F. (author)
Background: Assembly algorithm choice should be a deliberate, well-justified decision when researchers create genome assemblies for eukaryotic organisms from third-generation sequencing technologies. While third-generation sequencing by Oxford Nanopore Technologies (ONT) and Pacific Biosciences (PacBio) has overcome the disadvantages of short...
journal article 2023
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Sun, Zhu (author), Fang, Hui (author), Yang, J. (author), Qu, Xinghua (author), Liu, Hongyang (author), Yu, Di (author), Ong, Yew Soon (author), Zhang, Jie (author)
Recently, one critical issue looms large in the field of recommender systems - there are no effective benchmarks for rigorous evaluation - which consequently leads to unreproducible evaluation and unfair comparison. We, therefore, conduct studies from the perspectives of practical theory and experiments, aiming at benchmarking recommendation...
journal article 2023
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Kević, Karlo (author), Kuveždić Divjak, Ana (author), Welle Donker, F.M. (author)
The 2019 European Open Data Directive identifies geospatial data as data that could have a major impact on human activities (high-value data, HVD) and advocates its provision as open data (OD), i.e., without barriers to access and re-use. Although Croatia has implemented OD policies to support the provision of open data, many geospatial data...
journal article 2023
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Kallis, Rafael (author), Izadi, M. (author), Pascarella, Luca (author), Chaparro, Oscar (author), Rani, Pooja (author)
We report on the organization and results of the second edition of the tool competition from the International Workshop on Natural Language-based Software Engineering (NLBSE'23). As in the prior edition, we organized the competition on automated issue report classification, with a larger dataset. This year, we featured an extra competition on...
conference paper 2023
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Bandic, M. (author), Almudever, Carmen G. (author), Feld, S. (author)
To execute quantum circuits on a quantum processor, they must be modified to meet the physical constraints of the quantum device. This process, called quantum circuit mapping, results in a gate/circuit depth overhead that depends on both the circuit properties and the hardware constraints, being the limited qubit connectivity a crucial...
journal article 2023
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Chen, Yangkun (author), Yu, Chenghui (author), Zhu, Hengman (author), Liu, Shuai (author), Zhang, Yibing (author), Suarez, Joseph (author), Zhao, Liang (author), He, J. (author), Chen, Jiaxin (author)
We present the results of the second Neural MMO challenge, hosted at IJCAI 2022, which received 1600+ submissions. This competition targets robustness and generalization in multi-agent systems: participants train teams of agents to complete a multi-task objective against opponents not seen during training. We summarize the competition design...
journal article 2023
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Pater, M. (author), Kaaks, B.J. (author), Lauritzen, Bent (author), Lathouwers, D. (author)
The design of a molten salt reactor is largely based on CFD simulations. Phase change plays an important role in the safety of the reactor, but numerical modelling of phase change is particularly challenging. Therefore, the knowledge of the margin of error of CFD simulations involving phase change is very important. Relevant experimental...
journal article 2023
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Bliek, Laurens (author), Guijt, A. (author), Karlsson, R.K.A. (author), Verwer, S.E. (author), de Weerdt, M.M. (author)
Surrogate algorithms such as Bayesian optimisation are especially designed for black-box optimisation problems with expensive objectives, such as hyperparameter tuning or simulation-based optimisation. In the literature, these algorithms are usually evaluated with synthetic benchmarks which are well established but have no expensive objective...
journal article 2023
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Zhang, Qinglong (author), Han, Rui (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)
Vision applications powered by deep neural networks (DNNs) are widely deployed on edge devices and solve the learning tasks of incoming data streams whose class label and input feature continuously evolve, known as domain shift. Despite its prominent presence in real-world edge scenarios, existing benchmarks used by domain adaptation methods...
conference paper 2023
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Schumann, J.F. (author), Kober, J. (author), Zgonnikov, A. (author)
Autonomous vehicles currently suffer from a time-inefficient driving style caused by uncertainty about human behavior in traffic interactions. Accurate and reliable prediction models enabling more efficient trajectory planning could make autonomous vehicles more assertive in such interactions. However, the evaluation of such models is...
journal article 2023
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Flemisch, Bernd (author), Nordbotten, Jan M. (author), Geiger, S. (author), Hajibeygi, H. (author), Tian, X. (author), Voskov, D.V. (author), Wang, Y. (author), Wapperom, M.B. (author), Zhang, Z. (author)
Successful deployment of geological carbon storage (GCS) requires an extensive use of reservoir simulators for screening, ranking and optimization of storage sites. However, the time scales of GCS are such that no sufficient long-term data is available yet to validate the simulators against. As a consequence, there is currently no solid basis...
journal article 2023
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Braun, M. (author)
This thesis addresses the topic of visual person detection and pose estimation. While these tasks are relevant for a broad range of applications, this thesis focuses on the domain of intelligent vehicles in urban traffic scenes. This domain is particularly interesting due to specific challenges related to visual perception from a moving vehicle....
doctoral thesis 2022
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Augusto da Silva, F. (author)
In recent years, advances in technology have enabled the employment of automated systems to control driving tasks. The idea of electronic devices having complete control over a vehicle promises to change the concept of mobility soon. However, allowing computers to control all the tasks in a vehicle demands sophisticated systems and significant...
doctoral thesis 2022
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Xue, X. (author)
Benchmarking the performance of a quantum computer is of key importance in identifying and reducing the error sources, and therefore in achieving fault-tolerant quantum computation. In the last decade, qubits made of electron spins in silicon emerged as promising candidates for practical quantum computers. To understand their physical properties...
doctoral thesis 2022
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Fioranelli, F. (author), Zhu, S. (author), Roldan Montero, I. (author)
Linked to the increasing availability of datasets for radar-based human activity recognition (HAR), in this Student Highlights contribution, we report on a classification project that a group of 23 graduate students performed at TU Delft. The students were asked to work in groups of 2-3 members and to use the publicly available University of...
journal article 2022
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van der Bent, H.S. (author), Meijer, A. (author), Visscher, H.J. (author), Mouter, N. (author)
Benchmarking is a method that can be used to measure progress and create awareness about the performance of organisations. Benchmarking the housing stock energy performance of Dutch housing associations can be used to measure and assess progress towards the decarbonisation of the housing stock. A new national climate agreement was signed in...
journal article 2022
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Mahmoud, A.N.N. (author), Cucu Laurenciu, N. (author), Vanderveken, Frederic (author), Ciubotaru, Florin (author), Adelmann, Christoph (author), Cotofana, S.D. (author), Hamdioui, S. (author)
In the early stages of a novel technology development, it is difficult to provide a comprehensive assessment of its potential capabilities and impact. Nevertheless, some preliminary estimates can be drawn and are certainly of great interest and in this paper we follow this line of reasoning within the framework of the Spin Wave (SW) based...
conference paper 2022
Searched for: subject%253A%2522Benchmarking%2522
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