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Applis, L.H. (author), Panichella, A. (author)
We present HasBugs, an extensible and manually-curated dataset of real-world 25 Haskell Bugs from 6 open source repositories. We provide a faulty, tested, and fixed version of each bug in our dataset with reproduction packages, description, and bug context. For technical users, the dataset is meant to either help researchers adapt techniques...
conference paper 2023
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Yamazaki, Ichitaro (author), Heinlein, A. (author), Rajamanickam, Sivasankaran (author)
The generalized Dryja–Smith–Widlund (GDSW) preconditioner is a two-level overlapping Schwarz domain decomposition (DD) preconditioner that couples a classical one-level overlapping Schwarz preconditioner with an energy-minimizing coarse space. When used to accelerate the convergence rate of Krylov subspace iterative methods, the GDSW...
conference paper 2023
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Zhao, Z. (author), Birke, Robert (author), Chen, Lydia Y. (author)
Generative Adversarial Networks (GANs) are typically trained to synthesize data, from images and more recently tabular data, under the assumption of directly accessible training data. While learning image GANs on Federated Learning (FL) and Multi-Discriminator (MD) systems has just been demonstrated, it is unknown if tabular GANs can be learned...
conference paper 2023
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Liem, C.C.S. (author), Demetriou, A.M. (author)
So far, the relationship between open science and software engineering expertise has largely focused on the open release of software engineering research insights and reproducible artifacts, in the form of open-access papers, open data, and open-source tools and libraries. In this position paper, we draw attention to another perspective:...
conference paper 2023
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Li, H. (author), Rieger, Phillip (author), Zeitouni, Shaza (author), Picek, S. (author), Sadeghi, Ahmad Reza (author)
Federated Learning (FL) has become very popular since it enables clients to train a joint model collaboratively without sharing their private data. However, FL has been shown to be susceptible to backdoor and inference attacks. While in the former, the adversary injects manipulated updates into the aggregation process; the latter leverages...
conference paper 2023
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Wang, Weizheng (author), Vaidya, G. (author), Bhattacharjee, A.K. (author), Fioranelli, F. (author), Zuniga, Marco (author)
Sensing people with mmWave radars is gaining significant attention. This growing interest is due to two factors: radar monitoring provides more privacy than camera-based alternatives, and radio waves are not as easily blocked as light waves. Most mmWave studies, however, have three common characteristics. They are done indoors, without...
conference paper 2023
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Ampudia Hernandez, Ricardo (author), Xu, M. (author), Huang, Yanqiu (author), Zuniga, Marco (author)
In this paper, we propose a new approach where drones attain accurate localization by fusing information from artificial lighting and their embedded inertial and barometer sensors. Our system is able to provide accurate drone localization without the use of radios, GPS or cameras. We evaluate our framework, dubbed Firefly, with a testbed...
conference paper 2023
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van Dam, Tim (author), Izadi, M. (author), van Deursen, A. (author)
Transformer-based pre-trained models have recently achieved great results in solving many software engineering tasks including automatic code completion which is a staple in a developer’s toolkit. While many have striven to improve the code-understanding abilities of such models, the opposite – making the code easier to understand – has not been...
conference paper 2023
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Scargill, Tim (author), Lan, G. (author), Gorlatova, Maria (author)
The personalization of augmented reality (AR) experiences based on environmental and user context is key to unlocking their full potential. The recent addition of eye tracking to AR headsets provides a convenient method for detecting user context, but complex analysis of raw gaze data is required to detect where a user's attention and thoughts...
conference paper 2022
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Lan, G. (author), Scargill, Tim (author), Gorlatova, Maria (author)
Recent advances in eye tracking have given birth to a new genre of gaze-based context sensing applications, ranging from cognitive load estimation to emotion recognition. To achieve state-of-the-art recognition accuracy, a large-scale, labeled eye movement dataset is needed to train deep learning-based classifiers. However, due to the...
conference paper 2022
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Nasrulin, B. (author), de Vos, M.A. (author), Ishmaev, G. (author), Pouwelse, J.A. (author)
The growing number of implementations of blockchain systems stands in stark contrast with still limited research on a systematic comparison of performance characteristics of these solutions. Such research is crucial for evaluating fundamental trade-offs introduced by novel consensus protocols and their implementations. These performance...
conference paper 2022
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Lin, Y. (author), Wiersma, R.T. (author), Pintea, S. (author), Hildebrandt, K.A. (author), Eisemann, E. (author), van Gemert, J.C. (author)
Deep learning has improved vanishing point detection in images. Yet, deep networks require expensive annotated datasets trained on costly hardware and do not generalize to even slightly different domains, and minor problem variants. Here, we address these issues by injecting deep vanishing point detection networks with prior knowledge. This...
conference paper 2022
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Abrahamse, Robin (author), Hadnagy, A. (author), Al-Ars, Z. (author)
The concept of memory disaggregation has recently been gaining traction in research. With memory disaggregation, data center compute nodes can directly access memory on adjacent nodes and are therefore able to overcome local memory restrictions, introducing a new data management paradigm for distributed computing. This paper proposes and...
conference paper 2022
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Verheijde, Jim (author), Karakoidas, Vassilios (author), Fragkoulis, M. (author), Katsifodimos, A (author)
Distributed streaming dataflow systems have evolved into scalable and fault-tolerant production-grade systems. Their applicability has departed from the mere analysis of streaming windows and complex-event processing, and now includes cloud applications and machine learning inference. Although the advancements in the state management of...
conference paper 2022
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Park, Seongyeon (author), Kim, Hajin (author), Ahmad, T. (author), Ahmed, N. (author), Al-Ars, Z. (author), Hofstee, H.P. (author), Kim, Youngsok (author), Lee, Jinho (author)
Sequence alignment forms an important backbone in many sequencing applications. A commonly used strategy for sequence alignment is an approximate string matching with a two-dimensional dynamic programming approach. Although some prior work has been conducted on GPU acceleration of a sequence alignment, we identify several shortcomings that limit...
conference paper 2022
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Vieth, A. (author), Vilanova, A. (author), Lelieveldt, B.P.F. (author), Eisemann, E. (author), Höllt, T. (author)
High-dimensional imaging is becoming increasingly relevant in many fields from astronomy and cultural heritage to systems biology. Visual exploration of such high-dimensional data is commonly facilitated by dimensionality reduction. However, common dimensionality reduction methods do not include spatial information present in images, such as...
conference paper 2022
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Uta, Alexandru (author), Ghit, Bogdan (author), Dave, Ankur (author), Rellermeyer, Jan S. (author), Boncz, Peter (author)
Powerful abstractions such as dataframes are only as efficient as their underlying runtime system. The de-facto distributed data processing framework, Apache Spark, is poorly suited for the modern cloud-based data-science workloads due to its outdated assumptions: static datasets analyzed using coarse-grained transformations. In this paper, we...
conference paper 2022
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Cui, Z. (author), Fan, X. (author), Zhang, Kouchi (author)
In this paper, a 3D and fully coupled electromigration modeling is implemented using COMSOL. The fully coupled multi-physics theory has a unique set of partial differential equations, which cannot be directly simulated with the standard finite element software such as ABAQUS and ANSYS. With the weak form PDE modulus in COMSOL, the weak form of...
conference paper 2022
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Wang, Xinyue (author), Zeng, Zejun (author), Zhang, Jing (author), Zhang, Kouchi (author), Liu, Pan (author)
With the increasing application of wide bandgap materials such as silicon carbide and gallium nitride in power devices, the working temperature of power devices has been pushed further. Therefore, it brings higher requirements for packaging materials. Sintered silver is a widely accepted chip connection material. However, silver suffers from...
conference paper 2022
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Ionescu, A. (author), Hai, R. (author), Fragkoulis, M. (author), Katsifodimos, A (author)
Machine Learning (ML) applications require high-quality datasets. Automated data augmentation techniques can help increase the richness of training data, thus increasing the ML model accuracy. Existing solutions focus on efficiency and ML model accuracy but do not exploit the richness of dataset relationships. With relational data, the challenge...
conference paper 2022
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