4.4k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of KasselDE5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Humboldt-Universität zu BerlinDE4 papers
- University of FreiburgDE4 papers
- Laboratoire de Mathématiques de Bretagne AtlantiqueFR3 papers
- Ludwig-Maximilians-Universität MünchenDE3 papers
- Ostfalia University of Applied SciencesDE3 papers
- University of TübingenDE3 papers
- Astrophysique, Instrumentation et ModélisationFR2 papers
- Clausthal University of TechnologyDE2 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- Institut de Mathématiques de BordeauxFR2 papers
17 papers · 1 filter
Improving Software Engineering Research through Experimentation Workbenches
Klaus Schmid, Sascha El-Sharkawy, Christian Kröher
Experimentation with software prototypes plays a fundamental role in software engineering research. In contrast to many other scientific disciplines, however, explicit support for…
Conditioned limit theorems for hyperbolic dynamical systems
Ion Grama, Jean-François Quint, Hui Xiao
Let be a subshift of finite type equipped with the Gibbs measure and let be a real-valued Hölder continuous function on such that . C…
KernelHaven -- An Open Infrastructure for Product Line Analysis
Christian Kröher, Sascha El-Sharkawy, Klaus Schmid
KernelHaven is an open infrastructure for Software Product Line (SPL) analysis. It is intended both as a production-quality analysis tool set as well as a research support tool, e.…
MetricHaven -- More Than 23,000 Metrics for Measuring Quality Attributes of Software Product Lines
Sascha El-Sharkawy, Adam Krafczyk, Klaus Schmid
Variability-aware metrics are designed to measure qualitative aspects of software product lines. As we identified in a prior SLR \cite{El-SharkawyYamagishi-EichlerSchmid19}, there…
Improving Hyperparameter Optimization by Planning Ahead
Hadi S. Jomaa, Jonas Falkner, Lars Schmidt-Thieme
Hyperparameter optimization (HPO) is generally treated as a bi-level optimization problem that involves fitting a (probabilistic) surrogate model to a set of observed hyperparamete…
Fast Static Analyses of Software Product Lines -- An Example With More Than 42,000 Metrics
Sascha El-Sharkawy, Adam Krafczyk, Klaus Schmid
Context: Software metrics, as one form of static analyses, is a commonly used approach in software engineering in order to understand the state of a software system, in particular…
Reverse Engineering Code Dependencies: Converting Integer-Based Variability to Propositional Logic
Adam Krafczyk, Sascha El-Sharkawy, Klaus Schmid
A number of SAT-based analysis concepts and tools for software product lines exist, that extract code dependencies in propositional logic from the source code assets of the product…
Reverse Engineering Variability in an Industrial Product Line: Observations and Lessons Learned
Sascha El-Sharkawy, Dhar Saura Jyoti, Adam Krafczyk +3
Ideally, a variability model is a correct and complete representation of product line features and constraints among them. Together with a mapping between features and code, this e…
KernelHaven -- An Experimentation Workbench for Analyzing Software Product Lines
Christian Kröher, Sascha El-Sharkawy, Klaus Schmid
Systematic exploration of hypotheses is a major part of any empirical research. In software engineering, we often produce unique tools for experiments and evaluate them independent…
An Empirical Study of Configuration Mismatches in Linux
Sascha El-Sharkawy, Adam Krafczyk, Klaus Schmid
Ideally the variability of a product line is represented completely and correctly by its variability model. However, in practice additional variability is often represented on the…
Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting
Kiran Madhusudhanan, Johannes Burchert, Nghia Duong-Trung +2
Time series data is ubiquitous in research as well as in a wide variety of industrial applications. Effectively analyzing the available historical data and providing insights into…
Deep Metric Learning for Ground Images
Raaghav Radhakrishnan, Jan Fabian Schmid, Randolf Scholz +1
Ground texture based localization methods are potential prospects for low-cost, high-accuracy self-localization solutions for robots. These methods estimate the pose of a given que…
Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages
Thomas Mandla, Sandip Modha, Gautam Kishore Shahi +5
With the growth of social media, the spread of hate speech is also increasing rapidly. Social media are widely used in many countries. Also Hate Speech is spreading in these countr…
A Note On The Randomized Kaczmarz Method With A Partially Weighted Selection Step
Jürgen Groß
In this note we reconsider two known algorithms which both usually converge faster than the randomized Kaczmarz method introduced by Strohmer and Vershynin(2009), but require the a…
Multi-script Handwritten Digit Recognition Using Multi-task Learning
Mesay Samuel Gondere, Lars Schmidt-Thieme, Durga Prasad Sharma +1
Handwritten digit recognition is one of the extensively studied area in machine learning. Apart from the wider research on handwritten digit recognition on MNIST dataset, there are…
HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML
Sebastian Pineda Arango, Hadi S. Jomaa, Martin Wistuba +1
Hyperparameter optimization (HPO) is a core problem for the machine learning community and remains largely unsolved due to the significant computational resources required to evalu…
Hyperparameter Optimization with Differentiable Metafeatures
Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka
Metafeatures, or dataset characteristics, have been shown to improve the performance of hyperparameter optimization (HPO). Conventionally, metafeatures are precomputed and used to…