397 citations · 433 across the 7 of their papers we have counts for
7 papers
SoK: Explainable Machine Learning for Computer Security Applications
Azqa Nadeem, Daniël Vos, Clinton Cao +4
Explainable Artificial Intelligence (XAI) aims to improve the transparency of machine learning (ML) pipelines. We systematize the increasingly growing (but fragmented) microcosm of…
Learning state machines via efficient hashing of future traces
Robert Baumgartner, Sicco Verwer
State machines are popular models to model and visualize discrete systems such as software systems, and to represent regular grammars. Most algorithms that passively learn state ma…
Formation of three-dimensional auditory space
Piotr Majdak, Robert Baumgartner, Claudia Jenny
Human listeners need to permanently interact with their three-dimensional (3-D) environment. To this end, they require efficient perceptual mechanisms to form a sufficiently accura…
Web Data Extraction, Applications and Techniques: A Survey
Emilio Ferrara, Pasquale De Meo, Giacomo Fiumara +1
Web Data Extraction is an important problem that has been studied by means of different scientific tools and in a broad range of applications. Many approaches to extracting data fr…
Intelligent Self-Repairable Web Wrappers
Emilio Ferrara, Robert Baumgartner
The amount of information available on the Web grows at an incredible high rate. Systems and procedures devised to extract these data from Web sources already exist, and different…
Design of Automatically Adaptable Web Wrappers
Emilio Ferrara, Robert Baumgartner
Nowadays, the huge amount of information distributed through the Web motivates studying techniques to be adopted in order to extract relevant data in an efficient and reliable way.…
Automatic Wrapper Adaptation by Tree Edit Distance Matching
Emilio Ferrara, Robert Baumgartner
Information distributed through the Web keeps growing faster day by day, and for this reason, several techniques for extracting Web data have been suggested during last years. Ofte…