Manipulating recommender systems: A survey of poisoning attacks and countermeasures
Recommender systems have become an integral part of online services due to their ability to
help users locate specific information in a sea of data. However, existing studies show that …
help users locate specific information in a sea of data. However, existing studies show that …
A comprehensive survey on heart sound analysis in the deep learning era
Heart sound auscultation has been applied in clinical usage for early screening of
cardiovascular diseases. Due to the high demand for auscultation expertise, automatic …
cardiovascular diseases. Due to the high demand for auscultation expertise, automatic …
A survey of privacy-preserving model explanations: Privacy risks, attacks, and countermeasures
As the adoption of explainable AI (XAI) continues to expand, the urgency to address its
privacy implications intensifies. Despite a growing corpus of research in AI privacy and …
privacy implications intensifies. Despite a growing corpus of research in AI privacy and …
User guidance for efficient fact checking
The Web constitutes a valuable source of information. In recent years, it fostered the
construction of large-scale knowledge bases, such as Freebase, YAGO, and DBpedia. The …
construction of large-scale knowledge bases, such as Freebase, YAGO, and DBpedia. The …
Factcatch: Incremental pay-as-you-go fact checking with minimal user effort
The open nature of the Web enables users to produce and propagate any content without
authentication, which has been exploited to spread thousands of unverified claims via …
authentication, which has been exploited to spread thousands of unverified claims via …
Heterogeneous Hypergraph Embedding for Recommendation Systems
Recent advancements in recommender systems have focused on integrating knowledge
graphs (KGs) to leverage their auxiliary information. The core idea of KG-enhanced …
graphs (KGs) to leverage their auxiliary information. The core idea of KG-enhanced …
Crowdsourcing for data management
Crowdsourcing provides access to a pool of human workers who can contribute solutions to
tasks that are challenging for computers. Proposals have been made for the use of …
tasks that are challenging for computers. Proposals have been made for the use of …
Feedback driven improvement of data preparation pipelines
N Konstantinou, NW Paton - Information Systems, 2020 - Elsevier
Data preparation, whether for populating enterprise data warehouses or as a precursor to
more exploratory analyses, is recognised as being laborious, and as a result is a barrier to …
more exploratory analyses, is recognised as being laborious, and as a result is a barrier to …
A lightweight approach to extract interschema properties from structured, semi-structured and unstructured sources in a big data scenario
The knowledge of interschema properties (eg, synonymies, homonymies, hyponymies and
subschema similarities) plays a key role for allowing decision-making in sources …
subschema similarities) plays a key role for allowing decision-making in sources …
Minimizing efforts in reconciling participatory sensing data
Participatory sensing has emerged as a new data collection paradigm, in which humans use
their own devices (cell phone accelerometers, cameras, etc.) as sensors. This paradigm …
their own devices (cell phone accelerometers, cameras, etc.) as sensors. This paradigm …