516 citations
- Fraunhofer Institute for Industrial MathematicsDE4 papers
- Carl von Ossietzky Universität OldenburgDE2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- CIC nanoGUNEES2 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- École PolytechniqueFR2 papers
- IkerbasqueES2 papers
- University of MannheimDE2 papers
- Active Technologies (Italy)IT1 paper
- Cochlear (Australia)AU1 paper
- Computing CenterRU1 paper
- Delft University of TechnologyNL1 paper
4 papers · 1 filter
Unleashing Modified Deep Learning Models in Efficient COVID19 Detection
Md Aminul Islam, Shabbir Ahmed Shuvo, Mohammad Abu Tareq Rony +2
The COVID19 pandemic, a unique and devastating respiratory disease outbreak, has affected global populations as the disease spreads rapidly. Recent Deep Learning breakthroughs may…
Retail-786k: a Large-Scale Dataset for Visual Entity Matching
Bianca Lamm, Janis Keuper
Entity Matching (EM) defines the task of learning to group objects by transferring semantic concepts from example groups (=entities) to unseen data. Despite the general availabilit…
Fine-Grained Product Classification on Leaflet Advertisements
Daniel Ladwig, Bianca Lamm, Janis Keuper
In this paper, we describe a first publicly available fine-grained product recognition dataset based on leaflet images. Using advertisement leaflets, collected over several years f…
Set-theoretic Types for Erlang
Albert Schimpf, Stefan Wehr, Annette Bieniusa
Erlang is a functional programming language with dynamic typing. The language offers great flexibility for destructing values through pattern matching and dynamic type tests. Erlan…