Events
Lecture
Prof. Bob Sturm, KTH Royal Institute of Technology, Stockholm, Sweden
On horses in machine learning
A "horse" is a system that is not actually addressing the problem it appears to be solving. The inspiration for the metaphor is the real-life …
Lecture
Prof. Bob Sturm, KTH Royal Institute of Technology, Stockholm, Sweden
Folk the algorithms - Music at the frontiers of artificial creativity and criticism
In this talk/musical performance, I will recount how a bit of Saturday morning humor turned into an ERC Consolidator Grant four years later. It …
Lecture
Dr. Sallam Abualhaija, University of Luxembourg
Natural language processing in the eyes of software engineers
Natural language (NL) is prevalent in the Requirements Engineering (RE) field (a major subfield in Software Engineering). RE is embedded within a diverse organizational context …
Lecture
Dr. Graeme Hirst, University of Toronto
Classifying verbal autopsy records by cause of death using neural networks and temporal reasoning
It is important for public health planning and resource allocation for authorities to have statistics on the varying causes of death in each region. But …
Lecture
Dr. Tristan Miller, OFAI, Wien
Recognizing and interpreting wordplay with computational semantics
How do computers determine the meaning of individual words in a text, and what challenges do they face with deliberately ambiguous usages such as puns …
Lecture
Dr. Klaus Stiefel, Quezon City, Philippines
Why is there no successful brain simulation (yet)?
With the advent of powerful parallel computers, efforts have commenced to simulate complete mammalian brains. However, so far none of these efforts has produced outcomes …
Lecture
Dr. Tristan Miller, OFAI, Wien
Computational pun-derstanding: Towards the computer-assisted translation of humorous wordplay
The translation of wordplay is one of the most extensively researched problems in translation studies, but it has attracted little attention in the fields of …
Lecture
Dr. Carlos Eduardo Cancino Chacon, OFAI, Wien
Computational modeling of expressive music performance with linear and non-linear basis function models
This talk gives an overview of the Basis Function Models (BMs), a family of computational models of expressive music performance. The motivation for this work …
Lecture
Dipl.-Ing. Martin Trapp, OFAI Wien und TU Graz
The Turing language for probabilistic programming
Probabilistic programming promises to simplify and democratize probabilistic machine learning, but successful probabilistic programming systems require flexible, generic and efficient inference engines. In this talk …
Lecture
Dr. Aggelos Gkiokas, Universitat Pompeu Fabra, Barcelona
V O R T R A G
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Oesterreichisches Forschungsinstitut fuer Artificial Intelligence(OFAI) der OSGK
Freyung 6/6/7, A-1010 Wien
Tel: +43-1-5336112-17, Fax: +43-1-5336112-77 …