Florian Franzen

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3ranked-venue papers

2as first author

0since 2021 · last 2019

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence 1 paper		Probabilistic and Bayesian machine learning · 50% Knowledge representation and reasoning · 50%
Interdisciplinary, comprehensive, and emerging computing 1 paper		Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Machine learning › Probabilistic and Bayesian machine learning › structured models › latent variable model bayesian latent variable model	0.2	1	2014	A Bayesian model for identifying hierarchically organised states in neural population activity · NIPS 2014
Bioinformatics and computational biology › computational neuroscience neural population analysis	0.1	1	2014	A Bayesian model for identifying hierarchically organised states in neural population activity · NIPS 2014

Methods — techniques the papers use, named apart from their topics

hierarchical model · 0.4bayesian inference · 0.4

Year	Publication	Venue	Position
2019	visualizing image classification in fourier domain Florian Franzen, Chunrong Yuan	ESANN	1
2018	Image Classification in the Frequency Domain with Neural Networks and Absolute Value DCT Florian Franzen	ICISP	1
2014	A Bayesian model for identifying hierarchically organised states in neural population activity Patrick Putzky, Florian Franzen, Giacomo Bassetto, Jakob H. Macke	NIPS	2