Fraunhofer Institute for Industrial Mathematics ITWM

Seminar

Machine und Deep Learning Seminar / May 05, 2022, 10:00 – 11:00 Uhr

Explaining AI-based Decision Support Systems using Concept Localization Maps

Speaker: Adriano Lucieri (German Research Center for Artificial Intelligence (DFKI), Department »Smart Data and Knowledge Services«)

Abstract:

Human-centric explainability of AI-based Decision Support Systems (DSS) using visual input modalities is directly related to reliability and practicality of such algorithms. This work introduces Concept Localization Maps (CLMs), which is a novel approach towards explainable image classifiers employed as DSS. CLMs extend Concept Activation Vectors (CAVs) by locating significant regions corresponding to a learned concept in the latent space of a trained image classifier.

Event details

Program

Adriano Lucieri (DFKI, Department »Smart Data and Knowledge Services«) gives a lecture on the topic »Explaining AI-based Decision Support Systems using Concept Localization Maps«.

Contact

The seminar is held with the tool MS Teams. Click here on the meeting link. In order to use all functions, it is recommended to download the MS Teams App beforehand.

If you have any questions regarding the organisation, please contact Dominik Straßel (see contacts).

Location

The event takes place digitally.

Date

May 05, 2022, 10:00 – 11:00 Uhr

Download this event as iCal

Language

English

About the Seminar Series

The Deep Learning Seminar is organized by employees of the field »Data Analysis and Machine Learning« in the department »High Performance Computing«. It is intended to give interested persons an insight into this large field of research and a deeper understanding. Everyone who wants to learn more about Deep Learning, Machine Learning or AI in general is invited - no matter if students, PhD students, professors or software developers. In addition to the employees of our department, interested external speakers can also give a lecture in our seminar series. We also have the opportunity to invite external speakers. We are always open to suggestions, suggestions or requests.

The event usually takes place every Thursday (except for holiday shifts and summer break). The topic of a talk should either come directly from or is relevant to Deep Learning, Machine Learning, Data Analysis or AI, no matter whether it is about a paper, an own project on or an interesting topic. The complexity can range from an overview talk to a special topic.