Lendasse Co-authors Paper in IEEE Computational Intelligence Magazine

Amaury Lendasse, associate professor of mechanical and industrial engineering, is co-author of a paper on "Arbitrary Category Classification of

Websites Based on Image Content" in the May issue of IEEE Computational Intelligence Magazine.

The paper presents a comprehensive methodology for general large-scale image-based classification tasks. It addresses the Big Data challenge in arbitrary image classification and more specifically, filtering of millions of websites with abstract target classes and high levels of label noise.


The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications, in keeping with the Field of Interest of the IEEE Computational Intelligence Society (IEEE/CIS).