Journal ArticleDOI
Pattern Recognition and Machine Learning
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TLDR
This book covers a broad range of topics for regular factorial designs and presents all of the material in very mathematical fashion and will surely become an invaluable resource for researchers and graduate students doing research in the design of factorial experiments.Abstract:
(2007). Pattern Recognition and Machine Learning. Technometrics: Vol. 49, No. 3, pp. 366-366.read more
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Journal ArticleDOI
COSAR: hybrid reasoning for context-aware activity recognition
Daniele Riboni,Claudio Bettini +1 more
TL;DR: This paper proposes a solution based on the use of ontologies and ontological reasoning combined with statistical inferencing to recognize complex activities that cannot be derived by statistical methods alone.
Journal ArticleDOI
Distinct Cortical Pathways for Music and Speech Revealed by Hypothesis-Free Voxel Decomposition
TL;DR: This analysis revealed six components, each with interpretable response characteristics despite being unconstrained by prior functional hypotheses, whose weighted combinations explained voxel responses throughout auditory cortex.
BookDOI
A Practical Guide to Sentiment Analysis
TL;DR: The main aim of this book is to provide a feasible research platform to ambitious researchers towards developing the practical solutions that will be indeed beneficial for the authors' society, business and future researches as well.
Proceedings ArticleDOI
The SIGMORPHON 2016 Shared Task - Morphological Reinflection.
TL;DR: The 2016 SIGMORPHON Shared Task was devoted to the problem of morphological reinflection and introduced morphological datasets for 10 languages with diverse typological characteristics, showing a strong state of the art.
Journal ArticleDOI
The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology
Artur Kadurin,Alexander Aliper,Andrey Kazennov,Polina Mamoshina,Quentin Vanhaelen,Kuzma Khrabrov,Alex Zhavoronkov +6 more
TL;DR: This paper presents the first application of generative adversarial autoencoders (AAE) for generating novel molecular fingerprints with a defined set of parameters, developed a 7-layer AAE architecture with the latent middle layer serving as a discriminator.