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A fully joint Bayesian quantitative trait locus mapping of human protein abundance in plasma

Anthony Christopher Davison, Jörg Hager, Hélène Ruffieux, Radu Popescu

Molecular quantitative trait locus (QTL) analyses are increasingly popular to explore the genetic architecture of complex traits, but existing studies do not leverage shared regulatory patterns and suffer from a large multiplicity burden, which hampers the ...

PUBLIC LIBRARY SCIENCE2020

While the performance of face recognition systems has improved significantly in the last decade, they are proved to be highly vulnerable to presentation attacks (spoofing). Most of the research in the field of face presentation attack detection (PAD), was ...

2019

Consolidation of database check constraints

Nikola Obrenovic

Independent modeling of various modules of an information system (IS), and consequently database subschemas, may result in formal or semantic conflicts between the modules being modeled. Such conflicts may cause collisions between the integrated database s ...

2019

Timely and cost-efficient data exploration through adaptive tuning

Matthaios Alexandros Olma

Modern applications accumulate data at an exponentially increasing rate and traditional database systems struggle to keep up. Decision support systems used in industry, rely heavily on data analysis, and require real-time responses irrespective of data siz ...

EPFL2019

Electrical Compartmentalization in Neurons

Marc-Oliver Gewaltig, Willem Anna Mark Wybo, Benjamin Torben-Nielsen

The dendritic tree of neurons plays an important role in information processing in the brain. While it is thought that dendrites require independent subunits to perform most of their computations, it is still not understood how they compartmentalize into f ...

CELL PRESS2019

Database Alignment with Gaussian Features

Negar Kiyavash, Osman Emre Dai

We consider the problem of aligning a pair of databases with jointly Gaussian features. We consider two algorithms, complete database alignment via MAP estimation among all possible database alignments, and partial alignment via a thresholding approach of ...

MLR Press2019

QUASII: QUery-Aware Spatial Incremental Index

Anastasia Ailamaki, Darius Sidlauskas, Thomas Heinis, Mirjana Pavlovic

With large-scale simulations of increasingly detailed models and improvement of data acquisition technologies, massive amounts of data are easily and quickly created and collected. Traditional systems require indexes to be built before analytic queries can ...

2018

On the Use of Convolutional Neural Networks for Speech Presentation Attack Detection

Sébastien Marcel

Research in the area of automatic speaker verification (ASV) has advanced enough for the industry to start using ASV systems in practical applications. However, these systems are highly vulnerable to spoofing or presentation attacks (PAs), limiting their w ...

2018

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Nearest neighbor searching of large databases in high-dimensional spaces is inherently difficult due to the curse of dimensionality. A flavor of approximation is, therefore, necessary to practically solve the problem of nearest neighbor search. In this pap ...

ASSOC COMPUTING MACHINERY2018

A Cross-database Study of Voice Presentation Attack Detection

Sébastien Marcel

Despite an increasing interest in speaker recognition technologies, a significant obstacle still hinders their wide deployment --- their high vulnerability to spoofing or presentation attacks. These attacks can be easy to perform. For instance, if an attac ...

Springer2018