Inferring competitive role patterns in reality TV show through nonverbal analysis

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Exploring Spatial Perspective Taking in Human-Robot Interaction

Elmira Yadollahi

Humans often rely on their perspective taking skills to thrive within the world's complex relations and connections. An adequate understanding of others' spatial perspectives can increase the quality of the interaction, not only perceptually but also cogni ...

EPFL2021

Exploring Data Partitions for What-if Analysis

Quoc Viet Hung Nguyen, Thành Tâm Nguyên

What-if analysis is a data-intensive exploration to inspect how changes in a set of input parameters of a model influence some outcomes. It is motivated by a user trying to understand the sensitivity of a model to a certain parameter in order to reach a se ...

2018

Context-Aware Learning for Generative Models

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Serafeim Perdikis

This work studies the class of algorithms for learning with side-information that emerges by extending generative models with embedded context-related variables. Using finite mixture models (FMMs) as the prototypical Bayesian network, we show that maximum- ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Measuring and modeling the motor system with machine learning

Alexander Mathis, Mackenzie Mathis, Alessandro Marin Vargas, Sébastien Benjamin Hausmann

The utility of machine learning in understanding the motor system is promising a revolution in how to collect, measure, and analyze data. The field of movement science already elegantly incorporates theory and engineering principles to guide experimental w ...

2021

Analysis of the sensitivity of the hydromorphological index of diversity, HMID

Anton Schleiss, Mário Jorge Rodrigues Pereira Da Franca, Severin Stähly, Walter Gostner

Hydromorphological conditions are a key factor for the habitat diversity in riverine ecosystems. The Hydromorphological Index of Diversity (HMID) is a tool to quantify the habitat diversity in a river reach based on local flow depths and flow velocities. T ...

2018

Permeance Based Modeling of Magnetic Hysteresis with Inclusion of Eddy Current Effect

Drazen Dujic, Min Luo

Magnetic hysteresis together with eddy current effects are typically present in metal based core materials and contribute significantly to the nonlinearity and power loss of the magnetic components operating in power electronic converters. In order to inve ...

IEEE2018

High-Dimensional Inference on Dense Graphs with Applications to Coding Theory and Machine Learning

Mohamad Baker Dia

We are living in the era of "Big Data", an era characterized by a voluminous amount of available data. Such amount is mainly due to the continuing advances in the computational capabilities for capturing, storing, transmitting and processing data. However, ...

EPFL2018

Benchmarking Touchscreen Biometrics for Mobile Authentication

We study user interaction with touchscreens based on swipe gestures for personal authentication. This approach has been analyzed only recently in the last few years in a series of disconnected and limited works. We summarize those recent efforts and then c ...

2018

Modeling Compact Intracloud Discharge (CID) as a Streamer Burst

Farhad Rachidi-Haeri, Marcos Rubinstein

Narrow Bipolar Pulses are generated by bursts of electrical activity in the cloud and these are referred to as Compact Intracloud Discharges (CID) or Narrow Bipolar Events in the current literature. These discharges usually occur in isolation without much ...

2020

Provenance, workflows, and crystallographic tools in materials science: AiiDA, spglib, and seekpath

Giovanni Pizzi

The near-exponential expansion in computing resources over the last few decades has enabled a rapid increase in the capabilities of computational science, including applications to materials research. In order to harness the available resources and acceler ...

CAMBRIDGE UNIV PRESS2018