b'UNIL'

research

∙ 03/07/2022

Explaining Classifiers by Constructing Familiar Concepts

Interpreting a large number of neurons in deep learning is difficult. Ou...

Johannes Schneider, et al. ∙

research

∙ 07/29/2021

Spatio-temporal estimation of wind speed and wind power using machine learning: predictions, uncertainty and technical potential

The growth of wind generation capacities in the past decades has shown t...

Federico Amato, et al. ∙

research

∙ 10/04/2017

Multifractal analysis of the time series of daily means of wind speed in complex regions

In this paper, we applied the multifractal detrended fluctuation analysi...

Mohamed Laib, et al. ∙

research

∙ 06/27/2017

Unsupervised Feature Selection Based on Space Filling Concept

The paper deals with the adaptation of a new measure for the unsupervise...

Mohamed Laib, et al. ∙

research

∙ 07/18/2012

Complex-network analysis of combinatorial spaces: The NK landscape case

We propose a network characterization of combinatorial fitness landscape...

Marco Tomassini, et al. ∙

research

∙ 08/19/2016

Unsupervised Feature Selection Based on the Morisita Estimator of Intrinsic Dimension

This paper deals with a new filter algorithm for selecting the smallest ...

Jean Golay, et al. ∙

research

∙ 01/31/2016

Feature Selection for Regression Problems Based on the Morisita Estimator of Intrinsic Dimension

Data acquisition, storage and management have been improved, while the k...

Jean Golay, et al. ∙

research

∙ 10/15/2012

Local optima networks and the performance of iterated local search

Local Optima Networks (LONs) have been recently proposed as an alternati...

Fabio Daolio, et al. ∙

research

∙ 07/21/2011

Local Optima Networks of NK Landscapes with Neutrality

In previous work we have introduced a network-based model that abstracts...

Sébastien Verel, et al. ∙

research

∙ 12/12/2017

Approximation of Supremum of Max-Stable Stationary Processes and Pickands Constants

Let X(t),t∈R be a stochastically continuous stationary max-stable proces...

Krzysztof Debicki, et al. ∙

research

∙ 02/17/2018

Domination of Sample Maxima and Related Extremal Dependence Measures

For a given d-dimensional distribution function (df) H we introduce the ...

Enkelejd Hashorva, et al. ∙

research

∙ 02/17/2018

Capstone: Mobility Modeling on Smartphones to Achieve Privacy by Design

Sharing location traces with context-aware service providers has privacy...

Vaibhav Kulkarni, et al. ∙

research

∙ 03/12/2018

Geodabs: Trajectory Indexing Meets Fingerprinting at Scale

Finding trajectories and discovering motifs that are similar in large da...

Bertil Chapuis, et al. ∙

research

∙ 04/13/2018

Activity Self-Tracking with Smart Phones: How to Approach Odd Measurements?

Tracking physical activity reliably is becoming central to many research...

Gabriela Villalobos-Zúñiga, et al. ∙

research

∙ 07/31/2018

Investigating the time dynamics of high frequency wind speed in complex terrains by using the Fisher-Shannon method: application to Switzerland

In this paper, the time dynamics of the daily means of wind speed measur...

Fabian Guignard, et al. ∙

research

∙ 08/22/2018

Linearity versus non-linearity in high frequency multilevel wind time series measured in urban areas

In this paper, high frequency wind time series measured at different hei...

Luciano Telesca, et al. ∙

research

∙ 08/27/2018

Analysis of temporal properties of wind extremes

The 10-minute average wind speed series recorded at 132 stations distrib...

Luciano Telesca, et al. ∙

research

∙ 09/03/2018

Community detection analysis in wind speed-monitoring systems using mutual information-based complex network

A mutual information-based weighted network representation of a wide win...

Mohamed Laib, et al. ∙

research

∙ 09/05/2018

Robust estimations for the tail index of Weibull-type distribution

Based on suitable left-truncated and censored transformation of the unde...

Chengping Gong, et al. ∙

research

∙ 09/18/2018

Rational Impatience Strategy of 5G Network Tenants in Queue-Based Slice Admission Control: Shall I Wait Further for My Network Slice?

The fifth generation (5G) technologies enable an emerge type of public c...

Bin Han, et al. ∙

research

∙ 09/18/2018

Rational Impatience Admission Control in 5G-sliced Networks: Shall I Bide my Slice Opportunity?

Recently, the specifications of the fifth generation (5G) of mobile netw...

Bin Han, et al. ∙

research

∙ 11/02/2018

Frequentist uncertainty estimates for deep learning

We provide frequentist estimates of aleatoric and epistemic uncertainty ...

Natasa Tagasovska, et al. ∙

research

∙ 11/30/2018

Generative Models for Simulating Mobility Trajectories

Mobility datasets are fundamental for evaluating algorithms pertaining t...

Vaibhav Kulkarni, et al. ∙

research

∙ 11/30/2018

Wavelet variance scale-dependence as a dynamics discriminating tool in high-frequency urban wind speed time series

High frequency wind time series measured at different heights from the g...

Fabian Guignard, et al. ∙

research

∙ 12/03/2018

Fisher-Shannon complexity analysis of high-frequency urban wind speed time series

1Hz wind time series recorded at different levels (from 1.5 to 25.5 mete...

Fabian Guignard, et al. ∙

research

∙ 05/27/2019

Modelling conditional probabilities with Riemann-Theta Boltzmann Machines

The probability density function for the visible sector of a Riemann-The...

Stefano Carrazza, et al. ∙

research

∙ 06/05/2019

Enhancing interoperable datasets with virtual links

To achieve semantic interoperability, numerous data standards, ontologie...

Tarcisio Mendes de Farias, et al. ∙

research

∙ 06/12/2019

Deep Smoothing of the Implied Volatility Surface

We present an artificial neural network (ANN) approach to value financia...

Damien Ackerer, et al. ∙

research

∙ 06/12/2019

Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders

We propose a vine copula autoencoder to construct flexible generative mo...

Natasa Tagasovska, et al. ∙

research

∙ 06/12/2019

Matrix Mittag--Leffler distributions and modeling heavy-tailed risks

In this paper we define the class of matrix Mittag-Leffler distributions...

Hansjoerg Albrecher, et al. ∙

research

∙ 08/09/2019

Combined Tail Estimation Using Censored Data and Expert Information

We study tail estimation in Pareto-like settings for datasets with a hig...

Martin Bladt, et al. ∙

research

∙ 08/28/2019

Parallel and Scalable Precise Clustering for Homologous Protein Discovery

This paper presents a new, parallel implementation of clustering and dem...

Stuart Byma, et al. ∙

research

∙ 09/06/2019

Mass Personalization of Deep Learning

We discuss training techniques, objectives and metrics toward mass perso...

Johannes Schneider, et al. ∙

research

∙ 09/21/2019

Analysis of air pollution time series using complexity-invariant distance and information measures

Air pollution is known to be a major threat for human and ecosystem heal...

Federico Amato, et al. ∙

research

∙ 11/11/2019

Intraday Retail Sales Forecast: An Efficient Algorithm for Quantile Additive Modeling

With the ever increasing prominence of data in retail operations, sales ...

Marc-Olivier Boldi, et al. ∙

research

∙ 12/26/2019

Area-covering postprocessing of ensemble precipitation forecasts using topographical and seasonal conditions

Probabilistic weather forecasts from ensemble systems require statistica...

Lea Friedli, et al. ∙

research

∙ 01/21/2020

Deceptive AI Explanations: Creation and Detection

Artificial intelligence comes with great opportunities and but also grea...

Johannes Schneider, et al. ∙

research

∙ 04/10/2020

Tempered Pareto-type modelling using Weibull distributions

In various applications of heavy-tail modelling, the assumed Pareto beha...

Jose Carlos Araujo Acuna, et al. ∙

research

∙ 11/06/2020

Inhomogeneous Markov Survival Regression Models

We propose new regression models in survival analysis based on homogeneo...

Martin Bladt, et al. ∙

research

∙ 07/19/2021

Heavy-tailed phase-type distributions: A unified approach

Heavy-tailed phase-type random variables have mathematically tractable d...

Martin Bladt, et al. ∙

research

∙ 09/05/2021

Climate-Related Disasters and the Death Toll

With climate change accelerating, the frequency of climate disasters is ...

Valérie Chavez-Demoulin, et al. ∙

research

∙ 10/01/2021

The case for the Humanities Citation Index (HuCI): a citation index by the humanities, for the humanities

Citation indexes are by now part of the research infrastructure in use b...

Giovanni Colavizza, et al. ∙

research

∙ 10/11/2021

A tractable class of Multivariate Phase-type distributions for loss modeling: Theoretical developments

Phase-type (PH) distributions are a popular tool for the analysis of uni...

Martin Bladt, et al. ∙

research

∙ 10/11/2021

Phase-type distributions for claim severity regression modeling

This paper addresses the task of modeling severity losses using segmenta...

Martin Bladt, et al. ∙

research

∙ 10/13/2021

Causal Modelling of Heavy-Tailed Variables and Confounders with Application to River Flow

Confounding variables are a recurrent challenge for causal discovery and...

Olivier C. Pasche, et al. ∙

research

∙ 10/13/2021

Optical Character Recognition of 19th Century Classical Commentaries: the Current State of Affairs

Together with critical editions and translations, commentaries are one o...

Matteo Romanello, et al. ∙

research

∙ 10/31/2021

Phase-type mixture-of-experts regression for loss severities

The task of modeling claim severities is addressed when data is not cons...

Martin Bladt, et al. ∙

research

∙ 12/01/2021

Analyzing High-Resolution Clouds and Convection using Multi-Channel VAEs

Understanding the details of small-scale convection and storm formation ...

Harshini Mangipudi, et al. ∙

research

∙ 01/17/2022

On the Context-Free Ambiguity of Emoji: A Data-Driven Study of 1,289 Emojis

Emojis come with prepacked semantics making them great candidates to cre...

Justyna Czestochowska, et al. ∙

research

∙ 02/14/2022

High-Dimensional Dynamic Stochastic Model Representation

We propose a scalable method for computing global solutions of nonlinear...

Aryan Eftekhari, et al. ∙

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