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See detailMoonlightBox: Mining Android API Histories for Uncovering Release-time Inconsistencies
Li, Li; Bissyande, Tegawendé François D Assise UL; Klein, Jacques UL

in 29th IEEE International Symposium on Software Reliability Engineering (ISSRE) (2018, October)

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See detailGood to be stressed? Improved response inhibition and error processing after acute stress in young and older men
Dierolf, Angelika UL; Schoofs, Daniela; Hessas, Eve-Mariek et al

in Neuropsychologia (2018), 119

own on whether and how age modulates stress effects on executive functions and their neural correlates. The current study investigated the effect of acute stress on response inhibition and error ... [more ▼]

own on whether and how age modulates stress effects on executive functions and their neural correlates. The current study investigated the effect of acute stress on response inhibition and error processing and their underlying cortical processes in younger and older healthy men, using EEG. Forty-nine participants (30 young) were stressed with the Trier Social Stress Test (16 young, 9 older) or underwent a friendly control procedure (14 young, 10 older) and subsequently performed a Go/No-Go task with two levels of task difficulty while performance (reaction time, error rate), stimulus-locked (N2, P3) and response-locked (Ne, Pe) ERPs were measured. Previous results on age-related cognitive deficits were replicated, with slower responses and reduced and delayed N2 and P3 components, as well as reduced Ne and Pe components in older participants. Independent of age, acute stress improved response inhibition, reflected in higher accuracy for compatible trials and enhanced inhibition-related components (N2, P3 and N2d, P3d of the difference waves No-Go minus Go), and improved error processing, reflected in enhanced error-related components (Ne, Pe and Ne_d, Pe_d of the difference waves error minus correct trial). Our findings indicate that acute stress leads to a reallocation of cognitive resources, strengthening inhibition and error processing in young and older healthy men to a similar degree. Neural generators of the analyzed ERPs are mainly part of the salience network, which is upregulated immediately after stress. This offers an explanation as to why response inhibition, in contrast to other executive functions, improves after acute stress. [less ▲]

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See detailLa société et l’intérêt collectif : la France seule au monde ?
Conac, Pierre-Henri UL

in Revue des Sociétés (2018)

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See detailChronique de droit des marchés financiers
Conac, Pierre-Henri UL

in Revue des Sociétés (2018)

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See detailShareholders and Shareholder Law
Conac, Pierre-Henri UL

in Siems, Mathias; Cabrelli, David (Eds.) Comparative Company Law. A Case-Based Approach (2018)

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See detailManagerial Optimism and Investor Sentiment
Montone, Maurizio UL; Zhu, Yuhao

Presentation (2018, October)

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See detailA Statistically Efficient Estimator for Co-array Based DoA Estimation
Sedighi, Saeid UL; Shankar, Bhavani UL; Ottersten, Björn UL

Poster (2018, October)

Co-array-based Direction of Arrival (DoA) estimation using Sparse linear arrays (SLAs) has recently gained considerable interest in array processing due to the attractive capability of providing enhanced ... [more ▼]

Co-array-based Direction of Arrival (DoA) estimation using Sparse linear arrays (SLAs) has recently gained considerable interest in array processing due to the attractive capability of providing enhanced degrees of freedom. Although a variety of estimators have been suggested in the literature for co-array-based DoA estimation, none of them are statistically efficient. This work introduces a novel Weighted Least Squares (WLS) estimator for the co-array-based DoA estimation employing the covariance fitting method. Then, an optimal weighting is given so that the asymptotic performance of the proposed WLS estimator coincides with the Cram\'{e}r-Rao Bound (CRB), thereby ensuring statistical efficiency of resulting WLS estimator. This implies that the proposed WLS estimator has significantly better performance compared to existing methods in the literature. Numerical simulations are provided to corroborate the asymptotic statistical efficiency and the improved performance of the proposed estimator. [less ▲]

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See detailElectryo, In-person Voting with Transparent Voter Verifiability and Eligibility Verifiability
Roenne, Peter UL; Ryan, Peter UL; Zollinger, Marie-Laure UL

E-print/Working paper (2018)

Selene is an e-voting protocol that allows voters to directly check their individual vote, in cleartext, in the final tally via a tracker system, while providing good coercion mitigation. This is in ... [more ▼]

Selene is an e-voting protocol that allows voters to directly check their individual vote, in cleartext, in the final tally via a tracker system, while providing good coercion mitigation. This is in contrast to conventional, end-to-end verifiable schemes in which the voter verifies the presence of an encryption of her vote on the bulletin board. The Selene mechanism can be applied to many e-voting schemes, but here we present an application to the polling station context, resulting in a voter-verifiable electronic tally with a paper audit trail. The system uses a smartcard-based public key system to provide the individual verifica- tion and universal eligibility verifiability. The paper record contains an encrypted link to the voter’s identity, requiring stronger assumptions on ballot privacy than normal paper voting, but with the benefit of pro- viding good auditability and dispute resolution as well as supporting (comparison) risk limiting audits. [less ▲]

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See detailWhy Energy Matters? Profiling Energy Consumption of Mobile Crowdsensing Data Collection Frameworks
Tomasoni, Mattia; Capponi, Andrea UL; Fiandrino, Claudio UL et al

in Pervasive and Mobile Computing (2018)

Mobile Crowdsensing (MCS) has emerged in the last years and has become one of the most prominent paradigms for urban sensing. The citizens actively participate in the sensing process by contributing data ... [more ▼]

Mobile Crowdsensing (MCS) has emerged in the last years and has become one of the most prominent paradigms for urban sensing. The citizens actively participate in the sensing process by contributing data with their mobile devices. To produce data, citizens sustain costs, i.e., the energy consumed for sensing and reporting operations. Hence, devising energy efficient data collection frameworks (DCF) is essential to foster participation. In this work, we investigate from an energy-perspective the performance of different DCFs. Our methodology is as follows: (i) we developed an Android application that implements the DCFs, (ii) we profiled the energy and network performance with a power monitor and Wireshark, (iii) we included the obtained traces into CrowdSenSim simulator for large-scale evaluations in city-wide scenarios such as Luxembourg, Turin and Washington DC. The amount of collected data, energy consumption and fairness are the performance indexes evaluated. The results unveil that DCFs with continuous data reporting are more energy-efficient and fair than DCFs with probabilistic reporting. The latter exhibit high variability of energy consumption, i.e., to produce the same amount of data, the associated energy cost of different users can vary significantly. [less ▲]

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See detailThe Price of Privacy in Collaborative Learning
Pejo, Balazs UL; Tang, Qiang UL; Gergely, Biczok

Poster (2018, October)

Machine learning algorithms have reached mainstream status and are widely deployed in many applications. The accuracy of such algorithms depends significantly on the size of the underlying training ... [more ▼]

Machine learning algorithms have reached mainstream status and are widely deployed in many applications. The accuracy of such algorithms depends significantly on the size of the underlying training dataset; in reality a small or medium sized organization often does not have enough data to train a reasonably accurate model. For such organizations, a realistic solution is to train machine learning models based on a joint dataset (which is a union of the individual ones). Unfortunately, privacy concerns prevent them from straightforwardly doing so. While a number of privacy-preserving solutions exist for collaborating organizations to securely aggregate the parameters in the process of training the models, we are not aware of any work that provides a rational framework for the participants to precisely balance the privacy loss and accuracy gain in their collaboration. In this paper, we model the collaborative training process as a two-player game where each player aims to achieve higher accuracy while preserving the privacy of its own dataset. We introduce the notion of Price of Privacy, a novel approach for measuring the impact of privacy protection on the accuracy in the proposed framework. Furthermore, we develop a game-theoretical model for different player types, and then either find or prove the existence of a Nash Equilibrium with regard to the strength of privacy protection for each player. [less ▲]

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See detailThe ecology of the unseen
Wilmes, Paul UL

Scientific Conference (2018, October)

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See detailLe microbiote humain et son impacte sur la santé
Wilmes, Paul UL

Scientific Conference (2018, October)

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See detailUnderstanding the role of the microbiome in Parkinson’s disease
Wilmes, Paul UL

Scientific Conference (2018, October)

Detailed reference viewed: 28 (0 UL)
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See detailShared Access Satellite-Terrestrial Reconfigurable Backhaul Network Enabled by Smart Antennas at MmWave Band
Artiga, Xavier; Pérez-Neira; Baranda et al

in IEEE Network (2018)

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See detailOpinion Statement ECJ-TF 2/2018 on the ECJ Decision of 7 September 2017 in Eqiom (Case C-6/16), concerning the Compatibility of the French Anti-Abuse Rule Regarding Outbound Dividends with the EU Parent-Subsidiary Directive (2011/96) and the Fundamental Freedoms
García Prats, Alfredo; Haslehner, Werner UL; Heydt, Volker et al

in European Taxation (2018)

This is an Opinion Statement prepared by the CFE ECJ Task Force on Eqiom (Case C-6/16), in respect of which the Sixth Chamber of the Court of Justice of the European Union (ECJ) delivered its decision on ... [more ▼]

This is an Opinion Statement prepared by the CFE ECJ Task Force on Eqiom (Case C-6/16), in respect of which the Sixth Chamber of the Court of Justice of the European Union (ECJ) delivered its decision on 7 September 2017. The CFE welcomes the Eqiom decision. In an international context where the fight against tax avoidance and aggressive tax planning is intensifying, it is important to preserve the fundamental principles of a balanced tax system: Free choice of the least taxed route, legal certainty, respect for principles concerning burden of proof, etc. In this respect, the Court appears to be the guardian of these rights. In line with its previous decisions and upholding the fundamental ideas of the Internal Market, the ECJ in Eqiom and Deister and Juhler clearly confirms that Member States may neither employ general presumptions of abuse nor define any tax planning or structuring as abusive in light of secondary EU law or the fundamental freedoms. [less ▲]

Detailed reference viewed: 56 (1 UL)