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Université de Fribourg

Impaired social cognition in schizophrenia during the Ultimatum Game: An EEG study

Horat, Sibylle K. ; Favre, Grégoire ; Prévot, Anne ; Ventura, Joseph ; Herrmann, François R. ; Gothuey, Isabelle ; Merlo, Marco C.G. ; Missonnier, Pascal

In: Schizophrenia Research, 2018, vol. 192, p. 308–316

Schizophrenia has a core feature of cognitive dysfunctions. Since these deficits are predictive for patients' functional outcome, understanding their origin is of great importance to improve their daily lives. A specific component of the deficit involves social decision-making, which can be studied using the Ultimatum Game (UG). In this task, a “proposer” proposes a share of money to a...

Université de Fribourg

The posterior ridge of the greater tuberosity of the humerus: a suitable landmark for the posterior approach to the shoulder joint?

Grob, Karl ; Monahan, Rebecca Helen ; Manestar, Mirjana ; Filgueira, Luis ; Zdravkovic, Vilijam

In: Journal of Shoulder and Elbow Surgery, 2018, vol. 27, no. 4, p. 635–640

The purpose of this study was to evaluate the posterior ridge of the greater tuberosity, a palpable prominence during surgery, as a landmark for the posterior approach to the glenohumeral joint.Methods: Twenty-five human cadaveric shoulders were dissected. In 5 cases, a full-thickness rotator cuff tear was present. The posterior surgical anatomy was defined, and the distance from the ridge to...

Université de Fribourg

LearningQ: a large-scale dataset for educational question generation

Chen, Guanliang ; Yang, Jie ; Hauff, Claudia ; Houben, Geert-Jan

In: AAAI 2018: Conference on Artificial Intelligence; New Orleans, Louisiana, USA

Université de Fribourg

Histosketch: fast similarity-preserving sketching of streaming histograms with concept drift

Yang, Dingqi ; Li, Bin ; Rettig, Laura ; Cudre-Mauroux, Philippe

In: 2017 IEEE International Conference on Data Mining (ICDM), 2017, p. 545–554

Histogram-based similarity has been widely adopted in many machine learning tasks. However, measuring histogram similarity is a challenging task for streaming data, where the elements of a histogram are observed in a streaming manner. First, the ever-growing cardinality of histogram elements makes any similarity computation inefficient. Second, the concept-drift issue in the data streams also...

Université de Fribourg

Location privacy-preserving task allocation for mobile crowdsensing with differential geo-obfuscation

Wang, Leye ; Yang, Dingqi ; Han, Xiao ; Wang, Tianben ; Zhang, Daqing ; Ma, Xiaojuan

In: Proceedings of the 26th International Conference on World Wide Web, 2017, p. 627–636

In traditional mobile crowdsensing applications, organizers need participants' precise locations for optimal task allocation, e.g., minimizing selected workers' travel distance to task locations. However, the exposure of their locations raises privacy concerns. Especially for those who are not eventually selected for any task, their location privacy is sacrificed in vain. Hence, in this...

Université de Fribourg

CrimeTelescope: crime hotspot prediction based on urban and social media data fusion

Yang, Dingqi ; Heaney, Terence ; Tonon, Alberto ; Wang, Leye ; Cudré-Mauroux, Philippe

In: World Wide Web, 2017, p. 1–25

Crime is a complex social issue impacting a considerable number of individuals within a society. Preventing and reducing crime is a top priority in many countries. Given limited policing and crime reduction resources, it is often crucial to identify effective strategies to deploy the available resources. Towards this goal, crime hotspot prediction has previously been suggested. Crime hotspot...

Université de Fribourg

Geographic differential privacy for mobile crowd coverage maximization

Wang, Leye ; Qin, Gehua ; Yang, Dingqi ; Han, Xiao ; Ma, Xiaojuan

In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI'18), New Orleans, USA

For real-world mobile applications such as location-based advertising and spatial crowdsourcing, a key to success is targeting mobile users that can maximally cover certain locations in a future period. To find an optimal group of users, existing methods often require information about users' mobility history, which may cause privacy breaches. In this paper, we propose a method to maximize...

Université de Fribourg

SPACE-TA: cost-effective task allocation exploiting intradata and interdata correlations in sparse crowdsensing

Wang, Leye ; Zhang, Daqing ; Yang, Dingqi ; Pathak, Animesh ; Chen, Chao ; Han, Xiao ; Xiong, Haoyi ; Wang, Yasha

In: ACM Trans. Intell. Syst. Technol., 2017, vol. 9, no. 2, p. 20:1–20:28

Data quality and budget are two primary concerns in urban-scale mobile crowdsensing. Traditional research on mobile crowdsensing mainly takes sensing coverage ratio as the data quality metric rather than the overall sensed data error in the target-sensing area. In this article, we propose to leverage spatiotemporal correlations among the sensed data in the target-sensing area to significantly...

Université de Fribourg

Social gamification in enterprise crowdsourcing

Afentoulidis, Gregory ; Szlávik, Zoltán ; Yang, Jie ; Bozzon, Alessandro

In: Proceedings of 10th ACM Conference on Web Science (WebSci’18) Amsterdam, 27-30 May 2018

Enterprise crowdsourcing capitalises on the availability of employ-ees for in-house data processing. Gamification techniques can help aligning employees’ motivation to the crowdsourcing endeavour. Although hitherto, research efforts were able to unravel the wide arsenal of gamification techniques to construct engagement loops, little research has shed light into the social game dynamics...

Università della Svizzera italiana

Building global and scalable systems with atomic multicast

Benz, Samuel ; Pedone, Fernando (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2018 ; 2018INFO003.

The rise of worldwide Internet-scale services demands large distributed systems. Indeed, when handling several millions of users, it is common to operate thousands of servers spread across the globe. Here, replication plays a central role, as it contributes to improve the user experience by hiding failures and by providing acceptable latency. In this thesis, we claim that atomic multicast,...