17 Result(s)
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Sihem Amer-Yahia
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A generic framework for efficient computation of top-k diverse results
Result diversification is extensively studied in the context of search, recommendation, and data exploration. There are numerous algorithms that return top-k results that are both diverse and relevant. These algo...
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Open AccessA Framework to Maximize Group Fairness for Workers on Online Labor Platforms
As the number of online labor platforms and the diversity of jobs on these platforms increase, ensuring group fairness for workers needs to be the focus of job-matching services. Risk of discrimination against...
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Diversifying recommendations on sequences of sets
Diversifying recommendations on a sequence of sets (or sessions) of items captures a variety of applications. Notable examples include recommending online music playlists, where a session is a channel and mult...
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Real-world Patient Trajectory Prediction from Clinical Notes Using Artificial Neural Networks and UMLS-Based Extraction of Concepts
As more data is generated from medical attendances and as Artificial Neural Networks gain momentum in research and industry, computer-aided medical prognosis has become a promising technology. A common approac...
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DermaDL: Advanced Convolutional Neural Networks for Computer-Aided Skin-Lesion Classification
Early identification of the type of skin lesion, some of them carcinogenic, is of paramount importance. Currently, the use of Convolutional Neural Networks (CNNs) is the mainline of investigation for the autom...
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Cohort analytics: efficiency and applicability
The abundant availability of health-care data calls for effective analysis methods to help medical experts gain a better understanding of their patients and their health. The focus of existing work has been la...
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VLDB SI 2018 editorial
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VLDB SI survey editorial
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Thematic issue on data management for graphs
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User group analytics: hypothesis generation and exploratory analysis of user data
User data is becoming increasingly available in multiple domains ranging from the social Web to retail store receipts. User data is described by user demographics (e.g., age, gender, occupation) and user actio...
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Optimized group formation for solving collaborative tasks
Many popular applications, such as collaborative document editing, sentence translation, or citizen science, resort to collaborative crowdsourcing, a special form of human-based computing, where, crowd workers...
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Open AccessEvolutionary Active Constrained Clustering for Obstructive Sleep Apnea Analysis
We introduce a novel interactive framework to handle both instance-level and temporal smoothness constraints for clustering large longitudinal data and for tracking the cluster evolutions over time. It consist...
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Colloquial region discovery for retail products: discovery and application
Consumer behavior is of quintessential importance to the retail industry. Purchase trends for retail products are often affected by consumer location. Region-specific purchase trends, such as the French love wine
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Task assignment optimization in knowledge-intensive crowdsourcing
We present SmartCrowd, a framework for optimizing task assignment in knowledge-intensive crowdsourcing (KI-C). SmartCrowd distinguishes itself by formulating, for the first time, the problem of worker-to-task ass...
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PGLCM: efficient parallel mining of closed frequent gradual itemsets
Numerical data (e.g., DNA micro-array data, sensor data) pose a challenging problem to existing frequent pattern mining methods which hardly handle them. In this framework, gradual patterns have been recently ...
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An expressive framework and efficient algorithms for the analysis of collaborative tagging
The rise of Web 2.0 is signaled by sites such as Flickr, del.icio.us, and YouTube, and social tagging is essential to their success. A typical tagging action involves three components, user, item (e.g., photos in...
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Space efficiency in group recommendation
Imagine a system that gives you satisfying recommendations when you want to rent a movie with friends or find a restaurant to celebrate a colleague’s farewell: at the core of such a system is what we call group r...
