14 citations · 47 across the 12 of their papers we have counts for
12 papers
Influence Maximization with Fairness at Scale (Extended Version)
Yuting Feng, Ankitkumar Patel, Bogdan Cautis +1
In this paper, we revisit the problem of influence maximization with fairness, which aims to select k influential nodes to maximise the spread of information in a network, while en…
SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data
Dhileeban Kumaresan, Richard Wang, Ernesto Martinez +4
When cloud layers cover photovoltaic (PV) panels, the amount of power the panels produce fluctuates rapidly. Therefore, to maintain enough energy on a power grid to match demand, u…
HyperionSolarNet: Solar Panel Detection from Aerial Images
Poonam Parhar, Ryan Sawasaki, Alberto Todeschini +4
With the effects of global climate change impacting the world, collective efforts are needed to reduce greenhouse gas emissions. The energy sector is the single largest contributor…
Self-supervised Contrastive Learning for Irrigation Detection in Satellite Imagery
Chitra Agastya, Sirak Ghebremusse, Ian Anderson +3
Climate change has caused reductions in river runoffs and aquifer recharge resulting in an increasingly unsustainable crop water demand from reduced freshwater availability. Achiev…
Revenue Maximization of Airbnb Marketplace using Search Results
Jiawei Wen, Hossein Vahabi, Mihajlo Grbovic
Correctly pricing products or services in an online marketplace presents a challenging problem and one of the critical factors for the success of the business. When users are looki…
Modeling Musical Taste Evolution with Recurrent Neural Networks
Massimo Quadrana, Marta Reznakova, Tao Ye +2
Finding the music of the moment can often be a challenging problem, even for well-versed music listeners. Musical tastes are constantly in flux, and the problem of developing compu…
Hierarchical Modeling and Shrinkage for User Session Length Prediction in Media Streaming
Antoine Dedieu, Rahul Mazumder, Zhen Zhu +1
An important metric of users' satisfaction and engagement within on-line streaming services is the user session length, i.e. the amount of time they spend on a service continuously…
Predicting Audio Advertisement Quality
Samaneh Ebrahimi, Hossein Vahabi, Matthew Prockup +1
Online audio advertising is a particular form of advertising used abundantly in online music streaming services. In these platforms, which tend to host tens of thousands of unique…
Predicting Session Length in Media Streaming
Theodore Vasiloudis, Hossein Vahabi, Ross Kravitz +1
Session length is a very important aspect in determining a user's satisfaction with a media streaming service. Being able to predict how long a session will last can be of great us…
Sequential ranking under random semi-bandit feedback
Hossein Vahabi, Paul Lagrée, Claire Vernade +1
In many web applications, a recommendation is not a single item suggested to a user but a list of possibly interesting contents that may be ranked in some contexts. The combinatori…
A Network-Aware Approach for Searching As-You-Type in Social Media (Extended Version)
Paul Lagrée, Bogdan Cautis, Hossein Vahabi
We present in this paper a novel approach for as-you-type top- keyword search over social media. We adopt a natural "network-aware" interpretation for information relevance, by…
A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion
Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi +3
Users may strive to formulate an adequate textual query for their information need. Search engines assist the users by presenting query suggestions. To preserve the original search…