On Tag Spell Checking. - Franco Maria Nardini; Fabrizio Silvestri; Hossein Vahabi; Pedram Vahabi; Ophir Frieder (SPIRE, 2010)

Recommendations for the long tail by term-query graph. - Francesco Bonchi; Raffaele Perego 001; Fabrizio Silvestri; Hossein Vahabi; Rossano Venturini (WWW (Companion Volume), 2011)

Interactive and context-aware tag spell check and correction. - Francesco Bonchi; Ophir Frieder; Franco Maria Nardini; Fabrizio Silvestri; Hossein Vahabi (CIKM, 2012)

Making your interests follow you on twitter. - Marco Pennacchiotti; Fabrizio Silvestri; Hossein Vahabi; Rossano Venturini (CIKM, 2012)

How Random Walks Can Help Tourism. - Claudio Lucchese; Raffaele Perego 001; Fabrizio Silvestri; Hossein Vahabi; Rossano Venturini (ECIR, 2012)

Efficient query recommendations in the long tail via center-piece subgraphs. - Francesco Bonchi; Raffaele Perego 001; Fabrizio Silvestri; Hossein Vahabi; Rossano Venturini (SIGIR, 2012)

Orthogonal query recommendation. - Hossein Vahabi; Margareta Ackerman; David Loker; Ricardo Baeza-Yates; Alejandro López-Ortiz (RecSys, 2013)

Recommender Systems. - Claudio Lucchese; Cristina Ioana Muntean; Raffaele Perego 001; Fabrizio Silvestri; Hossein Vahabi; Rossano Venturini (Mining User Generated Content, 2014)

A Network-Aware Approach for Searching As-You-Type in Social Media. - Paul Lagrée; Bogdan Cautis; Hossein Vahabi (CIKM, 2015)

A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion. - Alessandro Sordoni; Yoshua Bengio; Hossein Vahabi; Christina Lioma; Jakob Grue Simonsen; Jian-Yun Nie (CIKM, 2015)

DifRec: A Social-Diffusion-Aware Recommender System. - Hossein Vahabi; Iordanis Koutsopoulos; Francesco Gullo; Maria Halkidi (CIKM, 2015)

Leveraging Social Context for Modeling Topic Evolution. - Janani Kalyanam; Amin Mantrach; Diego Sáez-Trumper; Hossein Vahabi; Gert R. G. Lanckriet (KDD, 2015)

A Network-Aware Approach for Searching As-You-Type in Social Media (Extended Version). - Paul Lagrée; Bogdan Cautis; Hossein Vahabi (CoRR, 2015)

Predicting Session Length in Media Streaming. - Theodore Vasiloudis; Hossein Vahabi; Ross Kravitz; Valery Rashkov (SIGIR, 2017)

As-You-Type Social Aware Search. - Paul Lagrée; Bogdan Cautis; Hossein Vahabi (ACM Trans. Intell. Syst. Technol., 2017)

Hierarchical Modeling and Shrinkage for User Session LengthPrediction in Media Streaming. - Antoine Dedieu; Rahul Mazumder; Zhen Zhu; Hossein Vahabi (CIKM, 2018)

Predicting Audio Advertisement Quality. - Samaneh Ebrahimi 001; Hossein Vahabi; Matthew Prockup; Oriol Nieto (WSDM, 2018)

Hierarchical Modeling and Shrinkage for User Session Length Prediction in Media Streaming. - Antoine Dedieu; Rahul Mazumder; Zhen Zhu; Hossein Vahabi (CoRR, 2018)

Modeling Musical Taste Evolution with Recurrent Neural Networks. - Massimo Quadrana; Marta Reznáková; Tao Ye 001; Erik Schmidt; Hossein Vahabi (CoRR, 2018)

Revenue Maximization of Airbnb Marketplace using Search Results. - Jiawei Wen; Hossein Vahabi; Mihajlo Grbovic (CoRR, 2019)

High-resolution global irrigation prediction with Sentinel-2 30m data. - Weixin Wu; Sonal Thakkar; Will Hawkins; Puya Vahabi; Alberto Todeschini (CoRR, 2020)

Self-supervised Contrastive Learning for Irrigation Detection in Satellite Imagery. - Chitra Agastya; Sirak Ghebremusse; Ian Anderson 004; Colorado Reed; Hossein Vahabi; Alberto Todeschini (CoRR, 2021)

HyperionSolarNet: Solar Panel Detection from Aerial Images. - Poonam Parhar; Ryan Sawasaki; Alberto Todeschini; Colorado Reed; Hossein Vahabi; Nathan Nusaputra; Felipe Vergara (CoRR, 2022)

SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data. - Dhileeban Kumaresan; Richard Wang; Ernesto Martinez; Richard Cziva; Alberto Todeschini; Colorado J. Reed; Hossein Vahabi (CoRR, 2022)

Snowpack Estimation in Key Mountainous Water Basins from Openly-Available, Multimodal Data Sources. - Malachy Moran; Kayla Woputz; Derrick Hee; Manuela Girotto; Paolo D'Odorico; Ritwik Gupta; Daniel Feldman; Puya Vahabi; Alberto Todeschini; Colorado J. Reed (CoRR, 2022)

Influence Maximization with Fairness at Scale. - Yuting Feng; Ankitkumar Patel; Bogdan Cautis; Hossein Vahabi (KDD, 2023)

Influence Maximization with Fairness at Scale (Extended Version). - Yuting Feng; Ankitkumar Patel; Bogdan Cautis; Hossein Vahabi (CoRR, 2023)

Upscaling Global Hourly GPP with Temporal Fusion Transformer (TFT). - Rumi Nakagawa; Mary Chau; John Calzaretta; Trevor Keenan; Puya Vahabi; Alberto Todeschini; Maoya Bassiouni; Yanghui Kang (CoRR, 2023)

Toward Global Multimodal High-Resolution Land Surface Temperature Forecasting and Nowcasting. - Ryan Brown; Andrea Domiter; Puya Vahabi (IEEE Big Data, 2024)

Enhancing News Summarization with ELearnFit through Efficient In-Context Learning and Efficient Fine-Tuning. - Che Guan; Andrew Chin; Puya Vahabi (CoRR, 2024)