Using Voronoi diagrams to solve a hybrid facility location problem with attentive facilities. - Arman Didandeh; Bahram Sadeghi Bigham; Mehdi Khosravian; Farshad Bakhshandegan Moghaddam (Inf. Sci., 2013)

How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy? - Yashar Deldjoo; Mehdi Elahi; Paolo Cremonesi; Farshad Bakhshandegan Moghaddam; Andrea Luigi Edoardo Caielli (EC-Web, 2016)

Exploring the Semantic Gap for Movie Recommendations. - Mehdi Elahi; Yashar Deldjoo; Farshad Bakhshandegan Moghaddam; Leonardo Cella; Stefano Cereda; Paolo Cremonesi (RecSys, 2017)

Wikipedia Infobox Type Prediction Using Embeddings. - Russa Biswas; Rima Türker; Farshad Bakhshandegan Moghaddam; Maria Koutraki; Harald Sack (DL4KGS@ESWC, 2018)

Temporal Role Annotation for Named Entities. - Maria Koutraki; Farshad Bakhshandegan Moghaddam; Harald Sack (SEMANTiCS, 2018)

EXTRA: EXpertise-Boosted Model for Trust-Based Recommendation System Based on Supervised Random Walk. - Farshad Bakhshandegan Moghaddam; Bahram Sadeghi Bigham (Comput. Informatics, 2018)

RecSys challenge 2019: session-based hotel recommendations. - Peter Knees; Yashar Deldjoo; Farshad Bakhshandegan Moghaddam; Jens Adamczak; Gerard Paul Leyson; Philipp Monreal (RecSys, 2019)

Predicting Movie Popularity and Ratings with Visual Features. - Farshad Bakhshandegan Moghaddam; Mehdi Elahi; Reza Hosseini; Christoph Trattner; Marko Tkalcic (SMAP, 2019)

Exploring the Power of Visual Features for the Recommendation of Movies. - Mohammad Hossein Rimaz; Mehdi Elahi; Farshad Bakhshandegan Moghaddam; Christoph Trattner; Reza Hosseini; Marko Tkalcic (UMAP, 2019)

Session-Based Hotel Recommendations: Challenges and Future Directions. - Jens Adamczak; Gerard Paul Leyson; Peter Knees; Yashar Deldjoo; Farshad Bakhshandegan Moghaddam; Julia Neidhardt; Wolfgang Wörndl; Philipp Monreal (CoRR, 2019)

Visually-Aware Video Recommendation in the Cold Start. - Mehdi Elahi; Reza Hosseini; Mohammad Hossein Rimaz; Farshad Bakhshandegan Moghaddam; Christoph Trattner (HT, 2020)

AudioLens: Audio-Aware Video Recommendation for Mitigating New Item Problem. - Mohammad Hossein Rimaz; Reza Hosseini; Mehdi Elahi; Farshad Bakhshandegan Moghaddam (ICSOC Workshops, 2020)

DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs. - Carsten Felix Draschner; Claus Stadler; Farshad Bakhshandegan Moghaddam; Jens Lehmann 001; Hajira Jabeen (CIKM, 2021)

Literal2Feature: An Automatic Scalable RDF Graph Feature Extractor. - Farshad Bakhshandegan Moghaddam; Carsten Draschner; Jens Lehmann 001; Hajira Jabeen (SEMANTiCS, 2021)

Semantic Analytics in the Palm of your Browser. - Carsten Felix Draschner; Farshad Bakhshandegan Moghaddam; Jens Lehmann 001; Hajira Jabeen (LAMBDA-PhD, 2021)

Semantic Web Analysis with Flavor of Micro-Services. - Farshad Bakhshandegan Moghaddam; Carsten Felix Draschner; Jens Lehmann 001; Hajira Jabeen (LAMBDA-PhD, 2021)

Recommending Videos in Cold Start With Automatic Visual Tags. - Mehdi Elahi; Farshad Bakhshandegan Moghaddam; Reza Hosseini; Mohammad Hossein Rimaz; Nabil El Ioini; Marko Tkalcic; Christoph Trattner; Tammam Tillo (UMAP (Adjunct Publication), 2021)

Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019. - Jens Adamczak; Yashar Deldjoo; Farshad Bakhshandegan Moghaddam; Peter Knees; Gerard Paul Leyson; Philipp Monreal (ACM Trans. Intell. Syst. Technol., 2021)

DistAD: A Distributed Generic Anomaly Detection Framework over Large KGs. - Farshad Bakhshandegan Moghaddam; Jens Lehmann 001; Hajira Jabeen (ICSC, 2022)

Anomaly Detection for Numerical Literals in Knowledge Graphs: A Short Review of Approaches. - Farshad Bakhshandegan Moghaddam; Jens Lehmann 001; Hajira Jabeen (AIKE, 2023)

ExPAD: An Explainable Distributed Automatic Anomaly Detection Framework over Large KGs. - Farshad Bakhshandegan Moghaddam; Jens Lehmann 001; Hajira Jabeen (ICSC, 2023)