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Farshad Bakhshandegan-Moghaddam/Publikationen

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inproceedings

Maria Koutraki, Farshad Bakhshandegan-Moghaddam, Harald Sack
Temporal Role Annotation for Named Entities
Proceedings of the 14th International Conference on Semantic Systems 10th – 13th of September 2018 Vienna, Austria, Seiten: 223-234, Elsevier, Procedia Computer Science, 137, September, 2018
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Russa Biswas, Rima Türker, Farshad Bakhshandegan-Moghaddam, Maria Koutraki, Harald Sack
Wikipedia Infobox Type Prediction Using Embeddings
Proceedings of the 1st Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies DL4KGS 2018, CEUR Workshop Proceedings, 2106, Juni, 2018
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Book Chapter:

2018 Farshad Bakhshandegan Moghaddam, Mehdi Elahi. "Cold Start Solutions For Recommendation Systems". In: Big Data Recommender Systems, Recent Trends and Advances.


Journals:

2018 Farshad Bakhshandegan Moghaddam and Bahram Sadeghi Bigham. "EXpertise- boosted Model for Trust-based Recommendation System Based on Supervised Random WAlk". In: Computing and Informatics Journal, Vol 37, Issue 5, pp. 1209–1230.

2013 Arman Didandeh,Bahram Sadeghi Bigham, Mehdi Khosravian, and Farshad Bakhshandegan Moghaddam. "Using Voronoi Diagrams to Solve a Hybrid Facility Location Problem with Attentive Facilities". In: Information Science 234.3, pp. 203–216.


Conferences:

2019 Farshad Bakhshandegan Moghaddam, Mehdi Elahi, Reza Hosseini, Christoph Trattner, and Marco Tkalčič. "Predicting Movie Popularity and Ratings with Visual Features", SMAP, Larnaca, Cyprus.

2019 Mohammad Hossein Rimaz, Mehdi Elahi, Farshad Bakhshandegan Moghaddam, Christoph Trattner, Reza Hosseini and Tkalčič, Marco. "Exploring the Power of Visual Features for Recommendation of Movies", In: UMAP, Larnaca, Cyprus

2018 Maria Koutraki, Farshad Bakhshandegan Moghaddam, and Harald Sack. "Temporal Role Annotation for Named Entities". In: SEMANTiCS. Vienna, Austria.

2018 Russa Biswas, Rima Türker, Farshad Bakhshandegan-Moghaddam, Maria Koutraki, and Harald Sack. “Wikipedia Infobox Type Prediction Using Embeddings”. In: Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies (DL4KGS) in conjunction with ESWC’18. Crete, Greece.

2017 Mehdi Elahi, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Leonardo Cella, Stefano Cereda, and Paolo Cremonesi. “Exploring The Semantic Gap for Movie Recommendation”. In: 11th ACM Conference of Recommender Systems (RecSys 2017). Como, Italy.

2016 Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, Farshad Bakhshandegan Moghaddam, and Andrea Luigi Edoardo Caielli. “How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy?” In: 17th International Conference on Electronic Commerce and Web Technologies Ec-Web. Porto, Portugal.

2013 Farshad Bakhshandegan Moghaddam, Armin GhasemAzar, Zohreh Mohammad Alizadeh, and Bahram Sadeghi Bigham. “Hybridizing Trust-based and Collaborative Filtering Recommendation Systems”. In: Iran Data Mining Conference (IDMC). Tehran, Iran.

2012 Farshad Bakhshandegan Moghaddam and Mahdi Vasighi. “TOMSAGA: TOolbox for Multiple Sequence Alignment using Genetic Algorithm”. In: Contemporary Issues in Computer and Information Sciences (CICIS). Zanjan, Iran.

2011 Mehdi Khosravian, Sahar Mehrjoo, Bahram Sadeghi and Farshad Bakhshandegan Moghaddam. “Robot Decision-making in 2D soccer simulation using vector Voronoi diagram”. In: Contemporary Issues in Computer and Information Sciences (CICIS). Zanjan, Iran.

2011 Farshad Bakhshandegan Moghaddam, Abtin Khodadadi, and Mohsen Afsharchi. “Prediction of Traffic Flow By Belief Networks”. In: Contemporary Issues in Computer and Information Sciences (CICIS). Zanjan, Iran.