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Farshad Bakhshandegan Moghaddam
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2020 – today
- 2023
- [c17]Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen:
Anomaly Detection for Numerical Literals in Knowledge Graphs: A Short Review of Approaches. AIKE 2023: 46-53 - [c16]Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen:
ExPAD: An Explainable Distributed Automatic Anomaly Detection Framework over Large KGs. ICSC 2023: 204-211 - 2022
- [c15]Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen:
DistAD: A Distributed Generic Anomaly Detection Framework over Large KGs. ICSC 2022: 243-250 - 2021
- [j3]Jens Adamczak, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Peter Knees, Gerard Paul Leyson, Philipp Monreal:
Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019. ACM Trans. Intell. Syst. Technol. 12(1): 1:1-1:20 (2021) - [c14]Carsten Felix Draschner, Claus Stadler, Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen:
DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs. CIKM 2021: 4465-4474 - [c13]Farshad Bakhshandegan Moghaddam, Carsten Draschner, Jens Lehmann, Hajira Jabeen:
Literal2Feature: An Automatic Scalable RDF Graph Feature Extractor. SEMANTiCS 2021: 74-88 - [c12]Farshad Bakhshandegan Moghaddam, Carsten Felix Draschner, Jens Lehmann, Hajira Jabeen:
Semantic Web Analysis with Flavor of Micro-Services. LAMBDA-PhD 2021: 5-12 - [c11]Carsten Felix Draschner, Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen:
Semantic Analytics in the Palm of your Browser. LAMBDA-PhD 2021: 13-20 - [c10]Mehdi Elahi, Farshad Bakhshandegan Moghaddam, Reza Hosseini, Mohammad Hossein Rimaz, Nabil El Ioini, Marko Tkalcic, Christoph Trattner, Tammam Tillo:
Recommending Videos in Cold Start With Automatic Visual Tags. UMAP (Adjunct Publication) 2021: 54-60 - 2020
- [c9]Mehdi Elahi, Reza Hosseini, Mohammad Hossein Rimaz, Farshad Bakhshandegan Moghaddam, Christoph Trattner:
Visually-Aware Video Recommendation in the Cold Start. HT 2020: 225-229 - [c8]Mohammad Hossein Rimaz, Reza Hosseini, Mehdi Elahi, Farshad Bakhshandegan Moghaddam:
AudioLens: Audio-Aware Video Recommendation for Mitigating New Item Problem. ICSOC Workshops 2020: 365-378
2010 – 2019
- 2019
- [c7]Peter Knees, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Jens Adamczak, Gerard Paul Leyson, Philipp Monreal:
RecSys challenge 2019: session-based hotel recommendations. RecSys 2019: 570-571 - [c6]Farshad Bakhshandegan Moghaddam, Mehdi Elahi, Reza Hosseini, Christoph Trattner, Marko Tkalcic:
Predicting Movie Popularity and Ratings with Visual Features. SMAP 2019: 1-6 - [c5]Mohammad Hossein Rimaz, Mehdi Elahi, Farshad Bakhshandegan Moghaddam, Christoph Trattner, Reza Hosseini, Marko Tkalcic:
Exploring the Power of Visual Features for the Recommendation of Movies. UMAP 2019: 303-308 - [e1]Peter Knees, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Jens Adamczak, Gerard Paul Leyson, Philipp Monreal:
Proceedings of the Workshop on ACM Recommender Systems Challenge, Copenhagen, Denmark, September 2019. ACM 2019, ISBN 978-1-4503-7667-9 [contents] - [i1]Jens Adamczak, Gerard Paul Leyson, Peter Knees, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Julia Neidhardt, Wolfgang Wörndl, Philipp Monreal:
Session-Based Hotel Recommendations: Challenges and Future Directions. CoRR abs/1908.00071 (2019) - 2018
- [j2]Farshad Bakhshandegan Moghaddam, Bahram Sadeghi Bigham:
EXTRA: EXpertise-Boosted Model for Trust-Based Recommendation System Based on Supervised Random Walk. Comput. Informatics 37(5): 1209-1230 (2018) - [c4]Russa Biswas, Rima Türker, Farshad Bakhshandegan Moghaddam, Maria Koutraki, Harald Sack:
Wikipedia Infobox Type Prediction Using Embeddings. DL4KGS@ESWC 2018: 46-55 - [c3]Maria Koutraki, Farshad Bakhshandegan Moghaddam, Harald Sack:
Temporal Role Annotation for Named Entities. SEMANTiCS 2018: 223-234 - 2017
- [c2]Mehdi Elahi, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Leonardo Cella, Stefano Cereda, Paolo Cremonesi:
Exploring the Semantic Gap for Movie Recommendations. RecSys 2017: 326-330 - 2016
- [c1]Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, Farshad Bakhshandegan Moghaddam, Andrea Luigi Edoardo Caielli:
How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy? EC-Web 2016: 34-45 - 2013
- [j1]Arman Didandeh, Bahram Sadeghi Bigham, Mehdi Khosravian, Farshad Bakhshandegan Moghaddam:
Using Voronoi diagrams to solve a hybrid facility location problem with attentive facilities. Inf. Sci. 234: 203-216 (2013)
Coauthor Index
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