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Sepideh Mesbah
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2020 – today
- 2023
- [c16]Sepideh Mesbah
, Ines Arous
HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at Scale. WWW 2023: 3837-3848 - 2022
- [c15]Benjamin Platten, Matthew Macfarlane, David Graus, Sepideh Mesbah:
Automated Personnel Scheduling with Reinforcement Learning and Graph Neural Networks. HR@RecSys 2022 - [c14]Toine Bogers, David Graus
Second Workshop on Recommender Systems for Human Resources (RecSys in HR 2022). RecSys 2022: 671-674 - [e1]Mesut Kaya, Toine Bogers, David Graus, Sepideh Mesbah, Chris Johnson, Francisco Gutiérrez:
Proceedings of the 2nd Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, USA, 18th-23rd September 2022. CEUR Workshop Proceedings 3218, CEUR-WS.org 2022 [contents] - 2020
- [b1]Sepideh Mesbah:
Semantic-Enhanced Training Data Augmentation Methods for Long-Tail Entity Recognition Models. Delft University of Technology, Netherlands, 2020 - [c13]Emmanouil Manousogiannis, Sepideh Mesbah, Alessandro Bozzon, Robert-Jan Sips, Zoltán Szlávik, Selene Baez:
Normalization of Long-tail Adverse Drug Reactions in Social Media. LOUHI@EMNLP 2020: 49-58 - [c12]Tom Harting, Sepideh Mesbah, Christoph Lofi:
LOREM: Language-consistent Open Relation Extraction from Unstructured Text. WWW 2020: 1830-1838 - [i1]Nacira Abbas
Knowledge Graphs Evolution and Preservation - A Technical Report from ISWS 2019. CoRR abs/2012.11936 (2020)
2010 – 2019
- 2019
- [c11]Sepideh Mesbah, Jie Yang, Robert-Jan Sips, Manuel Valle Torre
Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content. EMNLP/IJCNLP (1) 2019: 2349-2359 - [c10]Daniel Vliegenthart, Sepideh Mesbah, Christoph Lofi, Akiko Aizawa, Alessandro Bozzon
Coner: A Collaborative Approach for Long-Tail Named Entity Recognition in Scientific Publications. TPDL 2019: 3-17 - [c9]Emmanouil Manousogiannis, Sepideh Mesbah, Alessandro Bozzon, Selene Baez Santamaría, Robert-Jan Sips:
Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts. SMM4H@ACL 2019: 114-116 - 2018
- [c8]Sepideh Mesbah, Guanliang Chen
Concept Focus: Semantic Meta-Data for Describing MOOC Content. EC-TEL 2018: 467-481 - [c7]Sepideh Mesbah, Christoph Lofi, Manuel Valle Torre
TSE-NER: An Iterative Approach for Long-Tail Entity Extraction in Scientific Publications. ISWC (1) 2018: 127-143 - [c6]Sepideh Mesbah, Alessandro Bozzon
SmartPub: A Platform for Long-Tail Entity Extraction from Scientific Publications. WWW (Companion Volume) 2018: 191-194 - 2017
- [c5]Sepideh Mesbah, Kyriakos Fragkeskos, Christoph Lofi, Alessandro Bozzon
Facet Embeddings for Explorative Analytics in Digital Libraries. TPDL 2017: 86-99 - [c4]Sepideh Mesbah, Kyriakos Fragkeskos, Christoph Lofi, Alessandro Bozzon
Semantic Annotation of Data Processing Pipelines in Scientific Publications. ESWC (1) 2017: 321-336 - [c3]Sarah Bashirieh, Sepideh Mesbah, Judith Redi, Alessandro Bozzon
Nudge your Workforce: A Study on the Effectiveness of Task Notification Strategies in Enterprise Mobile Crowdsourcing. UMAP 2017: 4-12 - [c2]Sepideh Mesbah, Alessandro Bozzon
Describing Data Processing Pipelines in Scientific Publications for Big Data Injection. SWM@WSDM 2017: 1-8 - 2016
- [j2]Sailesh Conjeti, Amin Katouzian, Anees Kazi, Sepideh Mesbah, David Beymer, Tanveer F. Syeda-Mahmood, Nassir Navab:
Metric hashing forests. Medical Image Anal. 34: 13-29 (2016) - [j1]Sailesh Conjeti, Sepideh Mesbah, Mohammadreza Negahdar, Philipp L. Rautenberg, Shaoting Zhang
Neuron-Miner: An Advanced Tool for Morphological Search and Retrieval in Neuroscientific Image Databases. Neuroinformatics 14(4): 369-385 (2016) - 2015
- [c1]Sepideh Mesbah, Sailesh Conjeti, Ajayrama Kumaraswamy
Hashing Forests for Morphological Search and Retrieval in Neuroscientific Image Databases. MICCAI (2) 2015: 135-143
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