Personal information

Machine Learning, Information Retrieval, Natural Language Processing

Activities

Employment (1)

Nokia: Murray Hill, New Jersey, US

2022-06 to present | Machine Learning Researcher
Employment
Source: Self-asserted source
Mohamed Trabelsi

Education and qualifications (1)

Lehigh University: Bethlehem, Pennsylvania, US

2018-09 to 2022-05 | PhD in Computer Science (Computer Science)
Education
Source: Self-asserted source
Mohamed Trabelsi

Works (18)

Absformer: Transformer-based Model for Unsupervised Multi-Document Abstractive Summarization

Document Analysis and Recognition -- ICDAR 2023 Workshops
2023 | Conference paper
Contributors: Trabelsi, Mohamed; Uzunalioglu, Huseyin
Source: Self-asserted source
Mohamed Trabelsi

LogGPT: Log Anomaly Detection via GPT

arXiv preprint arXiv:2309.14482
2023 | Journal article
Contributors: Han, Xiao; Yuan, Shuhan; Trabelsi, Mohamed
Source: Self-asserted source
Mohamed Trabelsi

DAME: Domain Adaptation for Matching Entities

Proceedings of the 15th ACM International Conference on Web Search and Data Mining (WSDM 2022)
2022 | Conference paper
Contributors: Trabelsi, Mohamed; Heflin, Jeff; Cao, Jin
Source: Self-asserted source
Mohamed Trabelsi

Leveraging Dataset Content in Neural Models for Search and Curation

2022 | Dissertation or Thesis
Contributors: Trabelsi, Mohamed
Source: Self-asserted source
Mohamed Trabelsi

StruBERT: Structure-aware BERT for Table Search and Matching

Proceedings of the Web Conference (WWW 2022)
2022 | Conference paper
Contributors: Trabelsi, Mohamed; Chen, Zhiyu; Zhang, Shuo; Davison, Brian D; Heflin, Jeff
Source: Self-asserted source
Mohamed Trabelsi

MGNETS: Multi-Graph Neural Networks for Table Search

Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021)
2021 | Conference paper
Contributors: Chen, Zhiyu; Trabelsi, Mohamed; Heflin, Jeff; Yin, Dawei; Davison, Brian D
Source: Self-asserted source
Mohamed Trabelsi

SeLaB: Semantic Labeling with BERT

2021 International Joint Conference on Neural Networks (IJCNN)
2021 | Conference paper
Contributors: Trabelsi, Mohamed; Cao, Jin; Heflin, Jeff
Source: Self-asserted source
Mohamed Trabelsi

Neural ranking models for document retrieval

Information Retrieval Journal
2021-12-19 | Journal article
Contributors: Mohamed Trabelsi; Zhiyu Chen; Brian D. Davison; Jeff Heflin
Source: check_circle
Crossref

A Hybrid Deep Model for Learning to Rank Data Tables

2020 IEEE International Conference on Big Data (Big Data)
2020 | Conference paper
Contributors: Trabelsi, Mohamed; Chen, Zhiyu; Davison, Brian D.; Heflin, Jeff
Source: Self-asserted source
Mohamed Trabelsi

Relational Graph Embeddings for Table Retrieval

2020 IEEE International Conference on Big Data (Big Data)
2020 | Conference paper
Contributors: Trabelsi, Mohamed; Chen, Zhiyu; Davison, Brian D.; Heflin, Jeff
Source: Self-asserted source
Mohamed Trabelsi

Semantic Labeling Using a Deep Contextualized Language Model

arXiv preprint arXiv:2010.16037
2020 | Journal article
Contributors: Trabelsi, Mohamed; Cao, Jin; Heflin, Jeff
Source: Self-asserted source
Mohamed Trabelsi

Table Search Using a Deep Contextualized Language Model

Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
2020 | Conference paper
Contributors: Chen, Zhiyu; Trabelsi, Mohamed; Heflin, Jeff; Xu, Yinan; Davison, Brian D
Source: Self-asserted source
Mohamed Trabelsi

Towards Knowledge Acquisition of Metadata on AI Progress

ISWC (Posters & Demos) 2020
2020 | Conference paper
Contributors: Chen, Zhiyu; Trabelsi, Mohamed; Davison, Brian D.; Heflin, Jeff
Source: Self-asserted source
Mohamed Trabelsi

Improved table retrieval using multiple context embeddings for attributes

2019 IEEE international conference on big data (Big Data)
2019 | Conference paper
Contributors: Trabelsi, Mohamed; Davison, Brian D; Heflin, Jeff
Source: Self-asserted source
Mohamed Trabelsi

Robust fuzzy clustering for multiple instance regression

Pattern Recognition
2019 | Journal article
Contributors: Trabelsi, Mohamed; Frigui, Hichem
Source: Self-asserted source
Mohamed Trabelsi

Comparison of several single and multiple instance learning methods for detecting buried explosive objects using gpr data

Detection and sensing of mines, explosive objects, and obscured targets XXIII
2018 | Conference paper
Contributors: Karem, Andrew; Trabelsi, Mohamed; Moalla, Mahdi; Frigui, Hichem
Source: Self-asserted source
Mohamed Trabelsi

Fuzzy and possibilistic clustering for multiple instance linear regression

2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
2018 | Conference paper
Contributors: Trabelsi, Mohamed; Frigui, Hichem
Source: Self-asserted source
Mohamed Trabelsi

ROBUST FUZZY CLUSTERING FOR MULTIPLE INSTANCE REGRESSION

2018 | Dissertation or Thesis
Contributors: Trabelsi, Mohamed
Source: Self-asserted source
Mohamed Trabelsi

Peer review (3 reviews for 1 publication/grant)

Review activity for Engineering applications of artificial intelligence. (3)