Mohamed Trabelsi

According to our database, Mohamed Trabelsi authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Time Series Language Model for Descriptive Caption Generation.

Mohamed Trabelsi, Aidan Boyd, Jin Cao, Hüseyin Uzunalioglu

CoRR, January, 2025

Personalized Mixture of Experts for Multi-Site Medical Image Segmentation.

Md Motiur Rahman, Mohamed Trabelsi, Hüseyin Uzunalioglu, Aidan Boyd

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Increasing Interpretability of Neural Networks By Approximating Human Visual Saliency.

Aidan Boyd, Mohamed Trabelsi, Hüseyin Uzunalioglu, Dan Kushnir

CoRR, 2024

2023

Absformer: Transformer-Based Model for Unsupervised Multi-Document Abstractive Summarization.

Mohamed Trabelsi, Hüseyin Uzunalioglu

Proceedings of the Document Analysis and Recognition - ICDAR 2023 Workshops, 2023

LogGPT: Log Anomaly Detection via GPT.

Xiao Han, Shuhan Yuan, Mohamed Trabelsi

Proceedings of the IEEE International Conference on Big Data, 2023

2022

StruBERT: Structure-aware BERT for Table Search and Matching.

Mohamed Trabelsi, Zhiyu Chen, Shuo Zhang, Brian D. Davison, Jeff Heflin

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

DAME: Domain Adaptation for Matching Entities.

Mohamed Trabelsi, Jeff Heflin, Jin Cao

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

Neural ranking models for document retrieval.

Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin

Inf. Retr. J., 2021

SeLaB: Semantic Labeling with BERT.

Mohamed Trabelsi, Jin Cao, Jeff Heflin

Proceedings of the International Joint Conference on Neural Networks, 2021

MGNETS: Multi-Graph Neural Networks for Table Search.

Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Dawei Yin, Brian D. Davison

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Semantic Labeling Using a Deep Contextualized Language Model.

Mohamed Trabelsi, Jin Cao, Jeff Heflin

CoRR, 2020

Table Search Using a Deep Contextualized Language Model.

Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Yinan Xu, Brian D. Davison

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Towards Knowledge Acquisition of Metadata on AI Progress.

Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Brian D. Davison

Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

Relational Graph Embeddings for Table Retrieval.

Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Hybrid Deep Model for Learning to Rank Data Tables.

Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Improved Table Retrieval Using Multiple Context Embeddings for Attributes.

Mohamed Trabelsi, Brian D. Davison, Jeff Heflin

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019