Mohamed Trabelsi

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 23

Top Topics

High Predictive Accuracy

Relational Graph

Atrial Fibrillation

Multiple Instance

Top Venues

Biomed. Signal Process. Control.

ICDAR Workshops (2)

Publications

Ghada Ben Othman, Atal Anil Kumar, Faten Ben Hassine, Dana Copot, Lilia Sidhom, Ernest Nlandu Kamavuako, Mohamed Trabelsi, Clara Mihaela Ionescu, Inès Chihi
Sustainability and predictive accuracy evaluation of gel and embroidered electrodes for ECG monitoring. Biomed. Signal Process. Control. 96 (2024)
Mohamed Trabelsi, Hüseyin Uzunalioglu
Absformer: Transformer-based Model for Unsupervised Multi-Document Abstractive Summarization. CoRR (2023)
Mohamed Trabelsi, Hüseyin Uzunalioglu
Absformer: Transformer-Based Model for Unsupervised Multi-Document Abstractive Summarization. ICDAR Workshops (2) (2023)
Xiao Han, Shuhan Yuan, Mohamed Trabelsi
LogGPT: Log Anomaly Detection via GPT. CoRR (2023)
Xiao Han, Shuhan Yuan, Mohamed Trabelsi
LogGPT: Log Anomaly Detection via GPT. BigData (2023)
Mohamed Trabelsi, Zhiyu Chen, Shuo Zhang, Brian D. Davison, Jeff Heflin
StruBERT: Structure-aware BERT for Table Search and Matching. WWW (2022)
Mohamed Trabelsi, Jeff Heflin, Jin Cao
DAME: Domain Adaptation for Matching Entities. CoRR (2022)
Mohamed Trabelsi, Jeff Heflin, Jin Cao
DAME: Domain Adaptation for Matching Entities. WSDM (2022)
Mohamed Trabelsi, Zhiyu Chen, Shuo Zhang, Brian D. Davison, Jeff Heflin
StruBERT: Structure-aware BERT for Table Search and Matching. CoRR (2022)
Xinqi Bao, Fenghe Hu, Yujia Xu, Mohamed Trabelsi, Ernest Nlandu Kamavuako
Paroxysmal Atrial Fibrillation Detection by Combined Recurrent Neural Network and Feature Extraction on ECG Signals. BIOSIGNALS (2022)
Mohamed Trabelsi, Jin Cao, Jeff Heflin
SeLaB: Semantic Labeling with BERT. IJCNN (2021)
Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin
Neural Ranking Models for Document Retrieval. CoRR (2021)
Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin
Neural ranking models for document retrieval. Inf. Retr. J. 24 (6) (2021)
Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Dawei Yin, Brian D. Davison
MGNETS: Multi-Graph Neural Networks for Table Search. CIKM (2021)
Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Brian D. Davison
Towards Knowledge Acquisition of Metadata on AI Progress. ISWC (Demos/Industry) (2020)
Mohamed Trabelsi, Jin Cao, Jeff Heflin
Semantic Labeling Using a Deep Contextualized Language Model. CoRR (2020)
Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Yinan Xu, Brian D. Davison
Table Search Using a Deep Contextualized Language Model. CoRR (2020)
Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin
Relational Graph Embeddings for Table Retrieval. IEEE BigData (2020)
Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin
A Hybrid Deep Model for Learning to Rank Data Tables. IEEE BigData (2020)
Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Yinan Xu, Brian D. Davison
Table Search Using a Deep Contextualized Language Model. SIGIR (2020)
Mohamed Trabelsi, Brian D. Davison, Jeff Heflin
Improved Table Retrieval Using Multiple Context Embeddings for Attributes. IEEE BigData (2019)
Mohamed Trabelsi, Hichem Frigui
Robust fuzzy clustering for multiple instance regression. Pattern Recognit. 90 (2019)
Mohamed Trabelsi, Hichem Frigui
Fuzzy and Possibilistic Clustering for Multiple Instance Linear Regression. FUZZ-IEEE (2018)
Mohamed Trabelsi, Naima Aitoufroukh, Sylvie Lelandais
New objects seizure method in mobile robotic using a visual servoing and neural network classification. CIRA (2005)