Mohamed Trabelsi

2022: Ph.D in Computer Science, Lehigh University, PA, USA.

2018: MS in Computer Science, University of Louisville, KY, USA.

2016: BS in Computer Science, Tunisia Polytechnic School, Tunis, Tunisia.

M Trabelsi, Z Chen, S Zhang, BD Davison, J Heflin “StruBERT: Structure-aware BERT for Table Search and Matching”. Proceedings of the Web Conference (WWW’22), April 2022.

M Trabelsi, J Heflin, J Cao “DAME: Domain Adaptation for Matching Entities”. Proceedings of the 15th ACM International Conference on Web Search and Data Mining (WSDM 2022), February 2022.

Z Chen, M Trabelsi, J Heflin, D Yin, BD Davison “MGNETS: Multi-Graph Neural Networks for Table Search”. Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), November 2021.

M Trabelsi, Z Chen, BD Davison, J Heflin “Neural ranking models for document retrieval”. Information Retrieval Journal, 24(6): 400-444, 2021.

M Trabelsi, J Cao, J Heflin “SeLaB: Semantic Labeling with BERT”. International Joint Conference on Neural Networks (IJCNN), 1-8, 2021.

M Trabelsi, Z Chen, BD Davison, J Heflin “A Hybrid Deep Model for Learning to Rank Data Tables”. IEEE International Conference on Big Data (Big Data), 979-986, 2020.

M Trabelsi, Z Chen, BD Davison, J Heflin “Relational Graph Embeddings for Table Retrieval”. IEEE International Conference on Big Data (Big Data), 3005-3014, 2020.

Z Chen, M Trabelsi, J Heflin, Y Xu, BD Davison “Table Search Using a Deep Contextualized Language Model”. Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 589-598, 2020.

Z Chen, M Trabelsi, BD Davison, J Heflin “Towards Knowledge Acquisition of Metadata on AI Progress”. ISWC (Posters and Demos), 232-237, 2020.

M Trabelsi, BD Davison, J Heflin “Improved table retrieval using multiple context embeddings for attributes”. IEEE International Conference on Big Data (Big Data), 1238-1244, 2019.

M Trabelsi, H Frigui “Robust fuzzy clustering for multiple instance regression”. Pattern Recognition, 90: 424-435, 2019.

M Trabelsi, H Frigui “Fuzzy and possibilistic clustering for multiple instance linear regression”. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2018.

A Karem, M Trabelsi, M Moalla, H Frigui “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.