3 papers
cs.LG2024
Semantic-Guided RL for Interpretable Feature Engineering
Mohamed Bouadi, Arta Alavi, Salima Benbernou +1
The quality of Machine Learning (ML) models strongly depends on the input data, as such generating high-quality features is often required to improve the predictive accuracy. This…
cs.AI2021
Cleaning Inconsistent Data in Temporal DL-Lite Under Best Repair Semantics
Mourad Ouziri, Sabiha Tahrat, Salima Benbernou +1
In this paper, we address the problem of handling inconsistent data in Temporal Description Logic (TDL) knowledge bases. Considering the data part of the Knowledge Base as the sour…
cs.AI2020
SentiQ: A Probabilistic Logic Approach to Enhance Sentiment Analysis Tool Quality
Wissam Maamar Kouadri, Salima Benbernou, Mourad Ouziri +2
The opinion expressed in various Web sites and social-media is an essential contributor to the decision making process of several organizations. Existing sentiment analysis tools a…