Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Kechadi, M. Tahar"'
The rapid development of Large Language Models (LLMs) like GPT-4, Claude-3, and Gemini has transformed the field of natural language processing. However, it has also resulted in a significant issue known as Benchmark Data Contamination (BDC). This oc
Externí odkaz:
http://arxiv.org/abs/2406.04244
Autor:
Faridoon, Amen, Kechadi, M. Tahar
The abundance of data has transformed the world in every aspect. It has become the core element in decision making, problem solving, and innovation in almost all areas of life, including business, science, healthcare, education, and many others. Desp
Externí odkaz:
http://arxiv.org/abs/2403.17648
Autor:
Faridoon, Amen, Kechadi, M. Tahar
In today's highly connected society, we are constantly asked to provide personal information to retailers, voter surveys, medical professionals, and other data collection efforts. The collected data is stored in large data warehouses. Organisations a
Externí odkaz:
http://arxiv.org/abs/2307.06779
Publikováno v:
Information Retrieval Journal, Springer, 2021
The humanities, like many other areas of society, are currently undergoing major changes in the wake of digital transformation. However, in order to make collection of digitised material in this area easily accessible, we often still lack adequate se
Externí odkaz:
http://arxiv.org/abs/2103.11271
Autor:
Ngo, Vuong M., Kechadi, M-Tahar
Publikováno v:
ICMLSC-2020
Nowadays, the agricultural data can be generated through various sources, such as: Internet of Thing (IoT), sensors, satellites, weather stations, robots, farm equipment, agricultural laboratories, farmers, government agencies and agribusinesses. The
Externí odkaz:
http://arxiv.org/abs/2003.05043
Distributed data mining (DDM) deals with the problem of finding patterns or models, called knowledge, in an environment with distributed data and computations. Today, a massive amounts of data which are often geographically distributed and owned by d
Externí odkaz:
http://arxiv.org/abs/1910.10547
While cyclic scheduling is involved in numerous real-world applications, solving the derived problem is still of exponential complexity. This paper focuses specifically on modelling the manufacturing application as a cyclic job shop problem and we ha
Externí odkaz:
http://arxiv.org/abs/1910.09437
Digital healthcare systems are very popular lately, as they provide a variety of helpful means to monitor people's health state as well as to protect people against an unexpected health situation. These systems contain a huge amount of personal infor
Externí odkaz:
http://arxiv.org/abs/1908.10229
Publikováno v:
BigData 2019
In recent years, precision agriculture that uses modern information and communication technologies is becoming very popular. Raw and semi-processed agricultural data are usually collected through various sources, such as: Internet of Thing (IoT), sen
Externí odkaz:
http://arxiv.org/abs/1905.12411
Autor:
Savvas, I. K., Kechadi, M. Tahar
In this study, a cluster-computing environment is employed as a computational platform. In order to increase the efficiency of the system, a dynamic task scheduling algorithm is proposed, which balances the load among the nodes of the cluster. The te
Externí odkaz:
http://arxiv.org/abs/1902.08040