Uncertainty quantification for text classification
This full-day tutorial introduces modern techniques for practical uncertainty quantification
specifically in the context of multi-class and multi-label text classification. First, we explain …
specifically in the context of multi-class and multi-label text classification. First, we explain …
Artificial intelligence in supply chain operations planning: Collaboration and digital perspectives
MÁ Rodríguez, MME Alemany, A Boza… - … Networks 4.0: 21st IFIP …, 2020 - Springer
Digital transformation provide supply chains (SCs) with extensive accurate data that should
be combined with analytical techniques to improve their management. Among these …
be combined with analytical techniques to improve their management. Among these …
Machine learning algorithms for big data mining processing: A review
L Djafri, Y Gafour - International Conference on Artificial Intelligence and …, 2021 - Springer
Big data mining is an excellent source of information and knowledge from systems to end
users. However, managing such amounts of data or knowledge requires automation, which …
users. However, managing such amounts of data or knowledge requires automation, which …
Maximum similarity method for image mining
V Antsiperov - … ICPR International Workshops and Challenges: Virtual …, 2021 - Springer
The paper discusses a new Image Mining approach to extracting and exploring relations in
the image repositories. The proposed approach, called Maximum Similarity Method, is …
the image repositories. The proposed approach, called Maximum Similarity Method, is …
Selected aspects of interactive feature extraction
M Grzegorowski - Transactions on Rough Sets XXIII, 2023 - Springer
In the presented study, the problem of interactive feature extraction, ie, supported by
interaction with users, is discussed, and several innovative approaches to automating …
interaction with users, is discussed, and several innovative approaches to automating …
Development of a Knowledge-Based System for Diagnosing of Diesel Engines
H Gharib, G Kovács - Vehicle and Automotive Engineering, 2022 - Springer
Abstract Knowledge-Based Systems apply Artificial Intelligence techniques to solve difficult
problems in complex systems that well-trained experts can only manage. These systems can …
problems in complex systems that well-trained experts can only manage. These systems can …
Harnessing Machine Learning and Big Data Analytics for Real-World Applications: A Comprehensive Survey
Due to the exponential amount of data that is been generated every day, Big Data Analytics
became a thriving research area in many domains especially computer science in all over …
became a thriving research area in many domains especially computer science in all over …