Titlebook: Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,; IISA2023 Nikolaos Bourbakis,George A.

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Few-Shot 1/, Anomalies Feedback: Damage Vision Mining Opportunity and Embedding Feature Imbalancejority-minority class imbalance, 3) foreground-background of spatial imbalance, 4) long-tailed class of pixel-wise imbalance. Since 2015, there has been many imbalanced studies using deep learning approaches that includes regression, image classification, object detection, semantic segmentation. How

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An Expert System for Decision Making in the Face of Imprecise, Inconsistent and Paracomplete Data – licting opinions or omit information. The usual systems based on classical reasoning to manipulate such data show us difficulty in implementation or their logical analysis. Even decision-makers are not comfortable with the presence of inaccurate information. This work presents an expert system that

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Machine Learning and Human Unlearningmber of variables that are related to models, types of algorithms, classification techniques, among others. In all of them, data continues to be the key element. A piece of data that is the input to a process to obtain information, which in turn can be transformed into data for a new process, in a f

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Circumstance Evaluation Using Extreme Value Analysis on Charging Station Data: The Case of DEI Blue e demand for EV charging. The datasets have been provided by ., a service designed to provide integrated e-mobility solutions to individuals, companies and public administration throughout Greece. Eventhough the data are limited as they have been collected during a period of only twelve months, our

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