GI-LIDIA - Congresos, conferencias, etc.: Envíos recentes
Mostrando ítems 6-10 de 27
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Gamifying Machine Teaching: Human-in-the-Loop Approach for Diphthong and Hiatus Identification in Spanish Language
(Elsevier B.V., 2023)[Abstract]: Human-in-the-Loop Machine Learning (HITL-ML) is a set of techniques that attempt to actively involve experts into the learning loop of machine learning (ML) models. One of these techniques is Machine Teaching ... -
Quantum Factory Method: A Software Engineering Approach to Deal with Incompatibilities in Quantum Libraries
(Springer Nature, 2023-06)[Abstract]: The current context of Quantum Computing and its available technologies present an extensive variety of tools and lack of methodologies, leading to incompatibilities across platforms, which end up as inconsistencies ... -
Sustainable personalisation and explainability in Dyadic Data Systems
(2022)[Abstract]: Systems that rely on dyadic data, which relate entities of two types together, have become ubiquitously used in fields such as media services, tourism business, e-commerce, and others. However, these systems ... -
A classification and review of tools for developing and interacting with machine learning systems
(Association for Computing Machinery, 2022)[Abstract] In this paper we aim to bring some order to the myriad of tools that have emerged in the field of Artificial Intelligence (AI), focusing on the field of Machine Learning (ML). For this purpose, we suggest a ... -
Integrating Iterative Machine Teaching and Active Learning into the Machine Learning Loop
(Elsevier, 2021)[Abstract] Scholars and practitioners are defining new types of interactions between humans and machine learning algorithms that we can group under the umbrella term of Human-in-the-Loop Machine Learning (HITL-ML). This ...