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Flores Fonseca, Víctor Manuel

Académico

Posiciones

Académico, Centro de Investigación Tecnológica del Agua y Sustentabilidad en el Desierto (CEITSAZA) 2014 -
Académico, Departamento de Ingeniería de Sistemas y Computación 2014 -

Áreas de investigación

Enfoque geográfico

Chile País

publicaciones seleccionadas

artículo editorial
- Predicting copper recovery from flotation using machine learning and laboratory-generated data. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2025
- Random forest for generating recommendations for predicting copper recovery by flotation. IEEE Latin America Transactions. 2024
- Sustainable Digital Transformation for SMEs: A Comprehensive Framework for Informed Decision-Making. Sustainability. 2024
- The effect of water quality change on copper flotation. Physicochemical Problems of Mineral Processing. 2023
- Water Quality Classification and Machine Learning Model for Predicting Water Quality Status—A Study on Loa River Located in an Extremely Arid Environment: Atacama Desert. Water. 2023
- Analysis of the Dynamics of Rougher Cells on the Basis of Phenomenological Models and Discrete Event Simulation Framework. Metals. 2021
- A decision support system for changes in operation modes of the copper heap leaching process. Metals. 2021
- Aprendizaje significativo con estrategia de enseñanza activa para un curso de proyecto software. Una experiencia en el norte de Chile. Ingeniare. Revista chilena de ingeniería. 2021
- A comparative study on supervised machine learning algorithms for copper recovery quality prediction in a leaching process. Sensors. 2021
- Improving Students’ Learning Skills for Developing a Software Project using Active Learning Techniques: Service-learning and Agile Software Development. International Journal of Engineering Education. 2020
- Using artificial intelligence techniques to improve the prediction of copper recovery by leaching. Journal of Sensors. 2020
- Gradient Boosted Trees Predictive Models for Surface Roughness in High‐Speed Milling in the Steel and Aluminum Metalworking Industry. Complexity. 2019
- Using the Belbin method and models for predicting the academic performance of engineering students. Computer Applications in Engineering Education. 2019
- Applying Active Methodologies for Teaching Software Engineering in Computer Engineering. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje. 2017
- Applying softcomputing for copper recovery in leaching process. Scientific Programming. 2017
- Generating multimedia presentations that summarize the behavior of dynamic systems using a model-based approach. Expert Systems with Applications. 2012
- Modelo Pre-Proceso de predicción de la Calidad Superficial en Fresado a Alta Velocidad basado en Softcomputing. Revista Iberoamericana de Automática e Informática Industrial RIAI. 2011
- A Computer Simulator Model for Generating Sulphuric Acid and Improve the Operational Results, Using Operational Data from a Chemical Plant. Journal of Sensors.
capítulo
- A Knowledge-Based Approach for Automatic Generation of Summaries of Behavior. Lecture Notes in Computer Science. 2006
documento
- Geo-Information Approaches for Water Quality Monitoring in Arid River Systems Using Machine Learning
documento de conferencia
- Cybersecurity Culture Assessment at a University in Chile: A Pilot Study.. ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) 2024. 2024
- Representation for a prototype of recommendation system of operation mode in copper mining. 2019 14th Iberian Conference on Information Systems and Technologies (CISTI). 2019
- A multi-agent, in-vehicle database recorder system for supporting traffic hotspots detection, geographical representation and analysis 2017
- A Framework for Urban Traffic Hotspots Detection 2015
- Modelling and Prediction of Surface Roughness and Power Consumption Using Parallel Extreme Learning Machine Based Particle Swarm Optimization. Proceedings in Adaptation, Learning and Optimization. 2015
- A presentation model for multimedia summaries of behavior 2008
- Generating Adaptive Presentations of Hydrologic Behavior. Lecture Notes in Computer Science. 2006

Palabras clave

Artificial Intelligence
Computer Science
Knowledge & Data Engineering
Knowledge representation
Ontologies

correo electrónico principal

vflores@ucn.cl

página web

ORCID

https://orcid.org/0000-0002-6995-9434

OpenAlex

https://openalex.org/authors/a5076547036

Publicaciones en VIVO

Mapa de la ciencia

Información de Contacto

vflores@ucn.cl

Sitios web