Francisco Martínez-Álvarez

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 99

Top Venues

Publications

Angela Robledo Troncoso-García, Manuel Jesús Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso
Ground-Level Ozone Forecasting Using Explainable Machine Learning. CAEPIA (2024)
Francesc Rodríguez-Díaz, José Francisco Torres, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines. CAEPIA (2024)
David Gutiérrez-Avilés, José F. Torres, Francisco Martínez-Álvarez, Jairo Cugliari
An evolutionary triclustering approach to discover electricity consumption patterns in France. SAC (2024)
Francisco Martínez-Álvarez, Rudolf Scitovski, Cristina Rubio-Escudero, Antonio Morales-Esteban
Emerging trends in big data analytics and natural disasters. Comput. Geosci. 182 (2024)
Rubén Pérez-Chacón, Gualberto Asencio-Cortés, Alicia Troncoso Lora, Francisco Martínez-Álvarez
Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption. Future Gener. Comput. Syst. 154 (2024)
M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
Explaining deep learning models for ozone pollution prediction via embedded feature selection. Appl. Soft Comput. 157 (2024)
M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
Explaining Learned Patterns in Deep Learning by Association Rules Mining. SOCO (2) (2023)
A. R. Troncoso-García, Isabel Brito, Alicia Troncoso, Francisco Martínez-Álvarez
Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting. Comput. Electron. Agric. 215 (2023)
Andrés Manuel Chacón-Maldonado, A. R. Troncoso-García, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, Alicia Troncoso
Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning. SOCO (2) (2023)
Angela Troncoso-García, Alicia Troncoso Lora, Francisco Martínez-Álvarez, María Martínez-Ballesteros
Evolutionary computation to explain deep learning models for time series forecasting. SAC (2023)
Laura Melgar-García, Francisco Martínez-Álvarez, Dieu Tien Bui, Alicia Troncoso
A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area. Int. J. Digit. Earth 16 (1) (2023)
M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning. IWANN (2) (2023)
Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Isabel Sofia Brito, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal. SAC (2023)
Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting. J. Big Data 10 (1) (2023)
A. R. Troncoso-García, M. Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora
Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals. IWANN (1) (2023)
E. Tefera, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez
A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia. HAIS (2023)
José F. Torres, S. Valencia, Francisco Martínez-Álvarez, N. Hoyos
Predicting Wildfires in the Caribbean Using Multi-source Satellite Data and Deep Learning. IWANN (2) (2023)
M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
PHILNet: A novel efficient approach for time series forecasting using deep learning. Inf. Sci. 632 (2023)
Antonio M. Fernández-Gómez, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
A new Apache Spark-based framework for big data streaming forecasting in IoT networks. J. Supercomput. 79 (10) (2023)
Pablo Casas-Gómez, Francisco Martínez-Álvarez, Alicia Troncoso, Juan Carlos Linares
Machine Learning Approaches for Predicting Tree Growth Trends Based on Basal Area Increment. SOCO (1) (2023)
Andrés Manuel Chacón-Maldonado, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso
FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer. SoftwareX 23 (2023)
Dalil Hadjout, Abderrazak Sebaa, José F. Torres, Francisco Martínez-Álvarez
Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market. Expert Syst. Appl. 227 (2023)
A. R. Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso
A new approach based on association rules to add explainability to time series forecasting models. Inf. Fusion 94 (2023)
Laura Melgar-García, David Gutiérrez-Avilés, Maria Teresa Godinho, Rita Espada, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture. Neurocomputing 500 (2022)
A. R. Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso
Explainable machine learning for sleep apnea prediction. KES (2022)
Francisco Martínez-Álvarez, Alicia Troncoso Lora, Héctor Quintián, Emilio Corchado
Special issue SOCO 2019: New trends in soft computing and its application in industrial and environmental problems. Neurocomputing 470 (2022)
C. Segarra-Martín, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez
A novel approach to discover numerical association based on the coronavirus optimization algorithm. SAC (2022)
Miguel Angel Molina-Cabanillas, M. J. Jiménez-Navarro, R. Arjona, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting. Knowl. Based Syst. 254 (2022)
Kien-Trinh Thi Bui, José F. Torres, David Gutiérrez-Avilés, Viet-Ha Nhu, Dieu Tien Bui, Francisco Martínez-Álvarez
Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm. Comput. Aided Civ. Infrastructure Eng. 37 (11) (2022)
Andrés Manuel Chacón-Maldonado, Miguel Angel Molina-Cabanillas, Alicia Troncoso, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning. HAIS (2022)
José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso
A deep LSTM network for the Spanish electricity consumption forecasting. Neural Comput. Appl. 34 (13) (2022)
Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Isabel Sofia Sousa Brito, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection. SOCO (2022)
Juan Alberto Gallardo-Gómez, Federico Divina, Alicia Troncoso, Francisco Martínez-Álvarez
Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem. SOCO (2022)
Ejigu T. Habtermariam, Kula Kekeba, Alicia Troncoso, Francisco Martínez-Álvarez
A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia. SOCO (2022)
José F. Torres, Dalil Hadjout, Abderrazak Sebaa, Francisco Martínez-Álvarez, Alicia Troncoso
Deep Learning for Time Series Forecasting: A Survey. Big Data 9 (1) (2021)
M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso, Gualberto Asencio-Cortés
HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting. SOCO (2021)
Dalil Hadjout, J. F. Torres, Abderrazak Sebaa, Francisco Martínez-Álvarez
Medium-Term Electricity Consumption Forecasting in Algeria Based on Clustering, Deep Learning and Bayesian Optimization Methods. SOCO (2021)
M. Á. Molina, M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery. HAIS (2021)
José F. Torres, M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso
Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks. CAEPIA (2021)
Aythami Morales, Francisco Martínez-Álvarez, Russell L. Woods
Saccade Landing Point Prediction Based on Fine-Grained Learning Method. IEEE Access 9 (2021)
Antonio Morales-Esteban, Francisco Martínez-Álvarez, Sanja Scitovski, Rudolf Scitovski
Mahalanobis clustering for the determination of incidence-magnitude seismic parameters for the Iberian Peninsula and the Republic of Croatia. Comput. Geosci. 156 (2021)
A. Melara, J. F. Torres, Alicia Troncoso, Francisco Martínez-Álvarez
Electricity Generation Forecasting in Concentrating Solar-Thermal Power Plants with Ensemble Learning. SOCO (2021)
Fateme Moslehi, Abdorrahman Haeri, Francisco Martínez-Álvarez
A novel hybrid GA-PSO framework for mining quantitative association rules. Soft Comput. 24 (6) (2020)
Pedro Lara-Benítez, Manuel Carranza-García, Francisco Martínez-Álvarez, José C. Riquelme
On the Performance of Deep Learning Models for Time Series Classification in Streaming. SOCO (2020)
Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, José F. Torres, David Gutiérrez-Avilés, Laura Melgar-García, Rubén Pérez-Chacón, Cristina Rubio-Escudero, José C. Riquelme, Alicia Troncoso Lora
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model. Big Data 8 (4) (2020)
Oihana Mitxelena-Hoyos, José Lázaro Amaro-Mellado, Francisco Martínez-Álvarez
Use of IT in Project-Based Learning Applied to the Subject Surveying in Civil Engineering. ICEUTE (2020)
Guillermo Santamaría Bonfil, María-Blanca Ibáñez-Espiga, Miguel Pérez-Ramírez, Gustavo Arroyo-Figueroa, Francisco Martínez-Álvarez
Learning analytics for student modeling in virtual reality training systems: Lineworkers case. Comput. Educ. 151 (2020)
Miguel Ángel Molina, Gualberto Asencio-Cortés, José C. Riquelme, Francisco Martínez-Álvarez
A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets. SOCO (2020)
Francisco Martínez-Álvarez, Pedro J. Zufiria, Luis J. Yebra
Port-Hamiltonian Modeling of Multiphysics Systems and Object-Oriented Implementation With the Modelica Language. IEEE Access 8 (2020)
Francisco Martínez-Álvarez, Dieu Tien Bui
Advanced Machine Learning and Big Data Analytics in Remote Sensing for Natural Hazards Management. Remote. Sens. 12 (2) (2020)
Rubén Pérez-Chacón, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso Lora
Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand. Inf. Sci. 540 (2020)
Pedro Lara-Benítez, Manuel Carranza-García, Francisco Martínez-Álvarez, José C. Riquelme
On the performance of deep learning models for time series classification in streaming. CoRR (2020)
Laura Melgar-García, Maria Teresa Godinho, Rita Espada, David Gutiérrez-Avilés, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering. SOCO (2020)
Antonio M. Fernández, David Gutiérrez-Avilés, Alicia Troncoso Lora, Francisco Martínez-Álvarez
Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration. Big Data Res. (2020)
Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, José F. Torres, David Gutiérrez-Avilés, Laura Melgar-García, Rubén Pérez-Chacón, Cristina Rubio-Escudero, José C. Riquelme, Alicia Troncoso
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model. CoRR (2020)
José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez
Big data solar power forecasting based on deep learning and multiple data sources. Expert Syst. J. Knowl. Eng. 36 (4) (2019)
Antonio Galicia, Ricardo L. Talavera-Llames, Alicia Troncoso Lora, Irena Koprinska, Francisco Martínez-Álvarez
Multi-step forecasting for big data time series based on ensemble learning. Knowl. Based Syst. 163 (2019)
Cristina Rubio-Escudero, Francisco Martínez-Álvarez, E. Atencia-Gil, Alicia Troncoso
Implementation of an Internal Quality Assurance System at Pablo de Olavide University of Seville: Improving Computer Science Students Skills. CISIS-ICEUTE (2019)
José Lázaro Amaro-Mellado, Daniel Antón, Macarena Pérez-Suárez, Francisco Martínez-Álvarez
Game-Based Student Response System Applied to a Multidisciplinary Teaching Context. CISIS-ICEUTE (2019)
Catalina Gomez-Quiles, Gualberto Asencio-Cortés, Adolfo Gastalver-Rubio, Francisco Martínez-Álvarez, Alicia Troncoso, Joan Manresa, José C. Riquelme, Jesús Manuel Riquelme-Santos
A Novel Ensemble Method for Electric Vehicle Power Consumption Forecasting: Application to the Spanish System. IEEE Access 7 (2019)
Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, Alicia Troncoso, Francisco Martínez-Álvarez
MV-kWNN: A novel multivariate and multi-output weighted nearest neighbours algorithm for big data time series forecasting. Neurocomputing 353 (2019)
Miguel García-Torres, David Becerra-Alonso, Francisco Antonio Gómez Vela, Federico Divina, Isabel López-Cobo, Francisco Martínez-Álvarez
Analysis of Student Achievement Scores: A Machine Learning Approach. CISIS-ICEUTE (2019)
Francisco Martínez-Álvarez, A. Morales-Esteban
Big data and natural disasters: New approaches for spatial and temporal massive data analysis. Comput. Geosci. 129 (2019)
José F. Torres, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting. IWANN (1) (2019)
Antonio M. Fernández, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks. SOCO (2019)
Francisco Martínez-Álvarez, Alicia Troncoso, Héctor Quintián, Emilio Corchado
Special issue on Hybrid Artificial Intelligence Systems from HAIS 2016 Conference. Neurocomputing 353 (2019)
Emilio Florido, Gualberto Asencio-Cortés, José Luis Aznarte, Cristina Rubio-Escudero, Francisco Martínez-Álvarez
A novel tree-based algorithm to discover seismic patterns in earthquake catalogs. Comput. Geosci. 115 (2018)
Cristina Rubio-Escudero, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso, José C. Riquelme
Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses. SOCO-CISIS-ICEUTE (2018)
José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez
Deep Learning for Big Data Time Series Forecasting Applied to Solar Power. SOCO-CISIS-ICEUTE (2018)
David Gutiérrez-Avilés, J. A. Fábregas, J. Tejedor, Francisco Martínez-Álvarez, Alicia Troncoso, A. Arcos, José C. Riquelme
SmartFD: A Real Big Data Application for Electrical Fraud Detection. HAIS (2018)
José L. Amaro-Mellado, Antonio Morales-Esteban, Francisco Martínez-Álvarez
Mapping of seismic parameters of the Iberian Peninsula by means of a geographic information system. Central Eur. J. Oper. Res. 26 (3) (2018)
Antonio Galicia, José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso Lora
A novel spark-based multi-step forecasting algorithm for big data time series. Inf. Sci. 467 (2018)
Álvaro Gómez-Losada, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, José C. Riquelme
A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information. Environ. Model. Softw. 110 (2018)
Neeraj Bokde, Marcus W. Beck, Francisco Martínez-Álvarez, Kishore Kulat
A novel imputation methodology for time series based on pattern sequence forecasting. Pattern Recognit. Lett. 116 (2018)
Gualberto Asencio-Cortés, Antonio Morales-Esteban, Xueyi Shang, Francisco Martínez-Álvarez
Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure. Comput. Geosci. 115 (2018)
Zheng Wang, Irena Koprinska, Alicia Troncoso, Francisco Martínez-Álvarez
Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting. IJCNN (2018)
Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, Alicia Troncoso Lora, Francisco Martínez-Álvarez
Big data time series forecasting based on nearest neighbours distributed computing with Spark. Knowl. Based Syst. 161 (2018)
José F. Torres, Antonio Galicia, Alicia Troncoso Lora, Francisco Martínez-Álvarez
A scalable approach based on deep learning for big data time series forecasting. Integr. Comput. Aided Eng. 25 (4) (2018)
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, A. Morales-Esteban, Jorge Reyes, Alicia Troncoso Lora
Using principal component analysis to improve earthquake magnitude prediction in Japan. Log. J. IGPL 25 (6) (2017)
Gualberto Asencio-Cortés, Sanja Scitovski, Rudolf Scitovski, Francisco Martínez-Álvarez
Temporal analysis of croatian seismogenic zones to improve earthquake magnitude prediction. Earth Sci. Informatics 10 (3) (2017)
José F. Torres, Antonio M. Fernández, Alicia Troncoso Lora, Francisco Martínez-Álvarez
Deep Learning-Based Approach for Time Series Forecasting with Application to Electricity Load. IWINAC (2) (2017)
Neeraj Bokde, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Kishore Kulat
PSF: Introduction to R Package for Pattern Sequence Based Forecasting Algorithm. R J. 9 (1) (2017)
Antonio Galicia, José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso
Scalable Forecasting Techniques Applied to Big Electricity Time Series. IWANN (2) (2017)
Francisco Martínez-Álvarez, Alicia Troncoso, Jorge Reyes, María Martínez-Ballesteros, José C. Riquelme
Applications of Computational Intelligence in Time Series. Comput. Intell. Neurosci. 2017 (2017)
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso Lora, A. Morales-Esteban
Medium-large earthquake magnitude prediction in Tokyo with artificial neural networks. Neural Comput. Appl. 28 (5) (2017)
Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez
A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting. HAIS (2016)
Gualberto Asencio-Cortés, Emilio Florido, Alicia Troncoso, Francisco Martínez-Álvarez
A novel methodology to predict urban traffic congestion with ensemble learning. Soft Comput. 20 (11) (2016)
Khawaja M. Asim, Adnan Idris, Francisco Martínez-Álvarez, Talat Iqbal
Short Term Earthquake Prediction in Hindukush Region Using Tree Based Ensemble Learning. FIT (2016)
María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez, José C. Riquelme
Obtaining optimal quality measures for quantitative association rules. Neurocomputing 176 (2016)
María Martínez-Ballesteros, Alicia Troncoso Lora, Francisco Martínez-Álvarez, José C. Riquelme
Improving a multi-objective evolutionary algorithm to discover quantitative association rules. Knowl. Inf. Syst. 49 (2) (2016)
Antonio M. Fernández, José F. Torres, Alicia Troncoso, Francisco Martínez-Álvarez
Automated Spark Clusters Deployment for Big Data with Standalone Applications Integration. CAEPIA (2016)
Rubén Pérez-Chacón, Ricardo L. Talavera-Llames, Francisco Martínez-Álvarez, Alicia Troncoso Lora
Finding Electric Energy Consumption Patterns in Big Time Series Data. DCAI (2016)
Fawad Hassan, Naeem Iqbal, Francisco Martínez-Álvarez, Khawaja M. Asim
Passivity Based Control of Cyber Physical Systems Under Zero-Dynamics Attack. HAIS (2016)
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, A. Morales-Esteban, Jorge Reyes
A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction. Knowl. Based Syst. 101 (2016)
Emilio Florido, O. Castaño, Alicia Troncoso, Francisco Martínez-Álvarez
Data Mining for Predicting Traffic Congestion and Its Application to Spanish Data. SOCO (2015)
Jorge García-Gutiérrez, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables. Neurocomputing 167 (2015)
Emilio Florido, Francisco Martínez-Álvarez, Antonio Morales-Esteban, Jorge Reyes, José Luis Aznarte-Mellado
Detecting precursory patterns to enhance earthquake prediction in Chile. Comput. Geosci. 76 (2015)
Francisco Martínez-Álvarez, David Gutiérrez-Avilés, Antonio Morales-Esteban, Jorge Reyes, José L. Amaro-Mellado, Cristina Rubio-Escudero
A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula. Entropy 17 (7) (2015)
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Antonio Morales-Esteban, Jorge Reyes, Alicia Troncoso Lora
Improving Earthquake Prediction with Principal Component Analysis: Application to Chile. HAIS (2015)
Antonio Morales-Esteban, Francisco Martínez-Álvarez, Sanja Scitovski, Rudolf Scitovski
A fast partitioning algorithm using adaptive Mahalanobis clustering with application to seismic zoning. Comput. Geosci. 73 (2014)

Francisco Martínez-Álvarez.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Francisco Martínez-Álvarez