Author

Alfonso Rojas‐Domínguez

Observed names: A. Rojas, A. Rojas-Domínguez, Alfonso Rojas, Alfonso Rojas Dominguez, Alfonso Rojas Domínguez, Alfonso Rojas-Dominguez, Alfonso Rojas-Domínguez, Rojas Dominguez, Alfonso, Rojas-Domínguez, Alfonso

Observed institutions: Universidad de Guanajuato, University of Liverpool, Tecnológico Nacional de México, Instituto Tecnológico de León, Secretaría de Ciencia, Humanidades, Tecnología e Innovación, Instituto Politécnico Nacional, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Universidad Nacional Autónoma de México, Universitat Politècnica de Catalunya

ORCID: 0000-0003-1818-4162

Observed ORCID: 0000-0003-1818-4162

OpenAlex ID: A5063638393

Toward breast cancer diagnosis based on automated segmentation of masses in mammograms

2008 · Alfonso Rojas Domínguez, Asoke K. Nandi · Pattern Recognition · 122

Detection of masses in mammograms via statistically based enhancement, multilevel-thresholding segmentation, and region selection

2008 · Alfonso Rojas Domínguez, Asoke K. Nandi · Computerized Medical Imaging and Graphics · 122

An Empirical Overview of the No Free Lunch Theorem and Its Effect on Real-World Machine Learning Classification

2015 · David Gómez, Alfonso Rojas · Neural Computation · 114

Practical scheme for fast detection and classification of rolling-element bearing faults using support vector machines

2005 · Alfonso Rojas, Asoke K. Nandi · Mechanical Systems and Signal Processing · 94

Optimal Hyper-Parameter Tuning of SVM Classifiers With Application to Medical Diagnosis

2017 · Alfonso Rojas-Dominguez, Luis Carlos Padierna, et al. · IEEE Access · 86

A novel formulation of orthogonal polynomial kernel functions for SVM classifiers: The Gegenbauer family

2018 · Luis Carlos Padierna, Martín Carpio, et al. · Pattern Recognition · 76

Improved dynamic‐programming‐based algorithms for segmentation of masses in mammograms

2007 · Alfonso Rojas Domínguez, Asoke K. Nandi · Medical Physics · 45

Hyper-Parameter Tuning for Support Vector Machines by Estimation of Distribution Algorithms

2016 · Luis Carlos Padierna, Martín Carpio, et al. · Studies in computational intelligence · 44

Development of tolerant features for characterization of masses in mammograms

2009 · Alfonso Rojas-Domínguez, Asoke K. Nandi · Computers in Biology and Medicine · 41

Detection and Classification of Rolling-Element Bearing Faults using Support Vector Machines

2006 · A. Rojas, A.K. Nandi · Machine learning for signal processing ... · 30

Evolutionary Spiking Neural Networks for Solving Supervised Classification Problems

2019 · G. López-Vázquez, M. Ornelas-Rodriguez, et al. · Computational Intelligence and Neuroscience · 26

PDF

Wireless technology applied to GIS

2004 · Jordi Casademont, Elena Lopez-Aguilera, et al. · Computers & Geosciences · 22

Automated classification of archaeological ceramic materials by means of texture measures

2017 · Irmgard Hein, Alfonso Rojas-Domínguez, et al. · Journal of Archaeological Science Reports · 21

Enhanced Multi-Level Thresholding Segmentation and Rank Based Region Selection for Detection of Masses in Mammograms

2007 · Alfonso Rojas Dominguez, Asoke K Nandi · IEEE International Conference on Acoustics Speech and Signal Processing · 19

Modeling cancer immunoediting in tumor microenvironment with system characterization through the ising-model Hamiltonian

2022 · Alfonso Rojas-Domínguez, Renato Arroyo-Duarte, et al. · BMC Bioinformatics · 17

PDF

Bio-inspired Metaheuristics for Hyper-parameter Tuning of Support Vector Machine Classifiers

2018 · Adán Godínez-Bautista, Luis Carlos Padierna, et al. · Studies in computational intelligence · 11

Parameter optimization for the smoothed-particle hydrodynamics method by means of evolutionary metaheuristics

2019 · Juan de Anda-Suárez, Solai Jeyakumar, et al. · Computer Physics Communications · 7

Evolutionary Design of Problem-Adapted Image Descriptors for Texture Classification

2018 · Valentin Calzada-Ledesma, Hector J. Puga-Soberanes, et al. · IEEE Access · 7

Visualization of compound drops formation in multiphase processes for the identification of factors influencing bubble and water droplet inclusions in oil drops

2012 · G. Corkidi, A. Rojas, et al. · Process Safety and Environmental Protection · 6

Automated recognition of oil drops in images of multiphase dispersions via gradient direction pattern

2011 · Alfonso Rojas Dominguez, Gabriel Corkidi · International Congress on Image and Signal Processing (CISP) · 6

Fuzzy multi-agent assistance system for elderly care based on user engagement

2022 · Alfonso Rojas-Domínguez, Carlos Lino-Ramírez, et al. · Journal of Ambient Intelligence and Smart Environments · 5

A Methodology to Determine the Subset of Heuristics for Hyperheuristics through Metalearning for Solving Graph Coloring and Capacitated Vehicle Routing Problems

2021 · Lucero Ortiz-Aguilar, Martín Carpio, et al. · Complexity · 5

PDF

Partially-Connected Artificial Neural Networks Developed by Grammatical Evolution for Pattern Recognition Problems

2018 · Olga Quiroz-Ramírez, Andrés Espinal, et al. · Studies in computational intelligence · 5

Gradient‐Direction‐Pattern Transform for Automated Measurement of Oil Drops in Images of Multiphase Dispersions

2014 · Alfonso Rojas‐Domínguez, Alehlí Holguín‐Salas, et al. · Chemical Engineering & Technology · 5

Detection of masses in mammograms using enhanced multilevel-thresholding segmentation and region selection based on rank

2007 · Alfonso Rojas‐Domínguez, Asoke K. Nandi · International Conference on Biomedical Engineering · 5

Works count: 68

Citation count: 999

H-index: 15

I10-index: 16