What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Statistics
Ignacio Rojas spends much of his time researching Artificial intelligence, Algorithm, Data mining, Artificial neural network and Fuzzy logic.
His Artificial intelligence study combines topics in areas such as Ranking, Machine learning and Time series.
His Algorithm study incorporates themes from Radial basis function kernel, Kernel smoother, Kernel embedding of distributions and Least squares support vector machine.
His biological study spans a wide range of topics, including Membership function, Fuzzy number, Fuzzy classification, Type-2 fuzzy sets and systems and Fuzzy set operations.
As part of the same scientific family, Ignacio Rojas usually focuses on Artificial neural network, concentrating on Pattern recognition and intersecting with Genetic algorithm and Nonlinear programming.
His Fuzzy control system study in the realm of Fuzzy logic interacts with subjects such as Process control.
His most cited work include:
- Window Size Impact in Human Activity Recognition (248 citations)
- Prenatal detection of velamentous insertion of the umbilical cord: a prospective color Doppler ultrasound study (185 citations)
- Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation (173 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Artificial intelligence, Algorithm, Artificial neural network, Fuzzy logic and Fuzzy control system.
The Artificial intelligence study combines topics in areas such as Machine learning, Data mining and Pattern recognition.
His Data mining study which covers Activity recognition that intersects with Wearable computer.
His Algorithm study also includes fields such as
- Function approximation that intertwine with fields like Mathematical optimization and Cluster analysis,
- Evolutionary algorithm, which have a strong connection to Evolutionary computation.
His Artificial neural network research incorporates elements of Genetic algorithm, Computational intelligence and Robustness.
His research investigates the connection between Defuzzification and topics such as Membership function that intersect with issues in Fuzzy set operations.
He most often published in these fields:
- Artificial intelligence (39.02%)
- Algorithm (21.34%)
- Artificial neural network (20.43%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (39.02%)
- Microarray (3.35%)
- Feature selection (14.02%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Microarray, Feature selection, Time series and Computational biology.
He has researched Artificial intelligence in several fields, including Machine learning, Wearable computer, Information integration and Pattern recognition.
In his study, which falls under the umbrella issue of Machine learning, Decision tree is strongly linked to Communication channel.
His Microarray research is multidisciplinary, incorporating elements of DNA microarray and Gene signature.
The Feature selection study which covers Support vector machine that intersects with Mutual information and Biomarker.
Ignacio Rojas works mostly in the field of Time series, limiting it down to topics relating to Econometrics and, in certain cases, Mathematical statistics and Parametric statistics, as a part of the same area of interest.
Between 2015 and 2021, his most popular works were:
- Integrative multi-platform meta-analysis of gene expression profiles in pancreatic ductal adenocarcinoma patients for identifying novel diagnostic biomarkers. (20 citations)
- Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling. (20 citations)
- Multi-Objective Genetic Algorithms to Find Most Relevant Volumes of the Brain Related to Alzheimer's Disease and Mild Cognitive Impairment. (16 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Statistics
Microarray, Gene expression, Feature selection, Computational biology and Artificial intelligence are his primary areas of study.
His research in the fields of Gene chip analysis overlaps with other disciplines such as Biomarker.
His Feature selection research includes elements of Intention to use, Management science, Support vector machine and Operations research.
His Computational biology research incorporates themes from Meta-analysis, Disease and Cancer biomarkers.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Pattern recognition.
Ignacio Rojas combines subjects such as Communication channel and Electroencephalography with his study of Machine learning.
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