Olac Fuentes
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- Face and Expression Recognition 9
- Media Technology top 5%
- Artificial Intelligence top 5%
- Speech and dialogue systems 6
- Neural Networks and Applications 6
- Reinforcement Learning in Robotics 5
- Machine Learning and Data Classification 5
- Imbalanced Data Classification Techniques 4
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- Robot Manipulation and Learning 9
- Robotic Mechanisms and Dynamics 4
- Co-authors
- Randal C. NelsonJorge de la CallejaMartin JägersandNigel G. WardВладик КрейновичChris QuintanaRajesh P. N. RaoRichard Brower
- Journals
- Monthly Notices of the Royal Astronomical Society (1 paper)Remote Sensing (1 paper)Machine Learning (2 papers)
- Partner nations
- United StatesMexicoPuerto Rico
In The Last Decade
Olac Fuentes
64 papers receiving 770 citations
Peers
Comparison fields: 5 of 118
- Computer Vision and Pattern Recognition 367
- Media Technology 111
- Artificial Intelligence 236
- Physical Therapy, Sports Therapy and Rehabilitation 27
- Instrumentation 20
Countries citing papers authored by Olac Fuentes
This map shows the geographic impact of Olac Fuentes's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Olac Fuentes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olac Fuentes more than expected).
Fields of papers citing papers by Olac Fuentes
This network shows the impact of papers produced by Olac Fuentes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Olac Fuentes. The network helps show where Olac Fuentes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Olac Fuentes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2020 | 1 | |
| 3 | 2018 | 15 | |
| 4 | 2017 | 5 | |
| 5 | 2011 | 71 | |
| 6 | 2009 | 1 | |
| 7 | Selecting Minority Examples from Misclassified Data for Over- sampling | 2008 | 5 |
| 8 | The utility of knowledge transfer for noisy data | 2008 | 1 |
| 9 | Knowledge transfer in deep convolutional neural nets | 2007 | 2 |
| 10 | A distance-based over-sampling method for learning from imbalanced data sets | 2007 | 29 |
| 11 | Automated Classification of Astronomical Objects in Multispectral Wide-Field Images. | 2006 | 1 |
| 12 | Analysis of Galactic Spectra using Noise-Aware Learning Algorithms | 2006 | 1 |
| 13 | 2005 | 4 | |
| 14 | 2003 | 12 | |
| 15 | 2002 | 10 | |
| 16 | 2002 | 0 | |
| 17 | Prediction of stellar atmospheric parameters from spectra, spectral indices and spectral lines using machine learning | 2001 | 6 |
| 18 | Instance-Based Machine Learning Methods for the Prediction of Stellar Atmospheric Parameters | 2000 | 1 |
| 19 | Perceptual Homing by an Autonomous Mobile Robot using Sparse Self-Organizing Sensory-Motor Maps | 1995 | 2 |
| 20 | What non-linearity to choose? Mathematical foundations of fuzzy control | 1992 | 10 |
About Olac Fuentes
Olac Fuentes is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Instrumentation, having authored 70 papers that have together received 833 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (9 papers), Face and Expression Recognition (9 papers), Speech and dialogue systems (6 papers), Neural Networks and Applications (6 papers), Reinforcement Learning in Robotics (5 papers), Machine Learning and Data Classification (5 papers), Robotic Mechanisms and Dynamics (4 papers) and Imbalanced Data Classification Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (367 citations), Media Technology (111 citations) and Artificial Intelligence (236 citations). Olac Fuentes has collaborated with scholars based in United States, Mexico and Puerto Rico. Frequent co-authors include Randal C. Nelson, Jorge de la Calleja, Martin Jägersand, Nigel G. Ward, Владик Крейнович, Chris Quintana, Rajesh P. N. Rao, Richard Brower, Huiying Yu and Amr Abdelgawad. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Remote Sensing and Machine Learning.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.