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ORCIDAdrian Rubio Solis
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2020 – today
- 2023
[j8]Muhammad Zaiyad Muda
, Adrian Rubio Solis, George Panoutsos:
An evolving feature weighting framework for radial basis function neural network models. Expert Syst. J. Knowl. Eng. 40(5) (2023)- 2022
- [j7]Adrian Rubio-Solis, Uriel Martinez-Hernandez, Luciano Nava-Balanzar, Luis Govinda García-Valdovinos, Noé Amir Rodríguez-Olivares, Juan Pablo Orozco-Muñiz, Tomás Salgado-Jiménez:
Online Interval Type-2 Fuzzy Extreme Learning Machine applied to 3D path following for Remotely Operated Underwater Vehicles. Appl. Soft Comput. 115: 108054 (2022) - [i2]Tochukwu Onyeogulu, Salman Khan, Izzeddin Teeti, Amirul Islam, Kaizhe Jin, Adrian Rubio-Solis, Ravi Naik, George P. Mylonas, Fabio Cuzzolin:
Situation Awareness for Automated Surgical Check-listing in AI-Assisted Operating Room. CoRR abs/2209.05056 (2022) - [i1]Kaizhe Jin, Adrian Rubio-Solis, Ravi Naik, Tochukwu Onyeogulu, Amirul Islam, Salman Khan, Izzeddin Teeti, James Kinross, Daniel R. Leff, Fabio Cuzzolin, George P. Mylonas:
Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning. CoRR abs/2209.06208 (2022) - 2021
- [c17]Uriel Martinez-Hernandez, Adrian Rubio-Solis:
Predicted information gain and convolutional neural network for prediction of gait periods using a wearable sensors network. RO-MAN 2021: 1132-1137 - 2020
- [j6]Carlos Beltran Perez, Hua-Liang Wei, Adrian Rubio-Solis:
Generalized Multiscale RBF Networks and the DCT for Breast Cancer Detection. Int. J. Autom. Comput. 17(1): 55-70 (2020) - [j5]Uriel Martinez-Hernandez, Adrian Rubio-Solis, Tony J. Prescott:
Learning from sensory predictions for autonomous and adaptive exploration of object shape with a tactile robot. Neurocomputing 382: 127-139 (2020) - [j4]Adrian Rubio-Solis, George Panoutsos, Carlos Beltran Perez, Uriel Martinez-Hernandez:
A Multilayer Interval Type-2 Fuzzy Extreme Learning Machine for the recognition of walking activities and gait events using wearable sensors. Neurocomputing 389: 42-55 (2020) - [c16]Rolando A. Hernandez-Hernandez, Uriel Martinez-Hernandez, Adrian Rubio-Solis:
Multilayer Fuzzy Extreme Learning Machine Applied to Active classification and Transport of objects using an Unmanned Aerial Vehicle. FUZZ-IEEE 2020: 1-8 - [c15]Adrian Rubio-Solis, Tomás Salgado-Jiménez, Luis Govinda García-Valdovinos, Luciano Nava-Balanzar, Rolando A. Hernandez-Hernandez, Uriel Martinez-Hernandez:
An Evolutionary General Type-2 Fuzzy Neural Network applied to Trajectory Planning in Remotely Operated Underwater Vehicles. FUZZ-IEEE 2020: 1-8 - [c14]Uriel Martinez-Hernandez, Lin Meng, Dingguo Zhang, Adrian Rubio-Solis:
Towards a context-based Bayesian recognition of transitions in locomotion activities. RO-MAN 2020: 677-682
2010 – 2019
- 2019
- [j3]Adrian Rubio Solis, Patricia Melin, Uriel Martinez-Hernandez, George Panoutsos:
General Type-2 Radial Basis Function Neural Network: A Data-Driven Fuzzy Model. IEEE Trans. Fuzzy Syst. 27(2): 333-347 (2019) - [c13]Anwar Musah, Adrian Rubio-Solis, Georgiana Birjovanu, Wellington P. dos Santos, Tiago Massoni, Patty Kostkova:
Assessing the Relationship between various Climatic Risk Factors & Mosquito Abundance in Recife, Brazil. PDH 2019: 97-100 - [c12]Adrian Rubio-Solis, Anwar Musah, Wellington P. dos Santos, Tiago Massoni, Georgiana Birjovanu, Patty Kostkova:
ZIKA Virus: Prediction of Aedes Mosquito Larvae Occurrence in Recife (Brazil) using Online Extreme Learning Machine and Neural Networks. PDH 2019: 101-110 - [c11]Uriel Martinez-Hernandez, Victor M. Cedeno-Campos, Adrian Rubio-Solis:
Active visual object exploration and recognition with an unmanned aerial vehicle. IJCNN 2019: 1-7 - [c10]Adrian Rubio-Solis, Uriel Martinez-Hernandez:
Hierarchical Behaviour for Object Shape Recognition Using a Swarm of Robots. Living Machines 2019: 355-359 - [c9]Uriel Martinez-Hernandez, Adrian Rubio-Solis, Victor M. Cedeno-Campos, Abbas A. Dehghani-Sanij:
Towards an intelligent wearable ankle robot for assistance to foot drop. SMC 2019: 3410-3415 - 2018
- [c8]Uriel Martinez-Hernandez, Adrian Rubio Solis, Abbas A. Dehghani-Sanij:
Recognition of Walking Activity and Prediction of Gait Periods with a CNN and First-Order MC Strategy. BioRob 2018: 897-902 - [c7]Adrian Rubio Solis, Uriel Martinez-Hernandez, George Panoutsos:
Evolutionary Extreme Learning Machine for the Interval Type-2 Radial Basis Function Neural Network: A Fuzzy Modelling Approach. FUZZ-IEEE 2018: 1-8 - 2017
- [c6]Uriel Martinez-Hernandez, Adrian Rubio Solis, George Panoutsos, Abbas A. Dehghani-Sanij:
A combined Adaptive Neuro-Fuzzy and Bayesian strategy for recognition and prediction of gait events using wearable sensors. FUZZ-IEEE 2017: 1-6 - [c5]Adrian Rubio Solis, George Panoutsos:
An ensemble data-driven fuzzy network for laser welding quality prediction. FUZZ-IEEE 2017: 1-6 - 2016
- [c4]Adrian Rubio Solis, George Panoutsos:
Iterative information granulation for novelty detection in complex datasets. FUZZ-IEEE 2016: 953-960 - [c3]Uriel Martinez-Hernandez, Adrian Rubio Solis, Tony J. Prescott:
Bayesian perception of touch for control of robot emotion. IJCNN 2016: 4927-4933 - [c2]Adrian Rubio Solis, George Panoutsos, Steve Thornton:
A Data-driven fuzzy modelling framework for the classification of imbalanced data. IEEE Conf. on Intelligent Systems 2016: 302-307 - 2015
- [j2]Adrian Rubio Solis, George Panoutsos:
Interval Type-2 Radial Basis Function Neural Network: A Modeling Framework. IEEE Trans. Fuzzy Syst. 23(2): 457-473 (2015) - 2014
- [c1]Adrian Rubio Solis, George Panoutsos:
Fuzzy uncertainty assessment in RBF Neural Networks using neutrosophic sets for multiclass classification. FUZZ-IEEE 2014: 1591-1598 - 2013
- [j1]Adrian Rubio Solis, George Panoutsos:
Granular computing neural-fuzzy modelling: A neutrosophic approach. Appl. Soft Comput. 13(9): 4010-4021 (2013)
Coauthor Index
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