Granular computing neural-fuzzy modelling: A neutrosophic approach. - Adrian Rubio Solis; George Panoutsos (Appl. Soft Comput., 2013)

Fuzzy uncertainty assessment in RBF Neural Networks using neutrosophic sets for multiclass classification. - Adrian Rubio Solis; George Panoutsos (FUZZ-IEEE, 2014)

Interval Type-2 Radial Basis Function Neural Network: A Modeling Framework. - Adrian Rubio Solis; George Panoutsos (IEEE Trans. Fuzzy Syst., 2015)

Iterative information granulation for novelty detection in complex datasets. - Adrian Rubio Solis; George Panoutsos (FUZZ-IEEE, 2016)

Bayesian perception of touch for control of robot emotion. - Uriel Martinez-Hernandez; Adrian Rubio Solis; Tony J. Prescott (IJCNN, 2016)

A Data-driven fuzzy modelling framework for the classification of imbalanced data. - Adrian Rubio Solis; George Panoutsos; Steve Thornton (IEEE Conf. on Intelligent Systems, 2016)

A combined Adaptive Neuro-Fuzzy and Bayesian strategy for recognition and prediction of gait events using wearable sensors. - Uriel Martinez-Hernandez; Adrian Rubio Solis; George Panoutsos; Abbas A. Dehghani-Sanij (FUZZ-IEEE, 2017)

An ensemble data-driven fuzzy network for laser welding quality prediction. - Adrian Rubio Solis; George Panoutsos (FUZZ-IEEE, 2017)

Recognition of Walking Activity and Prediction of Gait Periods with a CNN and First-Order MC Strategy. - Uriel Martinez-Hernandez; Adrian Rubio Solis; Abbas A. Dehghani-Sanij (BioRob, 2018)

Evolutionary Extreme Learning Machine for the Interval Type-2 Radial Basis Function Neural Network: A Fuzzy Modelling Approach. - Adrian Rubio Solis; Uriel Martinez-Hernandez; George Panoutsos (FUZZ-IEEE, 2018)

Assessing the Relationship between various Climatic Risk Factors & Mosquito Abundance in Recife, Brazil. - Anwar Musah; Adrian Rubio-Solis; Georgiana Birjovanu; Wellington P. dos Santos; Tiago Massoni; Patty Kostkova (PDH, 2019)

ZIKA Virus: Prediction of Aedes Mosquito Larvae Occurrence in Recife (Brazil) using Online Extreme Learning Machine and Neural Networks. - Adrian Rubio-Solis; Anwar Musah; Wellington P. dos Santos; Tiago Massoni; Georgiana Birjovanu; Patty Kostkova (PDH, 2019)

Active visual object exploration and recognition with an unmanned aerial vehicle. - Uriel Martinez-Hernandez; Victor M. Cedeno-Campos; Adrian Rubio-Solis (IJCNN, 2019)

Hierarchical Behaviour for Object Shape Recognition Using a Swarm of Robots. - Adrian Rubio-Solis; Uriel Martinez-Hernandez (Living Machines, 2019)

Towards an intelligent wearable ankle robot for assistance to foot drop. - Uriel Martinez-Hernandez; Adrian Rubio-Solis; Victor M. Cedeno-Campos; Abbas A. Dehghani-Sanij (SMC, 2019)

General Type-2 Radial Basis Function Neural Network: A Data-Driven Fuzzy Model. - Adrian Rubio Solis; Patricia Melin; Uriel Martinez-Hernandez; George Panoutsos (IEEE Trans. Fuzzy Syst., 2019)

Multilayer Fuzzy Extreme Learning Machine Applied to Active classification and Transport of objects using an Unmanned Aerial Vehicle. - Rolando A. Hernandez-Hernandez; Uriel Martinez-Hernandez; Adrian Rubio-Solis (FUZZ-IEEE, 2020)

An Evolutionary General Type-2 Fuzzy Neural Network applied to Trajectory Planning in Remotely Operated Underwater Vehicles. - Adrian Rubio-Solis; Tomás Salgado-Jiménez; Luis Govinda García-Valdovinos; Luciano Nava-Balanzar; Rolando A. Hernandez-Hernandez; Uriel Martinez-Hernandez (FUZZ-IEEE, 2020)

Towards a context-based Bayesian recognition of transitions in locomotion activities. - Uriel Martinez-Hernandez; Lin Meng; Dingguo Zhang; Adrian Rubio-Solis (RO-MAN, 2020)

Generalized Multiscale RBF Networks and the DCT for Breast Cancer Detection. - Carlos Beltran Perez; Hua-Liang Wei; Adrian Rubio-Solis (Int. J. Autom. Comput., 2020)

Learning from sensory predictions for autonomous and adaptive exploration of object shape with a tactile robot. - Uriel Martinez-Hernandez; Adrian Rubio-Solis; Tony J. Prescott (Neurocomputing, 2020)

A Multilayer Interval Type-2 Fuzzy Extreme Learning Machine for the recognition of walking activities and gait events using wearable sensors. - Adrian Rubio-Solis; George Panoutsos; Carlos Beltran Perez; Uriel Martinez-Hernandez (Neurocomputing, 2020)

Predicted information gain and convolutional neural network for prediction of gait periods using a wearable sensors network. - Uriel Martinez-Hernandez; Adrian Rubio-Solis (RO-MAN, 2021)

Online Interval Type-2 Fuzzy Extreme Learning Machine applied to 3D path following for Remotely Operated Underwater Vehicles. - Adrian Rubio-Solis; Uriel Martinez-Hernandez; Luciano Nava-Balanzar; Luis Govinda García-Valdovinos; Noé Amir Rodríguez-Olivares; Juan Pablo Orozco-Muñiz; Tomás Salgado-Jiménez (Appl. Soft Comput., 2022)

Situation Awareness for Automated Surgical Check-listing in AI-Assisted Operating Room. - Tochukwu Onyeogulu; Salman Khan 004; Izzeddin Teeti; Amirul Islam; Kaizhe Jin; Adrian Rubio-Solis; Ravi Naik; George P. Mylonas; Fabio Cuzzolin (CoRR, 2022)

Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning. - Kaizhe Jin; Adrian Rubio-Solis; Ravi Naik; Tochukwu Onyeogulu; Amirul Islam; Salman Khan 004; Izzeddin Teeti; James Kinross; Daniel R. Leff; Fabio Cuzzolin; George P. Mylonas (CoRR, 2022)

An evolving feature weighting framework for radial basis function neural network models. - Muhammad Zaiyad Muda; Adrian Rubio Solis; George Panoutsos (Expert Syst. J. Knowl. Eng., 2023)

On-board Sonar Data Classification for Path Following in Underwater Vehicles using Fast Interval Type-2 Fuzzy Extreme Learning Machine. - Adrian Rubio-Solis; Luciano Nava-Balanzar; Tomás Salgado-Jiménez (CoRR, 2025)

A Hybrid Multilayer Extreme Learning Machine for Image Classification with an Application to Quadcopters. - Rolando A. Hernandez-Hernandez; Adrian Rubio-Solis (CoRR, 2025)