output
20032026
most citedA Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems

407 citations

Showing 2023Show all

7 papers · 1 filter

q-bio.NC202341 cited

EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia

Francisco Jesus Martinez-Murcia, Andrés Ortiz, Juan Manuel Górriz +4

The Temporal Sampling Framework (TSF) theorizes that the characteristic phonological difficulties of dyslexia are caused by an atypical oscillatory sampling at one or more temporal…

cs.CV2023104 cited

Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?

Francisco J. Martinez-Murcia, Juan M. Górriz, Javier Ramírez +1

Spatial and intensity normalization are nowadays a prerequisite for neuroimaging analysis. Influenced by voxel-wise and other univariate comparisons, where these corrections are ke…

cs.RO2023

Robot-Assisted Navigation for Visually Impaired through Adaptive Impedance and Path Planning

Pietro Balatti, Idil Ozdamar, Doganay Sirintuna +4

This paper presents a framework to navigate visually impaired people through unfamiliar environments by means of a mobile manipulator. The Human-Robot system consists of three key…

cs.RO202357 cited

Bayesian and Neural Inference on LSTM-based Object Recognition from Tactile and Kinesthetic Information

Francisco Pastor, Jorge García-González, Juan M. Gandarias +4

Recent advances in the field of intelligent robotic manipulation pursue providing robotic hands with touch sensitivity. Haptic perception encompasses the sensing modalities encount…

cs.CV2023141 cited

CNN-based Methods for Object Recognition with High-Resolution Tactile Sensors

Juan M. Gandarias, Alfonso J. García-Cerezo, Jesús M. Gómez-de-Gabriel

Novel high-resolution pressure-sensor arrays allow treating pressure readings as standard images. Computer vision algorithms and methods such as Convolutional Neural Networks (CNN)…

math.NA20233 cited

CAT-MOOD methods for conservation laws in one space dimension

R. Loubere, E. Macca, C. Pares +1

In this paper we blend high-order Compact Approximate Taylor (CAT) numerical methods with the a posteriori Multi-dimensional Optimal Order Detection (MOOD) paradigm to solve hyperb…