Taxonomic hierarchical loss function for enhanced crop and weed phenotyping in multi-task semantic segmentation
Authors: Artzai Picon,Daniel Mugica,Itziar Eguskiza,Arantza Bereciartua-Perez,Javier Romero,Carlos Javier Jimenez,Christian Klukas,Laura Gomez-Zamanillo,Till Eggers,Ramon Navarra-Mestre
Herbicide research and development necessitate specific trials to monitor the effects of various herbicide formulations, quantities, and protocols on different plant species and growth stages. These trials are necessary to ensure the safety and efficacy of the developed products. Currently, these…
Elsevier BV
Preserving the Fairness Guarantees of Classifiers in Changing Environments: A Survey
Authors: Ainhize Barrainkua,Paula Gordaliza,Jose A. Lozano,Novi Quadrianto
The impact of automated decision-making systems on human lives is growing, emphasizing the need for these systems to be not only accurate but also fair. The field of algorithmic fairness has expanded significantly in the past decade, with most approaches assuming that training and testing data are…
Association for Computing Machinery (ACM)
WoodAD: A New Dataset and a Comparison of Deep Learning Approaches for Wood Anomaly Detection
Authors: Omar del‐Tejo‐Catala,Javier Perez,Nicolas Garcia,Juan‐Carlos Perez‐Cortes,Javier Del Ser
ABSTRACTAnomaly detection is a crucial task in computer vision, with applications ranging from quality control to security monitoring, among many others. Recent technological advancements have enabled near‐perfect solutions on benchmark datasets like MVTec, raising the need for novel datasets that…
Wiley
Using offline data to speed up Reinforcement Learning in procedurally generated environments
Authors: Alain Andres,Lukas Schäfer,Stefano V. Albrecht,Javier Del Ser
One of the key challenges of Reinforcement Learning (RL) is the ability of agents to generalise their learned policy to unseen settings. Moreover, training RL agents requires large numbers of interactions with the environment. Motivated by the recent success of Offline RL and Imitation Learning (IL…
Elsevier BV
FRACTAL FEATURE MODELING: MULTI-DIMENSIONAL ATTENTION AND SPATIAL ADAPTIVE RELATIONSHIP LEARNING FOR PERSON RE-IDENTIFICATION
Authors: MINGFU XIONG,HANMEI CHEN,YELIZ KARACA,ABDUL KHADER JILANI SAUDAGAR,IK HYUN LEE,JAVIER DEL SER,KHAN MUHAMMAD
Person Re-identification (person Re-ID), as an intelligent video surveillance technology capable of retrieving the same person from different cameras, may bring about some challenges arising from the changes in the person’s poses, different camera views as well as occlusion. Recently, person Re-ID…
World Scientific Pub Co Pte Ltd
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects
Authors: Daniel Molina,Javier Poyatos,Javier Del Ser,Salvador García,Hisao Ishibuchi,Isaac Triguero,Bing Xue,Xin Yao,Francisco Herrera
In Artificial Intelligence, there is an increasing demand for adaptive models capable of dealing with a diverse spectrum of learning tasks, surpassing the limitations of systems devised to cope with a single task. The recent emergence of General-Purpose Artificial Intelligence Systems (GPAIS) poses…
Institute of Electrical and Electronics Engineers (IEEE)
Learning the Graph Structure of Regular Vine-Copulas from Dependence Lists
Authors: Diana Carrera,Roberto Santana,Jose Antonio Lozano
Regular vine copulas (R-vines) provide a comprehensive framework for modeling high-dimensional dependencies using a hierarchy of trees and conditional pair-copulas. While the graphical structure of R-vines is traditionally derived from data, this work introduces a novel approach by utilizing a (…
Association for Computing Machinery (ACM)
Revisiting excitation force estimation in WECs: On the (mis)use of structure-based estimation approaches
Authors: Demián García-Violini,Nicolás Faedo,Yerai Peña-Sanchez,Vincenzo Nava,John V. Ringwood
Wave excitation force (torque) estimators, vital in wave energy systems, generally combine the nominal representation of a wave energy converter (WEC) with an excitation force (perturbation) model. Thus, this model-based estimation approach, grounded in the internal model principle, often employs…
Elsevier BV
Adversarial Attacks in Explainable Machine Learning: A Survey of Threats Against Models and Humans
Authors: Jon Vadillo,Roberto Santana,Jose A. Lozano
ABSTRACTReliable deployment of machine learning models such as neural networks continues to be challenging due to several limitations. Some of the main shortcomings are the lack of interpretability and the lack of robustness against adversarial examples or out‐of‐distribution inputs. In this paper…
Wiley
Auto-gainbegiratutako ikaskuntzaren ahalmena azaleratzen
Authors: Aitor Sánchez Ferrera,Borja Calvo Molinos,Usue Mori Carrascal,Jose Antonio Lozano Alonso
Ikasketa automatikoak nabarmen egin du aurrera azken urteotan, eta horren fruitu da garatutako algoritmo sorta izugarria, ataza ezberdin ugari burutzeko ahalmena ematen digutenak. Literaturaren arabera, algoritmo gehienak ikaskuntza gainbegiratuan oinarritzen dira. Hala ere, hainbat atazetan…
UPV/EHU Press
Exploiting Axisymmetry to Optimize CFD Simulations—Heave Motion and Wave Radiation of a Spherical Buoy
Authors: Josh Davidson,Vincenzo Nava,Jacob Andersen,Morten Bech Kramer
Simulating the free decay motion and wave radiation from a heaving semi-submerged sphere poses significant computational challenges due to its three-dimensional complexity. By leveraging axisymmetry, we reduce the problem to a two-dimensional simulation, significantly decreasing computational…
MDPI AG
Recovery of arterial blood pressure after chest compression pauses in patients with out-of-hospital cardiac arrest
Authors: Rose T. Yin,Per Olav Berve,Tore Skaalhegg,Andoni Elola,Tyson G. Taylor,Robert G. Walker,Elisabete Aramendi,Fred W. Chapman,Lars Wik
Chest compressions generating good perfusion during cardiopulmonary resuscitation (CPR) in cardiac arrest patients are critical for positive patient outcomes. Conventional wisdom advises minimizing compression pauses because several compressions are required to recover arterial blood pressure (ABP…
Elsevier BV
