Search Results - "Masip, David"

Computer Methods for Automatic Locomotion and Gesture Tracking in Mice and Small Animals for Neuroscience Applications: A Survey by Abbas, Waseem, Masip Rodo, David

“…Neuroscience has traditionally relied on manually observing laboratory animals in controlled environments. Researchers usually record animals behaving freely…”
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Thermochromic Materials as Passive Roof Technology: Their Impact on Building Energy Performance by Crespo Sánchez, Eva, Masip Vilà, David

“…Over the last few years, new materials have been developed which a priori, appear to improve passive energy efficiency in buildings. This article focuses on…”
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Computational Methods for Neuron Segmentation in Two-Photon Calcium Imaging Data: A Survey by Abbas, Waseem, Masip, David

“…Calcium imaging has rapidly become a methodology of choice for real-time in vivo neuron analysis. Its application to large sets of data requires automated…”
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Learnheuristics: hybridizing metaheuristics with machine learning for optimization with dynamic inputs by Calvet, Laura, Armas, Jésica de, Masip, David, Juan, Angel A.

“…This paper reviews the existing literature on the combination of metaheuristics with machine learning methods and then introduces the concept of…”
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Implementation of a multifunctional Plug-and-Play façade using a set-based design approach by Masip, David, Marrone, Grazia, Rafols Ribas, Irene

“…An immediate paradigm shift is needed to transform the deep renovation market for improved building performance and expanded energy efficiency horizons. The…”
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A Deep Convolutional Neural Network for Classification of Aedes Albopictus Mosquitoes by Adhane, Gereziher, Dehshibi, Mohammad Mahdi, Masip, David

“…Monitoring the spread of disease-carrying mosquitoes is a first and necessary step to control severe diseases such as dengue, chikungunya, Zika or yellow…”
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An Overview of Deep-Learning-Based Methods for Cardiovascular Risk Assessment with Retinal Images by Barriada, Rubén G, Masip, David

“…Cardiovascular diseases (CVDs) are one of the most prevalent causes of premature death. Early detection is crucial to prevent and address CVDs in a timely…”
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Limbs Detection and Tracking of Head-Fixed Mice for Behavioral Phenotyping Using Motion Tubes and Deep Learning by Abbas, Waseem, Masip, David, Giovannucci, Andrea

“…The broad accessibility of affordable and reliable recording equipment and its relative ease of use has enabled neuroscientists to record large amounts of…”
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Deep Learning of Retinal Imaging: A Useful Tool for Coronary Artery Calcium Score Prediction in Diabetic Patients by Barriada, Rubén G., Simó-Servat, Olga, Planas, Alejandra, Hernández, Cristina, Simó, Rafael, Masip, David

“…Cardiovascular diseases (CVD) are one of the leading causes of death in the developed countries. Previous studies suggest that retina blood vessels provide…”
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Automatic prediction of facial trait judgments: appearance vs. structural models by Rojas, Mario, Masip, David, Todorov, Alexander, Vitria, Jordi

“…Evaluating other individuals with respect to personality characteristics plays a crucial role in human relations and it is the focus of attention for research…”
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Automated prediction of preferences using facial expressions by Masip, David, North, Michael S, Todorov, Alexander, Osherson, Daniel N

“…We introduce a computer vision problem from social cognition, namely, the automated detection of attitudes from a person's spontaneous facial expressions. To…”
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Combining statistical learning with metaheuristics for the Multi-Depot Vehicle Routing Problem with market segmentation by Calvet, Laura, Ferrer, Albert, Gomes, M. Isabel, Juan, Angel A., Masip, David

“…•We address the Multi-Depot Vehicle Routing Problem with heterogeneous depots.•Our approach takes into consideration customers’ preferences and distribution…”
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On the use of Monte Carlo simulation, cache and splitting techniques to improve the Clarke and Wright savings heuristics by Juan, A A, Faulin, J, Jorba, J, Riera, D, Masip, D, Barrios, B

“…This paper presents the SR-GCWS-CS probabilistic algorithm that combines Monte Carlo simulation with splitting techniques and the Clarke and Wright savings…”
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Multitask, Multilabel, and Multidomain Learning With Convolutional Networks for Emotion Recognition by Pons, Gerard, Masip, David

“…Automated emotion recognition in the wild from facial images remains a challenging problem. Although recent advances in deep learning have assumed a…”
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Supervised Committee of Convolutional Neural Networks in Automated Facial Expression Analysis by Pons, Gerard, Masip, David

“…Automated emotion recognition from facial images is an unsolved problem in computer vision. Although recent methods achieve close to human accuracy in…”
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Preferred spatial frequencies for human face processing are associated with optimal class discrimination in the machine by Keil, Matthias S, Lapedriza, Agata, Masip, David, Vitria, Jordi

“…Psychophysical studies suggest that humans preferentially use a narrow band of low spatial frequencies for face recognition. Here we asked whether artificial…”
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Glaucoma diagnosis in the era of deep learning: A survey by Ashtari-Majlan, Mona, Dehshibi, Mohammad Mahdi, Masip, David

“…Glaucoma, a leading cause of irreversible blindness worldwide, poses significant diagnostic challenges due to its reliance on subjective evaluation. Recent…”
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Shared Feature Extraction for Nearest Neighbor Face Recognition by Masip, D., Vitria, J.

“…In this paper, we propose a new supervised linear feature extraction technique for multiclass classification problems that is specially suited to the nearest…”
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ADVISE: ADaptive feature relevance and VISual Explanations for convolutional neural networks by Dehshibi, Mohammad Mahdi, Ashtari-Majlan, Mona, Adhane, Gereziher, Masip, David

“…To equip convolutional neural networks (CNNs) with explainability, it is essential to interpret how opaque models make specific decisions, understand what…”
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On the Use of Uncertainty in Classifying Aedes Albopictus Mosquitoes by Adhane, Gereziher, Dehshibi, Mohammad Mahdi, Masip, David

“…The re-emergence of mosquito-borne diseases (MBDs), which kill hundreds of thousands of people each year, has been attributed to increased human population,…”
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