Documentos de Alisson Constantine | REDI

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Palabras Claves: "Deep learning"

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Etcm 2024 8th Ecuador Technical Chapters Meeting(2)

IEEE Andescon Andescon 2024 Proceedings(1)

Lecture Notes in Networks and Systems(1)

Área temáticas

Métodos informáticos especiales(4)

Enfermedades(3)

Fisiología humana(1)

Física aplicada(1)

Área de conocimiento

Aprendizaje profundo(3)

Ciencias de la computación(2)

Imágenes médicas(1)

Sensores remotos(1)

Objetivos de Desarrollo Sostenible

ODS 3: Salud y bienestar(3)

ODS 17: Alianzas para lograr los objetivos(2)

ODS 12: Producción y consumo responsables(1)

ODS 14: Vida submarina(1)

ODS 15: Vida de ecosistemas terrestres(1)

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Palabras Claves

vision Transformers(2)

Edge detection(1)

Impulse control disorder(1)

Leveraging Deep Learning Techniques for Marine and Coastal Wildlife Using Instance Segmentation: A Study on Galápagos Sea Lions

Abstract: Instance segmentation is a powerful deep learning technique that goes beyond traditional object dete

Palabras claves:

Deep learning, Detectron2, Drones, Instance segmentation, Vision Computer, YOLO

Alexander Toala-Paz, Alisson Constantine, Diego Páez-Rosas, Enrique Pelaez, Suárez-Moncada J.M.

A Sharper Look: Edge Detection and Light-Weight 3D Vision Transformers for Parkinsonian Disorder Classification on MRI Imaging

Abstract: Parkinson's disease (PD) is a progressive neurological disorder that affects motor function and is o

Palabras claves:

Deep learning, Edge detection, parkinsonian disorders, Pattern recognition, vision Transformers

Alisson Constantine, Ana Briones Chonillo, Carlos Jimenez Farfan, Edwin Valarezo Anazco, Enrique Pelaez, Francis Roderich Loayza Paredes

Anatomical Footprint of the Impulse Control Disorders in Parkinson’s Disease: A Convolutional Vision Transformers Approach

Abstract: Impulse Control Disorder in Parkinson’s patients are a psychiatric condition characterized by pathol

Palabras claves:

Deep learning, Impulse control disorder, PÁRKINSON, vision Transformers

Alisson Constantine, Carlos Jimenez Farfan, Edwin Valarezo Anazco, Enrique Pelaez, Francis Roderich Loayza Paredes, Gianpaolo Maggi, Obeso I.

Convolutional Neural Network-based Classification of Parkinsonian Voice Disorders: A Spectrogram Approach

Abstract: Parkinson's disease produces a progressive degradation of motor (tremor, rigidity and slowness of mo

Palabras claves:

convolutional neural networks, Deep learning, Parkinson Disease, Residual Neural Networks, Voice Analysis

Alisson Constantine, Carlos Jimenez Farfan, Carmen Gasca-Salas, Clara Trompeta, Edwin Valarezo Anazco, Enrique Pelaez, Francis Roderich Loayza Paredes, Josue Tomala, Juan Solá, Máñez-Miró J.U., Michael Arce Sierra, Raúl Martinez-Fernández