AI-based glioma grading for a trustworthy diagnosis: an analytical pipeline for improved reliability

Autor: Pitarch i Abaigar, Carla, Ribas Ripoll, Vicente Jorge, Vellido Alcacena, Alfredo

Glioma is the most common type of tumor in humans originating in the brain. According to the World Health Organization, gliomas can be graded on a four-stage scale, ranging from the most benign to the most malignant. The grading of these tumors from

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3484::5663dc84c19b3a47e4465e96dc4d990b
https://hdl.handle.net/2117/390777

The importance of interpretability and visualization in ML for medical applications

Autor: Vellido Alcacena, Alfredo

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Many areas of science have made a sharp transition towards data-dependent methods, enabled by simultaneous advances in data acquisition and the development of networked system technologies. This is particularly clear in the life sciences, which can b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9890c20e7096c6beeb552cf228523fcd
http://hdl.handle.net/2117/369869

Physics and machine learning: Emerging paradigms

Autor: Martín Guerrero, José, Lisboa, Paulo J G, Vellido Alcacena, Alfredo

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname

Current research in Machine Learning (ML) combines the study of variations on well-established methods with cutting-edge breakthroughs based on completely new approaches. Among the latter, emerging paradigms from Physics have taken special relevance

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7995e471f9ed97db93c1cebd0d3a30c4
http://hdl.handle.net/2117/97581

Manifold learning visualization of metabotropic glutamate receptors

Autor: Cárdenas Domínguez, Martha Ivón, Vellido Alcacena, Alfredo, Giraldo Arjonilla, Jesús

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname

G-Protein-Coupled Receptors (GPCRs) are cell membrane proteins with a key role in biological processes. GPCRs of class C, in particular, are of great interest in pharmacology. The lack of knowledge about their 3-D structures means they must be invest

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f52846bcac37b623738ba4e76a232dfb
http://hdl.handle.net/2117/82949

Making machine learning models interpretable

Autor: Vellido Alcacena, Alfredo, Martin Guerrero, Jose D., Lisboa, Paulo J.G.

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::77d9c4607843a6051a955d58db806598
https://hdl.handle.net/2117/18311