activity
20122026
most citedAlgebraic Machine Learning

4 citations · 8 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Beyond ECE: Calibrated Size Ratio, Risk Assessment, and Confidence-Weighted Metrics

Fernando Martin-Maroto, Nabil Abderrahaman, Gonzalo G. de Polavieja

Confidence calibration has been dominated by the Expected Calibration Error (ECE), a linear metric that counts calibration offset equally regardless of the confidence level at whic…

cs.LG2025

Algebraic Machine Learning: Learning as computing an algebraic decomposition of a task

Fernando Martin-Maroto, Nabil Abderrahaman, David Mendez +1

Statistics and Optimization are foundational to modern Machine Learning. Here, we propose an alternative foundation based on Abstract Algebra, with mathematics that facilitates the…

cs.DM2022★ 1 cited

Semantic Embeddings in Semilattices

Fernando Martin-Maroto, Gonzalo G. de Polavieja

To represent anything from mathematical concepts to real-world objects, we have to resort to an encoding. Encodings, such as written language, usually assume a decoder that underst…

math.RA2021★ 1 cited

Finite Atomized Semilattices

Fernando Martin-Maroto, Gonzalo G. de Polavieja

We show that every finite semilattice can be represented as an atomized semilattice, an algebraic structure with additional elements (atoms) that extend the semilattice's partial o…

cs.CV2020★ 2 cited

Supervised dimensionality reduction by a Linear Discriminant Analysis on pre-trained CNN features

Francisco J. H. Heras, Gonzalo G. de Polavieja

We explore the application of linear discriminant analysis (LDA) to the features obtained in different layers of pretrained deep convolutional neural networks (CNNs). The advantage…

cs.LG2018★ 4 cited

Algebraic Machine Learning

Fernando Martin-Maroto, Gonzalo G. de Polavieja

Machine learning algorithms use error function minimization to fit a large set of parameters in a preexisting model. However, error minimization eventually leads to a memorization…

physics.soc-ph2015

Bayesian Social Influence in the Online Realm

Przemyslaw A. Grabowicz, Francisco Romero-Ferrero, Theo Lins +3

Our opinions, which things we like or dislike, depend on the opinions of those around us. Nowadays, we are influenced by the opinions of online strangers, expressed in comments and…

physics.soc-ph2012

A Model of Decision-Making in Groups of Humans

Gabriel Madirolas, Alfonso Perez-Escudero, Gonzalo G. de Polavieja

Decisions by humans depend on their estimations given some uncertain sensory data. These decisions can also be influenced by the behavior of others. Here we present a mathematical…