183 citations · 358 across the 9 of their papers we have counts for
10 papers
OpenWhistle: A Large-Scale Longitudinal Dataset and Benchmark of Bottlenose Dolphin Vocalizations
Faadil Mustun, Chiara Semenzin, Roberto Dessi +7
Recent advances in bioacoustics have been driven by large-scale corpora and standardized benchmarks, yet existing resources are overwhelmingly bird-centric and shallow per species,…
Dolph2Vec: Self-Supervised Representations of Dolphin Vocalizations
Chiara Semenzin, Faadil Mustun, Roberto Dessi +5
Self-supervised learning (SSL) has opened new opportunities in bioacoustics by enabling scalable modeling of animal vocalizations without the need for expensive manual annotation.…
Algebraic Machine Learning for Small-to-Medium Datasets Is Competitive against Strong Standard Baselines
David Mendez, Fernando Martin-Maroto, Gonzalo G. de Polavieja
Symbolic methods are generally not considered competitive with strong modern learners on realistic supervised tasks. We evaluate Algebraic Machine Learning (AML), a framework that…
Infinite Atomized Semilattices
Fernando Martin-Maroto, Antonio Ricciardo, David Mendez +1
We extend the theory of atomized semilattices to the infinite setting. We show that it is well-defined and that every semilattice is atomizable. We also study atom redundancy, focu…
Wisdom of the Confident: Using Social Interactions to Eliminate the Bias in Wisdom of the Crowds
Gonzalo De Polavieja, Gabriel Madirolas
Human groups can perform extraordinary accurate estimations compared to individuals by simply using the mean, median or geometric mean of the individual estimations [Galton 1907, S…
The Informative Herd: why humans and other animals imitate more when conditions are adverse
Alfonso Pérez-Escudero, Gonzalo G. de Polavieja
Decisions in a group often result in imitation and aggregation, which are enhanced in panic, dangerous, stressful or negative situations. Current explanations of this enhancement a…