76 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Institute of Mathematical SciencesIN2 papers
- Aalborg UniversityDK1 paper
- Biologie et Génétique des Interactions Plante-ParasiteFR1 paper
- Carnegie Mellon UniversityUS1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Computer Algorithms for MedicineAT1 paper
- CUNEF Universidad1 paper
- European University of Applied SciencesDE1 paper
- Foundation for Human PotentialUS1 paper
- Max Planck Institute for InformaticsDE1 paper
- National University of SingaporeSG1 paper
- Northeastern UniversityUS1 paper
13 papers
Emcar: Embodied Controller for Animating Robots
Carlos Gomez Cubero, Elizabeth Jochum
This chapter describes EMCAR, a novel software tool for programming robot motion that leverages the unique affordances of artistic practices such as puppetry and drawing to conceiv…
The Spheres Dataset: Multitrack Orchestral Recordings for Music Source Separation and Information Retrieval
Jaime Garcia-Martinez, David Diaz-Guerra, John Anderson +5
This paper introduces The Spheres dataset, multitrack orchestral recordings designed to advance machine learning research in music source separation and related MIR tasks within th…
Multimodal Sentiment Analysis based on Video and Audio Inputs
Antonio Fernandez, Suzan Awinat
Despite the abundance of current researches working on the sentiment analysis from videos and audios, finding the best model that gives the highest accuracy rate is still considere…
Doubly Adaptive Importance Sampling
Willem van den Boom, Andrea Cremaschi, Alexandre H. Thiery
We propose an adaptive importance sampling scheme for Gaussian approximations of intractable posteriors. Optimization-based approximations like variational inference can be too ina…
The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systems
Andreas Liesenfeld, Alianda Lopez, Mark Dingemanse
Speech recognition systems are a key intermediary in voice-driven human-computer interaction. Although speech recognition works well for pristine monologic audio, real-life use cas…
LyricSIM: A novel Dataset and Benchmark for Similarity Detection in Spanish Song LyricS
Alejandro Benito-Santos, Adrián Ghajari, Pedro Hernández +3
In this paper, we present a new dataset and benchmark tailored to the task of semantic similarity in song lyrics. Our dataset, originally consisting of 2775 pairs of Spanish songs,…
A Computational Approach to Polynomial Conservation Laws
Aurélien Desoeuvres, Alexandru Iosif, Christoph Lüders +4
For polynomial ODE models, we introduce and discuss the concepts of exact and approximate conservation laws, which are the first integrals of the full and truncated sets of ODEs. F…
Discrete Mechanics and Optimal Control for Passive Walking with Foot Slippage
Alexandre Anahory Simoes, Asier López-Gordón, Anthony Bloch +1
Forced variational integrators are given by the discretization of the Lagrange-d'Alembert principle for systems subject to external forces, and have proved useful for numerical sim…
Context-Specific Causal Discovery for Categorical Data Using Staged Trees
Manuele Leonelli, Gherardo Varando
Causal discovery algorithms aim at untangling complex causal relationships from data. Here, we study causal discovery and inference methods based on staged tree models, which can r…
Tracking change-points in multivariate extremes
Miguel de Carvalho, Manuele Leonelli, Alex Rossi
In this paper we devise a statistical method for tracking and modeling change-points on the dependence structure of multivariate extremes. The methods are motivated by and illustra…
NILM as a regression versus classification problem: the importance of thresholding
Daniel Precioso, David Gómez-Ullate
Non-Intrusive Load Monitoring (NILM) aims to predict the status or consumption of domestic appliances in a household only by knowing the aggregated power load. NILM can be formulat…
Opponent Aware Reinforcement Learning
Victor Gallego, Roi Naveiro, David Rios Insua +1
In certain reinforcement learning (RL) scenarios there are adversaries trying to interfere with the underlying reward process for their own benefit. We introduce Threatened Markov…
Predicting risk of dyslexia with an online gamified test
Luz Rello, Ricardo Baeza-Yates, Abdullah Ali +2
Dyslexia is a specific learning disorder related to school failure. Detection is both crucial and challenging, especially in languages with transparent orthographies, such as Spani…