A logical framework to study concept-learning biases in the presence of multiple explanations

An epistemic approach to model uncertainty in data-graphs

Phone-Level Pronunciation Scoring for Spanish Speakers Learning English Using a GOP-DNN System

Mathematical and Computational Initiatives from the University of Buenos Aires to Contribute to Decision-Making in the Context of COVID-19 in Argentina

A speaker verification backend with robust performance across conditions

Emotion Recognition from Speech Using wav2vec 2.0 Embeddings

Alzheimer Disease Recognition Using Speech-Based Embeddings From Pre-Trained Models

Implementation Correctness for Replicated Data Types, Categorically

Probabilistic Analysis of Binary Sessions

A Choreography-Driven Approach to APIs: The OpenDXL Case Study

Reversible Occurrence Nets and Causal Reversible Prime Event Structures

A Corpus for Outbreak Detection of Diseases Prevalent in Latin America

A study of Hate Speech in Social Media during the COVID-19 outbreak

Face processing in free viewing visual search: An investigation using concurrent EEG and eye movement recordings

Human and computer estimations of Predictability of words in written language