Search Results for author:
Found 6 papers, 2 papers with code
Lexico-semantic and affective modelling of Spanish poetry: A semi-supervised learning approach
In this paper, we propose a semi-supervised learning approach for inferring 21 psychological categories evoked by a corpus of 4572 sonnets, along with 10 affective and lexico-semantic multiclass ones.
Vehicle Fuel Optimization Under Real-World Driving Conditions: An Explainable Artificial Intelligence Approach
Fuel optimization of diesel and petrol vehicles within industrial fleets is critical for mitigating costs and reducing emissions.
Interpretable Machine Learning Models for Predicting and Explaining Vehicle Fuel Consumption Anomalies
Identifying anomalies in the fuel consumption of the vehicles of a fleet is a crucial aspect for optimizing consumption and reduce costs.
BIG-bench Machine Learning
Interpretable Machine Learning
+1
DISCO PAL: Diachronic Spanish Sonnet Corpus with Psychological and Affective Labels
An example of an application of text mining in poetry is the usage of features derived from their individual words in order to capture the lexical, sublexical and interlexical meaning, and infer the General Affective Meaning (GAM) of the text.
Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM
In this paper, we evaluate several rule extraction techniques over OneClass SVM models, as well as present alternative designs for some of those algorithms.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
+1
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
In the last years, Artificial Intelligence (AI) has achieved a notable momentum that may deliver the best of expectations over many application sectors across the field.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
+1
