Channels :: FRELIP Discovery

Author: Lacerda, Miguel

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Collaborative Genre Tagging

Similar Items: Collaborative Genre Tagging

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Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction
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Tagged polymers as recognition agents
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Sedimentations : reading genre, reading across genre
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Online change detection for a shift in mean in the presence of outliers
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Unleashing the Power of UWB for Indoor Mobility Analytics: A Museum Case Study
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Integrating multi-level normalization and graph convolutions for robust EEG-based deception detection
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Generative explainers in Spanish healthcare prognosis: a novel assessment framework
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From formal to informal: how register shift confuses LLMs in Spanish dialect recognition
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A novel framework for evaluating the influence of participatory contributions and demographic factors on the positional accuracy of OpenStreetMap data
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A simple, domain-independent autoregressive framework for time series classification
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RT: resilient transformation for anomaly detection in heteroscedastic time series
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Cross-country modeling of ART-predictive AIDS mortality using gradient-boosted tree ensembles
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Digital Twin-based framework for real-time fault diagnosis and prognosis of industrial robots using unsupervised learning and real experimental data
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Beyond prediction: a multi-level Kahneman–Tversky optimisation framework for resource-aware student retention in higher education
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Adaptive Hamiltonian-based LMS for non-stationary systems: a receding horizon optimal control approach
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Bias and fairness in vision–language models and large language models: a survey on South Asian festival representations
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Keyword search on incomplete graphs based on an improved aggregation mechanism and graph autoencoder
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CHGRec: causal heterogeneous graph-enhanced medication recommendation with personalized refinement
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From return on investment to return on health: the CARE framework for AI governance, accountability, and equitable transformation in healthcare systems
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Dynamic monitoring of farmland non-grain conversion based on transformer and multi-source spatiotemporal features
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Hybrid diffusion-xLSTM framework for time-series prediction
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Spark-based DBSCAN++ for efficient density-based clustering
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Explainable yoga pose correction: a data-centric framework using SHAP-driven pose-specific feature analytics
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KGCMC: a hybrid approach combining graph convolutional matrix completion and knowledge-aware attention for recommender systems