activity
20212024
most citedA Survey on Concept Drift in Process Mining

117 citations · 145 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL20243 cited

LongKey: Keyphrase Extraction for Long Documents

Jeovane Honorio Alves, Radu State, Cinthia Obladen de Almendra Freitas +1

In an era of information overload, manually annotating the vast and growing corpus of documents and scholarly papers is increasingly impractical. Automated keyphrase extraction add…

cs.CV2024

Alleviating Catastrophic Forgetting in Facial Expression Recognition with Emotion-Centered Models

Israel A. Laurensi, Alceu de Souza Britto, Jean Paul Barddal +1

Facial expression recognition is a pivotal component in machine learning, facilitating various applications. However, convolutional neural networks (CNNs) are often plagued by cata…

cs.LG2024

Dynamic Modality and View Selection for Multimodal Emotion Recognition with Missing Modalities

Luciana Trinkaus Menon, Luiz Carlos Ribeiro Neduziak, Jean Paul Barddal +2

The study of human emotions, traditionally a cornerstone in fields like psychology and neuroscience, has been profoundly impacted by the advent of artificial intelligence (AI). Mul…

cs.LG20241 cited

Methods for Generating Drift in Text Streams

Cristiano Mesquita Garcia, Alessandro Lameiras Koerich, Alceu de Souza Britto +1

Systems and individuals produce data continuously. On the Internet, people share their knowledge, sentiments, and opinions, provide reviews about services and products, and so on.…

stat.ML202315 cited

Random Forest Kernel for High-Dimension Low Sample Size Classification

Lucca Portes Cavalheiro, Simon Bernard, Jean Paul Barddal +1

High dimension, low sample size (HDLSS) problems are numerous among real-world applications of machine learning. From medical images to text processing, traditional machine learnin…

cs.CV20231 cited

Deep Single Models vs. Ensembles: Insights for a Fast Deployment of Parking Monitoring Systems

Andre Gustavo Hochuli, Jean Paul Barddal, Gillian Cezar Palhano +2

Searching for available parking spots in high-density urban centers is a stressful task for drivers that can be mitigated by systems that know in advance the nearest parking space…