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08/27/2023
Leveraging Linear Independence of Component Classifiers: Optimizing Size and Prediction Accuracy for Online Ensembles
Ensembles, which employ a set of classifiers to enhance classification a...
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08/21/2023
DynED: Dynamic Ensemble Diversification in Data Stream Classification
Ensemble methods are commonly used in classification due to their remark...
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10/22/2022
Stance Detection and Open Research Avenues
This tutorial aims to cover the state-of-the-art on stance detection and...
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10/11/2022
Not Good Times for Lies: Misinformation Detection on the Russia-Ukraine War, COVID-19, and Refugees
Misinformation spread in online social networks is an urgent-to-solve pr...
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01/31/2022
Implicit Concept Drift Detection for Multi-label Data Streams
Many real-world applications adopt multi-label data streams as the need ...
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10/07/2021
A Broad Ensemble Learning System for Drifting Stream Classification
Data stream classification has become a major research topic due to the ...
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09/15/2021
On-the-Fly Ensemble Pruning in Evolving Data Streams
Ensemble pruning is the process of selecting a subset of componentclassi...
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01/15/2019
A Tweet Dataset Annotated for Named Entity Recognition and Stance Detection
Annotated datasets in different domains are critical for many supervised...
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09/26/2018
A Novel Online Stacked Ensemble for Multi-Label Stream Classification
As data streams become more prevalent, the necessity for online algorith...
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06/08/2018
Multilingual Sentiment Analysis: An RNN-Based Framework for Limited Data
Sentiment analysis is a widely studied NLP task where the goal is to det...
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03/23/2018
Stance Detection on Tweets: An SVM-based Approach
Stance detection is a subproblem of sentiment analysis where the stance ...
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09/09/2017