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Found 11 papers, 7 papers with code
FilipN@LT-EDI-ACL2022-Detecting signs of Depression from Social Media: Examining the use of summarization methods as data augmentation for text classification
One possibility for this is the use of text classification models on social media posts.
Pedagogical Principles in the Online Teaching of Text Mining: A Retrospection
The ongoing COVID-19 pandemic has brought online education to the forefront of pedagogical discussions.
The Conditioning Bias in Binary Decision Trees and Random Forests and Its Elimination
The proposed techniques successfully mitigate the bias, compared to the worst-case scenario, statistically significant improvements of up to 0. 1-0. 2 percentage points of AUC and $r^2$ scores were achieved and the improvement of 1. 5 percentage points of $r^2$ score was measured in the most sensitive case of random forest regression.
Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSI
To alleviate the COT data scarcity problem, in this work we propose a novel synthetic dataset for COT estimation, that we subsequently leverage for obtaining reliable and versatile cloud masks on real data.
mlscorecheck: Testing the consistency of reported performance scores and experiments in machine learning
Addressing the reproducibility crisis in artificial intelligence through the validation of reported experimental results is a challenging task.
Testing the Consistency of Performance Scores Reported for Binary Classification Problems
In this paper, we introduce numerical techniques to assess the consistency of reported performance scores and the assumed experimental setup.
NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset
In this paper, we propose a methodology for task 10 of SemEval23, focusing on detecting and classifying online sexism in social media posts.
A general technique for the estimation of farm animal body part weights from CT scans and its applications in a rabbit breeding program
Various applications of farm animal imaging are based on the estimation of weights of certain body parts and cuts from the CT images of animals.
A new baseline for retinal vessel segmentation: Numerical identification and correction of methodological inconsistencies affecting 100+ papers
Including more than 100 papers in the study, we performed a detailed numerical analysis of the coherence of the published performance scores.
Approximately Optimal Binning for the Piecewise Constant Approximation of the Normalized Unexplained Variance (nUV) Dissimilarity Measure
The recently introduced Matching by Tone Mapping (MTM) dissimilarity measure enables template matching under smooth non-linear distortions and also has a well-established mathematical background.
Overly Optimistic Prediction Results on Imbalanced Data: a Case Study of Flaws and Benefits when Applying Over-sampling
Information extracted from electrohysterography recordings could potentially prove to be an interesting additional source of information to estimate the risk on preterm birth.
