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Gender Classification

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Showing 126–150 of 150 papers

TitleStatusHype
Age and Gender Prediction using Deep CNNs and Transfer Learning—0
Age Group and Gender Estimation in the Wild with Deep RoR Architecture—0
A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial images—0
Analyzing Gender Representation in Multilingual Models—0
AraPoemBERT: A Pretrained Language Model for Arabic Poetry Analysis—0
ArcFace Knows the Gender, Too!—0
A Sociotechnical Lens for Evaluating Computer Vision Models: A Case Study on Detecting and Reasoning about Gender and Emotion—0
Respiratory Disease Classification and Biometric Analysis Using Biosignals from Digital Stethoscopes—0
Bias mitigation techniques in image classification: fair machine learning in human heritage collections—0
Bias-Resilient Neural Network—0
Can you tell where in India I am from? Comparing humans and computers on fine-grained race face classification—0
ChaLearn Looking at People and Faces of the World: Face Analysis Workshop and Challenge 2016—0
Challenges in Annotating Datasets to Quantify Bias in Under-represented Society—0
Cinderella's shoe won't fit Soundarya: An audit of facial processing tools on Indian faces—0
Classifying Emotional Utterances by Employing Multi-modal Speech Emotion Recognition—0
Class Representative Autoencoder for Low Resolution Multi-Spectral Gender Classification—0
Cross-domain Author Gender Classification in Brazilian Portuguese—0
Cross-media User Profiling with Joint Textual and Social User Embedding—0
Dataset Bias Mitigation Through Analysis of CNN Training Scores—0
Deep Ear Biometrics for Gender Classification—0
Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups—0
Deep User Identification Model with Multiple Biometrics—0
Demographic Attributes Prediction from Speech Using WavLM Embeddings—0
Deriving de/het gender classification for Dutch nouns for rule-based MT generation tasks—0
Descriptors and regions of interest fusion for gender classification in the wild. Comparison and combination with Convolutional Neural Networks—0
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