Papers Gender Classification
“Gender Classification” 태그가 달린 논문 150편 · 필터 해제
Data quality dimensions for fair AI
Artificial Intelligence (AI) systems are not intrinsically neutral and biases trickle in any type of technological tool. In particular when dealing with people, the impact of AI algorithms' technical errors originating w…
ClassificationFairnessGender ClassificationIntroducing Construct Theory as a Standard Methodology for Inclusive AI Models
Construct theory in social psychology, developed by George Kelly are mental constructs to predict and anticipate events. Constructs are how humans interpret, curate, predict and validate data; information. AI today is bi…
Gender ClassificationBias mitigation techniques in image classification: fair machine learning in human heritage collections
A major problem with using automated classification systems is that if they are not engineered correctly and with fairness considerations, they could be detrimental to certain populations. Furthermore, while engineers ha…
FairnessGender ClassificationImage Augmentationimage-classification+2Futuristic Variations and Analysis in Fundus Images Corresponding to Biological Traits
Fundus image captures rear of an eye, and which has been studied for the diseases identification, classification, segmentation, generation, and biological traits association using handcrafted, conventional, and deep lear…
Gender ClassificationPretraining ECG Data with Adversarial Masking Improves Model Generalizability for Data-Scarce Tasks
Medical datasets often face the problem of data scarcity, as ground truth labels must be generated by medical professionals. One mitigation strategy is to pretrain deep learning models on large, unlabelled datasets with …
Gender ClassificationSelf-Supervised LearningVocal Breath Sound Based Gender Classification
Voiced speech signals such as continuous speech are known to have acoustic features such as pitch(F0), and formant frequencies(F1, F2, F3) which can be used for gender classification. However, gender classification studi…
ClassificationGender ClassificationHigh-dimensional Measurement Error Models for Lipschitz Loss
Recently emerging large-scale biomedical data pose exciting opportunities for scientific discoveries. However, the ultrahigh dimensionality and non-negligible measurement errors in the data may create difficulties in est…
Functional ConnectivityGender Classificationquantile regressionregression+1Explaining automated gender classification of human gait
State-of-the-art machine learning (ML) models are highly effective in classifying gait analysis data, however, they lack in providing explanations for their predictions. This "black-box" characteristic makes it impossibl…
ClassificationExplainable artificial intelligenceGender ClassificationDeep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups
Published studies have suggested the bias of automated face-based gender classification algorithms across gender-race groups. Specifically, unequal accuracy rates were obtained for women and dark-skinned people. To mitig…
ClassificationFacial Attribute ClassificationFairnessGender ClassificationHuman Gender Prediction Based on Deep Transfer Learning from Panoramic Radiograph Images
Panoramic Dental Radiography (PDR) image processing is one of the most extensively used manual methods for gender determination in forensic medicine. With the assistance of the PDR images, a person's biological gender de…
Binary ClassificationClassificationGender ClassificationGender Prediction+1Analyzing Gender Representation in Multilingual Models
Multilingual language models were shown to allow for nontrivial transfer across scripts and languages. In this work, we study the structure of the internal representations that enable this transfer. We focus on the repre…
Gender ClassificationNeuraGen-A Low-Resource Neural Network based approach for Gender Classification
Human voice is the source of several important information. This is in the form of features. These Features help in interpreting various features associated with the speaker and speech. The speaker dependent work researc…
Gender ClassificationSpeaker IdentificationSpeaker VerificationA Deep Learning Framework to Reconstruct Face under Mask
While deep learning-based image reconstruction methods have shown significant success in removing objects from pictures, they have yet to achieve acceptable results for attributing consistency to gender, ethnicity, expre…
Deep LearningGender ClassificationImage Reconstructionobject-detection+1Gender classification by means of online uppercase handwriting: A text-dependent allographic approach
This paper presents a gender classification schema based on online handwriting. Using samples acquired with a digital tablet that captures the dynamics of the writing, it classifies the writer as a male or a female. The …
ClassificationGender ClassificationPreliminary experiments on automatic gender recognition based on online capital letters
In this paper we present some experiments to automatically classify online handwritten text based on capital letters. Although handwritten text is not as discriminative as face or voice, we still found some chance for ge…
Gender ClassificationAge and Gender Classification with Small Scale CNN
Artificial intelligence is getting a crucial part of our lives with its incredible benefits. Machines outperform humans in recognizing objects in images, particularly in classifying people into correct age and gender gr…
Age And Gender ClassificationClassificationGender ClassificationEfficacy of Transformer Networks for Classification of Raw EEG Data
With the unprecedented success of transformer networks in natural language processing (NLP), recently, they have been successfully adapted to areas like computer vision, generative adversarial networks (GAN), and reinfor…
Age ClassificationAge EstimationClassificationEEG+6Lossy Compression of Noisy Data for Private and Data-Efficient Learning
Storage-efficient privacy-preserving learning is crucial due to increasing amounts of sensitive user data required for modern learning tasks. We propose a framework for reducing the storage cost of user data while at the…
Gender ClassificationPrivacy PreservingAligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment
While Deep Neural Networks (DNNs) are deriving the major innovations in nearly every field through their powerful automation, we are also witnessing the peril behind automation as a form of bias, such as automated racism…
Gender ClassificationUnlearnable Text for Neural Classifiers
Neural text classification models are known to001explore statistical patterns during supervised002learning. However, such patterns include spurious patterns and superficial regularity in the004training data. In this …
ClassificationGender Classificationtext-classificationText Classification+1