Papers Gender Classification
“Gender Classification” 태그가 달린 논문 150편 · 필터 해제
Adversarial Brain Multiplex Prediction From a Single Network for High-Order Connectional Gender-Specific Brain Mapping
Brain connectivity networks, derived from magnetic resonance imaging (MRI), non-invasively quantify the relationship in function, structure, and morphology between two brain regions of interest (ROIs) and give insights i…
Gender ClassificationUnderstanding Fairness of Gender Classification Algorithms Across Gender-Race Groups
Automated gender classification has important applications in many domains, such as demographic research, law enforcement, online advertising, as well as human-computer interaction. Recent research has questioned the fai…
AttributeFairnessGender ClassificationGeneral ClassificationFaceHop: A Light-Weight Low-Resolution Face Gender Classification Method
A light-weight low-resolution face gender classification method, called FaceHop, is proposed in this research. We have witnessed rapid progress in face gender classification accuracy due to the adoption of deep learning …
ClassificationGender ClassificationGeneral ClassificationGender Classification and Bias Mitigation in Facial Images
Gender classification algorithms have important applications in many domains today such as demographic research, law enforcement, as well as human-computer interaction. Recent research showed that algorithms trained on b…
ClassificationGender ClassificationGeneral ClassificationTowards causal benchmarking of bias in face analysis algorithms
Measuring algorithmic bias is crucial both to assess algorithmic fairness, and to guide the improvement of algorithms. Current methods to measure algorithmic bias in computer vision, which are based on observational data…
AttributeBenchmarkingFairnessGender ClassificationCross-domain Author Gender Classification in Brazilian Portuguese
Author profiling models predict demographic characteristics of a target author based on the text that they have written. Systems of this kind will often follow a single-domain approach, in which the model is trained from…
Author ProfilingClassificationGender ClassificationGeneral ClassificationPANDORA Talks: Personality and Demographics on Reddit
Personality and demographics are important variables in social sciences, while in NLP they can aid in interpretability and removal of societal biases. However, datasets with both personality and demographic labels are sc…
Gender ClassificationStochastic encoding of graphs in deep learning allows for complex analysis of gender classification in resting-state and task functional brain networks from the UK Biobank
Classification of whole-brain functional connectivity MRI data with convolutional neural networks (CNNs) has shown promise, but the complexity of these models impedes understanding of which aspects of brain activity cont…
ClassificationFunctional ConnectivityGender ClassificationGeneral ClassificationSingle Unit Status in Deep Convolutional Neural Network Codes for Face Identification: Sparseness Redefined
Deep convolutional neural networks (DCNNs) trained for face identification develop representations that generalize over variable images, while retaining subject (e.g., gender) and image (e.g., viewpoint) information. Ide…
Face IdentificationGender ClassificationViewpoint EstimationDeveloping a gender classification approach in human face images using modified local binary patterns and tani-moto based nearest neighbor algorithm
Human identification is a much attention problem in computer vision. Gender classification plays an important role in human identification as preprocess step. So far, various methods have been proposed to solve this prob…
CPUGender ClassificationGeneral ClassificationSensitivityArachne: Search Based Repair of Deep Neural Networks
The rapid and widespread adoption of Deep Neural Networks (DNNs) has called for ways to test their behaviour, and many testing approaches have successfully revealed misbehaviour of DNNs. However, it is relatively unclear…
FairnessGender ClassificationProgram RepairHandwriting-Based Gender Classification Using End-to-End Deep Neural Networks
Handwriting-based gender classification is a well-researched problem that has been approached mainly by traditional machine learning techniques. In this paper, we propose a novel deep learning-based approach for this tas…
BIG-bench Machine LearningClassificationDeep LearningGender Classification+1Exposing and Correcting the Gender Bias in Image Captioning Datasets and Models
The task of image captioning implicitly involves gender identification. However, due to the gender bias in data, gender identification by an image captioning model suffers. Also, the gender-activity bias, owing to the wo…
Gender ClassificationImage CaptioningTowards Reducing Bias in Gender Classification
Societal bias towards certain communities is a big problem that affects a lot of machine learning systems. This work aims at addressing the racial bias present in many modern gender recognition systems. We learn race inv…
BIG-bench Machine LearningClassificationGender ClassificationGeneral ClassificationRepresentation Learning with Statistical Independence to Mitigate Bias
Presence of bias (in datasets or tasks) is inarguably one of the most critical challenges in machine learning applications that has alluded to pivotal debates in recent years. Such challenges range from spurious associat…
Face RecognitionGender ClassificationRepresentation LearningA Comparison Study on Nonlinear Dimension Reduction Methods with Kernel Variations: Visualization, Optimization and Classification
Because of high dimensionality, correlation among covariates, and noise contained in data, dimension reduction (DR) techniques are often employed to the application of machine learning algorithms. Principal Component Ana…
ClassificationDimensionality ReductionGender ClassificationGeneral Classification+1Bias-Resilient Neural Network
Presence of bias and confounding effects is inarguably one of the most critical challenges in machine learning applications that has alluded to pivotal debates in the recent years. Such challenges range from spurious ass…
Face RecognitionGender ClassificationMedical DiagnosisDeep User Identification Model with Multiple Biometrics
Identification using biometrics is an important yet challenging task. Abundant research has been conducted on identifying personal identity or gender using given signals. Various types of biometrics such as electrocardio…
EEGElectroencephalogram (EEG)Gender ClassificationGeneral Classification+2Multimodal Age and Gender Classification Using Ear and Profile Face Images
In this paper, we present multimodal deep neural network frameworks for age and gender classification, which take input a profile face image as well as an ear image. Our main objective is to enhance the accuracy of soft …
Age And Gender ClassificationClassificationDomain AdaptationGender Classification+2Differential Privacy Has Disparate Impact on Model Accuracy
Differential privacy (DP) is a popular mechanism for training machine learning models with bounded leakage about the presence of specific points in the training data. The cost of differential privacy is a reduction in th…
Gender ClassificationGeneral Classificationimage-classificationImage Classification+2