Papers Gender Classification
“Gender Classification” 태그가 달린 논문 150편 · 필터 해제
NERULA: A Dual-Pathway Self-Supervised Learning Framework for Electrocardiogram Signal Analysis
Electrocardiogram (ECG) signals are critical for diagnosing heart conditions and capturing detailed cardiac patterns. As wearable single-lead ECG devices become more common, efficient analysis methods are essential. We p…
Activity RecognitionContrastive LearningGender ClassificationHuman Activity Recognition+1Towards Dog Bark Decoding: Leveraging Human Speech Processing for Automated Bark Classification
Similar to humans, animals make extensive use of verbal and non-verbal forms of communication, including a large range of audio signals. In this paper, we address dog vocalizations and explore the use of self-supervised …
ClassificationGender Classificationspeech-recognitionSpeech RecognitionVoice Passing : a Non-Binary Voice Gender Prediction System for evaluating Transgender voice transition
This paper presents a software allowing to describe voices using a continuous Voice Femininity Percentage (VFP). This system is intended for transgender speakers during their voice transition and for voice therapists sup…
Gender ClassificationGender PredictionTIMIT Speaker Profiling: A Comparison of Multi-task learning and Single-task learning Approaches
This study employs deep learning techniques to explore four speaker profiling tasks on the TIMIT dataset, namely gender classification, accent classification, age estimation, and speaker identification, highlighting the …
Age EstimationClassificationDeep LearningFeature Engineering+5AraPoemBERT: A Pretrained Language Model for Arabic Poetry Analysis
Arabic poetry, with its rich linguistic features and profound cultural significance, presents a unique challenge to the Natural Language Processing (NLP) field. The complexity of its structure and context necessitates ad…
Gender ClassificationLanguage ModelingLanguage ModellingSentiment AnalysisA Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial images
The advancements in computer vision and image processing techniques have led to emergence of new application in the domain of visual surveillance, targeted advertisement, content-based searching, and human-computer inter…
Age And Gender ClassificationClassificationGender ClassificationProbing the Information Encoded in Neural-based Acoustic Models of Automatic Speech Recognition Systems
Deep learning architectures have made significant progress in terms of performance in many research areas. The automatic speech recognition (ASR) field has thus benefited from these scientific and technological advances,…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Gender ClassificationPhoneme Recognition+3Regulation Games for Trustworthy Machine Learning
Existing work on trustworthy machine learning (ML) often concentrates on individual aspects of trust, such as fairness or privacy. Additionally, many techniques overlook the distinction between those who train ML models …
FairnessGender ClassificationAfrican Gender Classification Using Clothing Identification Via Deep Learning
Human attributes identification and classification are popular aspects of computer vision which have been utilized in building relevant innovative systems in recent years. Most of these systems heavily rely on detection …
AttributeClassificationDeep LearningGender ClassificationIdentiFace : A VGG Based Multimodal Facial Biometric System
The development of facial biometric systems has contributed greatly to the development of the computer vision field. Nowadays, there's always a need to develop a multimodal system that combines multiple biometric traits …
Decision MakingEmotion RecognitionFace RecognitionGender ClassificationEnhancing Facial Classification and Recognition using 3D Facial Models and Deep Learning
Accurate analysis and classification of facial attributes are essential in various applications, from human-computer interaction to security systems. In this work, a novel approach to enhance facial classification and re…
ClassificationGender ClassificationLarge-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers
Graph Transformers have recently been successful in various graph representation learning tasks, providing a number of advantages over message-passing Graph Neural Networks. Utilizing Graph Transformers for learning the …
Functional ConnectivityGender ClassificationGraph Representation LearningRepresentation LearningDeep learning applied to EEG data with different montages using spatial attention
The ability of Deep Learning to process and extract relevant information in complex brain dynamics from raw EEG data has been demonstrated in various recent works. Deep learning models, however, have also been shown to p…
Deep LearningEEGGender ClassificationTransparent Anomaly Detection via Concept-based Explanations
Advancements in deep learning techniques have given a boost to the performance of anomaly detection. However, real-world and safety-critical applications demand a level of transparency and reasoning beyond accuracy. The …
Anomaly DetectionClassificationGender Classificationimage-classification+1Self-Supervised Representation Learning for Online Handwriting Text Classification
Self-supervised learning offers an efficient way of extracting rich representations from various types of unlabeled data while avoiding the cost of annotating large-scale datasets. This is achievable by designing a prete…
Gender ClassificationRepresentation LearningSelf-Supervised Learningtext-classification+1Respiratory Disease Classification and Biometric Analysis Using Biosignals from Digital Stethoscopes
Respiratory diseases remain a leading cause of mortality worldwide, highlighting the need for faster and more accurate diagnostic tools. This work presents a novel approach leveraging digital stethoscope technology for a…
Binary ClassificationClassificationDiagnosticGender Classification+1Challenges in Annotating Datasets to Quantify Bias in Under-represented Society
Recent advances in artificial intelligence, including the development of highly sophisticated large language models (LLM), have proven beneficial in many real-world applications. However, evidence of inherent bias encode…
Gender ClassificationBeyond Skin Tone: A Multidimensional Measure of Apparent Skin Color
This paper strives to measure apparent skin color in computer vision, beyond a unidimensional scale on skin tone. In their seminal paper Gender Shades, Buolamwini and Gebru have shown how gender classification systems ca…
FairnessGender ClassificationDeep Ear Biometrics for Gender Classification
Human gender classification based on biometric features is a major concern for computer vision due to its vast variety of applications. The human ear is popular among researchers as a soft biometric trait, because it is …
ClassificationGender ClassificationPeriocular biometrics: databases, algorithms and directions
Periocular biometrics has been established as an independent modality due to concerns on the performance of iris or face systems in uncontrolled conditions. Periocular refers to the facial region in the eye vicinity, inc…
Gender Classification