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Transformer Model for Fault Detection From Brazilian Pre-Salt Seismic Data
Evaluating Recent Legal Rhetorical Role Labeling Approaches Supported by Transformer Encoders
Dog Face Recognition Using Vision Transformer
Convolutional neural networks for the molecular detection of Covid-19
Hierarchical Graph Convolutional Networks for Image Classification
Interpreting Convolutional Neural Networks for Brain Tumor Classification: An Explainable Artificial Intelligence Approach
Enhancing Stock Market Predictions through the Integration of Convolutional and Recursive LSTM Blocks: A Cross-Market Analysis
Ensemble architectures and efficient fusion techniques for Convolutional Neural Networks: an analysis on resource optimization strategies
Dog Face Recognition using Deep Feature Embeddings
Clinical oncology textual notes analysis using machine learning and deep learning
EfficientDeepLab For Automated Trachea Segmentation On Medical Images
Multi-Label Classification of Pathologies in Chest Radiograph Images Using DenseNet
Does pre-training on brain-related tasks results in better deep-learning-based brain age biomarkers
Applying Reinforcement Learning for Multiple Functions in Swarm Intelligence
Deep Reinforcement Learning for Voltage Control in Power Systems
Performance Analysis of Generative Adversarial Networks and Diffusion Models for Face Aging
Occluded Face In-painting Using Generative Adversarial Networks - A Review Classification of facial images to assist in the diagnosis of Autism Spectrum Disorder: a study on the effect of face detection and landmark identification algorithms
Constructive Machine Learning and Hierarchical Multi-label Classification for Molecules Design
AutoMMLC: An Automated and Multi-objective Method for Multi-label Classification
Merging Traditional Feature Extraction and Deep Learning for Enhanced Hop Variety Classification: A Comparative Study Using the UFOP-HVD Dataset
Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification
A Feature-based Out-of-Distribution Detection Approach in Skin Lesion Classification
A framework for characterizing what makes an instance hard to classify
Physicochemical Properties for Promoter Classification
Critical analysis of AI indicators in terms of weighting and aggregation approaches
Estimating Code Running Time Complexity with Machine Learning The Effect of Statistical Hypothesis Testing on Machine Learning Model Selection.
Evaluating Recent Legal Rhetorical Role Labeling Approaches Supported by Transformer Encoders
Dog Face Recognition Using Vision Transformer
Convolutional neural networks for the molecular detection of Covid-19
Hierarchical Graph Convolutional Networks for Image Classification
Interpreting Convolutional Neural Networks for Brain Tumor Classification: An Explainable Artificial Intelligence Approach
Enhancing Stock Market Predictions through the Integration of Convolutional and Recursive LSTM Blocks: A Cross-Market Analysis
Ensemble architectures and efficient fusion techniques for Convolutional Neural Networks: an analysis on resource optimization strategies
Dog Face Recognition using Deep Feature Embeddings
Clinical oncology textual notes analysis using machine learning and deep learning
EfficientDeepLab For Automated Trachea Segmentation On Medical Images
Multi-Label Classification of Pathologies in Chest Radiograph Images Using DenseNet
Does pre-training on brain-related tasks results in better deep-learning-based brain age biomarkers
Applying Reinforcement Learning for Multiple Functions in Swarm Intelligence
Deep Reinforcement Learning for Voltage Control in Power Systems
Performance Analysis of Generative Adversarial Networks and Diffusion Models for Face Aging
Occluded Face In-painting Using Generative Adversarial Networks - A Review Classification of facial images to assist in the diagnosis of Autism Spectrum Disorder: a study on the effect of face detection and landmark identification algorithms
Constructive Machine Learning and Hierarchical Multi-label Classification for Molecules Design
AutoMMLC: An Automated and Multi-objective Method for Multi-label Classification
Merging Traditional Feature Extraction and Deep Learning for Enhanced Hop Variety Classification: A Comparative Study Using the UFOP-HVD Dataset
Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification
A Feature-based Out-of-Distribution Detection Approach in Skin Lesion Classification
A framework for characterizing what makes an instance hard to classify
Physicochemical Properties for Promoter Classification
Critical analysis of AI indicators in terms of weighting and aggregation approaches
Estimating Code Running Time Complexity with Machine Learning The Effect of Statistical Hypothesis Testing on Machine Learning Model Selection.