| Model Compression in Object Detection | 0 | 0.34 | 2021 |
| Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest Radiography. | 0 | 0.34 | 2021 |
| An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms | 0 | 0.34 | 2021 |
| A Novel Approach to Differentiate COVID-19 Pneumonia in Chest X-ray | 0 | 0.34 | 2020 |
| An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers. | 0 | 0.34 | 2020 |
| Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification | 0 | 0.34 | 2020 |
| Adaptive Cross-Modal Embeddings for Image-Text Alignment. | 0 | 0.34 | 2020 |
| Semi-supervised Classification of Chest Radiographs. | 0 | 0.34 | 2020 |
| Fast and Efficient Text Classification with Class-based Embeddings | 0 | 0.34 | 2019 |
| Classifying Norm Conflicts using Learned Semantic Representations. | 0 | 0.34 | 2019 |
| Classification of Contractual Conflicts via Learning of Semantic Representations | 0 | 0.34 | 2019 |
| Inducing Hierarchical Multi-label Classification rules with Genetic Algorithms. | 0 | 0.34 | 2019 |
| CrowdEst: a method for estimating (and not simulating) crowd evacuation parameters in generic environments. | 1 | 0.38 | 2019 |
| Self-Attention for Synopsis-Based Multi-Label Movie Genre Classification. | 0 | 0.34 | 2018 |
| Adult content detection in videos with convolutional and recurrent neural networks. | 5 | 0.43 | 2018 |
| Improving Action Recognition using Temporal Regions. | 0 | 0.34 | 2018 |
| Order embeddings and character-level convolutions for multimodal alignment. | 5 | 0.49 | 2018 |
| A multi-task neural network for multilingual sentiment classification and language detection on Twitter. | 2 | 0.41 | 2018 |
| Unsupervised domain adaptation for medical imaging segmentation with self-ensembling. | 13 | 0.69 | 2018 |
| Using Scene Context to Improve Action Recognition. | 0 | 0.34 | 2018 |
| Fast Self-Attentive Multimodal Retrieval | 0 | 0.34 | 2018 |
| Hierarchical Multi-Label Classification Networks. | 4 | 0.37 | 2018 |
| Movie genre classification: A multi-label approach based on convolutions through time. | 6 | 0.45 | 2017 |
| Convolutions through time for multi-label movie genre classification. | 4 | 0.52 | 2017 |
| Deep Neural Networks for Handwritten Chinese Character Recognition | 0 | 0.34 | 2017 |
| An Efficient Deep Neural Architecture for Multilingual Sentiment Analysis in Twitter. | 2 | 0.36 | 2017 |
| Hierarchical multi-label classification with chained neural networks. | 2 | 0.37 | 2017 |
| A Deep Neural Architecture for Kitchen Activity Recognition. | 0 | 0.34 | 2017 |
| Hybrid Activity and Plan Recognition for Video Streams. | 3 | 0.43 | 2017 |
| A meta-learning framework for algorithm recommendation in software fault prediction. | 2 | 0.37 | 2016 |
| (Deep) Learning from Frames | 0 | 0.34 | 2016 |
| Medoid-based data clustering with estimation of distribution algorithms. | 1 | 0.36 | 2016 |
| Reduction strategies for hierarchical multi-label classification in protein function prediction. | 9 | 0.63 | 2016 |
| Clustering Molecular Dynamics Trajectories With A Univariate Estimation Of Distribution Algorithm | 0 | 0.34 | 2015 |
| Evolving regression trees robust to missing data | 0 | 0.34 | 2015 |
| Clustering Molecular Dynamics Trajectories for Optimizing Docking Experiments. | 5 | 0.45 | 2015 |
| A Portable OpenCL-Based Approach for SVMs in GPU. | 0 | 0.34 | 2015 |
| Evolving balanced decision trees with a multi-population genetic algorithm | 1 | 0.38 | 2015 |
| Hierarchical Classification Of Gene Ontology-Based Protein Functions With Neural Networks | 6 | 0.44 | 2015 |
| Evolving decision-tree induction algorithms with a multi-objective hyper-heuristic | 1 | 0.35 | 2015 |
| Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification | 1 | 0.35 | 2015 |
| Hierarchical multi-label classification using local neural networks | 21 | 0.84 | 2014 |
| Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets | 13 | 0.53 | 2014 |
| Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation | 5 | 0.43 | 2014 |
| A framework for bottom-up induction of oblique decision trees. | 5 | 0.43 | 2014 |
| Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions | 3 | 0.40 | 2014 |
| A grammatical evolution based hyper-heuristic for the automatic design of split criteria | 2 | 0.38 | 2014 |
| A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules. | 1 | 0.35 | 2013 |
| Automatic design of decision-tree algorithms with evolutionary algorithms | 10 | 0.51 | 2013 |
| Hierarchical Bottom-Up Safe Semi-Supervised Support Vector Machines for Multi-Class Transductive Learning. | 1 | 0.35 | 2013 |
