| Modeling, Recognizing, and Explaining Apparent Personality From Videos | 2 | 0.36 | 2022 |
| Overview of DA-VINCIS at IberLEF 2022: Detection of Aggressive and Violent Incidents from Social Media in Spanish. | 0 | 0.34 | 2022 |
| Depression Recognition in Social Media based on Symptoms' Detection | 0 | 0.34 | 2022 |
| Cross-Ethnicity Face Anti-Spoofing Recognition Challenge: A Review | 2 | 0.35 | 2021 |
| Desert Bighorn Sheep (Ovis Canadensis) Recognition From Camera Traps Based On Learned Features | 0 | 0.34 | 2021 |
| Overview of MEX-A3T at IberLEF 2020 - Fake News and Aggressiveness Analysis in Mexican Spanish. | 0 | 0.34 | 2020 |
| AutoML @ NeurIPS 2018 challenge: Design and Results. | 1 | 0.35 | 2019 |
| Meta-learning of textual representations. | 0 | 0.34 | 2019 |
| Convolutional Genetic Programming | 0 | 0.34 | 2019 |
| Cross-Cultural Image-Based Author Profiling in Twitter. | 0 | 0.34 | 2019 |
| High-level Features for Multimodal Deception Detection in Videos | 0 | 0.34 | 2019 |
| Split and merge watershed: A two-step method for cell segmentation in fluorescence microscopy images. | 1 | 0.35 | 2019 |
| Multi-modal Face Anti-spoofing Attack Detection Challenge at CVPR2019 | 1 | 0.35 | 2019 |
| Early Text Classification Using Multi-Resolution Concept Representations. | 0 | 0.34 | 2018 |
| Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos. | 1 | 0.35 | 2018 |
| Surrogate modeling based on granular models and fuzzy aptitude functions. | 0 | 0.34 | 2018 |
| Taking Human out of Learning Applications: A Survey on Automated Machine Learning. | 4 | 0.43 | 2018 |
| Multimodal First Impression Analysis with Deep Residual Networks. | 6 | 0.44 | 2018 |
| Overview of MEX-A3T at IberEval 2018: Authorship and Aggressiveness Analysis in Mexican Spanish Tweets. | 0 | 0.34 | 2018 |
| Recognition of Apparent Personality Traits from Text and Handwritten Images. | 0 | 0.34 | 2018 |
| Predicting Academic-Challenge Success. | 0 | 0.34 | 2018 |
| Guest Editorial: Apparent Personality Analysis. | 1 | 0.35 | 2018 |
| Evaluation of Detection Approaches for Road Anomalies Based on Accelerometer Readings - Addressing Who's Who. | 0 | 0.34 | 2018 |
| A visual approach for age and gender identification on Twitter. | 0 | 0.34 | 2018 |
| Looking at People Special Issue. | 1 | 0.38 | 2018 |
| Automated Detection of Hummingbirds in Images: A Deep Learning Approach. | 0 | 0.34 | 2018 |
| Playing against Nature: causal discovery for decision making under uncertainty. | 1 | 0.41 | 2018 |
| Learning Roadway Surface Disruption Patterns Using the Bag of Words Representation. | 6 | 0.64 | 2017 |
| Time series forecasting with genetic programming | 4 | 0.54 | 2017 |
| A Parallel Approach For The Training Stage Of The Viola-Jones Face Detection Algorithm | 0 | 0.34 | 2017 |
| An online and incremental GRLVQ algorithm for prototype generation based on granular computing. | 3 | 0.37 | 2017 |
| A Flexible Framework for the Evaluation of Unsupervised Image Annotation. | 1 | 0.35 | 2017 |
| Semi-supervised Online Kernel Semantic Embedding for Multi-label Annotation. | 1 | 0.37 | 2017 |
| Principal motion components for one-shot gesture recognition | 11 | 0.60 | 2017 |
| Detección del engaño en notas de opinión a través de técnicas tradicionales de clasificación automática de textos. | 0 | 0.34 | 2017 |
| ChaLearn Looking at People: Events and Resources. | 0 | 0.34 | 2017 |
| An iterative genetic programming approach to prototype generation. | 0 | 0.34 | 2017 |
| Learning When to Classify for Early Text Classification. | 0 | 0.34 | 2017 |
| INAOE's participation at ImageCLEF 2016: Text Illustration Task. | 0 | 0.34 | 2016 |
| Early text classification: a Naïve solution. | 0 | 0.34 | 2016 |
| A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention. | 0 | 0.34 | 2016 |
| Emopg Plus Fs: Evolutionary Multi-Objective Prototype Generation And Feature Selection | 0 | 0.34 | 2016 |
| PGGP: Prototype Generation via Genetic Programming. | 4 | 0.41 | 2016 |
| In Defense of Online Kmeans for Prototype Generation and Instance Reduction. | 0 | 0.34 | 2016 |
| A naïve Bayes baseline for early gesture recognition. | 8 | 0.49 | 2016 |
| Improving the BoVW via discriminative visual n-grams and MKL strategies. | 5 | 0.42 | 2016 |
| Early text classification: a Naive solution. | 1 | 0.35 | 2016 |
| Surrogate modeling based on an adaptive network and granular computing. | 5 | 0.42 | 2016 |
| A Machine Learning Pipeline to Automatically Identify and Classify Roadway Surface Disruptions. | 1 | 0.37 | 2016 |
| Classifying infant cry patterns by the Genetic Selection of a Fuzzy Model. | 3 | 0.41 | 2015 |
