| Tutorials at PPSN 2018. | 0 | 0.34 | 2018 |
| How Machine Learning Could Detect Anomalies on Thinger.io Platform? | 0 | 0.34 | 2018 |
| Applying Voreal For Iot Intrusion Detection | 1 | 0.34 | 2018 |
| Multiobjective evolutionary polygonal approximation for identifying crude oil reservoirs. | 0 | 0.34 | 2018 |
| Bio-inspired approaches to anomaly and intrusion detection. | 0 | 0.34 | 2018 |
| Selection methods and diversity preservation in many-objective evolutionary algorithms. | 0 | 0.34 | 2018 |
| Crude oil refinery scheduling: addressing a real-world multiobjective problem through genetic programming and dominance-based approaches. | 0 | 0.34 | 2018 |
| On the combination of support vector machines and segmentation algorithms for anomaly detection: A petroleum industry comparative study. | 0 | 0.34 | 2017 |
| Impact of selection methods on the diversity of many-objective Pareto set approximations. | 1 | 0.36 | 2017 |
| Progressively adding objectives: a case study in anomaly detection. | 1 | 0.36 | 2017 |
| Crowd-Based Ambient Assisted Living to Monitor the Elderly's Health Outdoors. | 3 | 0.77 | 2017 |
| Bio-Inspired Algorithms And Preferences For Multi-Objective Problems | 0 | 0.34 | 2016 |
| A Data Fusion Model for Ambient Assisted Living. | 0 | 0.34 | 2016 |
| Ontology definition and cognitive analysis in ocupational health and security (OHS) environments | 0 | 0.34 | 2015 |
| Collective preferences in evolutionary multi-objective optimization: techniques and potential contributions of collective intelligence | 0 | 0.34 | 2015 |
| Big Data Visualization for Occupational Health and Security Problem in Oil and Gas Industry | 2 | 0.36 | 2015 |
| Using Collective Intelligence to Support Multi-objective Decisions: Collaborative and Online Preferences. | 0 | 0.34 | 2015 |
| An Information Fusion Framework For Context-Based Accidents Prevention | 2 | 0.38 | 2014 |
| High-Level Information Fusion for Risk and Accidents Prevention in Pervasive Oil Industry Environments. | 2 | 0.37 | 2014 |
| Combining Support Vector Machines and Segmentation Algorithms for Efficient Anomaly Detection: A Petroleum Industry Application | 0 | 0.34 | 2014 |
| YASA: Yet Another Time Series Segmentation Algorithm for Anomaly Detection in Big Data Problems | 2 | 0.43 | 2014 |
| Text Classification Techniques in Oil Industry Applications. | 3 | 0.39 | 2013 |
| Model-building algorithms for multiobjective EDAs: Directions for improvement | 5 | 0.53 | 2008 |
| A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms | 21 | 0.81 | 2007 |
