Cristiano Premebida
Orcid: 0000-0002-2168-2077
According to our database1,
Cristiano Premebida
authored at least 79 papers
between 2006 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Improving Accuracy and Calibration of Deep Image Classifiers With Agreement-Driven Dynamic Ensemble.
IEEE Open J. Comput. Soc., 2025
2024
Assessing interpretability of data-driven fuzzy models: Application in industrial regression problems.
Expert Syst. J. Knowl. Eng., December, 2024
PointNetPGAP-SLC: A 3D LiDAR-Based Place Recognition Approach With Segment-Level Consistency Training for Mobile Robots in Horticulture.
IEEE Robotics Autom. Lett., November, 2024
PointNetPGAP-SLC: A 3D LiDAR-based Place Recognition Approach with Segment-level Consistency Training for Mobile Robots in Horticulture.
CoRR, 2024
Multimodal Human Detection Using YOLO and Representation Learning for Robot Perception.
Proceedings of the 7th Iberian Robotics Conference, 2024
Proceedings of the 7th Iberian Robotics Conference, 2024
Multispectral Image Segmentation in Agriculture: Evaluating Deep Learning Models with Train-Test Split and Cross-Validation Strategies.
Proceedings of the 7th Iberian Robotics Conference, 2024
SPVSoAP3D: A Second-order Average Pooling Approach to enhance 3D Place Recognition in Horticultural Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Multimodal Human Detection using RGB, Thermal and LiDAR modalities for Robotic Perception.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
2023
Int. J. Fuzzy Syst., October, 2023
IEEE Trans. Intell. Transp. Syst., September, 2023
IEEE Trans. Intell. Veh., May, 2023
Reducing the False Positive Rate Using Bayesian Inference in Autonomous Driving Perception.
CoRR, 2023
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection.
CoRR, 2023
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks.
CoRR, 2023
ORCHNet: A Robust Global Feature Aggregation approach for 3D LiDAR-based Place recognition in Orchards.
CoRR, 2023
Evaluation of Point Cloud Data Augmentation for 3D-LiDAR Object Detection in Autonomous Driving.
Proceedings of the Robot 2023: Sixth Iberian Robotics Conference, 2023
Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches.
Proceedings of the Robot 2023: Sixth Iberian Robotics Conference, 2023
Interaction-aware Maneuver Prediction for Autonomous Vehicles using Interaction Graphs.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Interaction-Aware Maneuver Intention Prediction Using Gated Mixture-of-Experts Attention Mechanism.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Modelling the Dependence of Chlorophyll Leaf-Clip Measures on Vegetation Indices Derived from Multispectral UAS Images in Vineyards Parcels.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the 20th International Conference on Informatics in Control, 2023
ECE-based Deep Ensemble for Neural Network Calibration in Satellite Image Classification.
Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2023
Late-Fusion Multimodal Human Detection Based on RGB and Thermal Images for Robotic Perception.
Proceedings of the European Conference on Mobile Robots, 2023
2022
High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection.
Pattern Recognit., 2022
IEEE Intell. Transp. Syst. Mag., 2022
Comput. Electron. Agric., 2022
IEEE Access, 2022
Proceedings of the ROBOT 2022: Fifth Iberian Robotics Conference, 2022
Adaptive-TTA: accuracy-consistent weighted test time augmentation method for the uncertainty calibration of deep learning classifiers.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity.
CoRR, 2020
Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, 2020
Proceedings of the 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, 2020
Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN.
Proceedings of the 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, 2020
2019
Improving Localization by Learning Pole-Like Landmarks Using a Semi-supervised Approach.
Proceedings of the Robot 2019: Fourth Iberian Robotics Conference, 2019
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Mobile Robot Localization with Reinforcement Learning Map Update Decision aided by an Absolute Indoor Positioning System.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
2018
Pattern Recognit. Lett., 2018
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018
Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems, 2018
Multimodal CNN Pedestrian Classification: A Study on Combining LIDAR and Camera Data.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Proceedings of the 2018 IEEE International Conference on Vehicular Electronics and Safety, 2018
2017
Auton. Robots, 2017
Real-Time Deep ConvNet-Based Vehicle Detection Using 3D-LIDAR Reflection Intensity Data.
Proceedings of the ROBOT 2017: Third Iberian Robotics Conference, 2017
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
Proceedings of the 2017 IEEE International Conference on Autonomous Robot Systems and Competitions, 2017
2016
3D Lidar-based static and moving obstacle detection in driving environments: An approach based on voxels and multi-region ground planes.
Robotics Auton. Syst., 2016
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016
2015
IEEE Trans. Veh. Technol., 2015
Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication, 2015
Polar-Grid Representation and Kriging-Based 2.5D Interpolation for Urban Environment Modelling.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015
Applying probabilistic Mixture Models to semantic place classification in mobile robotics.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
2014
A probabilistic approach for human everyday activities recognition using body motion from RGB-D images.
Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
Proceedings of the 12th IEEE International Conference on Industrial Informatics, 2014
2013
IEEE Trans. Cybern., 2013
Fusing LIDAR, camera and semantic information: A context-based approach for pedestrian detection.
Int. J. Robotics Res., 2013
2012
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
2011
Evaluation of Boosting-SVM and SRM-SVM cascade classifiers in laser and vision-based pedestrian detection.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011
2010
A cascade classifier applied in pedestrian detection using laser and image-based features.
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010
2009
Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, 2009
2007
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2007
2006
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2006