| Real-time Convolutional Neural Networks for emotion and gender classification. O Arriaga, M Valdenegro-Toro, P Plöger ESANN, 2019 | 444 | 2019 |
| Optimization of convolutional neural network hyperparameters for automatic classification of adult mosquitoes D Motta, AÁB Santos, BAS Machado, OGV Ribeiro-Filho, LOA Camargo, ... Plos one 15 (7), e0234959, 2020 | 50 | 2020 |
| Perception for autonomous systems (paz) O Arriaga, M Valdenegro-Toro, M Muthuraja, S Devaramani, F Kirchner arXiv preprint arXiv:2010.14541, 2020 | 19 | 2020 |
| Real-time convolutional neural networks for emotion and gender classification. arXiv 2017 O Arriaga, M Valdenegro-Toro, P Plöger arXiv preprint arXiv:1710.07557, 0 | 19 | |
| Image captioning and classification of dangerous situations O Arriaga, P Plöger, M Valdenegro-Toro arXiv preprint arXiv:1711.02578, 2017 | 6 | 2017 |
| Robot dance generation with music based trajectory optimization M Boukheddimi, D Harnack, S Kumar, R Kumar, S Vyas, O Arriaga, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 5 | 2022 |
| Synchronization of dumbbell satellites: generalized hamiltonian systems approach LO Arriaga-Camargo, R Martınez-Clark, C Cruz-Hernández, ... Nonlinear Dynamics and Systems Theory 15 (4), 334-343, 2015 | 3 | 2015 |
| Sanity checks for saliency methods explaining object detectors DC Padmanabhan, PG Plöger, O Arriaga, M Valdenegro-Toro World Conference on Explainable Artificial Intelligence, 438-455, 2023 | 2 | 2023 |
| Difficulty estimation with action scores for computer vision tasks O Arriaga, S Palacio, M Valdenegro-Toro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
| A Bayesian Approach to Context-based Recognition of Human Intention for Context-Adaptive Robot Assistance in Space Missions A Lubitz, O Arriaga, T Hassan, N Hoyer, EA Kirchner Poster presented at SpaceCHI 2.0: Human-Computer Interaction for Space …, 2022 | 2 | 2022 |
| DExT: Detector Explanation Toolkit DC Padmanabhan, PG Plöger, O Arriaga, M Valdenegro-Toro World Conference on Explainable Artificial Intelligence, 433-456, 2023 | 1 | 2023 |
| Unsupervised Difficulty Estimation with Action Scores O Arriaga, M Valdenegro-Toro arXiv preprint arXiv:2011.11461, 2020 | 1 | 2020 |
| Black-Box Optimization of Object Detector Scales M Muthuraja, O Arriaga, P Plöger, F Kirchner, M Valdenegro-Toro arXiv preprint arXiv:2010.15823, 2020 | 1 | 2020 |
| Learning of Multi-Context Models for Autonomous Underwater Vehicles B Wehbe, O Arriaga, MM Krell, F Kirchner 2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV), 1-6, 2018 | 1 | 2018 |
| Sanity Checks for Saliency Methods Explaining Object Detectors D Chakravarthi Padmanabhan, PG Plöger, O Arriaga, M Valdenegro-Toro arXiv e-prints, arXiv: 2306.02424, 2023 | | 2023 |
| PhysWM: Physical World Models for Robot Learning. M Otto, O Arriaga, C Singh, J Guo, F Kirchner NeSy, 268-278, 2023 | | 2023 |
| DExT: Detector Explanation Toolkit D Chakravarthi Padmanabhan, PG Plöger, O Arriaga, M Valdenegro-Toro arXiv e-prints, arXiv: 2212.11409, 2022 | | 2022 |
| Scene understanding through Deep Learning LO Arriaga Camargo Technical Report/Hochschule Bonn-Rhein-Sieg-University of Applied Sciences …, 2017 | | 2017 |
