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ORCIDOliver De Candido
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2020 – today
- 2024
[c15]Jan Roßbach
, Oliver De Candido, Ahmed Hammam, Michael Leuschel:
Evaluating AI-Based Components in Autonomous Railway Systems - A Methodology. KI 2024: 190-203- [i6]Ahmed Hammam, Bharathwaj Krishnaswami Sreedhar, Nura Kawa, Tim Patzelt, Oliver De Candido:
Structuring a Training Strategy to Robustify Perception Models with Realistic Image Augmentations. CoRR abs/2408.17311 (2024) - 2023
- [j3]Oliver De Candido, Michael Koller, Wolfgang Utschick:
Encouraging Validatable Features in Machine Learning-Based Highly Automated Driving Functions. IEEE Trans. Intell. Veh. 8(2): 1837-1851 (2023) - [j2]Kathrin Klein, Oliver De Candido, Wolfgang Utschick:
Interpretable Classifiers Based on Time-Series Motifs for Lane Change Prediction. IEEE Trans. Intell. Veh. 8(7): 3954-3961 (2023) - [c14]Maximilian Henneberg, Chloe Eghtebas, Oliver De Candido, Kai Kunze, Jamie A. Ward:
Detecting an Offset-Adjusted Similarity Score based on Duchenne Smiles. CHI Extended Abstracts 2023: 83:1-83:5 - [c13]Jia Yu Tee, Oliver De Candido, Wolfgang Utschick, Philipp Geiger:
On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows. ITSC 2023: 5876-5883 - [i5]Jia Yu Tee, Oliver De Candido, Wolfgang Utschick, Philipp Geiger:
On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows. CoRR abs/2305.13106 (2023) - 2022
- [c12]Oliver De Candido, Xinyang Li, Wolfgang Utschick:
An Analysis of Distributional Shifts in Automated Driving Functions in Highway Scenarios. VTC Spring 2022: 1-7 - 2021
- [c11]Oliver Gallitz, Oliver De Candido, Michael Botsch, Wolfgang Utschick:
Interpretable Early Prediction of Lane Changes Using a Constrained Neural Network Architecture. ITSC 2021: 493-499 - [c10]Fabian Konstantinidis, Ulrich Hofmann, Moritz Sackmann, Jörn Thielecke, Oliver De Candido, Wolfgang Utschick:
Parameter Sharing Reinforcement Learning for Modeling Multi-Agent Driving Behavior in Roundabout Scenarios. ITSC 2021: 1974-1981 - [c9]Oliver De Candido, Maximilian Binder, Wolfgang Utschick:
An Interpretable Lane Change Detector Algorithm based on Deep Autoencoder Anomaly Detection. IV 2021: 516-523 - [c8]Tobias Uelwer, Felix Michels, Oliver De Candido:
Learning to Detect Adversarial Examples Based on Class Scores. KI 2021: 233-240 - [i4]Philipp Joppich, Sebastian Dorn, Oliver De Candido, Wolfgang Utschick, Jakob Knollmüller:
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders. CoRR abs/2105.13393 (2021) - [i3]Tobias Uelwer, Felix Michels, Oliver De Candido:
Learning to Detect Adversarial Examples Based on Class Scores. CoRR abs/2107.04435 (2021) - 2020
- [c7]Oliver Gallitz, Oliver De Candido, Michael Botsch, Ron Melz, Wolfgang Utschick:
Interpretable Machine Learning Structure for an Early Prediction of Lane Changes. ICANN (1) 2020: 337-349 - [c6]Oliver De Candido, Michael Koller, Oliver Gallitz, Ron Melz, Michael Botsch, Wolfgang Utschick:
Towards Feature Validation in Time to Lane Change Classification using Deep Neural Networks. ITSC 2020: 1-8
2010 – 2019
- 2019
- [j1]Oliver De Candido, Hela Jedda, Amine Mezghani, A. Lee Swindlehurst, Josef A. Nossek:
Reconsidering Linear Transmit Signal Processing in 1-Bit Quantized Multi-User MISO Systems. IEEE Trans. Wirel. Commun. 18(1): 254-267 (2019) - [c5]Oliver Gallitz, Oliver De Candido, Michael Botsch, Wolfgang Utschick:
Interpretable Feature Generation using Deep Neural Networks and its Application to Lane Change Detection. ITSC 2019: 3405-3411 - 2018
- [i2]Oliver De Candido, Hela Jedda, Amine Mezghani, A. Lee Swindlehurst, Josef A. Nossek:
Reconsidering Linear Transmit Signal Processing in 1-Bit Quantized Multi-User MISO Systems. CoRR abs/1802.10329 (2018) - 2017
- [c4]Oliver De Candido, Hela Jedda, Amine Mezghani, A. Lee Swindlehurst, Josef A. Nossek:
Are Traditional Signal Processing Techniques Rate Maximizing in Quantized SU-MISO Systems? GLOBECOM 2017: 1-6 - [i1]Hela Jedda, Leonardo Gomes Baltar, Oliver De Candido, Amine Mezghani, Josef A. Nossek:
DFE/THP duality for FBMC with highly frequency selective channels. CoRR abs/1706.08718 (2017) - 2016
- [c3]Oliver De Candido, Sher Ali Cheema, Leonardo Gomes Baltar, Martin Haardt, Josef A. Nossek:
Downlink Precoder and Equalizer Designs for Multi-User MIMO FBMC/OQAM. WSA 2016: 1-8 - 2015
- [c2]Hela Jedda, Leonardo Gomes Baltar, Oliver De Candido, Amine Mezghani, Josef A. Nossek:
DFE/THP duality for FBMC with highly frequency selective channels. EUSIPCO 2015: 2127-2131 - [c1]Oliver De Candido, Leonardo Gomes Baltar, Amine Mezghani, Josef A. Nossek:
SIMO/MISO MSE-Duality for Multi-User FBMC with Highly Frequency Selective Channels. WSA 2015: 1-7
Coauthor Index
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