Oliver De Candido

According to our database, Oliver De Candido authored at least 20 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Structuring a Training Strategy to Robustify Perception Models with Realistic Image Augmentations.

Ahmed Hammam, Bharathwaj Krishnaswami Sreedhar, Nura Kawa, Tim Patzelt, Oliver De Candido

CoRR, 2024

Evaluating AI-Based Components in Autonomous Railway Systems - A Methodology.

Jan Roßbach, Oliver De Candido, Ahmed Hammam, Michael Leuschel

Proceedings of the KI 2024: Advances in Artificial Intelligence, 2024

2023

Interpretable Classifiers Based on Time-Series Motifs for Lane Change Prediction.

Kathrin Klein, Oliver De Candido, Wolfgang Utschick

IEEE Trans. Intell. Veh., July, 2023

Encouraging Validatable Features in Machine Learning-Based Highly Automated Driving Functions.

Oliver De Candido, Michael Koller, Wolfgang Utschick

IEEE Trans. Intell. Veh., February, 2023

On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows.

Jia Yu Tee, Oliver De Candido, Wolfgang Utschick, Philipp Geiger

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Detecting an Offset-Adjusted Similarity Score based on Duchenne Smiles.

Maximilian Henneberg, Chloe Eghtebas, Oliver De Candido, Kai Kunze, Jamie A. Ward

Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

An Analysis of Distributional Shifts in Automated Driving Functions in Highway Scenarios.

Oliver De Candido, Xinyang Li, Wolfgang Utschick

Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

2021

Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders.

Philipp Joppich, Sebastian Dorn, Oliver De Candido, Wolfgang Utschick, Jakob Knollmüller

CoRR, 2021

Learning to Detect Adversarial Examples Based on Class Scores.

Tobias Uelwer, Felix Michels, Oliver De Candido

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

An Interpretable Lane Change Detector Algorithm based on Deep Autoencoder Anomaly Detection.

Oliver De Candido, Maximilian Binder, Wolfgang Utschick

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Parameter Sharing Reinforcement Learning for Modeling Multi-Agent Driving Behavior in Roundabout Scenarios.

Fabian Konstantinidis, Ulrich Hofmann, Moritz Sackmann, Jörn Thielecke, Oliver De Candido, Wolfgang Utschick

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Interpretable Early Prediction of Lane Changes Using a Constrained Neural Network Architecture.

Oliver Gallitz, Oliver De Candido, Michael Botsch, Wolfgang Utschick

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

Towards Feature Validation in Time to Lane Change Classification using Deep Neural Networks.

Oliver De Candido, Michael Koller, Oliver Gallitz, Ron Melz, Michael Botsch, Wolfgang Utschick

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Interpretable Machine Learning Structure for an Early Prediction of Lane Changes.

Oliver Gallitz, Oliver De Candido, Michael Botsch, Ron Melz, Wolfgang Utschick

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Reconsidering Linear Transmit Signal Processing in 1-Bit Quantized Multi-User MISO Systems.

Oliver De Candido, Hela Jedda, Amine Mezghani, A. Lee Swindlehurst, Josef A. Nossek

IEEE Trans. Wirel. Commun., 2019

Interpretable Feature Generation using Deep Neural Networks and its Application to Lane Change Detection.

Oliver Gallitz, Oliver De Candido, Michael Botsch, Wolfgang Utschick

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2017

Are Traditional Signal Processing Techniques Rate Maximizing in Quantized SU-MISO Systems?

Oliver De Candido, Hela Jedda, Amine Mezghani, A. Lee Swindlehurst, Josef A. Nossek

Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016

Downlink Precoder and Equalizer Designs for Multi-User MIMO FBMC/OQAM.

Oliver De Candido, Sher Ali Cheema, Leonardo Gomes Baltar, Martin Haardt, Josef A. Nossek

Proceedings of the WSA 2016, 2016

2015

SIMO/MISO MSE-Duality for Multi-User FBMC with Highly Frequency Selective Channels.

Oliver De Candido, Leonardo Gomes Baltar, Amine Mezghani, Josef A. Nossek

Proceedings of the WSA 2015, 2015

DFE/THP duality for FBMC with highly frequency selective channels.

Hela Jedda, Leonardo Gomes Baltar, Oliver De Candido, Amine Mezghani, Josef A. Nossek

Proceedings of the 23rd European Signal Processing Conference, 2015