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De Candido, Oliver
76  Ergebnisse:
Personensuche X
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1

On Learning the Tail Quantiles of Driving Behavior Distribu..:

, In: 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC),
Tee, Jia Yu ; De Candido, Oliver ; Utschick, Wolfgang. - p. 5876-5883 , 2023
Link: https://doi.org/10.1109/..
 
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2

Encouraging Validatable Features in Machine Learning-Based ..:

De Candido, Oliver ; Koller, Michael ; Utschick, Wolfgang
IEEE Transactions on Intelligent Vehicles.  8 (2023)  2 - p. 1837-1851 , 2023
Link: https://doi.org/10.1109/..
 
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3

Detecting an Offset-Adjusted Similarity Score based on Duch..:

, In: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems,
Henneberg, Maximilian ; Eghtebas, Chloe ; De Candido, Oliver.. - p. 1-5 , 2023
Link: https://dl.acm.org/doi/1..
 
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4

Interpretable Classifiers Based on Time-Series Motifs for L..:

Klein, Kathrin ; De Candido, Oliver ; Utschick, Wolfgang
IEEE Transactions on Intelligent Vehicles.  8 (2023)  7 - p. 3954-3961 , 2023
Link: https://doi.org/10.1109/..
 
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5

An Analysis of Distributional Shifts in Automated Driving F..:

, In: 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring),
Candido, Oliver De ; Li, Xinyang ; Utschick, Wolfgang - p. 1-7 , 2022
Link: https://doi.org/10.1109/..
 
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6

Learning to Detect Adversarial Examples Based on Class Scor..:

, In: KI 2021: Advances in Artificial Intelligence; Lecture Notes in Computer Science,
Uelwer, Tobias ; Michels, Felix ; De Candido, Oliver - p. 233-240 , 2021
Link: https://doi.org/10.1007/..
 
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7

Towards Feature Validation in Time to Lane Change Classific..:

, In: 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC),
Candido, Oliver De ; Koller, Michael ; Gallitz, Oliver... - p. 1-8 , 2020
Link: https://doi.org/10.1109/..
 
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8

Interpretable Machine Learning Structure for an Early Predi..:

, In: Artificial Neural Networks and Machine Learning – ICANN 2020; Lecture Notes in Computer Science,
Gallitz, Oliver ; De Candido, Oliver ; Botsch, Michael.. - p. 337-349 , 2020
Link: https://doi.org/10.1007/..
 
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9

Interpretable Feature Generation using Deep Neural Networks..:

, In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC),
Gallitz, Oliver ; Candido, Oliver De ; Botsch, Michael. - p. 3405-3411 , 2019
Link: https://doi.org/10.1109/..
 
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10

Validating Machine Learning-based Highly Automated Driving ..:

De Candido, Oliver Thomas , 2023
Link: http://nbn-resolving.de/..
 
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11

On Learning the Tail Quantiles of Driving Behavior Distribu..:

Tee, Jia Yu ; De Candido, Oliver ; Utschick, Wolfgang.
http://arxiv.org/abs/2305.13106.  , 2023
Link: http://arxiv.org/abs/230..
 
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12

An Analysis of Distributional Shifts in Automated Driving F..:

De Candido, Oliver ; Li, Xinyang ; Utschick, Wolfgang
https://mediatum.ub.tum.de/1686444.  , 2022
Link: https://mediatum.ub.tum...
 
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13

Learning to Detect Adversarial Examples Based on Class Scor..:

Uelwer, Tobias ; Michels, Felix ; De Candido, Oliver
http://arxiv.org/abs/2107.04435.  , 2021
Link: http://arxiv.org/abs/210..
 
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14

Classification and Uncertainty Quantification of Corrupted ..:

Joppich, Philipp ; Dorn, Sebastian ; De Candido, Oliver..
http://arxiv.org/abs/2105.13393.  , 2021
Link: http://arxiv.org/abs/210..
 
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15

Reconsidering Linear Transmit Signal Processing in 1-Bit Qu..:

De Candido, Oliver ; Jedda, Hela ; Mezghani, Amine..
qt9cb2r8d4.  , 2019
Link: https://escholarship.org..
 
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