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Fährmann, Daniel
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1

Anomaly Detection in Smart Environments: A Comprehensive Su..:

Fährmann, Daniel ; Martín, Laura ; Sánchez, Luis.
IEEE Access.  12 (2024)  - p. 64006-64049 , 2024
Link: https://doi.org/10.1109/..
 
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2

Ubiquitous multi-occupant detection in smart environments:

Fährmann, Daniel ; Boutros, Fadi ; Kubon, Philipp...
Neural Computing and Applications.  36 (2023)  6 - p. 2941-2960 , 2023
Link: https://doi.org/10.1007/..
 
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3

Double Deep Q-Learning With Prioritized Experience Replay f..:

Fahrmann, Daniel ; Jorek, Nils ; Damer, Naser..
IEEE Access.  10 (2022)  - p. 60836-60848 , 2022
Link: https://doi.org/10.1109/..
 
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4

Lightweight Long Short-Term Memory Variational Auto-Encoder..:

Fährmann, Daniel ; Damer, Naser ; Kirchbuchner, Florian.
Sensors.  22 (2022)  8 - p. 2886 , 2022
Link: https://doi.org/10.3390/..
 
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5

On Soft-Biometric Information Stored in Biometric Face Embe..:

Terhorst, Philipp ; Fahrmann, Daniel ; Damer, Naser..
IEEE Transactions on Biometrics, Behavior, and Identity Science.  3 (2021)  4 - p. 519-534 , 2021
Link: https://doi.org/10.1109/..
 
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6

MAAD-Face: A Massively Annotated Attribute Dataset for Face..:

Terhorst, Philipp ; Fahrmann, Daniel ; Kolf, Jan Niklas...
IEEE Transactions on Information Forensics and Security.  16 (2021)  - p. 3942-3957 , 2021
Link: https://doi.org/10.1109/..
 
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7

Beyond Identity: What Information Is Stored in Biometric Fa..:

, In: 2020 IEEE International Joint Conference on Biometrics (IJCB),
Terhorst, Philipp ; Fahrmann, Daniel ; Damer, Naser.. - p. 1-10 , 2020
Link: https://doi.org/10.1109/..
 
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8

Lightweight Long Short-Term Memory Variational Auto-Encoder..:

Fährmann, Daniel ; Damer, Naser ; Kirchbuchner, Florian.
https://tuprints.ulb.tu-darmstadt.de/21287/1/sensors-22-02886-v2.pdf.  , 2022
Link: http://tuprints.ulb.tu-d..
 
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9

Double Deep Q-Learning with Prioritized Experience Replay f..:

Fährmann, Daniel ; Jorek, Nils ; Damer, Naser..
IEEE access.  , 2022
Link: https://publica.fraunhof..
 
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10

Lightweight Long Short-Term Memory Variational Auto-Encoder..:

Fährmann, Daniel ; Damer, Naser ; Kirchbuchner, Florian.
Sensors. Online journal.  , 2022
Link: https://publica.fraunhof..
 
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11

Beyond Identity: What Information Is Stored in Biometric Fa..:

Terhörst, Philipp ; Fährmann, Daniel ; Damer, Naser..
http://arxiv.org/abs/2009.09918.  , 2020
Link: http://arxiv.org/abs/200..
 
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12

MAAD-Face: A Massively Annotated Attribute Dataset for Face..:

Terhörst, Philipp ; Fährmann, Daniel ; Kolf, Jan Niklas...
http://arxiv.org/abs/2012.01030.  , 2020
Link: http://arxiv.org/abs/201..
 
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13

Learning to Predict the 3D Layout of a Scene:

Lin, Jihao Andreas ; Brünker, Jakob ; Fährmann, Daniel
http://arxiv.org/abs/2011.09977.  , 2020
Link: http://arxiv.org/abs/201..
 
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14

Lightweight Long Short-Term Memory Variational Auto-Encoder..:

Daniel Fährmann ; Naser Damer ; Florian Kirchbuchner.
https://www.mdpi.com/1424-8220/22/8/2886.  , 2022
Link: https://doi.org/10.3390/..
 
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15

Lightweight Long Short-Term Memory Variational Auto-Encoder..:

Daniel Fährmann ; Naser Damer ; Florian Kirchbuchner.
Intelligent Sensors.  , 2022
Link: https://doi.org/10.3390/..
 
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