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2022
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Memory Modules for Deep LearningHark, N.Master’s thesis, Institute of Neural Computation, Ruhr University Bochum, Bochum, Germany
@mastersthesis{Hark2022, author = {Hark, Niklas}, title = {Memory Modules for Deep Learning}, school = {Institute of Neural Computation, Ruhr University Bochum}, address = {Bochum, Germany}, month = {May}, year = {2022}, }
Hark, N. (2022, May). Memory Modules for Deep Learning. Master’s thesis, Institute of Neural Computation, Ruhr University Bochum, Bochum, Germany.2021
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Interaction of Ensembling and Double Descent in Deep Neural NetworksRath-Manakidis, P.Master’s thesis, Cognitive Science, Ruhr University Bochum, Germany
@mastersthesis{Rath-Manakidis2021, author = {Rath-Manakidis, Pavlos}, title = {Interaction of Ensembling and Double Descent in Deep Neural Networks}, school = {Cognitive Science, Ruhr University Bochum, Germany}, month = {March}, year = {2021}, }
Rath-Manakidis, P. (2021, March). Interaction of Ensembling and Double Descent in Deep Neural Networks. Master’s thesis, Cognitive Science, Ruhr University Bochum, Germany. Retrieved from https://www.ini.rub.de/PEOPLE/wiskott/Reprints/RathManakidis-2021-MScThesis-DoubleDescent.pdfDecentralized Query Processing over Heterogeneous Sources of Knowledge GraphsHeling, L.Doctoral thesis, Karlsruhe Institute of Technology, Germany@phdthesis{Heling2021, author = {Heling, Lars}, title = {Decentralized Query Processing over Heterogeneous Sources of Knowledge Graphs}, school = {Karlsruhe Institute of Technology, Germany}, year = {2021}, }
Heling, L. (2021). Decentralized Query Processing over Heterogeneous Sources of Knowledge Graphs. Doctoral thesis, Karlsruhe Institute of Technology, Germany.Learning Latent Features using Stochastic Neural Networks on Graph Structured DataWeller, T.Doctoral thesis, Karlsruhe Institute of Technology, Germany@phdthesis{Weller2021, author = {Weller, Tobias}, title = {Learning Latent Features using Stochastic Neural Networks on Graph Structured Data}, school = {Karlsruhe Institute of Technology, Germany}, year = {2021}, }
Weller, T. (2021). Learning Latent Features using Stochastic Neural Networks on Graph Structured Data. Doctoral thesis, Karlsruhe Institute of Technology, Germany. Retrieved from https://nbn-resolving.org/urn:nbn:de:101:1-20210331045909693234562020
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Examination of the Insufficiencies of Cycle-Consistent Adversarially Generated ImagesJanssen, L.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany
@bachelorthesis{Janssen2020, author = {Janssen, Lars}, title = {Examination of the Insufficiencies of Cycle-Consistent Adversarially Generated Images}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {September}, year = {2020}, }
Janssen, L. (2020, September). Examination of the Insufficiencies of Cycle-Consistent Adversarially Generated Images. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.Development of a controller for corridor following based on visual inputs with deep reinforcement learningBachert, M.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Bachert2020, author = {Bachert, Marvin}, title = {Development of a controller for corridor following based on visual inputs with deep reinforcement learning}, year = {2020}, }
Bachert, M. (2020). Development of a controller for corridor following based on visual inputs with deep reinforcement learning. Applied Computer Science, Ruhr University Bochum, Germany.Fußgängerdetektion im autonomen Fahren durch für Menschengruppen optimierte Ansätze in tiefen neuronalen NetzenCzech, P.Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany@mastersthesis{Czech2020, author = {Czech, Phillip}, title = {Fußgängerdetektion im autonomen Fahren durch für Menschengruppen optimierte Ansätze in tiefen neuronalen Netzen}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {January}, year = {2020}, }
Czech, P. (2020, January). Fußgängerdetektion im autonomen Fahren durch für Menschengruppen optimierte Ansätze in tiefen neuronalen Netzen. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.Vergleich von Reinforcement Learning, Generative Adversarial Imitation Learning und Behavioral Cloning in einfachen ComputerspielenHelmig, D.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Helmig2020, author = {Helmig, Dominik}, title = {Vergleich von Reinforcement Learning, Generative Adversarial Imitation Learning und Behavioral Cloning in einfachen Computerspielen}, year = {2020}, }
Helmig, D. (2020). Vergleich von Reinforcement Learning, Generative Adversarial Imitation Learning und Behavioral Cloning in einfachen Computerspielen. Applied Computer Science, Ruhr University Bochum, Germany.Effekte serotonerger Rezeptoren auf die kortikale Aktivität der Maus durch Benutzung optogenetischer TechnikenNovosad, A.Master’s thesis, Fakultät für Biologie und Biotechnologie, Univ. of Bochum, Germany@mastersthesis{Novosad2020, author = {Novosad, Alexander}, title = {Effekte serotonerger Rezeptoren auf die kortikale Aktivität der Maus durch Benutzung optogenetischer Techniken}, school = {Fakultät für Biologie und Biotechnologie, Univ. of Bochum, Germany}, month = {January}, type = {M.Sc. thesis}, year = {2020}, }
Novosad, A. (2020, January). Effekte serotonerger Rezeptoren auf die kortikale Aktivität der Maus durch Benutzung optogenetischer Techniken. Master’s thesis, Fakultät für Biologie und Biotechnologie, Univ. of Bochum, Germany.Learning pose-invariant object representations using Power-SFAvan Wickern, J.Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany@bachelorthesis{van Wickern2020, author = {van Wickern, Jan}, title = {Learning pose-invariant object representations using Power-SFA}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {January}, year = {2020}, }
van Wickern, J. (2020, January). Learning pose-invariant object representations using Power-SFA. Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany.2019
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Automatic Analysis of Crash Simulations with the Application of Machine LearningPeredo Tiburcio, M. A.Master’s thesis, Automation and Robotics, Technical University Dortmund, Germany
@mastersthesis{Peredo Tiburcio2019, author = {Peredo Tiburcio, Marco Antonio}, title = {Automatic Analysis of Crash Simulations with the Application of Machine Learning}, school = {Automation and Robotics, Technical University Dortmund, Germany}, month = {December}, year = {2019}, }
Peredo Tiburcio, M. A. (2019, December). Automatic Analysis of Crash Simulations with the Application of Machine Learning. Master’s thesis, Automation and Robotics, Technical University Dortmund, Germany.Entwicklung und Implementierung von maschinellen Lernverfahren zur Wissensgewinnung aus Online-News-ArtikelnYekta, A. R.Master’s thesis, IT Security, Ruhr University Bochum, Germany@mastersthesis{Yekta2019, author = {Yekta, Ali Reca}, title = {Entwicklung und Implementierung von maschinellen Lernverfahren zur Wissensgewinnung aus Online-News-Artikeln}, school = {IT Security, Ruhr University Bochum, Germany}, month = {December}, year = {2019}, }
Yekta, A. R. (2019, December). Entwicklung und Implementierung von maschinellen Lernverfahren zur Wissensgewinnung aus Online-News-Artikeln. Master’s thesis, IT Security, Ruhr University Bochum, Germany.Ansätze des maschinellen Lernens zur Binärsegmentierung von Parkplatzaufnahmen mit statischen KamerasBrauksiepe, M.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Brauksiepe2019, author = {Brauksiepe, Marc}, title = {Ansätze des maschinellen Lernens zur Binärsegmentierung von Parkplatzaufnahmen mit statischen Kameras}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {November}, year = {2019}, }
Brauksiepe, M. (2019, November). Ansätze des maschinellen Lernens zur Binärsegmentierung von Parkplatzaufnahmen mit statischen Kameras. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.Stellplatzunabhängige Erkennung parallel geparkter Fahrzeuge mit Hilfe statischer KamerasEschbach, K.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Eschbach2019, author = {Eschbach, Kevin}, title = {Stellplatzunabhängige Erkennung parallel geparkter Fahrzeuge mit Hilfe statischer Kameras}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {October}, year = {2019}, }
Eschbach, K. (2019, October). Stellplatzunabhängige Erkennung parallel geparkter Fahrzeuge mit Hilfe statischer Kameras. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.Untersuchung und Training der neuronalen Netzwerkarchitektur Faster-RCNN und YOLO zur FahrzeugdetektionPetrow, K.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Petrow2019, author = {Petrow, Kristina}, title = {Untersuchung und Training der neuronalen Netzwerkarchitektur Faster-RCNN und YOLO zur Fahrzeugdetektion}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {October}, year = {2019}, }
Petrow, K. (2019, October). Untersuchung und Training der neuronalen Netzwerkarchitektur Faster-RCNN und YOLO zur Fahrzeugdetektion. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.Differential Visual Discrimination Performance Dependent on Stimulus Category in a Deep Neural Network Model of the Visual CortexBoschuk, V.Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany@bachelorthesis{Boschuk2019, author = {Boschuk, Volker}, title = {Differential Visual Discrimination Performance Dependent on Stimulus Category in a Deep Neural Network Model of the Visual Cortex}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {August}, year = {2019}, }
Boschuk, V. (2019, August). Differential Visual Discrimination Performance Dependent on Stimulus Category in a Deep Neural Network Model of the Visual Cortex. Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany.Simulating the effects of the balance between excitatory and inhibitory neurons on the dynamics of spiking neural networksDroßel, A.Master’s thesis, Physics, TU Dortmund, Germany@mastersthesis{Droßel2019, author = {Droßel, Alexander}, title = {Simulating the effects of the balance between excitatory and inhibitory neurons on the dynamics of spiking neural networks}, school = {Physics, TU Dortmund, Germany}, month = {May}, year = {2019}, }
Droßel, A. (2019, May). Simulating the effects of the balance between excitatory and inhibitory neurons on the dynamics of spiking neural networks. Master’s thesis, Physics, TU Dortmund, Germany.Reinforcement learning in multiple contexts: How does the network represent the learned information?Diekmann, N.Master’s thesis, Applied Informatics, Univ. of Bochum, Germany@mastersthesis{Diekmann2019, author = {Diekmann, Nicolas}, title = {Reinforcement learning in multiple contexts: How does the network represent the learned information?}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {April}, year = {2019}, }
Diekmann, N. (2019, April). Reinforcement learning in multiple contexts: How does the network represent the learned information?. Master’s thesis, Applied Informatics, Univ. of Bochum, Germany.Transfer of Learned Associations in a Reinforcement Learning ContextVijayabaskaran, S.Master’s thesis, Computational Engineering, Univ. of Bochum, Germany@mastersthesis{Vijayabaskaran2019, author = {Vijayabaskaran, Sandhiya}, title = {Transfer of Learned Associations in a Reinforcement Learning Context}, school = {Computational Engineering, Univ. of Bochum, Germany}, month = {April}, year = {2019}, }
Vijayabaskaran, S. (2019, April). Transfer of Learned Associations in a Reinforcement Learning Context. Master’s thesis, Computational Engineering, Univ. of Bochum, Germany.Driving network oscillations in ING and PING models with realistic spiking inputsSowade, J.Master’s thesis, Applied Informatics, Univ. of Bochum, Germany@mastersthesis{Sowade2019, author = {Sowade, Jan}, title = {Driving network oscillations in ING and PING models with realistic spiking inputs}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {February}, year = {2019}, }
Sowade, J. (2019, February). Driving network oscillations in ING and PING models with realistic spiking inputs. Master’s thesis, Applied Informatics, Univ. of Bochum, Germany.Einzelbildbasierte Wegplanung in virtuellen UmgebungenAkkiraz, T.@bachelorthesis{Akkiraz2019, author = {Akkiraz, Tolga}, title = {Einzelbildbasierte Wegplanung in virtuellen Umgebungen}, year = {2019}, }
Akkiraz, T. (2019). Einzelbildbasierte Wegplanung in virtuellen Umgebungen.Lösung des Zuordnungsproblems in einem Multikamerasystem durch die Erweiterung eines tiefen neuronalen Netzwerks zur semantischen InstanzsegmentierungAsakura, V.Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany@mastersthesis{Asakura2019, author = {Asakura, Vincent}, title = {Lösung des Zuordnungsproblems in einem Multikamerasystem durch die Erweiterung eines tiefen neuronalen Netzwerks zur semantischen Instanzsegmentierung}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2019}, }
Asakura, V. (2019). Lösung des Zuordnungsproblems in einem Multikamerasystem durch die Erweiterung eines tiefen neuronalen Netzwerks zur semantischen Instanzsegmentierung. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.Detektion von Wolken in SatellitendatenGergs, L.@mastersthesis{Gergs2019, author = {Gergs, Lukas}, title = {Detektion von Wolken in Satellitendaten}, year = {2019}, }
Gergs, L. (2019). Detektion von Wolken in Satellitendaten.Experimental evaluation of neural monocular depth estimation methods on video gamesGondermann, N.@bachelorthesis{Gondermann2019, author = {Gondermann, Nils}, title = {Experimental evaluation of neural monocular depth estimation methods on video games}, year = {2019}, }
Gondermann, N. (2019). Experimental evaluation of neural monocular depth estimation methods on video games.Echtzeitfähige bildbasierte Videostabilisierung von Außenaufnahmen in dynamischen SzenenKiyani, M.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Kiyani2019, author = {Kiyani, Matiyar}, title = {Echtzeitfähige bildbasierte Videostabilisierung von Außenaufnahmen in dynamischen Szenen}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {January}, year = {2019}, }
Kiyani, M. (2019, January). Echtzeitfähige bildbasierte Videostabilisierung von Außenaufnahmen in dynamischen Szenen. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.Entwicklung und Implementierung einer Kaskade konvolutionaler neuronaler Netzwerke zur Gesichtsmarkendetektion mit Part-Affinity-FieldsNguyen, T. V.Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany@mastersthesis{Nguyen2019, author = {Nguyen, Thuy Vi}, title = {Entwicklung und Implementierung einer Kaskade konvolutionaler neuronaler Netzwerke zur Gesichtsmarkendetektion mit Part-Affinity-Fields}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2019}, }
Nguyen, T. V. (2019). Entwicklung und Implementierung einer Kaskade konvolutionaler neuronaler Netzwerke zur Gesichtsmarkendetektion mit Part-Affinity-Fields. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.Verfahren des maschinellen Lernens zur Ermittlung der Nutzungsarten eines Kaffeevollautomaten durch StromverbrauchsprofileOrdu, O.Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany@mastersthesis{Ordu2019, author = {Ordu, Onur}, title = {Verfahren des maschinellen Lernens zur Ermittlung der Nutzungsarten eines Kaffeevollautomaten durch Stromverbrauchsprofile}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2019}, }
Ordu, O. (2019). Verfahren des maschinellen Lernens zur Ermittlung der Nutzungsarten eines Kaffeevollautomaten durch Stromverbrauchsprofile. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.A Fast Method for Verification of Extrinsic Sensor Calibrations using Cross-Validation for Automated Driving DevelopmentRaza, S. H.Master’s thesis, Automation and Robotics, Technical University Dortmund, Germany@mastersthesis{Raza2019, author = {Raza, Syed Haseeb}, title = {A Fast Method for Verification of Extrinsic Sensor Calibrations using Cross-Validation for Automated Driving Development}, school = {Automation and Robotics, Technical University Dortmund, Germany}, year = {2019}, }
Raza, S. H. (2019). A Fast Method for Verification of Extrinsic Sensor Calibrations using Cross-Validation for Automated Driving Development. Master’s thesis, Automation and Robotics, Technical University Dortmund, Germany.Unüberwachte Posenregression von Verkehrsschildern mit Hilfe eines Cycle-Consistent Generative Adversarial NetworksMrosewski, L.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Mrosewski2019, author = {Mrosewski, Leon}, title = {Unüberwachte Posenregression von Verkehrsschildern mit Hilfe eines Cycle-Consistent Generative Adversarial Networks}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {}, year = {2019}, }
Mrosewski, L. (2019). Unüberwachte Posenregression von Verkehrsschildern mit Hilfe eines Cycle-Consistent Generative Adversarial Networks. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.2018
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Storing and retrieving neural sequences in a network model of the hippocampus with spiking neurons and STDPDyck, S.Master’s thesis, Cognitive Science, Univ. of Bochum, Germany
@mastersthesis{Dyck2018, author = {Dyck, Susanne}, title = {Storing and retrieving neural sequences in a network model of the hippocampus with spiking neurons and STDP}, school = {Cognitive Science, Univ. of Bochum, Germany}, month = {October}, year = {2018}, }
Dyck, S. (2018, October). Storing and retrieving neural sequences in a network model of the hippocampus with spiking neurons and STDP. Master’s thesis, Cognitive Science, Univ. of Bochum, Germany.A cascaded convolutional neural network for human pose estimationAl-Dilaimi, S.Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany@mastersthesis{Al-Dilaimi2018, author = {Al-Dilaimi, Saif}, title = {A cascaded convolutional neural network for human pose estimation}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {August}, type = {B.Sc. thesis}, year = {2018}, }
Al-Dilaimi, S. (2018, August). A cascaded convolutional neural network for human pose estimation. Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany.Benzinpreisvorhersage mit rekurrenten Neuronalen NetzenBerner, L.Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany@mastersthesis{Berner2018, author = {Berner, Lukas}, title = {Benzinpreisvorhersage mit rekurrenten Neuronalen Netzen}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {August}, type = {B.Sc. thesis}, year = {2018}, }
Berner, L. (2018, August). Benzinpreisvorhersage mit rekurrenten Neuronalen Netzen. Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany.Spontaneous sequence generation in a neural network model of the hippocampusMatzke, S.Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany@bachelorthesis{Matzke2018, author = {Matzke, Stephan}, title = {Spontaneous sequence generation in a neural network model of the hippocampus}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {August}, year = {2018}, }
Matzke, S. (2018, August). Spontaneous sequence generation in a neural network model of the hippocampus. Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany.Training a `Connect Four′ agent with reinforcement learningSchmidt, M.Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany@mastersthesis{Schmidt2018, author = {Schmidt, Moritz}, title = {Training a `Connect Four′ agent with reinforcement learning}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {August}, type = {B.Sc. thesis}, year = {2018}, }
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