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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.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.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.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}, }Schmidt, M. (2018, August). Training a `Connect Four′ agent with reinforcement learning. Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany.Programmierung eines Arduino Controllers zur Steuerung und Organisation von VerhaltensexperimentenStudenyak, V.Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany@mastersthesis{Studenyak2018, author = {Studenyak, Viktor}, title = {Programmierung eines Arduino Controllers zur Steuerung und Organisation von Verhaltensexperimenten}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {August}, type = {B.Sc. thesis}, year = {2018}, }Studenyak, V. (2018, August). Programmierung eines Arduino Controllers zur Steuerung und Organisation von Verhaltensexperimenten. Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany.Deep Learning for Automated Container Transloading in Port EnvironmentsAlthoff, T.Master’s thesis, Applied Informatics, Univ. of Bochum, Germany@mastersthesis{Althoff2018, author = {Althoff, Tim}, title = {Deep Learning for Automated Container Transloading in Port Environments}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {July }, type = {M.Sc. thesis}, year = {2018}, }Althoff, T. (2018, July). Deep Learning for Automated Container Transloading in Port Environments. Master’s thesis, Applied Informatics, Univ. of Bochum, Germany.Lernen einer Spielstrategie für Minesweeper mittels Deep Reinforcement LearningBrosch, P.Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany@mastersthesis{Brosch2018, author = {Brosch, Pascal}, title = {Lernen einer Spielstrategie für Minesweeper mittels Deep Reinforcement Learning}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {July }, type = {B.Sc. thesis}, year = {2018}, }Brosch, P. (2018, July). Lernen einer Spielstrategie für Minesweeper mittels Deep Reinforcement Learning. Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany.Konzeption einer mobilen Enterprise-Lösung für die durchgängige Nachverfolgung von kritischen Bauteilen im Motorsport bei der Porsche AGFreundt, J. -N.Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany@mastersthesis{Freundt2018, author = {Freundt, Jan-Niklas}, title = {Konzeption einer mobilen Enterprise-Lösung für die durchgängige Nachverfolgung von kritischen Bauteilen im Motorsport bei der Porsche AG}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {July }, type = {B.Sc. thesis}, year = {2018}, }Freundt, J. -N. (2018, July). Konzeption einer mobilen Enterprise-Lösung für die durchgängige Nachverfolgung von kritischen Bauteilen im Motorsport bei der Porsche AG. Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany.Bias Initialization for Convolutional Neuronal NetworksKeil, L.Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany@mastersthesis{Keil2018, author = {Keil, Lennart}, title = {Bias Initialization for Convolutional Neuronal Networks}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {July }, type = {B.Sc. thesis}, year = {2018}, }Keil, L. (2018, July). Bias Initialization for Convolutional Neuronal Networks. Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany.Cascaded Neural Networks for face matchingRöttgers, R.Master’s thesis, Applied Informatics, Univ. of Bochum, Germany@mastersthesis{Röttgers2018, author = {Röttgers, Rainer}, title = {Cascaded Neural Networks for face matching}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {May}, type = {M.Sc. thesis}, year = {2018}, }Röttgers, R. (2018, May). Cascaded Neural Networks for face matching. Master’s thesis, Applied Informatics, Univ. of Bochum, Germany.Schätzung von Objektumrissen mit Convolutional Neural NetworksSosna, S.Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany@mastersthesis{Sosna2018, author = {Sosna, Sebastian}, title = {Schätzung von Objektumrissen mit Convolutional Neural Networks}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {April}, type = {M.Sc. thesis}, year = {2018}, }Sosna, S. (2018, April). Schätzung von Objektumrissen mit Convolutional Neural Networks. Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany.Recognition of Sound Samples Using Convolutional Neural NetworksKülpmann, R.Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany@mastersthesis{Külpmann2018, author = {Külpmann, Robert}, title = {Recognition of Sound Samples Using Convolutional Neural Networks}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {March}, type = {B.Sc. thesis}, year = {2018}, }Külpmann, R. (2018, March). Recognition of Sound Samples Using Convolutional Neural Networks. Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany.Entwicklung eines erweiterbaren grafischen Frameworks für KlassifikationsalgorithmenBönnighausen, N.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Bönnighausen2018, author = {Bönnighausen, Nils}, title = {Entwicklung eines erweiterbaren grafischen Frameworks für Klassifikationsalgorithmen}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {February}, year = {2018}, }Bönnighausen, N. (2018, February). Entwicklung eines erweiterbaren grafischen Frameworks für Klassifikationsalgorithmen. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.Long Short-Term Memory zur Generierung von MusiksequenzenDada, A.Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany@mastersthesis{Dada2018, author = {Dada, Amin}, title = {Long Short-Term Memory zur Generierung von Musiksequenzen}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {February}, type = {B.Sc. thesis}, year = {2018}, }Dada, A. (2018, February). Long Short-Term Memory zur Generierung von Musiksequenzen. Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany.Auxiliary Unsupervised Methods for Deep Reinforcement LearningHakenes, S.@mastersthesis{Hakenes2018, author = {Hakenes, Simon}, title = {Auxiliary Unsupervised Methods for Deep Reinforcement Learning}, year = {2018}, }Hakenes, S. (2018). Auxiliary Unsupervised Methods for Deep Reinforcement Learning.Implementierung und Evaluation einer Methode zur bildbasierten Erkennung von Fahrzeugen und deren Posen mittels kaskadierender EntscheidungsbäumeHegenbarth, J.Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany@mastersthesis{Hegenbarth2018, author = {Hegenbarth, Jens}, title = {Implementierung und Evaluation einer Methode zur bildbasierten Erkennung von Fahrzeugen und deren Posen mittels kaskadierender Entscheidungsbäume}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2018}, }Hegenbarth, J. (2018). Implementierung und Evaluation einer Methode zur bildbasierten Erkennung von Fahrzeugen und deren Posen mittels kaskadierender Entscheidungsbäume. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.Evaluation der Übertragbarkeit monokularer Tiefenschätzungsverfahren mit konvolutionalen neuronalen Netzwerken auf untrainierte AnwendungsdomänenKippert, S.Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany@mastersthesis{Kippert2018, author = {Kippert, Stefan}, title = {Evaluation der Übertragbarkeit monokularer Tiefenschätzungsverfahren mit konvolutionalen neuronalen Netzwerken auf untrainierte Anwendungsdomänen}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2018}, }Kippert, S. (2018). Evaluation der Übertragbarkeit monokularer Tiefenschätzungsverfahren mit konvolutionalen neuronalen Netzwerken auf untrainierte Anwendungsdomänen. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.Applying Budget Maintenance strategy on the Adaptive Coordinate Frequency-Coordinate DescentPendyala, A.@mastersthesis{Pendyala2018, author = {Pendyala, Abhijeet}, title = {Applying Budget Maintenance strategy on the Adaptive Coordinate Frequency-Coordinate Descent}, year = {2018}, }Pendyala, A. (2018). Applying Budget Maintenance strategy on the Adaptive Coordinate Frequency-Coordinate Descent.A neural dynamic model for the perceptual grounding of spatial and movement relationsRichter, M.Doctoral thesis, Fakultät für Elektrotechnik und Informationstechnik, Ruhr-Universität Bochum@phdthesis{Richter2018, author = {Richter, Mathis}, title = {A neural dynamic model for the perceptual grounding of spatial and movement relations}, school = {Fakultät für Elektrotechnik und Informationstechnik, Ruhr-Universität Bochum}, year = {2018}, }Richter, M. (2018). A neural dynamic model for the perceptual grounding of spatial and movement relations. Doctoral thesis, Fakultät für Elektrotechnik und Informationstechnik, Ruhr-Universität Bochum.Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial NetworksSpata, D.Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany@mastersthesis{Spata2018, author = {Spata, Dominic}, title = {Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial Networks}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2018}, }Spata, D. (2018). Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial Networks. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.Sensorbasiertes Parkleitsystem mit Umfelderfassung zur Navigation und Belegungserkennung einzelner ParkplätzeTschentscher, M. P.Doctoral thesis, Electrical Engineering, Ruhr University Bochum, Germany@phdthesis{Tschentscher2018, author = {Tschentscher, Marc Philipp}, title = {Sensorbasiertes Parkleitsystem mit Umfelderfassung zur Navigation und Belegungserkennung einzelner Parkplätze}, school = {Electrical Engineering, Ruhr University Bochum, Germany}, year = {2018}, }Tschentscher, M. P. (2018). Sensorbasiertes Parkleitsystem mit Umfelderfassung zur Navigation und Belegungserkennung einzelner Parkplätze. Doctoral thesis, Electrical Engineering, Ruhr University Bochum, Germany.Entwicklung einer Simulation virtueller Agenten in statischen Umgebungen basierend auf Unreal Engine 4Lüke, K.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Lüke2018, author = {Lüke, Kevin}, title = {Entwicklung einer Simulation virtueller Agenten in statischen Umgebungen basierend auf Unreal Engine 4}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {}, year = {2018}, }Lüke, K. (2018). Entwicklung einer Simulation virtueller Agenten in statischen Umgebungen basierend auf Unreal Engine 4. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.2017
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Tuning tiefer neuronaler Netze mit automatischen Parameter-OptimierernKalus, C.Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany
@mastersthesis{Kalus2017, author = {Kalus, Christopher}, title = {Tuning tiefer neuronaler Netze mit automatischen Parameter-Optimierern}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {December}, type = {M.Sc. thesis}, year = {2017}, }Kalus, C. (2017, December). Tuning tiefer neuronaler Netze mit automatischen Parameter-Optimierern. Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany.Material Recognition with Convolutional Neural Networks