Winter Term 2023/2024
Seminars | Machine Learning Applications |
Summer Term 2023
Lectures | Game Development |
Seminars | Seminar Machine Learning Applications |
Winter Term 2022/2023
Seminars | Machine Learning Applications |
Summer Term 2022
Lab courses | Game Development (Lab course) |
Lectures | Game Development |
Summer Term 2021
Lab courses | Game Development in C# |
Winter Term 2020/2021
Lab courses | Game Development in C# |
Summer Term 2020
Lab courses | Game Development in C# |
Winter Term 2019/2020
Lab courses | Game Development in C# |
Winter Term 2018/2019
Lab courses | Game Development in C# |
Seminars | Master Seminar: Learning and Vision |
Seminars | Selected Topics in Neurocomputing: Learning |
Summer Term 2022
Seminars | Maschinelles Lernen |
Summer Term 2019
Seminars | Bachelor-Seminar Maschinelles Lernen |
Winter Term 2018/2019
Lectures | Artificial Neural Networks |
Summer Term 2018
Seminars | Master Seminar Learning and Vision |
Seminars | Selected Topics in Neurocomputing: Intelligence |
Lectures | Vision in Man and Machine |
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Entwicklung eines Reinforcement Learning Agenten für das Kartenspiel Triple TriadLangenströer, R.Applied Computer Science, Ruhr University Bochum, Germany
@bachelorsthesis{Langenströer2024, author = {Langenströer, René}, title = {Entwicklung eines Reinforcement Learning Agenten für das Kartenspiel Triple Triad}, year = {2024}, }
Langenströer, R. (2024). Entwicklung eines Reinforcement Learning Agenten für das Kartenspiel Triple Triad. Applied Computer Science, Ruhr University Bochum, Germany.2023
Fast object detection for microresonators with machine learning methodsGerk, P.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Gerk2023, author = {Gerk, Patrick}, title = {Fast object detection for microresonators with machine learning methods}, year = {2023}, }
Gerk, P. (2023). Fast object detection for microresonators with machine learning methods. Applied Computer Science, Ruhr University Bochum, Germany.ML basierte Positionierung von Einblendungen in VideospielaufnahmenSchweitzer, T.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Schweitzer2023, author = {Schweitzer, Thorben}, title = {ML basierte Positionierung von Einblendungen in Videospielaufnahmen}, year = {2023}, }
Schweitzer, T. (2023). ML basierte Positionierung von Einblendungen in Videospielaufnahmen. Applied Computer Science, Ruhr University Bochum, Germany.2022
Template Matching for Generic Aiming Behavior with Deep LearningBachert, M.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Bachert2022, author = {Bachert, Marvin}, title = {Template Matching for Generic Aiming Behavior with Deep Learning}, year = {2022}, }
Bachert, M. (2022). Template Matching for Generic Aiming Behavior with Deep Learning. Applied Computer Science, Ruhr University Bochum, Germany.Lernen einer Spielstrategie für das Kartenspiel Triple-TriadBeckers, A.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Beckers2022, author = {Beckers, André}, title = {Lernen einer Spielstrategie für das Kartenspiel Triple-Triad}, year = {2022}, }
Beckers, A. (2022). Lernen einer Spielstrategie für das Kartenspiel Triple-Triad. Applied Computer Science, Ruhr University Bochum, Germany.Procedurally generating biome-based fauna spawn points in the Snowdrop EngineBunkowski, D.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Bunkowski2022, author = {Bunkowski, Daniela}, title = {Procedurally generating biome-based fauna spawn points in the Snowdrop Engine}, year = {2022}, }
Bunkowski, D. (2022). Procedurally generating biome-based fauna spawn points in the Snowdrop Engine. Applied Computer Science, Ruhr University Bochum, Germany.Short-term forecasting of COVID-19 indicators in Germany using supervised machine learning methods on spatio-temporal dataRoller, C.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Roller2022, author = {Roller, Christiane}, title = {Short-term forecasting of COVID-19 indicators in Germany using supervised machine learning methods on spatio-temporal data}, year = {2022}, }
Roller, C. (2022). Short-term forecasting of COVID-19 indicators in Germany using supervised machine learning methods on spatio-temporal data. Applied Computer Science, Ruhr University Bochum, Germany.2021
A Comparison Study of Constraint Handling Techniques in Evolution StrategiesLazaro, R. R.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Lazaro2021, author = {Lazaro, Ricardo Rio}, title = {A Comparison Study of Constraint Handling Techniques in Evolution Strategies}, year = {2021}, }
Lazaro, R. R. (2021). A Comparison Study of Constraint Handling Techniques in Evolution Strategies. Applied Computer Science, Ruhr University Bochum, Germany.2020
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.Creating Song Lyrics using Natural Language Generation - A Comparison of Machine Learning MethodsDettmer, J.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Dettmer2020, author = {Dettmer, Justin}, title = {Creating Song Lyrics using Natural Language Generation - A Comparison of Machine Learning Methods}, year = {2020}, }
Dettmer, J. (2020). Creating Song Lyrics using Natural Language Generation - A Comparison of Machine Learning Methods. 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.2019
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.2018
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.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.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.Predicting the number of incoming groupage shipments using LSTM neural networksVakavchiev, V.Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany@mastersthesis{Vakavchiev2018, author = {Vakavchiev, Vasil}, title = {Predicting the number of incoming groupage shipments using LSTM neural networks}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2018}, }
Vakavchiev, V. (2018). Predicting the number of incoming groupage shipments using LSTM neural networks. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.
Universitätsstr. 150, Building NB, Room 3/32
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