Als Bachelorarbeiten vergeben wir Themen zu Algorithmen und Datenstrukturen und auch dort zur Zeit nur unter der Voraussetzung, dass eine weiterführende Veranstaltung bei uns besucht wurde (AlgoDat Seminar oder AlgoDat Praktikum). Anders können wir die große Nachfrage zur Zeit leider nicht bewältigen.
Abschlussarbeiten im Bereich Neurotechnologie vergeben wir allerdings erst im Master, nach Abschluss einer unserer LV zu diesem Themenfeld.
ErrP-Klassifikation mit Maschinellem Lernen: Stand der Technik und neue Richtungen | Christoph Petrausch (2023) |
Varianten der Monte-Carlo Tree Search für das Brettspiel Gomoku unter Berücksichtigung der sudden win/death Problematik | Katherina Babenkova (2023) |
Exact Approaches for Flood-It: A*, IDA*, a SAT- and ILP-Solver compared | Philipp von Manteuffel (2023) |
Solving Sokoban efficiently: Search Tree pruning techniques and other Enhancements | Niklas Sandhu Peters (2023) |
Solving the Rubik’s Cube: How solving speed can be increased with Pattern Databases | Pete Schimkat (2023) |
Comparing extended Minimax and Monte Carlo tree search for Hawaiian Checkers | Mohamed Shokry (2023) |
Improving the Evaluation Function of the Alpha-Beta Search in the Game of Gomoku | Jonas Baltruschat (2023) |
A Superpixels-based Approach to Finding Shortest Paths in Camera Images | Tom Hersperger (2023) |
Combining MST with Filtering or Superpixels - a Reduced Parameter Approach to Image Segmentation | Florian Klein (2023) |
Comparitive performance analysis of shortest paths algorithms Bellman Ford and Dijkstra and some of their optimizations | Anna Maganakova (2023) |
Vergleich von Optimierungen für den A*-Algorithmus zur Lösung des n-Puzzle: IDA* | Ngoc Cuong Vu (2022) |
Creation of an Anatomical Artefact Atlas based on HArtMuT | Moritz Steffin (2022) |
Implementierung und Evaluation eines effizienten Algorithmus für den optimalen Treffpunkt in gewichteten Graphen | Alexander Linger (2022) |
Heuristische vs. stochastische Suche - Alpha Beta Pruning und Monte Carlo Tree Search im Spiel der Amazonen | Gün Yanik (2022) |
Concept design: Learning game strategy from player knowledge using machine learning and EEG | Philine Görzig (2020) |
n-chip implementation of electrode impedance measurements and methods for simultaneous acquisition of EEG in a mobile device | Till Friebe (2017) |
Machine Learning for Impedance based Head Models | Milena Bagdasarian (2016) |
Untersuchung neuronaler Korrelate von mentalem Workload bei audio-visueller Interferenz | Leah Vauth (2016) |
Intercultural comparison of emotion recognition with EEG — A first attempt | Moritz Schäfer (2016) |
Richtungserkennung auditorischer Aufmerksamkeit im EEG | Marcel Radke (2014) |
Integration of a plotting framework into an existing toolbox for brain-computer interfacing | Hendrik Heller (2014) |
Comparing and Combining Multiple EEG Features in Motor Imagery BCI - A Large Scale Study | Franziska Horn (2012) |
Building robustness against non-stationarity in deep learning-based brain-computer interfaces | Joel Tokple (2023) |
Diagnosis of Schizophrenia from EEG with Deep Neural Networks | Péter Siket-Szász (2023) |
Speech Listening Entails Neural Encoding of Invisible Articulatory Features | Alessandro Corsini (2023) |
High-Performance data acquisition and data analysis of a test bench for a surgical instrument | Maher Sheikhi (2023) |
A case study of the impact of prolonged exposure to the auditory-visual presentation protocol upon the neurophysiological mechanisms (from EEG and ECG data) underpinning mood enhancement | Tianhao He (2022) |
Development and evaluation of methods for the detection of intracranial hemorrhages with functional Near-Infrared Spectroscopy | André Blickensdörfer (2022) |
Electrocerebral Signature of Cardiac Death | Adu Matory (2021) |
Machine learning based detection of deliberately generated artifacts in ERP-BCI experiments | Angelo Groß (2021) |
OM6 report: The influence of neck electrodes on EEG source localization with DIPFIT | Marc Welter (2021) |
Riemannian Manifold Learning Beyond EEG | Gabriel Wagner vom Berg (2021) |
Investigating the the Role of Readiness Potential With the Help of Real-Time Neurofeedback | Vincent Jonany (2020) |
Decoding Happiness from ECoG and Video Data Using Machine Learning | Emil Azadian (2020) |
Methods for long term reliability of a visual evoked potential-based Brain-Computer Interface | Raphael Panskus (2020) |
A classification based Methodology for the evaluation of Neural Probabalistic Language Models | Alexander Moore (2019) |
Deep Learning for Road Network Extraction | Rahul Nagshi (2019) |
Predicting Post-Operative Delirium: A Multivariate Approach | Jannes Schäfer (2019) |
Recurrent Neural Network for 3D Vessel Segmentation | Clara Tabea Strunk (2019) |
Walk the Line: Analysis of Tandem Gait in Neurogenerative Diseases | Hanna Röhling (2018) |
Machine Learning Methods for Mental Workload Classification of Mobile, Low Channel EEG and NIRS data | Felix Bohlmann (2018) |
Exploring complexity measures as EEG features for mental workload classification | Jorge Dusan Haro Gutierrez (2018) |
Assessment of Surrogate Data Methods for Connectivity Analysis in EEG Signals | Hendrik Lüdemann (2017) |
Bio-medical Signal Processing for Classification of Sleepwake stages in a Scope of Internet of Things | Marat Timergaliev (2017) |
Techniques to Deal with Variable Response Times in EEG | Mihail Bogojeski (2017) |
Realistic and Template Head Models for EEG Source Localization | Paul Pawletta (2017) |
A comparative Study of two BCIs and the effect of additional cognitive workload | Elisa Maria Klose (2017) |
Disambiguation of Image Search Results using Eye tracking and EEG based implicit feedback | Jan Eike Golenia (2017) |
Exploring Neural Sources Associated with Memorization in TV Commercials | Erik Mende (2017) |
Explanatory Feedback for User Training in Brain-Computer Interfaces | Julia Schumacher (2017) |
Cooperating Brains: Joint Control of a Dual BCI | Rafael Schultze-Kraft (2017) |
Refining EEG source Localization through Electrical Impedance Measurements | Daniel Miklody (2014) |
A comparative Study of the User Experience with Hybrid BCIs | Romy Lorenz (2017) |
EEG Predictors of Vigilant Attention | Adrien Martel (2017) |