Advised Theses
(If not noted otherwise, supervision is by Ute Schmid)
Present
Amir Moghaddam: Optimising Model Revision through Density Parameter Estimation via Augmented Near Misses and Near Hits for MNIST (MA ISoSyc, Judith Knoblach und Ute Schmid)
Mohammadkazem Vahedi: Machine Learning to Calculate Air-void in X-ray images (MA AI, mit Brose, Judith Knoblach und Ute Schmid)
Yuliia Kaidashova: tba (BA AI)
Uta G?rtner: tba (MA CitH, Bettina Finzel)
Mai Anh Vu: Integrating Large Language Models into Intelligent Tutoring Systems for Basic Arithmetic to Generate Text Exercises and Tailored Feedback (MA CitH, mit AraCom IT Services GmbH)
Normix Hillemann: Automatisierte Themenerkennung in Patienten-Chatbot-Interaktionen (MA CitH, mit Thieme Compliance)
Jonas Schmidt: Comparing Different Fine-Tuning Strategies in Vision Transformer Training for Robust Classification of Facial Expressions (BA WI, Bettina Finzel)
Lukas Gernlein: Explainable interactive maschine learning for tabular data (MA AI, in cooperation with Fraunhofer IIS/CAI, Emanuel Slany)
Philippe Crackau: Examining Image Classifier Decisions Through the Lense of Probabilistic Relational Explanations – Extending the CoReX Framework by Probabilistic Logic Programming (MA CitH, Bettina Finzel)
Past
237. Leonhard Kestel:Tree Vitality Classification from Image Data - A Comparison of Multipectral Index Scores and Deep Learning Approaches (MA CitH, Projekt BaKIM, Jonas Troles)
236. Satyam Pant: Model revision for industrial image data based on near-miss explanation guided augmentation (MA AI, in cooperation with KMU-KI-EZ, Judith Knoblach und Ute Schmid, September 2024)
235. Johannes Langer:A Neuro-symbolic Single-path Approach for Solving Raven's Progressive Matrices (MA CitH)
234.Barbara Blank: Umsetzung von NLP-Methoden für ein Intelligentes Tutorsystem zur Konzeptvermittlung mittels sokratischem Dialog – Erschlie?ung des Themenfelds heimische B?ume für die Grundschule (MA CitH)
233. Christian Dormagen: Inductive Learning of System-level Process Behaviour Explanations - A Hybrid Machine Learning Approach for Process Mining (MA AI, KIGA project, Stephan Scheele)
232. Maren Stümke: Identifying and Overcoming Student’s Misconceptions in Chemistry: An Intelligent Tutoring System to Teach Chemical Equations with Worked-out Analogical Examples (MA CitH, in cooperation with IPN Kiel, Finzel & Schmid)
231. Daniel Gramelt: Explanatory interactive machine learning for welding seam quality assessment (MA AI, in cooperation with Porsche digital, Februar 2024)
230. Jan Adelhardt: Analyzing Model-agnostic Fairness Metrics for Emotion Recognition Models (BA AI, Pahl & Schmid, in coop. with Fraunhofer IIS, December 2023)
229. Adrian V?lker: Integrating Overlays and Rules to Monitor Acquisition of Declarative and Procedural Knowledge within an Intelligent Tutor System for SQL (MA WI, December 2023)
228. Shamim Miroliaei: Exploring Potential Biases in Sequential Data Classification for Hand Gesture Recognition using Layer-wise Relevance Propagation and Cluster Analysis (MA ISoSyc, DFG PainfaceReader, Bettina Finzel, December 2023)
227. Luisa Schneider: The Effects of Similarity in Example Images on Generating Interpretable Pertinent Negatives with CEM (BA AI, Finzel & Schmid, December 2023)
226. Martin Schmei?er: Evaluating methods for transcompiling high-level programming languages (MA AI, in cooperation with Siemens, November 2023)
225. Jonas Amling: Explainable AI for Mixed Data Clustering (MA AI, Fraunhofer IIS/CAI, Stephan Scheele, November 2023)
224. Sonia Simons:Comparative Analysis of U-Net and DeepLabV3+ for Tree Species Classification through Semantic Segmentation of RGB-UAV Imagery (BA Informatik, TU Berlin, Jonas Troles, BaKIM, Oktober 2023)
223. Ferdinand Lang: Effective bloat-free Genetic Programming by Means of neat-GP and Automatically Defined Functions (BA AI, September 2023)
222. Maximilian Bauer: Lernen von rekursiven Funktionen aus Beispielen: Ein Vergleich von Induktiver Funktionaler mit Induktiver Logischer Programmierung?(Learning Recursive Functions from Examples: Comparing Inductive Functional and Inductive Logic Programming, BA AI, September 2023)
221. Philipp Kastrup: Explanatory interactive machine learning: Empirical evidence for positive effects on joint performance and trust (Arbeitstitel, MA 188bet亚洲体育备用_188体育平台-投注*官网, September 2023)
220. Julian Holger Fehr:Explainable Link Prediction in Knowledge Graphs with Text Literals - Enhancing the MINERVA Algorithm with SBERT (MA CitH, Wehner & Schmid, September 2023)
219. Solveig Rabsahl:Exploring the Impact of Scale of Measurement on Counterfactual Explanations (BA AI, in Koop. mit Fraunhofer IIS/HIX, Slany & Scheele, September 2023)
218. Felix Hempel:Explanatory and Interactive Machine Learning with Counterfactual Explanations for Ordinal Data (MA AI, in Koop. mit Fraunhofer IIS/HIX, Slany & Scheele, September 2023)
217. Richard Nieding:Unsupervised Machine Learning via Feature Extraction and Clustering to Classify Tree Species from High-Resolution UAV-based RGB Image Data (MA CitH, BaKIM, Troles & Schmid, August 2023)
216. Alexander Hatzold: Semantic and Syntactic Analogical Reasoning in Large Language Models (LLMs): Effects of Different Types of
Prompting on the Performance of ChatGPT (MA AI August 2023, MA AI)
215. Oraz Serdarov: Explainable Unsupervised Learning for Fraud Detection (August 2023, MA AI, cooperation with HUK-Coburg, Emanuel Slany and Ute Schmid)
214. Sonja Niemann: An Intelligent Tutor System for Recursive Programming – Identifying Different Misconceptions for Helpful Feedback (Juli 2023, MA CitH)
213. Josef Brücklmair: Explainable Text Retrieval -- Assessing Neural Rankers for Text Similarity Through Explanations (MA AI, cooperation with Datev, Ute Schmid and Sebastian Kiefer, Mai 2023)
212. Sven Nekula: Applying Bayesian Structural Time Series to Food Demand Forecasting (MA Survey Statistics, Seitz & Schmid, M?rz 2023)
211. Joshua Simon: Time Series Change Point Detection - Adaptive LSTM-Autoencoders In Comparison To Related State-Of-The-Art Algorithms (MA Survey Statistics, Seitz & Schmid, M?rz 2023)
210. Mareike Müller: Dynamic Fingerspelling Recognition Using Sequential Deep Learning (Arbeitstitel, MA AI, Johannes Rabold und Ute Schmid, Februar 2023)
209. Bianca Zimmer: Explaining Decision Boundaries of CNNs Through Prototypes, Near Hits and Near Misses - A Comparison on Multiclass Medical Image Data Utilizing LRP Heatmaps (MA Survey Statistics, TraMeExCo/PainFaceReader, Finzel & Schmid, Februar 2023)
208. Jasmin Fritz: Prototypical and near-miss explanations for intelligent tutor systems in complex visual domains -- Learning to discriminate plants (MA AI, November 2022)
207. Thomas Sedlmeir:ErkennungundBeschreibungvon Manipulationen in Dokumenten (MA AI, cooperation with ic-solutionGmbH, Emanuel Slany and Ute Schmid, Nobember 2022)
206. Camila Maslaton: Plant Detection and Localization Using Semantic Instance Segmentation (MA CitH, in coop. with IIS/EZRT, Oliver Scholz, November 2022)
205. Patrick Hilme: Verbally Explaining Image Classifications from Relevant Visual Features - Towards Learning Symbolic Structures Using Layer-wise Relevance Propagation and Logic Programming (MA AI, TraMeExCo, Finzel & Schmid, November 2022)
204. Bartu Soyk?k: End to end testing pipeline for Explainable AI models (MA ISoSySc, Christoph Wehner, November 2022)
203. Rebecca von der Grün: Algorithmic Debugging and analogous examples for intelligent tutoring -- An Application to English Grammer Learning (MA CitH, Oktober 2022)
202. Alisa Münsterberg: An Intelligent Tutor System for Computational Thinking -- Identifying Systematic Deviations when Executing Sorting Algortihms (BA AI, October 2022)
201. Louisa Heidrich: Combining Explanatory Interactive Learning and Fair Machine Learning – Interacting with Explanations to Uncover and Reduce Human and Machine Biases (MA CitH, September 2022)
200. Deepika Arneja: Landmark-based Classification of Facial Expressions with a Spatio-Temporal Attention Graph Neural Network (MA SoSySc, TraMeExCo/PainFaceReader, Bettina Finzel, September 2022)
199. Christian Dormagen: Exploiting Complex Relations in Process Discovery -- Applying the Inductive Logic Programming System Aleph (BA WI, Stephan Scheele and Ute Schmid, August 2022)
198. Linda Müller: Geometric Shape Detection in Sheet-Of-Light Generated 3D Data (MA CitH, with Fraunhofer IIS/EZRT Oliver Scholz, July 2022)
197. Laura Ohff: Quantum Reinforcement Learning: Learning Rare Dynamics with Quantum Circuits (BA WI, in coop. with Porsche, Ines Rieger, July 2022)
196. Simon Kuhn: Strategies for Privacy-preserving Classification of Facial Expressions (MA AI, TraMeExCo/PainFaceReader, Finzel & Schmid, July 2022)
195. Felix Schweinfest: Comparing the Performance of Memory Augmented Neural Networks in Reinforcement Learning (MA AI, Sarem Seitz, July 2022)
194. Maximilian Kukla: Unaligned image-to-image translation for 2D/3D registration (MA AI, with Siemens Healthineers, June 2022)
193. Aliya Hammad: Hierachical machine learning for balancing power consumption and predictive accuracy (Arbeitstitel, MA AI, Stephan Scheele und Julio Wi?ing, Fraunhofer IIS, May 2022)
192. Mareike Hoffmann: Erkl?rendes interaktives maschinelles Lernen in der Textklassifikation – Ein modell-agnostischer Ansatz zur semantischen Korrektur (MA CitH, with Datev, Sebastian Kiefer, May 2022)
191. Shireen Iqbal: Identifying Ground Truth in Expert Labeled Customer Order Behavior (COB) Data Using a Web Application (MA ISSS, with Infinion, May 2022)
190. Jeremias Kuhnke: Faire Klassifikatoren durch Re-Weighting versus Re-Sampling -- Ein systematischer Vergleich (BA AI, April 2022)
189. Nina Krob: Eine Multimodale Interaktive Schnittstelle zur Erkl?rung der Klassifikation Hierarchischer und Mehrwertiger Konzepte Basierend auf Logischer Programmierung (MA AI, TraMeExCo/PainFaceReader, Finzel & Schmid, March 2022)
188. Tim B?ckel: Vergleich von herk?mmlichen Texturanalysemethoden mit Methoden des maschinellen Lernens zur lokalisierten Anomalieerkennung (BA AI, with ONTEC, March 2022)
187. Shashidhar Reddy Nimmagari: Topic Classification for Intelligent Support for Requirement Specifications (MA ISSS, with Brose, March 2022)
186. Angelina Wilczewski: Axiom pinpointing for explanatory dialogs (BA WI, Stephan Scheele and Ute Schmid, February 2022)
185. Yannik Ott: An explanatory interactive machine learning approach for image classification in medical engineering (BA Medical Engineering at TH Nuremberg, Emanuel Slany and Ute Schmid, February 2022)
184. Lennart Thamm: Explaining DNNs using ILP with knowledge derived from Deep Taylor Heatmaps?(MA CitH, Rabold & Schmid, January 2022)
183. Gülsah Bauer: Effect of Hyperparameter Optimization on the Semantic Segmentation of Crops (MA CitH, with Fraunhofer IIS/EZRT Oliver Scholz, December 2021)
Die Arbeit wurde 2022 mit dem PUSh-Preis der Universit?t Bamberg ausgezeichnet.
182. Paresh Govindwar: Investigating Data Analytics Approaches for Quality Enhancement in Automotive Component Production (MA ISSS, in cooperation with BMW, Fraunhofer IIS/EKI, Scheele & Schmid, Dez. 2021)
181. Franziska Paukner: Ein intelligentes Tutor-System zum unterstützten Einstieg in die Datenbanksprache SQL (BA WI, November 2021)
180. Aline Leuner: Evaluating Mining Approaches for Categorizing Free Text in Warranty Cases (MA WI, in cooperation with Siemens Valeo, November, 2021)
179. Jan Martin: Applying Structural Analogy to Solve Abstract Reasoning Problems in a More Human-like Way (MA AI, November 2021)
178. avid Jacob: Predicting system idle times of medical imaging systems using log file data (MA AI in cooperation with Siemens Healthineers, November 2021)
177. David Hartmann: Assessing uncertainty for CNN classification -- A case study with histopathology data (MA CitH, in cooperation with Fraunhofer IIS, TraMeExCo, November 2021)
176. Sonja Ruschhaupt: Explaining Image Classifications with Near Misses and Prototypes -- An Application to Facial Expression Analysis (BA AI, TraMeExCo/PainFaceReader, Finzel & Schmid, November 2021)
175. Christoph Wehner: Applying Attribution Methods on a Long Short-Term Memory to Create Interpretable Predictions of Lane-Changing Behaviour (MA CitH, with IBM Watson Center Munich, October 2021)
174. Shweta Suresh Shetty: Irregularity detection in industrial part processing -- A comparison of instance-based and rule-based machine learning approaches (MA ISSS, in cooperation with BMW, Schmid, October 2021)
173. Antonia H?fer: Enhancing the Interactive Machine Learning Companion LearnWithME with Global Constraints for Explanation-based Model Correction (BA AI, Finzel & Schmid, Oktober 2021)
172. Syed Mamoon Ahmed: Techniques for Candidate Selection in the Context of Interactive Machine Learning to Identify Irrelevant Digital Objects -- Realizing a Prototype in Windows Environment (MA ISSS, in collaboration with Brose, September 2021)
171. Maximilian Muschalik: Beyond Contrastive Explanations for Deep Learning Models in Physical Relational Domains (MA WI, Johannes Rabold, September 2021)
170. Bj?rn Sauter: Comparing state of the art machine learning algorithms on time series data (MA WI, in coop. with Fraunhofer IIS/SCS, NIcolas Witt, August 2021)
169. Ploy Valerie Schneider: Counterfactuals as an Approach to Test Fairness in Machine Learning -- And Why Fairness in Machine Learning Affects Everyone (MA CitH, June 2021)
168. Lisa Lengenfelder: Are relations relevant in CNNs - A study based on a facial dataset (BA AI, Rabold & Schmid, April 2021)
167. Namrata Jain: Deep Transfer Learning for Time Series Regression in Chemical Production (MA ISSS, in cooperation with Wacker AG, Finzel & Schmid, February 2021)
166. Jens von der Heide: Exploring the Impact of Class Distributions on Concept Embeddings Generated with Net2Vec (MA WI, Rabold & Schmid, Januar 2021)
165. Dominik Grimme: Comparison of text mining algorithms to select sales opportunities from public procurement notices - Towards an automatic selection toolbox (MA WI, in collaboration with Siemens Advanta (IoT), Schmid & Rabold, Januar 2021)
164. Rene Kollmann: Explaining Facial Expressions with Temporal Prototypes (MA AI, Finzel & Schmid, TraMeExCo, Dezember 2020)
163. Anna Thaler: Effects of Explanations and Incorrect System Behavior on Trust in AI Systems – An Experiment for the Classification of Spatial Configurations in Archeology (BA Psy, Schmid & Rabold, Dezember 2020)
162. Regina Siegers: Vector(s) and the search for happiness: A comparison of constraint-based causal discovery methods on time-series data from multiple contexts with latent variables (MA Survey Statistics, November 2020)
161. Lynn Mosesku: The Influence of Explanations on Trust and Perceptions of Conformity -- A VR Study in Autonomous Driving (BA Psy in coop. mit HS Coburg, November 2020)
160. Michael Fuchs: Towards Fast Interactive Learning with Aleph (BA AI, Finzel & Schmid, November 2020)
159. Andreas Gilson: Segmentation Learning for 3D Plan Models (MA AI, in coop. with Fraunhofer EZRT, Oliver Scholz, November 2020)
158. Robert Wenzel: Automatic Model Selection for Time Series Data (BA WI, in coop, with COSMO Consult Münster, Schmid, Oktober 2020)
157. Jonas Troles: Gender bias in machine translation (MA CitH, Oktober 2020)
156. Jopaul John: Extraction of Information from Images using Autoencoders (MA ISSS, Rabold, September 2020)
155. Louisa Pabst: Conversion of AI Workflow from Convolutional Neural Network to Spiking Neural Network: Network Architecture, Training Process and Accuracy (MA AI, in coop.with BMW group, South Carolina, Schmid & Rabold, August 2020)
154. Christopher Otto: Comparing the Performance of Deepfake Detection Methods on Benchmark Datasets (MA WI, Rabold und Schmid, August 2020)
153. Isabel Saffer: Generierung und Evaluation von kontrastiven Erkl?rungen für die paarweise Klassifikation von Partiell Geordneten Tumorklassen in der Histopathologie (BA AI, Finzel & Schmid, TraMeExCo, August 2020)
152. Thilipkumar Sivakumaran: Predictive Maintenance: Comparison of Machine Learning methods on medical imaging systems using log file data to forecast X-Ray tubes system failures (MA Survey Statistik in coop. with Siemens Healthineers, Tobias Hipp, August 2020)
151. Ronja Pfeiffer: On the way to a green factory: Investigation of energy consumption data for energy efficient optimization (MA CitH, in coop. with BSH Hausger?te Gmbh München, August 2020)
150. Ilona Buric: Exploring the Contrastive Expalantions Method CEM for Fashion MNist (MA AI, Rabold & Schmid, August 2020)
149. Beatrix Augustin: State-of-Charge Estimation Including Uncertainty Analysis -- Combining the Information from Charging Profiles and Voltage Relaxation During Pauses Using Neutral Networks (MA Survey Statistics, in coop with Fraunhofer Institut für Verkehr und Infrastruktur IVI, July 2020)
148. Andre Hartmann: Explainable Reinforcement Learning for User-adaptive In-car Infotainment Systems (MA AI, in coop. with Porsche, Schmid & Rabold, July 2020)
147. Patrick Amondarian: Sequence Learning for Medical IoT Data for Predictive Maintainance (MA WI, in coop. with Siemens Healthineers, Tobias Hipp, Gromowski & Schmid, July 2020)
146. Nina Krob: Ausdrucksst?rke und Effizienz in der Generierung von Erkl?rungen: Vergleich von Association Rule Mining und Induktiver Logischer Programmierung für interpretierbare Klassifikation von Schmerz (BA AI, Finzel & Schmid, TraMeExCo, July 2020)
145. Jasmin Fritz: Application of LIME for Transparent Pedestrian Detection (BA AI, Rabold, June 2020)
144. Clemens Bartnik: A Comparison between Visual Saliency Maps of Convolutional Neural Networks and those of Human Beings -- A Study on Facial Expression Recognition (MA Psy, May 2020)
143. Malte Büttner: The Role of Local Versus Global Features in Convolutional Neural Networks: A Comparison of State of the Art Architectures (MA AI, Rabold & Ute Schmid, May 2020)
142. Alexis Thomas: Investigating Explanatory Graphs to Make CNN Classifications Transparent (MA International Software System Science, Johannes Rabold & Ute Schmid, March 2020)
141. Jonas Amling: Explaining Text Classification Decisions with LIME -- Topic-based versus Random Input Manipulation (BA AI, Bruckert & Schmid, March 2020)
140. Sascha Riechel: Meta-Learning Character Recognition on Trajectories from Optical and Inertial Sensors (MA AI, in collaboration with Fraunhofer IIS/LA, January 2020)
139. Kristina Prümer: A Cognitive Tutor Generating Error-Specific Feedback for English Grammar Learning (MA CiTH, December 2019)
138. Manuel Dumdey: Untersuchungen zum Einsatz von Methoden des probablistischen Programmierens für Intelligente Künstliche Spiele-Agenten?(Investigating the use of probabilistic programming in Game AI, MA AI, November 2019)
137. Bettina Finzel: Explanation-guided Constraint Generation for an Inverse Entailment Algorithm (MA AI, TraMeExCo, Sept. 2019)
136. Lisa Schatt: Erkl?rungsgenerierung für Irrelevanz-Klassifikationen in Dateisystemen (MA AI, Siebers & Schmid, Dare2Del, Sept. 2019)
135. Hannah Deininger: Inductive Logic Programming Theories as Explanations for Image Classification: How Number and Semantic Distance of Contrasting Classes Influence Explanation Complexity (MA CitH, Rabold & Schmid, July 2019)
Die Arbeit wurde 2020 mit dem PUSh-Preis der Universit?t Bamberg ausgezeichnet.
134. Daniel Sch?fer: Comparing feature-based, sequential, and logic machine learning approaches for trajectory mining (MA AI, July 2019)
Finalist im MINT Award IT 2019 - NEXT GENERATION MOBILITY von audimax MEDIEN, https://www.mint-award-it.de/
133. Krist Fama: A Learning ChatBot -- Incremental Learning for Advice-Giving (MA AI in coop with Institut f. Rehabilitationsforschung, S. Dibbelt, Siebers und Schmid, July 2019)
132. Simon Kuhn: Identifying Near Misses for Relational Concepts with Graph Matching – Explaining Classifier Decisions of Facial Expressions (BA AI, Finzel & Schmid, July 2019)
131. Simon Hoffmann: Comparing Non-Pretrained Deep Learning Architectures for Subcellular Protein Pattern Classification in Confocal Microscope Images (MA CitH, Rabold & Schmid. May 2019)
130. Mohammad Al-Hiti: Evaluation von Methoden des Maschinellen Lernens für die
Induktion strukturell komplexer probabilistischer Regeln (Evaluation of Machine Learning Methods for the
Induction of Structurally Complex Probabilistic Rules; MA AI, Dare2Del, Siebers & Schmid, April 2019)
129. Julius Mehringer: Evaluating Machine Learning Apporaches for Improving Long Term Forecasts for Many Spare Parts (MA Survey Staistics, with Fraunhofer IIS Nuremberg, March 2019, Sperrvermerk)
128. Ludwig Schallner: Effekt verschiedener Methoden zur Generierung von Superpixeln auf die visuellen Erkl?rungen von LIME (in collaboration with Fraunhofer IIS/EZRT, MA AI, March 2019)
127. Felix Hitzler: Reinforcement Learning to Evaluate Different Branching Heuristics for Constraint Satisfaction Problems (MA CitH, in Kooperation mit CAS Software AG, March 2019)
126. Andreas Wiegand: Rekonstruktion von 3D-Modellen mit Generative Adversarial Networks (collaboration with Fraunhofer IIS/EZRT, MA AI, March 2019)
125. Nataliia Plotnikova: Application of Neuronal Network for Irradiance Prediction for Solar Plants (MA AI, with Siemens AG, Rabold & Schmid, March 2019, Sperrvermerk)
Die Arbeit wurde 2019 mit dem PUSh-Preis der Universit?t Bamberg ausgezeichnet.
124. Maximilian Kukla: Exploring an Approach for Semi-automatic Tuning of an X-ray Scanner (BA AI, joint with Siemens Health Care, Dec. 2018)
123. Harshit Gupta: Explanation Generation from Reasoning Traces (MA IntSoSySci, Dare2Del, Siebers & Schmid, Dec. 2018)
122. Johannes Rabold: Enriching LIME with Inductive Logic Programming: Explaining Deep Learning
Classifiers with Logic Rules in a Companion System Framework (MA AI, Oct. 2018) [pdf]
121. Adrian Schwaiger: Statistical Relational Learning -- Comparing RelNNs and CNNs (MA AI, Sept. 2018) [pdf]
120. Florence Rat: Infering Task Context from User Interactions (MA CitH, Dare2Del, Siebers & Schmid, Sept. 2018) [pdf]
119. Sebastian Seufert: Applying inductive prgoramming to bidiectional transformation (Arbeitstitel, with Janis Voigtlander, Uni Duisburg-Essen, BA WI, Sept. 2018) [pdf]
118. Feras Barmo: Exploration l?ngsschnittlicher Zusammenh?nge von Pers?nlichkeitsvariablen und Lebensdaten mit Methoden des maschinellen Lernens (MA CitH, in Kooperation mit Astrid Schütz, Pers?nlichkeitspsychologie, September 2018) [pdf]
117. Katharina Weitz: Applying Explainable Artificial Intelligence for Deep Learning Networks to Decode Facial Expressions of Pain and Emotions (in collaboration with Frauhofer IIS, Intelligent Systems, Teena Hassan & Ute Schmid, MA CitH, August 2018) [pdf]
116. Katharina Weitz won the Best Paper Award Forum Bildverarbeitung 2018 with a contribution based on her thesis. Katharina Weitz war Finalistin im Science Slam des Zentrums Digitalisierung Bayern.
115. Johannes Burr: Trust in AI Systems -- How do Explanations and Perceived System Errors Influence Trust (BA Psy, in Kooperation mit Astrid Schütz, August 2018) [pdf]
114. Michael Gro?: Exploring Deep Learning for Relational Domains -- A Case Study with Michalski Trains (MA AI, August 2018) [pdf]
113. Sonja Grünauer: Human-understandable relational learning -- An empirical investigation about comprehensible machine learning (BA AI, August 2018) [pdf]
112. Sven Weinzierl: Automatisierung der Einzelpositionserkennung für Eingangsrechnungen mit Klassifikationsalgorithmen des Maschinellen Lernens (MA WI, joint with Datev, June 2018, Sperrvermerk)
111. Matthias Delfs: Forecasting in the Supply Chain with Machine Learning Techniques (MA CitH, joint with Siemens Healthineers, June 2018) [pdf]
110. Matthias Delfs wird mit dem ITCO Absolventenpreis 2019 ausgezeichnet.
109. Martin Hillebrand: Learning What is Relevant –– Comparing Icremental and Batch Strategies of Inductive Logic Programming (BA AI, Dare2Del, Siebers & Schmid, June 2018) [pdf]
108. Martin Hillebrand received the Centron Award for the best BA of the faculty in 2018.
107. Lea-Loisa Maa?: Lernen regul?rer Ausdrücke aus wenigen Nutzerinteraktionen für intelligentes Ersetzen in Texten (Learning Regular Expressions from a Small Sample of User Interactions for Intelligent Replacements in Text Documents, MA AI, April 2018) [pdf]
106. Ines Rieger: Head Pose Estimation Using Deep Learning (with Fraunhofer IIS, MA CitH, April 2018) [pdf]
105. Andreas Foltyn: Towards automated segmentation of plants -- An exploration of deep neural networks for leaf isolation in agricultural crop (with Fraunhofer IIS/EZRT, MA WI, March 2018) [pdf]
104. Katharina Pflügner: Technostress: An empirical analysis of protective factors for employee well-being in the job demands-resources model (MA Psy, with Christian Maier, WI, March 2018)
103. Tobias Hecht: Context Aware Robot Assistance -- Applying Reinforcement Learning to Make Pepper Offer Help to a Human Memory Player (MA AI, January 2018) [pdf]
102. Michael Glasunov: Estimating Hidden Markov Model topologies by feature vector based machine learning algorithms (BA AI, supervision by Siebers, Schmid, January 2018) [pdf]
101. Marco Dorner: Ein lernbasierter Companion-Ansatz zur Transformation von semi-strukturierten in strukturierte Daten -- Systematische Evaluation der FlashMeta Technologie (A learning based companion approach for the transformation of semi-structured into structured data -- Systematic evaluation of the FlashRelate Technology, MA AI, December 2017) [pdf]
100. Eva Klein: Machine Learning for Quality Prediction in Connected Industry (MA CitH, in collaboration with Bosch Bamberg, November 2017, Sperrvermerk)
99. Philip Dahnen: Extending EasyIgor to Integrate Background Knowledge (external BA Computer Science, FH Dortmund, September 2017) [pdf]
98. Jonas Troles: Merkmalsbasiertes versus relationales Lernen -- Ein Expertiment mit der Michalski-Train Domain (BA Psy, Zeller & Schmid, August 2017) [pdf]
97. Johannes Birk: Merkmalsbasiertes versus relationales Lernen -- Ein Expertiment mit der Michalski-Train Domain (BA Psy, Zeller & Schmid, Augsut 2017) [pdf]
96. Rambabu Gupta: Applying Deep Learning for Classifying Images of Hand Postures in the Rock-Paper-Scissors Game (MA International Software Systems Science, supervision by Zeller, Schmid, August 2017) [pdf]
95. Frederic Birnbaum: Einsatz von Data Mining zur Prozessanalyse und Qualit?tsverbesserung in einem Industrie 4.0 Produktionsprozess (MA WI, in collaboration with Bosch Bamberg, Juni 2017, Sperrvermerk)
94. Philip Wallh?user: Klassifikationslernen zur effektiven Personalisierung von Off-Site Displaywerbung (MA CitH, in collaboration with Otto Hamburg, Mai 2017, Sperrvermerk)
93. Mark Gromowski: Extending Hidden Markov Models to Set-Valued Observations: A Comparison of Different Approaches on Sequences of Facial Expressions (MA CitH, supervision by Michael Siebers, April 2017) [pdf]
92. Maike Wolking: Empirische Evaluation der Experimentierkiste Informatik -- Mentale Modelle, Berufswünsche und der erste Erwerb von Informatikkonzepten im Elementarbereich (Empirical evaluation of the computer science experimenter’s kit - Mental models, career aspirations and the acquirement of basic concepts of computer science in elementary education, MA Pedagogic, with Frithjof Grell, FELI research group, April 2017) [pdf]
91. Marina Jobst: Sequence-based prediction of purchase intention based on clickstream data (MA AI, in collaboration with empiriecom, non disclosure, Siebers & Schmid, April 2017)
90. Marina Jobst received the Centron Award for the best MA of the faculty in 2017/2018.
89. Maria Jobst wurde mit dem ITCO Absolventenpreis 2018 ausgezeichnet.
88. Sophie Vollmar: Welche Einflussfaktoren wirken auf die Arbeitszufriedenheit im IT-Bereich?
Ein Vergleich der Geschlechter (BA Sociology, second advisor with Silvia F?rtsch, first advisor: Sandra Buchholz, November 2016)
87. Johannes Rabold: Exploring Deep Learning for Image Data -- Effort and Performance For Learning a Classifier for Facial Expressions of Pain (BA AI, supervision with Teena Hassan and Dominik Seuss, Fraunhofer IIS, September 2016, non disclosure)
86. Simon Schiesser: Automatische Konfiguration von Parametern für ein System zur Qualit?tsprüfung mit Partikelschwarmoptimierung (BA WI, in cooperation with Fraunhofer IIS, August 2016, Sperrvermerk)
85. Michael Gro?: Der Einfluss unterschiedlicher Auspr?gungen von Verantwortlichkeiten auf die Probleml?se-Effizienz in einem Multi-Agenten Szenario -- Automatische Erzeugung und empirische Evaluation von Szenarien (The Impact of Responsibility Distributions on Problemsolving Efficiency in a Multi-Agent Scenario -- Automated Generation of Scenarios and Empirical Evaluation; BA AI, July 2016, Siebers & Schmid) [pdf]
84. Christian Teichmann: Ego-Perspective Simulation of Moral Dilematta and Identification of Behavioral Predictors of Moral Decisions (MA CitH, in cooperation with General Psychology, April 2016) [pdf]
83. Mike Imhof: Classification of ERP Components with Imbalanced Datasets -- A Comparison of Linear Discriminant Analysis and Logistic Regression (April 2016, MA CitH, in cooperation with Cognitive Psychology) [pdf]
82. Tim Rütermann: Automatische Konstruktion von unscharfen Regelmengen -- Konzept und Realisation eines interaktiven regelbasierten Klassifikationssystems zur Bestimmung des Gesundheitszustands von Pflanzen (automated construction of fuzzy rule sets -- development and realization of an interactive rule-based classification system for determining the health status of plants, BA AI, in cooperation with Fraunhofer IIS, Siebers & Schmid, March 2016) [pdf]
81. Lea-Louisa Maa?: Ein webbasiertes Frontend zur einfachen Interaktion mit dem induktiven Programmiersystem Igor -- Inferenz von Konstruktor-Termen aus Beispielen und interaktives Testen der erzeugten Programme (A Webbased Frontend for Easy Interaction with the Inductive Programming System Igor -- Inference of Constructor Terms from Examples and Interactive Testing of Generated Programs, March 2016, BA AI) [pdf]
80. Martin Hillebrand: Cognitive complexity of number sequence completion tasks -- Formal analysis and empirical investigation (BA 188bet亚洲体育备用_188体育平台-投注*官网, Februar 2016) [pdf]
79. Fabian H?pfel: Applying the Inductive Programming System IGOR to FlashFill-Style Enduser Programming (BA AI, September 2015) [pdf]
78. Tobias Jakubowitz: The impact of cognitive style on perceived naturalness of human-robot interaction -- A User-Study with NAO (BA Psychology, September 2015) [pdf]
77. Max Günther: Parameters Influencing Success in Analogical Transfer: Investigating the Effects of Structural and Featural Oberlap in Humans and LISA (BA 188bet亚洲体育备用_188体育平台-投注*官网, September 2015) [pdf]
76. Alexandra Rohm: Emotionale Avatare -- Evaluation von Reihefolgeneffekten bei Gesichtsausdrücken (Emotional Avatars -- Evaluation of Sequence-Effects in Facial Expressions, BA AI, Dominik Seu? & Ute Schmid, BA AI, August 2015) [pdf]
75. Christina Zeller: Automatische Erzeugung analoger Beispiele aus Debugging-Traces -- Konstruktion von Rückmeldungen für ein Intelligentes Tutor-System zur schriftlichen Subtraktion (Automated Generation of Analogous Examples from Debugging Traces -- Feeback Construction for an Intelligent Tutor System for Written Subtraction , MA CitH, July 2015) [pdf]
Die Arbeit wurde 2016 mit dem PUSh-Preis der Universit?t Bamberg ausgezeichnet.
74. Norman Steinmeier: Evaluation der Güte eines Partikelschwarm-Algorithmus zur Funktionsapproximation (Evaluating the Accuracy of a Particle Swarm Algorithm for Function Approximation , Siebers & Schmid, MA AI, June 2015) [pdf]
73. Sebastian Boosz: Applying Anti-Unification Strategies For Matching and Generalization of Recursive Functions -- Investigating a Second-order Approach with Commutativity for Learning from Examples (MA AI, March 2015) [pdf]
72. Frederic Ehmann: Künstliche Intelligenz in Computerspielen: Lernen von Handlungsstrategien eines autonomen Agenten am Beispiel eines Jump N Run Computerspiels (Artificial Intelligence in Computer Games: Learning Action Strategies for an Autonomous Agent in a Jump N Run Computer Game, Siebers & Schmid, MA AI, March 2015) [pdf] [Nachtrag S. 38]
71. Martina Milovec: Applying Inductive Programming to Solving Number Series Problems -- Comparing Performance of Igor with Humans (MA AI, Sept. 2014) [pdf]
70. Alexander Werner: Learning with episodic remindings -- A case-based reasoning system for R (Lernen mit episodischen Beispielen -- Ein case-based reasoning System für R, BA AI, Sept. 2014) [pdf]
69. Silvia F?rtsch: Geschlechterdisparit?ten in Selbstkonzepten am Beispiel von Informatikern und Informatikerinnen. Empirische Ergebnisse aus dem Projekt Alumnae Tracking (July 2014, MA Empirische Bildungsforschung)
68. Ioulia Kalpakoula: Shall we build a tower together? A study of human-robot interaction with the humanoid robot NAO (BA AI, May 2014) [pdf]
67. Tina K?mmerer: Collaborative Strategies for Distributed Problemsolving -- A Treasure Hunt Games with Intelligent Communicating Agents (BA AI, March 2014) [pdf]
66. Claudia Buhl (geb. Fischer): Anwendung von Methoden des Maschinellen Lernens im Kontext der Simulation reaktiver Str?mungen (MA AI, in cooperation with BTU Freiberg, Siebers & Schmid, March 2014) [pdf]
65. Daniel Winterstein: Heuristische Strategien für Vier Gewinnt: Entwicklung, Umsetzung und Bewertung eines autonomen Agenten im Rahmen eines Computerspiels (BA AI, Februar 2014) [pdf]
64. Johannes Folger: Classification of Facial Expressions of Pain from Video Streams (MA AI, Februar 2014, Siebers & Schmid) [pdf]
63. Dorothea Knopp: Transfer und Schemainduktion beim analogen Schlie?en: Ein Experiment im Bereich Kombinatorik (BA 188bet亚洲体育备用_188体育平台-投注*官网, Februar 2014) [pdf]
62. Alexander Werner: F?rdern episodische Beispiele Abbildung und Transfer beim analogen Probleml?sen? -- Episodische Erinnerungen beim Erlernen von R (Diplom 188bet亚洲体育备用_188体育平台-投注*官网, Januar 2014) [pdf]
61. Andre Kowollik: Mensch-Roboter Interaktion in gestenbasierten Zweipersonenspielen: NAO spielt Schere, Stein, Papier! (MA Inf, Uni Erlangen, Januar 2014, Betreuer Erlangen: Lutz Schr?der) [pdf] [Video]
60. Matthias Düsel: Semantisches Matching von Freizeitaktivit?ten mittels Wikipedia-basierter Kategorisierung (MA AI, Dezember 2013) [pdf]
59. Christian Rei?ner: Researching heuristic functions to detect and avoid dead ends in action planning (MA AI, Siebers & Schmid, Dezember 2013) [pdf]
58. Simone Schineller: A hierarchical approach for classifying pain and disgust by aggregation over facial regions (MA AI, Siebers & Schmid, Dezember 2013) [pdf]
57. Robert Terbach: Case-Based Cooking: A semantic similarity-based approach for retrieval and adaptation of recipes for lists of ingredients (BA AI, September 2013) [pdf]
56. Christoph Stocker: Amodel-based prediction of plant growth: Drought stress level classification of tobacco plants (in Kooperation mit Fraunhofer IIS, MA CitH, September 2013, Siebers & Schmid) [pdf]
55. Norman Steinmeier: Training eines humanoiden Roboters durch best?rkendes Lernen eines simulierten Agenten -- NAO lernt Tore schie?en (BA AI, September 2013) [pdf]
54. Johanna Steinbrink: Personenspezifisches versus -unspezifisches Training zur Erkennung von Schmerz aus dem Gesichtsausdruck (BA 188bet亚洲体育备用_188体育平台-投注*官网, August 2013) [pdf]
53. Stefan Betzmeir: Inducing Structural Prototypes for the Classification of Semi-Structured Data (MA WI, Juni 2013) [pdf]
52. Christian Massny: Chess training by individual error classification (MA WI, April 2013) [pdf]
51. Elke Heidel: Empirische Usability Evaluation von drei Nutzerführungsvarianten für ein Assistenzsystem zur technischen Dokumentation (BA AI, M?rz 2013) [pdf]
50. Alexander Str?tz: Ein regelbasierter Ansatz zur Induktion von Zahlenreihen (BA AI, M?rz 2013) [pdf]
49. Dominik Seu?: Charakterisierung mentaler Zust?nde durch Sequenzen mimischer Ausdrücke -- Ein Vergleich verschiedener Lernverfahren am Beispiel Schmerz (Betreuer: Michael Siebers und Ute Schmid, MA AI, M?rz 2013) [pdf]
48. Johannes Wicht: Entwicklung eines Systems zur Erkennung von Eskalationen in der Assist-Datenbank (in Kooperation mit Siemens Industry Customer Services, MA AI, M?rz 2013) (Sperrvermerk)
47. Tamara Engelbrecht: Beeinflusst die Reihenfolge mimischer Elemente die Klassifikation von Gesichtsausdrücken? - Eine Studie mit dem Avatar Embr (Does sequence of mimical expressions influence classification? -- A Study with the avatar Embr, BA AI, M?rz 2013) [pdf]
46. Jürgen Gegenfurtner: Entwurf und Umsetzung einer Nutzerführung für das Finden von Mobilit?tspartnerschaften basierend auf Aktivit?ts-Matching sowie r?umlichen, zeitlichen und individuellen Constraints (BA WI, BMBF-Projekt EMN-Moves, M?rz 2013) [pdf]
45. Jacqueline Hofmann: Automatische Induktion über Zahlenreihen -- Eine Fallstudie zur Analyse des induktiven Programmiersystems IGOR2 (Automated induction of number series -- A case study analysing the inductive programming system IGOR2, BA AI, Dezember 2012) [pdf]
44. Matthias Linhardt: Konzeption und exemplarische Ausführung eines Assistenzsystems für ein Content-Management-System (in Kooperation mit docufy, Master CitH, November 2012) [pdf]
Die Arbeit wurde mit dem ITCO Absolventenpreis 2013 ausgezeichnet.
43. Lukas Berle: Matching natural language activity descriptions by using self-expanding ontologies -- An application to support mobility of elderly people (BA WI, BMBF-Projekt EMN-Moves, September 2012) [pdf]
42. Tobias Kaiser: Ein kognitives Modell des impliziten und expliziten Lernens symbolischer und graphischer künstlicher Grammatiken in ACT-R (A cognitive model for implicit and explicit learning of symbolic and graphic artificial grammars using ACT-R. BA AI, September 2012) [pdf] [model string] [model 2D] [model 2DMotor]
41. Frederic Ehmann: Künstliche Intelligenz in Computerspielen: Ein regelbasiertes System für ein Jump n Run Computerspiel (BA AI, September 2012, Betreuer: Michael Siebers und Ute Schmid) [pdf]
40. Tobias Schnell: Ein adaptiver Ansatz zur Informationspr?sentation mittels Programming by Demonstration Techniken -- Entwicklung eines Prototyps für das Facility Management (An adaptive approach for information presentation based on programming by demonstration (in Kooperation mit ebkon, BA AI, September 2012) [pdf]
39. Johannes Folger: Comparing Automated Pain Classifiers with Human Performance (BA AI, September 2012, Betreuer: Michael Siebers) [pdf]
38. Peter Grossmann: Lisa wird moralisch -- Erweiterung des Analogie-Systems LISA zu einem kognitiven Modell moralischer Entscheidungen (MA AI, Juli 2012) [pdf]
37. Markus Wachter: Analysing Visual Appearance by Featural and Relational Similarity – How Different Are Smartphones? (Master AI, Juli 2012) [pdf]
36. Michael Munz: Kognitive Modellierung zum analogen Schlie?en beim komplexen Probleml?sen - K?nnen AvA, LISA und SME Schachprobleme l?sen? (Master AI, M?rz 2012) [pdf]
35. Christoph Sonnenberg: Schema-Generalisierung beim analogen Probleml?sen -- Mit welchen Lehrmaterialien erwirbt man am effektivsten L?sungsprinzipien im Schach? (Diplom 188bet亚洲体育备用_188体育平台-投注*官网, November 2011) [pdf]
34. Jens Marshall: Vergleich von Verfahren zur automatischen Emotionserkennung zur Bewertung von Werbema?nahmen (Bachelor WI, November 2011) [pdf]
33. Robert Pollack: An intelligent E-learning system for beginner programming -- Using analogical reminders for error classification and explanation (Master Wip?d/WI, November 2011) [pdf]
32. Matthias Düsel: Active Appearance Models zur automatischen Annotation von Gesichtsausdrücken in Bildern (Bachelor AI, September 2011, Betreuer: Michael Siebers) [pdf] [javaTool]
31. Simone Schineller: Global versus Individual Classification of Pain-- Identifying Standard and Non-Standard Mimic Types Based on Similarity of Individual to Global Decision Trees (Bachelor AI, September 2011, Betreuer: Michael Siebers) [pdf]
30. Dominik Seu?: Mining von zeitlichen Abfolgen -- Vorhersage von Schmerz aus Folgen mimischer Ausdrücke (Bacherlor AI, September 2011, Betreuer: Michael Siebers) [pdf]
29. Matthias S?llner: Integration von kategorialer und r?umlicher Informationen für einen quartiersbezogenen Match-Making Service (Bachelor AI, September 2011) [pdf]
28. Michael Siebers: Feature Selection and Classifier Learning to Identify Pain in Facial Expressions (Bachelor AI, April 2011) [pdf]
27. Christophe Quignon: Usability-Konzeption einer Web-Applikation im Bereich Content Management Systeme (CMS, Bachelor AI, in cooperation with Docufy, April 2011, Sperrvermerk)
Die Arbeit wurde mit dem ITCO Absolventenpreis 2011 ausgezeichnet.
26. Mark Wernsdorfer: Emergence of Meaning from a Stream of Experience -- Grounding Symbols by Consequences and Intentions (Bachelor AI, December 2010) [pdf]
25. Marius Raab: The Good, the Bad, and the Regular -- Adopting the Analytical Inductive Programming System IGOR for an Autonomous Agent?s Intentional Cognitive System and his Categorized Stream of Experience (Bachelor AI, December 2010) [pdf]
24. Michael Albert: Evaluierung von konstruierten und biologisch inspirierten Kollaborationsstrategien in Multi-Roboter-Umgebungen am Beispiel des Khepera II Roboters (Master AI, November 2010) [pdf]
23. Stefan Betzmeir: Lernen von Prototypen über Baumstrukturen -- Entwicklung und Evaluation eines Verfahrens zum Structural Incident Mining (Bachelor WI, Oktober 2010) [pdf]
22. Michael Siebers: Classifying Pain vs. Neutral vs. Disgust on the Basis of Facial Expressions -- Human vs Machine (Diplom 188bet亚洲体育备用_188体育平台-投注*官网, August 2010) [pdf]
21. Thorsten Spieker: Decision Making in Hostile Environments with Incomplete Information -- An Application of Reward-Based Learning for Monetary Decisions (Bachelor WI, August 2010) [pdf]
20. Stefan Reisinger: Simulationsgestützte Aufnahmeplanung in der industriellen Computertomographie (Master AI, in Kooperation mit EZRT, Fraunhofer IIS, M?rz 2010) [Sperrvermerk]
19. Thomas Wunder: Identifikation und Visualisierung rhythmischer Abweichungen. Entwurf, Umsetzung und Evaluierung eines Trainingssystems für den Schlagzeugunterricht (Bachelor AI, M?rz 2010) [pdf]
18. Michael R?ther: Nutzer-zentrierte Erweiterung und Evaluation eines Online-Dokumentationssystems (Bachelor AI, Februar 2010) [pdf]
17. Gaby Streffing: Lebensqualit?t und Selbst?ndigkeit im eigenen h?uslichen Bereich bei Demenz-Krankheiten erhalten. Eine Vergleichsstudie zur Erfassung von Einstellungen zu technischen Hilfsmitteln (Diplom 188bet亚洲体育备用_188体育平台-投注*官网, Januar 2010) [pdf]
16. Thomas Hieber: Example-driven Programming -- A Tool for Automated Method Induction in Eclipse Based Environments (Bachelor AI, M?rz 2009, Betreuer: Emanuel Kitzelmann) [pdf]
15. Alexey Kosukho: Wissenstransfer mittels Case-Based Reasoning auf semantischen Graphen in der Praxis von Business Consulting (Bachelor WI, M?rz 2009) [pdf]
14. Florian Bader: Mining Incident Reports for Automated Generation of Support Messages (Master WI, externe Arbeit bei SAP, M?rz 2009) [Sperrvermerk]
13. Marius Raab: Psi-Dement -- Eine Computersimulation zur Bewertung von Lebensgeschichte und Lebenswirklichkeit von Menschen mit Demenz aus der Sicht eines funktionalen Modells der theoretischen 188bet亚洲体育备用_188体育平台-投注*官网 (Diplom 188bet亚洲体育备用_188体育平台-投注*官网, Februar 2009) [pdf]
12. Neil Crossley: Analytical preprocessing for evolutionary inductive programming (Master Angewandte Informatik) (Januar 2009)
11. Andreas Siemon: Segmentierung von Erythrozyten und Merkmalsextraktion zur automatisierten Erstellung des roten Blutbilds (Master Angewandte Informatik) (August 2008) [pdf]
10. Markus Schwarz: Usability in Browser Games - Design and Evaluation of a City Development Simulation(Diplom Wirtschaftsp?dagogik mit Schwerpunkt Wirtschaftsinformatik) (Juni 2008) [pdf]
9. Maik Friedrich: Implementing diagrammatic reasoning strategies in a high level language: Extending and testing the existing model results by gathering additional data and creating additional strategies (Master Angewandte Informatik, in cooperation with Frank Ritter, Applied Cognitive Science Lab, School of Information Sciences and Technology, Penn State University) (April 2008) [pdf]
8. Thomas Hecker: Automating Quality Control in Manufacturing Systems - Conmbining Knowledge-Based and Rule Learning Approaches (in cooperation with Fraunhofer IIS; Master Wirtschaftsinformatik) (Oktober 2007)[pdf]
7. Peter Wullinger: Transforming temporal complex into temporal simple planning problems (Master Angewandte Informatik, in Kooperation mit Ulrich Scholz, European Media Laboratory GmbH , Heidelberg) (September 2007)[pdf]
6. Martin Hofmann: Automated Generation of Recursive XSL-Templates from Demonstration -- An Inductive Programming Approach (Diplom Wirtschaftsinformatik) (September 2007) published under the same title at VDM Verlag. The fancy glossy version is available from amazon.de, the cheaper pdf from here ;-).
5. Andreas Hirschberger: Collaborative Distributive Problem Solving for Multi-Object Recovery in Unexplored Environments - A Map Learning and Sharing Approach (Master Angewandte Informatik) (Juli 2007)[pdf]
4. Eva Wiese: "So viel wie n?tig" oder "so viel wie m?glich"? Inferenz und Schemageneralisierung beim analogen Schliessen (Diplomarbeit 188bet亚洲体育备用_188体育平台-投注*官网) (August 2007)[pdf]
Die Arbeit wurde 2008 mit dem PUSh-Preis der Universit?t Bamberg ausgezeichnet.
3. J?rg Mennicke: Classifier Learning for Imbalanced Data with Varying Misclassification Costs - A Comparison of kNN, SVM, and Decision Tree Learning (Diplom Wirtschaftsinformatik, in Kooperation mit Fraunhofer IIS, Medizinische Bildverarbeitung). (November 2006)[pdf]
2. Matthias Raps: Einsatz von generischen Planungsverfahren zur Unterstützung des Projektmanagements in der Software-Entwickung (Diplomarbeit Wirtschaftsinformatik). (September 2006) [pdf]
1. Stephan Weller: Solving Proportional Analogies with E-Generalization (Bachelor Cognitive Science, Uni Osnabrück) (Juni 2005) [pdf]