Current and finished student projects (projects or bachelor/master/diploma theses):
2025
|
| [124] | Teodora Nikolaeva Nikolova:
On model selection for out-of-distribution detection.
master's project, 2025.
|
2024
|
| [123] | Khesrau Amanzay:
Adversarial Machine Learning: Exploring Privacy Vulnerabilities of Synthetic Data.
master's project, 2024.
|
| [122] | Anders Tron Archilander Berg:
Identification of Adélie Penguin calls at sea.
master's project, 2024.
|
| [121] | Simon Kaalø Echers:
Studying the impact of random perturbations on the distance matrix and on outlier rankings.
master's project, 2024.
|
| [120] | Katharina Tronier:
Exploration of Clustering for Explaining and Improving Classifications.
master's project, 2024.
|
| [119] | Anna Olsen:
Exploration of Ocean Biodiversity Data.
master's project, 2024.
|
2023
|
| [118] | Ian Wordenskjold Stougaard:
Utilizing Machine Learning to Detect Tax Evading Companies in Denmark.
master's project, 2023.
|
| [117] | Alexander Teymour Zadeh Baboli Høier:
A Comparison of Methods for Detecting Log-Based Anomalies.
master's project, 2023.
|
| [116] | Emilie Vieth Kongsgaard:
Behavioral anomaly detection in log files.
master's project, 2023.
|
| [115] | Kia Friis Petersen:
A study of AI methods for anomaly detection in Microservices.
master's project, 2023.
|
| [114] | Aske Støttrup Olesen:
Interpretable outlier scores.
master's project, 2023.
|
| [113] | Jonas Junker Pedersen:
Monitoring of Outliers and Trends in Social Statistics.
master's project, 2023.
|
| [112] | Merete Hansen:
Identifying Sea Surface Vocalizations of Adélie Penguins in High-resolution Bio-logging Data.
master's project, 2023.
|
| [111] | John Alexander Prescott:
Assessing Image Focus of Bats in Wind Tunnel Photography.
master's project, 2023.
|
2022
|
| [110] | Andreas Staurby Olesen:
A Comparative Analysis of Dimensionality Reduction Methods.
master's project, 2022.
|
| [109] | Aske Støttrup Olesen:
Understanding the Bang and Olufsen anodizing process.
company project, 2022.
|
| [108] | Caroline Thingholm Thorarinsson:
Clustering-based Explanation of Decision Structures in Deep Neural Networks.
master's project, 2022.
|
| [107] | Pernille Matthews:
Regional Explanations for XAI.
master's project, 2022.
|
| [106] | Bjørn Kaas Corfitz:
Exploration of Survey Data on Lockdown Effects on Welfare.
master's project, 2022.
|
| [105] | Steffen Rask Hansen:
Explorative Analysis of Motivational Typologies in Sport and Exercise.
master's project, 2022.
|
| [104] | Sofie Widell:
Finding Patterns in Facial Feature Adjustments of myotis nattereri during prey capture.
master's project, 2022.
|
| [103] | Tobias Moos:
Explorative Analysis of Vocal Muscle Plasticity Data.
master's project, 2022.
|
| [102] | Erik Andersen:
Selected Topics in Spatio-temporal Data Analysis.
master's project, 2022.
|
2021
|
| [101] | Nikolaj Vinkel Hansen:
Segmentation of Customer Data.
company project, 2021.
|
| [100] | Alexander Hegermann Lauritsen:
Recommendation Systems for Customer Data.
master's project, 2021.
|
| [99] | Caroline Thingholm Thorarinsson:
Machine Learning for Bonds in Emerging Markets.
company project, 2021.
|
| [98] | Helle Juul Hansen:
Use of Machine Learning to Improve Technical Support.
company project, 2021.
|
| [97] | Mikkel Søgaard Pedersen, Camilla Dyhr-Jahns:
Social Media Data Analysis under Extended Privacy and Ethical Standards.
master's project, 2021.
|
| [96] | Bilal Walid Ali:
Machine Learning on Ocean Biodiversity Data.
master's project, 2021.
|
| [95] | Zoe Jost:
Automatic Assessment of Hand Dexterity Tests by Image Processing.
individual study activity, 2021.
|
| [94] | Zoe Jost:
Automatic Assessment of Hand Dexterity Tests by Machine Learning.
individual study activity, 2021.
|
| [93] | Nicklas Jeppesen:
Data Analysis for Fynbus Rejsekort Data on Funen.
bachelor project, 2021.
|
| [92] | Hoang Khanh Duy Vu:
Analysis of Vehicle Counter Data in the City of Odense.
bachelor project, 2021.
|
| [91] | Erik Andersen:
Spatial-temporal analysis of urban traffic data.
individual study activity, 2021.
|
| [90] | Marcel Meimbresse:
Normalized Electricity Consumption.
master's project, 2021.
|
2020
|
| [89] | Shabab Akhter:
Explainable Artificial Intelligence: Exploration and Comparison.
master's project, 2020.
|
| [88] | Anastasia Zazulina:
Clustering of uncertain data and the influence of dependencies.
master's project, 2020.
|
| [87] | Leon Middelboe Hansen:
Machine Learning for Graph Grammar Rule Prediction.
master's project, 2020.
|
| [86] | Steffen Berg Klenow:
Tablereservations in restaurants and related problems.
master's project, 2020.
|
| [85] | Eivind Roslyng-Jensen, Mads Harloff Lauritsen:
Clustering of Image Sets on Geospatial and Spatiotemporal Metadata and Computing Representative Images.
bachelor project, 2020.
|
| [84] | Benjamin Toubøl, Mathias Bischoff, Mikkel Posselt, Troels Have:
Analyzing Vehicle Counters from the Municipality of Odense.
bachelor project, 2020.
|
| [83] | Erik Andersen:
Analysis of The Hague Traffic Data.
bachelor project, 2020.
|
2019
|
| [82] | Jonas Petersen:
Exploration of Density-estimation Techniques and Heuristics for Parameter Selection.
individual study activity, 2019.
|
| [81] | Jonatan Møller Gøttcke:
K-nearest neighbor classification for imbalanced and semi-supervised problems.
master's project, 2019.
|
2018
|
| [80] | Malene Christiane Nielsen:
Outlier Detection.
individual study activity, 2018.
|
| [79] | Rupika Pushparupan:
Exploration of Density-estimation Techniques and Heuristics for Parameter Selection.
individual study activity, 2018.
|
| [78] | Troels Risum Vigsøe Frimer:
Detecting Invalid Traffic.
company project, 2018.
|
| [77] | Nicolai Jørgensen:
Analysis of multiple correlations among attributes.
individual study activity, 2018.
|
| [76] | Jonatan Møller Gøttcke:
Class Imbalance and Probabilistic Learning in k-Nearest-Neighbor Classification.
individual study activity, 2018.
|
| [75] | Cecilie Louise Neupart:
Data mining and statistical learning.
individual study activity, 2018.
|
| [74] | Maria Nathalia Vinter Kristensen:
Evaluation of Outlier Results.
individual study activity, 2018.
|
2017
|
| [73] | Péter Szinger:
Big Data Analysis: Recommender Systems Case Study.
bachelor project, 2017.
|
| [72] | Klaus Kristiansen, Troels Frimer, Nicolai Jørgensen:
Development of an Artificial Intelligence-based Recruiting Consultant.
bachelor project, 2017.
|
2016
|
| [71] | Dominik Acker:
Visualisierung hochdimensionaler Daten mit t-SNE.
bachelor's thesis, 2016.
|
| [70] | Elias Englmeier:
Dimensional Testing for Reverse k-Nearest Neighbor Search.
master's thesis, 2016.
|
| [69] | Frederic Sauter:
Association Rule Generation and Evaluation of Interestingness Measures for Artwork Tags.
bachelor's thesis, 2016.
|
| [68] | Sebastian Rühl:
Event Detection in ARTigo Data.
bachelor's thesis, 2016.
|
| [67] | Alexander Fischer-Brandies:
Explaining Outliers in ARTigo.
bachelor's thesis, 2016.
|
| [66] | Tien Duc Nguyen:
Explorative Cluster Analysis of Artworks for the ARTigo Analytics Center.
bachelor's thesis, 2016.
|
| [65] | Julian Erhard:
Accelerating MiniMax Hierarchical Clustering.
bachelor's thesis, 2016.
|
| [64] | Evelyn Kirner:
Outlier Ensembles with Approximate Neighborhoods.
master's thesis, 2016.
|
| [63] | Benedikt Böhm:
Building Blocks for Multicriteria Recommendation Systems.
project, 2016.
|
| [62] | Sebastian Schmoll:
Beschleunigter DBSCAN mit Cover Trees.
project, 2016.
|
| [61] | Daniel Basaran:
On the effect of duplicated reviews on performance statistics of recommender systems.
master's thesis, 2016.
|
| [60] | Alexandra Kaiser:
Cluster-based Evaluation of Outlier Detection Results.
bachelor's thesis, 2016.
|
2015
|
| [59] | Shaonan Zhang:
Analysis and Design of High Dimensional Datasets with respect to Intrinsic Dimensionality and Hubness.
master's thesis, 2015.
|
| [58] | Jonas Steinke:
Robust k-Means Variants.
bachelor's thesis, 2015.
|
| [57] | Marie Kiermeier:
Using Outlierness to Find Non-linearly Correlated Subspace Clusters.
master's thesis, 2015.
|
| [56] | Marie Kiermeier:
Arbitrarily-oriented Subspace Cluster Algorithms.
project, 2015.
|
| [55] | Alexander Koos:
A Framework for Clustering Uncertain Data.
bachelor's thesis, 2015.
|
| [54] | Bernhard Fabry:
Analysis and Comparison of Components of Outlier Detection Ensembles.
bachelor's thesis, 2015.
|
| [53] | Benedikt Böhm:
Multicriteria Rating Systems.
bachelor's thesis, 2015.
|
2014
|
| [52] | Evgeniy Faerman:
Acceleration of Clustering Algorithms Through Locality-Sensitive Hashing.
master's thesis, 2014.
|
| [51] | Stephan Baier:
Design and Evaluation of Internal Clustering Validation Methods.
master's thesis, 2014.
|
| [50] | Sebastian Hollizeck:
Evaluierung von Featurerepräsentationen für Proteine.
master's thesis, 2014.
|
| [49] | Marie Kiermeier:
Über die Signifikanz von Clustern.
bachelor's thesis, 2014.
|
| [48] | Alexander Klimczak:
Visualizing Clustering Algorithms for Education.
bachelor's thesis, 2014.
|
| [47] | Fiona Draxler:
Feature Representations for Image Data - Properties and Combinations.
bachelor's thesis, 2014.
|
| [46] | Stephan Baier:
Implementation and Evaluation of the Bag of Visual Words Pipeline.
project, 2014.
|
| [45] | Jonathan von Brünken:
Outlier Detection based on Intrinsic Dimensionality.
diploma thesis, 2014.
|
| [44] | Florian Nücke:
Sampling-based Subspace Clustering.
diploma thesis, 2014.
|
2013
|
| [43] | Ernst Waas:
Finding Statistically Significant Correlation Clusters.
diploma thesis, 2013.
|
| [42] | Florian Nücke:
Random-based Subspace Clustering.
project, 2013.
|
2012
|
| [41] | Robert Rödler:
Interaktives Data-Mining auf parallelen Koordinaten.
diploma thesis, 2012.
|
| [40] | OUTRES - Implementation and Evaluation:
Viktoria Pleintinger.
bachelor's thesis, 2012.
|
| [39] | Ivaylo Dimov:
OutRank - Subspace-Clustering basierte Ausreißererkennung im Vergleich.
bachelor's thesis, 2012.
|
| [38] | Jan Brusis:
Outlier detection in biomedical data.
bachelor's thesis, 2012.
|
| [37] | Matthias Schelle:
Implementation and Similarity-Evaluation of Facial Image Features.
bachelor's thesis, 2012.
|
| [36] | Sascha Goldhofer:
Evaluation-Measures for Clusterings.
diploma thesis, 2012.
|
| [35] | Lisa Reichert:
Ähnlichkeitssuche in hochdimensionalen Räumen und Unterräumen.
diploma thesis, 2012.
|
| [34] | Remigius Wojdanowski:
Evaluation Methods for Outlier Scores.
diploma thesis, 2012.
|
2011
|
| [33] | Heidi Kolb:
Angle-based Clustering.
diploma thesis, 2011.
|
| [32] | Christiane Gargitter:
Hochdimensionales Indexing.
diploma thesis, 2011.
|
| [31] | Jakob Betke:
Evaluationsverfahren von Clustering-Algorithmen für Genexpressions-Daten.
bachelor's thesis, 2011.
|
| [30] | Robert Rödler:
Visualization of Cluster Models.
project, 2011.
|
| [29] | Ahmed Hettab:
Generalisierte lokale Ausreißer in räumlichem Kontext.
diploma thesis, 2011.
|
| [28] | Stefan Attenberger:
Evaluation of Biclustering Algorithms for Biclusters with Coherent Evolution in Gene Expression Data.
bachelor's thesis, 2011.
|
| [27] | Carina Demel:
Evaluation of Biclustering Algorithms for Biclusters with Coherent Values in gene Expression Data.
bachelor's thesis, 2011.
|
| [26] | Sascha Goldhofer:
Visuelle Cluster-Evaluierung.
project, 2011.
|
| [25] | Florian Frankenberger:
Approximative kNN-Join in Large Data Sets Using Distributed Computing .
Diploma Thesis, 2011.
|
| [24] | Lucia Cichella:
Experimenteller Vergleich von Outlier-Detection-Algorithmen.
bachelor's thesis, 2011.
|
| [23] | Katharina Rausch:
Experimental Evaluation of Clustering Algorithms.
bachelor's thesis, 2011.
|
2010
|
| [22] | Christiane Gargitter:
Auflösestrategien für spaltenbasiertes Indexing hochdimensionaler Daten.
project, 2010.
|
| [21] | Christian Mönnig:
Pruningheuristiken für spaltenbasiertes Indexing hochdimensionaler Daten.
project, 2010.
|
| [20] | Ernst Waas:
Sampling-Methoden für Correlation Clustering.
project, 2010.
|
| [19] | Heidi Kolb:
Interaktive Visualisierung der Ergebnisse von Data Mining Algorithmen.
project, 2010.
|
| [18] | Simon Mittermüller:
On the Significance of Biclusterings.
Diploma Thesis, 2010.
|
| [17] | Ahmed Hettab:
Implementierung und Evaluierung von Outlier Detection Verfahren.
project, 2010.
|
| [16] | Irina Jankovska:
Visuelle Bearbeitung hochdimensionaler Daten.
project, 2010.
|
| [15] | Lisa Reichert:
Implementierung und Evaluierung von Outlier Detection Verfahren.
project, 2010.
|
2009
|
| [14] | Remigius Wojdanowski:
Visualisierung der Ergebnisse von Outlier Detection Verfahren auf hochdimensionalen Daten.
project, 2009.
|
| [13] | Simon Mittermüller:
Visualisierung und Evaluierung von Biclustering-Verfahren.
project, 2009.
|
2008
|
| [12] | Theodor Mazilu:
Untersuchung der Fraktalen Dimension und ihrer Verwendung in Clustering-Algorithmen.
diploma thesis, 2008.
|
| [11] | Erich Schubert:
Statistical Approaches for Robustifying Correlation Clustering Algorithms.
Diploma Thesis, 2008.
|
| [10] | Matthias Wolf:
Outlier-Detection.
project, 2008.
|
| [9] | Maria Hauser:
Ontology-based Evaluation of Microarray-Clustering.
project, 2008.
[ webservice | project documentation ] |
2007
|
| [8] | Marion Gall:
Interaktive Integration heterogener Datenquellen.
diploma thesis, 2007.
|
| [7] | Simon Paradies:
Non-linear Correlation Clustering on Microarray Data.
Diploma Thesis, 2007.
|
| [6] | Jing Gong:
Prediction Methods for Subcellular Localization of Proteins.
Diploma Thesis, 2007.
[ prediction server ] |
| [5] | Wei Tiandi:
Analysis of Correlation between Subcellular Localization and the Structure of Proteins.
Diploma Thesis, 2007.
[ classifier ] |
| [4] | Svetlana Davletgareeva:
Analysis of Independent Components for Correlation Clusters.
Diploma Thesis, 2007.
|
2006
|
| [3] | Markus Bundschus:
Entity and Relation Extraction from Biomedical Text Corpora.
Diploma Thesis, 2006.
|
| [2] | Jörn David:
Correlation Clustering Based on the Hough Transform.
Diploma Thesis, 2006.
|
| [1] | Ina Müller-Gormann:
Towards Hierarchical Subspace Clustering.
Diploma Thesis, 2006.
|
overall: 63 undergraduate theses, individual study activities, and projects, 61 graduate theses.