Portfolio

Projects

Tiny Simulations in Python

The project series “Tiny Simulations in Python” consists of a collection of small, engaging simulations developed with Python. Each simulation is designed to illustrate a specific concept or technique from the fields of physics, biology, mathematics, and/or complex systems. Every project is accompanied by a blog post documenting the design and implementation process, aiming to reflect on the results and share knowledge.

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Tiny Games in Python

The project series “Tiny Games in Python” consists of a collection of small, creative games developed with Python and Pygame. Each game is designed to demonstrate a specific concept or technique from the fields of game development, artificial intelligence, and/or interactive user experience. In addition, each project is documented in an accompanying blog post to reflect on the development process and share knowledge.

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Pokémon Clustering

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In this project I used my Typo Generator to create typos in Pokémon names. I then clustered the noisy Pokémon names with an ensemble clustering consisting of different similarity measures. The method is modularly variable and achieves a very good F1-Score of over .90. The visualisation of the clusters can be viewed below.

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Typo Generator

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To train a cluster algorithm, I needed data that was already clustered, in the form that the data points represent different spellings of a word to which they are assigned as a cluster. This allows me to check whether my cluster algorithm works well and to better optimise the hyperparameters. However, the use of a typo generator can also be interesting in many other areas.

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t-SNE Visualization

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The project investigated visualizing high-dimensional data from the MNIST dataset using the t-SNE algorithm, preserving similarity between data points. Data was loaded from MNIST, then t-SNE applied to generate coordinates for a scatterplot, with each digit class represented by a distinct color. Results demonstrated clear clustering and separation between digit classes, suggesting t-SNE’s efficacy for visualizing MNIST.

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Judge a Book by its Color

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This project analyzed the main colors of bestsellers over decades, aiming to identify dominant trends and visualize them effectively. Data from book titles, authors, and top-ranking periods were sourced from Wikipedia, while book covers were scraped from online sources. Through this analysis and visualization, valuable insights were gained into book cover design trends, providing a basis for further exploration in the field of book market analysis.

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Publications

2024

Vetter, Georg (2024): Manufacturer Name Clustering. Kaggle. https://kaggle.com/competitions/manufacturer-name-clustering

Aguirre Reid, Sören; Vetter, Georg; Lackes, Richard; Siepermann, Markus (2024): Is it all about fun? Self-service technology acceptance in Germany. The International Review of Retail, Distribution and Consumer Research, 34(2), 201–227. DOI: 10.1080/09593969.2024.2342795.

2023

Aguirre Reid, Sören; Lackes, Richard; Siepermann, Markus; Vetter, Georg; Wenner, Wladimir (2023): Oral Examinations Simulator – An Intelligent Tutoring Tool to Reduce Oral Exam Anxiety. In: Dondio, P., et al. Games and Learning Alliance. GALA 2023. Lecture Notes in Computer Science, vol 14475. Springer, Cham., p. 438–443 DOI: 10.1007/978-3-031-49065-1_46.

2020

Beser, Alper; Lackes, Richard; Siepermann, Markus; Vetter, Georg (2020): How Firms should respond to negative Word-Of-Mouth. In: Proceedings of the 28th European Conference on Information Systems (ECIS). available online at AIS.

Lackes, Richard; Siepermann, Markus; Vetter, Georg (2020): Where can I take You? - The Drivers of Autonomous Driving Adoption. In: Proceedings of the 28th European Conference on Information Systems (ECIS). available online at AIS.

Lackes, Richard; Siepermann, Markus; Vetter, Georg (2020): What drives decision makers to follow or ignore forecasting tools - A game based analysis. In: Journal of Business Research 106, p. 315–322. DOI: 10.1016/j.jbusres.2019.02.036.

2019

Lackes, Richard; Siepermann, Markus; Vetter, Georg (2019): Can I Help You? – The Acceptance of Intelligent Personal Assistants. In: Pańkowska und Gerstner (Hg.): Perspectives in Business Informatics Research, Bd. 365. 1st ed.: Springer International Publishing (Lecture Notes in Business Information Processing), p. 204–218.

Vetter, Georg (2019): The Adoption of Smart Systems - Influencing Factors of the Intention to Use and Actual Use. Dissertation, Technische Universität Dortmund. DOI: 10.17877/DE290R-20092

2018

Vetter, Georg; Siepermann, Markus; Lackes, Richard (2018): What Drives Decision Makers to Follow or Ignore Forecasting Tools - A Game Based Analysis. In: Tung Bui (Hg.): Proceedings of the 51st Hawaii International Conference on System Sciences.

Lackes, Richard; Siepermann, Markus; Vetter, Georg (2018): Turn it on! - User Acceptance of Direct Load Control and Load Shifting of Home Appliances. In: Proceedings of the 26th European Conference on Information Systems (ECIS). available online at AIS

2017

Lackes, Richard; Siepermann, Markus; Vetter, Georg (2017): The Effect of Uncertainty and Quality Perception on the Usage of Forecasting Tools – A Game Based Analysis. In: Dias (Hg.): Games and Learning Alliance, Bd. 10653. 1st ed.: Springer International Publishing (Lecture Notes in Computer Science), p. 228–237.

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