Helping Computers Understand Geographically-Bound Activity Restrictions. - Marcus Soll; Philipp Naumann; Johannes Schöning; Pavel Andreevich Samsonov; Brent J. Hecht (CHI, 2016)

The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios. - Nikhil Churamani; Paul Anton; Marc Brügger; Erik Fließwasser; Thomas Hummel 001; Julius Mayer 001; Waleed Mustafa; Hwei Geok Ng; Thi Linh Chi Nguyen; Quan Nguyen 005; Marcus Soll; Sebastian Springenberg; et al. (HAI, 2017)

ClassifyHub: An Algorithm to Classify GitHub Repositories. - Marcus Soll; Malte Vosgerau (KI, 2017)

Hey robot, why don't you talk to me? - Hwei Geok Ng; Paul Anton; Marc Brügger; Nikhil Churamani; Erik Fließwasser; Thomas Hummel 001; Julius Mayer 001; Waleed Mustafa; Thi Linh Chi Nguyen; Quan Nguyen 005; Marcus Soll; Sebastian Springenberg; et al. (RO-MAN, 2017)

Evaluating Defensive Distillation for Defending Text Processing Neural Networks Against Adversarial Examples. - Marcus Soll; Tobias Hinz; Sven Magg; Stefan Wermter (ICANN (3), 2019)

InformatiCup Competition 2019: Fooling Traffic Sign Recognition. - Marcus Soll (KI, 2019)

Fertigkeiten erkennen und Interesse für Informatik wecken: Der Informatiktest von MINTFIT Hamburg. - Helena Barbas; Esther Bender; Fabian Hamann; Daniel Sitzmann; Marcus Soll (DeLFI, 2020)

Enhancing a Theory-Focused Course Through the Introduction of Automatically Assessed Programming Exercises - Lessons Learned. - Marcus Soll; Louis Kobras; Melf Johannsen; Chris Biemann (EC-TEL (Impact Papers), 2020)

Adaptable Digital Labs - Motivation and Vision of the CrossLab Project. - Ines Aubel; Sebastian Zug; André Dietrich; Johannes Nau; Karsten Henke; Pierre Helbing; Detlef Streitferdt; Claudius Terkowsky; Konrad Boettcher; Tobias R. Ortelt; Marcel Schade; Norbert Kockmann; et al. (GeCon, 2022)

The MINTFIT Computer Science Online Course. - Helena Barbas; Marcus Soll; Jakob Smedegaard Andersen; Esther Bender; Fabian Hamann; Michael Haustermann; Daniel Sitzmann (GeCon, 2022)

Expected Learning Outcomes by Industry for Laboratories at Universities. - Marcus Soll; Konrad Boettcher (GeCon, 2022)

What are we Missing for Effective Remote Laboratories? - Marcus Soll; Jan Haase 001; Pierre Helbing; Johannes Nau (GeCon, 2022)

What Were We Expecting? Analysing Expectations of German University Teachers of Study Beginners in Computer Science as Experienced by Students. - Marcus Soll; Louis Kobras (GeCon, 2022)

Dataset of Student Solutions to Algorithm and Data Structure Programming Assignments. - Fynn Petersen-Frey; Marcus Soll; Louis Kobras; Melf Johannsen; Peter Kling; Chris Biemann (LREC, 2022)

What Exactly is a Laboratory in Computer Science? - Marcus Soll (EDUCON, 2023)

Building an IT Security Laboratory for Complex Teaching Scenarios Using 'Infrastructure as Code'. - Marcus Soll; Hendrik Helmken; Michel Belde; Sebastian Schimpfhauser; Felix Nguyen; Daniel Versick (EDUCON, 2023)

Didactic Design of a Remote Collaborative Robotics Laboratory. - Louis Kobras; Bernhard Meussen; Marcus Soll (GECon, 2023)

No Matter How You Slice It: Machine Unlearning with SISA Comes at the Expense of Minority Classes. - Korbinian Koch; Marcus Soll (SaTML, 2023)

Advantages and Challenges using Project-Based Learning for Building Automation Classes. - Louis Kobras; Jan Haase 001; Marcus Soll (GeCon, 2024)

Do Large Language Models Require Prior Knowledge for Learning? A Preliminary Study. - Marcus Soll; Louis Kobras (EDUCON, 2025)

Integration of Learning Outcomes for Stem Laboratories Into a New Learning Outcome Catalogue. - Marcus Soll; Louis Kobras; Konrad Boettcher; Nils Kaufhold; Marcel Schade; Claudius Terkowsky; Pierre Helbing; Ines Aubel; Doreen Kaiser (EDUCON, 2025)