Playing Games with Observation, Dependency, and Agency in a New Environment for Making Construals. - Meurig Beynon; Russell Boyatt; Jonathan Foss; Chris Hall; Elizabeth Hudnott; Nick Pope; Steve Russ; Hamish Macleod; Dimitris Alimisis; Rene Alimisi; Emmanouil Zoulias; Ilkka Jormanainen; et al. (iTAG, 2016)

Using JS-Eden to introduce the concepts of reinforcement learning and artificial neural networks. - Tapani Toivonen (Koli Calling, 2016)

A survey of resources for introducing coding into schools. - Francisco J. García-Peñalvo; Angela Marie Rees; Jenny Hughes; Ilkka Jormanainen; Tapani Toivonen; Jens Vermeersch (TEEM, 2016)

An Open Robotics Environment Motivates Students to Learn the Key Concepts of Artificial Neural Networks and Reinforcement Learning. - Tapani Toivonen; Ilkka Jormanainen; Markku Tukiainen (RiE, 2017)

Using Machine Learning for Sentiment and Social Influence Analysis in Text. - Emmanuel Awuni Kolog; Calkin Suero Montero; Tapani Toivonen (ICITS, 2018)

BiGO: A Toolset to Support CS Students to Learn to Analyze Time Complexities of Algorithms. - Tapani Toivonen; Solomon Sunday Oyelere (Koli Calling, 2019)

Evolution of Decision Tree Classifiers in Open Ended Educational Data Mining. - Tapani Toivonen; Ilkka Jormanainen (TEEM, 2019)

Augmented intelligence in educational data mining. - Tapani Toivonen; Ilkka Jormanainen; Markku Tukiainen (Smart Learn. Environ., 2019)

Machine Learning Introduces New Perspectives to Data Agency in K - 12 Computing Education. - Matti Tedre; Henriikka Vartiainen; Juho Kahila; Tapani Toivonen; Ilkka Jormanainen; Teemu Valtonen (FIE, 2020)

Machine learning for middle-schoolers: Children as designers of machine-learning apps. - Henriikka Vartiainen; Tapani Toivonen; Ilkka Jormanainen; Juho Kahila; Matti Tedre; Teemu Valtonen (FIE, 2020)

Co-Designing Machine Learning Apps in K-12 With Primary School Children. - Tapani Toivonen; Ilkka Jormanainen; Juho Kahila; Matti Tedre; Teemu Valtonen; Henriikka Vartiainen (ICALT, 2020)

Descriptive Analytics Dashboard for an Inclusive Learning Environment. - Vladimir Costas Jauregui; Solomon Sunday Oyelere; Bernardo Caussin-Torrez; Gabriel Barros-Gavilanes; Joseph Friday Agbo; Tapani Toivonen; Regina Motz; Juan Bernardo Tenesaca (FIE, 2021)

CT 2.0. - Matti Tedre; Peter J. Denning; Tapani Toivonen (Koli Calling, 2021)

Visualization tool for teaching and learning Artificial Neural Networks. - Salseng Mrong; Ilkka Jormanainen; Tapani Toivonen (TEEM, 2021)

Teaching Machine Learning in K-12 Classroom: Pedagogical and Technological Trajectories for Artificial Intelligence Education. - Matti Tedre; Tapani Toivonen; Juho Kahila; Henriikka Vartiainen; Teemu Valtonen; Ilkka Jormanainen; Arnold Pears (IEEE Access, 2021)

The Power of Human-Algorithm Collaboration in Solving Combinatorial Optimization Problems. - Tapani Toivonen; Markku Tukiainen (Algorithms, 2021)

Teaching Machine Learning in K-12 Computing Education: Potential and Pitfalls. - Matti Tedre; Tapani Toivonen; Juho Kahila; Henriikka Vartiainen; Teemu Valtonen; Ilkka Jormanainen; Arnold Pears (CoRR, 2021)

Power of human-algorithm collaboration in solving combinatorial optimization problems. - Tapani Toivonen (CoRR, 2021)

Machine learning for middle schoolers: Learning through data-driven design. - Henriikka Vartiainen; Tapani Toivonen; Ilkka Jormanainen; Juho Kahila; Matti Tedre; Teemu Valtonen (Int. J. Child Comput. Interact., 2021)

Interacting By Drawing: Introducing Machine Learning Ideas to Children at a K-9 Science Fair. - Tapani Toivonen; Ilkka Jormanainen; Matti Tedre; Radu Mariescu-Istodor; Teemu Valtonen; Henriikka Vartiainen; Juho Kahila (CHI Extended Abstracts, 2022)

PFStorer: Personalized Face Restoration and Super-Resolution. - Tuomas Varanka; Tapani Toivonen; Soumya Tripathy; Guoying Zhao 001; Erman Acar (CVPR, 2024)