Tapani Toivonen

According to our database, Tapani Toivonen authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PFStorer: Personalized Face Restoration and Super-Resolution.

Tuomas Varanka, Tapani Toivonen, Soumya Tripathy, Guoying Zhao, Erman Acar

CoRR, 2024

2022

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

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

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

Power of human-algorithm collaboration in solving combinatorial optimization problems.

Tapani Toivonen

CoRR, 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

The Power of Human-Algorithm Collaboration in Solving Combinatorial Optimization Problems.

Tapani Toivonen, Markku Tukiainen

Algorithms, 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

Visualization tool for teaching and learning Artificial Neural Networks.

Salseng Mrong, Ilkka Jormanainen, Tapani Toivonen

Proceedings of the TEEM'21: Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality, Barcelona, Spain, October 26, 2021

CT 2.0.

Matti Tedre, Peter J. Denning, Tapani Toivonen

Proceedings of the Koli Calling '21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18, 2021

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

Proceedings of the IEEE Frontiers in Education Conference, 2021

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

Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 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

Proceedings of the IEEE Frontiers in Education Conference, 2020

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

Proceedings of the IEEE Frontiers in Education Conference, 2020

2019

Augmented intelligence in educational data mining.

Tapani Toivonen, Ilkka Jormanainen, Markku Tukiainen

Smart Learn. Environ., 2019

Evolution of Decision Tree Classifiers in Open Ended Educational Data Mining.

Tapani Toivonen, Ilkka Jormanainen

Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality, 2019

BiGO: A Toolset to Support CS Students to Learn to Analyze Time Complexities of Algorithms.

Tapani Toivonen, Solomon Sunday Oyelere

Proceedings of the Koli Calling '19: 19th Koli Calling International Conference on Computing Education Research, 2019

2018

Using Machine Learning for Sentiment and Social Influence Analysis in Text.

Emmanuel Awuni Kolog, Calkin Suero Montero, Tapani Toivonen

Proceedings of the International Conference on Information Technology & Systems, 2018

2017

An Open Robotics Environment Motivates Students to Learn the Key Concepts of Artificial Neural Networks and Reinforcement Learning.

Tapani Toivonen, Ilkka Jormanainen, Markku Tukiainen

Proceedings of the Robotics in Education, 2017

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

Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality, Salamanca, Spain, November 02, 2016

Using JS-Eden to introduce the concepts of reinforcement learning and artificial neural networks.

Tapani Toivonen

Proceedings of the 16th Koli Calling International Conference on Computing Education Research, 2016

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, Tapani Toivonen, Piet Kommers, Peter Tomcsányi, Michal Winczer

Proceedings of the 2016 International Conference on Interactive Technologies and Games, 2016