Tapio Salakoski

Computing Education Research in Finland (2023)

Malmi Lauri, Hellas Arto, Ihantola Petri, Isomöttönen Ville, Jormanainen Ilkka, Kilamo Terhi, Knutas Antti, Korhonen Ari, Laakso Mikko-Jussi, López-Pernas Sonsoles, Poranen Timo, Salakoski Tapio, Suhonen Jarkko

(Vertaisarvioitu artikkeli kokoomateoksessa (A3))

Text Classification Model Explainability for Keyword Extraction - Towards Keyword-Based Summarization of Nursing Care Episodes (2022)

World Congress on Medical and Health Informatics, Studies in Health Technology and Informatics

Reunamo Akseli, Peltonen Laura-Maria, Mustonen Reetta, Saari Minttu, Salakoski Tapio, Salanterä Sanna, Moen Hans

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Clustering Nursing Sentences - Comparing Three Sentence Embedding Methods (2022)

Medical Informatics Europe Conference, Medical informatics Europe

Moen Hans, Suhonen Henry, Salanterä Sanna, Salakoski Tapio, Peltonen Laura-Maria

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Universal Lemmatizer: A sequence-to-sequence model for lemmatizing Universal Dependencies treebanks (2021)

Natural Language Engineering

Kanerva Jenna, Ginter Filip, Salakoski Tapio

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Limits and Virtues of Educational Technology in Elementary School Mathematics (2020)

Journal of Educational Technology Systems

Athanasios Christopoulos, Henri Kajasilta, Tapio Salakoski, Mikko-Jussi Laakso

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Entity-pair embeddings for improving relation extraction in the biomedical domain (2020)

European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

Mehryary F., Moen H., Salakoski T., Ginter F.

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Long term effects on technology enhanced learning: The use of weekly digital lessons in mathematics (2020)

Informatics in Education

Einari Kurvinen, Erkki Kaila, Mikko-Jussi Laakso, Tapio Salakoski

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Supporting the use of standardized nursing terminologies with automatic subject heading prediction: a comparison of sentence-level text classification methods (2020)

Journal of the American Medical Informatics Association

Hans Moen, Kai Hakala, Laura-Maria Peltonen, Henry Suhonen, Filip Ginter, Tapio Salakoski, Sanna Salanterä

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Propagating AI Knowledge Across University Disciplines- The Design of A Multidisciplinary AI Study Module (2020)

Frontiers in Education Conference, Frontiers in Education Conference

Samuli Laato, Henna Vilppu, Juho Heimonen, Antti Hakkala, Jari Björne, Ali Farooq, Tapio Salakoski, Antti Airola

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Using early assessment performance as early warning signs to identify at-risk students in programming courses (2020)

Frontiers in Education Conference, Frontiers in Education Conference

Ashok Kumar Veerasamy, Daryl D’Souza, Mikko-Ville Apiola, Mikko-Jussi Laakso, Tapio Salakoski

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

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Computing Education Research in Finland (2023)

Text Classification Model Explainability for Keyword Extraction - Towards Keyword-Based Summarization of Nursing Care Episodes (2022)

Clustering Nursing Sentences - Comparing Three Sentence Embedding Methods (2022)

Universal Lemmatizer: A sequence-to-sequence model for lemmatizing Universal Dependencies treebanks (2021)

Limits and Virtues of Educational Technology in Elementary School Mathematics (2020)

Entity-pair embeddings for improving relation extraction in the biomedical domain (2020)

Long term effects on technology enhanced learning: The use of weekly digital lessons in mathematics (2020)

Supporting the use of standardized nursing terminologies with automatic subject heading prediction: a comparison of sentence-level text classification methods (2020)

Propagating AI Knowledge Across University Disciplines- The Design of A Multidisciplinary AI Study Module (2020)

Using early assessment performance as early warning signs to identify at-risk students in programming courses (2020)