Jari Björne

AI-Assisted Learning with ChatGPT and Large Language Models: Implications for Higher Education (2023)

International Conference on Advanced Learning Technologies, IEEE International Conference on Advanced Learning Technologies

Laato Samuli, Morschheuser Benedikt, Hamari Juho, Björne Jari

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Striving for platform independence in the e-learning landscape: a study on a flexible exercise creation system (2022)

International Conference on Advanced Learning Technologies, IEEE International Conference on Advanced Learning Technologies

Laato Samuli, Murtojärvi Mika, Airola Antti, Björne Jari

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Towards Automated Screening of Literature on Artificial Intelligence in Nursing (2022)

World congress on medical and health informatics, World congress on medical and health informatics

Moen Hans, Alhuwail Dari, Björne Jari, Block Lori, Celin Sven, Jeon Eunjoo, Kreiner Karl, Mitchell James, Ožegović Gabriela, Ronquillo Charlene Esteban, Sequeira Lydia, Tayaben Jude, Topaz Maxim, Veeranki Sai Pavan Kumar, Peltonen Laura-Maria

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine (2021)

Journal of Biomedical Semantics

Majewska Olga, Collins Charlotte, Baker Simon, Björne Jari, Brown Susan Windisch, Korhonen Anna, Palmer Martha

(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))

Convolutional neural network architectures for CAFA4 (2020)

F1000Research

Björne Jari

(O2 Muu julkaisu )

Neural Network and Random Forest Models in Protein Function Prediction (2020)

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Hakala Kai, Kaewphan Suwisa, Björne Jari, Mehryary Farrokh, Moen Hans, Tolvanen Martti, Salakoski Tapio, Ginter Filip

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

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens (2019)

Genome Biology

Naihui Zhou, Yuxiang Jiang, Timothy R. Bergquist, Alexandra J. Lee, Balint Z. Kacsoh, Alex W. Crocker, Kimberley A. Lewis, George Georghiou, Huy N. Nguyen, Md Nafiz Hamid, Larry Davis, Tunca Dogan, Volkan Atalay, Ahmet S. Rifaioglu, Alperen Dalkıran, Rengul Cetin Atalay, Chengxin Zhang, Rebecca L. Hurto, Peter L. Freddolino, Yang Zhang, Prajwal Bhat, Fran Supek, José M. Fernández, Branislava Gemovic, Vladimir R. Perovic, Radoslav S. Davidović, Neven Sumonja, Nevena Veljkovic, Ehsaneddin Asgari, Mohammad R.K. Mofrad, Giuseppe Profiti, Castrense Savojardo, Pier Luigi Martelli, Rita Casadio, Florian Boecker, Heiko Schoof, Indika Kahanda, Natalie Thurlby, Alice C. McHardy, Alexandre Renaux, Rabie Saidi, Julian Gough, Alex A. Freitas, Magdalena Antczak, Fabio Fabris, Mark N. Wass, Jie Hou, Jianlin Cheng, Zheng Wang, Alfonso E. Romero, Alberto Paccanaro, Haixuan Yang, Tatyana Goldberg, Chenguang Zhao, Liisa Holm, Petri Törönen, Alan J. Medlar, Elaine Zosa, Itamar Borukhov, Ilya Novikov, Angela Wilkins, Olivier Lichtarge, Po-Han Chi, Wei-Cheng Tseng, Michal Linial, Peter W. Rose, Christophe Dessimoz, Vedrana Vidulin, Saso Dzeroski, Ian Sillitoe, Sayoni Das, Jonathan Gill Lees, David T. Jones, Cen Wan, Domenico Cozzetto, Rui Fa, Mateo Torres, Alex Warwick Vesztrocy, Jose Manuel Rodriguez, Michael L. Tress, Marco Frasca, Marco Notaro, Giuliano Grossi, Alessandro Petrini, Matteo Re, Giorgio Valentini, Marco Mesiti, Daniel B. Roche, Jonas Reeb, David W. Ritchie, Sabeur Aridhi, Seyed Ziaeddin Alborzi, Marie-Dominique Devignes, Da Chen Emily Koo, Richard Bonneau, Vladimir Gligorijević, Meet Barot, Hai Fang, Stefano Toppo, Enrico Lavezzo, Marco Falda, Michele Berselli, Silvio C.E. Tosatto, Marco Carraro, Damiano Piovesan, Hafeez Ur Rehman, Qizhong Mao, Shanshan Zhang, Slobodan Vucetic, Gage S. Black, Dane Jo, Erica Suh, Jonathan B. Dayton, Dallas J. Larsen, Ashton R. Omdahl, Liam J. McGuffin, Danielle A. Brackenridge, Patricia C. Babbitt, Jeffrey M. Yunes, Paolo Fontana, Feng Zhang, Shanfeng Zhu, Ronghui You, Zihan Zhang, Suyang Dai, Shuwei Yao, Weidong Tian, Renzhi Cao, Caleb Chandler, Miguel Amezola, Devon Johnson, Jia-Ming Chang, Wen-Hung Liao, Yi-Wei Liu, Stefano Pascarelli, Yotam Frank, Robert Hoehndorf, Maxat Kulmanov, Imane Boudellioua, Gianfranco Politano, Stefano Di Carlo, Alfredo Benso, Kai Hakala, Filip Ginter, Farrokh Mehryary, Suwisa Kaewphan, Jari Björne, Hans Moen, Martti E.E. Tolvanen, Tapio Salakoski, Daisuke Kihara, Aashish Jain, Tomislav Šmuc, Adrian Altenhoff, Asa Ben-Hur, Burkhard Rost, Steven E. Brenner, Christine A. Orengo, Constance J. Jeffery, Giovanni Bosco, Deborah A. Hogan, Maria J. Martin, Claire O’Donovan, Sean D. Mooney, Casey S. Greene, Predrag Radivojac, Iddo Friedberg

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

The 2018 Shared Task on Extrinsic Parser Evaluation: On the Downstream Utility of English Universal Dependency Parsers (2018)

SIGNLL Conference on Computational Natural Language Learning

Fares M, Oepen S, Øvrelid L, Björne J, Johansson R

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Combining support vector machines and LSTM networks for chemical-protein relation extraction (2018)

BioCreative

Farrokh Mehryary, Jari Björne, Tapio Salakoski, Filip Ginter

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

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AI-Assisted Learning with ChatGPT and Large Language Models: Implications for Higher Education (2023)

Striving for platform independence in the e-learning landscape: a study on a flexible exercise creation system (2022)

Towards Automated Screening of Literature on Artificial Intelligence in Nursing (2022)

BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine (2021)

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

Convolutional neural network architectures for CAFA4 (2020)

Neural Network and Random Forest Models in Protein Function Prediction (2020)

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens (2019)

The 2018 Shared Task on Extrinsic Parser Evaluation: On the Downstream Utility of English Universal Dependency Parsers (2018)

Combining support vector machines and LSTM networks for chemical-protein relation extraction (2018)