Joonas Hämäläinen

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 16

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Reference Point

Feature Ranking

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Publications

Joakim Linja, Joonas Hämäläinen, Tommi Kärkkäinen
Feature Selection for Multi-label Classification with Minimal Learning Machine. ESANN (2023)
Jonas Oppenlaender, Joonas Hämäläinen
Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT and GPT-4 for Cost-Efficient Question Answering. CoRR (2023)
Joakim Linja, Joonas Hämäläinen, Antti Pihlajamäki, Paavo Nieminen, Sami Malola, Hannu Häkkinen, Tommi Kärkkäinen
Knowledge Discovery from Atomic Structures using Feature Importances. CoRR (2023)
Joonas Hämäläinen, Amauri H. de Souza, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen
Minimal Learning Machine for Multi-Label Learning. CoRR (2023)
Joakim Linja, Joonas Hämäläinen, Paavo Nieminen, Tommi Kärkkäinen
Feature selection for distance-based regression: An umbrella review and a one-shot wrapper. Neurocomputing 518 (2023)
Joonas Hämäläinen, Tommi Kärkkäinen, Tuomo Rossi
Improving Scalable K-Means++. Algorithms 14 (1) (2021)
Antti Pihlajamäki, Joakim Linja, Joonas Hämäläinen, Paavo Nieminen, Sami Malola, Tommi Kärkkäinen, Hannu Häkkinen
Orientation Adaptive Minimal Learning Machine for Directions of Atomic Forces. ESANN (2021)
Joonas Hämäläinen, Paavo Nieminen, Tommi Kärkkäinen
Instance-Based Multi-Label Classification via Multi-Target Distance Regression. ESANN (2021)
Joonas Hämäläinen, Tommi Kärkkäinen
Problem Transformation Methods with Distance-Based Learning for Multi-Target Regression. ESANN (2020)
Joonas Hämäläinen, Tommi Kärkkäinen, Tuomo Rossi
Scalable Initialization Methods for Large-Scale Clustering. CoRR (2020)
Joakim Linja, Joonas Hämäläinen, Paavo Nieminen, Tommi Kärkkäinen
Do Randomized Algorithms Improve the Efficiency of Minimal Learning Machine? Mach. Learn. Knowl. Extr. 2 (4) (2020)
Joonas Hämäläinen, Alisson S. C. Alencar, Tommi Kärkkäinen, César L. C. Mattos, Amauri H. Souza Júnior, João P. P. Gomes
Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection. CoRR (2019)
Joonas Hämäläinen, Tommi Kärkkäinen, Tuomo Rossi
Scalable robust clustering method for large and sparse data. ESANN (2018)
Mirka Saarela, Joonas Hämäläinen, Tommi Kärkkäinen
Feature Ranking of Large, Robust, and Weighted Clustering Result. PAKDD (1) (2017)
Joonas Hämäläinen, Susanne Jauhiainen, Tommi Kärkkäinen
Comparison of Internal Clustering Validation Indices for Prototype-Based Clustering. Algorithms 10 (3) (2017)
Joonas Hämäläinen, Tommi Kärkkäinen
Initialization of big data clustering using distributionally balanced folding. ESANN (2016)