Search Results for author: Joonas Hämäläinen

Found 5 papers, 2 papers with code

Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT and GPT-4 for Mining Insights at Scale

no code implementations8 Jun 2023 Jonas Oppenlaender, Joonas Hämäläinen

In this paper, we apply and evaluate the combination of ChatGPT and GPT-4 for the real-world task of mining insights from a text corpus in order to identify research challenges in the field of HCI.

Extractive Question-Answering Question Answering

Minimal Learning Machine for Multi-Label Learning

1 code implementation9 May 2023 Joonas Hämäläinen, Amauri Souza, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen

Distance-based supervised method, the minimal learning machine, constructs a predictive model from data by learning a mapping between input and output distance matrices.

Multi-Label Classification Multi-Label Learning

Knowledge Discovery from Atomic Structures using Feature Importances

no code implementations28 Feb 2023 Joakim Linja, Joonas Hämäläinen, Antti Pihlajamäki, Paavo Nieminen, Sami Malola, Hannu Häkkinen, Tommi Kärkkäinen

Molecular-level understanding of the interactions between the constituents of an atomic structure is essential for designing novel materials in various applications.

Interpretable Machine Learning

Scalable Initialization Methods for Large-Scale Clustering

2 code implementations23 Jul 2020 Joonas Hämäläinen, Tommi Kärkkäinen, Tuomo Rossi

In the experiments, comparison of the proposed methods to the K-means++ and K-means|| methods is conducted using an extensive set of reference and synthetic large-scale datasets.


Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection

no code implementations22 Sep 2019 Joonas Hämäläinen, Alisson S. C. Alencar, Tommi Kärkkäinen, César L. C. Mattos, Amauri H. Souza Júnior, João P. P. Gomes

Specifically, for a small number of reference points, the clustering-based methods outperformed the standard random selection of the original MLM formulation.


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