Paavo Nieminen

According to our database1, Paavo Nieminen authored at least 15 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Feature selection for distance-based regression: An umbrella review and a one-shot wrapper.
Neurocomputing, 2023

2021
Detection of developmental dyslexia with machine learning using eye movement data.
Array, 2021

Orientation Adaptive Minimal Learning Machine for Directions of Atomic Forces.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Instance-Based Multi-Label Classification via Multi-Target Distance Regression.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020
Do Randomized Algorithms Improve the Efficiency of Minimal Learning Machine?
Mach. Learn. Knowl. Extr., 2020

Incorporating teacher-student dialogue into digital course material: Usage patterns and first experiences.
Proceedings of the IEEE Frontiers in Education Conference, 2020

Exploring Creativity Expectation in CS1 Students' View of Programming.
Proceedings of the IEEE Frontiers in Education Conference, 2020

2018
Semi-automatic literature mapping of participatory design studies 2006-2016.
Proceedings of the 15th Participatory Design Conference: Short Papers, Situated Actions, Workshops and Tutorial, 2018

How do Academics Experience Use of Recorded Audio Feedback in Higher Education? A Thematic Analysis.
Proceedings of the IEEE Frontiers in Education Conference, 2018

2017
Towards proactive context-aware self-healing for 5G networks.
Comput. Networks, 2017

2016
Multicriteria optimized MLP for imbalanced learning.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2013
Research literature clustering using diffusion maps.
J. Informetrics, 2013

2011
Neural Prediction of Product Quality Based on Pilot Paper Machine Process Measurements.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2010
Comparison of MLP cost functions to dodge mislabeled training data.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009


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