Ilkka Kivimäki

According to our database1, Ilkka Kivimäki authored at least 16 papers between 2010 and 2023.

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

Timeline

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Links

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Bibliography

2023
Relative entropy-regularized optimal transport on a graph: a new algorithm and an experimental comparison.
Int. J. Mach. Learn. Cybern., April, 2023

2021
Randomized shortest paths with net flows and capacity constraints.
Inf. Sci., 2021

2020
A Non-negative Matrix Factorization Based Method for Quantifying Rhythms of Activity and Sleep and Chronotypes Using Mobile Phone Data.
CoRR, 2020

Maximum likelihood estimation for randomized shortest paths with trajectory data.
J. Complex Networks, 2020

2019
Randomized optimal transport on a graph: framework and new distance measures.
Netw. Sci., 2019

Graph-Based Fraud Detection with the Free Energy Distance.
Proceedings of the Complex Networks and Their Applications VIII, 2019

2018
Distances, centralities and model estimation methods based on randomized shortest paths for network data analysis.
PhD thesis, 2018

A Constrained Randomized Shortest-Paths Framework for Optimal Exploration.
CoRR, 2018

2017
A bag-of-paths framework for network data analysis.
Neural Networks, 2017

2015
Two betweenness centrality measures based on Randomized Shortest Paths.
CoRR, 2015

2014
Semisupervised Classification Through the Bag-of-Paths Group Betweenness.
IEEE Trans. Neural Networks Learn. Syst., 2014

Random walks based modularity: application to semi-supervised learning.
Proceedings of the 23rd International World Wide Web Conference, 2014

2013
A Graph-Based Approach to Skill Extraction from Text.
Proceedings of TextGraphs@EMNLP 2013: the 8th Workshop on Graph-based Methods for Natural Language Processing, 2013

2012
Semi-Supervised Classification Through the Bag-of-Paths Group Betweenness
CoRR, 2012

2011
Effect of Dimensionality Reduction on Different Distance Measures in Document Clustering.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
Using Correlation Dimension for Analysing Text Data.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010


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