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Greedily Improving Our Own Closeness Centrality in a Network

ACM transactions on knowledge discovery from data, 2016-08, Vol.11 (1), p.1-32

2016

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Improving the Betweenness Centrality of a Node by Adding Links

The ACM journal of experimental algorithmics, 2018-11, Vol.23, p.1-32

2018

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Mining Data for Financial Applications: 5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers

1st ed. 2021., 2021

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Greedily Improving Our Own Centrality in A Network

Experimental Algorithms, p.43-55

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Recommending links through influence maximization

Theoretical computer science, 2019-04, Vol.764, p.30-41

2019

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Distance-generalized Core Decomposition

Proceedings of the 2019 International Conference on Management of Data, 2019, p.1006-1023

2019

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On the Maximum Betweenness Improvement Problem

Electronic notes in theoretical computer science, 2016-04, Vol.322, p.153-168

2016

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II

1st Edition 2023, 2023

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases Part I: International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings

2023

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I

1, 2023

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Mining Data for Financial Applications: 5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers

2021

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I

1, 2022

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Multi-objective Particle Swarm Optimization for Feature Selection in Credit Scoring

Mining Data for Financial Applications, 2021, Vol.12591, p.68-76

2021

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Towards the Prediction of Electricity Prices at the Intraday Market Using Shallow and Deep-Learning Methods

Mining Data for Financial Applications, 2021, Vol.12591, p.101-118

2021

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Neither in the Programs Nor in the Data: Mining the Hidden Financial Knowledge with Knowledge Graphs and Reasoning

Mining Data for Financial Applications, 2021, Vol.12591, p.119-134

2021

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Financial Fraud Detection with Improved Neural Arithmetic Logic Units

Mining Data for Financial Applications, 2021, Vol.12591, p.40-54

2021

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A Comparative Analysis of Temporal Long Text Similarity: Application to Financial Documents

Mining Data for Financial Applications, 2021, Vol.12591, p.77-91

2021

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Trade Selection with Supervised Learning and Optimal Coordinate Ascent (OCA)

Mining Data for Financial Applications, 2021, Vol.12591, p.1-15

2021

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Ranking Cryptocurrencies by Brand Importance: A Social Media Analysis in ENEAGRID

Mining Data for Financial Applications, 2021, Vol.12591, p.92-100

2021

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How Much Does Stock Prediction Improve with Sentiment Analysis?

Mining Data for Financial Applications, 2021, Vol.12591, p.16-31

2021

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Information Extraction From the GDELT Database to Analyse EU Sovereign Bond Markets

Mining Data for Financial Applications, 2021, Vol.12591, p.55-67

2021

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Applying Machine Learning to Predict Closing Prices in Stock Market: A Case Study

Mining Data for Financial Applications, 2021, Vol.12591, p.32-39

2021

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Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting

Mining Data for Financial Applications, 2021, Vol.12591, p.135-149

2021

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part I

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part II

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Einstellungen

Greedily Improving Our Own Closeness Centrality in a Network

Improving the Betweenness Centrality of a Node by Adding Links

Mining Data for Financial Applications: 5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers

Greedily Improving Our Own Centrality in A Network

Recommending links through influence maximization

Distance-generalized Core Decomposition

On the Maximum Betweenness Improvement Problem

Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II

Machine Learning and Principles and Practice of Knowledge Discovery in Databases Part I: International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings

Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I

Mining Data for Financial Applications: 5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers

Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I

Multi-objective Particle Swarm Optimization for Feature Selection in Credit Scoring

Towards the Prediction of Electricity Prices at the Intraday Market Using Shallow and Deep-Learning Methods

Neither in the Programs Nor in the Data: Mining the Hidden Financial Knowledge with Knowledge Graphs and Reasoning

Financial Fraud Detection with Improved Neural Arithmetic Logic Units

A Comparative Analysis of Temporal Long Text Similarity: Application to Financial Documents

Trade Selection with Supervised Learning and Optimal Coordinate Ascent (OCA)

Ranking Cryptocurrencies by Brand Importance: A Social Media Analysis in ENEAGRID

How Much Does Stock Prediction Improve with Sentiment Analysis?

Information Extraction From the GDELT Database to Analyse EU Sovereign Bond Markets

Applying Machine Learning to Predict Closing Prices in Stock Market: A Case Study

Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting

Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part I

Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part II

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