Mario Boley

According to our database, Mario Boley authored at least 50 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Inference-based time-resolved chaos analysis of brain models: application to focal epilepsy.

Yun Zhao, David B. Grayden, Mario Boley, Yueyang Liu, Philippa J. Karoly, Mark J. Cook, Levin Kuhlmann

Proceedings of the 27th International Conference on Information Fusion, 2024

Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles.

Fan Yang, Pierre Le Bodic, Michael Kamp, Mario Boley

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Interpretable Machine Learning Models for Phase Prediction in Polymerization-Induced Self-Assembly.

Yiwen Lu, Dilek Yalcin, Paul J. Pigram, Lewis D. Blackman, Mario Boley

J. Chem. Inf. Model., June, 2023

Improved Neurophysiological Process Imaging Through Optimization of Kalman Filter Initial Conditions.

Yun Zhao, Felix Luong, Simon Teshuva, Andria Pelentritou, William Woods, David T. J. Liley, Daniel F. Schmidt, Mario Boley, Levin Kuhlmann

Int. J. Neural Syst., 2023

From Prediction to Action: The Critical Role of Proper Performance Estimation for Machine-Learning-Driven Materials Discovery.

Mario Boley, Felix Luong, Simon Teshuva, Daniel F. Schmidt, Lucas Foppa, Matthias Scheffler

CoRR, 2023

Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization.

Shu Yu Tew, Mario Boley, Daniel F. Schmidt

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Inference-based time-resolved stability analysis of nonlinear whole-cortex modeling: application to Xenon anaesthesia.

Yun Zhao, Mario Boley, Andria Pelentritou, William Woods, David T. J. Liley, Levin Kuhlmann

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Space-time resolved inference-based neurophysiological process imaging: Application to resting-state alpha rhythm.

Yun Zhao, Mario Boley, Andria Pelentritou, Philippa J. Karoly, Dean R. Freestone, Yueyang Liu, Suresh D. Muthukumaraswamy, William Woods, David T. J. Liley, Levin Kuhlmann

NeuroImage, 2022

Enhanced Extra Trees Classifier for Epileptic Seizure Prediction.

Maurice Ntahobari, Levin Kuhlmann, Mario Boley, Zhinoos Razavi Hesabi

Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022

2021

Discovering Reliable Causal Rules.

Kailash Budhathoki, Mario Boley, Jilles Vreeken

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Better Short than Greedy: Interpretable Models through Optimal Rule Boosting.

Mario Boley, Simon Teshuva, Pierre Le Bodic, Geoffrey I. Webb

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Relative Flatness and Generalization.

Henning Petzka, Michael Kamp, Linara Adilova, Cristian Sminchisescu, Mario Boley

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Discovering dependencies with reliable mutual information.

Panagiotis Mandros, Mario Boley, Jilles Vreeken

Knowl. Inf. Syst., 2020

Discovering Functional Dependencies from Mixed-Type Data.

Panagiotis Mandros, David Kaltenpoth, Mario Boley, Jilles Vreeken

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Adaptive Communication Bounds for Distributed Online Learning.

Michael Kamp, Mario Boley, Michael Mock, Daniel Keren, Assaf Schuster, Izchak Sharfman

CoRR, 2019

Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms.

Panagiotis Mandros, Mario Boley, Jilles Vreeken

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Discovering Reliable Correlations in Categorical Data.

Panagiotis Mandros, Mario Boley, Jilles Vreeken

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Discovering Robustly Connected Subgraphs with Simple Descriptions.

Janis Kalofolias, Mario Boley, Jilles Vreeken

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2017

Identifying consistent statements about numerical data with dispersion-corrected subgroup discovery.

Mario Boley, Bryan R. Goldsmith, Luca M. Ghiringhelli, Jilles Vreeken

Data Min. Knowl. Discov., 2017

Effective Parallelisation for Machine Learning.

Michael Kamp, Mario Boley, Olana Missura, Thomas Gärtner

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Discovering Reliable Approximate Functional Dependencies.

Panagiotis Mandros, Mario Boley, Jilles Vreeken

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Efficiently Discovering Locally Exceptional Yet Globally Representative Subgroups.

Janis Kalofolias, Mario Boley, Jilles Vreeken

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Communication-Efficient Distributed Online Learning with Kernels.

Michael Kamp, Sebastian Bothe, Mario Boley, Michael Mock

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015

In-Stream Frequent Itemset Mining With Output Proportional Memory Footprint.

Daniel Trabold, Mario Boley, Michael Mock, Tamás Horváth

Proceedings of the LWA 2015 Workshops: KDML, 2015

2014

Interesting pattern mining in multi-relational data.

Eirini Spyropoulou, Tijl De Bie, Mario Boley

Data Min. Knowl. Discov., 2014

Communication-Efficient Distributed Online Prediction by Dynamic Model Synchronization.

Michael Kamp, Mario Boley, Daniel Keren, Assaf Schuster, Izchak Sharfman

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Instant Exceptional Model Mining Using Weighted Controlled Pattern Sampling.

Sandy Moens, Mario Boley

Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

Providing Concise Database Covers Instantly by Recursive Tile Sampling.

Sandy Moens, Mario Boley, Bart Goethals

Proceedings of the Discovery Science - 17th International Conference, 2014

2013

Communication-Efficient Distributed Online Prediction using Dynamic Model Synchronizations.

Mario Boley, Michael Kamp, Daniel Keren, Assaf Schuster, Izchak Sharfman

Proceedings of the First International Workshop on Big Dynamic Distributed Data, 2013

Privacy-Preserving Mobility Monitoring Using Sketches of Stationary Sensor Readings.

Michael Kamp, Christine Kopp, Michael Mock, Mario Boley, Michael May

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

One click mining: interactive local pattern discovery through implicit preference and performance learning.

Mario Boley, Michael Mampaey, Bo Kang, Pavel Tokmakov, Stefan Wrobel

Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013

Beating Human Analysts in Nowcasting Corporate Earnings by Using Publicly Available Stock Price and Correlation Features.

Michael Kamp, Mario Boley, Thomas Gärtner

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Mining Interesting Patterns in Multi-relational Data with N-ary Relationships.

Eirini Spyropoulou, Tijl De Bie, Mario Boley

Proceedings of the Discovery Science - 16th International Conference, 2013

2012

Linear space direct pattern sampling using coupling from the past.

Mario Boley, Sandy Moens, Thomas Gärtner

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

Direct Pattern Sampling with Respect to Pattern Frequency.

Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner

Proceedings of the Report of the symposium "Lernen, 2011

Direct local pattern sampling by efficient two-step random procedures.

Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010

The Efficient Discovery of Interesting Closed Pattern Collections.

Mario Boley

PhD thesis, 2010

Listing closed sets of strongly accessible set systems with applications to data mining.

Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel

Theor. Comput. Sci., 2010

Formal Concept Sampling for Counting and Threshold-Free Local Pattern Mining.

Mario Boley, Thomas Gärtner, Henrik Grosskreutz

Proceedings of the SIAM International Conference on Data Mining, 2010

Listing closed sets of strongly accessible set systems with applications to data.

Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel

Proceedings of the LWA 2010, 2010

Subgroup Discovery for Election Analysis: A Case Study in Descriptive Data Mining.

Henrik Grosskreutz, Mario Boley, Maike Krause-Traudes

Proceedings of the Discovery Science - 13th International Conference, 2010

2009

Efficient discovery of interesting patterns based on strong closedness.

Mario Boley, Tamás Horváth, Stefan Wrobel

Stat. Anal. Data Min., 2009

Approximating the number of frequent sets in dense data.

Mario Boley, Henrik Grosskreutz

Knowl. Inf. Syst., 2009

Probabilistic Structured Predictors.

Shankar Vembu, Thomas Gärtner, Mario Boley

Proceedings of the UAI 2009, 2009

Non-redundant Subgroup Discovery Using a Closure System.

Mario Boley, Henrik Grosskreutz

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

On the Complexity of Constraint-Based Theory Extraction.

Mario Boley, Thomas Gärtner

Proceedings of the Discovery Science, 12th International Conference, 2009

2008

A Randomized Approach for Approximating the Number of Frequent Sets.

Mario Boley, Henrik Grosskreutz

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Efficient Closed Pattern Mining in Strongly Accessible Set Systems (Extended Abstract).

Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Efficient Closed Pattern Mining in Strongly Accessible Set Systems.

Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel

Proceedings of the Mining and Learning with Graphs, 2007

On Approximating Minimum Infrequent and Maximum Frequent Sets.

Mario Boley

Proceedings of the Discovery Science, 10th International Conference, 2007