Mario Boley

ORCID

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 33

Top Venues

CoRR

ICDM

SDM

Data Min. Knowl. Discov.

University of Bonn (PHD)

Education History

University of Bonn

PHD

Publications

Yun Zhao, Mario Boley, Andria Pelentritou, William Woods, David T. J. Liley, Levin Kuhlmann
Inference-based time-resolved stability analysis of nonlinear whole-cortex modeling: application to Xenon anaesthesia. EMBC (2023)
Mario Boley, Felix Luong, Simon Teshuva, Daniel F. Schmidt, Lucas Foppa, Matthias Scheffler
From Prediction to Action: The Critical Role of Proper Performance Estimation for Machine-Learning-Driven Materials Discovery. CoRR (2023)
Shu Yu Tew, Mario Boley, Daniel F. Schmidt
Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization. NeurIPS (2023)
Yiwen Lu, Dilek Yalcin, Paul J. Pigram, Lewis D. Blackman, Mario Boley
Interpretable Machine Learning Models for Phase Prediction in Polymerization-Induced Self-Assembly. J. Chem. Inf. Model. 63 (11) (2023)
Yun Zhao, Felix Luong, Simon Teshuva, Andria Pelentritou, William Woods, David T. J. Liley, Daniel F. Schmidt, Mario Boley, Levin Kuhlmann
Improved Neurophysiological Process Imaging Through Optimization of Kalman Filter Initial Conditions. Int. J. Neural Syst. 33 (5) (2023)
Shu Yu Tew, Mario Boley, Daniel F. Schmidt
Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization. CoRR (2023)
Maurice Ntahobari, Levin Kuhlmann, Mario Boley, Zhinoos Razavi Hesabi
Enhanced Extra Trees Classifier for Epileptic Seizure Prediction. ICSPIS (2022)
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
Space-time resolved inference-based neurophysiological process imaging: Application to resting-state alpha rhythm. NeuroImage 263 (2022)
Mario Boley, Simon Teshuva, Pierre Le Bodic, Geoffrey I. Webb
Better Short than Greedy: Interpretable Models through Optimal Rule Boosting. SDM (2021)
Henning Petzka, Michael Kamp, Linara Adilova, Cristian Sminchisescu, Mario Boley
Relative Flatness and Generalization. NeurIPS (2021)
Mario Boley, Simon Teshuva, Pierre Le Bodic, Geoffrey I. Webb
Better Short than Greedy: Interpretable Models through Optimal Rule Boosting. CoRR (2021)
Kailash Budhathoki, Mario Boley, Jilles Vreeken
Discovering Reliable Causal Rules. SDM (2021)
Panagiotis Mandros, David Kaltenpoth, Mario Boley, Jilles Vreeken
Discovering Functional Dependencies from Mixed-Type Data. KDD (2020)
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Discovering dependencies with reliable mutual information. Knowl. Inf. Syst. 62 (11) (2020)
Kailash Budhathoki, Mario Boley, Jilles Vreeken
Discovering Reliable Causal Rules. CoRR (2020)
Michael Kamp, Mario Boley, Michael Mock, Daniel Keren, Assaf Schuster, Izchak Sharfman
Adaptive Communication Bounds for Distributed Online Learning. CoRR (2019)
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Discovering Reliable Correlations in Categorical Data. ICDM (2019)
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Discovering Reliable Correlations in Categorical Data. CoRR (2019)
Janis Kalofolias, Mario Boley, Jilles Vreeken
Discovering Robustly Connected Subgraphs with Simple Descriptions. ICDM (2019)
Michael Kamp, Sebastian Bothe, Mario Boley, Michael Mock
Communication-Efficient Distributed Online Learning with Kernels. CoRR (2019)
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. IJCAI (2019)
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. ICDM (2018)
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. CoRR (2018)
Michael Kamp, Mario Boley, Olana Missura, Thomas Gärtner
Effective Parallelisation for Machine Learning. CoRR (2018)
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Discovering Reliable Approximate Functional Dependencies. CoRR (2017)
Janis Kalofolias, Mario Boley, Jilles Vreeken
Efficiently Discovering Locally Exceptional Yet Globally Representative Subgroups. ICDM (2017)
Janis Kalofolias, Mario Boley, Jilles Vreeken
Efficiently Discovering Locally Exceptional yet Globally Representative Subgroups. CoRR (2017)
Panagiotis Mandros, Mario Boley, Jilles Vreeken
Discovering Reliable Approximate Functional Dependencies. KDD (2017)
Michael Kamp, Mario Boley, Olana Missura, Thomas Gärtner
Effective Parallelisation for Machine Learning. NIPS (2017)
Mario Boley, Bryan R. Goldsmith, Luca M. Ghiringhelli, Jilles Vreeken
Identifying consistent statements about numerical data with dispersion-corrected subgroup discovery. Data Min. Knowl. Discov. 31 (5) (2017)
Mario Boley, Bryan R. Goldsmith, Luca M. Ghiringhelli, Jilles Vreeken
Identifying Consistent Statements about Numerical Data with Dispersion-Corrected Subgroup Discovery. CoRR (2017)
Michael Kamp, Sebastian Bothe, Mario Boley, Michael Mock
Communication-Efficient Distributed Online Learning with Kernels. ECML/PKDD (2) (2016)
Daniel Trabold, Mario Boley, Michael Mock, Tamás Horváth
In-Stream Frequent Itemset Mining With Output Proportional Memory Footprint. LWA (2015)
Michael Kamp, Mario Boley, Thomas Gärtner
Beating Human Analysts in Nowcasting Corporate Earnings by using Publicly Available Stock Price and Correlation Features. SDM (2014)
Michael Kamp, Mario Boley, Daniel Keren, Assaf Schuster, Izchak Sharfman
Communication-Efficient Distributed Online Prediction by Dynamic Model Synchronization. ECML/PKDD (1) (2014)
Eirini Spyropoulou, Tijl De Bie, Mario Boley
Interesting pattern mining in multi-relational data. Data Min. Knowl. Discov. 28 (3) (2014)
Sandy Moens, Mario Boley
Instant Exceptional Model Mining Using Weighted Controlled Pattern Sampling. IDA (2014)
Sandy Moens, Mario Boley, Bart Goethals
Providing Concise Database Covers Instantly by Recursive Tile Sampling. Discovery Science (2014)
Mario Boley, Michael Mampaey, Bo Kang, Pavel Tokmakov, Stefan Wrobel
One click mining: interactive local pattern discovery through implicit preference and performance learning. IDEA@KDD (2013)
Mario Boley, Michael Kamp, Daniel Keren, Assaf Schuster, Izchak Sharfman
Communication-Efficient Distributed Online Prediction using Dynamic Model Synchronizations. BD3@VLDB (2013)
Michael Kamp, Mario Boley, Thomas Gärtner
Beating Human Analysts in Nowcasting Corporate Earnings by Using Publicly Available Stock Price and Correlation Features. ICDM Workshops (2013)
Michael Kamp, Christine Kopp, Michael Mock, Mario Boley, Michael May
Privacy-Preserving Mobility Monitoring Using Sketches of Stationary Sensor Readings. ECML/PKDD (3) (2013)
Eirini Spyropoulou, Tijl De Bie, Mario Boley
Mining Interesting Patterns in Multi-relational Data with N-ary Relationships. Discovery Science (2013)
Mario Boley, Sandy Moens, Thomas Gärtner
Linear space direct pattern sampling using coupling from the past. KDD (2012)
Shankar Vembu, Thomas Gärtner, Mario Boley
Probabilistic Structured Predictors CoRR (2012)
Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner
Direct local pattern sampling by efficient two-step random procedures. KDD (2011)
Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner
Direct Pattern Sampling with Respect to Pattern Frequency. LWA (2011)
Mario Boley, Thomas Gärtner, Henrik Grosskreutz
Formal Concept Sampling for Counting and Threshold-Free Local Pattern Mining. SDM (2010)
Henrik Grosskreutz, Mario Boley, Maike Krause-Traudes
Subgroup Discovery for Election Analysis: A Case Study in Descriptive Data Mining. Discovery Science (2010)
Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel
Listing closed sets of strongly accessible set systems with applications to data. LWA (2010)
Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel
Listing closed sets of strongly accessible set systems with applications to data mining. Theor. Comput. Sci. 411 (3) (2010)
Mario Boley, Thomas Gärtner
On the Complexity of Constraint-Based Theory Extraction. Discovery Science (2009)
Shankar Vembu, Thomas Gärtner, Mario Boley
Probabilistic Structured Predictors. UAI (2009)
Mario Boley, Henrik Grosskreutz
Non-redundant Subgroup Discovery Using a Closure System. ECML/PKDD (1) (2009)
Mario Boley, Tamás Horváth, Stefan Wrobel
Efficient Discovery of Interesting Patterns Based on Strong Closedness. SDM (2009)
Mario Boley, Tamás Horváth, Stefan Wrobel
Efficient discovery of interesting patterns based on strong closedness. Stat. Anal. Data Min. 2 (5-6) (2009)
Mario Boley, Henrik Grosskreutz
Approximating the number of frequent sets in dense data. Knowl. Inf. Syst. 21 (1) (2009)
Mario Boley, Henrik Grosskreutz
A Randomized Approach for Approximating the Number of Frequent Sets. ICDM (2008)
Mario Boley
On Approximating Minimum Infrequent and Maximum Frequent Sets. Discovery Science (2007)
Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel
Efficient Closed Pattern Mining in Strongly Accessible Set Systems. MLG (2007)
Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel
Efficient Closed Pattern Mining in Strongly Accessible Set Systems (Extended Abstract). PKDD (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mario Boley