Mario Boley - RankMe

72 papers A* 12A 7B 6C 1Journal 27Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	GRASP: Grouped Regression with Adaptive Shrinkage Priors. CoRR Shu Yu Tew, Daniel F. Schmidt, Mario Boley
2025	—	`conf`	Gradient Boosting Versus Mixed Integer Programming for Sparse Additive Modeling. ECML/PKDD (4) Fan Yang, Pierre Le Bodic, Mario Boley
2025	J	`jnl`	Improving Random Forests by Smoothing. CoRR Ziyi Liu, Phuc Luong, Mario Boley, Daniel F. Schmidt
2025	J	`jnl`	Interpretable Representation Learning for Additive Rule Ensembles. CoRR Shahrzad Behzadimanesh, Pierre Le Bodic, Geoffrey I. Webb, Mario Boley
2025	J	`jnl`	Layer-to-Layer Knowledge Mixing in Graph Neural Network for Chemical Property Prediction. CoRR Teng Jiek See, Daokun Zhang, Mario Boley, David K. Chalmers
2024	C	`conf`	Inference-based time-resolved chaos analysis of brain models: application to focal epilepsy. FUSION Yun Zhao, David B. Grayden, Mario Boley, Yueyang Liu, Philippa J. Karoly, Mark J. Cook, Levin Kuhlmann
2024	A	`conf`	Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles. AISTATS Fan Yang, Pierre Le Bodic, Michael Kamp, Mario Boley
2024	J	`jnl`	Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles. CoRR Fan Yang, Pierre Le Bodic, Michael Kamp, Mario Boley
2023	A*	`conf`	Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization. NeurIPS Shu Yu Tew, Mario Boley, Daniel F. Schmidt
2023	J	`jnl`	Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization. CoRR Shu Yu Tew, Mario Boley, Daniel F. Schmidt
2023	J	`jnl`	From Prediction to Action: The Critical Role of Proper Performance Estimation for Machine-Learning-Driven Materials Discovery. CoRR Mario Boley, Felix Luong, Simon Teshuva, Daniel F. Schmidt, Lucas Foppa, Matthias Scheffler
2023	J	`jnl`	Improved Neurophysiological Process Imaging Through Optimization of Kalman Filter Initial Conditions. Int. J. Neural Syst. Yun Zhao, Felix Luong, Simon Teshuva, Andria Pelentritou, William Woods, David T. J. Liley, Daniel F. Schmidt, Mario Boley, Levin Kuhlmann
2023	—	`conf`	Inference-based time-resolved stability analysis of nonlinear whole-cortex modeling: application to Xenon anaesthesia. EMBC Yun Zhao, Mario Boley, Andria Pelentritou, William Woods, David T. J. Liley, Levin Kuhlmann
2023	J	`jnl`	Interpretable Machine Learning Models for Phase Prediction in Polymerization-Induced Self-Assembly. J. Chem. Inf. Model. Yiwen Lu, Dilek Yalcin, Paul J. Pigram, Lewis D. Blackman, Mario Boley
2022	—	`conf`	Enhanced Extra Trees Classifier for Epileptic Seizure Prediction. ICSPIS Maurice Ntahobari, Levin Kuhlmann, Mario Boley, Zhinoos Razavi Hesabi
2022	J	`jnl`	Space-time resolved inference-based neurophysiological process imaging: Application to resting-state alpha rhythm. NeuroImage 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
2021	A	`conf`	Better Short than Greedy: Interpretable Models through Optimal Rule Boosting. SDM Mario Boley, Simon Teshuva, Pierre Le Bodic, Geoffrey I. Webb
2021	J	`jnl`	Better Short than Greedy: Interpretable Models through Optimal Rule Boosting. CoRR Mario Boley, Simon Teshuva, Pierre Le Bodic, Geoffrey I. Webb
2021	A	`conf`	Discovering Reliable Causal Rules. SDM Kailash Budhathoki, Mario Boley, Jilles Vreeken
2021	A*	`conf`	Relative Flatness and Generalization. NeurIPS Henning Petzka, Michael Kamp, Linara Adilova, Cristian Sminchisescu, Mario Boley
2020	A*	`conf`	Discovering Functional Dependencies from Mixed-Type Data. KDD Panagiotis Mandros, David Kaltenpoth, Mario Boley, Jilles Vreeken
2020	J	`jnl`	Discovering Reliable Causal Rules. CoRR Kailash Budhathoki, Mario Boley, Jilles Vreeken
2020	J	`jnl`	Discovering dependencies with reliable mutual information. Knowl. Inf. Syst. Panagiotis Mandros, Mario Boley, Jilles Vreeken
2019	J	`jnl`	Adaptive Communication Bounds for Distributed Online Learning. CoRR Michael Kamp, Mario Boley, Michael Mock, Daniel Keren, Assaf Schuster, Izchak Sharfman
2019	J	`jnl`	Communication-Efficient Distributed Online Learning with Kernels. CoRR Michael Kamp, Sebastian Bothe, Mario Boley, Michael Mock
2019	A*	`conf`	Discovering Reliable Correlations in Categorical Data. ICDM Panagiotis Mandros, Mario Boley, Jilles Vreeken
2019	J	`jnl`	Discovering Reliable Correlations in Categorical Data. CoRR Panagiotis Mandros, Mario Boley, Jilles Vreeken
2019	A*	`conf`	Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. IJCAI Panagiotis Mandros, Mario Boley, Jilles Vreeken
2019	A*	`conf`	Discovering Robustly Connected Subgraphs with Simple Descriptions. ICDM Janis Kalofolias, Mario Boley, Jilles Vreeken
2018	A*	`conf`	Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. ICDM Panagiotis Mandros, Mario Boley, Jilles Vreeken
2018	J	`jnl`	Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. CoRR Panagiotis Mandros, Mario Boley, Jilles Vreeken
2018	J	`jnl`	Effective Parallelisation for Machine Learning. CoRR Michael Kamp, Mario Boley, Olana Missura, Thomas Gärtner
2017	A*	`conf`	Discovering Reliable Approximate Functional Dependencies. KDD Panagiotis Mandros, Mario Boley, Jilles Vreeken
2017	J	`jnl`	Discovering Reliable Approximate Functional Dependencies. CoRR Panagiotis Mandros, Mario Boley, Jilles Vreeken
2017	—	`conf`	Effective Parallelisation for Machine Learning. NIPS Michael Kamp, Mario Boley, Olana Missura, Thomas Gärtner
2017	A*	`conf`	Efficiently Discovering Locally Exceptional Yet Globally Representative Subgroups. ICDM Janis Kalofolias, Mario Boley, Jilles Vreeken
2017	J	`jnl`	Efficiently Discovering Locally Exceptional yet Globally Representative Subgroups. CoRR Janis Kalofolias, Mario Boley, Jilles Vreeken
2017	J	`jnl`	Identifying Consistent Statements about Numerical Data with Dispersion-Corrected Subgroup Discovery. CoRR Mario Boley, Bryan R. Goldsmith, Luca M. Ghiringhelli, Jilles Vreeken
2017	J	`jnl`	Identifying consistent statements about numerical data with dispersion-corrected subgroup discovery. Data Min. Knowl. Discov. Mario Boley, Bryan R. Goldsmith, Luca M. Ghiringhelli, Jilles Vreeken
2016	—	`conf`	Communication-Efficient Distributed Online Learning with Kernels. ECML/PKDD (2) Michael Kamp, Sebastian Bothe, Mario Boley, Michael Mock
2015	—	`conf`	In-Stream Frequent Itemset Mining With Output Proportional Memory Footprint. LWA Daniel Trabold, Mario Boley, Michael Mock, Tamás Horváth
2014	A	`conf`	Beating Human Analysts in Nowcasting Corporate Earnings by using Publicly Available Stock Price and Correlation Features. SDM Michael Kamp, Mario Boley, Thomas Gärtner
2014	—	`conf`	Communication-Efficient Distributed Online Prediction by Dynamic Model Synchronization. ECML/PKDD (1) Michael Kamp, Mario Boley, Daniel Keren, Assaf Schuster, Izchak Sharfman
2014	B	`conf`	Instant Exceptional Model Mining Using Weighted Controlled Pattern Sampling. IDA Sandy Moens, Mario Boley
2014	J	`jnl`	Interesting pattern mining in multi-relational data. Data Min. Knowl. Discov. Eirini Spyropoulou, Tijl De Bie, Mario Boley
2014	B	`conf`	Providing Concise Database Covers Instantly by Recursive Tile Sampling. Discovery Science Sandy Moens, Mario Boley, Bart Goethals
2013	—	`conf`	Beating Human Analysts in Nowcasting Corporate Earnings by Using Publicly Available Stock Price and Correlation Features. ICDM Workshops Michael Kamp, Mario Boley, Thomas Gärtner
2013	—	`conf`	Communication-Efficient Distributed Online Prediction using Dynamic Model Synchronizations. BD3@VLDB Mario Boley, Michael Kamp, Daniel Keren, Assaf Schuster, Izchak Sharfman
2013	B	`conf`	Mining Interesting Patterns in Multi-relational Data with N-ary Relationships. Discovery Science Eirini Spyropoulou, Tijl De Bie, Mario Boley
2013	—	`conf`	One click mining: interactive local pattern discovery through implicit preference and performance learning. IDEA@KDD Mario Boley, Michael Mampaey, Bo Kang, Pavel Tokmakov, Stefan Wrobel
2013	—	`conf`	Privacy-Preserving Mobility Monitoring Using Sketches of Stationary Sensor Readings. ECML/PKDD (3) Michael Kamp, Christine Kopp, Michael Mock, Mario Boley, Michael May
2012	A*	`conf`	Linear space direct pattern sampling using coupling from the past. KDD Mario Boley, Sandy Moens, Thomas Gärtner
2012	J	`jnl`	Probabilistic Structured Predictors CoRR Shankar Vembu, Thomas Gärtner, Mario Boley
2011	—	`conf`	Direct Pattern Sampling with Respect to Pattern Frequency. LWA Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner
2011	A*	`conf`	Direct local pattern sampling by efficient two-step random procedures. KDD Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner
2010	A	`conf`	Formal Concept Sampling for Counting and Threshold-Free Local Pattern Mining. SDM Mario Boley, Thomas Gärtner, Henrik Grosskreutz
2010	J	`jnl`	Listing closed sets of strongly accessible set systems with applications to data mining. Theor. Comput. Sci. Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel
2010	—	`conf`	Listing closed sets of strongly accessible set systems with applications to data. LWA Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel
2010	B	`conf`	Subgroup Discovery for Election Analysis: A Case Study in Descriptive Data Mining. Discovery Science Henrik Grosskreutz, Mario Boley, Maike Krause-Traudes
2010	—	`—`	The Efficient Discovery of Interesting Closed Pattern Collections. Mario Boley
2009	J	`jnl`	Approximating the number of frequent sets in dense data. Knowl. Inf. Syst. Mario Boley, Henrik Grosskreutz
2009	A	`conf`	Efficient Discovery of Interesting Patterns Based on Strong Closedness. SDM Mario Boley, Tamás Horváth, Stefan Wrobel
2009	J	`jnl`	Efficient discovery of interesting patterns based on strong closedness. Stat. Anal. Data Min. Mario Boley, Tamás Horváth, Stefan Wrobel
2009	—	`conf`	MAP Structured Prediction by Sampling. MLG/SRL@ILP Shankar Vembu, Thomas Gärtner, Mario Boley
2009	—	`conf`	New Results on Listing Closed Sets of Strongly Accessible Set Systems. MLG/SRL@ILP Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel
2009	—	`conf`	Non-redundant Subgroup Discovery Using a Closure System. ECML/PKDD (1) Mario Boley, Henrik Grosskreutz
2009	B	`conf`	On the Complexity of Constraint-Based Theory Extraction. Discovery Science Mario Boley, Thomas Gärtner
2009	A	`conf`	Probabilistic Structured Predictors. UAI Shankar Vembu, Thomas Gärtner, Mario Boley
2008	A*	`conf`	A Randomized Approach for Approximating the Number of Frequent Sets. ICDM Mario Boley, Henrik Grosskreutz
2007	—	`conf`	Efficient Closed Pattern Mining in Strongly Accessible Set Systems (Extended Abstract). PKDD Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel
2007	—	`conf`	Efficient Closed Pattern Mining in Strongly Accessible Set Systems. MLG Mario Boley, Tamás Horváth, Axel Poigné, Stefan Wrobel
2007	B	`conf`	On Approximating Minimum Infrequent and Maximum Frequent Sets. Discovery Science Mario Boley