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Identifying domains of applicability of machine learning models for materials science

Nature communications, 2020-09, Vol.11 (1), p.4428-4428, Article 4428

2020

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Data-driven equation for drug–membrane permeability across drugs and membranes

The Journal of chemical physics, 2021-06, Vol.154 (24), p.244114-244114

2021

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Is exploratory search different? A comparison of information search behavior for exploratory and lookup tasks

Journal of the Association for Information Science and Technology, 2016-11, Vol.67 (11), p.2635-2651

2016

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The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives

Machine learning, 2015-01, Vol.98 (1-2), p.121-155

2015

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Uncovering structure-property relationships of materials by subgroup discovery

New journal of physics, 2017-01, Vol.19 (1), p.13031

2017

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Publisher’s Note: “Data-driven equation for drug–membrane permeability across drugs and membranes” [J. Chem. Phys. 154, 244114 (2021)]

The Journal of chemical physics, 2021-07, Vol.155 (3), p.039901-039901

2021

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Omen: discovering sequential patterns with reliable prediction delays

Knowledge and information systems, 2022-04, Vol.64 (4), p.1013-1045

2022

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Generating Realistic Synthetic Population Datasets

ACM transactions on knowledge discovery from data, 2018-07, Vol.12 (4), p.1-22

2018

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Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition

Machine Learning and Knowledge Discovery in Databases, 2016, Vol.9851, p.795-811

2016

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Origo: causal inference by compression

Knowledge and information systems, 2018-08, Vol.56 (2), p.285-307

2018

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Telling cause from effect by local and global regression

Knowledge and information systems, 2019-09, Vol.60 (3), p.1277-1305

2019

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Krimp: mining itemsets that compress

Data mining and knowledge discovery, 2011-07, Vol.23 (1), p.169-214

2011

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MDL4BMF: Minimum Description Length for Boolean Matrix Factorization

ACM transactions on knowledge discovery from data, 2014-10, Vol.8 (4), p.1-31

2014

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Telling Cause from Effect Using MDL-Based Local and Global Regression

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.307-316

2017

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Sets of Robust Rules, and How to Find Them

Machine Learning and Knowledge Discovery in Databases, p.38-54

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Causal Inference on Multivariate and Mixed-Type Data

Machine Learning and Knowledge Discovery in Databases, p.655-671

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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva Del Garda, Italy, September 19-23, 2016, Proceedings, Part I

1, 2016

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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva Del Garda, Italy, September 19-23, 2016, Proceedings, Part II

1, 2016

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Discovering Significant Patterns under Sequential False Discovery Control

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022, p.263-272

2022

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Identifiability of Cause and Effect using Regularized Regression

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019, p.852-861

2019

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Summarizing categorical data by clustering attributes

Data mining and knowledge discovery, 2013, Vol.26 (1), p.130-173

2013

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All the world’s a (hyper)graph: A data drama

Digital Scholarship in the Humanities, 2024-04, Vol.39 (1), p.74-96

2024

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Discovering dependencies with reliable mutual information

Knowledge and information systems, 2020-11, Vol.62 (11), p.4223-4253

2020

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Comparing apples and oranges: measuring differences between exploratory data mining results

Data mining and knowledge discovery, 2012-09, Vol.25 (2), p.173-207

2012

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Summarizing and understanding large graphs

Statistical analysis and data mining, 2015-06, Vol.8 (3), p.183-202

2015

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Identifying domains of applicability of machine learning models for materials science

Data-driven equation for drug–membrane permeability across drugs and membranes

Is exploratory search different? A comparison of information search behavior for exploratory and lookup tasks

The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives

Uncovering structure-property relationships of materials by subgroup discovery

Publisher’s Note: “Data-driven equation for drug–membrane permeability across drugs and membranes” [J. Chem. Phys. 154, 244114 (2021)]

Omen: discovering sequential patterns with reliable prediction delays

Generating Realistic Synthetic Population Datasets

Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition

Origo: causal inference by compression

Telling cause from effect by local and global regression

Krimp: mining itemsets that compress

MDL4BMF: Minimum Description Length for Boolean Matrix Factorization

Telling Cause from Effect Using MDL-Based Local and Global Regression

Sets of Robust Rules, and How to Find Them

Causal Inference on Multivariate and Mixed-Type Data

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva Del Garda, Italy, September 19-23, 2016, Proceedings, Part I

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva Del Garda, Italy, September 19-23, 2016, Proceedings, Part II

Discovering Significant Patterns under Sequential False Discovery Control

Identifiability of Cause and Effect using Regularized Regression

Summarizing categorical data by clustering attributes

All the world’s a (hyper)graph: A data drama

Discovering dependencies with reliable mutual information

Comparing apples and oranges: measuring differences between exploratory data mining results

Summarizing and understanding large graphs

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