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Synthesising Inductive Data Models

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Learning Linear Programs from Data

Author(s): Elias Arnold Schede, Samuel Kolb,Stefano Teso
Published in: 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), 2020, ISBN 978-1-7281-3798-8
Publisher: IEEE

DeepStochLog: Neural Stochastic Logic Programming

Author(s): Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt
Published in: Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Publisher: AAAI press

Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation

Author(s): Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt
Published in: Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, Issue 34(04), 2020, Page(s) 4493-4500, ISBN 978-1-57735-835-0
Publisher: AAAI

Democratizing Constraint Satisfaction Problems through Machine Learning

Author(s): Kumar, Mohit; Kolb, Samuel; Gautrais, Clement; De Raedt, Luc
Published in: Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, Issue Vol. 35, iss. 18, 2021, Page(s) 16057 - 16059, ISBN 978-1-57735-866-4
Publisher: AAAI Press

Toward Faithful Explanatory Active Learning with Self-explainable Neural Nets

Author(s): Teso, Stefano
Published in: Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2019), Issue 17, 2019, Page(s) 4 - 16
Publisher: CEUR Workshop Proceedings

An Automated Engineering Assistant: Learning Parsers for Technical Drawings

Author(s): Dries Van Daele, Nicholas Decleyre, Herman Dubois, Wannes Meert,
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue abs/1909.08552, 2021
Publisher: AAAI Press

SpLyCI: Integrating Spreadsheets by Recognising and Solving Layout Constraints (opens in new window)

Author(s): Dirko Coetsee, Steve Kroon, McElory Hoffmann, Luc De Raedt
Published in: Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26–28, 2021, Proceedings, Issue 12695, 2021, Page(s) 402-413, ISBN 978-3-030-74250-8
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-74251-5_32

Ordering Variables for Weighted Model Integration

Author(s): Vincent Derkinderen, Evert Heylen, Pedro Zuidberg Dos Martires, Samuel Kolb, Luc Raedt
Published in: Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, Issue 124, 2020, Page(s) 879 - 888
Publisher: MLR Press

Widening for MDL-Based Retail Signature Discovery (opens in new window)

Author(s): Clément Gautrais, Peggy Cellier, Matthijs van Leeuwen, Alexandre Termier
Published in: Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings, Issue 12080, 2020, Page(s) 197-209, ISBN 978-3-030-44583-6
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-44584-3_16

Domain-Lifted Sampling for Universal Two-Variable Logic and Extensions

Author(s): Yuanhong Wang, Timothy van Bremen, Yuyi Wang, Ondrej Kuzelka
Published in: Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Publisher: AAAI press

Hybrid probabilistic inference with logical and algebraic constraints: a survey (opens in new window)

Author(s): Paolo Morettin, Pedro Zuidberg Dos Martires, Samuel Kolb, Andrea Passerini
Published in: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021, Page(s) 4533-4542, ISBN 978-0-9992411-9-6
Publisher: International Joint Conferences on Artificial Intelligence
DOI: 10.24963/ijcai.2021/617

Context-Specific Likelihood Weighting

Author(s): Nitesh Kumar, Ondrej Kuzelka
Published in: Proceedings of Machine Learning Research from the 24th International Conference on Artificial Intelligence and Statistics, 2021
Publisher: MLresearch Press

Transforming Probabilistic Programs into Algebraic Circuits for Inference and Learning

Author(s): Pedro Miguel Zuidberg Dos Martires, Vincent Derkinderen, Robin Manhaeve, Wannes Meert, Angelika Kimmig, Luc De Raedt
Published in: Program Transformations for Machine Learning Workshop at NeurIPS, 2019
Publisher: OpenReview.net

Anomaly Detection for CERN Beam Transfer Installations Using Machine Learning (opens in new window)

Author(s): Dewitte, Thiebout; Meert, Wannes; Van Wolputte, Elia; Van Trappen, Pieter
Published in: International Conference on Accelerator and Large Experimental Physics Control Systems (17th), 2019, Page(s) 1066-1070, ISBN 978-3-95450-209-7
Publisher: JACoW Publishing
DOI: 10.18429/jacow-icalepcs2019-wempr010

Co-creating Platformer Levels with Constrained Adversarial Networks

Author(s): Paolo Morettin, Andrea Passerini, Stefano Teso
Published in: Proceedings of the 2nd Workshop on Human-AI Co-Creation with Generative, 2021
Publisher: CEUR Workshop Proceedings

From Statistical Relational to Neuro-Symbolic Artificial Intelligence

Author(s): Luc De Raedt, Sebastijan Dumancic, Robin Manhaeve, Giuseppe Marra
Published in: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020, Page(s) 4943-4950, ISBN 978-0-9992411-6-5
Publisher: International Joint Conferences on Artificial Intelligence

avatar—Automated Feature Wrangling for Machine Learning (opens in new window)

Author(s): Gust Verbruggen, Elia Van Wolputte, Sebastijan Dumančić, Luc De Raedt
Published in: Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26–28, 2021, Proceedings, Issue 12695, 2021, Page(s) 235-247, ISBN 978-3-030-74250-8
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-74251-5_19

Missing Value Imputation with MERCS: A Faster Alternative to MissForest (opens in new window)

Author(s): Elia Van Wolputte, Hendrik Blockeel
Published in: Discovery Science - 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19–21, 2020, Proceedings, Issue 12323, 2020, Page(s) 502-516, ISBN 978-3-030-61526-0
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-61527-7_33

Muppets: Multipurpose Table Segmentation (opens in new window)

Author(s): Gust Verbruggen, Lidia Contreras-Ochando, Cèsar Ferri, José Hernández-Orallo, Luc De Raedt
Published in: Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26–28, 2021, Proceedings, Issue 12695, 2021, Page(s) 389-401, ISBN 978-3-030-74250-8
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-74251-5_31

Inference and Learning with Model Uncertainty in Probabilistic Logic Programs

Author(s): Victor Verreet, Vincent Derkinderen, Pedro Zuidberg Dos Martires, Luc De Raedt
Published in: Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Publisher: AAAI press

Approximate Inference for Neural Probabilistic Logic Programming (opens in new window)

Author(s): Robin Manhaeve, Giuseppe Marra, Luc De Raedt
Published in: Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021, Page(s) 475–486, ISBN 978-1-956792-99-7
Publisher: IJCAI Organization
DOI: 10.24963/kr.2021/45

TaCLe - Learning Constraints in Tabular Data (opens in new window)

Author(s): Sergey Paramonov, Samuel Kolb, Tias Guns, Luc De Raedt
Published in: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17, 2017, Page(s) 2511-2514, ISBN 9781-450349185
Publisher: ACM Press
DOI: 10.1145/3132847.3133193

MERCS: Multi-directional Ensembles of Regression and Classification Trees

Author(s): Elia Van Wolputte, Evgeniya Korneva, Hendrik Blockeel
Published in: Proceedings Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Publisher: AAAI Press

Learning constraints from examples

Author(s): Luc De Raedt, Andrea Passerini, Stefano Teso
Published in: Proceedings Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Publisher: AAAI Press

Constructive Preference Elicitation over Hybrid Combinatorial Spaces

Author(s): Paolo Dragone, Stefano Teso, Andrea Passerini
Published in: Proceedings Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Publisher: AAAI Press

Decomposition strategies for constructive preference elicitation

Author(s): Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini
Published in: Proceedings Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Publisher: AAAI press

Constructive Preference Elicitation for Multiple Users with Setwise Max-margin

Author(s): Stefano Teso, Andrea Passerini, Paolo Viappiani
Published in:  Algorithmic Decision Theory. ADT 2017. Lecture Notes in Computer Science, vol 10576., 2017, Page(s) 3-17
Publisher: Springer

Sketched Answer Set Programming (opens in new window)

Author(s): Sergey Paramonov, Christian Bessiere, Anton Dries, Luc De Raedt
Published in: 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI), 2018, Page(s) 694-701, ISBN 978-1-5386-7449-9
Publisher: IEEE
DOI: 10.1109/ictai.2018.00110

Towards Resource-Efficient Classifiers for Always-On Monitoring (opens in new window)

Author(s): Jonas Vlasselaer, Wannes Meert, Marian Verhelst
Published in: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III, Issue 11053, 2019, Page(s) 305-321, ISBN 978-3-030-10996-7
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-10997-4_19

COBRAS: Interactive Clustering with Pairwise Queries (opens in new window)

Author(s): Toon Van Craenendonck, Sebastijan Dumančić, Elia Van Wolputte, Hendrik Blockeel
Published in: Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings, Issue 11191, 2018, Page(s) 353-366, ISBN 978-3-030-01767-5
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-01768-2_29

Automatically Wrangling Spreadsheets into Machine Learning Data Formats (opens in new window)

Author(s): Gust Verbruggen, Luc De Raedt
Published in: Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings, Issue 11191, 2018, Page(s) 367-379, ISBN 978-3-030-01767-5
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-01768-2_30

Learning SMT(LRA) Constraints using SMT Solvers (opens in new window)

Author(s): Samuel Kolb, Stefano Teso, Andrea Passerini, Luc De Raedt
Published in: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018, Page(s) 2333-2340, ISBN 9780-999241127
Publisher: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2018/323

Elements of an Automatic Data Scientist (opens in new window)

Author(s): Luc De Raedt, Hendrik Blockeel, Samuel Kolb, Stefano Teso, Gust Verbruggen
Published in: Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings, Issue 11191, 2018, Page(s) 3-14, ISBN 978-3-030-01767-5
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-01768-2_1

Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge

Author(s): Pedro Miguel Zuidberg Dos Martires, Anton Dries, Luc De Raedt
Published in: Proceedings of the 30th AAAI Conference on Artificial Intelligence, 2019
Publisher: AAAI Press

Automating Layout Synthesis with Constructive Preference Elicitation (opens in new window)

Author(s): Luca Erculiani, Paolo Dragone, Stefano Teso, Andrea Passerini
Published in: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III, Issue 11053, 2019, Page(s) 254-270, ISBN 978-3-030-10996-7
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-10997-4_16

Explanatory Interactive Machine Learning

Author(s): Stefano Teso, Kristian Kersting
Published in: Proceedings of AAAI/ACM Conference on Artificial Intelligence, Ethics and Society 2019, 2019
Publisher: AAAI Press

Generic mining of condensed pattern representations under constraints

Author(s): Sergey Paramonov, Tao Chen, Tias Guns
Published in: YSIP2 – Proceedings of the Second Young Scientist's International Workshop on Trends in Information Processing, Issue Vol. 1837, 2017, Page(s) 168-177
Publisher: CEUR

Pyconstruct: Constraint Programming Meets Structured Prediction (opens in new window)

Author(s): Paolo Dragone, Stefano Teso, Andrea Passerini
Published in: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018, Page(s) 5823-5825, ISBN 9780-999241127
Publisher: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2018/850

Scalable Rule Learning in Probabilistic Knowledge Bases

Author(s): Arcchit Jain; Tal Friedman; Ondrej Kuzelka; Guy Van den Broeck; Luc De Raedt
Published in: Automated Knowledge Base Construction, 2019
Publisher: University of Massachusetts Amherst

Acquiring Integer Programs from Data (opens in new window)

Author(s): Mohit Kumar, Stefano Teso, Luc De Raedt
Published in: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019, Page(s) 1130-1136, ISBN 978-0-9992411-4-1
Publisher: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2019/158

The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration (opens in new window)

Author(s): Samuel Kolb, Paolo Morettin, Pedro Zuidberg Dos Martires, Francesco Sommavilla, Andrea Passerini, Roberto Sebastiani, Luc De Raedt
Published in: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019, Page(s) 6530-6532, ISBN 978-0-9992411-4-1
Publisher: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2019/946

How to Exploit Structure while Solving Weighted Model Integration Problems

Author(s): Pedro Miguel Zuidberg Dos Martires, Samuel Kolb, Luc De Raedt
Published in: Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Publisher: AUAI

Generalized Chronicles for Temporal Sequence Classification (opens in new window)

Author(s): Yann Dauxais, Thomas Guyet
Published in: Advanced Analytics and Learning on Temporal Data - 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers, Issue 12588, 2020, Page(s) 30-45, ISBN 978-3-030-65741-3
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-65742-0_3

Learning Weighted Model Integration Distributions

Author(s): Paolo Morettin, Samuel Kolb, Stefano Teso, Andrea Passerini
Published in: Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020, Page(s) 5224-5231
Publisher: AAAI press

Automating Personnel Rostering by Learning Constraints Using Tensors (opens in new window)

Author(s): Mohit Kumar, Stefano Teso, Patrick De Causmaecker, Luc De Raedt
Published in: 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), Issue Vol. abs/1805.11375, 2019, Page(s) 697-704, ISBN 978-1-7281-3798-8
Publisher: IEEE
DOI: 10.1109/ictai.2019.00102

The Effect of Hyperparameter Tuning on the Comparative Evaluation of Unsupervised Anomaly Detection Methods

Author(s): Soenen, Jonas; Van Wolputte, Elia; Perini, Lorenzo; Vercruyssen, Vincent; Meert, Wannes; Davis, Jesse; Blockeel, Hendrik
Published in: Proceedings of the KDD'21 Workshop on Outlier Detection and Description, 2021
Publisher: Outlier Detection and Description Organising Committee

VisualSynth: Democratizing Data Science in Spreadsheets (opens in new window)

Author(s): Clément Gautrais, Yann Dauxais, Samuel Kolb, Arcchit Jain, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt
Published in: Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V, Issue 12461, 2021, Page(s) 550-554, ISBN 978-3-030-67669-8
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-67670-4_37

Ontology-Mediated Queries over Probabilistic Data via Probabilistic Logic Programming (opens in new window)

Author(s): Timothy van Bremen, Anton Dries, Jean Christoph Jung
Published in: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019, Page(s) 2437-2440, ISBN 9781450369763
Publisher: ACM
DOI: 10.1145/3357384.3358168

Learning CNF Theories Using MDL and Predicate Invention (opens in new window)

Author(s): Arcchit Jain; Clément Gautrais; Angelika Kimmig; Luc De Raedt; Luc De Raedt
Published in: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Issue 10, 2021, Page(s) 2599-2605, ISBN 978-0-9992411-9-6
Publisher: International Joint Conferences on Artificial Intelligence
DOI: 10.24963/ijcai.2021/358

Algebraic Circuits for Decision Theoretic Inference and Learning (opens in new window)

Author(s): Vincent Derkinderen, Luc De Raedt
Published in: Proceedings of the 24th European Conference on Artificial Intelligence, Issue 325, 2020, Page(s) 2569 - 2576, ISBN 978-1-64368-100-9
Publisher: IOS Press
DOI: 10.3233/faia200392

SandSlide: Automatic Slideshow Normalization (opens in new window)

Author(s): Sieben Bocklandt, Gust Verbruggen,Thomas Winters
Published in: Proceedings of the 2021 16th International Conference on Document Analysis and Recognition (ICDAR), Issue Lecture Notes in Computer Science, vol 12822, 2021, Page(s) 445–461, ISBN 978-3-030-86331-9
Publisher: SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-030-86331-9_29

Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations

Author(s): Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck
Published in: Advances in neural information processing systems, Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020
Publisher: Curran Associates

Neural Markov Logic Networks

Author(s): Giuseppe Marra, Ondřej Kuželka
Published in: Proceedings of Machine Learning Research (PMLR), Issue Vol.161, 2021, Page(s) 908-917
Publisher: Machine Learning Research (PMLR

SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract)

Author(s): Yann Dauxais, Clément Gautrais, Anton Dries, Arcchit Jain, Samuel Kolb, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt
Published in: Machine Learning and Knowledge Discovery in Databases, Issue Vol. 1167, 2019, Page(s) 102 - 110, ISBN 978-3-030-43822-7
Publisher: Springer International Publishing

Efficient Generation of Structured Objects with Constrained Adversarial Networks

Author(s): Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Paolo Morettin, Stefano Teso, Andrea Passerini
Published in: Advances in neural information processing systems, Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), Issue abs/2007.13197, 2020
Publisher: Curran Associates

Semiring programming: A semantic framework for generalized sum product problems (opens in new window)

Author(s): Vaishak Belle, Luc De Raedt
Published in: International Journal of Approximate Reasoning, Issue 126, 2020, Page(s) 181-201, ISSN 0888-613X
Publisher: Elsevier BV
DOI: 10.1016/j.ijar.2020.08.001

Learning Distributional Programs for Relational Autocompletion (opens in new window)

Author(s): Nitesh Kumar; Ondrej Kuzelka; Luc De Raedt
Published in: Theory and Practice of Logic Programming, Issue Vol.22, issue 1, 2021, Page(s) 81 - 114, ISSN 1471-0684
Publisher: Cambridge University Press
DOI: 10.1017/s1471068421000144

Neural probabilistic logic programming in DeepProbLog (opens in new window)

Author(s): Robin Manhaeve, Sebastijan Dumančić, Angelika Kimmig, Thomas Demeester, Luc De Raedt
Published in: Artificial Intelligence, Issue 298, 2021, Page(s) 103504, ISSN 0004-3702
Publisher: Elsevier BV
DOI: 10.1016/j.artint.2021.103504

Constructive Preference Elicitation (opens in new window)

Author(s): Paolo Dragone, Stefano Teso, Andrea Passerini
Published in: Frontiers in Robotics and AI, Issue 4, 2018, ISSN 2296-9144
Publisher: Frontiers
DOI: 10.3389/frobt.2017.00071

Learning constraints in spreadsheets and tabular data (opens in new window)

Author(s): Samuel Kolb, Sergey Paramonov, Tias Guns, Luc De Raedt
Published in: Machine Learning, Issue 106/9-10, 2017, Page(s) 1441-1468, ISSN 0885-6125
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10994-017-5640-x

Declarative data analysis (opens in new window)

Author(s): Hendrik Blockeel
Published in: International Journal of Data Science and Analytics, Issue volume 6/3, 2017, Page(s) 217-223, ISSN 2364-415X
Publisher: Springer
DOI: 10.1007/s41060-017-0081-y

Combining learning and constraints for genome-wide protein annotation (opens in new window)

Author(s): Stefano Teso, Luca Masera, Michelangelo Diligenti, Andrea Passerini
Published in: BMC Bioinformatics, Issue 20/1, 2019, ISSN 1471-2105
Publisher: BioMed Central
DOI: 10.1186/s12859-019-2875-5

Predictive spreadsheet autocompletion with constraints (opens in new window)

Author(s): Samuel Kolb, Stefano Teso, Anton Dries, Luc De Raedt
Published in: Machine Learning, 2019, ISSN 0885-6125
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10994-019-05841-y

onto2problog: A Probabilistic Ontology-Mediated Querying System using Probabilistic Logic Programming (opens in new window)

Author(s): Timothy van Bremen, Anton Dries, Jean Christoph Jung
Published in: KI - Künstliche Intelligenz, Issue 34/4, 2020, Page(s) 501-507, ISSN 0933-1875
Publisher: Springer
DOI: 10.1007/s13218-020-00670-x

Automating Data Science: Prospects and Challenges (opens in new window)

Author(s): De Bie, Tijl; De Raedt, Luc; Hernández-Orallo, José; Hoos, Holger H.; Smyth, Padhraic; Williams, Christopher K. I.
Published in: Communications of the ACM, Issue Vol.65, issue 3, 2022, Page(s) 76-87, ISSN 0001-0782
Publisher: Association for Computing Machinary, Inc.
DOI: 10.1145/3495256

Making deep neural networks right for the right scientific reasons by interacting with their explanations (opens in new window)

Author(s): Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Franziska Herbert, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting
Published in: Nature Machine Intelligence, Issue 2/8, 2020, Page(s) 476-486, ISSN 2522-5839
Publisher: Springer Nature
DOI: 10.1038/s42256-020-0212-3

Symbolic Learning and Reasoning With Noisy Data for Probabilistic Anchoring (opens in new window)

Author(s): Pedro Zuidberg Dos Martires, Nitesh Kumar, Andreas Persson, Amy Loutfi, Luc De Raedt
Published in: Frontiers in Robotics and AI, Issue 7, 2020, ISSN 2296-9144
Publisher: Frontiers Media
DOI: 10.3389/frobt.2020.00100

Semantic programming by example with pre-trained models (opens in new window)

Author(s): Gust Verbruggen, Vu Le, Sumit Gulwani
Published in: Proceedings of the ACM on Programming Languages;, Issue Vol. 5; iss. OOPSLA, 2021, Page(s) 1–25, ISSN 2475-1421
Publisher: ACM Digital library
DOI: 10.1145/3485477

Human-Machine Collaboration for Democratizing Data Science (opens in new window)

Author(s): Clément Gautrais, Yann Dauxais, Stefano Teso, Samuel Kolb, Gust Verbruggen, Luc De Raedt
Published in: Human-Like Machine Intelligence, Issue Vol. abs/2004.11113, 2021, Page(s) 379 - 402, ISBN 9780198862536
Publisher: Oxford University Press
DOI: 10.1093/oso/9780198862536.003.0019

Hybrid ASP-Based Approach to Pattern Mining (opens in new window)

Author(s): Sergey Paramonov, Daria Stepanova, Pauli Miettinen
Published in: Rules and Reasoning, Issue 10364, 2017, Page(s) 199-214, ISBN 978-3-319-61251-5
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-61252-2_14

Constraint Learning: An Appetizer (opens in new window)

Author(s): Stefano Teso
Published in: Reasoning Web. Explainable Artificial Intelligence - 15th International Summer School 2019, Bolzano, Italy, September 20–24, 2019, Tutorial Lectures, Issue 11810, 2019, Page(s) 232-249, ISBN 978-3-030-31422-4
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-31423-1_7

Automating Data Science (Dagstuhl Seminar 18401) (opens in new window)

Author(s): Tijl De Bie; Luc De Raedt, Holger H. Hoos, Padhraic Smyth
Published in: Dagstuhl Reports, Issue Volume 8, Issue 9, 2019
Publisher: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik
DOI: 10.4230/dagrep.8.9.154

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