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Mario andre Boley

    20072025

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    • 2024

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

      Zhao, Y., Grayden, D. B., Boley, M., Liu, Y., Karoly, P. J., Cook, M. J. & Kuhlmann, L., 2024, FUSION 2024 - 27th International Conference on Information Fusion. Institute of Electrical and Electronics Engineers Inc., (FUSION 2024 - 27th International Conference on Information Fusion).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2023

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

      Zhao, Y., Boley, M., Pelentritou, A., Woods, W., Liley, D. & Kuhlmann, L., Jul 2023, 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 4 p. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2022

      Enhanced Extra Trees Classifier for Epileptic Seizure Prediction

      Ntahobari, M., Kuhlmann, L., Boley, M. & Hesabi, Z. R., 2022, 2022 5th International Conference on Signal Processing and Information Security, ICSPIS 2022. Institute of Electrical and Electronics Engineers Inc., p. 175-179 5 p. (2022 5th International Conference on Signal Processing and Information Security, ICSPIS 2022).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2021

      Better short than greedy: Interpretable models through optimal rule boosting

      Boley, M., Teshuva, S., Le Bodic, P. & Webb, G. I., 2021, SIAM International Conference on Data Mining, SDM 2021. Siam Society, p. 351-359 9 p. (SIAM International Conference on Data Mining, SDM 2021).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Discovering reliable causal rules

      Budhathoki, K., Boley, M. & Vreeken, J., 2021, SIAM International Conference on Data Mining, SDM 2021. Siam Society, p. 1-9 9 p. (SIAM International Conference on Data Mining, SDM 2021).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Relative Flatness and Generalization

      Petzka, H., Kamp, M., Adilova, L., Sminchisescu, C. & Boley, M., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 18420-18432 13 p. (Advances in Neural Information Processing Systems; vol. 22).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2020

      Discovering Functional Dependencies from Mixed-Type Data

      Mandros, P., Kaltenpoth, D., Boley, M. & Vreeken, J., 23 Aug 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1404-1414 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access
    • 2019

      Discovering reliable correlations in categorical data

      Mandros, P., Boley, M. & Vreeken, J., Nov 2019, Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019. Wang, J., Shim, K. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1252-1257 6 p. 8970748. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2019-November).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Discovering reliable dependencies from data: Hardness and improved algorithms

      Mandros, P., Boley, M. & Vreeken, J., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 6206-6210 5 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Discovering robustly connected subgraphs with simple descriptions

      Kalofolias, J., Boley, M. & Vreeken, J., Nov 2019, Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019. Wang, J., Shim, K. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1150-1155 6 p. 8970683. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2019-November).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access
    • 2018

      Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms

      Mandros, P., Boley, M. & Vreeken, J., 27 Dec 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 317-326 10 p. 8594856. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access
    • 2017

      Discovering reliable approximate functional dependencies

      Mandros, P., Boley, M. & Vreeken, J., 13 Aug 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 355-363 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Efficiently discovering locally exceptional yet globally representative subgroups

      Kalofolias, J., Boley, M. & Vreeken, J., 15 Dec 2017, Proceedings - 17th IEEE International Conference on Data Mining, ICDM 2017. Karypis, G., Alu, S., Raghavan, V., Wu, X. & Miele, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 197-206 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2017-November).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access
    • 2016

      Communication-efficient distributed online learning with kernels

      Kamp, M., Bothe, S., Boley, M. & Mock, M., 2016, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Proceedings. Landwehr, N., Giuseppe, J., Manco, G. & Frasconi, P. (eds.). Springer Verlag, p. 805-819 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9852 LNAI).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access
    • 2014

      Beating human analysts in nowcasting corporate earnings by using publicly available stock price and correlation features

      Kamp, M., Boley, M. & Gärtner, T., 2014, SIAM International Conference on Data Mining 2014, SDM 2014. Zaki, M., Obradovic, Z., Ning-Tan, P., Banerjee, A., Kamath, C. & Parthasarathy, S. (eds.). Society for Industrial and Applied Mathematics Publications, p. 641-649 9 p. (SIAM International Conference on Data Mining 2014, SDM 2014; vol. 2).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Communication-efficient distributed online prediction by dynamic model synchronization

      Kamp, M., Boley, M., Keren, D., Schuster, A. & Sharfman, I., 2014, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Proceedings. PART 1 ed. Springer Verlag, p. 623-639 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8724 LNAI, no. PART 1).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Instant Exceptional Model Mining using weighted controlled pattern sampling

      Moens, S. & Boley, M., 2014, Advances in Intelligent DataAnalysis XIII - 13th International Symposium, IDA 2014, Proceedings. Blockeel, H., van Leeuwen, M. & Vinciotti, V. (eds.). Springer Verlag, p. 203-214 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8819).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Providing concise database covers instantly by recursive tile sampling

      Moens, S., Boley, M. & Goethals, B., 2014, Discovery Science - 17th International Conference, DS 2014, Proceedings. Džeroski, S., Panov, P., Kocev, D. & Todorovski, L. (eds.). Springer Verlag, p. 216-227 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8777).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2013

      Mining interesting patterns in multi-relational data with N-ary relationships

      Spyropoulou, E., De Bie, T. & Boley, M., 2013, Discovery Science - 16th International Conference, DS 2013, Proceedings. Springer Verlag, p. 217-232 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8140 LNAI).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • One click mining-interactive local pattern discovery through implicit preference and performance learning

      Boley, M., Mampaey, M., Kang, B., Tokmakov, P. & Wrobel, S., 2013, Proceedings of the ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013. Association for Computing Machinery, p. 27-35 9 p. (Proceedings of the ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Privacy-preserving mobility monitoring using sketches of stationary sensor readings

      Kamp, M., Kopp, C., Mock, M., Boley, M. & May, M., 2013, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Proceedings. PART 3 ed. p. 370-386 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8190 LNAI, no. PART 3).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access
    • 2012

      Linear space direct pattern sampling using coupling from the past

      Boley, M., Moens, S. & Gärtner, T., 2012, KDD'12 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. p. 69-77 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2011

      Direct local pattern sampling by efficient two-step random procedures

      Boley, M., Lucchese, C., Paurat, D. & Gärtner, T., 2011, Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'11. Association for Computing Machinery, p. 582-590 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2010

      Subgroup discovery for election analysis: A case study in descriptive data mining

      Grosskreutz, H., Boley, M. & Krause-Traudes, M., 2010, Discovery Science - 13th International Conference, DS 2010, Proceedings. p. 57-71 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6332 LNAI).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2009

      Efficient discovery of interesting patterns based on strong closedness

      Boley, M., Horváth, T. & Wrobel, S., 2009, Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics 133. p. 997-1008 12 p. (Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics; vol. 2).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Non-redundant subgroup discovery using a closure system

      Boley, M. & Grosskreutz, H., 2009, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2009, Proceedings. PART 1 ed. p. 179-194 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5781 LNAI, no. PART 1).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • On the complexity of constraint-based theory extraction

      Boley, M. & Gärtner, T., 2009, Discovery Science - 12th International Conference, DS 2009, Proceedings. p. 92-106 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5808 LNAI).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Probabilistic structured predictors

      Vembu, S., Gärtner, T. & Boley, M., 2009, Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009. AUAI Press, p. 557-564 8 p. (Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2008

      A randomized approach for approximating the number of frequent sets

      Boley, M. & Grosskreutz, H., 2008, Proceedings - 8th IEEE International Conference on Data Mining, ICDM 2008. p. 43-52 10 p. 4781099. (Proceedings - IEEE International Conference on Data Mining, ICDM).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2007

      Efficient closed pattern mining in strongly accessible set systems (extended abstract)

      Boley, M., Horváth, T., Poigné, A. & Wrobel, S., 2007, Knowledge Discovery in Database: PKDD 2007 - 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Proceedings. Springer Verlag, p. 382-389 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4702 LNAI).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • On approximating minimum infrequent and maximum frequent sets

      Boley, M., 2007, Discovery Science - 10th International Conference, DS 2007, Proceedings. Springer Verlag, p. 68-77 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4755 LNAI).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review