Projecten per jaar
Organisatieprofiel
Introductie / missie
The chair studies data mining (DM) techniques and knowledge discovery approaches that are at the core of data science. The group is known for its contributions to the areas of predictive analytics, automation of machine learning and networked science, subgroup discovery and exceptional model mining, and similarity computations on complex data. Its research is inspired by theoretical computer science, systems development and real-world applications of (big) data-driven discovery in healthcare, banking, energy, retail, telecom, and education among others.
Over de organisatie
We develop generic approaches and specialized techniques that cover a wide range of descriptive, predictive and prescriptive analytics and work effectively with text, image, transactional, graph and time-series data in a responsible manner. E.g. we use Deep Learning methods to develop models for high dimensional heterogeneous, unstructured and evolving data and apply this models to areas such as medical imaging, genomics, anomaly detection and sentiment analysis. We further work on methods for analyzing and explaining the model’s decisions and performance and facilitate effective DM with domain expert in the loop.
Success stories
We have created OpenML: an online collaborative platform for studying machine learning techniques. OpenML is used by almost 2,000 researchers, students, and practitioners world-wide, and contains around 20,000 datasets, 3,000 machine learning workflows, and 1,7 million shared experiments. It has won the Dutch Data Prize, as well as backing from Microsoft Research. It is crucial for the development of automated machine learning that is adopted by companies such as Philips.
Further information at OpenML.org
- NWO RATE-Analytics (with Tilburg University, Rabobank and Achmea) "Next generation predictive analytics for data-driven banking and insurance".
- ImpulseKYC-Analytics (with Rabobank) "Know your customer predictive analytics" project aims at developing approaches for effective DM on heterogeneous and evolving data sources with expert-in-the-loop.
- STW CAPA (with Adversitement and StudyPortals)"Context-aware predictive analytics" advanced the current state of the art in Web analytics.
- NWO Veni "Detection methods for similarity structures in time-dependent data"develops foundations for advanced time series and trajectories clustering.
- H2020 SODA (ICT-2016-1; Big Data PPP) "Scalable Oblivious Data Analytics" facilitates secure DM; together with Crypto group we develop practical approaches for DM with multi-party computation.
Vingerafdruk
Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar
Profielen
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Elahe Arani
- Mathematics and Computer Science, Data Mining - Onderzoeker
Persoon: OWP : Docent / Onderzoeker
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Guido Budziak, MSc
- Mathematics and Computer Science, Data Mining - Onderzoeker
Persoon: OWP : Docent / Onderzoeker
projecten
- 2 Afgelopen
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Interoperability of Heterogeneous IoT Platforms
Mocanu, D. C. & Exarchakos, G.
1/01/16 → 31/12/18
Project: Onderzoek direct
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Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree
Weerts, H., Xenidis, R., Tarissan, F., Olsen, H. P. & Pechenizkiy, M., 12 jun. 2023, Proceedings of the 6th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2023. Association for Computing Machinery, Inc, blz. 805-816 12 blz.Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open Access -
Algorithmic Unfairness Through the Lens of EU Non-Discrimination Law Or Why the Law is Not a Decision Tree
Weerts, H., Xenidis, R., Tarissan, F., Olsen, H. P. & Pechenizkiy, M., 2023, European Workshop on Algorithmic Fairness, EWAF 2023: Proceedings of the 2nd European Workshop on Algorithmic Fairness Winterthur, Switzerland, June 7th to 9th, 2023. Alvarez, J. M. (redactie). CEUR-WS.org, (CEUR Workshop Proceedings; vol. 3442).Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open Access -
An AI-empowered infrastructure for risk prevention during medical examination
Shah, S. I. H., Naeem, M., Paragliola, G., Coronato, A. & Pechenizkiy, M., 1 sep. 2023, In: Expert Systems with Applications. 225, 10 blz., 120048.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Datasets
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openml-labs/gama: 20.0.1
Vanschoren, J. (Bijdrager), Zenodo, 2021
DOI: 10.5281/zenodo.5744277, https://zenodo.org/record/5744277
Dataset
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Random forest models for gene expression experiments in Transformational Machine Learning
Soldatova, L. N. (Ontwerper), King, R. D. (Ontwerper), Davis, A. M. (Ontwerper), Dash, T. (Ontwerper), Vanschoren, J. (Ontwerper), Olier, I. (Ontwerper) & Orhobor, O. I. (Ontwerper), SciLifeLab, 10 jan. 2022
DOI: 10.17044/scilifelab.16837084
Dataset
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Histopathology data of bone marrow biopsies (HistBMP or HistMNIST)
Tomczak, J. (Bijdrager), Zenodo, 18 mrt. 2018
Dataset
Prijzen
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Best Demo Paper Award of IEEE ICDE 2023
Halstead, Ben (Ontvanger), Koh, Yun Sing (Ontvanger), Riddle, Patricia (Ontvanger), Pechenizkiy, Mykola (Ontvanger) & Bifet, Albert (Ontvanger), 2023
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
Bestand -
Best Paper Award ICPM 2021
Menkovski, V. (Ontvanger), Sommers, Dominique (Ontvanger) & Fahland, Dirk (Ontvanger), 4 nov. 2021
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
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Best Paper Award of ALA 2022
Sokar, Ghada (Ontvanger), Mocanu, Elena (Ontvanger), Mocanu, Decebal C. (Ontvanger), Pechenizkiy, Mykola (Ontvanger) & Stone, Peter (Ontvanger), 2022
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
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2020 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020)
Shiwei Liu (Organisator)
13 sep. 2020 → 18 sep. 2020Activiteit: Types deelname aan of organisatie van een evenement › Congres › Wetenschappelijk
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Machine Learning, better, together.
Joaquin Vanschoren (Spreker)
8 dec. 2018Activiteit: Types gesprekken of presentaties › Genodigd spreker › Wetenschappelijk
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Tutorial on Automatic Machine Learning
Frank Hutter (Spreker) & Joaquin Vanschoren (Spreker)
3 dec. 2018Activiteit: Types gesprekken of presentaties › Keynote spreker › Wetenschappelijk
Knipsels
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Reports from University of Technology Sydney Add New Data to Findings in Technology (Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems)
1/09/23
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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New Gels Research Study Findings Recently Were Reported by a Researcher at Huaqiao University (Drying Process of HPMC-Based Hard Capsules: Visual Experiment and Mathematical Modeling)
16/06/23
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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Huaqiao University Researcher Describes Findings in Plasticizers (Enhancing Pullulan Soft Capsules with a Mixture of Glycerol and Sorbitol Plasticizers: A Multi-Dimensional Study)
30/05/23
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
Scripties/Masterproeven
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3D Face Reconstruction Using Deep Learning
Auteur: Jawahar, P., 20 jan. 2020Begeleider: Medeiros de Carvalho, R. (Afstudeerdocent 1), Gallucci, A. (Afstudeerdocent 2) & Vanschoren, J. (Afstudeerdocent 2)
Scriptie/Masterproef: Master
Bestand -
Activity Recognition Using Deep Learning in Videos under Clinical Setting
Auteur: Srinivasan, V., 28 jan. 2020Begeleider: Duivesteijn, W. (Afstudeerdocent 1), Papapetrou, O. (Afstudeerdocent 2), Zhang, L. (Externe persoon) (Externe coach) & Vasu, J. D. (Externe coach)
Scriptie/Masterproef: Master
Bestand -
A Data Cleaning Assistant
Auteur: Quadt, T. J., 2020Begeleider: Vanschoren, J. (Afstudeerdocent 1)
Scriptie/Masterproef: Bachelor
Bestand