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Tag Archives: snsf
Learning generative models for molecules
Drug discovery is a well-known and challenging problem. Typically, one needs to navigate through a vast chemical space of up to \( 10^{60} \) small organic molecules to find a potential drug candidate with desired properties. Such a trial-and-error process … Continue reading
Posted in projects
Tagged generative modeling, graph network, machine learning, research project, snsf
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MIGRATE – A Multidisciplinary and InteGRated Approach for geoThermal Exploration
To mitigate climate change, our society must reduce its carbon footprint coming from fossil fuel energies and favor green energy solutions instead. Geothermal energy is a resource this available in abundance. However, the development of this sector is hindered by … Continue reading
Posted in projects
Tagged machine learning, research project, snsf
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Interpretable Condition Monitoring for Complex Engineering Systems
Just as it is important for us to monitor our own body in order to maintain good health, we should have an accurate understanding of the state of engineering systems in order to prevent failures. In this project, entitled "Interpretable … Continue reading
Posted in projects
Tagged machine learning, Naoya Takeshi, research project, snsf
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Post-doc position on grey-box machine learning (closed)
The Data Mining and Machine Learning group (http://dmml.ch/) at the University of Applied Sciences in Geneva has an opening for a full-time post-doc position. The research target is to develop grey-box (hybrid) machine learning methods that combine data-driven models such … Continue reading
Posted in news, recruitment
Tagged Alexandros Kalousis, dmm, machine learning, Naoy Takeishi, postdoc, project, recruitment, research project, snsf
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Four new research projects!
The second half of 2022 has been very exiting! Our team has kicked-off 4 new research projects. In short, the projects are the following ones: EO4EU: a Horizon Europe project related to Earth Observation Automated Bridge Defect Recognition: an Innosuisse … Continue reading
Posted in news
Tagged Alexandros Kalousis, eo4eu, european project, Greg, Grigorios G. Anagostopoulos, Horizon, innossuise, project, research project, snsf, synergia
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Dmml is growing by the addition of three new team members
We are delighted to announce that our team has grown, as three new members have joined us within the last months. Dr. Nils Schaetti has joined our team this Fall. Nils holds a PhD from the University of Neuchâtel and … Continue reading
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Tagged generative modeling, Hervégil, imahn, new member, nils, phd, phd in machine learning, phd student, postdoc, project, research project, snsf
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New Journal Paper in Sensors MDPI
Our latest paper: “Can I Trust This Location Estimate? Reproducibly Benchmarking the Methods of Dynamic Accuracy Estimation of Localization”. has been published in the Journal Sensors by MDPI. This work reviews the relevant literature related to the accuracy estimation of indoor positioning … Continue reading
Posted in news
Tagged Alexandros Kalousis, eratosthenes, Grigorios G. Anagostopoulos, IoT positioning, localization, LoRaWAN, LoRaWAN positioning, outdoor localization, Outdoor positioning, paper, positioning, snsf
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Best student paper award by Joao Ramos in ECML/PKDD 2021
It is our pleasure to announce that Joao Ramos received the best student data mining paper award in ECML/PKDD 2021 for the work he did in modelling pathological gait to eventually support treatment planning. Joao's work takes place in the … Continue reading
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Tagged Alexandros Kalousis, award, best paper award, conference, ECML/PKDD conference, graph network, Joao, Lionel Blonde, paper, SimGait, snsf, VAE
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Eratosthenes: Deep generative modeling for indoor and outdoor positioning with fingerprinting methods
Eratosthenes is a research project funded under the Spark funding scheme of the Swiss National Science Foundation (SNSF). The aim of the Spark is to fund postdoctoral researchers to implement "projects that show unconventional thinking and introduce a unique approach". The relevant criteria for the award … Continue reading
Posted in projects
Tagged generative modeling, Greg, Grigorios G. Anagostopoulos, IoT, IoT positioning, localization, LoRaWAN positioning, outdoor localization, Outdoor positioning, positioning, postdoc, project, research project, snsf, VAE
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SNSF Spark project granted to Dr. Grigorios Anagnostopoulos
We are delighted to announce that Dr. Grigorios Anagnostopoulos has been awarded a funding under the Spark funding scheme of the Swiss Nation Science Foundation (SNSF), for his project "Eratosthenes: Deep generative modeling for indoor and outdoor positioning with fingerprinting methods".
Posted in news
Tagged eratosthenes, grant, Greg, Grigorios G. Anagostopoulos, project, research project, snsf, spark
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