Tag Archives: Alexandros Kalousis

Our Researchers on the move

The members of the DMML group have been on the move over the last months, participating in different activities such as: summer schools, international collaborations and invited talks. Jeet participated to he summer school entitled ProbAi-2023 , that took place … Continue reading

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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

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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

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Research visits and international collaborations in our group

The last couple of weeks have been very vivid for our group, as we had the pleasure of welcoming two esteemed fellow researchers that visited us, Mr. Antoine Wehenkel from the University of Liège (Belgium) and Ms. Aicha Karite from … Continue reading

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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

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PhD Thesis defense of Lionel Blondé

Lionel Blondé will defend on Tuesday the 21st of December 2021 at 15:00 his PhD thesis entitled:  "Counterfactual Interactive Learning: Designing Proactive Artificial Agents that Learn from the Mistakes of other Decision Makers" Due to the health measures currently in … Continue reading

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PhD Thesis defense of Jason Ramapuram

Jason Ramapuram will defend on Wednesday the 15th of September 2021 at 13:00 his PhD thesis entitled:  "Finding signals in the void: Improving deep latent variable generative models via supervisory signals present within data."  co-directed by Prof. Stephane Marchand-Maillet and … Continue reading

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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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Papers in NeurIPS 2020

We are very happy to announce that the members of our team have had two accepted papers in NeurIPS 2020!

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TechLunch – meeting industry

In cooperation with the Geneva Creativity Center we're organizing on 22nd October 2019 a TechLunch to  discuss with companies in the Geneva region what machine learning can bring to them. It is an occasion for anybody interested in applying machine … Continue reading

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