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===== Research Projects ===== | ===== Research Projects ===== | ||
- | Check our [[http://viper.unige.ch/doku.php/research:publications|publication page]] for results. | + | The group is actively involved in several national and international projects and collaborations. |
- | The group is actively involved in several national and international projects: | + | See our [[http://viper.unige.ch/doku.php/research:publications|publication page]] for related results. |
==== Current Projects ==== | ==== Current Projects ==== | ||
- | === CollSpotting=== | + | === Structural Intrinsic Dimensionality=== |
- | CERN Funds - [[http://collspotting.web.cern.ch/|CollSpotting: Collaboration Spotting]] - CERN project | + | This [[https://data.snf.ch/grants/grant/207509|SNF-funded project]] aims at characterising structural properties of high-dimensional data space (such as that created by Flow Cytometry) using graph-based tools and machine learning strategies. |
- | **Hypergraph modelling** (Xavier Ouvrard): Hypergraph modelling for collaboration analysis and visualisation. | + | === High-dimensional Flow Cytometry=== |
- | {{https://www.groundai.com/media/arxiv_projects/405943/x1.png.750x0_q75_crop.png?100|Hypergraph modeling}} | + | In this collaboration with Geneva University Hospital, we analyse and visualize high-dimensional data from Flow Cytometry. |
- | **Data Quality** (Dimitris Dardanis): Outlier Detection for Data Quality monitoring. | + | === Collaboration=== |
+ | The Viper group collaborates closely with the [[http://dmml.ch/|Data Mining and Machine Learning (DMML)]] group of the University of Applied Sciences, Western Switzerland (HEG). | ||
- | The group is actively involved in several national and international projects: | + | ==== Former Projects ==== |
=== PubliMAPE=== | === PubliMAPE=== | ||
- | Etienne Brangbourg: Funded by FNR, Luxembourg | + | Etienne Brangbourg - PhD student - Funded by FNR, Luxembourg |
In this project, we use anaylsis of Social Media channels to support the monitoring of events (eg floods) as a complement to their geo/physical modeling. | In this project, we use anaylsis of Social Media channels to support the monitoring of events (eg floods) as a complement to their geo/physical modeling. | ||
- | ==== Former Projects ==== | + | === CollSpotting=== |
+ | CERN Project [[http://collspotting.web.cern.ch/|CollSpotting: Collaboration Spotting]] - Funded by CERN in collaboration with UniGE via the CERN doctoral scholarship scheme. | ||
+ | |||
+ | **Hypergraph modelling** (Xavier Ouvrard - PhD student): Hypergraph modelling for collaboration analysis and visualisation. | ||
+ | |||
+ | [[https://www.groundai.com/project/hypergraph-modeling-and-visualisation-of-complex-co-occurence-networks/|{{https://www.groundai.com/media/arxiv_projects/405943/x1.png.750x0_q75_crop.png?300|Hypergraph modeling}}]] | ||
+ | |||
+ | |||
+ | **Data Quality** (Dimitris Dardanis - PhD student): Outlier Detection for Data Quality monitoring. | ||
=== Machine Leaning and Information Geometry=== | === Machine Leaning and Information Geometry=== | ||
DIP Fund - [[http://courbure.com/k/|Ke Sun]] | DIP Fund - [[http://courbure.com/k/|Ke Sun]] | ||
In this project, we try to understand Machine Learning from an Information Geometric perspective. | In this project, we try to understand Machine Learning from an Information Geometric perspective. | ||
+ | |||
+ | [[https://archive-ouverte.unige.ch/unige:80017|Ke Sun's thesis]] ("Information geometry and data manifold representations") was awarded the [[https://phototheque.unige.ch/unige:100939|Excellence Prize from UniGE (2017)]]. | ||
=== MAAYA=== | === MAAYA=== |