Difference between revisions of "Florence le Ber"
Jump to navigation
Jump to search
m |
|||
| (29 intermediate revisions by 2 users not shown) | |||
| Line 8: | Line 8: | ||
E-mail: florence.leber at engees.unistra.fr | E-mail: florence.leber at engees.unistra.fr | ||
| − | |||
Phone: 33 3 88 24 82 30 | Phone: 33 3 88 24 82 30 | ||
| Line 14: | Line 13: | ||
'''Current and recent Projects''' | '''Current and recent Projects''' | ||
| − | * ONEMA (2015-2016) : Temporal data mining of national data on water courses ( | + | * TETRA (2023-26) : Toolbox and mEthodology for waTeR based Ai projects -- Funding ANR (Appel franco-allemand) -- in collaboration with Thales, Fraunhofer IOSB (leader), SEBA Hydrometrie GmbH & Co. KG. |
| − | * ANR FRESQUEAU (2011-2015) : Data mining for assessing and monitoring the hydrobiological quality of water streams | + | * SmartFCA (2022-25) : Formal Concept Analysis:A Smart Tool for Analyzing Complex Data - Funding: ANR - in collaboration with LIRMM (leader, Montpellier), LORIA (Nancy), IRISA (Rennes), L3I (La Rochelle), CIRAD, Infologic -- PhD Student: Vanessa Fokou |
| − | * AERM project Gerihco (2010-2013 / 2015- | + | * MoS-T (2021-25) : Mining and visualizing spatio-temporal patterns inside big graphs - Funding: ANR JCJC (leader Aurélie Leborgne) - in collaboration with Institut Pascal (Le Puy-en-Velay) -- PhD Student: Assaad Zeghina |
| + | * PARADISE (2021-24) : Mediaval pharmacopeia for designing tomorrow medicine - Funding: CNRS MITI - in collaboration with ARCHIMEDE, BSC, Herbier de Strasbourg -- PhD Student: Karim El Haff | ||
| + | * Organizing chair with Agnès Braud of [https://icfca2021.sciencesconf.org/ ICFCA 2021], June 29-July 2 2021 in Strasbourg | ||
| + | * co-chairing the [https://www.informatik.fb2.frankfurt-university.de/~icfca2019/ Int. Conference on Formal Concept Analysis], ICFCA 2019, Frankfurt, June 25-28 2019 | ||
| + | |||
| + | * AFB (2019-2020) : A tool for extracting temporal patterns of water quality status changes (leader Corinne Grac, LIVE) | ||
| + | * CS ENGEES (2019-2020) : AdQeau - Analysing water quality changes (with Pierre Gançarski) | ||
| + | * CS ENGEES (2016-2018) : Automatic recognition of sketch maps (leader Carine Heitz, Geste) | ||
| + | * API ICube SEMNET (2017-2018) : Sensor Networks for Smart Factories | ||
| + | * ONEMA (2015-2016) : Temporal data mining of national data on water courses (leader Corinne Grac, LIVE) | ||
| + | * ANR FRESQUEAU (2011-2015) : Data mining for assessing and monitoring the hydrobiological quality of water streams (leader Florence Le Ber) | ||
| + | * AERM project Gerihco (2010-2013 / 2015-2019) : Interdisciplinay approach to understand the muddy flood risk (leader Anne Rozan, Geste) | ||
'''Teaching''' | '''Teaching''' | ||
| − | |||
* Data Mining (master "Environmental Geography ") | * Data Mining (master "Environmental Geography ") | ||
* Description logics (master "Computer sciences") | * Description logics (master "Computer sciences") | ||
| + | |||
| + | |||
| + | '''Expertise''' | ||
| + | * Member of an ANR committee (appel générique) (2022, 2023) | ||
| + | * Member of the CSS 5 IRD scientific committee (2021-2026) | ||
| + | * Member of ANR/AFD Challenge IA-Biodiv scientific committee (2019) | ||
| + | * Member of INRA CEI -- Commission d'évaluation des ingénieurs (2013-2018) | ||
| + | * Member of Conseil Scientifique du bassin Rhin-Meuse (2013-2021) | ||
'''Previous labs''' | '''Previous labs''' | ||
| + | * LHYGES (2009 - 2012) | ||
| + | * CEVH (2003 - 2008) | ||
| + | * LORIA INRIA, équipe Orpailleur (2000 - 2002) | ||
* INRA Nancy, LIAB (1991 - 1999) | * INRA Nancy, LIAB (1991 - 1999) | ||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | + | '''Recent Publications''' | |
| − | + | C. Grac , A. Braud, P. Gançarski, A. Herrmann , F. Le Ber. | |
| + | Comparing the physico-chemistry dynamics of running waters (North-East of France) based on sequence clustering, | ||
| + | Ecological Informatics, page 101921, Volume 72, décembre 2022. | ||
| − | X. Dolques | + | A. Ouzerdine , A. Braud, X. Dolques, M. Huchard , F. Le Ber. |
| − | + | Adjusting the exploration flow in Relational Concept Analysis -- An experience on a watercourse quality dataset. Advances in Knowledge Discovery and Management, Rakia JAZIRI (Eds.), Springer, 2022. | |
| − | |||
| − | + | A. Braud, X. Dolques, A. Gutierrez , M. Huchard , P. Keip , F. Le Ber, P. Martin , C. Nica, P. Silvie. | |
| − | + | Dealing with Large Volumes of Complex Relational Data using RCA. CDA_FCA'2020, Rokia Missaoui, Léonard Kwuida, Talel Abdessalem (Eds.), Springer, 2022. | |
| − | + | C. Grac, X. Dolques, A. Braud, M. Trémolières, J.-N. Beisel, F. Le Ber | |
| + | Mining the sequential patterns of water quality preceding the biological status of waterbodies | ||
| + | Ecological Indicators, Elsevier, 2021, 130, ⟨10.1016/j.ecolind.2021.108070⟩ | ||
| − | + | C. Nica, A. Braud, F. Le Ber. | |
| + | RCA-Seq: An original approach for enhancing the analysis of sequential data based on hierarchies of multilevel closed partially-ordered patterns. | ||
| + | Discrete Applied Mathematics, Volume 273, 15 February 2020, pp. 232-251 | ||
| − | + | A. Braud, X. Dolques, M. Huchard, F. Le Ber. | |
| + | Generalization effect of quantifiers in a classification based on relational concept analysis. | ||
| + | Knowledge-Based Systems, Volume 160, 15 November 2018, pp. 119-135 | ||
| − | + | F. Le Ber, X. Dolques, L. Martin, A. Mille, M. Benoît | |
| + | Raisonner à partir de cas d’allocation dans des parcelles agricoles | ||
| + | RIA - Revue d'Intelligence Artificielle, 2017, 2017 (6), pp. 681-707 | ||
| − | |||
... others here : [https://hal.archives-ouvertes.fr/search/index/q/%2A/authFullName_s/Florence+Le+Ber/sort/producedDate_tdate+desc/ http://hal.archives-ouvertes.fr/...] | ... others here : [https://hal.archives-ouvertes.fr/search/index/q/%2A/authFullName_s/Florence+Le+Ber/sort/producedDate_tdate+desc/ http://hal.archives-ouvertes.fr/...] | ||
Latest revision as of 08:38, 29 March 2023
Dr. Engineer, HDR in computer sciences
Ecole Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES) : national engineering school of environmental hydraulics
Director of the research departement of ENGEES
E-mail: florence.leber at engees.unistra.fr
Phone: 33 3 88 24 82 30
Current and recent Projects
- TETRA (2023-26) : Toolbox and mEthodology for waTeR based Ai projects -- Funding ANR (Appel franco-allemand) -- in collaboration with Thales, Fraunhofer IOSB (leader), SEBA Hydrometrie GmbH & Co. KG.
- SmartFCA (2022-25) : Formal Concept Analysis:A Smart Tool for Analyzing Complex Data - Funding: ANR - in collaboration with LIRMM (leader, Montpellier), LORIA (Nancy), IRISA (Rennes), L3I (La Rochelle), CIRAD, Infologic -- PhD Student: Vanessa Fokou
- MoS-T (2021-25) : Mining and visualizing spatio-temporal patterns inside big graphs - Funding: ANR JCJC (leader Aurélie Leborgne) - in collaboration with Institut Pascal (Le Puy-en-Velay) -- PhD Student: Assaad Zeghina
- PARADISE (2021-24) : Mediaval pharmacopeia for designing tomorrow medicine - Funding: CNRS MITI - in collaboration with ARCHIMEDE, BSC, Herbier de Strasbourg -- PhD Student: Karim El Haff
- Organizing chair with Agnès Braud of ICFCA 2021, June 29-July 2 2021 in Strasbourg
- co-chairing the Int. Conference on Formal Concept Analysis, ICFCA 2019, Frankfurt, June 25-28 2019
- AFB (2019-2020) : A tool for extracting temporal patterns of water quality status changes (leader Corinne Grac, LIVE)
- CS ENGEES (2019-2020) : AdQeau - Analysing water quality changes (with Pierre Gançarski)
- CS ENGEES (2016-2018) : Automatic recognition of sketch maps (leader Carine Heitz, Geste)
- API ICube SEMNET (2017-2018) : Sensor Networks for Smart Factories
- ONEMA (2015-2016) : Temporal data mining of national data on water courses (leader Corinne Grac, LIVE)
- ANR FRESQUEAU (2011-2015) : Data mining for assessing and monitoring the hydrobiological quality of water streams (leader Florence Le Ber)
- AERM project Gerihco (2010-2013 / 2015-2019) : Interdisciplinay approach to understand the muddy flood risk (leader Anne Rozan, Geste)
Teaching
- Data Mining (master "Environmental Geography ")
- Description logics (master "Computer sciences")
Expertise
- Member of an ANR committee (appel générique) (2022, 2023)
- Member of the CSS 5 IRD scientific committee (2021-2026)
- Member of ANR/AFD Challenge IA-Biodiv scientific committee (2019)
- Member of INRA CEI -- Commission d'évaluation des ingénieurs (2013-2018)
- Member of Conseil Scientifique du bassin Rhin-Meuse (2013-2021)
Previous labs
- LHYGES (2009 - 2012)
- CEVH (2003 - 2008)
- LORIA INRIA, équipe Orpailleur (2000 - 2002)
- INRA Nancy, LIAB (1991 - 1999)
Recent Publications
C. Grac , A. Braud, P. Gançarski, A. Herrmann , F. Le Ber. Comparing the physico-chemistry dynamics of running waters (North-East of France) based on sequence clustering, Ecological Informatics, page 101921, Volume 72, décembre 2022.
A. Ouzerdine , A. Braud, X. Dolques, M. Huchard , F. Le Ber. Adjusting the exploration flow in Relational Concept Analysis -- An experience on a watercourse quality dataset. Advances in Knowledge Discovery and Management, Rakia JAZIRI (Eds.), Springer, 2022.
A. Braud, X. Dolques, A. Gutierrez , M. Huchard , P. Keip , F. Le Ber, P. Martin , C. Nica, P. Silvie. Dealing with Large Volumes of Complex Relational Data using RCA. CDA_FCA'2020, Rokia Missaoui, Léonard Kwuida, Talel Abdessalem (Eds.), Springer, 2022.
C. Grac, X. Dolques, A. Braud, M. Trémolières, J.-N. Beisel, F. Le Ber Mining the sequential patterns of water quality preceding the biological status of waterbodies Ecological Indicators, Elsevier, 2021, 130, ⟨10.1016/j.ecolind.2021.108070⟩
C. Nica, A. Braud, F. Le Ber. RCA-Seq: An original approach for enhancing the analysis of sequential data based on hierarchies of multilevel closed partially-ordered patterns. Discrete Applied Mathematics, Volume 273, 15 February 2020, pp. 232-251
A. Braud, X. Dolques, M. Huchard, F. Le Ber. Generalization effect of quantifiers in a classification based on relational concept analysis. Knowledge-Based Systems, Volume 160, 15 November 2018, pp. 119-135
F. Le Ber, X. Dolques, L. Martin, A. Mille, M. Benoît Raisonner à partir de cas d’allocation dans des parcelles agricoles RIA - Revue d'Intelligence Artificielle, 2017, 2017 (6), pp. 681-707
... others here : http://hal.archives-ouvertes.fr/...