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Individualized prediction of rare event risk using surrogate models

Asya Metelkina , Maria Joao Rendas
2016
Pré-publication, Document de travail hal-01318169v1
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Mission planning

Maria Joao Rendas
[Research Report] D5.5.2, Laboratoire d'Informatique, Signaux, et Systèmes Sophia Antipolis, CNRS UNS. 2016
Rapport hal-01318418v1

Most likely maximum entropy for population analysis: a case study in decompression sickness prevention

Youssef Bennani , Luc Pronzato , João Rendas
MAXENT' 2014, Sep 2014, Amboise, France. pp.414-421
Communication dans un congrès hal-01308242v1

Robust Tracking of Longitudinal Objects Lying on the Sea Floor with an AUV equipped of a Scanning Sonar

Christian Barat , Maria Joao Rendas
OCEANS'05, Sep 2005, Washington D.C, United States
Communication dans un congrès hal-01636505v1

Benthic Contour Mapping with a Profiler Sonar

Christian Barat , Maria Joao Rendas
ISOPE'04, May 2004, Toulon, France
Communication dans un congrès hal-01636491v1

Exploiting Naturals Contours for Automatic Sonar-to-Video Calibration

Christian Barat , Maria Joao Rendas
OCEANS EUROPE, Jun 2005, Brest, France
Communication dans un congrès hal-01636497v1

Randomized Cross-Validation

Maria Joao Rendas
SIAM Conference on Uncertainty Quantification, SIAM, Apr 2016, Lausanne, Switzerland
Communication dans un congrès hal-01318154v1
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Incremental construction of nested designs based on two-level fractional factorial designs

Rodrigo Cabral Farias , Luc Pronzato , Maria-João Rendas
J. Pilz, V.B. Melas, A. Bathke. Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications, Springer, pp.77-110, 2023, 978-3-031-40054-4. ⟨10.1007/978-3-031-40055-1_5⟩
Chapitre d'ouvrage hal-02483004v1
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Extending Morris Method: identification of the interaction graph using cycle-equitabe designs

Jean-Marc Fédou , Maria João Torres Dolores Rendas
Journal of Statistical Computation and Simulation, 2015, 85 (7), pp. 1281-1282. ⟨10.1080/00949655.2015.1008226⟩
Article dans une revue hal-01318096v1

Revisiting Morris method : a polynomial algebra for design definition with increased efficiency and observability

Jean-Marc Fedou , Menez Gilles , Luc Pronzato , João Rendas
SAMO’2013 (7th Int. Conf. on Sensitivity Analysis of Model Output), Jul 2013, Nice, France
Communication dans un congrès hal-01308301v1
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Validation of Machine Learning Prediction Models

Luc Pronzato , Maria Joao Rendas
The New England Journal of Statistics in Data Science, In press
Article dans une revue hal-03818234v1

OAT designs for mixed effects

Jean-Marc Fedou , Menez Gilles , Luc Pronzato , João Rendas
ERCIM 2012 (5th Int. Conf. of the ERCIM WG on Computing & Statistics), ERCIM, Dec 2012, Oviedo, Spain
Communication dans un congrès hal-01308287v1

Tracking benthic boundaries using a profiler sonar: a mixture model approach

Christian Barat , Maria Joao Rendas
OCEANS'03, Oct 2003, San diego, United States
Communication dans un congrès hal-01636481v1
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Model-free spatial Interpolation and error prediction for survey data acquired by mobile platforms

Maria-João Rendas
OCEANS 2016, IEES OES, Apr 2016, Shanghai, China
Communication dans un congrès hal-01318140v1

Benthic Boundary Detection and Tracking Using a Profiler Sonar

Christian Barat , Maria Joao Rendas
2004
Autre publication scientifique hal-01636516v1

Nonparametric density estimation with region-censored data

Youssef Bennani , Luc Pronzato , João Rendas
EUSIPCO, Sep 2014, Lisbonne, Portugal. 5 p
Communication dans un congrès hal-01308226v1

An alternative for the computation of IMSE optimal designs of experiments

Bertrand Gauthier , Luc Pronzato , João Rendas
7th Int. Workshop on Simulation, May 2013, Rimini, Italy
Communication dans un congrès hal-01308295v1

Efficient prediction designs for random fields

Werner G. Müller , Helmut Waldl , Luc Pronzato , João Rendas
SAMO'2013 (7th Int. Conf. on Sensitivity Analysis of Model Output), Jul 2013, Nice, France
Communication dans un congrès hal-01308299v1

Classification of sonar measures using optimized wavelets

Christian Barat , Maria Joao Rendas
OCEAN, Oct 2002, Biloxi, United States
Communication dans un congrès hal-01636400v1

Using statistical mixture models for tracking natural underwater boundaries

Maria Joao Rendas , Christian Barat
Unmanned Untethered Submersible Technology, Aug 2003, Durham, Russia
Communication dans un congrès hal-01636406v1

Most likely maximum entropy for population analysis with region-censured data

Youssef Bennani , Luc Pronzato , João Rendas
Entropy, 2015, 17 (6), pp.3963-3988. ⟨10.3390/e17063963⟩
Article dans une revue hal-01308165v1
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Equitable $(d,m)$-edge designs

Jean-Marc Fédou , Maria João Rendas
2013
Pré-publication, Document de travail hal-01318800v1
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Distributed Adaptive Sampling using Bounded-Errors

Kévin Huguenin , Maria João Rendas
1st International Conference on Networked Robots (ROBOCOMM), Oct 2007, Athens, Greece. pp.54, ⟨10.4108/ICST.ROBOCOMM2007.2185⟩
Communication dans un congrès hal-00437914v1

A robust visual attention system for detecting manufactured objects in underwater video

Christian Barat , Maria João Rendas
IEEE OCEANS'06, 2006, BOSTON, United States
Communication dans un congrès hal-00528318v1
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Adaptive design criteria motivated by a plug-in percentile estimator

Rodrigo Cabral Farias , Luc Pronzato , Maria-João Rendas
J. Pilz, V.B. Melas, A. Bathke. Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications, Springer, pp.141-177, 2023, 978-3-031-40054-4. ⟨10.1007/978-3-031-40055-1_8⟩
Chapitre d'ouvrage hal-02483076v1
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Sequential design for prediction Sequential design for prediction with Gaussian process models

Mona Abtini , Céline Helbert , François Musy , Luc Pronzato , Maria-João Rendas
2020
Pré-publication, Document de travail hal-02471110v1
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Incremental space-filling design based on coverings and spacings: improving upon low discrepancy sequences

Amaya Nogales Gómez , Luc Pronzato , Maria Joao Rendas
Journal of Statistical Theory and Practice, 2021, 15 (4), pp.77
Article dans une revue hal-02987983v3

Efficient prediction designs for random fields (discussion paper)

Werner G. Müller , Luc Pronzato , João Rendas , Helmut Waldl
Applied Stochastic Models in Business and Industry, 2015, 31 (2), pp.178-194
Article dans une revue hal-01308151v1

OAT designs for mixed effects

Gilles Menez , Jean-Marc Fedou , Luc Pronzato , João Rendas
Statistische Woche 2012 (German Statistical Week), Austrian Statistical Society, Sep 2012, Vienne, Austria
Communication dans un congrès hal-01308292v1

Maximum de vraisemblance non-paramétrique avec régions de censure. Application à un modèle biophysique de décompression

Youssef Bennani , Luc Pronzato , João Rendas
46èmes Journées de Statistiques, Jun 2014, Rennes, France. 6 p
Communication dans un congrès hal-01308248v1