Membros > Membros doutorados

Conceição Amado

Morada Institucional

Instituto Superior Técnico (IST)
Av. Rovisco Pais 1
1049-001 LISBOA


Telefone: +351 218417045 | Email: conceicao.amado@tecnico.ulisboa.pt

Posição

Professora Auxiliar, Instituto Superior Técnico, Universidade de Lisboa

Área

Estatística e Processos Estocásticos

Área Principal

Estatística multivariada, métodos robustos

Outra Área

Estatística aplicada, data mining

Orcid ID: 0000-0001-6664-6486

Scopus ID: 7801356098

ResearchGate: Conceição Amado

Google Scholar: Conceição Amado

Qualificações

  • Doutoramento em Matemática, IST, UTL, 2004
  • Mestrado em Estatística e Investigação Operacional, FCL, UL,1994

Publicações

Artigos em Revistas Internacionais

Cabral, M; Loureiro, D; Amado, Conceição; Mamade, A; Covas, D (2019) Demand scenario planning approach using regression techniques and application to network sectors in Portugal. Water Policy : wp2019029.
Carrasquinha, E; Amado, Conceição; Pires, Ana M. (2018) Image reconstruction based on circulant matrices. Signal Processing: Image Communication: 63, 72-80.
Silva, MA; Amado, Conceição; Loureiro, D (2018) Propagation of uncertainty in the water balance calculation in urban water supply systems - A new approach based on high-density regions. MEASUREMENT : 126, 356-368.
Silva, Maria Almeida; Amado, Conceição; Loureiro, Dália (2018) Propagation of uncertainty in the water balance calculation in urban water supply systems – A new approach based on high-density regions. Measurement: 126, 356–368.
Furlan, P; Pfister, M; Matos, J; Amado, Conceição (2018) Experimental repetitions and blockage of large stems at ogee crested spillways with piers.  Journal of Hydraulic Research: 57(2), 250-262 .
Carvalho, G; Amado, Conceição; Coelho, ST; Leitão, JP (2018)  Analysing the importance of variables for sewer failure prediction. Urban Water Journal: 15 (4), 338-345.
Sutherland, L. S.; Amado, Conceição; Guedes Soares, C. (2017) Statistical experimental design techniques to investigate the strength of adhesively bonded T-joints. COMPOSITE STRUCTURES: 159.
Barrela, Rui; Amado, Conceição; Loureiro, Dalia; Mamade, Aisha (2017) Data reconstruction of flow time series in water distribution systems - a new method that accommodates multiple seasonality. JOURNAL OF HYDROINFORMATICS: 19 (2).
Santos, P.; Leitão, J. P.; Coelho, S.; Amado, Conceição (2017) Stochastic data mining tools for pipe blockage failure prediction. Urban Water Journal: 14 (4), 343-353.
Loureiro, D. ; Mamade, A. ; Cabral, M. ; Amado, Conceição; Covas, D.  (2016) A Comprehensive Approach for Spatial and Temporal Water Demand Profiling to Improve Management in Network Areas. Water Resources Management: 30(10), 3443–3457.
Loureiro, D.; Amado, Conceição; Martins, A.; Vitorino, D; Coelho, ST (2016) Water distribution systems flow monitoring and anomalous event detection: a practical approach. Urban Water Journal: 13 (3), 242-252.
Marchionni, V. ; Cabral, M.; Amado, Conceição; Covas, D. (2016) Estimating water supply infrastructure cost using regression techniques. Journal of Water Resources Planning and Management: 142(4).
Cabral, M. ; Mamade, A. ; Loureiro, D.; Amado, Conceição; Covas, D. (2016) Modeling the effect of weather conditions on urban water demand in multiple network areas: a practical approach to improve monthly and seasonal operation. Journal of Water Supply: Research and Technology - Aqua: 65(8), 612-625.
Amado, Conceição; Bianco, Ana M.; Boente, Graciela; Pires, Ana M. (2014) Robust Bootstrap: An Alternative to Bootstrapping Robust Estimators. REVSTAT – Statistical Journal: 12(2), 169-197.
Martins, Andre; Leitao, Joao Paulo; Amado, Conceição (2013) Comparative Study of Three Stochastic Models for Prediction of Pipe Failures in Water Supply Systems. Journal of Infrastructure Systems: 19(4), 442-450.
Pires, Ana M.; Amado, Conceição (2008) Interval Estimators for a Binomial Proportion: Comparison of Twenty Methods. Revstat-Statistical Journal: 6(2), 165-197.
Amado, Conceição; Pires, Ana M. (2004)  Robust bootstrap with non-random weights based on the influence function. Communications in Statistics, Simulation and Computation: 33, 2, 377-396.

Artigos ou Capítulos em Livros Editados

Amado, Conceição; Pires, Ana M. (1999) A utilização da função de influência para melhorar o desempenho do método de reamostragem bootstrap. Afirmar a Estatística, um desafio para o século XXI. Carlos Daniel Paulino, António Pacheco, Ana Pires e Ferreira da Cunha(eds.). Edições SPE, Lisboa., 91-99.
Amado, Conceição; Pires, Ana M. (1998)  Uso de técnicas de reamostragem para selecção de variáveis em análise discriminante.. Estatística: a diversidade na unidade. M. Souto de Miranda e I. Pereira (eds.). Novas Tecnologias/Estatística, Edições Salamandra, Lisboa., 247-253.

Comunicações em Actas de Conferência

Silva, Maria Almeida; Loureiro, Dália; Amado, Conceição; Arregui, Francisco (2019) Análise de dados de telemedição domiciliária para aferição de perdas aparentes e reais em sistemas de distribuição de água. SEREA 2019, Lisbon.
Roque, D; Perissin, D; Falcão, AP; Amado, Conceição; Lemos, JV; Fonseca, AM (2018) Analysis of InSAR displacements for the slopes around Odelouca reservoir. Procedia Computer Science: 138, 338-345.
Pereira, Susana; Heitor, Teresa; Costa, Nuno; Amado, Conceição (2017) Take the healthy route: the weight of micro-scale built environment features on urban. In 14th International Conference on Urban Health, held in Coimbra on 26-29 September 2017.
Rita Alves; Pedro Galvão; Adélio Silva; Pedro Póvoa ; Dídia Covas ; Amado, Conceição (2017) DECISION-MAKING SUPPLY PLANS BY PROVISION OF CONSUMPTIONS IN SUPPLY SYSTEMS (in Portuguese). In ENEG 2017, Encontro Nacional de Entidades Gestoras de Água e Saneamento, held in Évora, on 21-24 November 2017. .
Almeida, S.; Correia, T.; Casimiro, R.; Amado, Conceição; Lança, R. ; Caetano, J.; Covas, D.; Silvestre, I. (2016) Avaliação da condição estrutural do sistema de drenagem de águas residuais com base em análise de risco e inspeção CCTV. 17º Encontro de Engenharia Sanitária e Ambiental (ENASB), 14-16 September 2016, Guimarães, Portugal.
Almeida, S.; Amado, Conceição; Caetano, J.; Casimiro, R.; Correia, T.; Covas, D.; Silvestre, I. (2016) Condition assessment of wastewater drainage systems: Cluster analysis and random Forest. Proceedings 14th International CCWI Conference (Computing and Control for the Water Industry), 7-9 November 2016, Amsterdam, Netherlands .
Cabral, M.; Loureiro, D. ; Silva, M. ; Mamade, A.; Amado, Conceição (2016) An automated approach for flow time-series classification in water distribution systems. Proceedings 14th International CCWI Conference (Computing and Control for the Water Industry), 7-9 November 2016, Amsterdam, The Netherlands..
Cabral, M.; Loureiro, D.; Silva, Maria Almeida; Mamade, A.; Amado, Conceição (2016) An automated approach for flow time-series classification in water distribution systems. Proceedings CCWI 2016, Netherlands.
Valentina Marchionni; Marta Cabral ; Amado, Conceição; Dídia Covas (2015) Water Supply Infrastructure Cost Modelling. Procedia Engineering: 119, 168 – 173.
Souto de Miranda, M.; Amado, Conceição; Silva, M. (2014) Robust profiling of Site Index. Proceedings of the 21st International Conference on Computational Statistics (COMPSTAT 2014), Geneva, Switzerland.
Vitorino, D.; Coelho, S.; Sheets, S.; Jurkovac, B.; Santos, P.; Amado, Conceição (2014) A Random Forest algorithm applied to condition based wastewater deterioration modeling and forecasting. Procedia Engineering (Proceedings of the 16th Conference on Water Distribution System Analysis (WDSA 2014), 14 - 17 July, Bari, Italy): 89, 401–410.
Carrasquinha, E.; Amado, Conceição; Pires, Ana M. (2014) Robust bootstrap confidence intervals: an application study for denoising images. Proceedings of the 14-th International Conference of Computational Science and its Applications (ICCSA 2014), June 30 - July 3, Guimarães, 181-185.
Mamade, A.; Loureiro, D; Covas, D; Coelho, S; Amado, Conceição (2014) Spatial and Temporal Forecasting of Water Consumption at the DMA Level Using Extensive Measurements. Procedia Engineering. Proceedings of 12th International Conference on Computing and Control for the Water Industry, CCWI2013: 70, 1063–1073.
Loureiro, D.; Borba, R; Rebelo, M.; Alegre, H.; Coelho, S.; Covas, D.; Amado, Conceição; Pacheco, António; Pina, A. (2009) Analysis of household night consumption. Proceedings of the CCWI 2009 conference, Integrating Water Systems, CRC Press, Londres, Reino Unido: ISBN 978-0-415-54851-9, 557-56.
Amado, Conceição; Pires, Ana M. (2000) Robust bootstrapping using influence functions. In Jansen, W. e Bethlehem, J. G. (editores) Proceedings in Computational Statistics 2000: Short Communications and Posters, Statistics Netherlands, Voorburg,, 83-84.

Teses

Amado, Conceição (2004) Robust Bootstrap based on influence function. (In Portuguese). Bootstrap Robusto com base na Função de Influência. PhD Thesis, Instituto Superior Técnico, UTL, Lisboa. Superviser: Ana M. Pires.
Amado, Conceição (1994) Sequenciamento das ordens de corte de papel: Modelo matemático e heurísticas. Master Thesis, Faculdade de Ciências , UL, Lisboa. Superviser: J. M. Pinto Paixão.

Artigos em Revistas Científicas Nacionais

Amado, Conceição (2017) Estatística: espelho meu, espelho meu que futuro terei eu?. Bulletin of the Portuguese Statistical Society: Autumn issue.
Pires, Ana M.; Amado, Conceição (2010) Analistas de dados seduzidos pelas potencialidades do R. Bulletin of the Portuguese Statistical Society: Autumn issue: 2, 56-58.
Amado, Conceição; Pires, Ana M. (2010) Gráficos em R - uma breve introdução. Bulletin of the Portuguese Statistical Society: Spring issue: 1, 52-62.

Outro Informação

Orientação de Teses de Doutoramento

  • Maria José Silva. Probability and Statistics Methods for Water Supply System Management (provisional title). PhD in Statistics and Stochastic Processes. IST/UL, Lisbon. Supervised by C. Amado, D. Loureiro (LNEC) and A. Pacheco (IST/UL). September 2017 - ...
  • Rita  Alves. Water Consummation Forecasting (provisional title). PhD in Environmental Engineering. IST/UL, Lisbon. Supervised by D. Covas (IST/DEC/CERIS) and C. Amado. February 2017- ...
  • Teresa Risso. Confidence Intervals by the Minimum Distance Method. Ph.D Program in Statistics and Stochastic Processes. IST/UL, Lisbon. Co-supervised by A. Pires (IST/UL), September, 2017.
  • Eunice Carrasquinha. Principal Component Analysis and Circulant matrices. Ph.D Program in Statistics and Stochastic Processes. IST/UL, Lisbon. Co-supervised by A. Pires (IST/UL), July, 2015.
     

 Orientação de Teses de Mestrado (concluídas):

  • João Brazuna. Anomaly Detection and Classification for Streaming Data. MSc in Mathematics and Applications, IST/UL, Lisbon. Dec, 2018. Supervisors:  C. Amado and P. Soares.
  • Ana Teresa Fernandes. Symbolic clustering and anomaly detection for business analytics. MSc in Mathematics and Applications, IST/UL, Lisbon. Dec, 2018. Supervisors: M. R. Oliveira and C. Amado.
  • Ana Marques. Mathematical modeling of garden watering demand. MSc in Mathematics and Applications, IST/UL, Lisbon. July, 2018. Co-supervised by D. Loureiro (LNEC).
  • Catarina Vaz. Clustering of Load Curves to Support Demand and Generation Forecast. MSc in Mathematics and Applications, IST/UL, Lisbon. November, 2017. Supervisors:  C. Amado and M. Pedro (EDP).
  • Joana Sousa. Analysis of pedestrian injury severity using Data Mining techniques. MSc in Mathematics and Applications, IST/UL, Lisbon. July, 2017. Supervisors:  C. Amado and J. Dias (DM/IST/IDMEC).
  • Manuel Goulão. Kinematic Data Filtering with Unscented Kalman Filter - Application to Senior Fitness Tests Using the Kinect Sensor. MSc in Biomedical Engineering, IST-UL, Lisbon.  November, 2017. Supervisors:  A. Bernardino (DEEC/IST/ISR) and C. Amado.
  • Nuno Lima. Development of an Aircraft Health Monitoring Program for Predictive Maintenance. MSc in Aerospace Engineering, IST/UL. November, 2017. Supervised by P. Serrão (DM/IST), A. Leite and C. Amado. 
  • Kenny Santos. Powered Two Wheelers Road Accidents: Identification of Risk Factors and Development of Computational Models for Scientific Reconstruction. MSc in Mechanical Engineering, IST/UL. Supervisors:  J. Dias (DM/IST/IDMEC) and C. Amado.
  • Patrícia Neves. Comparação estatística de medidas de qualidade de imagem: da visualização à quantificação. MSc in Mathematics and Applications, IST/UL, Lisbon. December, 2016. Co-supervised by E. Carrasquinha (IDMEC).
  • Maria Silva. Modelação da Incerteza e Deteção de Outliers para Melhoria do Diagnóstico de Perdas em Sistemas de Abastecimento de Água. MSc in Mathematics and Applications, IST/UL, Lisbon. December, 2016. Co-supervised by D. Loureiro (LNEC).
  • Xavier Henriques. Implementation of data mining techniques for attitude and orbit control systems. MSc in Aerospace Engineering. IST/UL. November, 2016. Co-supervised by F. Lau (IST/UL).
  • Ana Pereira. Analysis of the Claims Data of a Life Insurance Portfolio. MSc in Actuarial Science. ISEG/UL. July 2016. Co-supervised by O. Simões (ISEG-UL).
  • Irís Ferreira. Modelação de Taxas de Resgate em Seguros de Vida. MSc in Actuarial Science. ISEG/UL. May 2016. Co-orientadora: Ana Maria Martins Pereira (BPI).
  • Guilherme Carvalho. Data mining techniques to predict sewer condition. MSc in Mathematics and Applications, IST/UL, Lisbon. June 2015. Co-supervised by R. Brito (LNEC).
  • Rui Barrela. Data reconstruction of flow time series in water distribution networks. MSc in Mathematics and Applications, IST/UL, Lisbon, June 2015. Co-supervised by D. Loureiro (LNEC)
  • Catarina Diniz. Bootstrap Confidence Intervals on Symbolic Data Domain: A preliminary Study. MSc in Mathematics and Applications, IST/UL, Lisbon, June 2015.
  • Pedro Santos. Decision support tools for urban drainage system management . MSc in Mathematics and Applications, IST/UL, Lisbon, November, 2013.
  • Tiago Matos. Statistical Methods for Classification of Musical Genres. MSc in Mathematics and Applications, IST/UL, Lisbon, July, 2013.
  • Marta Pinto. Credit rating. A multivariate ordering question? MSc in Mathematics and Applications, IST/UTL, Lisbon, June, 2013. Co-supervised by A. M. Pires.
  • Marco Henriques. Planning and Control of Robotic Anthropomorphic Hands using Synergies. MSc in Mathematics and Applications, IST/UTL, Lisbon, June 2013. Co-supervised by A. Bernardino (DEEC/IST/ISR).
  • Fábio Ivan Maia Roque dos Reis. Pedestrian detection in images: a new approach based on dimensionality reduction and outliers detection rules. (Detecção de pedestres em imagens: Uma nova abordagem baseada na redução de dimensionalidade e regras de detecção de outliers.). In Portuguese. MSc in Mathematics and Applications, IST/UTL, Lisbon, December 2011. Co-supervised by A. Bernardino (DEEC/IST/ISR).
  • André Damião da Costa Martins. Stochastic models for prediction of pipe failures in water supply systems. MSc in Mathematics and Applications, IST/UTL, Lisbon, November 2011. Co-supervised by J. P. Leitão (LNEC).
  • Rodrigo Borba. Statistical modelling of household night water consumption. (Modelação Estatística do Consumo Nocturno Doméstico de Água.)In Portuguese. MSc in Applied Mathematics, IST/UTL, Lisbon. November 2009.
  • Raquel Escola. Obesity and childhood PHDA. (Obesidade e PHDA infantil: Modelo de Regressão Logística.) In Portuguese. MSc in Applied Mathematics, IST/UTL, Lisbon. November 2009.
  • Daniela Pontes. T and F tests: robust or not is the question! In Portuguese. ( Testes t e F: Robustos ou não, eis a questão!.) MSc in Applied Mathematics, IST/UTL, Lisbon. Co-supervised by João Branco, Mathematics Department, IST.
  • Sofia Raquel Cascais Ferreira Pinto. Robust Multivariate Regression. In Portuguese. (Regressão multivariada robusta.) MSc in Statistics, IST/UTL, Lisbon. Fevereiro 2009.
  • Helena Maria Aleixo Pereira. Robust Methods for Linear and Non-linear Regression. In Portuguese. (Métodos Robustos para Regressão Linear e Não Linear.) MSc in Statistics, IST/UTL, Lisbon. Janeiro 2008.
  • Carla Patrícia Fernandes dos Santos. Logistic Regression Model in the Study of Obesity in Portugal) Modelo de Regressão Logística no estudo da obesidade em Portugal. MSc in Mathematics, IST/UTL, Lisbon. October 2007.
  • Catarina Maria Miranda de Sousa Rego. Robust Methods for finite population sampling. In Portuguese. (Métodos Robustos em Amostragem em Populações Finitas.) MSc in Mathematics IST/UTL, Lisbon. October 2007.
  • Delfina Rosa Moura Barbosa, Methods for finite population sampling. In Portuguese. (Metodologias de amostragem em populações finitas.) MSc in Statistics, IST/UTL, Lisbon. July 2006.

Seminários e Comunicações em Encontros Científicos sem publicação associada (desde 2016)

  • Clustering and symbolic aggregation for outlier detection in many time series - application to water consumption. DSSV2018 – Data Science Statistics & Visualisation, Wien, Austria, July 9-11 (joint work with M. Silva and D. Loureiro)
  • Robust confidence intervals - a minimum distance approach. International Conference on Robust Statistics (ICORS 2018) Leuven, Belgium, July 2-6, 2018. Poster. (joint work with T. Risso and A.M. Pires)
  • Robustness in neural networks. XXV Jornadas de Classificação e Análise de Dados, JOCLAD2018, Almada, Portugal, 5-7 April, 2018 (joint work with J. A. Branco, A. M. Pires)
  • The Randomness in Space. Seminar. Department of Mathematics. University of Buenos Aires , Buenos Aires · Faculty of Exact and Natural Sciences, Argentina, October 27, 2017 (joint work with J. Brazuna).
  • Outlier detection for improved diagnosis of losses in water supply systems. XXIV Jornadas de Classificação e Análise de Dados, JOCLAD2017, Porto, Portugal, 31 March-2 April, 2017 (joint work with M. Silva and D. Loureiro)
  • Statistical evaluation of image quality measures: from visualization to quantification. XXIV Jornadas de Classificação e Análise de Dados, JOCLAD2017, Porto, Portugal, 31 March-2 April, 2017 (joint work with P. Neves and E. Trigueirão)
  • Propagation of Uncertainty in the Water Balance.  National Meeting of the Portuguese Statistical Society (SPE), Lisboa, Portugal,  18-21 October, 2017 (join work with M. Silva and D. Loureiro)
  • Robust confidence intervals using the minimum distance method. XXIII Jornadas de Classificação e Análise de Dados, JOCLAD 2016, Évora, 31 March-2 April, 2016, Évora, Portugal (join work with Risso, T. and Pires, A. M.)
  • ANOVA - a robust approach using the Influence Function. Statistical Week 2016, 13-16 September, Augsburg, Germany, Invited Speaker. (joint work with J. A. Branco, A. M. Pires).

    Organização de conferências  (desde 2016)
  • XXVI Jornadas de Classificação e Análise de Dados, JOCLAD2019, Viseu, Portugal, 11-13 April, 2019. (Chair of the Scientific Committee).  http://www.joclad.ipt.pt/joclad2019/pt/joclad2019/organizacao
  • XXV Jornadas de Classificação e Análise de Dados, JOCLAD2018, Almada, Portugal, 5-7 April, 2018. (Member of the Scientific Committee).  http://www.joclad.ipt.pt/joclad2018/pt/joclad2018/organizacao
  • DSSV2017-Data Science, Statistics & Visualisation, Lisbon, 12-14 July 2017. (Member of the Organizing Committee). http://iasc-isi.org/dssv2017/committees/local-organizing-committee/
  • XXIII Congresso da Sociedade Portuguesa de Estatística, Lisboa, Portugal, 18-21 October, 2017. (Member of the Scientific Committee).  http://spe2017.iscte-iul.pt/
  • XXIV Jornadas de Classificação e Análise de Dados, JOCLAD2017, Porto, Portugal, 20-22 April, 2017. (Member of the Scientific Committee).  http://www.joclad.ipt.pt/joclad2017/pt/joclad2017/organizacao
  • XXIII Jornadas de Classificação e Análise de Dados, JOCLAD2016, Évora, Portugal, 31 March-2 April, 2016. (Member of the Scientific Committee).  http://www.joclad.ipt.pt/joclad2017/pt/joclad2017/organizacao