Papers in International Journals

• Farinha, M; Amado, Conceição; Morgado, P; Cabral, J  (2022)  Increased excursions to functional networks in schizophrenia in the absence of task . Frontiers in Neuroscience: 16.

• Silva, Maria Almeida; Amado, Conceição; Ribeiro, A; Loureiro, D (2022)  Uncertainty evaluation in time-dependent measurements . Measurement: 196, 15.

• Santos, K; Dias, J P; Amado, Conceição (2022)  A literature review of machine learning algorithms for crash injury severity prediction . Journal of Safety Research: 80, 254-269.

• Santos, K; Dias, J P; Amado, Conceição; Sousa, J; Francisco, P (2021)  Risk factors associated with the increase of injury severity of powered two wheelers road accidents victims in Portugal . Traffic Injury Prevention: 22:8, 646-650.

• Silva, Maria Almeida; Loureiro, D; Amado, Conceição; Arregui, Francisco J. (2021)  Analysis of household telemetry consumption data for helping in the assessment of apparent and real losses in water distribution systems . Ingeniería del agua: 25.

• Furlan, P; Pfister, M; Matos. J; Amado, Conceição; Schleiss, A J (2021)  Blockage Probability Modeling of Large Wood at Reservoir Spillways With Piers . Water Resources Research: 57, e2021WR029722.

• Furlan, P; Pfister, M; Matos. J; Amado, Conceição; Schleiss, A J (2020)  Statistical accuracy for estimations of large wood blockage in a reservoir environment . Environmental Fluid Mechanics, 1-14.

• Furlan, P; Pfister, M; Matos, J; Amado, Conceição (2019)  Experimental repetitions and blockage of large stems at ogee crested spillways with piers . Journal of Hydraulic Research: 57(2), 250-262.

• Sutherland, L.S.; Amado, Conceição; Soares, C.G. (2019)  Statistical analyses of the effects of bonding parameters and fabrication robustness on the strength of adhesive T-joints . Composites Part B: Engineering: 175, 107063,.

• 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: 21, 394-411.

• 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.

• 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.

• 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.

• 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.

• 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).

• 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.

• 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.

• 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.

Books

• Amado, Conceição; Nunes, Cláudia; Sardinha, Alberto (2019)  Análise estatística de dados financeiros . SPE (183p): ISBN: 978-972-8890-43-8.

Papers or Chapters in Edited Books

• Sousa, R; Amado, Conceição; Henriques, R (2021)  AutoMTS: Fully Autonomous Processing of Multivariate Time Series Data from Heterogeneous Sensor Networks . In: Wu X., Wu K., Wang C. (eds) Quality, Reliability, Security and Robustness in Heterogeneous Systems. QShine 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering: vol 381, Springer, Cham.

• 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.

Communications in Conference Proceedings

• 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.

• Silva, Maria Almeida; Loureiro, Dália; Amado, Conceição; Ribeiro, Álvaro S. (2019)  Factors influencing the quality of flow measurements in drinking water systems - lessons learned . Flomeko 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.

• 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..

• Pereira, Susana; Heitor, Teresa; Costa, Nuno; Amado, Conceição (2017)  Caminhabilidade: uma questão de escala. . In PLURIS 2018 - 8º Congresso Luso-Brasileiro para o Planeamento Urbano, Regional, Integrado e Sustentável, Coimbra, Portugal, October 24--26, 2018.

• 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.

• 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..

• Valentina Marchionni; Marta Cabral ; Amado, Conceição; Dídia Covas (2015)  Water Supply Infrastructure Cost Modelling . Procedia Engineering: 119, 168 – 173.

• 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.

• 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.

• 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.

Thesis

• 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.

Papers in National Scientific Journals

• 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.

PhD Thesis Supervision

• Kenny Santos. Machine Learning and Computational Models for Vulnerable Road Users Safety (provisional title). PhD in Mechanical Engineering. IST/UL, Lisbon. Supervised by J. Dias (IST/DEM/IDMEC) and C. Amado. July 2019...
• 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 - ...
• 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.
   

 MSc Thesis Supervision (completed):

• Inês Sofia Nunes Duarte. Surgical Annotated 3D Model Fusion Automatic Alignment Calibration using Computer Vision. MSc in Mathematics and Applications, IST/UL, Lisbon. Supervisors: C. Amado and M. Silva (Microsoft). December 2021.    
• Miguel Lourenço Figueira Francisco Farinha. Brain Functional Connectivity in Schizophrenia - Disrupted Network Dynamics revealed by Functional Magnetic Resonance Imaging. MSc in Mathematics and Applications, IST/UL, Lisbon. Supervisors: C. Amado and J. Cabral (ICVS/UMinho). December 2021.
• Bruno Miguel Dos Reis Melgão. Point and Model-based Estimation of Volatility for S&P 500 and Bitcoin. MSc in Mathematics and Applications, IST/UL, Lisbon. Supervisors: C. Amado and I.M. Rodrigues (DM/IST). December 2021.
• Miguel Consiglieri Pedroso Mendes Dias. Test Scenario Generation for Validation of a Black-Box Automated Aircraft Trajectory Generator. MSc in Aerospace Engineering, IST/UL. Supervisors: C. Amado and C. Soares (FCT-UNL). November 2021.
• Rodrigo Mendes Ribeiro. Water Quality Analysis in Water Distributions Systems using Multivariate Statistics and Water Quality Indexes. MSc in Mathematics and Applications, IST/UL, Lisbon. Supervisors: C. Amado and L. Monteiro (CERIS). November 2021. 
• Olavo Gonçalves Bacelar. Deep Energy Networks for Data Completion. MSc in Mathematics and Applications, IST/UL, Lisbon. Supervisors: A. Martins (Unbabel), B. Martins (DEI/IST/INESC) and C. Amado. July 2021.
• Pedro Miguel de Aguiar Coelho. Addressing the Texture-Bias and Domain Generalization Performance of Convolutional Neural Networks for Simulation-Based Learning. MSc in Aerospace Engineering, IST/UL. Supervisors: C. Amado and F. Lau (DEM/IST). January 2021.
• Gilberto Daniel Ferreira Pires da Silva. Water Distribution Networks Design with Mixed Integer Non-Linear Programming. MSc in Mathematics and Applications, IST/UL, Lisbon. Supervisors: J. Figueira (DEG/IST) and C. Amado. January 2021.
• Ricardo Filipe Lourenço Nunes de Sousa. Autonomous Time Series Data Processing on Historical and Real-Time Settings.  MSc in Information Systems and Computer Engineering (MEIC-T). Supervisors: C. Amado and R. Henriques (DEI/IST/INESC). January 2021.
• Mariana Esteves Oliva. Text Analytics to Improve Telecommunication Customers Service Management from Unstructured Data. MSc in Mathematics and Applications, IST/UL, Lisbon. Supervisors: C. Amado and P. Soares. January 2021.
• Tiago André Anciães dos Santos. Unevenly Time Series Modelling of Water Flow Data: a First Approach. MSc in Mathematics and Applications, IST/UL, Lisbon. Supervisors: C. Amado and R. Barreira (IPS). January 2021.
• Leonor Martins da Silva. Churn Prediction within a Competitive Game. MSc in Mathematics and Applications, IST/UL, Lisbon. Supervisors: C. Amado and J. Vila Boa (Chilltime Lda). January 2021.
• Ana Sofia Mendes Agostinho. Clustering Methods and Finite Sampling Approaches to Estimate the Billed Water Consumption in a District Metered Area (DMA). MSc in Mathematics and Applications, IST/UL, Lisbon. January 2021.
• Ana Teresa Goucha Neves. Modeling and Prediction of a Stride Score.  MSc in Mathematics and Applications, IST/UL, Lisbon. Supervisors: C. Amado and A. Wichert (DEI/IST). October 2020.
• Maria Beatriz de Bivar Weinholtz Roseiro. A Financial Health Classification of Companies using Multivariate Ordering.  MSc in Mathematics and Applications, IST/UL, Lisbon. Supervisors: C. Amado and C. Palha (Tekever).  October 2020.   
• Inês Margarida Ribeiro de Oliveira. STE - A Survival Tree Ensemble: Application to the Prediction of Pipe Failures in Water Supply Systems.  MSc in Mathematics and Applications, IST/UL, Lisbon.  Supervisors: C. Amado and M. Azeitona (Baseform). December 2019.
• Bruna Alexandra Gregório Mason. Generalized Additive Model and Artificial Neural Networks for Water Demand.  MSc in Mathematics and Applications, IST/UL, Lisbon.  Supervisors: C. Amado and D. Loureiro (LNEC). December, 2019.
• Emanuel Seixas de Almeida e Sousa. Evaluating the Market for Electric Vehicles (EV) Using the Technology Acceptance Model (TAM). MSc in Industrial Engineering and Management,  IST/UL, Lisbon.  Supervisors: M. Mira da Silva (DEI/IST) and C. Amado. November 2019.
• Sara Filipa Carvalho Fernandes Alves. On the Optimization of Neural Networks for Sensorimotor Coordination. MSc in Mathematics and Applications, IST/UL, Lisbon. Supervisors:  A. Bernardino (DEEC/IST/ISR) and C. Amado. July, 2019.
• Marília Rodrigues dos Santos. Mathematical Modelling of Water Demand: Time Series Clustering and GAM models. MSc in Mathematics and Applications, IST/UL, Lisbon.  Supervisors: C. Amado and D. Loureiro (LNEC). July 2019.
• 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.

Seminars and Communications in Scientific Meetings with no associated publication (since 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).

Organization of conferences (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