Data Science and Cloud Computing

Stattistical tools for the temporal analysis and classification of lung lesions, S. M. B. Netto, A. C. Silva, H. Lopes, A.C. Paiva, R. A. Nunes, M. Gattass, Computer Methods and Programs in Biomedicine 142: pp 55-72 (2017).

Mining the Criminal Data of Rio de Janeiro: Analyzing the Impact of the Pacifying Police Units Deployment,  S. F. Gonzalez, C. F. P. Almeida, P. C. L. Souza, S. D. J. Barbosa, H. Lopes, 22nd Iberoamerican Congress on Pattern Recognition - CIARP (2017, to appear).

CrimeVis: An intereactive visualization system for analyzing criminal data in the State of Rio de Janeiro, L. Schimer Silva, S. F. Gonzalez, C. F. P. Almeida, S. D. J. Barbosa, H. Lopes, 19th International Conference on Enterprise Information Systems - ICEIS (2017, to appear).

An approach to evaluate the impact on travel time of bus network changes, K. Rodriguez, M. A. Casanova,  H. Lopes, J. A. Macedo. 19th International Conference on Enterprise Information Systems - ICEIS (2017, to appear).

A heuristic approach for on-line discovery of unidentified spatial clusters from grid-based streaming algorithms, M. Roriz Junior, M. Endler, F. Silva e Silva, M. A. Casanova and H. Lopes, 18th International Conference on Big Data Analytics and Knowledge Discovery - DaWaK (2016).

BusesInRio: buses as mobile traffic sensors, B. Guberfain do Amaral, R. Nasser, M. A. Casanova, H. Lopes, IEEE Mobile Data Management - MDM (2016).

On the design of a traffic observatory application based on bus trajectories, K. Rodriguez, M. A. Casanova, L. A. Paes Leme, H. Lopes, R. Nasser, B. G. do Amaral, 18th International Conference on Enterprise Information Systems - ICEIS (2016).

A methodology for traffic-related Twitter messages interpretation, F. Albuquerque, M. A. Casanova, H. Lopes, L. Redlich, J.A.F. de Macedo, M. Lemos, M. Tilio M. de Carvalho, C. Renso, Computers in Industry 78, pp. 57-69 (2016).

An Adaptive Implicit Feedback Model for Short Clips Recommendations, R. Pereira, H. Lopes, 2nd  Workshop on Recommendation Systems for Television and Online Video (RecSysTV 2015) at the ACM RecSys (2015).

Uncertainty Measures and the concentration of probability density functions, H. Lopes, S. Barbosa: Learning and Inferring: Festschrift for Alejandro Frery, pp. 90-102 (2015). 

Constructive Regression on Implicit Regions, J. Kubrusly, H. Lopes, Advances and Applications in Statistics 45(3), pp. 201-223 (2015).

Uncertainty Quantification through Monte Carlo method in a Cloud Computing setting, A. Cunha Jr., R. Nasser, R. Sampaio, H. Lopes, K. Breitman, Computer Physics Communications 185(5), pp. 1355-1363 (2014).

Cloud based real-time collaborative filtering for item-item recommendations, R. Pereira, H. Lopes , K. Breitman, V. Mundim, W. Peixoto, Computers in Industry 65(2), pp. 279-290 (2014).

FGNG: a Fast multi-dimensional Growing Neural Gas implementation, C. A. Mendes, M. Gattass, H. Lopes,  Neurocomputing 128(27), pp. 328-340 (2014).

Yield Curve Forecasts and the Predictive Power of Macro Variables in a VAR framework, L. Vereda, H. Lopes, J. Kubrusly, A. Pizzinga, Journal of Reviews on Global Economics 3, pp 377-393 (2014).

A cloud computing based framework for general 2D and 3D cellular automata simulation, R. Marques, B. Feijo, K. Breitman, T. Gomes, L. Ferracioli, H. Lopes, Advances in Engineering Software 65, pp. 78-89 (2013).

e-mail: lopes at inf dot puc-rio dot br
Tel: 55+21+3527-1500 R:4350  Fax: 55+21+3527-1530
Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio) - Departamento de Informática - Sala 408 RDC
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