Data Science and Process Mining

Visual interactive support for selecting scenarios from time-series ensembles, G. Schardong, A. M. B. Rodrigues, S. D. J. Barbosa, H. Lopes. Decision Support Systems 113, pp. 99-107 (2018).

Seismic Fault Detection Using Convolutional Neural Networks trained on Synthetic Post-stacked Amplitude Maps, A. Pochet, P. H. B. Diniz, H. Lopes, M. Gattass, IEEE Geoscience and Remote Sensing Letters (2018).

Dealing with heterogeneous Google Earth images on Building Area Detection taskC. Almeida, W. Fernandes, S. D. J. Barbosa and H. Lopes, 23rd Iberoamerican Congress on Pattern Recognition, CIARP 2018.

Applying Pattern-Driven Maintenance: A Method to Prevent Latent Unhandled Exceptions in Web ApplicationsD. S. Mendonça, T.G. Silva, D. F. Oliveira, S. J. Brandão, H. Lopes, S. D. J. Barbosa, ; M. Kalinowsky, A. Von Staa, ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), p. 1-10 (2018).

A Novel Committee-Based Clustering Method, S. Fiol Gonzalez, C. F. P. Almeida, S. D. J. Barbosa, H. Lopes, DaWaK 2018 - 20th International Conference on Big Data Analytics and Knowledge Discovery, 2018, Regensburg. LNCS - Proceedings of the 20th International Conference on Big Data Analytics and Knowledge Discovery. Berlim: Springer  v. 11031. p. 126-136, (2018).

Visual support to filtering cases for process discovery,  L Schirmer, L Q. Campagnolo, S. F. Gonzalez, A. M. B. Rodrigues, G. Schardong, R. França, M. Lana., S. D. J. Barbosa, M. Poggi, H. Lopes, 19th International Conference on Enterprise Information Systems - ICEIS  (2018)  (Selected as one of the best papers for a book on LNCS series).

STAIRWAY TO VALUE: Mining the loan application process, Ariane Rodrigues, Cassio Almeida, Daniel Saraiva, Felipe Moreira, Georges Spyrides, Guilherme Varela, Gustavo Krieger, Igor Peres, Leila Dantas, Mauricio Lana, Odair Alves, Rafael França, Ricardo Neira, Sonia Gonzalez, William Fernandes, Simone Barbosa, Marcus Poggi, and Hélio Lopes, 13th Business Process Intellingence Workshop - BPI Challenge 2017  (WINNER at the Academic Category).

On computing travel time functions from Trajectory Data Streams,  S. M. Nascimento, J. A. F. de Macedo, H. Lopes, M. A. Casanova, J. de Castro Machado, Proceedings of the 8th ACM SIGSPATIAL International Workshop on GeoStreaming, IWGS 2017, pp. 11-20 (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, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 22nd Iberoamerican Congress on Pattern Recognition, CIARP 2017, LNCS 10657, pp. 28-35, (2017).

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).

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).

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).

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).

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
Rua Marquês de São Vicente 225, Gávea, Rio de Janeiro, RJ, Brazil, CEP 22451-900