Publications (ordered by year)

You can also see publications ordered by type, my Google Scholar or my DBLP page.

2019

• Luciano Grácio and Pedro Ribeiro. An efficient approach for counting occurring induced subgraphs. Proceedings of the 10th Conference on Complex Networks (CompleNet), Springer, Tarragona, Spain, March, 2019.
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• David Aparício, Pedro Ribeiro, Tijana Milenković and Fernando Silva. Temporal network alignment via GoT-WAVE. In Bioinformatics, Oxford University Press, February, 2019.
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2018

• André Diegues, José Pinto and Pedro Ribeiro. Automatic Habitat Mapping using Convolutional Neural Networks. Proceedings of the IEEE OES Autonomous Underwater Vehicle Symposium (AUV), IEEE, Porto, Portugal, November, 2018.
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• David Aparicio, Pedro Ribeiro and Fernando Silva. Graphlet-orbit Transitions (GoT): A fingerprint for temporal network comparison. In PLoS One, Vol. 13(10), e0205497, October, 2018.
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• Jorge Silva, Pedro Ribeiro and Fernando Silva. Hierarchical Expert Profiling using Heterogeneous Information Networks. Proceedings of the 21st International Conference on Discovery Science (DS), pp. 344-360, Springer, Limassol, Cyprus, October, 2018.
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• Miguel Araujo, Pedro Ribeiro and Christos Faloutsos. TensorCast: Forecasting Time-Evolving Networks with Contextual Information. Proceedings of the 27th International Joint Conference on Artificial Intelligence - Sister Conferences Best Papers (IJCAI), pp. 5199-5203, Stockholm, Sweden, July, 2018.
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• Miguel Araujo, Pedro Ribeiro, Hyun Ah Song and Christos Faloutsos. TensorCast: forecasting and mining with coupled tensors. In Knowledge and Information Systems, pp. 1-26, Springer, May, 2018.
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• Pedro Paredes and Pedro Ribeiro. Fast streaming small graph canonization. Proceedings of the 9th Conference on Complex Networks (CompleNet), pp. 27-40, Springer, Boston, USA, March, 2018.
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2017

• Miguel Araujo, Pedro Ribeiro and Christos Faloutsos . TensorCast: Forecasting with Context using Coupled Tensors. (Best Paper Award) Proceedings of the IEEE International Conference on Data Mining (ICDM), pp. 71-80, IEEE, New Orleans, USA, November, 2017.
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• David Aparício, Pedro Ribeiro and Fernando Silva. Extending the Applicability of Graphlets to Directed Networks. In IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 14(6), pp. 1302-1315, IEEE, November, 2017.
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• Ahmad Naser eddin and Pedro Ribeiro. Scalable Subgraph Counting using MapReduce. Proceedings of the 25th ACM Symposium On Applied Computing - Practical Aspects of High-Level Parallel Programming Track (ACMSAC), pp. 1574-1581, ACM, Marrakech, Morocco, April, 2017.
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• Sarvenaz Choobdar, Pedro Ribeiro and Fernando Silva. Evolutionary Role Mining in Complex Networks by Ensemble Clustering. Proceedings of the 25th ACM Symposium On Applied Computing - Social Network and Media Analysis Track (ACMSAC), pp. 1053-1060, ACM, Marrakech, Morocco, April, 2017.
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• Miguel Silva, Pedro Paredes and Pedro Ribeiro. Network motifs detection using random networks with prescribed subgraph frequencies. Proceedings of the 8th Conference on Complex Networks (CompleNet), pp. 17-29, Springer, Dubrovnik, Croatia, March, 2017.
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2016

• Miguel Araujo, Pedro Ribeiro and Christos Faloutsos . FastStep: Scalable Boolean Matrix Decomposition. Proceedings of the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 461-473, Springer, Auckland, New Zealand, April, 2016.
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• David Aparício, Pedro Ribeiro and Fernando Silva. A subgraph-based ranking system for professional tennis players. Proceedings of the 7th International Workshop on Complex Networks (CompleNet), pp. 159-171, Springer, Dijon, France, March, 2016.
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• Pedro Paredes and Pedro Ribeiro. Large Scale Graph Representations for Subgraph Census. Proceedings of the International School and Conference on Network Science (NetSciX), pp. 186-94, Springer, Wroclaw, Poland, January, 2016.
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2015

• Sarvenaz Choobdar, Pedro Ribeiro and Fernando Silva. Pairwise structural role mining for user categorization in information cascades. Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 137-144, IEEE, Paris, France, August, 2015.
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• Sarvenaz Choobdar, Pedro Ribeiro and Fernando Silva. Discovering weighted motifs in gene co-expression networks. Proceedings of the 25th ACM Symposium On Applied Computing - Data Mining Track (ACMSAC), pp. 10-17, ACM, Salamanca, Spain, March, 2015.
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• Pedro Paredes and Pedro Ribeiro. Rand-FaSE: Fast Approximate Subgraph Census. In Social Network Analysis and Mining, Vol. 5(1), pp. 1-18, Springer, 2015.
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• Sarvenaz Choobdar, Pedro Ribeiro, Srinivasan Parthasarathy and Fernando Silva. Dynamic inference of social roles in information cascades. In Data Mining and Knowledge Discovery, Vol. 29(5), pp. 1152-1177, Springer, 2015.
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2014

• Sarvenaz Choobdar, Pedro Ribeiro and Fernando Silva. Querying Volatile and Dynamic Networks. In Encyclopedia of Social Network Analysis and Mining, pp. 1456-1463, Springer, October, 2014.
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• David Aparício, Pedro Paredes and Pedro Ribeiro. A Scalable Parallel Approach for Subgraph Census Computation. Proceedings of the 7th International Workshop on Multi-/Many-Core Computing Systems (MuCoCos), pp. 194-205, Springer LNCS Vol. 8806, Porto, Portugal, August, 2014.
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• David Aparício, Pedro Ribeiro and Fernando Silva. Parallel subgraph counting for multicore architectures. Proceedings of the 12th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), pp. 34-41, IEEE, Milan, Italy, August, 2014.
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• Pedro Ribeiro and Fernando Silva. Discovering Colored Network Motifs. Proceedings of the 5th International Workshop on Complex Networks (CompleNet), Vol. 549, pp. 107-118, Springer SCI, Bologna, Italy, March, 2014.
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• Pedro Ribeiro and Fernando Silva. G-Tries: a data structure for storing and finding subgraphs. In Data Mining and Knowledge Discovery, Vol. 28(2), pp. 337-377, Springer, March, 2014.
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2013

• Pedro Paredes and Pedro Ribeiro. Towards a Faster Network-Centric Subgraph Census. Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 264-271, IEEE, Niagara Falls, Canada, August, 2013.
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2012

• Sarvenaz Choobdar, Pedro Ribeiro and Fernando Silva. Motif Mining in Weighted Networks. Proceedings of the 2nd IEEE ICDM Workshop on Data Mining in Networks (DaMNet), pp. 210-217, IEEE, Brussels, Belgium, November, 2012.
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• Sarvenaz Choobdar, Pedro Ribeiro and Fernando Silva. Event Detection in Evolving Networks. Proceedings of the 4th International Conference on Computational Aspects of Social Networks (CASoN), pp. 26-32, IEEE, São Carlos, Brazil, November, 2012.
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• Sarvenaz Choobdar, Pedro Ribeiro, Sylwia Bugla and Fernando Silva. Co-authorship network comparison across research fields using motifs. Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 147-152, IEEE, Istanbul, Turkey, August, 2012.
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• Pedro Ribeiro and Fernando Silva. Querying Subgraph Sets with G-Tries. (Best Paper Award) Proceedings of the 2nd ACM SIGMOD Workshop on Databases and Social Networks (DBSocial), pp. 25-30, ACM, Scottsdale, USA, May, 2012.
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• Pedro Ribeiro, Fernando Silva and Luís Lopes. Parallel Discovery of Network Motifs. In Journal of Parallel and Distributed Computing, Vol. 72(2), pp. 144-154, Elsevier, February, 2012.
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2011

• Sarvenaz Choobdar, Fernando Silva and Pedro Ribeiro. Network node label acquisition and tracking. Proceedings of the 15th Portuguese Conference on Artificial Intelligence (EPIA), pp. 418-430, Springer LNCS Vol. 7026, Lisbon, Portugal, October, 2011.
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• Pedro Ribeiro. Efficient and Scalable Algorithms for Network Motifs Discovery. PhD Thesis. Doctoral Programme in Computer Science. Faculty of Science of the University of Porto, June, 2011.
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• Pedro Ribeiro, Fernando Silva and Luís Lopes. A Parallel Algorithm for Counting Subgraphs in Complex Networks. Proceedings of the 3rd International Joint Conference on Biomedical Engineering Systems and Technologies, Revised Selected Papers (BIOSTEC), pp. 380-393, Springer CCIS Vol. 127, Valencia, Spain, 2011.
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2010

• Pedro Ribeiro, Fernando Silva and Luís Lopes. Efficient Parallel Subgraph Counting using G-Tries. Proceedings of the IEEE International Conference on Cluster Computing (CLUSTER), pp. 217-226, IEEE CS Press, Crete, Greece, September, 2010.
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• Pedro Ribeiro and Fernando Silva. Efficient Subgraph Frequency Estimation with G-Tries. Proceedings of the 10th International Workshop on Algorithms in Bioinformatics (WABI), pp. 238-249, Springer LNCS Vol. 6293, Liverpool, UK, September, 2010.
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• Pedro Ribeiro and Fernando Silva. G-Tries: an efficient data structure for discovering network motifs. Proceedings of the 25th ACM Symposium On Applied Computing - Bioinformatics Track (ACMSAC), pp. 1559-1566, ACM, Sierre, Switzerland, March, 2010.
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• Pedro Ribeiro, Fernando Silva and Luís Lopes. Parallel Calculation of Subgraph Census in Biological Networks. Proceedings of the 1st International Conference on Bioinformatics (BIOINFORMATICS), pp. 56-65, INSTICC, Valencia, Spain, January, 2010.
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2009

• Pedro Ribeiro, Fernando Silva and Marcus Kaiser. Strategies for Network Motifs Discovery. Proceedings of the 5th IEEE International Conference on e-Science (ESCIENCE), pp. 80-87, IEEE CS Press, Oxford, UK, December, 2009.
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• Pedro Ribeiro, Jennifer Simonotto, Marcus Kaiser and Fernando Silva. Parallel calculation of multi-electrode array correlation networks. In Journal of Neuroscience Methods, Vol. 184(2), pp. 357-365, Elsevier, November, 2009.
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• Pedro Ribeiro and Pedro Guerreiro. Improving the Automatic Evaluation of Problem Solutions in Programming Contests. In Olympiads in Informatics, Vol. 3, pp. 132-143, 2009.
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• Pedro Ribeiro, Hugo Simões and Michel Ferreira. Teaching Artificial Intelligence and Logic Programming in a Competitive Environment. In Informatics in Education, Vol. 8(1), 85-100, 2009.
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2008

• Pedro Ribeiro and Pedro Guerreiro. Early Introduction of Competitive Programming. In Olympiads in Informatics, Vol. 2, pp. 149-162, 2008.
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2007

• Pedro Ribeiro. An autonomous hybrid robot system to navigate through unknown maze environments. Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Soft Computing (ASC), pp. 274-279, Palma de Mallorca, Spain, August, 2007.
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• Pedro Ribeiro, Pedro Pereira, Luís Lopes and Fernando Silva. Plugging Computer Labs to the Grid. Proceedings of the 1st Iberian GRID Infrastructure Conference (IBERGRID), pp. 393-396, Santiago de Compostela, Spain, May, 2007.
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• Pedro Ribeiro and Pedro Guerreiro. Increasing the Appeal of Programming Contests with Tasks Involving Graphical User Interfaces and Computer Graphics . In Olympiads in Informatics, Vol. 1, pp. 149-164, 2007.
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2002

• Pedro Ribeiro. YAM (Yet Another Mouse) - Um Robot Virtual com Planeamento de Caminho a Longo Prazo. In University of Aveiro Electronics and Telecommunications Department Magazine, Vol. 3(7), pp. 672-674, September, 2002.
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