i-Sense Publications



Adaptation and Learning

Alippi, C., D. Liu, Bu, L., Zhao, D. (2013) "Detecting and Reacting to Changes in Sensing Units: the Active Classifier Case", Systems, Man, and Cybernetics: Systems, IEEE Transactions on (To appear)
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Chen, H., Tino, P., Yao, X. (2013) ''Efficient Probabilistic Classification Vector Machine with Incremental Basis Function Selection'', IEEE Transactions on Neural Networks and Learning Systems, 25(2):356-369, 2014.
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Fernandez-Navarro, F., Gutierrez, P.A., Hervas-Martinez, C., Yao, X. (2013) ''Negative Ensemble Learning for Ordinal Regression'', IEEE Transactions on Neural Networks and Learning Systems, 24(11):1836-1849, November 2013.
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Reppa, V., Polycarpou, M. and Panayiotou, C. G. (2013) ''Adaptive approximation for multiple sensor fault detection and isolation of nonlinear uncertain systems'', IEEE Transactions on Neural Networks and Learning Systems (Early access article), 2013.
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Fernandez-Navarro, F., Campoy-Munoz, P., de la Paz-Marin, M., P.A., Hervas-Martinez, C., Yao, X. (2013) ''Addressing the EU sovereign ratings using an ordinal regression approach'', IEEE Transactions on Cybernetics, 43(6):2228-2240, December 2013.
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Alippi, C., Boracchi, G., Roveri, M. (2013) "Just In Time Classifiers for Recurrent Concepts", IEEE Special issue on Learning in Nonstationary and Evolving Environments, IEEE Transactions on Neural Networks and Learning Systems, Vol.24, No.4., pp.620-634, April,  2013
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Tino, P., Chong, S.Y., Yao, X. (2013) "Complex Co-Evolutionary Dynamics - Structural Stability and Finite Population Effects", Evolutionary Computation, IEEE Transactions on , vol.17, no.2, pp.155,164, April 2013
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Lin, M., Tang, K., Yao, X. (2013) "Dynamic Sampling Approach to Training Neural Networks for Multiclass Imbalance Classification", Neural Networks and Learning Systems, IEEE Transactions on , vol.24, no.4, pp.647,660, April 2013
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Bhowan, U., Johnston, M., Zhang, M., Yao, X. (2013), "Evolving Diverse Ensembles using Genetic Programming for Classification with Unbalanced Data", Evolutionary Computation, IEEE Transactions on , vol.17, no.3, pp.368,386, June 2013
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Soares, R. G. F., Chen, H., Yao, X. (2013) ''A Fully Semi-supervised Ensemble Approach to Multi-class Classification'' submitted to IEEE Transactions on Neural Networks and Learning Systems, 2013
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Wang, S., Minku, L.L., Yao, X. (2013) ''Class Imbalance Analysis in Online Class Imbalance Learning'' submitted to IEEE Transaction of Knowledge and Data Engineering, 2013
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J. Quevedo, H. Chen, M. A. Cuguero, P. Tino, V. Puig, D. Garcia, R. Sarrate, X. Yao (2013) ''Combining Learning Fault Diagnosis in Model Space with Data Validation/Reconstruction in Critical Infrastructure Systems: Application to the Barcelona Water Network'', Engineering Application of Artificial Intelligence, 2013 (To appear)
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Chen, H., Tino, P. Yao, X., (2013) ''Diagnose Faults in Tennessee Eastman Process'' submitted to Computers & Chemical Engineering, 2013
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Soares, R. G. F., Chen, H., Yao, X. (2013) ''Efficient Boosting for Semi-supervised Classification'' submitted to IEEE Transactions on Knowledge and Data Engineering, 2014.
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Alippi, C., Bu, L., Zhao, D. (2012) "Recurrent SVD-based embedding machines for online concept drift detection in datastreams" submitted to the IEEE Transactions on Neural Networks and Learning Systems.
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Soares, R. G. F., Chen, H., Yao, X. (2012), "Semisupervised Classification with Cluster Regularization'', Neural Networks and Learning Systems, IEEE Transactions on, vol.23, no.11, pp.1779,1792, Nov. 2012.
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Chen, H., Tino, P., Rodan, A., Yao, X. (2012) "Learning in the Model Space for Cognitive Fault Diagnosis'', IEEE Transactions on Neural Networks and Learning Systems, 25(1):124-136, 2014.
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Wang, S., Yao, X. (2012) "Multi-Class Imbalance Problems: Analysis and Potential Solutions'', IEEE Transactions on Systems, Man and Cybernetics, Part B, 42(4):1119-1130, August 2012
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Rodan, A., Tino, P. (2012) "Simple Deterministically Constructed Cycle Reservoirs with Regular Jumps'', Neural Computation, 24(7), pp. 1822-1852, 2012.
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Islam, M. M., Yao, X., Murase, K. (2012) "MWMOTE --- Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning'', IEEE Transactions on Knowledge and Data Engineering, 26(2):405-425, 2014.
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Alippi, C., Boracchi, G., Roveri, M. (2011) "A just-in-time adaptive classification system based on the intersection of confidence intervals rule", Neural Networks, Elsevier vol. 24 (2011), pp. 791-800.
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Cugueró, M., Christodoulou, M., Quevedo, J., Puig, V., García, D., Michaelides, M., (2014) “Combining Contaminant Event Diagnosis with Data Validation/Reconstruction: Application to Smart Buildings " submitted to 22nd Mediterranean Conference on Control & Automation (MED14).
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Reppa, V., Polycarpou, M., Papadopoulos, P., Panayiotou, C. G. (2014) "A distributed virtual sensor scheme for smart buildings based on adaptive approximation " submitted to IEEE International Joint Conference on Neural Networks (IJCNN), July 6-11 2014, Beijing.
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Cugueró M.À., Quevedo J., Puig V., García, D. (2014) "Inconsistent Sensor Data Detection/Correction: Application to Environmental System " submitted to IEEE International Joint Conference on Neural Networks (IJCNN), July 6-11 2014, Beijing.
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Boracchi, G., Roveri, M. (2014) "A Reconfigurable and Element-wise ICI-based Change-Detection Test for Streaming Data" submitted to CIVEMSA 2014, Computational Intelligence and Virtual Environments for Measurements Systems and Applications
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Boracchi, G., Roveri, M. (2014) "Exploiting Self-Similarity for Change Detection" submitted to IJCNN 2014, International Joint Conference on Neural Networks, Beijing, China, July 6-11, 2014
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Wang, S., Minku, L.L., and Yao, X. (2014) "A Multi-Objective Ensemble Method for Online Class Imbalance Learning", submitted to IJCNN 2014, International Joint Conference on Neural Networks, Beijing, China, July 6-11, 2014
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Rotondo D., Reppa V., Puig V., Nejjari F. (2013) "Adaptive observer for switching Linear Parameter-Varying (LPV) systems ", the 19th World Congress of the International Federation of Automatic Control, Cape Town, South Africa, August 24-29, 2014 (To appear)
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Stavrou, D., Eliades, D. G., Panayiotou, C. G., & Polycarpou, M. (2013) “A Path Correction Module for two-wheeled service robots under actuator faults”, in Proceedings of the 21st Mediterranean Conference on Control & Automation (MED), 2013, pp. 1119-1126.
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Wang, S., Minku, L.L., Ghezzi, D., Caltabiano, D., Tino, P. and Yao, X. (2013) "Concept Drift Detection for Online Class Imbalance Learning ", in Proceedings of IJCNN (International Joint Conference on Neural Networks), Dallas, Texas, USA, 4-9 August, 2013.
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Alippi, C., Bu, L., Zhao, D. (2013) "A Prior-Free Encode-Decode Change Detection Test to Inspect Datastreams for Concept Drift ", in Proceedings of IJCNN (International Joint Conference on Neural Networks), Dallas, Texas, USA, 4-9 August, 2013.
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Alippi, C., Ntalampiras, S., Roveri, M. (2013) "Model ensemble for an effective on-line reconstruction of missing data in sensor networks", in Proceedings of IJCNN (International Joint Conference on Neural Networks), Dallas, Texas, USA, 4-9 August, 2013.
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Chen, H., Tang, F., Tino, P., Yao, X. (2013) "Model-based Kernel for Efficient Time Series Analysis", in Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Chicago, USA, August 11-14, 2013, pp. 392-400 .
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Wang, S., Minku, L.L., and Yao, X. (2013) "A Learning Framework for Online Class Imbalance Learning", in Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI) 2013, Singapore, pp. 36-45.
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Alippi, C., Bu, L., Zhao, D. (2012), "SVM-based just-in-time adaptive classifiers", In Proceedings of 19th International Conference on Neural Information Processing (ICONIP 2012), Doha, Qatar, November 12-15, 2012, Part II, pp 664-672.
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Alippi, C., Boracchi, G., Roveri, M. (2012) "Just-In-Time Ensemble of Classifiers", In Proceedings of IJCNN (International Joint Conference on Neural Networks), Brisbane, Australia, June 10-15, 2012.
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Minku, L. L., Yao, X. (2012) "Can Cross-company Data Improve Performance in Software Effort Estimation?", in Proceedings of the 8th International Conference on Predictive Models in Software Engineering (PROMISE), pp. 69-78, Lund, Sweden, September 2012 
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Minku, L. L., Yao, X. (2012) "Using Unreliable Data for Creating More Reliable Online Learners", in Proceedings of 2012 IJCNN International Joint Conference on Neural Networks, Brisbane, Australia, pp. 1-6, June 2012
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Alippi, C., Boracchi, G., Roveri, M. (2011) "An Effective Just-in-Time Adaptive Classifier for Gradual Concept Drifts", In Proceedings of IJCNN (International Joint Conference on Neural Networks), San Jose, California (USA) July 31 - August 5, 2011. 
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