Conferences and Workshops

INTERNATIONAL CONFERENCE

  • C. Alippi, R. Ambrosini, D. Cogliati, V. Longoni, M. Roveri, “A lightweight and energy-efficient Internet-of-Birds Tracking System”, IEEE International Conference on Pervasive Computing and Communications (PerCom 2017), Hawaii, USA, 13-17 March 2017.
  • C. Alippi, S. Ntalampiras and M. Roveri, “Designing HMM Models in the Age of Big Data”, INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece, 2016. This paper won the Best Regular Paper Award.
  • G. Tacconelli, M. Roveri, “A CPM-based Change Detection Test for Big Data”, INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece, 2016.
  • Cesare Alippi, Giacomo Boracchi, Diego Carrera, Manuel Roveri, “Change Detection in Multivariate Datastreams: Likelihood and Detectability Loss”, in Proc. International Joint Conference of Artificial Intelligence (IJCAI) 2016, New York, USA, July 9 – 13
  • Cesare Alippi, Stavros Ntalampiras and Manuel Roveri, “Online Model-free Sensor Fault Identification and Dictionary Learning in Cyber-Physical Systems”, in Proc. IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2016), July 24 – 29, 2016, Vancouver, Canada.
  • Manuel Roveri, Cesare Alippi and Wen Qi, “An improved Hilbert-Huang Transform for non-linear and time-variant signals”, in Proc. 26th Italian Workshop on Neural Networks (WIRN 2015), May 18-20, 2016, Vietri Sul Mare, Italy
  •  Manuel Roveri, Giacomo Boracchi, Michalis P Michaelides, “Detecting Contaminants in Smart Buildings by Exploiting Temporal and Spatial Correlation” in Proc. 2015 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2015), Dec. 7-10, 2015, Cape Town, South Africa.
  • Manuel Roveri and Francesco Trovò, “Making Intelligent the Embedded Systems through Cognitive Outlier and Fault Detection”, in Proc. 25th Italian Workshop on Neural Networks (WIRN 2015), May 20-22, 2015, Vietri Sul Mare, Italy
  • Buoncristiano, G. Mecca, E. Quintarelli, M. Roveri, D. Santoro and L. Tanca, “Exploratory Computing: What is there for the Database Researcher?” accepted for publication at the 23rd Italian Symposium on Advanced Database Systems (SEBD 2015), June 14-17, Gaeta, Italy.
  • C. Alippi, M. Roveri, F. Trovò, “Learning Causal Dependencies to Detect and Diagnose Faults in Sensor Networks”, in Proc. 2014 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014), Dec. 9-12, 2014, Orlando, Florida.
  • A. Antola, L. Mezzalira, M. Roveri, “GINGER: a minimizing-effects reprogramming paradigm for distributed sensor networks” accepted for presentation at 2014 IEEE International Symposium on Robotic and Sensors Environments (ROSE 2014), Oct. 16-18, Timisoara, Romania.
  • M. Roveri, F. Trovò, “An Ensemble of HMMs for Cognitive Fault Detection in Distributed Sensor Networks”, accepted for publication at the 10th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2014), Sep. 19-21, Rhodes, Greece.
  • G. Boracchi, M. Michaelides, M. Roveri, “A Cognitive Monitoring System for Contaminant Detection in Intelligent Buildings”, accepted for publication at the IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2014), July 6 – 11, 2014, Beijing, China.
  • G. Boracchi, M. Roveri, “Exploiting Self-Similarity for Change Detection”, accepted for publication at the IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2014), July 6 – 11, 2014, Beijing, China.
  • G. Boracchi, M. Roveri, “A Reconfigurable and Element-wise ICI-based Change-Detection Test for Streaming Data”, in Proc. IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (IEEE CIVEMSA 2014), May 5-7 2014, Ottawa, Ontario, Canada
  • S. Ntalampiras, M. Roveri, “Rock Collapse Forecasting: a Novel Approach Based on the Classification of Micro-Acoustic Signals in the Wavelet Domain”, in Proc. IEEE SENSORS Conference (IEEE SENSORS 2013), Baltimore, USA, Nov. 3-6, 2013.
  • S. Brienza, D. De Guglielmo, C. Alippi, G. Anastasi, M. Roveri, “A Learning-based Algorithm for Optimal MAC Parameters Setting in IEEE 802.15.4 Wireless Sensor Networks”, in Proc. ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks (ACM PE-WASUN 2013), Barcelona, Spain, Nov. 3-7, 2013.
  • G. Boracchi, V. Puig, M. Roveri, “A Hierarchy of Change-Point Methods for Estimating the Time Instant of Leakages in Water Distribution Networks”, in Proc. Workshop on Learning strategies and data processing in nonstationary environments (LEAPS 2013), Paphos, Cyprus, Sept. 30 – Oct. 2, 2013.
  • C. Alippi, S. Ntalampiras, M. Roveri, “Model ensemble for an effective on-line reconstruction of missing data in sensor networks”, in Proc. IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2013), Dallas, USA, Aug. 4-9, 2013.
  • J. Quevedo, C. Alippi, M.A. Cuguero, S. Ntalampiras, V. Puig, M. Roveri, D. Garcıa, “Temporal/Spatial Model-Based Fault Diagnosis vs. Hidden Markov Models Change Detection Method: Application to the Barcelona Water Network”, in Proc. Mediterranean Conference on Control and Automation (MED’13), Crete, Greece, June 25-28, 2013.
  • C. Alippi, G. Boracchi, V. Puig, M. Roveri, “An Ensemble Approach to Estimate the Fault-Time Instant”, in Proc. IEEE International Conference on Intelligent Control and Information Processing (IEEE ICICIP 2013), Beijing, China, June 9 – 11, 2013.
  • C. Alippi, R. Camplani, M. Roveri, G. Viscardi, “NetBrick: a high-performance, low-power hardware platform for wireless and hybrid sensor network”, in Proc. IEEE International Conference on Mobile Ad hoc and Sensor Systems (IEEE MASS 2012), Las Vegas, USA, Oct. 8-11, 2012
  • C. Alippi, M. Roveri, F. Trovò, “A ”learning from models” cognitive fault diagnosis system”, in Proc. ENNS International Conference on Artificial Neural Networks (ICANN 2012), Lausanne, Swizerland, Sept. 11-14, 2013.
  • C. Alippi, G. Boracchi, M. Roveri, “On-line reconstruction of missing data in sensor/actuator networks by exploiting temporal and spatial redundancy”, in Proc. IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2012), Brisbane, Australia, June 10-15, 2012.
  • C. Alippi, S. Ntalampiras, M. Roveri, “An HMM-based change detection method for intelligent embedded sensors”, in Proc. IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2012), Brisbane, Australia, June 10-15, 2012.
  • C. Alippi, G. Boracchi, M. Roveri, “Just-In-Time Ensemble of Classifiers”, in Proc. IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2012), Brisbane, Australia, June 10-15, 2012.
  • T. Mahmoodi, M. Roveri, “Identifying network failure via detecting changes in power profile”, in Proc. IEEE Pervasive Computing and Communications Workshops (IEEE PERCOM Workshops), pp. 758-763, Lugano, Switzerland, March 23, 2012.
  • C. Alippi, R. Camplani, M. Roveri, L. Vaccaro, “REEL: a real-time, computationally-efficient, reprogrammable framework for Wireless Sensor Networks“, in Proc. IEEE Sensors Conference (IEEE SENSORS 2011), Limerik, Ireland, Oct. 28-31, 2011.
  • C. Alippi, G. Boracchi, A. Marullo, M. Roveri, “A Step Towards the Prediction of a Rock Collapse: Analysis of Micro-Acoustic Bursts“, in Proc. IEEE Sensors Conference (IEEE SENSORS 2011), Limerik, Ireland, Oct. 28-31, 2011.
  • C. Alippi, G. Boracchi, M. Roveri, “An Effective Just-in-Time Adaptive Classifier for Gradual Concept Drifts”, in Proc. IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2011), San Jose, USA, July 31 – Aug. 5, 2011.
  • C. Alippi, G. Boracchi, M. Roveri, “A Hierarchical, Nonparametric Sequential Change-Detection Test“, in Proc. IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2011), San Jose, USA, July 31 – Aug. 5, 2011.
  • C. Alippi, G. Boracchi, M. Roveri, “A distributed Self-adaptive Nonparametric Change-Detection Test for Sensor/Actuator Networks”, in Proc. ENNS International Conference on Artificial Neural Networks (ICANN 2011), Espoo, Finland, June 14-17, 2011. Lecture Notes in Computer Science, Vol. 6792/2011, pp. 173-180, 2011.
  • C. Alippi, R. Camplani, C. Galperti, A. Marullo, M. Roveri, “An hybrid wireless-wired monitoring system for real-time rock collapse forecasting”, in Proc. IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2010), San Francisco, USA, Nov. 8-12, 2010.
  • C. Alippi, G. Boracchi, M. Roveri, “Adaptive Classifiers with ICI-based Adaptive Knowledge Base Management”, in Proc. ENNS International Conference on Artificial Neural Networks (ICANN 2010), Thessaloniki, Greece, Sept. 15-18, 2010.
  • C. Alippi, G. Boracchi, M. Roveri, “Change Detection Tests Using the ICI rule”, in Proc. IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2010), Barcelona, Spain, July 18-23, 2010.
  • C. Alippi, M. Roveri, “Virtual k-fold cross validation: an effective method for accuracy assessment”, in Proc. IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2010), Barcelona, Spain, July 18-23, 2010.
  • C. Alippi, G. Boracchi, M. Roveri, “Detecting Drops on Lens in Wireless Multimedia Sensor Network Nodes”, in Proc. IEEE International Workshop on RObotic and Sensors Environments (IEEE ROSE 2009), pp. 128-133, Lecco, Italy, Nov. 6-7, 2009.
  • C. Alippi, R. Camplani, M. Roveri, “A Virtual Machine for energy management in WSNs”, in Proc. IEEE International Workshop on RObotic and Sensors Environments (IEEE ROSE 2009), pp. 173-177, Lecco, Italy, Nov. 6-7, 2009.
  • C. Alippi, G. Boracchi, M. Roveri, “Just in time classifiers: managing the slow drift case”, in Proc. IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2009), Atlanta, USA, June 14-16, 2009.
  • C. Alippi, G. Baroni, A. Bersani, M. Roveri, “Unsupervised feature selection algorithms for Wireless Sensor Network”, in Proc. IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (IEEE CIMSA 2009), Hong Kong, China, May 11-13, 2009.
  • C. Alippi, R. Camplani, C. Galperti, M. Roveri, “Effective design of WSNs: from the lab to the real world”, in Proc. IEEE International Conference on Sensing Technology (IEEE ICST 2008), Tainan, Taiwan, Nov 30 – Dec 3, 2008.
  • C. Alippi, M. Fuhrman, M. Roveri, “k-NN classifiers: investigating the k = k(n) relationship”, in Proc. IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2008), Hong Kong, June 1-6, 2008.
  • C. Alippi, R. Camplani, C. Galperti, M. Roveri, L. Sportiello, “Towards a credible WSNs deployment: a monitoring framework based on an adaptive communication protocol and energy-harvesting availability”, in Proc. IEEE International Instrumentation and Measurement Technology Conference (IEEE I2MTC 2008), pp. 66-71, Victoria, Canada, May 12-15, 2008.
  • C. Alippi, R. Camplani, M. Roveri, “A Hierarchical LLC Routing Algorithm for WSNs”, in Proc. IEEE International Workshop on RObotic and Sensors Environments (IEEE ROSE 2007), pp. 1-6, Ontario, Canada, Oct. 12-13, 2007.
  • C. Alippi, G. Anastasi, C. Galperti, F. Mancini, M. Roveri, “Adaptive Sampling for Energy Conservation in Wireless Sensor Networks for Snow Monitoring Applications”, in Proc. IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2007), pp. 1 – 6, Pisa, Italy, Oct. 8-11, 2007.
  • C. Alippi, M. Roveri, “Adaptive Classifiers in Stationary Conditions”, in Proc. IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2007), pp. 1008 – 1013, Orlando, USA, Aug. 12-17, 2007.
  • C. Alippi, M. Roveri, “Just-in-Time Adaptive Classifiers in Non-Stationary Conditions”, in Proc. IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2007), pp. 1014 – 1019, Orlando, USA, Aug. 12-17, 2007.
  • C. Alippi, M. Roveri, “Reducing Computational Complexity in k-NN based Adaptive Classifiers”, in Proc. International Conference on Computational Intelligence for Measurement Systems and Applications (IEEE CIMSA 2007), pp. 68 – 71, Ostuni, Italia, June 27-29, 2007.
  • C. Alippi, G. Pelosi, M. Roveri, “Computational intelligence techniques to detect toxic gas presence”, in Proc. International Conference on Computational Intelligence for Measurement Systems and Applications (IEEE CIMSA 2006), pp. 40 – 44, La Coruna, Spain, July 12-14, 2006.
  • M. Gamassi, M. Roveri, F. Scotti, V. Piuri, “Genetic Techniques for Pattern Extraction in Particle Boards Images”, in Proc. International Conference on Computational Intelligence for Measurement Systems and Applications (IEEE CIMSA 2006), pp. 129 – 134, La Coruna, Spain, July 12-14, 2006.
  • C. Alippi, M. Roveri, “A computational intelligence-based criterion to detect non-stationarity trends”, in Proc. IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2006), pp. 5040-5044, Vancouver, Canada, July 16-21, 2006.
  • C. Alippi, M. Roveri, “An adaptive cusum-based test for signal change detection”, in Proc. IEEE International Symposium on Circuits and Systems (IEEE ISCAS 2006), pp. 5752 – 5755, Kos, Greece, May 21-24, 2006.
  • V. Piuri, M. Roveri, F. Scotti, “Visual Inspection of Particle Boards for Quality Assessment”, in Proc. IEEE International Conference on Image Processing (IEEE ICIP 2005), Vol. 3, pp. 521 – 524, Genova, Italy, Sept. 11-14, 2005.
  • C. Alippi, F. Pessina, M. Roveri, “An Adaptive System for Automatic Invoice-Documents Classification”, in Proc. IEEE International Conference on Image Processing (IEEE ICIP 2005), Vol. 2, pp. 526 – 529, Genova, Italy, Sept. 11-14, 2005.
  • V. Piuri, M. Roveri, F. Scotti, “Computational Intelligence in Industrial Quality Control”, in Proc. IEEE International Workshop on Intelligent Signal Processing (IEEE WISP 2005), pp. 4 – 9, Faro, Portugal, Sept. 1-3, 2005.
  • N. Bianchessi, V. Piuri, G. Righini, M. Roveri, G. Laneve, A. Zigrino, “An optimization approach to the planning of Earth observing satellites ”, in Proc. International Workshop on Planning and Scheduling for Space, pp. 207-212, Darmstadt, Germany, June 23-25, 2004.
  • V. Piuri, M. Roveri, “A Simulation Environment for Concatenated and Turbo Codes Analysis and Optimization”, in Proc. IEEE Midwest Symposium On Circuits and Systems (IEEE MWCAS 2003), Vol. 3, pp. 1210-1212, Cairo, Egypt, Dec. 27-30, 2003.

INVITED PRESENTATIONS AT WORKSHOP

  • C. Alippi, G. Boracchi, M. Roveri, “Adaptive Ensemble of Classifiers”, in Proc. The Learning Workshop, Snowbird, USA, April 3-6, 2012.
  • C. Alippi, M. Roveri, “Virtual k-fold cross validation: an effective method for accuracy assessment”, in Proc. The Learning Workshop, Snowbird, USA, April 6-9, 2010.
  • C. Alippi, M. Roveri, “k-NN Classifiers: Investigating The k=k(n) Relationship”, in Proc. The Learning Workshop, Snowbird, USA, April 1-4, 2008.
  • C. Alippi, M. Roveri, “Just-in-time Adaptive Classifiers”, in Proc. The Learning Workshop, Puerto Rico, March 19-22, 2007.
  • C. Alippi, M. Roveri, “Process Drifts and Non-stationarity detecting indexes”, in Proc. The Learning Workshop, Snowbird, USA, 2006.