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2020 – today
- 2022
[j75]Giuseppe Canonaco
, Manuel Roveri, Cesare Alippi, Fabrizio Podenzani, Antonio Bennardo, Marco Conti, Nicola Mancini:
A transfer-learning approach for corrosion prediction in pipeline infrastructures. Appl. Intell. 52(7): 7622-7637 (2022)- [j74]Daniele Grattarola, Lorenzo Livi, Cesare Alippi, Richard Wennberg, Taufik A. Valiante:
Seizure localisation with attention-based graph neural networks. Expert Syst. Appl. 203: 117330 (2022) - [j73]Luca Girolamo Butera, Alberto Ferrante, Mauro Jermini, Mauro Prevostini, Cesare Alippi:
Precise Agriculture: Effective Deep Learning Strategies to Detect Pest Insects. IEEE CAA J. Autom. Sinica 9(2): 246-258 (2022) - [j72]Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Graph Neural Networks With Convolutional ARMA Filters. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3496-3507 (2022) - [j71]Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling. IEEE Trans. Neural Networks Learn. Syst. 33(5): 2195-2207 (2022) - [i32]Daniele Zambon, Cesare Alippi:
AZ-whiteness test: a test for uncorrelated noise on spatio-temporal graphs. CoRR abs/2204.11135 (2022) - [i31]Ivan Marisca, Andrea Cini, Cesare Alippi:
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. CoRR abs/2205.13479 (2022) - [i30]Andrea Cini, Daniele Zambon, Cesare Alippi:
Sparse Graph Learning for Spatiotemporal Time Series. CoRR abs/2205.13492 (2022) - 2021
- [j70]Daniele Grattarola, Cesare Alippi:
Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes]. IEEE Comput. Intell. Mag. 16(1): 99-106 (2021) - [j69]Cesare Alippi:
2021 IEEE CIS Awards [Society Briefs]. IEEE Comput. Intell. Mag. 16(4): 10-13 (2021) - [j68]Carlo D'Eramo, Andrea Cini, Alessandro Nuara, Matteo Pirotta, Cesare Alippi, Jan Peters, Marcello Restelli:
Gaussian Approximation for Bias Reduction in Q-Learning. J. Mach. Learn. Res. 22: 277:1-277:51 (2021) - [j67]Simone Disabato, Manuel Roveri, Cesare Alippi:
Distributed Deep Convolutional Neural Networks for the Internet-of-Things. IEEE Trans. Computers 70(8): 1239-1252 (2021) - [j66]Bo Zhao, Derong Liu, Cesare Alippi:
Sliding-Mode Surface-Based Approximate Optimal Control for Uncertain Nonlinear Systems With Asymptotically Stable Critic Structure. IEEE Trans. Cybern. 51(6): 2858-2869 (2021) - [c88]Davide Rutigliano, Giacomo Boracchi, Pietro Invernizzi, Enrico Sozio, Cesare Alippi, Stefano Binetti:
Event-Detection Deep Neural Network for OTDR Trace Analysis. EANN 2021: 190-201 - [c87]Davide Bacciu, Filippo Maria Bianchi, Benjamin Paassen, Cesare Alippi:
Deep learning for graphs. ESANN 2021 - [c86]Giuseppe Canonaco, Manuel Roveri, Cesare Alippi, Fabrizio Podenzani, Antonio Bennardo, Marco Conti, Nicola Mancini:
A Machine-Learning Approach for the Prediction of Internal Corrosion in Pipeline Infrastructures. I2MTC 2021: 1-6 - [c85]Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer:
Graph Edit Networks. ICLR 2021 - [c84]Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Learning Graph Cellular Automata. NeurIPS 2021: 20983-20994 - [c83]Simone Disabato, Giuseppe Canonaco, Paul G. Flikkema, Manuel Roveri, Cesare Alippi:
Birdsong Detection at the Edge with Deep Learning. SMARTCOMP 2021: 9-16 - [i29]Andrea Cini, Ivan Marisca, Cesare Alippi:
Multivariate Time Series Imputation by Graph Neural Networks. CoRR abs/2108.00298 (2021) - [i28]Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi:
Understanding Pooling in Graph Neural Networks. CoRR abs/2110.05292 (2021) - [i27]Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Learning Graph Cellular Automata. CoRR abs/2110.14237 (2021) - [i26]Zhiwen Chen, Jiamin Xu, Cesare Alippi, Steven X. Ding, Yuri A. W. Shardt, Tao Peng, Chunhua Yang:
Graph neural network-based fault diagnosis: a review. CoRR abs/2111.08185 (2021) - [i25]Lorenzo Ferretti, Andrea Cini, Georgios Zacharopoulos, Cesare Alippi, Laura Pozzi:
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration. CoRR abs/2111.14767 (2021) - 2020
- [j65]Cesare Alippi:
2020 IEEE CIS Awards [Society Briefs]. IEEE Comput. Intell. Mag. 15(1): 14-16 (2020) - [j64]Haowei Lin, Bo Zhao, Derong Liu, Cesare Alippi:
Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks. IEEE CAA J. Autom. Sinica 7(4): 954-964 (2020) - [j63]Dongbin Zhao, Shukai Duan, Zheng Yan, Cesare Alippi:
Advances in deep neural information processing. Neurocomputing 408: 80-81 (2020) - [j62]Daniele Grattarola, Daniele Zambon, Lorenzo Livi, Cesare Alippi:
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds. IEEE Trans. Neural Networks Learn. Syst. 31(6): 1856-1869 (2020) - [c82]Giuseppe Canonaco, Manuel Roveri, Cesare Alippi, Fabrizio Podenzani, Antonio Bennardo, Marco Conti, Nicola Mancini:
Corrosion Prediction in Oil and Gas Pipelines: a Machine Learning Approach. I2MTC 2020: 1-6 - [c81]Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi:
Spectral Clustering with Graph Neural Networks for Graph Pooling. ICML 2020: 874-883 - [c80]Daniele Zambon, Cesare Alippi, Lorenzo Livi:
Graph Random Neural Features for Distance-Preserving Graph Representations. ICML 2020: 10968-10977 - [c79]Filippo Leveni, Luca Magri, Giacomo Boracchi, Cesare Alippi:
PIF: Anomaly detection via preference embedding. ICPR 2020: 8077-8084 - [c78]Andrea Cini, Slobodan Lukovic, Cesare Alippi:
Cluster-based Aggregate Load Forecasting with Deep Neural Networks. IJCNN 2020: 1-8 - [i24]Andrea Cini, Carlo D'Eramo, Jan Peters, Cesare Alippi:
Deep Reinforcement Learning with Weighted Q-Learning. CoRR abs/2003.09280 (2020) - [i23]Pietro Verzelli, Cesare Alippi, Lorenzo Livi, Peter Tiño:
Input representation in recurrent neural networks dynamics. CoRR abs/2003.10585 (2020) - [i22]Daniele Grattarola, Cesare Alippi:
Graph Neural Networks in TensorFlow and Keras with Spektral. CoRR abs/2006.12138 (2020) - [i21]Pietro Verzelli, Cesare Alippi, Lorenzo Livi:
Learn to Synchronize, Synchronize to Learn. CoRR abs/2010.02860 (2020)
2010 – 2019
- 2019
- [j61]Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Adversarial autoencoders with constant-curvature latent manifolds. Appl. Soft Comput. 81 (2019) - [j60]Daniele Zambon, Cesare Alippi, Lorenzo Livi:
Change-Point Methods on a Sequence of Graphs. IEEE Trans. Signal Process. 67(24): 6327-6341 (2019) - [c77]Pietro Verzelli, Cesare Alippi, Lorenzo Livi:
Hyper-spherical Reservoirs for Echo State Networks. ICANN (Workshop) 2019: 89-93 - [c76]Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Autoregressive Models for Sequences of Graphs. IJCNN 2019: 1-8 - [i20]Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Graph Neural Networks with convolutional ARMA filters. CoRR abs/1901.01343 (2019) - [i19]Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Autoregressive Models for Sequences of Graphs. CoRR abs/1903.07299 (2019) - [i18]Pietro Verzelli, Cesare Alippi, Lorenzo Livi:
Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere. CoRR abs/1903.11691 (2019) - [i17]Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi:
Mincut pooling in Graph Neural Networks. CoRR abs/1907.00481 (2019) - [i16]Alberto Gasparin, Slobodan Lukovic, Cesare Alippi:
Deep Learning for Time Series Forecasting: The Electric Load Case. CoRR abs/1907.09207 (2019) - [i15]Simone Disabato, Manuel Roveri, Cesare Alippi:
Distributed Deep Convolutional Neural Networks for the Internet-of-Things. CoRR abs/1908.01656 (2019) - [i14]Daniele Zambon, Cesare Alippi, Lorenzo Livi:
Distance-Preserving Graph Embeddings from Random Neural Features. CoRR abs/1909.03790 (2019) - [i13]Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling. CoRR abs/1910.11436 (2019) - 2018
- [j59]Jianhua Ma, Cesare Alippi, Laurence T. Yang, Huansheng Ning, Kevin I-Kai Wang:
Introduction to the IEEE CIS TC on Smart World (SWTC) [Society Briefs]. IEEE Comput. Intell. Mag. 13(1): 7-9 (2018) - [j58]Li Bu, Cesare Alippi, Dongbin Zhao:
A pdf-Free Change Detection Test Based on Density Difference Estimation. IEEE Trans. Neural Networks Learn. Syst. 29(2): 324-334 (2018) - [j57]Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi:
Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis. IEEE Trans. Neural Networks Learn. Syst. 29(2): 427-439 (2018) - [j56]Lorenzo Livi, Filippo Maria Bianchi, Cesare Alippi:
Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization. IEEE Trans. Neural Networks Learn. Syst. 29(3): 706-717 (2018) - [j55]Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen, Cesare Alippi, Gianluca Bontempi:
Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3784-3797 (2018) - [j54]Daniele Zambon, Cesare Alippi, Lorenzo Livi:
Concept Drift and Anomaly Detection in Graph Streams. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5592-5605 (2018) - [c75]Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi:
On the Interpretation and Characterization of Echo State Networks Dynamics: A Complex Systems Perspective. Advances in Data Analysis with Computational Intelligence Methods 2018: 143-167 - [c74]Francesco Regazzoni, Cesare Alippi, Ilia Polian:
Security: the dark side of approximate computing? ICCAD 2018: 44 - [c73]Daniele Zambon, Lorenzo Livi, Cesare Alippi:
Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. IJCNN 2018: 1-7 - [c72]Cesare Alippi, Simone Disabato, Manuel Roveri:
Moving convolutional neural networks to embedded systems: the alexnet and VGG-16 case. IPSN 2018: 212-223 - [c71]Pietro Verzelli, Lorenzo Livi, Cesare Alippi:
A characterization of the Edge of Criticality in Binary echo State Networks. MLSP 2018: 1-6 - [p3]Cesare Alippi, Wen Qi, Manuel Roveri:
An Improved Hilbert-Huang Transform for Non-linear and Time-Variant Signals. Multidisciplinary Approaches to Neural Computing 2018: 109-117 - [i12]Daniele Zambon, Lorenzo Livi, Cesare Alippi:
Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. CoRR abs/1805.01360 (2018) - [i11]Daniele Grattarola, Daniele Zambon, Cesare Alippi, Lorenzo Livi:
Learning Graph Embeddings on Constant-Curvature Manifolds for Change Detection in Graph Streams. CoRR abs/1805.06299 (2018) - [i10]Daniele Zambon, Cesare Alippi, Lorenzo Livi:
Change Point Methods on a Sequence of Graphs. CoRR abs/1805.07113 (2018) - [i9]Pietro Verzelli, Lorenzo Livi, Cesare Alippi:
A characterization of the Edge of Criticality in Binary Echo State Networks. CoRR abs/1810.01742 (2018) - [i8]Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Adversarial Autoencoders with Constant-Curvature Latent Manifolds. CoRR abs/1812.04314 (2018) - [i7]Stjepan Picek, Annelie Heuser, Cesare Alippi, Francesco Regazzoni:
When Theory Meets Practice: A Framework for Robust Profiled Side-channel Analysis. IACR Cryptol. ePrint Arch. 2018: 1123 (2018) - 2017
- [j53]Cesare Alippi, Manuel Roveri:
The (Not) Far-Away Path to Smart Cyber-Physical Systems: An Information-Centric Framework. Computer 50(4): 38-47 (2017) - [j52]Sen Bong Gee, Kay Chen Tan, Cesare Alippi:
Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach. IEEE Trans. Cybern. 47(12): 4223-4234 (2017) - [j51]Cesare Alippi, Stavros Ntalampiras, Manuel Roveri:
Model-Free Fault Detection and Isolation in Large-Scale Cyber-Physical Systems. IEEE Trans. Emerg. Top. Comput. Intell. 1(1): 61-71 (2017) - [j50]Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
Hierarchical Change-Detection Tests. IEEE Trans. Neural Networks Learn. Syst. 28(2): 246-258 (2017) - [j49]Lorenzo Livi, Cesare Alippi:
One-Class Classifiers Based on Entropic Spanning Graphs. IEEE Trans. Neural Networks Learn. Syst. 28(12): 2846-2858 (2017) - [j48]Li Bu, Dongbin Zhao, Cesare Alippi:
An Incremental Change Detection Test Based on Density Difference Estimation. IEEE Trans. Syst. Man Cybern. Syst. 47(10): 2714-2726 (2017) - [c70]Cesare Alippi, Wen Qi, Manuel Roveri:
Learning in Nonstationary Environments: A Hybrid Approach. ICAISC (2) 2017: 703-714 - [c69]Filippo Maria Bianchi, Lorenzo Livi, Robert Jenssen, Cesare Alippi:
Critical echo state network dynamics by means of Fisher information maximization. IJCNN 2017: 852-858 - [c68]Cesare Alippi, Viviana D'Alto, Mirko Falchetto, Danilo Pau, Manuel Roveri:
Detecting changes at the sensor level in cyber-physical systems: Methodology and technological implementation. IJCNN 2017: 1780-1786 - [c67]Cesare Alippi, Roberto Ambrosini, Violetta Longoni, Dario Cogliati, Manuel Roveri:
A lightweight and energy-efficient Internet-of-birds tracking system. PerCom 2017: 160-169 - [c66]Daniele Zambon, Lorenzo Livi, Cesare Alippi:
Detecting changes in sequences of attributed graphs. SSCI 2017: 1-7 - [c65]Ilaria Scarabottolo, Cesare Alippi, Manuel Roveri:
A spectrum-based adaptive sampling algorithm for smart sensing. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-8 - [i6]Daniele Zambon, Cesare Alippi, Lorenzo Livi:
Concept Drift and Anomaly Detection in Graph Streams. CoRR abs/1706.06941 (2017) - 2016
- [j47]Cesare Alippi:
A unique timely moment for embedding intelligence in applications. CAAI Trans. Intell. Technol. 1(1): 1-3 (2016) - [j46]Cesare Alippi, Giacomo Boracchi, Brendt Wohlberg:
Model Complexity, Regularization, and Sparsity [Guest Editorial]. IEEE Comput. Intell. Mag. 11(4): 12-13 (2016) - [j45]Cesare Alippi, Romano Fantacci, Dania Marabissi, Manuel Roveri:
A Cloud to the Ground: The New Frontier of Intelligent and Autonomous Networks of Things. IEEE Commun. Mag. 54(12): 14-20 (2016) - [j44]Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
A Reprogrammable and Intelligent Monitoring System for Rock-Collapse Forecasting. IEEE Syst. J. 10(2): 733-744 (2016) - [j43]Cesare Alippi, Maurizio Bocca, Giacomo Boracchi, Neal Patwari, Manuel Roveri:
RTI Goes Wild: Radio Tomographic Imaging for Outdoor People Detection and Localization. IEEE Trans. Mob. Comput. 15(10): 2585-2598 (2016) - [c64]Cesare Alippi, Giacomo Boracchi, Diego Carrera, Manuel Roveri:
Change Detection in Multivariate Datastreams: Likelihood and Detectability Loss. IJCAI 2016: 1368-1374 - [c63]Cesare Alippi, Stavros Ntalampiras, Manuel Roveri:
Online model-free sensor fault identification and dictionary learning in Cyber-Physical Systems. IJCNN 2016: 756-762 - [c62]Lorenzo Livi, Cesare Alippi:
One-class classification through mutual information minimization. IJCNN 2016: 3314-3321 - [c61]Li Bu, Cesare Alippi, Dongbin Zhao:
Ensemble LSDD-based change detection tests. IJCNN 2016: 4064-4069 - [c60]Cesare Alippi, Stavros Ntalampiras, Manuel Roveri:
Designing HMMs in the Age of Big Data. INNS Conference on Big Data 2016: 120-130 - [c59]Cesare Alippi, Giacomo Boracchi, Diego Carrera:
CCM: Controlling the Change Magnitude in High Dimensional Data. INNS Conference on Big Data 2016: 216-225 - [i5]Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi:
Investigating echo state networks dynamics by means of recurrence analysis. CoRR abs/1601.07381 (2016) - [i4]Lorenzo Livi, Filippo Maria Bianchi, Cesare Alippi:
Determination of the edge of criticality in echo state networks through Fisher information maximization. CoRR abs/1603.03685 (2016) - [i3]Lorenzo Livi, Cesare Alippi:
One-class classifiers based on entropic spanning graphs. CoRR abs/1604.02477 (2016) - [i2]Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi, Robert Jenssen:
Multiplex visibility graphs to investigate recurrent neural networks dynamics. CoRR abs/1609.03068 (2016) - 2015
- [j42]Haibo He, Cesare Alippi:
Conference Report for 2014 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) [Conference Reports]. IEEE Comput. Intell. Mag. 10(2): 10-12 (2015) - [j41]Gregory Ditzler, Manuel Roveri, Cesare Alippi, Robi Polikar:
Learning in Nonstationary Environments: A Survey. IEEE Comput. Intell. Mag. 10(4): 12-25 (2015) - [c58]Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen, Cesare Alippi, Gianluca Bontempi:
Credit card fraud detection and concept-drift adaptation with delayed supervised information. IJCNN 2015: 1-8 - [c57]Li Bu, Dongbin Zhao, Cesare Alippi:
A Pdf-Free Change Detection Test for Data Streams Monitoring. SSCI 2015: 542-547 - [p2]Cesare Alippi, Romolo Camplani, Antonio Marullo, Manuel Roveri:
Algorithms and Tools for Intelligent Monitoring of Critical Infrastructure Systems. Intelligent Monitoring, Control, and Security of Critical Infrastructure Systems 2015: 167-184 - 2014
- [j40]Dongbin Zhao, Zhaohui Hu, Zhongpu Xia, Cesare Alippi, Yuanheng Zhu, Ding Wang:
Full-range adaptive cruise control based on supervised adaptive dynamic programming. Neurocomputing 125: 57-67 (2014) - [j39]Bin Wang, Dongbin Zhao, Cesare Alippi, Derong Liu:
Dual Heuristic dynamic Programming for nonlinear discrete-time uncertain systems with state delay. Neurocomputing 134: 222-229 (2014) - [j38]Robi Polikar, Cesare Alippi:
Guest Editorial Learning in Nonstationary and Evolving Environments. IEEE Trans. Neural Networks Learn. Syst. 25(1): 9-11 (2014) - [j37]Cesare Alippi, Manuel Roveri, Francesco Trovò:
A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks. IEEE Trans. Neural Networks Learn. Syst. 25(6): 1021-1032 (2014) - [j36]Cesare Alippi, Derong Liu, Dongbin Zhao, Li Bu:
Detecting and Reacting to Changes in Sensing Units: The Active Classifier Case. IEEE Trans. Syst. Man Cybern. Syst. 44(3): 353-362 (2014) - [c56]Cesare Alippi, Giacomo Boracchi, Brendt Wohlberg:
Change detection in streams of signals with sparse representations. ICASSP 2014: 5252-5256 - [c55]Cesare Alippi, Manuel Roveri, Francesco Trovò:
Learning causal dependencies to etect and diagnose faults in sensor networks. IES 2014: 34-41 - [c54]Cesare Alippi:
Learning in Non-stationary Environments. IJCCI (ECTA) 2014: IS-11 - [c53]Cesare Alippi, Andrey Bogdanov, Francesco Regazzoni:
Lightweight cryptography for constrained devices. ISIC 2014: 144-147 - [i1]Cesare Alippi, Maurizio Bocca, Giacomo Boracchi, Neal Patwari, Manuel Roveri:
RTI Goes Wild: Radio Tomographic Imaging for Outdoor People Detection and Localization. CoRR abs/1407.8509 (2014) - 2013
- [j35]Cesare Alippi:
IEEE CIS Education Activities Vision Statement [Society Briefs]. IEEE Comput. Intell. Mag. 8(1): 6 (2013) - [j34]Dongbin Zhao, Cesare Alippi, Derong Liu, Huaguang Zhang:
Special issue on intelligent control and information processing. Soft Comput. 17(11): 1967-1969 (2013) - [j33]Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
Ensembles of change-point methods to estimate the change point in residual sequences. Soft Comput. 17(11): 1971-1981 (2013) - [j32]Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
Just-In-Time Classifiers for Recurrent Concepts. IEEE Trans. Neural Networks Learn. Syst. 24(4): 620-634 (2013) - [j31]Cesare Alippi, Stavros Ntalampiras, Manuel Roveri:
A Cognitive Fault Diagnosis System for Distributed Sensor Networks. IEEE Trans. Neural Networks Learn. Syst. 24(8): 1213-1226 (2013) - [j30]Cesare Alippi, Romolo Camplani, Cristian Galperti, Antonio Marullo, Manuel Roveri:
A high-frequency sampling monitoring system for environmental and structural applications. ACM Trans. Sens. Networks 9(4): 41:1-41:32 (2013) - [c52]Cesare Alippi, Li Bu, Dongbin Zhao:
A prior-free encode-decode change detection test to inspect datastreams for concept drift. IJCNN 2013: 1-6 - [c51]Cesare Alippi, Stavros Ntalampiras, Manuel Roveri:
Model ensemble for an effective on-line reconstruction of missing data in sensor networks. IJCNN 2013: 1-6 - [c50]Joseba Quevedo, Cesare Alippi, Miquel A. Cugueró, Stavros Ntalampiras, Vicenç Puig, Manuel Roveri, Diego García:
Temporal/spatial model-based fault diagnosis vs. Hidden Markov models change detection method: Application to the Barcelona water network. MED 2013: 394-400 - [c49]Simone Brienza, Domenico De Guglielmo, Cesare Alippi, Giuseppe Anastasi, Manuel Roveri:
A learning-based algorithm for optimal mac parameters setting in IEEE 802.15.4 wireless sensor networks. PE-WASUN 2013: 73-80 - [e7]