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2020 – today
- 2024
[j86]Luca Butera, Andrea Cini, Alberto Ferrante, Cesare Alippi:
Object-Centric Relational Representations for Image Generation. Trans. Mach. Learn. Res. 2024 (2024)- [j85]Daniele Grattarola
, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi:
Understanding Pooling in Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2708-2718 (2024) - [j84]Zhigang Liu, Cesare Alippi, Hongtian Chen, Derong Liu:
Guest Editorial: Special Issue on Explainable Representation Learning-Based Intelligent Inspection and Maintenance of Complex Systems. IEEE Trans. Neural Networks Learn. Syst. 35(5): 5819-5823 (2024) - [j83]Hongtian Chen, Zhigang Liu, Cesare Alippi, Biao Huang, Derong Liu:
Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6166-6179 (2024) - [c105]Giovanni de Felice, Andrea Cini, Daniele Zambon, Vladimir V. Gusev, Cesare Alippi:
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations. ICLR 2024 - [c104]Andrea Cini, Danilo P. Mandic, Cesare Alippi:
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting. ICML 2024 - [c103]Ivan Marisca, Cesare Alippi, Filippo Maria Bianchi:
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling. ICML 2024 - [c102]Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi:
Temporal Graph ODEs for Irregularly-Sampled Time Series. IJCAI 2024: 4025-4034 - [c101]Nicolò Navarin, Paolo Frazzetto, Luca Pasa, Pietro Verzelli, Filippo Visentin, Alessandro Sperduti, Cesare Alippi:
Physics-Informed Graph Neural Cellular Automata: an Application to Compartmental Modelling. IJCNN 2024: 1-9 - [i47]Ivan Marisca, Cesare Alippi, Filippo Maria Bianchi:
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling. CoRR abs/2402.10634 (2024) - [i46]Giovanni de Felice, Andrea Cini, Daniele Zambon, Vladimir V. Gusev, Cesare Alippi:
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations. CoRR abs/2402.12598 (2024) - [i45]Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi:
Temporal Graph ODEs for Irregularly-Sampled Time Series. CoRR abs/2404.19508 (2024) - [i44]Alessandro Manenti, Daniele Zambon, Cesare Alippi:
Learning Latent Graph Structures and their Uncertainty. CoRR abs/2405.19933 (2024) - 2023
- [j82]Andrea Cini, Daniele Zambon, Cesare Alippi:
Sparse Graph Learning from Spatiotemporal Time Series. J. Mach. Learn. Res. 24: 242:1-242:36 (2023) - [j81]Lorenzo Ferretti, Andrea Cini, Georgios Zacharopoulos, Cesare Alippi, Laura Pozzi:
Graph Neural Networks for High-Level Synthesis Design Space Exploration. ACM Trans. Design Autom. Electr. Syst. 28(2): 25:1-25:20 (2023) - [c100]Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi:
Scalable Spatiotemporal Graph Neural Networks. AAAI 2023: 7218-7226 - [c99]Antonino Maria Rizzo, Luca Magri, Pietro Invernizzi, Enrico Sozio, Gabriele Aquaro, Stefano Binetti, Cesare Alippi, Giacomo Boracchi:
Event Detection in Optical Signals via Domain Adaptation. EUSIPCO 2023: 1435-1439 - [c98]Antonino Maria Rizzo, Luca Magri, Pietro Invernizzi, Enrico Sozio, Stefano Piciaccia, Alberto Tanzi, Stefano Binetti, Cesare Alippi, Giacomo Boracchi:
Anomaly Detection in Optical Spectra VIA Joint Optimization. ICASSP 2023: 1-5 - [c97]Filippo Leveni, Luca Magri, Cesare Alippi, Giacomo Boracchi:
Hashing for Structure-Based Anomaly Detection. ICIAP (2) 2023: 25-36 - [c96]Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi:
Taming Local Effects in Graph-based Spatiotemporal Forecasting. NeurIPS 2023 - [i43]Daniele Zambon, Andrea Cini, Lorenzo Livi, Cesare Alippi:
Graph state-space models. CoRR abs/2301.01741 (2023) - [i42]Daniele Zambon, Cesare Alippi:
Where and How to Improve Graph-based Spatio-temporal Predictors. CoRR abs/2302.01701 (2023) - [i41]Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi:
Taming Local Effects in Graph-based Spatiotemporal Forecasting. CoRR abs/2302.04071 (2023) - [i40]Cesare Alippi, Daniele Zambon:
Graph Kalman Filters. CoRR abs/2303.12021 (2023) - [i39]Luca Butera, Andrea Cini, Alberto Ferrante, Cesare Alippi:
Relational Inductive Biases for Object-Centric Image Generation. CoRR abs/2303.14681 (2023) - [i38]Tommaso Marzi, Arshjot Khehra, Andrea Cini, Cesare Alippi:
Feudal Graph Reinforcement Learning. CoRR abs/2304.05099 (2023) - [i37]Andrea Cini, Danilo P. Mandic, Cesare Alippi:
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting. CoRR abs/2305.19183 (2023) - [i36]Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan:
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. CoRR abs/2307.03759 (2023) - [i35]Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi:
Graph Deep Learning for Time Series Forecasting. CoRR abs/2310.15978 (2023) - 2022
- [j80]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) - [j79]Alberto Gasparin, Slobodan Lukovic, Cesare Alippi:
Deep learning for time series forecasting: The electric load case. CAAI Trans. Intell. Technol. 7(1): 1-25 (2022) - [j78]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) - [j77]Luca 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) - [j76]Antonino Maria Rizzo, Luca Magri, Davide Rutigliano, Pietro Invernizzi, Enrico Sozio, Cesare Alippi, Stefano Binetti, Giacomo Boracchi:
Known and unknown event detection in OTDR traces by deep learning networks. Neural Comput. Appl. 34(22): 19655-19673 (2022) - [j75]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) - [j74]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) - [j73]Pietro Verzelli, Cesare Alippi, Lorenzo Livi, Peter Tino:
Input-to-State Representation in Linear Reservoirs Dynamics. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4598-4609 (2022) - [c95]Andrea Cini, Ivan Marisca, Cesare Alippi:
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks. ICLR 2022 - [c94]Simone Eandi, Andrea Cini, Slobodan Lukovic, Cesare Alippi:
Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting. IJCNN 2022: 1-8 - [c93]Matteo Munari, Luca Pasa, Daniele Zambon, Cesare Alippi, Nicolò Navarin:
Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning. IJCNN 2022: 1-8 - [c92]Daniele Zambon, Lorenzo Livi, Cesare Alippi:
Graph iForest: Isolation of anomalous and outlier graphs. IJCNN 2022: 1-8 - [c91]Ivan Marisca, Andrea Cini, Cesare Alippi:
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. NeurIPS 2022 - [c90]Daniele Zambon, Cesare Alippi:
AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs. NeurIPS 2022 - [c89]Kleanthis Malialis, Manuel Roveri, Cesare Alippi, Christos G. Panayiotou, Marios M. Polycarpou:
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification. SSCI 2022: 1021-1027 - [i34]Daniele Zambon, Cesare Alippi:
AZ-whiteness test: a test for uncorrelated noise on spatio-temporal graphs. CoRR abs/2204.11135 (2022) - [i33]Ivan Marisca, Andrea Cini, Cesare Alippi:
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. CoRR abs/2205.13479 (2022) - [i32]Andrea Cini, Daniele Zambon, Cesare Alippi:
Sparse Graph Learning for Spatiotemporal Time Series. CoRR abs/2205.13492 (2022) - [i31]Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi:
Scalable Spatiotemporal Graph Neural Networks. CoRR abs/2209.06520 (2022) - [i30]Kleanthis Malialis, Manuel Roveri, Cesare Alippi, Christos G. Panayiotou, Marios M. Polycarpou:
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification. CoRR abs/2210.04949 (2022) - 2021
- [j72]Daniele Grattarola, Cesare Alippi:
Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes]. IEEE Comput. Intell. Mag. 16(1): 99-106 (2021) - [j71]Cesare Alippi:
2021 IEEE CIS Awards [Society Briefs]. IEEE Comput. Intell. Mag. 16(4): 10-13 (2021) - [j70]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) - [j69]Simone Disabato, Manuel Roveri, Cesare Alippi:
Distributed Deep Convolutional Neural Networks for the Internet-of-Things. IEEE Trans. Computers 70(8): 1239-1252 (2021) - [j68]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
- [j67]Cesare Alippi:
2020 IEEE CIS Awards [Society Briefs]. IEEE Comput. Intell. Mag. 15(1): 14-16 (2020) - [j66]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) - [j65]Dongbin Zhao, Shukai Duan, Zheng Yan, Cesare Alippi:
Advances in deep neural information processing. Neurocomputing 408: 80-81 (2020) - [j64]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
- [j63]Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Adversarial autoencoders with constant-curvature latent manifolds. Appl. Soft Comput. 81 (2019) - [j62]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
- [j61]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) - [j60]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) - [j59]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) - [j58]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) - [j57]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) - [j56]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
- [j55]Cesare Alippi, Manuel Roveri:
The (Not) Far-Away Path to Smart Cyber-Physical Systems: An Information-Centric Framework. Computer 50(4): 38-47 (2017) - [j54]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) - [j53]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) - [j52]Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
Hierarchical Change-Detection Tests. IEEE Trans. Neural Networks Learn. Syst. 28(2): 246-258 (2017) - [j51]Lorenzo Livi, Cesare Alippi:
One-Class Classifiers Based on Entropic Spanning Graphs. IEEE Trans. Neural Networks Learn. Syst. 28(12): 2846-2858 (2017) - [j50]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
- [j49]Cesare Alippi:
A unique timely moment for embedding intelligence in applications. CAAI Trans. Intell. Technol. 1(1): 1-3 (2016) - [j48]Cesare Alippi, Giacomo Boracchi, Brendt Wohlberg:
Model Complexity, Regularization, and Sparsity [Guest Editorial]. IEEE Comput. Intell. Mag. 11(4): 12-13 (2016) - [j47]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) - [j46]Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
A Reprogrammable and Intelligent Monitoring System for Rock-Collapse Forecasting. IEEE Syst. J. 10(2): 733-744 (2016) - [j45]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
- [j44]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) - [j43]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
- [j42]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) - [j41]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) - [j40]Robi Polikar, Cesare Alippi:
Guest Editorial Learning in Nonstationary and Evolving Environments. IEEE Trans. Neural Networks Learn. Syst. 25(1): 9-11 (2014) - [j39]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) - [j38]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
- [j37]Cesare Alippi:
IEEE CIS Education Activities Vision Statement [Society Briefs]. IEEE Comput. Intell. Mag. 8(1): 6 (2013) - [j36]Dongbin Zhao, Cesare Alippi, Derong Liu, Huaguang Zhang:
Special issue on intelligent control and information processing. Soft Comput. 17(11): 1967-1969 (2013) - [j35]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) - [j34]Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
Just-In-Time Classifiers for Recurrent Concepts. IEEE Trans. Neural Networks Learn. Syst. 24(4): 620-634 (2013) - [j33]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) - [j32]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 Àngel 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]Derong Liu, Cesare Alippi, Dongbin Zhao, Amir Hussain:
Advances in Brain Inspired Cognitive Systems - 6th International Conference, BICS 2013, Beijing, China, June 9-11, 2013. Proceedings. Lecture Notes in Computer Science 7888, Springer 2013, ISBN 978-3-642-38785-2 [contents] - 2012
- [j31]Cesare Alippi:
2013 IEEE CIS Awards [Society Briefs]. IEEE Comput. Intell. Mag. 7(4): 4-9 (2012) - [j30]Huaguang Zhang, Cesare Alippi, Dongbin Zhao:
Data-driven optimal algorithms and their applications to pattern recognition. Neurocomputing 78(1): 1-2 (2012) - [j29]Jean-Philippe Thivierge, Ali A. Minai, Hava T. Siegelmann, Cesare Alippi, Michael Georgiopoulos:
A year of neural network research: Special Issue on the 2011 International Joint Conference on Neural Networks. Neural Networks 32: 1-2 (2012) - [c48]Cesare Alippi, Manuel Roveri, Francesco Trovò:
A "Learning from Models" Cognitive Fault Diagnosis System. ICANN (2) 2012: 305-313 - [c47]Cesare Alippi, Li Bu, Dongbin Zhao:
SVM-Based Just-in-Time Adaptive Classifiers. ICONIP (2) 2012: 664-672 - [c46]Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
Just-in-time ensemble of classifiers. IJCNN 2012: 1-8 - [c45]Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
On-line reconstruction of missing data in sensor/actuator networks by exploiting temporal and spatial redundancy. IJCNN 2012: 1-8 - [c44]Cesare Alippi, Stavros Ntalampiras, Manuel Roveri:
An HMM-based change detection method for intelligent embedded sensors. IJCNN 2012: 1-7 - [c43]Cesare Alippi, Romolo Camplani, Manuel Roveri, Gabriele Viscardi:
Netbrick: A high-performance, low-power hardware platform for wireless and hybrid sensor networks. MASS 2012: 111-117 - [p1]Cesare Alippi, Giacomo Boracchi, Romolo Camplani, Manuel Roveri:
Wireless Sensor Networks for Monitoring Vineyards. ArtDeco 2012: 295-310 - [e6]Jing Liu, Cesare Alippi, Bernadette Bouchon-Meunier, Garrison W. Greenwood, Hussein A. Abbass:
Advances in Computational Intelligence - IEEE World Congress on Computational Intelligence, WCCI 2012, Brisbane, Australia, June 10-15, 2012. Plenary/Invited Lectures. Lecture Notes in Computer Science 7311, Springer 2012, ISBN 978-3-642-30686-0 [contents] - 2011
- [j28]Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
A just-in-time adaptive classification system based on the intersection of confidence intervals rule. Neural Networks 24(8): 791-800 (2011) - [j27]Cesare Alippi, Pierre Payeur:
Editorial - TIM Special Section on the IEEE International Workshop on Robotic and Sensors Environments (ROSE 2009). IEEE Trans. Instrum. Meas. 60(2): 334-335 (2011) - [c42]Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
A Distributed Self-adaptive Nonparametric Change-Detection Test for Sensor/Actuator Networks. ICANN (2) 2011: 173-180 - [c41]Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
An effective just-in-time adaptive classifier for gradual concept drifts. IJCNN 2011: 1675-1682 - [c40]Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
A hierarchical, nonparametric, sequential change-detection test. IJCNN 2011: 2889-2896 - [e5]Derong Liu, Huaguang Zhang, Marios M. Polycarpou, Cesare Alippi, Haibo He:
Advances in Neural Networks - ISNN 2011 - 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29-June 1, 2011, Proceedings, Part I. Lecture Notes in Computer Science 6675, Springer 2011, ISBN 978-3-642-21104-1 [contents] - [e4]Derong Liu, Huaguang Zhang, Marios M. Polycarpou, Cesare Alippi, Haibo He:
Advances in Neural Networks - ISNN 2011 - 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29-June 1, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6676, Springer 2011, ISBN 978-3-642-21089-1 [contents] - [e3]Derong Liu, Huaguang Zhang, Marios M. Polycarpou, Cesare Alippi, Haibo He:
Advances in Neural Networks - ISNN 2011 - 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29-June 1, 2011, Proceedings, Part III. Lecture Notes in Computer Science 6677, Springer 2011, ISBN 978-3-642-21110-2 [contents] - 2010
- [j26]Cesare Alippi, Giuseppe Anastasi, Mario Di Francesco, Manuel Roveri:
An Adaptive Sampling Algorithm for Effective Energy Management in Wireless Sensor Networks With Energy-Hungry Sensors. IEEE Trans. Instrum. Meas. 59(2): 335-344 (2010) - [j25]Cesare Alippi, Giacomo Boracchi, Romolo Camplani, Manuel Roveri:
Detecting External Disturbances on the Camera Lens in Wireless Multimedia Sensor Networks. IEEE Trans. Instrum. Meas. 59(11): 2982-2990 (2010) - [c39]Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
Adaptive Classifiers with ICI-Based Adaptive Knowledge Base Management. ICANN (2) 2010: 458-467 - [c38]Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
Change detection tests using the ICI rule. IJCNN 2010: 1-7 - [c37]Cesare Alippi, Manuel Roveri:
Virtual k-fold cross validation: An effective method for accuracy assessment. IJCNN 2010: 1-6 - [c36]Cesare Alippi, Romolo Camplani, Cristian Galperti, Antonio Marullo, Manuel Roveri:
An hybrid wireless-wired monitoring system for real-time rock collapse forecasting. MASS 2010: 224-231 - [c35]Cesare Alippi, Luigi Sportiello:
Robust hybrid wired-wireless sensor networks. PerCom Workshops 2010: 462-467
2000 – 2009
- 2009
- [j24]Cesare Alippi, Romolo Camplani, Manuel Roveri:
An Adaptive LLC-Based and Hierarchical Power-Aware Routing Algorithm. IEEE Trans. Instrum. Meas. 58(9): 3347-3357 (2009) - [c34]Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
Just in time classifiers: Managing the slow drift case. IJCNN 2009: 114-120 - [c33]Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
Detecting drops on lens in wireless multimedia sensor network nodes. ROSE 2009: 128-133 - [c32]Cesare Alippi, Romolo Camplani, Manuel Roveri:
A virtual machine for energy management in WSNs. ROSE 2009: 173-177 - [e2]Cesare Alippi, Marios M. Polycarpou, Christos G. Panayiotou, Georgios Ellinas:
Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I. Lecture Notes in Computer Science 5768, Springer 2009, ISBN 978-3-642-04273-7 [contents] - [e1]Cesare Alippi, Marios M. Polycarpou, Christos G. Panayiotou, Georgios Ellinas:
Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part II. Lecture Notes in Computer Science 5769, Springer 2009, ISBN 978-3-642-04276-8 [contents] - 2008
- [j23]Cesare Alippi, Cristian Galperti:
An Adaptive System for Optimal Solar Energy Harvesting in Wireless Sensor Network Nodes. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(6): 1742-1750 (2008) - [j22]Cesare Alippi, Manuel Roveri:
Just-in-Time Adaptive Classifiers - Part I: Detecting Nonstationary Changes. IEEE Trans. Neural Networks 19(7): 1145-1153 (2008) - [j21]Cesare Alippi, Manuel Roveri:
Just-in-Time Adaptive Classifiers - Part II: Designing the Classifier. IEEE Trans. Neural Networks 19(12): 2053-2064 (2008) - [c31]Cesare Alippi, M. Fuhrman, Manuel Roveri:
k-NN classifiers: Investigating the k=k(n) relationship. IJCNN 2008: 3676-3680 - 2007
- [c30]Cesare Alippi, Manuel Roveri:
Adaptive Classifiers in Stationary Conditions. IJCNN 2007: 1008-1013 - [c29]Cesare Alippi, Manuel Roveri:
Just-in-time Adaptive Classifiers in Non-Stationary Conditions. IJCNN 2007: 1014-1019 - [c28]Cesare Alippi, Giuseppe Anastasi, Cristian Galperti, Francesca Mancini, Manuel Roveri:
Adaptive Sampling for Energy Conservation in Wireless Sensor Networks for Snow Monitoring Applications. MASS 2007: 1-6 - [c27]Cesare Alippi, Romolo Camplani, Cristian Galperti:
Lossless Compression Techniques in Wireless Sensor Networks: Monitoring Microacoustic Emissions. ROSE 2007: 29-33 - [c26]Cesare Alippi, Romolo Camplani, Manuel Roveri:
A Hierarchical LLC Routing Algorithm for WSNs. ROSE 2007: 74-79 - 2006
- [j20]Cesare Alippi, Fabio Scotti:
Exploiting application locality to design low-complexity, highly performing, and power-aware embedded classifiers. IEEE Trans. Neural Networks 17(3): 745-754 (2006) - [j19]Cesare Alippi, Pietro Braione:
Classification methods and inductive learning rules: what we may learn from theory. IEEE Trans. Syst. Man Cybern. Syst. 36(5): 649-655 (2006) - [c25]Carlo Morelli, Monica Nicoli, Vittorio Rampa, Umberto Spagnolini, Cesare Alippi:
Particle Filters for Rss-Based Localization in Wireless Sensor Networks: An Experimental Study. ICASSP (4) 2006: 957-960 - [c24]Cesare Alippi, Manuel Roveri:
A computational intelligence-based criterion to detect non-stationarity trends. IJCNN 2006: 5040-5044 - [c23]Cesare Alippi, D. Cogliati, Giovanni Vanini:
A statistical approach to localize passive RFIDs. ISCAS 2006 - [c22]Cesare Alippi, Cristian Galperti:
An adaptive maximum power point tracker for maximising solar cell efficiency in wireless sensor nodes. ISCAS 2006 - [c21]Cesare Alippi, Manuel Roveri:
An adaptive CUSUM-based test for signal change detection. ISCAS 2006 - [c20]Cesare Alippi, Giovanni Vanini:
Application-based routing optimization in static/semi-staticWireless Sensor Networks. PerCom 2006: 47-51 - [c19]Cesare Alippi, Giovanni Vanini:
A RSSI-based and calibrated centralized localization technique forWireless Sensor Networks. PerCom Workshops 2006: 301-305 - 2005
- [j18]Cesare Alippi, Marcantonio Catelani, Ada Fort, Marco Mugnaini:
Automated selection of test frequencies for fault diagnosis in analog electronic circuits. IEEE Trans. Instrum. Meas. 54(3): 1033-1044 (2005) - [c18]Cesare Alippi, F. Pessina, Manuel Roveri:
An adaptive system for automatic invoice-documents classification. ICIP (2) 2005: 526-529 - [c17]Cesare Alippi, Alan Mottarella, Giovanni Vanini:
A RF map-based localization algorithm for indoor environments. ISCAS (1) 2005: 652-655 - [c16]Cesare Alippi, Fabio Scotti:
Exploiting application locality to design fast, low power, low complexity neural classifiers. ISCAS (5) 2005: 5142-5145 - [c15]Cesare Alippi, Giovanni Vanini:
An application-level methodology to guide the design of intelligent-processing, power-aware passive RFIDs. ISCAS (6) 2005: 5509-5512 - [r1]Cesare Alippi, Giovanni Vanini:
Perturbations, Accuracy and Robustness in Neural Networks. Encyclopedia of Information Science and Technology (IV) 2005: 2282-2287 - 2003
- [j17]Cesare Alippi, Andrea Galbusera, Marco Stellini:
An application-level synthesis methodology for multidimensional embedded processing systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 22(11): 1457-1470 (2003) - [j16]Cesare Alippi, Cosimo de Russis, Vincenzo Piuri:
A neural-network based control solution to air-fuel ratio control for automotive fuel-injection systems. IEEE Trans. Syst. Man Cybern. Part C 33(2): 259-268 (2003) - [c14]Cesare Alippi, Marco Stellini:
High level accuracy loss estimates for a class of analog/digital systems. ISCAS (4) 2003: 600-603 - 2002
- [j15]Cesare Alippi:
Randomized Algorithms: A System-Level, Poly-Time Analysis of Robust Computation. IEEE Trans. Computers 51(7): 740-749 (2002) - [j14]Cesare Alippi:
A probably approximately correct framework to estimate performancedegradation in embedded systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 21(7): 749-762 (2002) - [j13]Cesare Alippi, Marcantonio Catelani, Ada Fort, Marco Mugnaini:
SBT soft fault diagnosis in analog electronic circuits: a sensitivity-based approach by randomized algorithms. IEEE Trans. Instrum. Meas. 51(5): 1116-1125 (2002) - [c13]Cesare Alippi, Andrea Galbusera, Marco Stellini:
An application level synthesis methodology for embedded systems. ISCAS (5) 2002: 473-476 - 2001
- [c12]Cesare Alippi:
A system-level analysis of robustness by randomised algorithms. ICECS 2001: 609-613 - [c11]Cesare Alippi, William Fornaciari, Laura Pozzi, Mariagiovanna Sami:
Determining the Optimum Extended Instruction-Set Architecture for Application Specific Reconfigurable VLIW CPUs. IEEE International Workshop on Rapid System Prototyping 2001: 50-57 - 2000
- [j12]Cesare Alippi, Ettore Casagrande, Fabio Scotti, Vincenzo Piuri:
Composite real-time image processing for railways track profile measurement. IEEE Trans. Instrum. Meas. 49(3): 559-564 (2000) - [c10]Cesare Alippi, William Fornaciari, Laura Pozzi, Mariagiovanna Sami:
Determining the optimum extended instruction-set architecture for application specific reconfigurable VLIW CPUs (poster abstract). FPGA 2000: 218 - [c9]Cesare Alippi, Stefano Ferrari, Vincenzo Piuri:
A Methodology for Example-Based Specification and Design. IJCNN (3) 2000: 535-542
1990 – 1999
- 1999
- [j11]Cesare Alippi, Vincenzo Piuri:
Introduction to Special Issue. Integr. Comput. Aided Eng. 6(1): 1-2 (1999) - [j10]Cesare Alippi, Fabio Casamatta, Leonardo Furlan, Andrea Pelagotti, Vincenzo Piuri:
NeSS: a Simulation Environment for Behavioral Design of Neural Networks for Prediction and Control. Integr. Comput. Aided Eng. 6(3): 223-232 (1999) - [j9]Cesare Alippi, Vincenzo Piuri:
Neural modeling of dynamic systems with nonmeasurable state variables. IEEE Trans. Instrum. Meas. 48(6): 1073-1080 (1999) - [c8]Cesare Alippi, William Fornaciari, Laura Pozzi, Mariagiovanna Sami:
A DAG-Based Design Approach for Reconfigurable VLIW Processors. DATE 1999: 778-779 - [c7]Cesare Alippi:
Feedforward neural networks with improved insensitivity abilities. ISCAS (5) 1999: 359-362 - 1998
- [j8]Vincenzo Piuri, Cesare Alippi:
Artificial neural networks. J. Syst. Archit. 44(8): 565-567 (1998) - [j7]Cesare Alippi, Luciano Briozzo:
Accuracy vs. Precision in Digital VLSI Architectures for Signal Processing. IEEE Trans. Computers 47(4): 472-477 (1998) - [j6]Cesare Alippi, Franco Fummi, Vincenzo Piuri, Mariagiovanna Sami, Donatella Sciuto:
Testability analysis and behavioral testing of the Hopfield neural paradigm. IEEE Trans. Very Large Scale Integr. Syst. 6(3): 507-511 (1998) - 1996
- [c6]Cesare Alippi:
Extending the FPE and the effective number of parameters to neural estimators. ICNN 1996: 217-222 - 1995
- [j5]Cesare Alippi:
Real-time analysis of ships in radar images with neural networks. Pattern Recognit. 28(12): 1899-1913 (1995) - [c5]Cesare Alippi, Fabio Casamatta, Leonardo Furlan:
Control of the underexcitation mode of synchronous machines in power plants. ICNN 1995: 612-616 - [c4]Cesare Alippi, Raffaele Petracca, Vincenzo Piuri:
Off-Line Performance Maximisation in Feed-Forward Neural Networks by Applying Virtual Neurons and Covariance Transformations. ISCAS 1995: 2197-2200 - 1994
- [j4]José L. Ribeiro Filho, Philip C. Treleaven, Cesare Alippi:
Genetic-Algorithm Programming Environments. Computer 27(6): 28-43 (1994) - [c3]Cesare Alippi, Vincenzo Piuri, Mariagiovanna Sami:
Sensitivity to Errors in Artificial Neural Networks: a Behavioural Approach. ISCAS 1994: 459-462 - [c2]Cesare Alippi, Luciano Briozzo:
Setting and Validating Precision Requirements in the Digital VLSI Implementation of a Neural Defect-Identifier for Machined Objects. ISCAS 1994: 491-494 - 1993
- [c1]A. Dell'Acqua, M. Hansen, Sami J. Inkinen, B. Lofstedt, J. P. Vanuxem, Christer Svensson, Jiren Yuan, H. Hentzell, L. Del Buono, J. David, J. F. Genat, H. Lebbolo, O. LeDortz, P. Nayman, Aurore Savoy-Navarro, R. Zitoun, Cesare Alippi, Luca Breveglieri, Luigi Dadda, Vincenzo Piuri, Fabio Salice, Mariagiovanna Sami, Renato Stefanelli, P. Cattaneo, G. Fumagalli, G. Goggi, Simona Brigati, Umberto Gatti, Franco Maloberti, Guido Torelli, P. Carlson, A. Kerek, Goran Appelquist, S. Berglund, C. Bohm, Magnus Engström, N. Yamdagni, Rolf Sundblad, I. Höglund, S. T. Persson:
System Level Policies for Fault Tolerance Issues in the FERMI Project. DFT 1993: 1-8 - 1992
- [j3]Cesare Alippi, Marley M. B. R. Vellasco:
Galatea neural VLSI architectures: Communication and control considerations. Microprocess. Microprogramming 35(1-5): 175-180 (1992) - 1991
- [j2]Cesare Alippi:
The determination of angular values and parameters in flat surfaces: from the mathematical approach to the CORDIC architecture. Microprocessing and Microprogramming 32(1-5): 349-355 (1991) - [j1]Apostolos Nikolaos Refenes, Cesare Alippi:
Iiistological image understanding by error backpropagation. Microprocessing and Microprogramming 32(1-5): 437-446 (1991)
Coauthor Index
[j80] [c89] [i30] [j69] [c86] [c83] [c82] [i15] [c72] [p3] [j55] [j53] [j52] [c70] [c68] [c67] [c65] [j47] [j46] [j45] [c64] [c63] [c60] [j43] [p2] [j39] [c55] [i1] [j35] [j34] [j33] [j32] [c51] [c50] [c49] [c48] [c46] [c45] [c44] [c43] [p1] [j28] [c42] [c41] [c40] [j26] [j25] [c39] [c38] [c37] [c36] [j24] [c34] [c33] [c32] [j22] [j21] [c31] [c30] [c29] [c28] [c26] [c24] [c21] [c18]
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