Alessandro Sperduti

Davide Bacciu, Alessio Micheli, Alessandro Sperduti: An input-output hidden Markov model for tree transductions. Neurocomputing 112: 34-46 (2013)

Davide Bacciu, Alessio Micheli, Alessandro Sperduti: Compositional Generative Mapping for Tree-Structured Data - Part II: Topographic Projection Model. IEEE Trans. Neural Netw. Learning Syst. 24(2): 231-247 (2013)

Davide Bacciu, Alessio Micheli, Alessandro Sperduti: Compositional Generative Mapping for Tree-Structured Data - Part I: Bottom-Up Probabilistic Modeling of Trees. IEEE Trans. Neural Netw. Learning Syst. 23(12): 1987-2002 (2012)

Andrea Burattin, Fabrizio Maria Maggi, Wil M. P. van der Aalst, Alessandro Sperduti: Techniques for a Posteriori Analysis of Declarative Processes. EDOC 2012: 41-50

Davide Bacciu, Alessio Micheli, Alessandro Sperduti: A Generative Multiset Kernel for Structured Data. ICANN (1) 2012: 57-64

Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti: A memory efficient graph kernel. IJCNN 2012: 1-7

Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti: A Tree-Based Kernel for Graphs. SDM 2012: 975-986

Andrea Burattin, Alessandro Sperduti, Wil M. P. van der Aalst: Heuristics Miners for Streaming Event Data. CoRR abs/1212.6383 (2012)

Fabio Aiolli, Andrea Burattin, Alessandro Sperduti: A Business Process Metric Based on the Alpha Algorithm Relations. Business Process Management Workshops (1) 2011: 141-146

Wil M. P. van der Aalst, Arya Adriansyah, Ana Karla Alves de Medeiros, Franco Arcieri, Thomas Baier, Tobias Blickle, R. P. Jagadeesh Chandra Bose, Peter van den Brand, Ronald Brandtjen, Joos C. A. M. Buijs, Andrea Burattin, Josep Carmona, Malú Castellanos, Jan Claes, Jonathan Cook, Nicola Costantini, Francisco Curbera, Ernesto Damiani, Massimiliano de Leoni, Pavlos Delias, Boudewijn F. van Dongen, Marlon Dumas, Schahram Dustdar, Dirk Fahland, Diogo R. Ferreira, Walid Gaaloul, Frank van Geffen, Sukriti Goel, Christian W. Günther, Antonella Guzzo, Paul Harmon, Arthur H. M. ter Hofstede, John Hoogland, Jon Espen Ingvaldsen, Koki Kato, Rudolf Kuhn, Akhil Kumar, Marcello La Rosa, Fabrizio Maria Maggi, Donato Malerba, R. S. Mans, Alberto Manuel, Martin McCreesh, Paola Mello, Jan Mendling, Marco Montali, Hamid R. Motahari Nezhad, Michael zur Muehlen, Jorge Munoz-Gama, Luigi Pontieri, Joel Ribeiro, Anne Rozinat, Hugo Seguel Pérez, Ricardo Seguel Pérez, Marcos Sepúlveda, Jim Sinur, Pnina Soffer, Minseok Song, Alessandro Sperduti, Giovanni Stilo, Casper Stoel, Keith D. Swenson, Maurizio Talamo, Wei Tan, Chris Turner, Jan Vanthienen, George Varvaressos, Eric Verbeek, Marc Verdonk, Roberto Vigo, Jianmin Wang, Barbara Weber, Matthias Weidlich, Ton Weijters, Lijie Wen, Michael Westergaard, Moe Thandar Wynn: Process Mining Manifesto. Business Process Management Workshops (1) 2011: 169-194

Markus Hagenbuchner, Giovanni Da San Martino, Ah Chung Tsoi, Alessandro Sperduti: Sparsity Issues in Self-Organizing-Maps for Structures. ESANN 2011

Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti: Extending Tree Kernels with Topological Information. ICANN (1) 2011: 142-149

Valerio Grossi, Alessandro Sperduti: Kernel-Based Selective Ensemble Learning for Streams of Trees. IJCAI 2011: 1281-1287

Davide Bacciu, Alessio Micheli, Alessandro Sperduti: Adaptive tree kernel by multinomial generative topographic mapping. IJCNN 2011: 1651-1658

Claudio Guidi, Alessandro Sperduti: Reasoning about service oriented recursion. SOCA 2011: 1-8

Michael Biehl, Barbara Hammer, Erzsébet Merényi, Alessandro Sperduti, Thomas Villmann: Learning in the context of very high dimensional data (Dagstuhl Seminar 11341). Dagstuhl Reports 1(8): 67-95 (2011)

Giovanni Da San Martino, Alessandro Sperduti: Mining Structured Data. IEEE Comp. Int. Mag. 5(1): 42-49 (2010)

Andrea Burattin, Alessandro Sperduti: PLG: A Framework for the Generation of Business Process Models and Their Execution Logs. Business Process Management Workshops 2010: 214-219

Andrea Burattin, Alessandro Sperduti: Automatic determination of parameters' values for Heuristics Miner++. IEEE Congress on Evolutionary Computation 2010: 1-8

Andrea Burattin, Alessandro Sperduti: Heuristics Miner for Time Intervals. ESANN 2010

Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti: A New Tree Kernel Based on SOM-SD. ICANN (2) 2010: 49-58

Davide Bacciu, Alessio Micheli, Alessandro Sperduti: Bottom-Up Generative Modeling of Tree-Structured Data. ICONIP (1) 2010: 660-668

Davide Bacciu, Alessio Micheli, Alessandro Sperduti: Compositional generative mapping of structured data. IJCNN 2010: 1-8

Fabio Aiolli, Riccardo Cardin, Fabrizio Sebastiani, Alessandro Sperduti: Preferential Text Classification: Learning Algorithms and Evaluation Measures. ERCIM News 2009(76) (2009)

Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi: Graph self-organizing maps for cyclic and unbounded graphs. Neurocomputing 72(7-9): 1419-1430 (2009)

Fabio Aiolli, Riccardo Cardin, Fabrizio Sebastiani, Alessandro Sperduti: Preferential text classification: learning algorithms and evaluation measures. Inf. Retr. 12(5): 559-580 (2009)

Fabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, Alessandro Sperduti: Learning Nonsparse Kernels by Self-Organizing Maps for Structured Data. IEEE Transactions on Neural Networks 20(12): 1938-1949 (2009)

Fabio Aiolli, Michele De Filippo, Alessandro Sperduti: Application of the preference learning model to a human resources selection task. CIDM 2009: 203-210

Fabio Aiolli, Alessandro Sperduti: Supervised learning as preference optimization. ESANN 2009

Markus Hagenbuchner, Shujia Zhang, Ah Chung Tsoi, Alessandro Sperduti: Projection of undirected and non-positional graphs using Self Organizing Maps. ESANN 2009

Riccardo Cardin, Lisa Michielan, Stefano Moro, Alessandro Sperduti: PCA-Based Representations of Graphs for Prediction in QSAR Studies. ICANN (2) 2009: 105-114

Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti: Route kernels for trees. ICML 2009: 3

Fabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, Alessandro Sperduti: Self-Organizing Maps for Structured Domains: Theory, Models, and Learning of Kernels. Innovations in Neural Information Paradigms and Applications 2009: 9-42

Francesco Masulli, Alessio Micheli, Alessandro Sperduti (Eds.): Computational Intelligence and Bioengineering - Essays in Memory of Antonina Starita. Frontiers in Artificial Intelligence and Applications 196, IOS Press 2009, isbn 978-1-60750-010-0

Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi: Self-Organizing Maps for cyclic and unbounded graphs. ESANN 2008: 203-208

Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti: A Kernel Method for the Optimization of the Margin Distribution. ICANN (1) 2008: 305-314

Shujia Zhang, Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti: Self Organizing Maps for the Clustering of Large Sets of Labeled Graphs. INEX 2008: 469-481

Lina Khatib, Paul H. Morris, Robert Morris, Francesca Rossi, Alessandro Sperduti, Kristen Brent Venable: Solving and learning a tractable class of soft temporal constraints: Theoretical and experimental results. AI Commun. 20(3): 181-209 (2007)

Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Alessandro Moschitti: Efficient Kernel-based Learning for Trees. CIDM 2007: 308-315

Barbara Hammer, Alessio Micheli, Alessandro Sperduti: A general framework for unsupervised preocessing of structured data. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007

Alessandro Sperduti: Efficient Computation of Recursive Principal Component Analysis for Structured Input. ECML 2007: 335-346

Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Markus Hagenbuchner: "Kernelized" Self-Organizing Maps for Structured Data. ESANN 2007: 19-24

Alessio Micheli, Alessandro Sperduti: Recursive Principal Component Analysis of Graphs. ICANN (2) 2007: 826-835

Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sperduti: Preference Learning for Category-Ranking based Interactive Text Categorization. IJCNN 2007: 2034-2039

Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti, Milly Kc: Efficient Clustering of Structured Documents Using Graph Self-Organizing Maps. INEX 2007: 207-221

Barbara Hammer, Alessio Micheli, Alessandro Sperduti: Adaptive Contextual Processing of Structured Data by Recursive Neural Networks: A Survey of Computational Properties. Perspectives of Neural-Symbolic Integration 2007: 67-94

Paolo Frasconi, Alessandro Sperduti, Antonina Starita: Kernel Machines, Neural Networks, and Graphical Models. Intelligenza Artificiale 3(1-2): 72-78 (2006)

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti: Self-organising Map Techniques for Graph Data Applications to Clustering of XML Documents. ADMA 2006: 19-30

Jochen J. Steil, Risto Koiva, Alessandro Sperduti: Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD. ESANN 2006: 1-6

Alessandro Sperduti: Exact Solutions for Recursive Principal Components Analysis of Sequences and Trees. ICANN (1) 2006: 349-356

Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Alessandro Moschitti: Fast On-line Kernel Learning for Trees. ICDM 2006: 787-791

Francesca Trentini, Markus Hagenbuchner, Alessandro Sperduti, Franco Scarselli: A Self-Organising Map Approach for Clustering of XML Documents. IJCNN 2006: 1805-1812

Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Alessandro Sperduti, Marco Gori: XML Document Mining Using Contextual Self-organizing Maps for Structures. INEX 2006: 510-524

Alessio Micheli, Filippo Portera, Alessandro Sperduti: A preliminary empirical comparison of recursive neural networks and tree kernel methods on regression tasks for tree structured domains. Neurocomputing 64: 73-92 (2005)

Fabio Aiolli, Alessandro Sperduti: Multiclass Classification with Multi-Prototype Support Vector Machines. Journal of Machine Learning Research 6: 817-850 (2005)

Barbara Hammer, Alessio Micheli, Alessandro Sperduti: Universal Approximation Capability of Cascade Correlation for Structures. Neural Computation 17(5): 1109-1159 (2005)

Barbara Hammer, Craig Saunders, Alessandro Sperduti: Special issue on neural networks and kernel methods for structured domains. Neural Networks 18(8): 1015-1018 (2005)

Marco Gori, Alessandro Sperduti: The loading problem for recursive neural networks. Neural Networks 18(8): 1064-1079 (2005)

Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi: Contextual Processing of Graphs using Self-Organizing Maps. ESANN 2005: 399-404

Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi, Francesca Trentini, Franco Scarselli, Marco Gori: Clustering XML Documents Using Self-organizing Maps for Structures. INEX 2005: 481-496

Francesca Rossi, Alessandro Sperduti: Acquiring Both Constraint and Solution Preferences in Interactive Constraint Systems. Constraints 9(4): 311-332 (2004)

Barbara Hammer, Alessio Micheli, Alessandro Sperduti, Marc Strickert: A general framework for unsupervised processing of structured data. Neurocomputing 57: 3-35 (2004)

Barbara Hammer, Alessio Micheli, Alessandro Sperduti, Marc Strickert: Recursive self-organizing network models. Neural Networks 17(8-9): 1061-1085 (2004)

Alessio Micheli, Diego Sona, Alessandro Sperduti: Contextual processing of structured data by recursive cascade correlation. IEEE Transactions on Neural Networks 15(6): 1396-1410 (2004)

Filippo Portera, Alessandro Sperduti: A Generalized Quadratic Loss for Support Vector Machines. ECAI 2004: 628-634

Alessio Micheli, Filippo Portera, Alessandro Sperduti: A preliminary experimental comparison of recursive neural networks and a tree kernel method for QSAR/QSPR regression tasks. ESANN 2004: 293-298

Fabio Aiolli, Alessandro Sperduti: Learning Preferences for Multiclass Problems. NIPS 2004

Filippo Portera, Alessandro Sperduti: Support Vector Regression with a Generalized Quadratic Loss. WIRN 2004: 209-216

Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi: A self-organizing map for adaptive processing of structured data. IEEE Transactions on Neural Networks 14(3): 491-505 (2003)

Pio Nardiello, Fabrizio Sebastiani, Alessandro Sperduti: Discretizing Continuous Attributes in AdaBoost for Text Categorization. ECIR 2003: 320-334

Alessio Micheli, Diego Sona, Alessandro Sperduti: Formal Determination of Context in Contextual Recursive Cascade Correlation Networks. ICANN 2003: 173-180

Fabio Aiolli, Alessandro Sperduti: Multi-prototype Support Vector Machine. IJCAI 2003: 541-546

Alessio Micheli, Filippo Portera, Alessandro Sperduti: QSAR/QSPR Studies by Kernel Machines, Recursive Neural Networks and Their Integration. WIRN 2003: 308-315

Fabio Aiolli, Alessandro Sperduti: A re-weighting strategy for improving margins. Artif. Intell. 137(1-2): 197-216 (2002)

Paolo Frasconi, Marco Gori, Franz J. Kurfess, Alessandro Sperduti: Special issue on integration of symbolic and connectionist systems. Cognitive Systems Research 3(2): 121-123 (2002)

Nicola Giusti, Francesco Masulli, Alessandro Sperduti: Theoretical and Experimental Analysis of a Two-Stage System for Classification. IEEE Trans. Pattern Anal. Mach. Intell. 24(7): 893-904 (2002)

Francesca Rossi, Alessandro Sperduti, Kristen Brent Venable, Lina Khatib, Paul H. Morris, Robert A. Morris: Learning and Solving Soft Temporal Constraints: An Experimental Study. CP 2002: 249-263

Barbara Hammer, Alessio Micheli, Alessandro Sperduti: A general framework for unsupervised processing of structured data. ESANN 2002: 389-394

Alessandro Sperduti: On Linear Separability of Sequences and Structures. ICANN 2002: 601-606

Alessio Micheli, Alessandro Sperduti, Antonina Starita, Anna Maria Bianucci: Analysis of the Internal Representations Developed by Neural Networks for Structures Applied to Quantitative Structure-Activity Relationship Studies of Benzodiazepines. Journal of Chemical Information and Computer Sciences 41(2): 202-218 (2001)

Alessandro Sperduti: Neural Networks for Adaptive Processing of Structured Data. ICANN 2001: 5-12

Fabio Aiolli, Alessandro Sperduti: A Simple Additive Re-weighting Strategy for Improving Margins. IJCAI 2001: 927-934

Diego Sona, Alessandro Sperduti: On the Need for a Neural Abstract Machine. Sequence Learning 2001: 135-161

Francesca Rossi, Alessandro Sperduti, Lina Khatib, Paul H. Morris, Robert A. Morris: Learning preferences on temporal constraints: a preliminary report. TIME 2001: 63-68

Paolo Frasconi, Marco Gori, Alessandro Sperduti: Guest Editors' Introduction: Special Section on Connectionist Models for Learning in Structured Domains. IEEE Trans. Knowl. Data Eng. 13(2): 145-147 (2001)

Anna Maria Bianucci, Alessio Micheli, Alessandro Sperduti, Antonina Starita: Application of Cascade Correlation Networks for Structures to Chemistry. Appl. Intell. 12(1-2): 115-145 (2000)

Diego Sona, Alessandro Sperduti, Antonina Starita: Discriminant Pattern Recognition Using Transformation-Invariant Neurons. Neural Computation 12(6): 1355-1370 (2000)

Fabrizio Sebastiani, Alessandro Sperduti, Nicola Valdambrini: An Improved Boosting Algorithm and its Application to Text Categorization. CIKM 2000: 78-85

Marco Gori, Paolo Frasconi, Alessandro Sperduti: Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations. ECAI 2000: 301-305

Alessio Micheli, Diego Sona, Alessandro Sperduti: Bi-Causal Recurrent Cascade Correlation. IJCNN (3) 2000: 3-8

Alessandro Biso, Francesca Rossi, Alessandro Sperduti: Experimental Results on Learning Soft Constraints. KR 2000: 435-444

Marco Gori, Andreas Küchler, Alessandro Sperduti: On the implementation of frontier-to-root tree automata in recursive neural networks. IEEE Transactions on Neural Networks 10(6): 1305-1314 (1999)

Serena La Manna, Anna Maria Colla, Alessandro Sperduti: Optical Font Recognition for Multi-Font OCR and Document Processing. DEXA Workshop 1999: 549-553

Francesca Rossi, Alessandro Sperduti: Learning solution preferences in constraint problems. J. Exp. Theor. Artif. Intell. 10(1): 103-116 (1998)

Paolo Frasconi, Marco Gori, Alessandro Sperduti: A general framework for adaptive processing of data structures. IEEE Transactions on Neural Networks 9(5): 768-786 (1998)

Alessandro Biso, Francesca Rossi, Alessandro Sperduti: Some Experiments on Learning Soft Constraints. CP 1998: 464

Paolo Frasconi, Marco Gori, Alessandro Sperduti: Integration of Graphical Rules with Adaptive Learning of Structured Information. Hybrid Neural Systems 1998: 211-225

Alessandro Sperduti: On the Computational Power of Recurrent Neural Networks for Structures. Neural Networks 10(3): 395-400 (1997)

Alessandro Sperduti, Antonina Starita: Supervised neural networks for the classification of structures. IEEE Trans. Neural Netw. Learning Syst. 8(3): 714-735 (1997)

Enrico Francesconi, Paolo Frasconi, Marco Gori, Simone Marinai, Jianqing Sheng, Giovanni Soda, Alessandro Sperduti: Logo Recognition by Recursive Neural Networks. GREC 1997: 104-117

Paolo Frasconi, Marco Gori, Alessandro Sperduti: On the Efficient Classification of Data Structures by Neural Networks. IJCAI 1997: 1066-1071

Alessandro Sperduti: Neural Networks for Processing Data Structures. Summer School on Neural Networks 1997: 121-144

Diego Sona, Alessandro Sperduti, Antonina Starita: A Constructive Learning Algorithm for Discriminant Tangent Models. NIPS 1996: 786-792

Alessandro Sperduti, Darya Majidi, Antonina Starita: Extended Cascade-Correlation for Syntactic and Structural Pattern Recognition. SSPR 1996: 90-99

Alessandro Sperduti: Book Review: "Neural Network in Computer Intelligence", by LiMin Fu. Int. J. Neural Syst. 6(4): 473-474 (1995)

Alessandro Sperduti: Stability properties of labeling recursive auto-associative memory. IEEE Trans. Neural Netw. Learning Syst. 6(6): 1452-1460 (1995)

Alessandro Sperduti, Antonina Starita, Christoph Goller: Learning Distributed Representations for the Classification of Terms. IJCAI 1995: 509-517

Alessandro Sperduti, David G. Stork: A Rapid Graph-based Method for Arbitrary Transformation-Invariant Pattern Classification. NIPS 1994: 665-672

Alessandro Sperduti, Antonina Starita: Speed up learning and network optimization with extended back propagation. Neural Networks 6(3): 365-383 (1993)

Alessandro Sperduti: Encoding Labeled Graphs by Labeling RAAM. NIPS 1993: 1125-1132