Alessandro Sperduti

发表

Book Review: "Neural Network in Computer Intelligence", by LiMin Fu

Alessandro Sperduti, 1995, Int. J. Neural Syst..

Solving and Learning Soft Temporal Constraints: Experimental Setting and Results

Alessandro Sperduti, Francesca Rossi, K. B. Venable, 2002 .

Pre-training of Recurrent Neural Networks via Linear Autoencoders

Alessandro Sperduti, Luca Pasa, A. Sperduti, 2014, NIPS.

Integration of Graphical Rules with Adaptive Learning of Structured Information

Alessandro Sperduti, Paolo Frasconi, Marco Gori, 1998, Hybrid Neural Systems.

An improved boosting algorithm and its application to text categorization

Alessandro Sperduti, Fabrizio Sebastiani, Nicola Valdambrini, 2000, CIKM '00.

Bi-causal recurrent cascade correlation

Alessio Micheli, Alessandro Sperduti, Diego Sona, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

A general framework for unsupervised processing of structured data

Alessio Micheli, Alessandro Sperduti, Barbara Hammer, 2004, Neurocomputing.

Exploiting the ODD framework to define a novel effective graph kernel

Alessandro Sperduti, Giovanni Da San Martino, Nicolò Navarin, 2015, ESANN.

Recursive self-organizing network models

Alessio Micheli, Alessandro Sperduti, Barbara Hammer, 2004, Neural Networks.

Online Process Discovery to Detect Concept Drifts in LTL-Based Declarative Process Models

Alessandro Sperduti, Fabrizio Maria Maggi, Marta Cimitile, 2013, OTM Conferences.

Distributed representations for terms in hybrid reasoning systems

Alessandro Sperduti, Christoph Goller, Antonina Starita, 1997 .

"Kernelized" Self-Organizing Maps for Structured Data

Markus Hagenbuchner, Alessandro Sperduti, Giovanni Da San Martino, 2007, ESANN.

Optical font recognition for multi-font OCR and document processing

Alessandro Sperduti, Serena La Manna, Anna Maria Colla, 1999, Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99.

A System for the Automatic Morphological Analysis of Mediaeval Manuscripts

Alessandro Sperduti, Antonina Starita, Francesco Masulli, 1996 .

Computational Intelligence and Bioengineering

Alessio Micheli, Alessandro Sperduti, Francesco Masulli, 2009 .

Extending Tree Kernels with Topological Information

Alessandro Sperduti, Giovanni Da San Martino, Fabio Aiolli, 2011, ICANN.

Preface: 9th International workshop on business process intelligence (BPI 2013)

Oscar Pastor, Mathias Weske, Hans Weigand, 2014, BPM 2014.

Input-Output Hidden Markov Models for trees

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2012, ESANN.

Heuristics Miner for Time Intervals

Alessandro Sperduti, Andrea Burattin, A. Sperduti, 2010, ESANN.

Modeling Bi-directional Tree Contexts by Generative Transductions

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2014, ICONIP.

Multiclass Classification with Multi-Prototype Support Vector Machines

Alessandro Sperduti, Fabio Aiolli, A. Sperduti, 2005, J. Mach. Learn. Res..

On the Efficient Classification of Data Structures by Neural Networks

Alessandro Sperduti, Paolo Frasconi, Marco Gori, 1997, IJCAI.

Preference Learning for Category-Ranking based Interactive Text Categorization

Alessandro Sperduti, Fabrizio Sebastiani, Fabio Aiolli, 2007, 2007 International Joint Conference on Neural Networks.

Preferential text classification: learning algorithms and evaluation measures

Alessandro Sperduti, Fabrizio Sebastiani, Fabio Aiolli, 2008, Information Retrieval.

Logo Recognition by Recursive Neural Networks

Giovanni Soda, Alessandro Sperduti, Paolo Frasconi, 1997, GREC.

On Visual-Textual-Knowledge Entity Linking

Alessandro Sperduti, Lamberto Ballan, Marco Rospocher, 2020, 2020 IEEE 14th International Conference on Semantic Computing (ICSC).

Multi-prototype Support Vector Machine

Alessandro Sperduti, Fabio Aiolli, A. Sperduti, 2003, IJCAI.

Learning Kernel-Based Embeddings in Graph Neural Networks

Alessandro Sperduti, Nicolò Navarin, Dinh Van Tran, 2020, ECAI.

Kernel Machines, Neural Networks, and Graphical Models

Alessandro Sperduti, Paolo Frasconi, Antonina Starita, 2006, Intelligenza Artificiale.

Contextual processing of structured data by recursive cascade correlation

Alessio Micheli, Alessandro Sperduti, Diego Sona, 2004, IEEE Transactions on Neural Networks.

A memory efficient graph kernel

Alessandro Sperduti, Giovanni Da San Martino, Nicolò Navarin, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

A framework for the definition of complex structured feature spaces

Alessandro Sperduti, Nicolò Navarin, Dinh Tran-Van, 2020, Neurocomputing.

Learning Nonsparse Kernels by Self-Organizing Maps for Structured Data

Markus Hagenbuchner, Alessandro Sperduti, Giovanni Da San Martino, 2009, IEEE Transactions on Neural Networks.

Learning Distributed Representations for the Classification of Terms

Alessandro Sperduti, Christoph Goller, Antonina Starita, 1995, IJCAI.

Learning Sequential Data with the Help of Linear Systems

Alessandro Sperduti, Luca Pasa, A. Sperduti, 2016, ANNPR.

The loading problem for recursive neural networks

Alessandro Sperduti, Marco Gori, M. Gori, 2005, Neural Networks.

Guest Editors' Introduction: Special Section on Connectionist Models for Learning in Structured Domains

Alessandro Sperduti, Paolo Frasconi, Marco Gori, 2001, IEEE Trans. Knowl. Data Eng..

Linear Graph Convolutional Networks

Alessandro Sperduti, Luca Pasa, Nicolò Navarin, 2020, ESANN.

SOM-based aggregation for graph convolutional neural networks

Alessandro Sperduti, Luca Pasa, Nicolò Navarin, 2020, Neural Comput. Appl..

Joint Neighborhood Subgraphs Link Prediction

Alessandro Sperduti, Dinh Tran-Van, Fabrizio Costa, 2017, ICONIP.

Efficient Online Learning for Mapping Kernels on Linguistic Structures

Alessandro Sperduti, Alessandro Moschitti, Giovanni Da San Martino, 2019, AAAI.

Semantic phase transition in a classifier based on an adaptive fuzzy system

Alessandro Sperduti, Francesco Masulli, P. Casalino, 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

Boosting algorithms for automated text categorization

Alessandro Sperduti, Fabrizio Sebastiani, Nicola Valdambrini, 2001 .

Application of the preference learning model to a human resources selection task

Alessandro Sperduti, Fabio Aiolli, Michele De Filippo De Grazia, 2009, 2009 IEEE Symposium on Computational Intelligence and Data Mining.

Exact Solutions for Recursive Principal Components Analysis of Sequences and Trees

Alessandro Sperduti, A. Sperduti, 2006, ICANN.

A Generative Multiset Kernel for Structured Data

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2012, ICANN.

Modelling in the Neural Abstract Machine Framework

Alessandro Sperduti, Diego Sona, 2001 .

Extreme Graph Kernels for Online Learning on a Memory Budget

Alessandro Sperduti, Giovanni Da San Martino, Nicolò Navarin, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A preliminary empirical comparison of recursive neural networks and tree kernel methods on regression tasks for tree structured domains

Alessio Micheli, Alessandro Sperduti, Filippo Portera, 2005, Neurocomputing.

PCA-Based Representations of Graphs for Prediction in QSAR Studies

Alessandro Sperduti, Stefano Moro, Riccardo Cardin, 2009, ICANN.

A self-organizing map for adaptive processing of structured data

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti, 2003, IEEE Trans. Neural Networks.

On Filter Size in Graph Convolutional Networks

Alessandro Sperduti, Nicolò Navarin, Dinh Van Tran, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Approximated Neighbours MinHash Graph Node Kernel

Alessandro Sperduti, Nicolò Navarin, A. Sperduti, 2017, ESANN.

A kernel-based ensemble classifier for evolving stream of trees with double concept drifting reaction

Alessandro Sperduti, Valerio Grossi, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

A general framework for adaptive processing of data structures

Alessandro Sperduti, Paolo Frasconi, Marco Gori, 1998, IEEE Trans. Neural Networks.

Design of new biologically active molecules by recursive neural networks

Alessio Micheli, Alessandro Sperduti, Antonina Starita, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

ANASTASIA: ANdroid mAlware detection using STatic analySIs of Applications

Mauro Conti, Alessandro Sperduti, Danfeng Yao, 2016, 2016 8th IFIP International Conference on New Technologies, Mobility and Security (NTMS).

Time and activity sequence prediction of business process instances

Alessandro Sperduti, Massimiliano de Leoni, Mirko Polato, 2016, Computing.

Deep graph node kernels: A convex approach

Alessandro Sperduti, Davide Anguita, Luca Oneto, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Encoding Labeled Graphs by Labeling RAAM

Alessandro Sperduti, A. Sperduti, 1993, NIPS.

Business models enhancement through discovery of roles

Alessandro Sperduti, Andrea Burattin, Marco Veluscek, 2013, 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Self Organizing Maps for the Clustering of Large Sets of Labeled Graphs

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti, 2008, INEX.

Self-Organizing Maps for cyclic and unbounded graphs

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti, 2008, ESANN.

Compositional generative mapping of structured data

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Hybrid pattern-recognition scheme

Alessandro Sperduti, Francesco Masulli, Davide Alfonso, 1996, Defense + Commercial Sensing.

On the Computational Power of Recurrent Neural Networks for Structures

Alessandro Sperduti, A. Sperduti, 1997, Neural Networks.

Sparsity Issues in Self-Organizing-Maps for Structures

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti, 2011, ESANN.

Techniques for a Posteriori Analysis of Declarative Processes

Alessandro Sperduti, Wil M. P. van der Aalst, Fabrizio Maria Maggi, 2012, 2012 IEEE 16th International Enterprise Distributed Object Computing Conference.

Self-Organizing Maps for Time Series

Alessio Micheli, Alessandro Sperduti, Barbara Hammer, 2005 .

Analysis of the Internal Representations Developed by Neural Networks for Structures Applied to Quantitative Structure-Activity Relationship Studies of Benzodiazepines

Alessio Micheli, Alessandro Sperduti, Antonina Starita, 2001, J. Chem. Inf. Comput. Sci..

Embeddings and Representation Learning for Structured Data pdf

Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti, 2019, ESANN.

Recursive cascade correlation for contextual processing of structured data

Alessio Micheli, Alessandro Sperduti, Diego Sona, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Contextual Processing of Structured Data by

Alessio Micheli, Alessandro Sperduti, Diego Sona, 2004 .

Modular Labeling RAAM

Alessandro Sperduti, Antonina Starita, A. Sperduti, 1995, ICANNGA.

Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization pdf

Alessandro Sperduti, Antonio Carta, Davide Bacciu, 2020, ArXiv.

On the Need for a Neural Abstract Machine

Alessandro Sperduti, Diego Sona, A. Sperduti, 2001, Sequence Learning.

Discovering high-level BPMN process models from event data

Alessandro Sperduti, Wil M. P. van der Aalst, Massimiliano de Leoni, 2018, Bus. Process. Manag. J..

SPI: A System for Paleographic Inspections

Alessandro Sperduti, Maria Simi, Antonina Starita, 1999 .

An empirical study on budget-aware online kernel algorithms for streams of graphs

Alessandro Sperduti, Giovanni Da San Martino, Nicolò Navarin, 2015, Neurocomputing.

Formal Determination of Context in Contextual Recursive Cascade Correlation Networks

Alessio Micheli, Alessandro Sperduti, Diego Sona, 2003, ICANN.

Competitive and hybrid neuro-fuzzy models for supervised classification

Alessandro Sperduti, Francesco Masulli, N. Giusti, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Online Discovery of Declarative Process Models from Event Streams

Alessandro Sperduti, Fabrizio Maria Maggi, Marta Cimitile, 2015, IEEE Transactions on Services Computing.

Encoding Conceptual Graphs by Labeling RAAM

Alessandro Sperduti, Antonina Starita, M. de Gerlache, 1994 .

DEEP: decomposition feature enhancement procedure for graphs

Alessandro Sperduti, Nicolò Navarin, Dinh Tran-Van, 2018, ESANN.

Scuba: scalable kernel-based gene prioritization

Giorgio Valle, Alessandro Sperduti, Fabio Aiolli, 2018, BMC Bioinformatics.

A tutorial on neurocomputing of structures

Alessandro Sperduti, A. Sperduti, 2000 .

Adaptive tree kernel by multinomial generative topographic mapping

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2011, The 2011 International Joint Conference on Neural Networks.

Heuristics Miners for Streaming Event Data pdf

Alessandro Sperduti, Wil M. P. van der Aalst, Wil M.P. van der Aalst, 2012, ArXiv.

Predicting Thermodynamic Properties from Molecular Structures by Recursive Neural Networks

Alessio Micheli, Alessandro Sperduti, Antonina Starita, 2004 .

Fast On-line Kernel Learning for Trees

Alessandro Sperduti, Alessandro Moschitti, Giovanni Da San Martino, 2006, Sixth International Conference on Data Mining (ICDM'06).

PLG: A Framework for the Generation of Business Process Models and Their Execution Logs

Alessandro Sperduti, Andrea Burattin, A. Sperduti, 2010, Business Process Management Workshops.

Tree-Based Kernel for Graphs With Continuous Attributes

Alessandro Sperduti, Nicolò Navarin, Giovanni Da San Martino, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Deep Recurrent Graph Neural Networks

Alessandro Sperduti, Luca Pasa, Nicolò Navarin, 2020, ESANN.

Quantitative structure-activity relationships of Benzodiazepines by recursive cascade correlation

Alessio Micheli, Alessandro Sperduti, Antonina Starita, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

A New Tree Kernel Based on SOM-SD

Alessandro Sperduti, Giovanni Da San Martino, Fabio Aiolli, 2010, ICANN.

Probabilistic Modeling in Machine Learning

Paulo J. G. Lisboa, Thomas Villmann, Davide Bacciu, 2015, Handbook of Computational Intelligence.

Stability properties of labeling recursive auto-associative memory

Alessandro Sperduti, A. Sperduti, 1995, IEEE Trans. Neural Networks.

A re-weighting strategy for improving margins

Alessandro Sperduti, Fabio Aiolli, 2002, Artif. Intell..

Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD

Alessandro Sperduti, Jochen J. Steil, Risto Kõiva, 2006, ESANN.

Towards Online Discovery of Data-Aware Declarative Process Models from Event Streams

Alessandro Sperduti, Luca Oneto, Andrea Burattin, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Advances in artificial neural networks, machine learning and computational intelligence

Alessandro Sperduti, Luca Oneto, Kerstin Bunte, 2011, Neurocomputing.

Learning Orthographic Structure With Sequential Generative Neural Networks

Alessandro Sperduti, Alberto Testolin, Marco Zorzi, 2016, Cogn. Sci..

Contextual Processing of Graphs using Self-Organizing Maps

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti, 2005, ESANN.

Extending local features with contextual information in graph kernels

Alessandro Sperduti, Nicolò Navarin, Riccardo Tesselli, 2015, ICONIP.

QSAR/QSPR Studies by Kernel Machines, Recursive Neural Networks and Their Integration

Alessio Micheli, Alessandro Sperduti, Filippo Portera, 2003, WIRN.

A QSAR study of A1adenosine receptor antagonists by a new neural network model

Alessio Micheli, Alessandro Sperduti, Antonina Starita, 2001 .

A Generalized Quadratic Loss for Support Vector Machines

Alessandro Sperduti, Filippo Portera, A. Sperduti, 2004, ECAI.

Encoding-based Memory Modules for Recurrent Neural Networks pdf

Davide Bacciu, Alessandro Sperduti, Antonio Carta, 2020, ArXiv.

VTKEL: a resource for visual-textual-knowledge entity linking

Alessandro Sperduti, Lamberto Ballan, Luciano Serafini, 2020, SAC.

Acquiring Both Constraint and Solution Preferences in Interactive Constraint Systems

Alessandro Sperduti, Francesca Rossi, F. Rossi, 2004, Constraints.

Self-Organizing Maps for Structured Domains: Theory, Models, and Learning of Kernels

Markus Hagenbuchner, Alessandro Sperduti, Giovanni Da San Martino, 2009, Innovations in Neural Information Paradigms and Applications.

Universal Readout for Graph Convolutional Neural Networks

Alessandro Sperduti, Nicolò Navarin, Dinh Van Tran, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

The Conjunctive Disjunctive Node Kernel

Alessandro Sperduti, Dinh Tran-Van, Fabrizio Costa, 2017, ESANN.

Special issue on integration of symbolic and connectionist systems

Franz J. Kurfess, Alessandro Sperduti, Paolo Frasconi, 2002, Cognitive Systems Research.

Some Experiments on Learning Soft Constraints

Alessandro Sperduti, Francesca Rossi, Alessandro Biso, 1998, CP.

Indices to Evaluate Self-Organizing Maps for Structures

Alessandro Sperduti, Jochen J. Steil, 2007 .

Universal Approximation Capability of Cascade Correlation for Structures

Alessio Micheli, Alessandro Sperduti, Barbara Hammer, 2005, Neural Computation.

Supervised learning as preference optimization

Alessandro Sperduti, Fabio Aiolli, 2009, ESANN.

Assessment of sequential Boltmann machines on a lexical processing task

Alessandro Sperduti, Alberto Testolin, Marco Zorzi, 2012, ESANN.

Labelling Recursive Auto-associative Memory

Alessandro Sperduti, A. Sperduti, 1994, Connect. Sci..

Learning in the context of very high dimensional data (Dagstuhl Seminar 11341)

Thomas Villmann, Erzsébet Merényi, Alessandro Sperduti, 2011, Dagstuhl Reports.

Self-organising Map Techniques for Graph Data Applications to Clustering of XML Documents

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti, 2006, ADMA.

LSTM networks for data-aware remaining time prediction of business process instances

Alessandro Sperduti, Mirko Polato, Nicolò Navarin, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Data-aware remaining time prediction of business process instances

Alessandro Sperduti, Massimiliano de Leoni, Mirko Polato, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

A Lossy Counting Based Approach for Learning on Streams of Graphs on a Budget

Alessandro Sperduti, Giovanni Da San Martino, Nicolò Navarin, 2013, IJCAI.

Speeding up the solution of multilabel problems with Support Vector Machines

Alessandro Sperduti, Fabio Aiolli, Filippo Portera, 2003 .

Neural Networks for Processing Data Structures

Alessandro Sperduti, A. Sperduti, 1997, Summer School on Neural Networks.

Predicting Physical-Chemical Properties of Compounds from Molecular Structures by Recursive Neural Networks

Alessio Micheli, Alessandro Sperduti, Antonina Starita, 2006, J. Chem. Inf. Model..

Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory pdf

Davide Bacciu, Alessandro Sperduti, Antonio Carta, 2020, ArXiv.

Efficient Clustering of Structured Documents Using Graph Self-Organizing Maps

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti, 2008, INEX.

On the definition of complex structured feature spaces

Alessandro Sperduti, Nicolò Navarin, Dinh V. Tran, 2019, ESANN.

Kernel-Based Selective Ensemble Learning for Streams of Trees

Alessandro Sperduti, Valerio Grossi, 2011, IJCAI.

Discriminant Pattern Recognition Using Transformation-Invariant Neurons

Alessandro Sperduti, Antonina Starita, Diego Sona, 2000, Neural Computation.

Supervised neural networks for the classification of structures

Alessandro Sperduti, Antonina Starita, A. Sperduti, 1997, IEEE Trans. Neural Networks.

PLG: a Process Log Generator

Alessandro Sperduti, Andrea Burattin, 2010 .

Experimental Results on Learning Soft Constraints

Alessandro Sperduti, Francesca Rossi, Alessandro Biso, 2000, KR.

Learning and Solving Soft Temporal Constraints: An Experimental Study

Alessandro Sperduti, Francesca Rossi, Lina Khatib, 2002, CP.

Measuring the Expressivity of Graph Kernels through the Rademacher Complexity

Alessandro Sperduti, Davide Anguita, Luca Oneto, 2016, ESANN.

Adaptive Contextual Processing of Structured Data by Recursive Neural Networks: A Survey of Computational Properties

Alessio Micheli, Alessandro Sperduti, Barbara Hammer, 2007, Perspectives of Neural-Symbolic Integration.

A Business Process Metric Based on the Alpha Algorithm Relations

Alessandro Sperduti, Fabio Aiolli, Andrea Burattin, 2011, Business Process Management Workshops.

Learning solution preferences in constraint problems

Alessandro Sperduti, Francesca Rossi, F. Rossi, 1998, J. Exp. Theor. Artif. Intell..

A Rapid Graph-based Method for Arbitrary Transformation-Invariant Pattern Classification

Alessandro Sperduti, David G. Stork, 1994, NIPS.

Speed up learning and network optimization with extended back propagation

Alessandro Sperduti, Antonina Starita, 1993, Neural Networks.

Measuring the expressivity of graph kernels through Statistical Learning Theory

Alessandro Sperduti, Davide Anguita, Luca Oneto, 2017, Neurocomputing.

Support Vector Regression with a Generalized Quadratic Loss

Alessandro Sperduti, Filippo Portera, A. Sperduti, 2004, WIRN.

Generative Kernels for Tree-Structured Data

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Jointly Linking Visual and Textual Entity Mentions with Background Knowledge

Alessandro Sperduti, Lamberto Ballan, Marco Rospocher, 2020, NLDB.

A Self-Organising Map Approach for Clustering of XML Documents

Franco Scarselli, Markus Hagenbuchner, Alessandro Sperduti, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

On Linear Separability of Sequences and Structures

Alessandro Sperduti, 2002, ICANN.

Linear Memory Networks pdf

Davide Bacciu, Alessandro Sperduti, Antonio Carta, 2018, ICANN.

Efficient Kernel-based Learning for Trees

Alessandro Sperduti, Alessandro Moschitti, Giovanni Da San Martino, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

XML Document Mining Using Contextual Self-organizing Maps for Structures

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2006, INEX.

Conditional Constrained Graph Variational Autoencoders for Molecule Design

Alessandro Sperduti, Nicolo Navarin, Davide Rigoni, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations

Alessandro Sperduti, Paolo Frasconi, Marco Gori, 2000, ECAI.

Heterogeneous networks integration for disease-gene prioritization with node kernels

Alessandro Sperduti, Rolf Backofen, Dinh Van Tran, 2020, Bioinform..

Ordered Decompositional DAG kernels enhancements pdf

Alessandro Sperduti, Giovanni Da San Martino, Nicolò Navarin, 2015, Neurocomputing.

Extended Cascade-Correlation for Syntactic and Structural Pattern Recognition

Alessandro Sperduti, Antonina Starita, Darya Majidi, 1996, SSPR.

Challenges in Deep Learning

Alessandro Sperduti, Plamen Angelov, A. Sperduti, 2016, ESANN.

The conjunctive disjunctive graph node kernel for disease gene prioritization

Alessandro Sperduti, Fabrizio Costa, Dinh Tran-Van, 2018, Neurocomputing.

Solving and learning a tractable class of soft temporal constraints: Theoretical and experimental results

Alessandro Sperduti, Francesca Rossi, Lina Khatib, 2007, AI Commun..

A Supervised Self-Organizing Map for Structured Data

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti, 2001, WSOM.

Special issue on neural networks and kernel methods for structured domains

Alessandro Sperduti, Barbara Hammer, Craig Saunders, 2005, Neural Networks.

Automatic determination of parameters' values for Heuristics Miner++

Alessandro Sperduti, Andrea Burattin, A. Sperduti, 2010, IEEE Congress on Evolutionary Computation.

A Simple Additive Re-weighting Strategy for Improving Margins

Alessandro Sperduti, Fabio Aiolli, 2001, IJCAI.

Compositional Generative Mapping for Tree-Structured Data—Part I: Bottom-Up Probabilistic Modeling of Trees

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2012, IEEE Transactions on Neural Networks and Learning Systems.

An introduction to recursive neural networks and kernel methods for cheminformatics.

Alessio Micheli, Alessandro Sperduti, Antonina Starita, 2007, Current pharmaceutical design.

Bottom-Up Generative Modeling of Tree-Structured Data

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2010, ICONIP.

Neural Networks for Sequential Data: a Pre-training Approach based on Hidden Markov Models

Alessandro Sperduti, Luca Pasa, Alberto Testolin, 2015, Neurocomputing.

Multilayer Graph Node Kernels: Stacking While Maintaining Convexity

Alessandro Sperduti, Davide Anguita, Luca Oneto, 2018, Neural Processing Letters.

Compositional Generative Mapping for Tree-Structured Data—Part II: Topographic Projection Model

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2013, IEEE Transactions on Neural Networks and Learning Systems.

On Some Stability Properties of the LRAAM Model

Alessandro Sperduti, A. Sperduti, 1993 .

Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels

Alessandro Sperduti, Davide Anguita, Luca Oneto, 2018, IEEE Transactions on Neural Networks and Learning Systems.

A Neural Network Model for Associative Access of Structures

Alessandro Sperduti, Antonina Starita, 1995 .

Computational Intelligence and Bioengineering: Essays in Memory of Antonina Starita - Volume 196 Frontiers in Artificial ntelligence and Applications ... in Artificial Intelligence and Applications

Alessio Micheli, Alessandro Sperduti, Francesco Masulli, 2009 .

Mining Structured Data

Alessandro Sperduti, Giovanni Da San Martino, A. Sperduti, 2010, IEEE Computational Intelligence Magazine.

Computational Intelligence and Bioengineering - Essays in Memory of Antonina Starita

Alessio Micheli, Alessandro Sperduti, Francesco Masulli, 2009, Computational Intelligence and Bioengineering.

On the implementation of frontier-to-root tree automata in recursive neural networks

Alessandro Sperduti, Marco Gori, Andreas Küchler, 1999, IEEE Trans. Neural Networks.

Route kernels for trees

Alessandro Sperduti, Giovanni Da San Martino, Fabio Aiolli, 2009, ICML '09.

Learning Preferences for Multiclass Problems

Alessandro Sperduti, Fabio Aiolli, A. Sperduti, 2004, NIPS.

Autoencoder-based Initialization for Recurrent Neural Networks with a Linear Memory

Davide Bacciu, Alessandro Sperduti, Antonio Carta, 2019 .

Graph Kernels Exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions pdf

Alessandro Sperduti, Giovanni Da San Martino, Nicolò Navarin, 2014, ICONIP.

Discretizing Continuous Attributes in AdaBoost for Text Categorization

Alessandro Sperduti, Fabrizio Sebastiani, Pio Nardiello, 2003, ECIR.

Learning preferences on temporal constraints: a preliminary report

Alessandro Sperduti, Francesca Rossi, Lina Khatib, 2001, Proceedings Eighth International Symposium on Temporal Representation and Reasoning. TIME 2001.

A Kernel Method for the Optimization of the Margin Distribution

Alessandro Sperduti, Giovanni Da San Martino, Fabio Aiolli, 2008, ICANN.

A preliminary experimental comparison of recursive neural networks and a tree kernel method for QSAR/QSPR regression tasks

Alessio Micheli, Alessandro Sperduti, Filippo Portera, 2004, ESANN.

A Tree-Based Kernel for Graphs

Alessandro Sperduti, Giovanni Da San Martino, Nicolò Navarin, 2012, SDM.

Hidden Recursive Models

Alessandro Sperduti, Paolo Frasconi, Marco Gori, 1998 .

A Constructive Learning Algorithm for Discriminant Tangent Models

Alessandro Sperduti, Antonina Starita, Diego Sona, 1996, NIPS.

Projection of undirected and non-positional graphs using Self Organizing Maps

Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti, 2009, ESANN.

Equivalence Results between Feedforward and Recurrent Neural Networks for Sequences

Alessandro Sperduti, A. Sperduti, 2015, IJCAI.

An Efficient Topological Distance-Based Tree Kernel

Alessandro Sperduti, Giovanni Da San Martino, Fabio Aiolli, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Integrating kitchen appliances to improve food quality and sustainability: the SIAF project

Alessandro Sperduti, Luciano Gamberini, Valeria Orso, 2019, PETRA.

A Systematic Assessment of Deep Learning Models for Molecule Generation

Alessandro Sperduti, Nicolo Navarin, Davide Rigoni, 2020, ESANN.

An input-output hidden Markov model for tree transductions

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2013, Neurocomputing.

Hyper-Parameter Tuning for Graph Kernels via Multiple Kernel Learning

Alessandro Sperduti, Nicolò Navarin, Carlo M. Massimo, 2016, ICONIP.

Efficient Computation of Recursive Principal Component Analysis for Structured Input

Alessandro Sperduti, A. Sperduti, 2007, ECML.

A HMM-based pre-training approach for sequential data

Alessandro Sperduti, Luca Pasa, Alberto Testolin, 2014, ESANN.

Linear dynamical based models for sequential domains

Peter Tiño, Alessandro Sperduti, Luca Pasa, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Multiple Graph-Kernel Learning

Alessandro Sperduti, Fabio Aiolli, Nicolò Navarin, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Clustering XML Documents Using Self-organizing Maps for Structures

Ah Chung Tsoi, Franco Scarselli, Markus Hagenbuchner, 2005, INEX.

Theoretical and Experimental Analysis of a Two-Stage System for Classification

Alessandro Sperduti, Francesco Masulli, Nicola Giusti, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

A General Framework for Self-Organizing Structure Processing Neural Networks

Alessio Micheli, Alessandro Sperduti, Barbara Hammer, 2003 .

Heuristics Miners for Streaming Event Data

Alessandro Sperduti, Wil M. P. van der Aalst, Wil M.P. van der Aalst, 2012, ArXiv.

Neural Networks for Adaptive Processing of Structured Data

Alessandro Sperduti, 2001, ICANN.

Rule Specialization in Networks of Fuzzy Basis Functions

Alessandro Sperduti, Francesco Masulli, F. Casalino, 1998, Intell. Autom. Soft Comput..

A Preference Optimization Based Unifying Framework for Supervised Learning Problems

Alessandro Sperduti, Fabio Aiolli, A. Sperduti, 2010, Preference Learning.

A novel criterion for overlapping communities detection and clustering improvement

Alessandro Sperduti, Alessandro Berti, Andrea Burattin, 2014, 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Reasoning about service oriented recursion

Alessandro Sperduti, Claudio Guidi, 2011, 2011 IEEE International Conference on Service-Oriented Computing and Applications (SOCA).

An Example of Neural Code: Neural Trees Implemented by LRAAMs

Alessandro Sperduti, Antonina Starita, A. Sperduti, 1993 .

Integrating bi-directional contexts in a generative kernel for trees

Davide Bacciu, Alessio Micheli, Alessandro Sperduti, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

An efficient SMO-like algorithm for multiclass SVM

Alessandro Sperduti, Fabio Aiolli, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Application of Cascade Correlation Networks for Structures to Chemistry

Alessio Micheli, Alessandro Sperduti, Antonina Starita, 2004, Applied Intelligence.

A general framework for unsupervisedprocessing of structuredd ata

Alessio Micheli, Alessandro Sperduti, Barbara Hammer, 2004 .

Conformance checking based on multi-perspective declarative process models

Alessandro Sperduti, Fabrizio Maria Maggi, Andrea Burattin, 2015, Expert Syst. Appl..

Artificial Neural Network Models

Peter Tiño, Alessandro Sperduti, Lubica Benusková, 2015, Handbook of Computational Intelligence.

Process Mining Manifesto

Ricardo Seguel, Paola Mello, Donato Malerba, 2011, Business Process Management Workshops.

Pre-training Graph Neural Networks with Kernels pdf

Alessandro Sperduti, Nicolò Navarin, Dinh Van Tran, 2018, ArXiv.

Recursive Principal Component Analysis of Graphs

Alessio Micheli, Alessandro Sperduti, 2007, ICANN.

VT-LINKER: Visual-Textual-Knowledge Entity Linker

Alessandro Sperduti, Lamberto Ballan, Luciano Serafini, 2020, ECAI.

A Better Loss for Visual-Textual Grounding pdf

Alessandro Sperduti, Luciano Serafini, Davide Rigoni, 2021, ArXiv.

Simple Graph Convolutional Networks pdf

Alessandro Sperduti, Luca Pasa, Wolfgang Erb, 2021, ArXiv.

Are Professional Kitchens Ready for Dummies? A Comparative Usability Evaluation Between Expert and Non-expert Users

Alessandro Sperduti, Luciano Gamberini, Valeria Orso, 2021, HCI.

Tangent Graph Convolutional Network

Alessandro Sperduti, Luca Pasa, Nicolò Navarin, 2021, ESANN 2021 proceedings.

Complex Data: Learning Trustworthily, Automatically, and with Guarantees

Alessio Micheli, Franco Scarselli, Alessandro Sperduti, 2021, ESANN.

Conditional Variational Capsule Network for Open Set Recognition pdf

Alessandro Sperduti, Lamberto Ballan, Guglielmo Camporese, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Encoding-based memory for recurrent neural networks

Davide Bacciu, Alessandro Sperduti, Antonio Carta, 2021, Neurocomputing.

Solving and Learning Soft Temporal Constraints: Experimental Scenario and Examples

Alessandro Sperduti, Francesca Rossi, Dennis Koga, 2001 .

Metric for Clustering Business Processes Based on Alpha Algorithm Relations

Alessandro Sperduti, Fabio Aiolli, Andrea Burattin, 2011 .