Encoding Labeled Graphs by Labeling RAAM. - Alessandro Sperduti (NIPS, 1993)

Speed up learning and network optimization with extended back propagation. - Alessandro Sperduti; Antonina Starita (Neural Networks, 1993)

A Rapid Graph-based Method for Arbitrary Transformation-Invariant Pattern Classification. - Alessandro Sperduti; David G. Stork (NIPS, 1994)

Labelling Recursive Auto-associative Memory. - Alessandro Sperduti (Connect. Sci., 1994)

Modular Labeling RAAM. - Alessandro Sperduti; Antonina Starita (ICANNGA, 1995)

Learning Distributed Representations for the Classification of Terms. - Alessandro Sperduti; Antonina Starita; Christoph Goller (IJCAI, 1995)

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

Stability properties of labeling recursive auto-associative memory. - Alessandro Sperduti (IEEE Trans. Neural Networks, 1995)

A memory model based on LRAAM for associative access of structures. - Alessandro Sperduti; Antonina Starita (ICNN, 1996)

A Constructive Learning Algorithm for Discriminant Tangent Models. - Diego Sona; Alessandro Sperduti; Antonina Starita (NIPS, 1996)

Extended Cascade-Correlation for Syntactic and Structural Pattern Recognition. - Alessandro Sperduti; Darya Majidi; Antonina Starita (SSPR, 1996)

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

Competitive and hybrid neuro-fuzzy models for supervised classification. - Nicola Giusti; Alessandro Sperduti; Francesco Masulli (ICNN, 1997)

An overview on supervised neural networks for structures. - Alessandro Sperduti (ICNN, 1997)

On the Efficient Classification of Data Structures by Neural Networks. - Paolo Frasconi; Marco Gori; Alessandro Sperduti (IJCAI, 1997)

Neural Networks for Processing Data Structures. - Alessandro Sperduti (Summer School on Neural Networks, 1997)

On the Computational Power of Recurrent Neural Networks for Structures. - Alessandro Sperduti (Neural Networks, 1997)

Supervised neural networks for the classification of structures. - Alessandro Sperduti; Antonina Starita (IEEE Trans. Neural Networks, 1997)

Some Experiments on Learning Soft Constraints. - Alessandro Biso; Francesca Rossi 001; Alessandro Sperduti (CP, 1998)

Integration of Graphical Rules with Adaptive Learning of Structured Information. - Paolo Frasconi; Marco Gori; Alessandro Sperduti (Hybrid Neural Systems, 1998)

Rule Specialization in Networks of Fuzzy Basis Functions. - F. Casalino; Francesco Masulli; Alessandro Sperduti (Intell. Autom. Soft Comput., 1998)

Learning solution preferences in constraint problems. - Francesca Rossi 001; Alessandro Sperduti (J. Exp. Theor. Artif. Intell., 1998)

A general framework for adaptive processing of data structures. - Paolo Frasconi; Marco Gori; Alessandro Sperduti (IEEE Trans. Neural Networks, 1998)

Optical Font Recognition for Multi-Font OCR and Document Processing. - Serena La Manna; Anna Maria Colla; Alessandro Sperduti (DEXA Workshop, 1999)

On the implementation of frontier-to-root tree automata in recursive neural networks. - Marco Gori; Andreas Küchler; Alessandro Sperduti (IEEE Trans. Neural Networks, 1999)

A Neural-Based System for the Automatic Classification and Follow-Up of Diabetic Retinopathies. - Antonina Starita; Alessandro Sperduti (Artificial Neural Networks in Biomedicine, 2000)

An Improved Boosting Algorithm and its Application to Text Categorization. - Fabrizio Sebastiani 001; Alessandro Sperduti; Nicola Valdambrini (CIKM, 2000)

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

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

Experimental Results on Learning Soft Constraints. - Alessandro Biso; Francesca Rossi 001; Alessandro Sperduti (KR, 2000)

Application of Cascade Correlation Networks for Structures to Chemistry. - Anna Maria Bianucci; Alessio Micheli; Alessandro Sperduti; Antonina Starita (Appl. Intell., 2000)

Discriminant Pattern Recognition Using Transformation-Invariant Neurons. - Diego Sona; Alessandro Sperduti; Antonina Starita (Neural Comput., 2000)

Neural Networks for Adaptive Processing of Structured Data. - Alessandro Sperduti (ICANN, 2001)

A Simple Additive Re-weighting Strategy for Improving Margins. - Fabio Aiolli; Alessandro Sperduti (IJCAI, 2001)

On the Need for a Neural Abstract Machine. - Diego Sona; Alessandro Sperduti (Sequence Learning, 2001)

Learning preferences on temporal constraints: a preliminary report. - Francesca Rossi 001; Alessandro Sperduti; Lina Khatib; Paul H. Morris; Robert A. Morris 001 (TIME, 2001)

A Supervised Self-Organizing Map for Structured Data. - Markus Hagenbuchner; Ah Chung Tsoi; Alessandro Sperduti (WSOM, 2001)

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; Anna Maria Bianucci (J. Chem. Inf. Comput. Sci., 2001)

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

Learning and Solving Soft Temporal Constraints: An Experimental Study. - Francesca Rossi 001; Alessandro Sperduti; Kristen Brent Venable; Lina Khatib; Paul H. Morris; Robert A. Morris 001 (CP, 2002)

A general framework for unsupervised processing of structured data. - Barbara Hammer; Alessio Micheli; Alessandro Sperduti (ESANN, 2002)

On Linear Separability of Sequences and Structures. - Alessandro Sperduti (ICANN, 2002)

An efficient SMO-like algorithm for multiclass SVM. - Fabio Aiolli; Alessandro Sperduti (NNSP, 2002)

A re-weighting strategy for improving margins. - Fabio Aiolli; Alessandro Sperduti (Artif. Intell., 2002)

Special issue on integration of symbolic and connectionist systems. - Paolo Frasconi; Marco Gori; Franz J. Kurfess; Alessandro Sperduti (Cogn. Syst. Res., 2002)

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

Discretizing Continuous Attributes in AdaBoost for Text Categorization. - Pio Nardiello; Fabrizio Sebastiani 001; Alessandro Sperduti (ECIR, 2003)

Formal Determination of Context in Contextual Recursive Cascade Correlation Networks. - Alessio Micheli; Diego Sona; Alessandro Sperduti (ICANN, 2003)

Multi-prototype Support Vector Machine. - Fabio Aiolli; Alessandro Sperduti (IJCAI, 2003)

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

A self-organizing map for adaptive processing of structured data. - Markus Hagenbuchner; Alessandro Sperduti; Ah Chung Tsoi (IEEE Trans. Neural Networks, 2003)

A Generalized Quadratic Loss for Support Vector Machines. - Filippo Portera; Alessandro Sperduti (ECAI, 2004)

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

Learning Preferences for Multiclass Problems. - Fabio Aiolli; Alessandro Sperduti (NIPS, 2004)

Support Vector Regression with a Generalized Quadratic Loss. - Filippo Portera; Alessandro Sperduti (WIRN, 2004)

Acquiring Both Constraint and Solution Preferences in Interactive Constraint Systems. - Francesca Rossi 001; Alessandro Sperduti (Constraints An Int. J., 2004)

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

Recursive self-organizing network models. - Barbara Hammer; Alessio Micheli; Alessandro Sperduti; Marc Strickert (Neural Networks, 2004)

Contextual processing of structured data by recursive cascade correlation. - Alessio Micheli; Diego Sona; Alessandro Sperduti (IEEE Trans. Neural Networks, 2004)

Contextual Processing of Graphs using Self-Organizing Maps. - Markus Hagenbuchner; Alessandro Sperduti; Ah Chung Tsoi (ESANN, 2005)

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

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

Multiclass Classification with Multi-Prototype Support Vector Machines. - Fabio Aiolli; Alessandro Sperduti (J. Mach. Learn. Res., 2005)

Universal Approximation Capability of Cascade Correlation for Structures. - Barbara Hammer; Alessio Micheli; Alessandro Sperduti (Neural Comput., 2005)

The loading problem for recursive neural networks. - Marco Gori; Alessandro Sperduti (Neural Networks, 2005)

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

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

Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD. - Jochen J. Steil; Risto Kõiva; Alessandro Sperduti (ESANN, 2006)

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

Fast On-line Kernel Learning for Trees. - Fabio Aiolli; Giovanni Da San Martino; Alessandro Sperduti; Alessandro Moschitti (ICDM, 2006)

A Self-Organising Map Approach for Clustering of XML Documents. - Francesca Trentini; Markus Hagenbuchner; Alessandro Sperduti; Franco Scarselli (IJCNN, 2006)

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

Kernel Machines, Neural Networks, and Graphical Models. - Paolo Frasconi; Alessandro Sperduti; Antonina Starita (Intelligenza Artificiale, 2006)

Predicting Physical-Chemical Properties of Compounds from Molecular Structures by Recursive Neural Networks. - Luca Bernazzani; Celia Duce; Alessio Micheli; Vincenzo Mollica; Alessandro Sperduti; Antonina Starita; Maria Rosaria Tiné (J. Chem. Inf. Model., 2006)

Efficient Kernel-based Learning for Trees. - Fabio Aiolli; Giovanni Da San Martino; Alessandro Sperduti; Alessandro Moschitti (CIDM, 2007)

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

Efficient Computation of Recursive Principal Component Analysis for Structured Input. - Alessandro Sperduti (ECML, 2007)

"Kernelized" Self-Organizing Maps for Structured Data. - Fabio Aiolli; Giovanni Da San Martino; Alessandro Sperduti; Markus Hagenbuchner (ESANN, 2007)

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

Preference Learning for Category-Ranking based Interactive Text Categorization. - Fabio Aiolli; Fabrizio Sebastiani 001; Alessandro Sperduti (IJCNN, 2007)

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

Solving and learning a tractable class of soft temporal constraints: Theoretical and experimental results. - Lina Khatib; Paul H. Morris; Robert A. Morris 001; Francesca Rossi 001; Alessandro Sperduti; Kristen Brent Venable (AI Commun., 2007)

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

Self-Organizing Maps for cyclic and unbounded graphs. - Markus Hagenbuchner; Alessandro Sperduti; Ah Chung Tsoi (ESANN, 2008)

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

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

Application of the preference learning model to a human resources selection task. - Fabio Aiolli; Michele De Filippo De Grazia; Alessandro Sperduti (CIDM, 2009)

Supervised learning as preference optimization. - Fabio Aiolli; Alessandro Sperduti (ESANN, 2009)

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

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

Route kernels for trees. - Fabio Aiolli; Giovanni Da San Martino; Alessandro Sperduti (ICML, 2009)

Preferential Text Classification: Learning Algorithms and Evaluation Measures. - Fabio Aiolli; Riccardo Cardin; Fabrizio Sebastiani 001; Alessandro Sperduti (ERCIM News, 2009)

Graph self-organizing maps for cyclic and unbounded graphs. - Markus Hagenbuchner; Alessandro Sperduti; Ah Chung Tsoi (Neurocomputing, 2009)

Learning Nonsparse Kernels by Self-Organizing Maps for Structured Data. - Fabio Aiolli; Giovanni Da San Martino; Markus Hagenbuchner; Alessandro Sperduti (IEEE Trans. Neural Networks, 2009)

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

A Preference Optimization Based Unifying Framework for Supervised Learning Problems. - Fabio Aiolli; Alessandro Sperduti (Preference Learning, 2010)

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

Automatic determination of parameters' values for Heuristics Miner++. - Andrea Burattin; Alessandro Sperduti (IEEE Congress on Evolutionary Computation, 2010)

Heuristics Miner for Time Intervals. - Andrea Burattin; Alessandro Sperduti (ESANN, 2010)

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

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

Compositional generative mapping of structured data. - Davide Bacciu; Alessio Micheli; Alessandro Sperduti (IJCNN, 2010)

Mining Structured Data. - Giovanni Da San Martino; Alessandro Sperduti (IEEE Comput. Intell. Mag., 2010)

Process Mining Manifesto. - Wil M. P. van der Aalst; Arya Adriansyah; Ana Karla Alves de Medeiros; Franco Arcieri; Thomas Baier 001; Tobias Blickle; R. P. Jagadeesh Chandra Bose; Peter van den Brand; Ronald Brandtjen; Joos C. A. M. Buijs; Andrea Burattin; Josep Carmona 001; et al. (Business Process Management Workshops (1), 2011)

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

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

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

Kernel-Based Selective Ensemble Learning for Streams of Trees. - Valerio Grossi; Alessandro Sperduti (IJCAI, 2011)

Adaptive tree kernel by multinomial generative topographic mapping. - Davide Bacciu; Alessio Micheli; Alessandro Sperduti (IJCNN, 2011)

Reasoning about service oriented recursion. - Claudio Guidi; Alessandro Sperduti (SOCA, 2011)

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

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

Input-Output Hidden Markov Models for trees. - Davide Bacciu; Alessio Micheli; Alessandro Sperduti (ESANN, 2012)

Assessment of sequential Boltmann machines on a lexical processing task. - Alberto Testolin; Alessandro Sperduti; Ivilin Peev Stoianov; Marco Zorzi (ESANN, 2012)

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

A memory efficient graph kernel. - Giovanni Da San Martino; Nicolò Navarin; Alessandro Sperduti (IJCNN, 2012)

A Tree-Based Kernel for Graphs. - Giovanni Da San Martino; Nicolò Navarin; Alessandro Sperduti (SDM, 2012)

Heuristics Miners for Streaming Event Data - Andrea Burattin; Alessandro Sperduti; Wil M. P. van der Aalst (CoRR, 2012)

Compositional Generative Mapping for Tree-Structured Data - Part I: Bottom-Up Probabilistic Modeling of Trees. - Davide Bacciu; Alessio Micheli; Alessandro Sperduti (IEEE Trans. Neural Networks Learn. Syst., 2012)

Business models enhancement through discovery of roles. - Andrea Burattin; Alessandro Sperduti; Marco Veluscek (CIDM, 2013)

A Lossy Counting Based Approach for Learning on Streams of Graphs on a Budget. - Giovanni Da San Martino; Nicolò Navarin; Alessandro Sperduti (IJCAI, 2013)

Online Process Discovery to Detect Concept Drifts in LTL-Based Declarative Process Models. - Fabrizio Maria Maggi; Andrea Burattin; Marta Cimitile; Alessandro Sperduti (OTM Conferences, 2013)

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

Compositional Generative Mapping for Tree-Structured Data - Part II: Topographic Projection Model. - Davide Bacciu; Alessio Micheli; Alessandro Sperduti (IEEE Trans. Neural Networks Learn. Syst., 2013)

Control-flow discovery from event streams. - Andrea Burattin; Alessandro Sperduti; Wil M. P. van der Aalst (IEEE Congress on Evolutionary Computation, 2014)

A novel criterion for overlapping communities detection and clustering improvement. - Alessandro Berti 001; Alessandro Sperduti; Andrea Burattin (CIDM, 2014)

A HMM-based pre-training approach for sequential data. - Luca Pasa; Alberto Testolin; Alessandro Sperduti (ESANN, 2014)

Modeling Bi-directional Tree Contexts by Generative Transductions. - Davide Bacciu; Alessio Micheli; Alessandro Sperduti (ICONIP (1), 2014)

Graph Kernels Exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions. - Giovanni Da San Martino; Nicolò Navarin; Alessandro Sperduti (ICONIP (2), 2014)

Integrating bi-directional contexts in a generative kernel for trees. - Davide Bacciu; Alessio Micheli; Alessandro Sperduti (IJCNN, 2014)

Data-aware remaining time prediction of business process instances. - Mirko Polato; Alessandro Sperduti; Andrea Burattin; Massimiliano de Leoni (IJCNN, 2014)

Pre-training of Recurrent Neural Networks via Linear Autoencoders. - Luca Pasa; Alessandro Sperduti (NIPS, 2014)

Exploiting the ODD framework to define a novel effective graph kernel. - Giovanni Da San Martino; Nicolò Navarin; Alessandro Sperduti (ESANN, 2015)

Extending Local Features with Contextual Information in Graph Kernels. - Nicolò Navarin; Alessandro Sperduti; Riccardo Tesselli (ICONIP (4), 2015)

Equivalence Results between Feedforward and Recurrent Neural Networks for Sequences. - Alessandro Sperduti (IJCAI, 2015)

Multiple Graph-Kernel Learning. - Fabio Aiolli; Michele Donini; Nicolò Navarin; Alessandro Sperduti (SSCI, 2015)

Neural Networks for Sequential Data: a Pre-training Approach based on Hidden Markov Models. - Luca Pasa; Alberto Testolin; Alessandro Sperduti (Neurocomputing, 2015)

An Efficient Topological Distance-Based Tree Kernel. - Fabio Aiolli; Giovanni Da San Martino; Alessandro Sperduti (IEEE Trans. Neural Networks Learn. Syst., 2015)

Online Discovery of Declarative Process Models from Event Streams. - Andrea Burattin; Marta Cimitile; Fabrizio Maria Maggi; Alessandro Sperduti (IEEE Trans. Serv. Comput., 2015)

Probabilistic Modeling in Machine Learning. - Davide Bacciu; Paulo J. G. Lisboa; Alessandro Sperduti; Thomas Villmann (Handbook of Computational Intelligence, 2015)

Artificial Neural Network Models. - Peter Tiño; Lubica Benuskova; Alessandro Sperduti (Handbook of Computational Intelligence, 2015)

Learning Sequential Data with the Help of Linear Systems. - Luca Pasa; Alessandro Sperduti (ANNPR, 2016)

Challenges in Deep Learning. - Plamen Angelov 001; Alessandro Sperduti (ESANN, 2016)

Measuring the Expressivity of Graph Kernels through the Rademacher Complexity. - Luca Oneto; Nicolò Navarin; Michele Donini; Alessandro Sperduti; Fabio Aiolli; Davide Anguita (ESANN, 2016)

Hyper-Parameter Tuning for Graph Kernels via Multiple Kernel Learning. - Carlo M. Massimo; Nicolò Navarin; Alessandro Sperduti (ICONIP (2), 2016)

ANASTASIA: ANdroid mAlware detection using STatic analySIs of Applications. - Hossein Fereidooni; Mauro Conti; Danfeng Yao; Alessandro Sperduti (NTMS, 2016)

Learning Orthographic Structure With Sequential Generative Neural Networks. - Alberto Testolin; Ivilin Peev Stoianov; Alessandro Sperduti; Marco Zorzi (Cogn. Sci., 2016)

Conformance checking based on multi-perspective declarative process models. - Andrea Burattin; Fabrizio Maria Maggi; Alessandro Sperduti (Expert Syst. Appl., 2016)

Ordered Decompositional DAG kernels enhancements. - Giovanni Da San Martino; Nicolò Navarin; Alessandro Sperduti (Neurocomputing, 2016)

An empirical study on budget-aware online kernel algorithms for streams of graphs. - Giovanni Da San Martino; Nicolò Navarin; Alessandro Sperduti (Neurocomputing, 2016)

Approximated Neighbours MinHash Graph Node Kernel. - Nicolò Navarin; Alessandro Sperduti (ESANN, 2017)

The Conjunctive Disjunctive Node Kernel. - Dinh Tran-Van; Alessandro Sperduti; Fabrizio Costa (ESANN, 2017)

Link Enrichment for Diffusion-Based Graph Node Kernels. - Dinh Tran-Van; Alessandro Sperduti; Fabrizio Costa (ICANN (2), 2017)

Joint Neighborhood Subgraphs Link Prediction. - Dinh Tran-Van; Alessandro Sperduti; Fabrizio Costa (ICONIP (1), 2017)

A kernel-based ensemble classifier for evolving stream of trees with double concept drifting reaction. - Valerio Grossi; Alessandro Sperduti (IJCNN, 2017)

Deep graph node kernels: A convex approach. - Luca Oneto; Nicolò Navarin; Alessandro Sperduti; Davide Anguita (IJCNN, 2017)

Linear dynamical based models for sequential domains. - Luca Pasa; Alessandro Sperduti; Peter Tiño (IJCNN, 2017)

LSTM networks for data-aware remaining time prediction of business process instances. - Nicolò Navarin; Beatrice Vincenzi; Mirko Polato; Alessandro Sperduti (SSCI, 2017)

Measuring the expressivity of graph kernels through Statistical Learning Theory. - Luca Oneto; Nicolò Navarin; Michele Donini; Alessandro Sperduti; Fabio Aiolli; Davide Anguita (Neurocomputing, 2017)

DEEP: decomposition feature enhancement procedure for graphs. - Dinh Tran-Van; Nicolò Navarin; Alessandro Sperduti (ESANN, 2018)

Extreme Graph Kernels for Online Learning on a Memory Budget. - Nicolò Navarin; Giovanni Da San Martino; Alessandro Sperduti (IJCNN, 2018)

On Filter Size in Graph Convolutional Networks. - Dinh Van Tran; Nicolò Navarin; Alessandro Sperduti (SSCI, 2018)

Scuba: scalable kernel-based gene prioritization. - Guido Zampieri; Dinh Tran-Van; Michele Donini; Nicolò Navarin; Fabio Aiolli; Alessandro Sperduti; Giorgio Valle (BMC Bioinform., 2018)

Time and activity sequence prediction of business process instances. - Mirko Polato; Alessandro Sperduti; Andrea Burattin; Massimiliano de Leoni (Computing, 2018)

Pre-training Graph Neural Networks with Kernels. - Nicolò Navarin; Dinh Van Tran; Alessandro Sperduti (CoRR, 2018)

The conjunctive disjunctive graph node kernel for disease gene prioritization. - Dinh Tran-Van; Alessandro Sperduti; Fabrizio Costa (Neurocomputing, 2018)

Multilayer Graph Node Kernels: Stacking While Maintaining Convexity. - Luca Oneto; Nicolò Navarin; Alessandro Sperduti; Davide Anguita (Neural Process. Lett., 2018)

Generative Kernels for Tree-Structured Data. - Davide Bacciu; Alessio Micheli; Alessandro Sperduti (IEEE Trans. Neural Networks Learn. Syst., 2018)

Tree-Based Kernel for Graphs With Continuous Attributes. - Giovanni Da San Martino; Nicolò Navarin; Alessandro Sperduti (IEEE Trans. Neural Networks Learn. Syst., 2018)

Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels. - Luca Oneto; Nicolò Navarin; Michele Donini; Sandro Ridella; Alessandro Sperduti; Fabio Aiolli; Davide Anguita (IEEE Trans. Neural Networks Learn. Syst., 2018)

Efficient Online Learning for Mapping Kernels on Linguistic Structures. - Giovanni Da San Martino; Alessandro Sperduti; Fabio Aiolli; Alessandro Moschitti (AAAI, 2019)

On the definition of complex structured feature spaces. - Nicolò Navarin; Dinh Van Tran; Alessandro Sperduti (ESANN, 2019)

Embeddings and Representation Learning for Structured Data. - Benjamin Paaßen; Claudio Gallicchio; Alessio Micheli; Alessandro Sperduti (ESANN, 2019)

Linear Memory Networks. - Davide Bacciu; Antonio Carta; Alessandro Sperduti (ICANN (1), 2019)

Universal Readout for Graph Convolutional Neural Networks. - Nicolò Navarin; Dinh Van Tran; Alessandro Sperduti (IJCNN, 2019)

Introduction. - Luca Oneto; Nicolò Navarin; Alessandro Sperduti; Davide Anguita (INNSBDDL (Tutorials), 2019)

Integrating kitchen appliances to improve food quality and sustainability: the SIAF project. - Valeria Orso; Alessandro Sperduti; Luciano Gamberini (PETRA, 2019)

Discovering high-level BPMN process models from event data. - Anna A. Kalenkova; Andrea Burattin; Massimiliano de Leoni; Wil M. P. van der Aalst; Alessandro Sperduti (Bus. Process. Manag. J., 2019)

VT-LINKER: Visual-Textual-Knowledge Entity Linker. - Shahi Dost; Luciano Serafini; Marco Rospocher; Lamberto Ballan; Alessandro Sperduti (ECAI, 2020)

Learning Kernel-Based Embeddings in Graph Neural Networks. - Nicolò Navarin; Dinh Van Tran; Alessandro Sperduti (ECAI, 2020)

Linear Graph Convolutional Networks. - Nicolò Navarin; Wolfgang Erb; Luca Pasa; Alessandro Sperduti (ESANN, 2020)

Deep Recurrent Graph Neural Networks. - Luca Pasa; Nicolò Navarin; Alessandro Sperduti (ESANN, 2020)

A Systematic Assessment of Deep Learning Models for Molecule Generation. - Davide Rigoni 001; Nicolò Navarin; Alessandro Sperduti (ESANN, 2020)

Towards Online Discovery of Data-Aware Declarative Process Models from Event Streams. - Nicolò Navarin; Matteo Cambiaso; Andrea Burattin; Fabrizio Maria Maggi; Luca Oneto; Alessandro Sperduti (IJCNN, 2020)

Jointly Linking Visual and Textual Entity Mentions with Background Knowledge. - Shahi Dost; Luciano Serafini; Marco Rospocher; Lamberto Ballan; Alessandro Sperduti (NLDB, 2020)

Incremental Training of a Recurrent Neural Network Exploiting a Multi-scale Dynamic Memory. - Antonio Carta; Alessandro Sperduti; Davide Bacciu (ECML/PKDD (1), 2020)

VTKEL: a resource for visual-textual-knowledge entity linking. - Shahi Dost; Luciano Serafini; Marco Rospocher; Lamberto Ballan; Alessandro Sperduti (SAC, 2020)

On Visual-Textual-Knowledge Entity Linking. - Shahi Dost; Luciano Serafini; Marco Rospocher; Lamberto Ballan; Alessandro Sperduti (ICSC, 2020)

Conditional Constrained Graph Variational Autoencoders for Molecule Design. - Davide Rigoni 001; Nicolò Navarin; Alessandro Sperduti (SSCI, 2020)

Heterogeneous networks integration for disease-gene prioritization with node kernels. - Dinh Van Tran; Alessandro Sperduti; Rolf Backofen; Fabrizio Costa (Bioinform., 2020)

Encoding-based Memory Modules for Recurrent Neural Networks. - Antonio Carta; Alessandro Sperduti; Davide Bacciu (CoRR, 2020)

Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization. - Antonio Carta; Alessandro Sperduti; Davide Bacciu (CoRR, 2020)

A framework for the definition of complex structured feature spaces. - Nicolò Navarin; Dinh Tran-Van; Alessandro Sperduti (Neurocomputing, 2020)

Advances in artificial neural networks, machine learning and computational intelligence. - Luca Oneto; Kerstin Bunte; Alessandro Sperduti (Neurocomputing, 2020)

Multi-task learning for the prediction of wind power ramp events with deep neural networks. - Manuel Dorado-Moreno; Nicolò Navarin; Pedro Antonio Gutiérrez; Luis Prieto; Alessandro Sperduti; Sancho Salcedo-Sanz; César Hervás-Martínez (Neural Networks, 2020)

Complex Data: Learning Trustworthily, Automatically, and with Guarantees. - Luca Oneto; Nicolò Navarin; Battista Biggio; Federico Errica; Alessio Micheli; Franco Scarselli; Monica Bianchini; Alessandro Sperduti (ESANN, 2021)

Tangent Graph Convolutional Network. - Luca Pasa; Nicolò Navarin; Alessandro Sperduti (ESANN, 2021)

Are Professional Kitchens Ready for Dummies? A Comparative Usability Evaluation Between Expert and Non-expert Users. - Valeria Orso; Daniele Verì; Riccardo Minato; Alessandro Sperduti; Luciano Gamberini (HCI (3), 2021)

Conditional Variational Capsule Network for Open Set Recognition. - Yunrui Guo; Guglielmo Camporese; Wenjing Yang 002; Alessandro Sperduti; Lamberto Ballan (ICCV, 2021)

Simple Multi-resolution Gated GNN. - Luca Pasa; Nicolò Navarin; Alessandro Sperduti (SSCI, 2021)

Simple Graph Convolutional Networks. - Luca Pasa; Nicolò Navarin; Wolfgang Erb; Alessandro Sperduti (CoRR, 2021)

Encoding-based memory for recurrent neural networks. - Antonio Carta; Alessandro Sperduti; Davide Bacciu (Neurocomputing, 2021)

Biased Edge Dropout in NIFTY for Fair Graph Representation Learning. - Federico Caldart; Luca Pasa; Luca Oneto; Alessandro Sperduti; Nicolò Navarin (ESANN, 2022)

Backpropagation-free Graph Neural Networks. - Luca Pasa; Nicolò Navarin; Wolfgang Erb; Alessandro Sperduti (ICDM, 2022)

Compact graph neural network models for node classification. - Luca Pasa; Nicolò Navarin; Alessandro Sperduti (SAC, 2022)

A better loss for visual-textual grounding. - Davide Rigoni 001; Luciano Serafini; Alessandro Sperduti (SAC, 2022)

Conference Report on 2022 IEEE World Congress on Computational Intelligence (IEEE WCCI 2022). - Marco Gori; Alessandro Sperduti; Piero P. Bonissone (IEEE Comput. Intell. Mag., 2022)

Aligning and linking entity mentions in image, text, and knowledge base. - Shahi Dost; Luciano Serafini; Marco Rospocher; Lamberto Ballan; Alessandro Sperduti (Data Knowl. Eng., 2022)

Towards learning trustworthily, automatically, and with guarantees on graphs: An overview. - Luca Oneto; Nicolò Navarin; Battista Biggio; Federico Errica; Alessio Micheli; Franco Scarselli; Monica Bianchini; Luca Demetrio; Pietro Bongini; Armando Tacchella; Alessandro Sperduti (Neurocomputing, 2022)

Polynomial-based graph convolutional neural networks for graph classification. - Luca Pasa; Nicolò Navarin; Alessandro Sperduti (Mach. Learn., 2022)

SOM-based aggregation for graph convolutional neural networks. - Luca Pasa; Nicolò Navarin; Alessandro Sperduti (Neural Comput. Appl., 2022)

Multiresolution Reservoir Graph Neural Network. - Luca Pasa; Nicolò Navarin; Alessandro Sperduti (IEEE Trans. Neural Networks Learn. Syst., 2022)

Weakly-Supervised Visual-Textual Grounding with Semantic Prior Refinement. - Davide Rigoni 001; Luca Parolari; Luciano Serafini; Alessandro Sperduti; Lamberto Ballan (BMVC, 2023)

Real-time Detection of Evoked Potentials by Deep Learning: a Case Study. - Leonardo Amato; Marta Maschietto; Alessandro Leparulo; Mattia Tambaro; Stefano Vassanelli; Alessandro Sperduti (ESANN, 2023)

An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features. - Nicolò Navarin; Luca Pasa; Luca Oneto; Alessandro Sperduti (ESANN, 2023)

An Untrained Neural Model for Fast and Accurate Graph Classification. - Nicolò Navarin; Luca Pasa; Claudio Gallicchio; Alessandro Sperduti (ICANN (4), 2023)

Enhancing Human Resources through Data Science: a Case in Recruiting. - Paolo Frazzetto; Muhammad Uzair-Ul-Haq; Alessandro Sperduti (itaDATA, 2023)

A Hybrid System for Systematic Generalization in Simple Arithmetic Problems. - Flavio Petruzzellis; Alberto Testolin; Alessandro Sperduti (NeSy, 2023)

Topology preserving maps as aggregations for Graph Convolutional Neural Networks. - Paolo Frazzetto; Luca Pasa; Nicolò Navarin; Alessandro Sperduti (SAC, 2023)

Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies. - Flavio Petruzzellis; Alberto Testolin; Alessandro Sperduti (LREC/COLING, 2024)

IFH: A Diffusion Framework for Flexible Design of Graph Generative Models. - Samuel Cognolato; Alessandro Sperduti; Luciano Serafini (ECAI, 2024)

A Neural Rewriting System to Solve Algorithmic Problems. - Flavio Petruzzellis; Alberto Testolin; Alessandro Sperduti (ECAI, 2024)

Prompt-Based Data Augmentation Using Contrastive Learning Under Scarcity of Annotated Data. - Muhammad Uzair-Ul-Haq; Davide Rigoni 001; Alessandro Sperduti (ECAI, 2024)

Towards the application of Backpropagation-Free Graph Convolutional Networks on Huge Datasets. - Nicolò Navarin; Luca Pasa; Alessandro Sperduti (ESANN, 2024)

Relative Local Signal Strength: The Impact of Normalization on the Analysis of Neuroimaging Data with Deep Learning. - Giovanni Donghi; Luca Pasa; Alberto Testolin; Marco Zorzi; Alessandro Sperduti; Nicolò Navarin (ICANN (8), 2024)

Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models. - Flavio Petruzzellis; Alberto Testolin; Alessandro Sperduti (ICANN (5), 2024)

Physics-Informed Graph Neural Cellular Automata: an Application to Compartmental Modelling. - Nicolò Navarin; Paolo Frazzetto; Luca Pasa; Pietro Verzelli; Filippo Visentin; Alessandro Sperduti; Cesare Alippi (IJCNN, 2024)

Beyond the Additive Nodes' Convolutions: a Study on High-Order Multiplicative Integration. - Paolo Frazzetto; Luca Pasa; Nicolò Navarin; Alessandro Sperduti (SAC, 2024)

Improving Soft Skill Extraction via Data Augmentation and Embedding Manipulation. - Muhammad Uzair-Ul-Haq; Paolo Frazzetto; Alessandro Sperduti; Giovanni Da San Martino (SAC, 2024)

Investigating over-parameterized randomized graph networks. - Giovanni Donghi; Luca Pasa; Luca Oneto; Claudio Gallicchio; Alessio Micheli; Davide Anguita; Alessandro Sperduti; Nicolò Navarin (Neurocomputing, 2024)

A unified framework for backpropagation-free soft and hard gated graph neural networks. - Luca Pasa; Nicolò Navarin; Wolfgang Erb; Alessandro Sperduti (Knowl. Inf. Syst., 2024)

Empowering Simple Graph Convolutional Networks. - Luca Pasa; Nicolò Navarin; Wolfgang Erb; Alessandro Sperduti (IEEE Trans. Neural Networks Learn. Syst., 2024)

Object search by a concept-conditioned object detector. - Davide Rigoni 001; Luciano Serafini; Alessandro Sperduti (Neural Comput. Appl., 2024)

Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks. - Maximilian Muschalik; Fabian Fumagalli; Paolo Frazzetto; Janine Strotherm; Luca Hermes; Alessandro Sperduti; Eyke Hüllermeier; Barbara Hammer (ICLR, 2025)

RGCVAE: relational graph conditioned variational autoencoder for molecule design. - Davide Rigoni 001; Nicolò Navarin; Alessandro Sperduti (Mach. Learn., 2025)

From Text to Talent: A Pipeline for Extracting Insights from Candidate Profiles. - Paolo Frazzetto; Muhammad Uzair-Ul-Haq; Flavia Fabris; Alessandro Sperduti (CoRR, 2025)

LLMs as Data Annotators: How Close Are We to Human Performance. - Muhammad Uzair-Ul-Haq; Davide Rigoni 001; Alessandro Sperduti (CoRR, 2025)

A Spectral Interpretation of Redundancy in a Graph Reservoir. - Anna Bison; Alessandro Sperduti (CoRR, 2025)

Learning neuro-symbolic convergent term rewriting systems. - Flavio Petruzzellis; Alberto Testolin; Alessandro Sperduti (CoRR, 2025)

Correction: Object search by a concept-conditioned object detector. - Davide Rigoni 001; Luciano Serafini; Alessandro Sperduti (Neural Comput. Appl., 2025)