Alessandro Sperduti

279 papers A* 13A 13B 49C 11Misc 6Journal 111Unranked 65

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	D4: Distance diffusion for a truly equivariant molecular design. Neurocomputing Samuel Cognolato, Davide Rigoni, Marco Ballarini, Luciano Serafini, Stefano Moro, Alessandro Sperduti
2026	J	`jnl`	MolVE: An Open-Source Web Platform for Visualizing and Evaluating AI-Designed Molecules to Aid in Prioritization. J. Chem. Inf. Model. Davide Rigoni, Alessandro Sperduti, Stefano Moro
2026	J	`jnl`	On the application of neural networks for structured domains to fMRI data. Neural Networks Giovanni Donghi, Luca Pasa, Michele De Filippo De Grazia, Alberto Testolin, Marco Zorzi, Alessandro Sperduti, Nicolò Navarin
2025	B	`conf`	A Deep Learning Approach to Shell and Tube Heat Exchangers Customization. IJCNN Davide Rigoni, Matteo Mirafiori, Andrea Padovan, Giuseppe Censi, Alessandro Sperduti
2025	—	`conf`	A Spectral Interpretation of Redundancy in a Graph Reservoir. ICANN (5) Anna Bison, Alessandro Sperduti
2025	J	`jnl`	A Spectral Interpretation of Redundancy in a Graph Reservoir. CoRR Anna Bison, Alessandro Sperduti
2025	J	`jnl`	Analysis of Dirichlet Energies as Over-smoothing Measures. CoRR Anna Bison, Alessandro Sperduti
2025	J	`jnl`	Correction: Object search by a concept-conditioned object detector. Neural Comput. Appl. Davide Rigoni, Luciano Serafini, Alessandro Sperduti
2025	A*	`conf`	Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks. ICLR Maximilian Muschalik, Fabian Fumagalli, Paolo Frazzetto, Janine Strotherm, Luca Hermes, Alessandro Sperduti, Eyke Hüllermeier, Barbara Hammer
2025	J	`jnl`	Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks. CoRR Fabian Fumagalli, Maximilian Muschalik, Paolo Frazzetto, Janine Strotherm, Luca Hermes, Alessandro Sperduti, Eyke Hüllermeier, Barbara Hammer
2025	J	`jnl`	From Text to Talent: A Pipeline for Extracting Insights from Candidate Profiles. CoRR Paolo Frazzetto, Muhammad Uzair-Ul-Haq, Flavia Fabris, Alessandro Sperduti
2025	J	`jnl`	Iterative In-Context Learning to Enhance LLMs Abstract Reasoning: The Case-Study of Algebraic Tasks. CoRR Stefano Fioravanti, Matteo Zavatteri, Roberto Confalonieri, Kamyar Zeinalipour, Paolo Frazzetto, Alessandro Sperduti, Nicolò Navarin
2025	J	`jnl`	LLMs as Data Annotators: How Close Are We to Human Performance. CoRR Muhammad Uzair-Ul-Haq, Davide Rigoni, Alessandro Sperduti
2025	J	`jnl`	Learning neuro-symbolic convergent term rewriting systems. CoRR Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
2025	J	`jnl`	RGCVAE: relational graph conditioned variational autoencoder for molecule design. Mach. Learn. Davide Rigoni, Nicolò Navarin, Alessandro Sperduti
2025	J	`jnl`	Unveiling the Actual Performance of Neural-based Models for Equation Discovery on Graph Dynamical Systems. CoRR Riccardo Cappi, Paolo Frazzetto, Nicolò Navarin, Alessandro Sperduti
2025	—	`conf`	Variational Inference for the Partial Credit Model. ITADATA Paolo Frazzetto, Nicolò Navarin, Alessandro Sperduti
2024	A	`conf`	A Neural Rewriting System to Solve Algorithmic Problems. ECAI Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
2024	J	`jnl`	A Neural Rewriting System to Solve Algorithmic Problems. CoRR Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
2024	J	`jnl`	A unified framework for backpropagation-free soft and hard gated graph neural networks. Knowl. Inf. Syst. Luca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti
2024	—	`conf`	Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models. ICANN (5) Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
2024	J	`jnl`	Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models. CoRR Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
2024	—	`conf`	Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies. LREC/COLING Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
2024	J	`jnl`	Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies. CoRR Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
2024	Misc	`conf`	Beyond the Additive Nodes' Convolutions: a Study on High-Order Multiplicative Integration. SAC Paolo Frazzetto, Luca Pasa, Nicolò Navarin, Alessandro Sperduti
2024	J	`jnl`	Empowering Simple Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. Luca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti
2024	A	`conf`	IFH: A Diffusion Framework for Flexible Design of Graph Generative Models. ECAI Samuel Cognolato, Alessandro Sperduti, Luciano Serafini
2024	J	`jnl`	IFH: a Diffusion Framework for Flexible Design of Graph Generative Models. CoRR Samuel Cognolato, Alessandro Sperduti, Luciano Serafini
2024	Misc	`conf`	Improving Soft Skill Extraction via Data Augmentation and Embedding Manipulation. SAC Muhammad Uzair-Ul-Haq, Paolo Frazzetto, Alessandro Sperduti, Giovanni Da San Martino
2024	J	`jnl`	Investigating over-parameterized randomized graph networks. Neurocomputing Giovanni Donghi, Luca Pasa, Luca Oneto, Claudio Gallicchio, Alessio Micheli, Davide Anguita, Alessandro Sperduti, Nicolò Navarin
2024	J	`jnl`	Object search by a concept-conditioned object detector. Neural Comput. Appl. Davide Rigoni, Luciano Serafini, Alessandro Sperduti
2024	B	`conf`	Physics-Informed Graph Neural Cellular Automata: an Application to Compartmental Modelling. IJCNN Nicolò Navarin, Paolo Frazzetto, Luca Pasa, Pietro Verzelli, Filippo Visentin, Alessandro Sperduti, Cesare Alippi
2024	—	`ed.`	Proceedings of the 2nd Italian Conference on Big Data and Data Science (ITADATA 2023), Naples, Italy, September 11-13, 2023. itaDATA Nicola Bena, Beniamino Di Martino, Antonio Maratea, Alessandro Sperduti, Emanuel Di Nardo, Angelo Ciaramella, Raffaele Montella, Claudio A. Ardagna
2024	A	`conf`	Prompt-Based Data Augmentation Using Contrastive Learning Under Scarcity of Annotated Data. ECAI Muhammad Uzair-Ul-Haq, Davide Rigoni, Alessandro Sperduti
2024	—	`conf`	Relative Local Signal Strength: The Impact of Normalization on the Analysis of Neuroimaging Data with Deep Learning. ICANN (8) Giovanni Donghi, Luca Pasa, Alberto Testolin, Marco Zorzi, Alessandro Sperduti, Nicolò Navarin
2024	B	`conf`	Towards the application of Backpropagation-Free Graph Convolutional Networks on Huge Datasets. ESANN Nicolò Navarin, Luca Pasa, Alessandro Sperduti
2023	C	`conf`	A Hybrid System for Systematic Generalization in Simple Arithmetic Problems. NeSy Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
2023	J	`jnl`	A Hybrid System for Systematic Generalization in Simple Arithmetic Problems. CoRR Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
2023	B	`conf`	An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features. ESANN Nicolò Navarin, Luca Pasa, Luca Oneto, Alessandro Sperduti
2023	—	`conf`	An Untrained Neural Model for Fast and Accurate Graph Classification. ICANN (4) Nicolò Navarin, Luca Pasa, Claudio Gallicchio, Alessandro Sperduti
2023	—	`conf`	Enhancing Human Resources through Data Science: a Case in Recruiting. itaDATA Paolo Frazzetto, Muhammad Uzair-Ul-Haq, Alessandro Sperduti
2023	J	`jnl`	RGCVAE: Relational Graph Conditioned Variational Autoencoder for Molecule Design. CoRR Davide Rigoni, Nicolò Navarin, Alessandro Sperduti
2023	B	`conf`	Real-time Detection of Evoked Potentials by Deep Learning: a Case Study. ESANN Leonardo Amato, Marta Maschietto, Alessandro Leparulo, Mattia Tambaro, Stefano Vassanelli, Alessandro Sperduti
2023	Misc	`conf`	Topology preserving maps as aggregations for Graph Convolutional Neural Networks. SAC Paolo Frazzetto, Luca Pasa, Nicolò Navarin, Alessandro Sperduti
2023	A	`conf`	Weakly-Supervised Visual-Textual Grounding with Semantic Prior Refinement. BMVC Davide Rigoni, Luca Parolari, Luciano Serafini, Alessandro Sperduti, Lamberto Ballan
2023	J	`jnl`	Weakly-Supervised Visual-Textual Grounding with Semantic Prior Refinement. CoRR Davide Rigoni, Luca Parolari, Luciano Serafini, Alessandro Sperduti, Lamberto Ballan
2022	Misc	`conf`	A better loss for visual-textual grounding. SAC Davide Rigoni, Luciano Serafini, Alessandro Sperduti
2022	J	`jnl`	Aligning and linking entity mentions in image, text, and knowledge base. Data Knowl. Eng. Shahi Dost, Luciano Serafini, Marco Rospocher, Lamberto Ballan, Alessandro Sperduti
2022	A*	`conf`	Backpropagation-free Graph Neural Networks. ICDM Luca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti
2022	B	`conf`	Biased Edge Dropout in NIFTY for Fair Graph Representation Learning. ESANN Federico Caldart, Luca Pasa, Luca Oneto, Alessandro Sperduti, Nicolò Navarin
2022	Misc	`conf`	Compact graph neural network models for node classification. SAC Luca Pasa, Nicolò Navarin, Alessandro Sperduti
2022	J	`jnl`	Conference Report on 2022 IEEE World Congress on Computational Intelligence (IEEE WCCI 2022). IEEE Comput. Intell. Mag. Marco Gori, Alessandro Sperduti, Piero P. Bonissone
2022	J	`jnl`	Multiresolution Reservoir Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. Luca Pasa, Nicolò Navarin, Alessandro Sperduti
2022	J	`jnl`	Polynomial-based graph convolutional neural networks for graph classification. Mach. Learn. Luca Pasa, Nicolò Navarin, Alessandro Sperduti
2022	J	`jnl`	SOM-based aggregation for graph convolutional neural networks. Neural Comput. Appl. Luca Pasa, Nicolò Navarin, Alessandro Sperduti
2022	J	`jnl`	Towards learning trustworthily, automatically, and with guarantees on graphs: An overview. Neurocomputing Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Luca Demetrio, Pietro Bongini, Armando Tacchella, Alessandro Sperduti
2021	J	`jnl`	A Better Loss for Visual-Textual Grounding. CoRR Davide Rigoni, Luciano Serafini, Alessandro Sperduti
2021	—	`conf`	Are Professional Kitchens Ready for Dummies? A Comparative Usability Evaluation Between Expert and Non-expert Users. HCI (3) Valeria Orso, Daniele Verì, Riccardo Minato, Alessandro Sperduti, Luciano Gamberini
2021	B	`conf`	Complex Data: Learning Trustworthily, Automatically, and with Guarantees. ESANN Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Alessandro Sperduti
2021	A*	`conf`	Conditional Variational Capsule Network for Open Set Recognition. ICCV Yunrui Guo, Guglielmo Camporese, Wenjing Yang, Alessandro Sperduti, Lamberto Ballan
2021	J	`jnl`	Conditional Variational Capsule Network for Open Set Recognition. CoRR Yunrui Guo, Guglielmo Camporese, Wenjing Yang, Alessandro Sperduti, Lamberto Ballan
2021	J	`jnl`	Encoding-based memory for recurrent neural networks. Neurocomputing Antonio Carta, Alessandro Sperduti, Davide Bacciu
2021	J	`jnl`	Simple Graph Convolutional Networks. CoRR Luca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti
2021	—	`conf`	Simple Multi-resolution Gated GNN. SSCI Luca Pasa, Nicolò Navarin, Alessandro Sperduti
2021	B	`conf`	Tangent Graph Convolutional Network. ESANN Luca Pasa, Nicolò Navarin, Alessandro Sperduti
2020	B	`conf`	A Systematic Assessment of Deep Learning Models for Molecule Generation. ESANN Davide Rigoni, Nicolò Navarin, Alessandro Sperduti
2020	J	`jnl`	A Systematic Assessment of Deep Learning Models for Molecule Generation. CoRR Davide Rigoni, Nicolò Navarin, Alessandro Sperduti
2020	J	`jnl`	A framework for the definition of complex structured feature spaces. Neurocomputing Nicolò Navarin, Dinh Tran-Van, Alessandro Sperduti
2020	J	`jnl`	Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing Luca Oneto, Kerstin Bunte, Alessandro Sperduti
2020	—	`conf`	Conditional Constrained Graph Variational Autoencoders for Molecule Design. SSCI Davide Rigoni, Nicolò Navarin, Alessandro Sperduti
2020	J	`jnl`	Conditional Constrained Graph Variational Autoencoders for Molecule Design. CoRR Davide Rigoni, Nicolò Navarin, Alessandro Sperduti
2020	B	`conf`	Deep Recurrent Graph Neural Networks. ESANN Luca Pasa, Nicolò Navarin, Alessandro Sperduti
2020	J	`jnl`	Encoding-based Memory Modules for Recurrent Neural Networks. CoRR Antonio Carta, Alessandro Sperduti, Davide Bacciu
2020	J	`jnl`	Heterogeneous networks integration for disease-gene prioritization with node kernels. Bioinform. Dinh Van Tran, Alessandro Sperduti, Rolf Backofen, Fabrizio Costa
2020	J	`jnl`	Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory. CoRR Antonio Carta, Alessandro Sperduti, Davide Bacciu
2020	—	`conf`	Incremental Training of a Recurrent Neural Network Exploiting a Multi-scale Dynamic Memory. ECML/PKDD (1) Antonio Carta, Alessandro Sperduti, Davide Bacciu
2020	C	`conf`	Jointly Linking Visual and Textual Entity Mentions with Background Knowledge. NLDB Shahi Dost, Luciano Serafini, Marco Rospocher, Lamberto Ballan, Alessandro Sperduti
2020	A	`conf`	Learning Kernel-Based Embeddings in Graph Neural Networks. ECAI Nicolò Navarin, Dinh Van Tran, Alessandro Sperduti
2020	B	`conf`	Linear Graph Convolutional Networks. ESANN Nicolò Navarin, Wolfgang Erb, Luca Pasa, Alessandro Sperduti
2020	J	`jnl`	Multi-task learning for the prediction of wind power ramp events with deep neural networks. Neural Networks Manuel Dorado-Moreno, Nicolò Navarin, Pedro Antonio Gutiérrez, Luis Prieto, Alessandro Sperduti, Sancho Salcedo-Sanz, César Hervás-Martínez
2020	—	`conf`	On Visual-Textual-Knowledge Entity Linking. ICSC Shahi Dost, Luciano Serafini, Marco Rospocher, Lamberto Ballan, Alessandro Sperduti
2020	—	`ed.`	Recent Advances in Big Data and Deep Learning, Proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL 2019, held at Sestri Levante, Genova, Italy 16-18 April 2019. INNSBDDL Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
2020	—	`ed.`	Recent Trends in Learning From Data - Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL 2019) INNSBDDL (Tutorials) Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
2020	J	`jnl`	Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization. CoRR Antonio Carta, Alessandro Sperduti, Davide Bacciu
2020	B	`conf`	Towards Online Discovery of Data-Aware Declarative Process Models from Event Streams. IJCNN Nicolò Navarin, Matteo Cambiaso, Andrea Burattin, Fabrizio Maria Maggi, Luca Oneto, Alessandro Sperduti
2020	A	`conf`	VT-LINKER: Visual-Textual-Knowledge Entity Linker. ECAI Shahi Dost, Luciano Serafini, Marco Rospocher, Lamberto Ballan, Alessandro Sperduti
2020	Misc	`conf`	VTKEL: a resource for visual-textual-knowledge entity linking. SAC Shahi Dost, Luciano Serafini, Marco Rospocher, Lamberto Ballan, Alessandro Sperduti
2019	J	`jnl`	Discovering high-level BPMN process models from event data. Bus. Process. Manag. J. Anna A. Kalenkova, Andrea Burattin, Massimiliano de Leoni, Wil M. P. van der Aalst, Alessandro Sperduti
2019	A*	`conf`	Efficient Online Learning for Mapping Kernels on Linguistic Structures. AAAI Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli, Alessandro Moschitti
2019	B	`conf`	Embeddings and Representation Learning for Structured Data. ESANN Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti
2019	J	`jnl`	Embeddings and Representation Learning for Structured Data. CoRR Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti
2019	—	`conf`	Integrating kitchen appliances to improve food quality and sustainability: the SIAF project. PETRA Valeria Orso, Alessandro Sperduti, Luciano Gamberini
2019	—	`conf`	Introduction. INNSBDDL (Tutorials) Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
2019	—	`conf`	Linear Memory Networks. ICANN (1) Davide Bacciu, Antonio Carta, Alessandro Sperduti
2019	B	`conf`	On the definition of complex structured feature spaces. ESANN Nicolò Navarin, Dinh Van Tran, Alessandro Sperduti
2019	B	`conf`	Universal Readout for Graph Convolutional Neural Networks. IJCNN Nicolò Navarin, Dinh Van Tran, Alessandro Sperduti
2018	B	`conf`	DEEP: decomposition feature enhancement procedure for graphs. ESANN Dinh Tran-Van, Nicolò Navarin, Alessandro Sperduti
2018	B	`conf`	Extreme Graph Kernels for Online Learning on a Memory Budget. IJCNN Nicolò Navarin, Giovanni Da San Martino, Alessandro Sperduti
2018	J	`jnl`	Generative Kernels for Tree-Structured Data. IEEE Trans. Neural Networks Learn. Syst. Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2018	J	`jnl`	Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels. IEEE Trans. Neural Networks Learn. Syst. Luca Oneto, Nicolò Navarin, Michele Donini, Sandro Ridella, Alessandro Sperduti, Fabio Aiolli, Davide Anguita
2018	J	`jnl`	Linear Memory Networks. CoRR Davide Bacciu, Antonio Carta, Alessandro Sperduti
2018	J	`jnl`	Multilayer Graph Node Kernels: Stacking While Maintaining Convexity. Neural Process. Lett. Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
2018	—	`conf`	On Filter Size in Graph Convolutional Networks. SSCI Dinh Van Tran, Nicolò Navarin, Alessandro Sperduti
2018	J	`jnl`	On Filter Size in Graph Convolutional Networks. CoRR Dinh Van Tran, Nicolò Navarin, Alessandro Sperduti
2018	J	`jnl`	Pre-training Graph Neural Networks with Kernels. CoRR Nicolò Navarin, Dinh Van Tran, Alessandro Sperduti
2018	J	`jnl`	Scuba: scalable kernel-based gene prioritization. BMC Bioinform. Guido Zampieri, Dinh Tran-Van, Michele Donini, Nicolò Navarin, Fabio Aiolli, Alessandro Sperduti, Giorgio Valle
2018	J	`jnl`	The conjunctive disjunctive graph node kernel for disease gene prioritization. Neurocomputing Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa
2018	J	`jnl`	Time and activity sequence prediction of business process instances. Computing Mirko Polato, Alessandro Sperduti, Andrea Burattin, Massimiliano de Leoni
2018	J	`jnl`	Tree-Based Kernel for Graphs With Continuous Attributes. IEEE Trans. Neural Networks Learn. Syst. Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti
2017	B	`conf`	A kernel-based ensemble classifier for evolving stream of trees with double concept drifting reaction. IJCNN Valerio Grossi, Alessandro Sperduti
2017	B	`conf`	Approximated Neighbours MinHash Graph Node Kernel. ESANN Nicolò Navarin, Alessandro Sperduti
2017	B	`conf`	Deep graph node kernels: A convex approach. IJCNN Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
2017	—	`conf`	Joint Neighborhood Subgraphs Link Prediction. ICONIP (1) Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa
2017	J	`jnl`	LSTM Networks for Data-Aware Remaining Time Prediction of Business Process Instances. CoRR Nicolò Navarin, Beatrice Vincenzi, Mirko Polato, Alessandro Sperduti
2017	—	`conf`	LSTM networks for data-aware remaining time prediction of business process instances. SSCI Nicolò Navarin, Beatrice Vincenzi, Mirko Polato, Alessandro Sperduti
2017	B	`conf`	Linear dynamical based models for sequential domains. IJCNN Luca Pasa, Alessandro Sperduti, Peter Tiño
2017	—	`conf`	Link Enrichment for Diffusion-Based Graph Node Kernels. ICANN (2) Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa
2017	J	`jnl`	Measuring the expressivity of graph kernels through Statistical Learning Theory. Neurocomputing Luca Oneto, Nicolò Navarin, Michele Donini, Alessandro Sperduti, Fabio Aiolli, Davide Anguita
2017	B	`conf`	The Conjunctive Disjunctive Node Kernel. ESANN Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa
2016	—	`conf`	ANASTASIA: ANdroid mAlware detection using STatic analySIs of Applications. NTMS Hossein Fereidooni, Mauro Conti, Danfeng Yao, Alessandro Sperduti
2016	J	`jnl`	An empirical study on budget-aware online kernel algorithms for streams of graphs. Neurocomputing Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti
2016	B	`conf`	Challenges in Deep Learning. ESANN Plamen Angelov, Alessandro Sperduti
2016	J	`jnl`	Conformance checking based on multi-perspective declarative process models. Expert Syst. Appl. Andrea Burattin, Fabrizio Maria Maggi, Alessandro Sperduti
2016	—	`conf`	Hyper-Parameter Tuning for Graph Kernels via Multiple Kernel Learning. ICONIP (2) Carlo M. Massimo, Nicolò Navarin, Alessandro Sperduti
2016	J	`jnl`	Learning Orthographic Structure With Sequential Generative Neural Networks. Cogn. Sci. Alberto Testolin, Ivilin Peev Stoianov, Alessandro Sperduti, Marco Zorzi
2016	—	`conf`	Learning Sequential Data with the Help of Linear Systems. ANNPR Luca Pasa, Alessandro Sperduti
2016	B	`conf`	Measuring the Expressivity of Graph Kernels through the Rademacher Complexity. ESANN Luca Oneto, Nicolò Navarin, Michele Donini, Alessandro Sperduti, Fabio Aiolli, Davide Anguita
2016	J	`jnl`	Ordered Decompositional DAG kernels enhancements. Neurocomputing Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti
2016	J	`jnl`	Time and Activity Sequence Prediction of Business Process Instances. CoRR Mirko Polato, Alessandro Sperduti, Andrea Burattin, Massimiliano de Leoni
2015	J	`jnl`	A tree-based kernel for graphs with continuous attributes. CoRR Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti
2015	J	`jnl`	An Efficient Topological Distance-Based Tree Kernel. IEEE Trans. Neural Networks Learn. Syst. Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
2015	J	`jnl`	An Empirical Study on Budget-Aware Online Kernel Algorithms for Streams of Graphs. CoRR Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti
2015	—	`ch.`	Artificial Neural Network Models. Handbook of Computational Intelligence Peter Tiño, Lubica Benuskova, Alessandro Sperduti
2015	J	`jnl`	Conformance Checking Based on Multi-Perspective Declarative Process Models. CoRR Andrea Burattin, Fabrizio Maria Maggi, Alessandro Sperduti
2015	A*	`conf`	Equivalence Results between Feedforward and Recurrent Neural Networks for Sequences. IJCAI Alessandro Sperduti
2015	B	`conf`	Exploiting the ODD framework to define a novel effective graph kernel. ESANN Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti
2015	—	`conf`	Extending Local Features with Contextual Information in Graph Kernels. ICONIP (4) Nicolò Navarin, Alessandro Sperduti, Riccardo Tesselli
2015	J	`jnl`	Extending local features with contextual information in graph kernels. CoRR Nicolò Navarin, Alessandro Sperduti, Riccardo Tesselli
2015	J	`jnl`	Graph Kernels exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions. CoRR Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti
2015	—	`conf`	Multiple Graph-Kernel Learning. SSCI Fabio Aiolli, Michele Donini, Nicolò Navarin, Alessandro Sperduti
2015	J	`jnl`	Neural Networks for Sequential Data: a Pre-training Approach based on Hidden Markov Models. Neurocomputing Luca Pasa, Alberto Testolin, Alessandro Sperduti
2015	J	`jnl`	Online Discovery of Declarative Process Models from Event Streams. IEEE Trans. Serv. Comput. Andrea Burattin, Marta Cimitile, Fabrizio Maria Maggi, Alessandro Sperduti
2015	J	`jnl`	Ordered Decompositional DAG Kernels Enhancements. CoRR Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti
2015	—	`ch.`	Probabilistic Modeling in Machine Learning. Handbook of Computational Intelligence Davide Bacciu, Paulo J. G. Lisboa, Alessandro Sperduti, Thomas Villmann
2014	B	`conf`	A HMM-based pre-training approach for sequential data. ESANN Luca Pasa, Alberto Testolin, Alessandro Sperduti
2014	C	`conf`	A novel criterion for overlapping communities detection and clustering improvement. CIDM Alessandro Berti, Alessandro Sperduti, Andrea Burattin
2014	B	`conf`	Control-flow discovery from event streams. IEEE Congress on Evolutionary Computation Andrea Burattin, Alessandro Sperduti, Wil M. P. van der Aalst
2014	B	`conf`	Data-aware remaining time prediction of business process instances. IJCNN Mirko Polato, Alessandro Sperduti, Andrea Burattin, Massimiliano de Leoni
2014	—	`conf`	Graph Kernels Exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions. ICONIP (2) Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti
2014	B	`conf`	Integrating bi-directional contexts in a generative kernel for trees. IJCNN Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2014	—	`conf`	Modeling Bi-directional Tree Contexts by Generative Transductions. ICONIP (1) Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2014	—	`conf`	Pre-training of Recurrent Neural Networks via Linear Autoencoders. NIPS Luca Pasa, Alessandro Sperduti
2013	A*	`conf`	A Lossy Counting Based Approach for Learning on Streams of Graphs on a Budget. IJCAI Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti
2013	J	`jnl`	An input-output hidden Markov model for tree transductions. Neurocomputing Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2013	C	`conf`	Business models enhancement through discovery of roles. CIDM Andrea Burattin, Alessandro Sperduti, Marco Veluscek
2013	J	`jnl`	Compositional Generative Mapping for Tree-Structured Data - Part II: Topographic Projection Model. IEEE Trans. Neural Networks Learn. Syst. Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2013	—	`conf`	Online Process Discovery to Detect Concept Drifts in LTL-Based Declarative Process Models. OTM Conferences Fabrizio Maria Maggi, Andrea Burattin, Marta Cimitile, Alessandro Sperduti
2012	—	`conf`	A Generative Multiset Kernel for Structured Data. ICANN (1) Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2012	A	`conf`	A Tree-Based Kernel for Graphs. SDM Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti
2012	B	`conf`	A memory efficient graph kernel. IJCNN Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti
2012	B	`conf`	Assessment of sequential Boltmann machines on a lexical processing task. ESANN Alberto Testolin, Alessandro Sperduti, Ivilin Peev Stoianov, Marco Zorzi
2012	J	`jnl`	Compositional Generative Mapping for Tree-Structured Data - Part I: Bottom-Up Probabilistic Modeling of Trees. IEEE Trans. Neural Networks Learn. Syst. Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2012	J	`jnl`	Heuristics Miners for Streaming Event Data CoRR Andrea Burattin, Alessandro Sperduti, Wil M. P. van der Aalst
2012	B	`conf`	Input-Output Hidden Markov Models for trees. ESANN Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2012	B	`conf`	Techniques for a Posteriori Analysis of Declarative Processes. EDOC Andrea Burattin, Fabrizio Maria Maggi, Wil M. P. van der Aalst, Alessandro Sperduti
2011	—	`conf`	A Business Process Metric Based on the Alpha Algorithm Relations. Business Process Management Workshops (1) Fabio Aiolli, Andrea Burattin, Alessandro Sperduti
2011	B	`conf`	Adaptive tree kernel by multinomial generative topographic mapping. IJCNN Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2011	—	`conf`	Extending Tree Kernels with Topological Information. ICANN (1) Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
2011	A*	`conf`	Kernel-Based Selective Ensemble Learning for Streams of Trees. IJCAI Valerio Grossi, Alessandro Sperduti
2011	J	`jnl`	Learning in the context of very high dimensional data (Dagstuhl Seminar 11341). Dagstuhl Reports Michael Biehl, Barbara Hammer, Erzsébet Merényi, Alessandro Sperduti, Thomas Villmann
2011	—	`conf`	Process Mining Manifesto. Business Process Management Workshops (1) 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 E. 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
2011	—	`conf`	Reasoning about service oriented recursion. SOCA Claudio Guidi, Alessandro Sperduti
2011	B	`conf`	Sparsity Issues in Self-Organizing-Maps for Structures. ESANN Markus Hagenbuchner, Giovanni Da San Martino, Ah Chung Tsoi, Alessandro Sperduti
2010	—	`conf`	A New Tree Kernel Based on SOM-SD. ICANN (2) Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
2010	—	`ch.`	A Preference Optimization Based Unifying Framework for Supervised Learning Problems. Preference Learning Fabio Aiolli, Alessandro Sperduti
2010	B	`conf`	Automatic determination of parameters' values for Heuristics Miner++. IEEE Congress on Evolutionary Computation Andrea Burattin, Alessandro Sperduti
2010	—	`conf`	Bottom-Up Generative Modeling of Tree-Structured Data. ICONIP (1) Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2010	B	`conf`	Compositional generative mapping of structured data. IJCNN Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2010	B	`conf`	Heuristics Miner for Time Intervals. ESANN Andrea Burattin, Alessandro Sperduti
2010	J	`jnl`	Mining Structured Data. IEEE Comput. Intell. Mag. Giovanni Da San Martino, Alessandro Sperduti
2010	—	`conf`	PLG: A Framework for the Generation of Business Process Models and Their Execution Logs. Business Process Management Workshops Andrea Burattin, Alessandro Sperduti
2009	C	`conf`	Application of the preference learning model to a human resources selection task. CIDM Fabio Aiolli, Michele De Filippo De Grazia, Alessandro Sperduti
2009	—	`ed.`	Computational Intelligence and Bioengineering - Essays in Memory of Antonina Starita Computational Intelligence and Bioengineering Francesco Masulli, Alessio Micheli, Alessandro Sperduti
2009	J	`jnl`	Graph self-organizing maps for cyclic and unbounded graphs. Neurocomputing Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi
2009	J	`jnl`	Learning Nonsparse Kernels by Self-Organizing Maps for Structured Data. IEEE Trans. Neural Networks Fabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, Alessandro Sperduti
2009	—	`conf`	PCA-Based Representations of Graphs for Prediction in QSAR Studies. ICANN (2) Riccardo Cardin, Lisa Michielan, Stefano Moro, Alessandro Sperduti
2009	J	`jnl`	Preferential Text Classification: Learning Algorithms and Evaluation Measures. ERCIM News Fabio Aiolli, Riccardo Cardin, Fabrizio Sebastiani, Alessandro Sperduti
2009	J	`jnl`	Preferential text classification: learning algorithms and evaluation measures. Inf. Retr. Fabio Aiolli, Riccardo Cardin, Fabrizio Sebastiani, Alessandro Sperduti
2009	B	`conf`	Projection of undirected and non-positional graphs using Self Organizing Maps. ESANN Markus Hagenbuchner, Shujia Zhang, Ah Chung Tsoi, Alessandro Sperduti
2009	A*	`conf`	Route kernels for trees. ICML Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
2009	—	`ch.`	Self-Organizing Maps for Structured Domains: Theory, Models, and Learning of Kernels. Innovations in Neural Information Paradigms and Applications Fabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, Alessandro Sperduti
2009	B	`conf`	Supervised learning as preference optimization. ESANN Fabio Aiolli, Alessandro Sperduti
2008	—	`conf`	A Kernel Method for the Optimization of the Margin Distribution. ICANN (1) Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
2008	—	`conf`	Self Organizing Maps for the Clustering of Large Sets of Labeled Graphs. INEX Shujia Zhang, Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti
2008	B	`conf`	Self-Organizing Maps for cyclic and unbounded graphs. ESANN Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi
2007	B	`conf`	"Kernelized" Self-Organizing Maps for Structured Data. ESANN Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Markus Hagenbuchner
2007	—	`conf`	A general framework for unsupervised preocessing of structured data. Probabilistic, Logical and Relational Learning - A Further Synthesis Barbara Hammer, Alessio Micheli, Alessandro Sperduti
2007	—	`ch.`	Adaptive Contextual Processing of Structured Data by Recursive Neural Networks: A Survey of Computational Properties. Perspectives of Neural-Symbolic Integration Barbara Hammer, Alessio Micheli, Alessandro Sperduti
2007	—	`conf`	Efficient Clustering of Structured Documents Using Graph Self-Organizing Maps. INEX Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti, Milly Kc
2007	—	`conf`	Efficient Computation of Recursive Principal Component Analysis for Structured Input. ECML Alessandro Sperduti
2007	C	`conf`	Efficient Kernel-based Learning for Trees. CIDM Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Alessandro Moschitti
2007	B	`conf`	Preference Learning for Category-Ranking based Interactive Text Categorization. IJCNN Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sperduti
2007	—	`conf`	Recursive Principal Component Analysis of Graphs. ICANN (2) Alessio Micheli, Alessandro Sperduti
2007	J	`jnl`	Solving and learning a tractable class of soft temporal constraints: Theoretical and experimental results. AI Commun. Lina Khatib, Paul H. Morris, Robert A. Morris, Francesca Rossi, Alessandro Sperduti, K. Brent Venable
2006	B	`conf`	A Self-Organising Map Approach for Clustering of XML Documents. IJCNN Francesca Trentini, Markus Hagenbuchner, Alessandro Sperduti, Franco Scarselli
2006	—	`conf`	Exact Solutions for Recursive Principal Components Analysis of Sequences and Trees. ICANN (1) Alessandro Sperduti
2006	A*	`conf`	Fast On-line Kernel Learning for Trees. ICDM Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Alessandro Moschitti
2006	J	`jnl`	Kernel Machines, Neural Networks, and Graphical Models. Intelligenza Artificiale Paolo Frasconi, Alessandro Sperduti, Antonina Starita
2006	J	`jnl`	Predicting Physical-Chemical Properties of Compounds from Molecular Structures by Recursive Neural Networks. J. Chem. Inf. Model. Luca Bernazzani, Celia Duce, Alessio Micheli, Vincenzo Mollica, Alessandro Sperduti, Antonina Starita, Maria Rosaria Tiné
2006	C	`conf`	Self-organising Map Techniques for Graph Data Applications to Clustering of XML Documents. ADMA Ah Chung Tsoi, Markus Hagenbuchner, Alessandro Sperduti
2006	B	`conf`	Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD. ESANN Jochen J. Steil, Risto Kõiva, Alessandro Sperduti
2006	—	`conf`	XML Document Mining Using Contextual Self-organizing Maps for Structures. INEX Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Alessandro Sperduti, Marco Gori
2005	J	`jnl`	A preliminary empirical comparison of recursive neural networks and tree kernel methods on regression tasks for tree structured domains. Neurocomputing Alessio Micheli, Filippo Portera, Alessandro Sperduti
2005	—	`conf`	Clustering XML Documents Using Self-organizing Maps for Structures. INEX Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi, Francesca Trentini, Franco Scarselli, Marco Gori
2005	B	`conf`	Contextual Processing of Graphs using Self-Organizing Maps. ESANN Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi
2005	J	`jnl`	Multiclass Classification with Multi-Prototype Support Vector Machines. J. Mach. Learn. Res. Fabio Aiolli, Alessandro Sperduti
2005	J	`jnl`	Special issue on neural networks and kernel methods for structured domains. Neural Networks Barbara Hammer, Craig Saunders, Alessandro Sperduti
2005	J	`jnl`	The loading problem for recursive neural networks. Neural Networks Marco Gori, Alessandro Sperduti
2005	J	`jnl`	Universal Approximation Capability of Cascade Correlation for Structures. Neural Comput. Barbara Hammer, Alessio Micheli, Alessandro Sperduti
2004	A	`conf`	A Generalized Quadratic Loss for Support Vector Machines. ECAI Filippo Portera, Alessandro Sperduti
2004	J	`jnl`	A general framework for unsupervised processing of structured data. Neurocomputing Barbara Hammer, Alessio Micheli, Alessandro Sperduti, Marc Strickert
2004	B	`conf`	A preliminary experimental comparison of recursive neural networks and a tree kernel method for QSAR/QSPR regression tasks. ESANN Alessio Micheli, Filippo Portera, Alessandro Sperduti
2004	J	`jnl`	Acquiring Both Constraint and Solution Preferences in Interactive Constraint Systems. Constraints An Int. J. Francesca Rossi, Alessandro Sperduti
2004	J	`jnl`	Contextual processing of structured data by recursive cascade correlation. IEEE Trans. Neural Networks Alessio Micheli, Diego Sona, Alessandro Sperduti
2004	—	`conf`	Learning Preferences for Multiclass Problems. NIPS Fabio Aiolli, Alessandro Sperduti
2004	J	`jnl`	Recursive self-organizing network models. Neural Networks Barbara Hammer, Alessio Micheli, Alessandro Sperduti, Marc Strickert
2004	—	`conf`	Support Vector Regression with a Generalized Quadratic Loss. WIRN Filippo Portera, Alessandro Sperduti
2003	J	`jnl`	A self-organizing map for adaptive processing of structured data. IEEE Trans. Neural Networks Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi
2003	A	`conf`	Discretizing Continuous Attributes in AdaBoost for Text Categorization. ECIR Pio Nardiello, Fabrizio Sebastiani, Alessandro Sperduti
2003	C	`conf`	Formal Determination of Context in Contextual Recursive Cascade Correlation Networks. ICANN Alessio Micheli, Diego Sona, Alessandro Sperduti
2003	A*	`conf`	Multi-prototype Support Vector Machine. IJCAI Fabio Aiolli, Alessandro Sperduti
2003	—	`conf`	QSAR/QSPR Studies by Kernel Machines, Recursive Neural Networks and Their Integration. WIRN Alessio Micheli, Filippo Portera, Alessandro Sperduti
2002	B	`conf`	A general framework for unsupervised processing of structured data. ESANN Barbara Hammer, Alessio Micheli, Alessandro Sperduti
2002	J	`jnl`	A re-weighting strategy for improving margins. Artif. Intell. Fabio Aiolli, Alessandro Sperduti
2002	—	`conf`	An efficient SMO-like algorithm for multiclass SVM. NNSP Fabio Aiolli, Alessandro Sperduti
2002	A	`conf`	Learning and Solving Soft Temporal Constraints: An Experimental Study. CP Francesca Rossi, Alessandro Sperduti, Kristen Brent Venable, Lina Khatib, Paul H. Morris, Robert A. Morris
2002	C	`conf`	On Linear Separability of Sequences and Structures. ICANN Alessandro Sperduti
2002	J	`jnl`	Special issue on integration of symbolic and connectionist systems. Cogn. Syst. Res. Paolo Frasconi, Marco Gori, Franz J. Kurfess, Alessandro Sperduti
2002	J	`jnl`	Theoretical and Experimental Analysis of a Two-Stage System for Classification. IEEE Trans. Pattern Anal. Mach. Intell. Nicola Giusti, Francesco Masulli, Alessandro Sperduti
2001	A*	`conf`	A Simple Additive Re-weighting Strategy for Improving Margins. IJCAI Fabio Aiolli, Alessandro Sperduti
2001	—	`conf`	A Supervised Self-Organizing Map for Structured Data. WSOM Markus Hagenbuchner, Ah Chung Tsoi, Alessandro Sperduti
2001	J	`jnl`	Analysis of the Internal Representations Developed by Neural Networks for Structures Applied to Quantitative Structure-Activity Relationship Studies of Benzodiazepines. J. Chem. Inf. Comput. Sci. Alessio Micheli, Alessandro Sperduti, Antonina Starita, Anna Maria Bianucci
2001	J	`jnl`	Guest Editors' Introduction: Special Section on Connectionist Models for Learning in Structured Domains. IEEE Trans. Knowl. Data Eng. Paolo Frasconi, Marco Gori, Alessandro Sperduti
2001	C	`conf`	Learning preferences on temporal constraints: a preliminary report. TIME Francesca Rossi, Alessandro Sperduti, Lina Khatib, Paul H. Morris, Robert A. Morris
2001	C	`conf`	Neural Networks for Adaptive Processing of Structured Data. ICANN Alessandro Sperduti
2001	—	`conf`	On the Need for a Neural Abstract Machine. Sequence Learning Diego Sona, Alessandro Sperduti
2000	—	`ch.`	A Neural-Based System for the Automatic Classification and Follow-Up of Diabetic Retinopathies. Artificial Neural Networks in Biomedicine Antonina Starita, Alessandro Sperduti
2000	A	`conf`	An Improved Boosting Algorithm and its Application to Text Categorization. CIKM Fabrizio Sebastiani, Alessandro Sperduti, Nicola Valdambrini
2000	J	`jnl`	Application of Cascade Correlation Networks for Structures to Chemistry. Appl. Intell. Anna Maria Bianucci, Alessio Micheli, Alessandro Sperduti, Antonina Starita
2000	—	`conf`	Bi-Causal Recurrent Cascade Correlation. IJCNN (3) Alessio Micheli, Diego Sona, Alessandro Sperduti
2000	J	`jnl`	Discriminant Pattern Recognition Using Transformation-Invariant Neurons. Neural Comput. Diego Sona, Alessandro Sperduti, Antonina Starita
2000	A*	`conf`	Experimental Results on Learning Soft Constraints. KR Alessandro Biso, Francesca Rossi, Alessandro Sperduti
2000	A	`conf`	Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations. ECAI Marco Gori, Paolo Frasconi, Alessandro Sperduti
1999	J	`jnl`	On the implementation of frontier-to-root tree automata in recursive neural networks. IEEE Trans. Neural Networks Marco Gori, Andreas Küchler, Alessandro Sperduti
1999	—	`conf`	Optical Font Recognition for Multi-Font OCR and Document Processing. DEXA Workshop Serena La Manna, Anna Maria Colla, Alessandro Sperduti
1998	J	`jnl`	A general framework for adaptive processing of data structures. IEEE Trans. Neural Networks Paolo Frasconi, Marco Gori, Alessandro Sperduti
1998	—	`conf`	Integration of Graphical Rules with Adaptive Learning of Structured Information. Hybrid Neural Systems Paolo Frasconi, Marco Gori, Alessandro Sperduti
1998	J	`jnl`	Learning solution preferences in constraint problems. J. Exp. Theor. Artif. Intell. Francesca Rossi, Alessandro Sperduti
1998	J	`jnl`	Rule Specialization in Networks of Fuzzy Basis Functions. Intell. Autom. Soft Comput. F. Casalino, Francesco Masulli, Alessandro Sperduti
1998	A	`conf`	Some Experiments on Learning Soft Constraints. CP Alessandro Biso, Francesca Rossi, Alessandro Sperduti
1997	—	`conf`	An overview on supervised neural networks for structures. ICNN Alessandro Sperduti
1997	—	`conf`	Competitive and hybrid neuro-fuzzy models for supervised classification. ICNN Nicola Giusti, Alessandro Sperduti, Francesco Masulli
1997	—	`conf`	Logo Recognition by Recursive Neural Networks. GREC Enrico Francesconi, Paolo Frasconi, Marco Gori, Simone Marinai, Jianqing Sheng, Giovanni Soda, Alessandro Sperduti
1997	—	`conf`	Neural Networks for Processing Data Structures. Summer School on Neural Networks Alessandro Sperduti
1997	J	`jnl`	On the Computational Power of Recurrent Neural Networks for Structures. Neural Networks Alessandro Sperduti
1997	—	`conf`	On the Efficient Classification of Data Structures by Neural Networks. IJCAI Paolo Frasconi, Marco Gori, Alessandro Sperduti
1997	J	`jnl`	Supervised neural networks for the classification of structures. IEEE Trans. Neural Networks Alessandro Sperduti, Antonina Starita
1996	—	`conf`	A Constructive Learning Algorithm for Discriminant Tangent Models. NIPS Diego Sona, Alessandro Sperduti, Antonina Starita
1996	—	`conf`	A memory model based on LRAAM for associative access of structures. ICNN Alessandro Sperduti, Antonina Starita
1996	B	`conf`	Extended Cascade-Correlation for Syntactic and Structural Pattern Recognition. SSPR Alessandro Sperduti, Darya Majidi, Antonina Starita
1995	J	`jnl`	Book Review: "Neural Network in Computer Intelligence", by LiMin Fu. Int. J. Neural Syst. Alessandro Sperduti
1995	A*	`conf`	Learning Distributed Representations for the Classification of Terms. IJCAI Alessandro Sperduti, Antonina Starita, Christoph Goller
1995	—	`conf`	Modular Labeling RAAM. ICANNGA Alessandro Sperduti, Antonina Starita
1995	J	`jnl`	Stability properties of labeling recursive auto-associative memory. IEEE Trans. Neural Networks Alessandro Sperduti
1994	—	`conf`	A Rapid Graph-based Method for Arbitrary Transformation-Invariant Pattern Classification. NIPS Alessandro Sperduti, David G. Stork
1994	—	`ed.`	ICLP 1994 Workshop W3: Logic and Reasoning with Neural Networks, Santa Margherita Ligure, Italy, June 1994 ICLP Workshop: Logic and Reasoning with Neural Networks Franz J. Kurfess, Alessandro Sperduti
1994	J	`jnl`	Labelling Recursive Auto-associative Memory. Connect. Sci. Alessandro Sperduti
1993	—	`conf`	Encoding Labeled Graphs by Labeling RAAM. NIPS Alessandro Sperduti
1993	J	`jnl`	Speed up learning and network optimization with extended back propagation. Neural Networks Alessandro Sperduti, Antonina Starita