Alessandro Sperduti

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 99

Top Venues

Publications

Paolo Frazzetto, Luca Pasa, Nicolò Navarin, Alessandro Sperduti
Beyond the Additive Nodes' Convolutions: a Study on High-Order Multiplicative Integration. SAC (2024)
Luca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti
A unified framework for backpropagation-free soft and hard gated graph neural networks. Knowl. Inf. Syst. 66 (4) (2024)
Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies. LREC/COLING (2024)
Muhammad Uzair-Ul-Haq, Paolo Frazzetto, Alessandro Sperduti, Giovanni Da San Martino
Improving Soft Skill Extraction via Data Augmentation and Embedding Manipulation. SAC (2024)
Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
A Neural Rewriting System to Solve Algorithmic Problems. CoRR (2024)
Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models. CoRR (2024)
Giovanni Donghi, Luca Pasa, Luca Oneto, Claudio Gallicchio, Alessio Micheli, Davide Anguita, Alessandro Sperduti, Nicolò Navarin
Investigating over-parameterized randomized graph networks. Neurocomputing 606 (2024)
Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies. CoRR (2024)
Luca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti
Empowering Simple Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
A Hybrid System for Systematic Generalization in Simple Arithmetic Problems. CoRR (2023)
Paolo Frazzetto, Luca Pasa, Nicolò Navarin, Alessandro Sperduti
Topology preserving maps as aggregations for Graph Convolutional Neural Networks. SAC (2023)
Paolo Frazzetto, Muhammad Uzair-Ul-Haq, Alessandro Sperduti
Enhancing Human Resources through Data Science: a Case in Recruiting. itaDATA (2023)
Davide Rigoni, Nicolò Navarin, Alessandro Sperduti
RGCVAE: Relational Graph Conditioned Variational Autoencoder for Molecule Design. CoRR (2023)
Davide Rigoni, Luca Parolari, Luciano Serafini, Alessandro Sperduti, Lamberto Ballan
Weakly-Supervised Visual-Textual Grounding with Semantic Prior Refinement. CoRR (2023)
Davide Rigoni, Luca Parolari, Luciano Serafini, Alessandro Sperduti, Lamberto Ballan
Weakly-Supervised Visual-Textual Grounding with Semantic Prior Refinement. BMVC (2023)
Leonardo Amato, Marta Maschietto, Alessandro Leparulo, Mattia Tambaro, Stefano Vassanelli, Alessandro Sperduti
Real-time Detection of Evoked Potentials by Deep Learning: a Case Study. ESANN (2023)
Nicolò Navarin, Luca Pasa, Luca Oneto, Alessandro Sperduti
An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features. ESANN (2023)
Flavio Petruzzellis, Alberto Testolin, Alessandro Sperduti
A Hybrid System for Systematic Generalization in Simple Arithmetic Problems. NeSy (2023)
Luca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti
Backpropagation-free Graph Neural Networks. ICDM (2022)
Marco Gori, Alessandro Sperduti, Piero P. Bonissone
Conference Report on 2022 IEEE World Congress on Computational Intelligence (IEEE WCCI 2022). IEEE Comput. Intell. Mag. 17 (4) (2022)
Luca Pasa, Nicolò Navarin, Alessandro Sperduti
Multiresolution Reservoir Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Luca Pasa, Nicolò Navarin, Alessandro Sperduti
Polynomial-based graph convolutional neural networks for graph classification. Mach. Learn. 111 (4) (2022)
Luca Pasa, Nicolò Navarin, Alessandro Sperduti
Compact graph neural network models for node classification. SAC (2022)
Luca Pasa, Nicolò Navarin, Alessandro Sperduti
SOM-based aggregation for graph convolutional neural networks. Neural Comput. Appl. 34 (1) (2022)
Davide Rigoni, Luciano Serafini, Alessandro Sperduti
A better loss for visual-textual grounding. SAC (2022)
Federico Caldart, Luca Pasa, Luca Oneto, Alessandro Sperduti, Nicolò Navarin
Biased Edge Dropout in NIFTY for Fair Graph Representation Learning. ESANN (2022)
Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Luca Demetrio, Pietro Bongini, Armando Tacchella, Alessandro Sperduti
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview. Neurocomputing 493 (2022)
Shahi Dost, Luciano Serafini, Marco Rospocher, Lamberto Ballan, Alessandro Sperduti
Aligning and linking entity mentions in image, text, and knowledge base. Data Knowl. Eng. 138 (2022)
Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Alessandro Sperduti
Complex Data: Learning Trustworthily, Automatically, and with Guarantees. ESANN (2021)
Yunrui Guo, Guglielmo Camporese, Wenjing Yang, Alessandro Sperduti, Lamberto Ballan
Conditional Variational Capsule Network for Open Set Recognition. CoRR (2021)
Valeria Orso, Daniele Verì, Riccardo Minato, Alessandro Sperduti, Luciano Gamberini
Are Professional Kitchens Ready for Dummies? A Comparative Usability Evaluation Between Expert and Non-expert Users. HCI (3) (2021)
Luca Pasa, Nicolò Navarin, Alessandro Sperduti
Tangent Graph Convolutional Network. ESANN (2021)
Davide Rigoni, Luciano Serafini, Alessandro Sperduti
A Better Loss for Visual-Textual Grounding. CoRR (2021)
Luca Pasa, Nicolò Navarin, Alessandro Sperduti
Simple Multi-resolution Gated GNN. SSCI (2021)
Yunrui Guo, Guglielmo Camporese, Wenjing Yang, Alessandro Sperduti, Lamberto Ballan
Conditional Variational Capsule Network for Open Set Recognition. ICCV (2021)
Antonio Carta, Alessandro Sperduti, Davide Bacciu
Encoding-based memory for recurrent neural networks. Neurocomputing 456 (2021)
Luca Pasa, Nicolò Navarin, Wolfgang Erb, Alessandro Sperduti
Simple Graph Convolutional Networks. CoRR (2021)
Nicolò Navarin, Dinh Tran-Van, Alessandro Sperduti
A framework for the definition of complex structured feature spaces. Neurocomputing 416 (2020)
Antonio Carta, Alessandro Sperduti, Davide Bacciu
Encoding-based Memory Modules for Recurrent Neural Networks. CoRR (2020)
Shahi Dost, Luciano Serafini, Marco Rospocher, Lamberto Ballan, Alessandro Sperduti
On Visual-Textual-Knowledge Entity Linking. ICSC (2020)
Dinh Van Tran, Alessandro Sperduti, Rolf Backofen, Fabrizio Costa
Heterogeneous networks integration for disease-gene prioritization with node kernels. Bioinform. 36 (9) (2020)
Luca Pasa, Nicolò Navarin, Alessandro Sperduti
Deep Recurrent Graph Neural Networks. ESANN (2020)
Antonio Carta, Alessandro Sperduti, Davide Bacciu
Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization. CoRR (2020)
Antonio Carta, Alessandro Sperduti, Davide Bacciu
Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory. CoRR (2020)
Davide Rigoni, Nicolò Navarin, Alessandro Sperduti
Conditional Constrained Graph Variational Autoencoders for Molecule Design. CoRR (2020)
Shahi Dost, Luciano Serafini, Marco Rospocher, Lamberto Ballan, Alessandro Sperduti
Jointly Linking Visual and Textual Entity Mentions with Background Knowledge. NLDB (2020)
Luca Oneto, Kerstin Bunte, Alessandro Sperduti
Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing 416 (2020)
Davide Rigoni, Nicolò Navarin, Alessandro Sperduti
A Systematic Assessment of Deep Learning Models for Molecule Generation. CoRR (2020)
Nicolò Navarin, Matteo Cambiaso, Andrea Burattin, Fabrizio Maria Maggi, Luca Oneto, Alessandro Sperduti
Towards Online Discovery of Data-Aware Declarative Process Models from Event Streams. IJCNN (2020)
Manuel Dorado-Moreno, Nicolò Navarin, Pedro Antonio Gutiérrez, Luis Prieto, Alessandro Sperduti, Sancho Salcedo-Sanz, César Hervás-Martínez
Multi-task learning for the prediction of wind power ramp events with deep neural networks. Neural Networks 123 (2020)
Shahi Dost, Luciano Serafini, Marco Rospocher, Lamberto Ballan, Alessandro Sperduti
VTKEL: a resource for visual-textual-knowledge entity linking. SAC (2020)
Davide Rigoni, Nicolò Navarin, Alessandro Sperduti
A Systematic Assessment of Deep Learning Models for Molecule Generation. ESANN (2020)
Davide Rigoni, Nicolò Navarin, Alessandro Sperduti
Conditional Constrained Graph Variational Autoencoders for Molecule Design. SSCI (2020)
Shahi Dost, Luciano Serafini, Marco Rospocher, Lamberto Ballan, Alessandro Sperduti
VT-LINKER: Visual-Textual-Knowledge Entity Linker. ECAI (2020)
Nicolò Navarin, Dinh Van Tran, Alessandro Sperduti
Learning Kernel-Based Embeddings in Graph Neural Networks. ECAI (2020)
Nicolò Navarin, Wolfgang Erb, Luca Pasa, Alessandro Sperduti
Linear Graph Convolutional Networks. ESANN (2020)
Antonio Carta, Alessandro Sperduti, Davide Bacciu
Incremental Training of a Recurrent Neural Network Exploiting a Multi-scale Dynamic Memory. ECML/PKDD (1) (2020)
Valeria Orso, Alessandro Sperduti, Luciano Gamberini
Integrating kitchen appliances to improve food quality and sustainability: the SIAF project. PETRA (2019)
Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti
Embeddings and Representation Learning for Structured Data. CoRR (2019)
Anna A. Kalenkova, Andrea Burattin, Massimiliano de Leoni, Wil M. P. van der Aalst, Alessandro Sperduti
Discovering high-level BPMN process models from event data. Bus. Process. Manag. J. 25 (5) (2019)
Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli, Alessandro Moschitti
Efficient Online Learning for Mapping Kernels on Linguistic Structures. AAAI (2019)
Nicolò Navarin, Dinh Van Tran, Alessandro Sperduti
Universal Readout for Graph Convolutional Neural Networks. IJCNN (2019)
Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti
Embeddings and Representation Learning for Structured Data. ESANN (2019)
Nicolò Navarin, Dinh Van Tran, Alessandro Sperduti
On the definition of complex structured feature spaces. ESANN (2019)
Davide Bacciu, Antonio Carta, Alessandro Sperduti
Linear Memory Networks. ICANN (1) (2019)
Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
Introduction. INNSBDDL (Tutorials) (2019)
Luca Oneto, Nicolò Navarin, Michele Donini, Sandro Ridella, Alessandro Sperduti, Fabio Aiolli, Davide Anguita
Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (2018)
Dinh Van Tran, Nicolò Navarin, Alessandro Sperduti
On Filter Size in Graph Convolutional Networks. CoRR (2018)
Davide Bacciu, Antonio Carta, Alessandro Sperduti
Linear Memory Networks. CoRR (2018)
Nicolò Navarin, Giovanni Da San Martino, Alessandro Sperduti
Extreme Graph Kernels for Online Learning on a Memory Budget. IJCNN (2018)
Nicolò Navarin, Dinh Van Tran, Alessandro Sperduti
Pre-training Graph Neural Networks with Kernels. CoRR (2018)
Dinh Van Tran, Nicolò Navarin, Alessandro Sperduti
On Filter Size in Graph Convolutional Networks. SSCI (2018)
Dinh Tran-Van, Nicolò Navarin, Alessandro Sperduti
DEEP: decomposition feature enhancement procedure for graphs. ESANN (2018)
Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa
The conjunctive disjunctive graph node kernel for disease gene prioritization. Neurocomputing 298 (2018)
Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti
Tree-Based Kernel for Graphs With Continuous Attributes. IEEE Trans. Neural Networks Learn. Syst. 29 (7) (2018)
Mirko Polato, Alessandro Sperduti, Andrea Burattin, Massimiliano de Leoni
Time and activity sequence prediction of business process instances. Computing 100 (9) (2018)
Guido Zampieri, Dinh Tran-Van, Michele Donini, Nicolò Navarin, Fabio Aiolli, Alessandro Sperduti, Giorgio Valle
Scuba: scalable kernel-based gene prioritization. BMC Bioinform. 19 (1) (2018)
Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
Multilayer Graph Node Kernels: Stacking While Maintaining Convexity. Neural Process. Lett. 48 (2) (2018)
Davide Bacciu, Alessio Micheli, Alessandro Sperduti
Generative Kernels for Tree-Structured Data. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (2018)
Nicolò Navarin, Beatrice Vincenzi, Mirko Polato, Alessandro Sperduti
LSTM Networks for Data-Aware Remaining Time Prediction of Business Process Instances. CoRR (2017)
Nicolò Navarin, Alessandro Sperduti
Approximated Neighbours MinHash Graph Node Kernel. ESANN (2017)
Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
Deep graph node kernels: A convex approach. IJCNN (2017)
Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa
Link Enrichment for Diffusion-Based Graph Node Kernels. ICANN (2) (2017)
Valerio Grossi, Alessandro Sperduti
A kernel-based ensemble classifier for evolving stream of trees with double concept drifting reaction. IJCNN (2017)
Luca Oneto, Nicolò Navarin, Michele Donini, Alessandro Sperduti, Fabio Aiolli, Davide Anguita
Measuring the expressivity of graph kernels through Statistical Learning Theory. Neurocomputing 268 (2017)
Nicolò Navarin, Beatrice Vincenzi, Mirko Polato, Alessandro Sperduti
LSTM networks for data-aware remaining time prediction of business process instances. SSCI (2017)
Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa
The Conjunctive Disjunctive Node Kernel. ESANN (2017)
Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa
Joint Neighborhood Subgraphs Link Prediction. ICONIP (1) (2017)
Luca Pasa, Alessandro Sperduti, Peter Tiño
Linear dynamical based models for sequential domains. IJCNN (2017)
Alberto Testolin, Ivilin Stoianov, Alessandro Sperduti, Marco Zorzi
Learning Orthographic Structure With Sequential Generative Neural Networks. Cogn. Sci. 40 (3) (2016)
Hossein Fereidooni, Mauro Conti, Danfeng Yao, Alessandro Sperduti
ANASTASIA: ANdroid mAlware detection using STatic analySIs of Applications. NTMS (2016)
Luca Pasa, Alessandro Sperduti
Learning Sequential Data with the Help of Linear Systems. ANNPR (2016)
Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti
An empirical study on budget-aware online kernel algorithms for streams of graphs. Neurocomputing 216 (2016)
Andrea Burattin, Fabrizio Maria Maggi, Alessandro Sperduti
Conformance checking based on multi-perspective declarative process models. Expert Syst. Appl. 65 (2016)
Carlo M. Massimo, Nicolò Navarin, Alessandro Sperduti
Hyper-Parameter Tuning for Graph Kernels via Multiple Kernel Learning. ICONIP (2) (2016)
Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti
Ordered Decompositional DAG kernels enhancements. Neurocomputing 192 (2016)
Mirko Polato, Alessandro Sperduti, Andrea Burattin, Massimiliano de Leoni
Time and Activity Sequence Prediction of Business Process Instances. CoRR (2016)
Luca Oneto, Nicolò Navarin, Michele Donini, Alessandro Sperduti, Fabio Aiolli, Davide Anguita
Measuring the Expressivity of Graph Kernels through the Rademacher Complexity. ESANN (2016)
Plamen Angelov, Alessandro Sperduti
Challenges in Deep Learning. ESANN (2016)
Andrea Burattin, Fabrizio Maria Maggi, Alessandro Sperduti
Conformance Checking Based on Multi-Perspective Declarative Process Models. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alessandro Sperduti