Daniele Castellana

21 papers A* 1B 6Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BN-Pool: Bayesian Nonparametric Pooling for Graphs. Trans. Mach. Learn. Res. Daniele Castellana, Filippo Maria Bianchi
2026	J	`jnl`	Predictive modeling of biogeographical ancestry using a novel SNP panel and supervised learning approaches. Expert Syst. Appl. Cosimo Grazzini, Giorgia Spera, Stefania Morelli, Daniele Castellana, Giulia Cosenza, Michela Baccini, Giulia Cereda, Elena Pilli
2025	J	`jnl`	BN-Pool: a Bayesian Nonparametric Approach to Graph Pooling. CoRR Daniele Castellana, Filippo Maria Bianchi
2024	B	`conf`	Lying Graph Convolution: Learning to Lie for Node Classification Tasks. IJCNN Daniele Castellana
2024	J	`jnl`	Lying Graph Convolution: Learning to Lie for Node Classification Tasks. CoRR Daniele Castellana
2023	—	`conf`	CD-IMM: The Benefits of Domain-based Mixture Models in Bayesian Continual Learning. CLAI Unconf Daniele Castellana, Antonio Carta, Davide Bacciu
2023	J	`jnl`	Investigating the Interplay between Features and Structures in Graph Learning. CoRR Daniele Castellana, Federico Errica
2022	J	`jnl`	A tensor framework for learning in structured domains. Neurocomputing Daniele Castellana, Davide Bacciu
2022	A*	`conf`	The Infinite Contextual Graph Markov Model. ICML Daniele Castellana, Federico Errica, Davide Bacciu, Alessio Micheli
2021	—	`—`	A Tensor Framework for Learning in Structured Domains. Daniele Castellana
2020	B	`conf`	Generalising Recursive Neural Models by Tensor Decomposition. IJCNN Daniele Castellana, Davide Bacciu
2020	J	`jnl`	Generalising Recursive Neural Models by Tensor Decomposition. CoRR Daniele Castellana, Davide Bacciu
2020	B	`conf`	Learning from Non-Binary Constituency Trees via Tensor Decomposition. COLING Daniele Castellana, Davide Bacciu
2020	J	`jnl`	Learning from Non-Binary Constituency Trees via Tensor Decomposition. CoRR Daniele Castellana, Davide Bacciu
2020	B	`conf`	Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data. ESANN Daniele Castellana, Davide Bacciu
2020	J	`jnl`	Tensor Decompositions in Recursive NeuralNetworks for Tree-Structured Data. CoRR Daniele Castellana, Davide Bacciu
2019	B	`conf`	Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models. IJCNN Daniele Castellana, Davide Bacciu
2019	J	`jnl`	Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models. CoRR Daniele Castellana, Davide Bacciu
2019	J	`jnl`	Bayesian mixtures of Hidden Tree Markov Models for structured data clustering. Neurocomputing Davide Bacciu, Daniele Castellana
2018	J	`jnl`	Learning Tree Distributions by Hidden Markov Models. CoRR Davide Bacciu, Daniele Castellana
2018	B	`conf`	Mixture of Hidden Markov Model as Tree Encoder. ESANN Davide Bacciu, Daniele Castellana