Indro Spinelli

According to our database, Indro Spinelli authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Meta-Learning Approach for Training Explainable Graph Neural Networks.

Indro Spinelli, Simone Scardapane, Aurelio Uncini

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Machine Un-learning: An Overview of Techniques, Applications, and Future Directions.

Siva Sai, Uday Mittal, Vinay Chamola, Kaizhu Huang, Indro Spinelli, Simone Scardapane, Zhiyuan Tan, Amir Hussain

Cogn. Comput., March, 2024

Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence.

Vikas Hassija, Vinay Chamola, Atmesh Mahapatra, Abhinandan Singal, Divyansh Goel, Kaizhu Huang, Simone Scardapane, Indro Spinelli, Mufti Mahmud, Amir Hussain

Cogn. Comput., January, 2024

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.

Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane

CoRR, 2024

Adaptive Point Transformer.

Alessandro Baiocchi, Indro Spinelli, Alessandro Nicolosi, Simone Scardapane

CoRR, 2024

2023

Drop edges and adapt: A fairness enforcing fine-tuning for graph neural networks.

Indro Spinelli, Riccardo Bianchini, Simone Scardapane

Neural Networks, October, 2023

Reidentification of Objects From Aerial Photos With Hybrid Siamese Neural Networks.

Alessio Devoto, Indro Spinelli, Francesca Murabito, Fabrizio Chiovoloni, Riccardo Musmeci, Simone Scardapane

IEEE Trans. Ind. Informatics, March, 2023

GATSY: Graph Attention Network for Music Artist Similarity.

Andrea Giuseppe Di Francesco, Giuliano Giampietro, Indro Spinelli, Danilo Comminiello

CoRR, 2023

From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module.

Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo

CoRR, 2023

Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability.

Indro Spinelli, Michele Guerra, Filippo Maria Bianchi, Simone Scardapane

CoRR, 2023

ICML 2023 Topological Deep Learning Challenge: Design and Results.

Mathilde Papillon, Mustafa Hajij, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou, Aldo Guzmán-Sáenz, Bastian Rieck, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane

Proceedings of the Topological, 2023

Explainability in subgraphs-enhanced Graph Neural Networks.

Michele Guerra, Indro Spinelli, Simone Scardapane, Filippo Maria Bianchi

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

ArcheoWeedNet: Weed Classification in the Parco archeologico del Colosseo.

Gaetano Saurio, Marco Muscas, Indro Spinelli, Valerio Rughetti, Irma Della Giovampaola, Simone Scardapane

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

2022

FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning.

Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini

IEEE Trans. Artif. Intell., 2022

2021

Distributed Training of Graph Convolutional Networks.

Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo

IEEE Trans. Signal Inf. Process. over Networks, 2021

Adaptive Propagation Graph Convolutional Network.

Indro Spinelli, Simone Scardapane, Aurelio Uncini

IEEE Trans. Neural Networks Learn. Syst., 2021

Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning.

Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini

CoRR, 2021

2020

Missing data imputation with adversarially-trained graph convolutional networks.

Indro Spinelli, Simone Scardapane, Aurelio Uncini

Neural Networks, 2020

Distributed Graph Convolutional Networks.

Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo

CoRR, 2020

2017

Efficient Data Augmentation Using Graph Imputation Neural Networks.

Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017