172 results on '"Navarin, Nicolò"'
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2. Economic Recommender Systems -- A Systematic Review
3. RGCVAE: Relational Graph Conditioned Variational Autoencoder for Molecule Design
4. An Explainable Decision Support System for Predictive Process Analytics
5. Object-centric Process Predictive Analytics
6. Model-based approaches to profit-aware recommendation
7. Investigating over-parameterized randomized graph networks
8. Simple Graph Convolutional Networks
9. An Untrained Neural Model for Fast and Accurate Graph Classification
10. Economic recommender systems – a systematic review
11. Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing
12. Conditional Constrained Graph Variational Autoencoders for Molecule Design
13. A Systematic Assessment of Deep Learning Models for Molecule Generation
14. Explainable Predictive Process Monitoring
15. A systematic review of value-aware recommender systems
16. On the problem of recommendation for sensitive users and influential items: Simultaneously maintaining interest and diversity
17. On Filter Size in Graph Convolutional Networks
18. Pre-training Graph Neural Networks with Kernels
19. Object-centric process predictive analytics
20. Beyond the Additive Nodes' Convolutions: a Study on High-Order Multiplicative Integration
21. Polynomial-based graph convolutional neural networks for graph classification
22. LSTM Networks for Data-Aware Remaining Time Prediction of Business Process Instances
23. Introduction
24. Towards learning trustworthily, automatically, and with guarantees on graphs: An overview
25. SOM-based aggregation for graph convolutional neural networks
26. Detecting deception through facial expressions in a dataset of videotaped interviews: A comparison between human judges and machine learning models
27. Deep fair models for complex data: Graphs labeling and explainable face recognition
28. Idiopathic and acquired pedophilia as two distinct disorders: an insight from neuroimaging
29. Advances in artificial neural networks, machine learning and computational intelligence
30. Graph Kernels exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions
31. A tree-based kernel for graphs with continuous attributes
32. Ordered Decompositional DAG Kernels Enhancements
33. An Empirical Study on Budget-Aware Online Kernel Algorithms for Streams of Graphs
34. Extending local features with contextual information in graph kernels
35. A framework for the definition of complex structured feature spaces
36. A unified framework for backpropagation-free soft and hard gated graph neural networks
37. Women and Gender Disparities in Computer Science: A Case Study at the University of Padua
38. Introduction
39. Multilayer Graph Node Kernels: Stacking While Maintaining Convexity
40. An explainable decision support system for predictive process analytics
41. Hyper-Parameter Tuning for Graph Kernels via Multiple Kernel Learning
42. Graph Representation Learning
43. An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features
44. Graph Kernels Exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions
45. Machine Learning and MADIT methodology for the fake news identification: the persuasion index
46. Machine Learning and MADIT methodology for the fake news identification: the persuasion index
47. Compact graph neural network models for node classification
48. Deep Learning for Graphs
49. Biased Edge Dropout in NIFTY for Fair Graph Representation Learning
50. Hyper-Parameter Tuning for Graph Kernels via Multiple Kernel Learning
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