Davide Bacciu

Antonio Vergari

Proceedings of the International Joint Conference on Neural Networks, 2024

Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Temporal Graph ODEs for Irregularly-Sampled Time Series.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Long Range Propagation on Continuous-Time Dynamic Graphs.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Constraint-Free Structure Learning with Smooth Acyclic Orientations.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

TEACHING Platform for Human-Centric Autonomous Applications: Design and Overview.

[BibT_eX]

[DOI]

Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024

Calibration of Continual Learning Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

I Know How: Combining Prior Policies to Solve New Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, 2024

Random Oscillators Network for Time Series Processing.

[BibT_eX]

[DOI]

Andrea Ceni

Andrea Cossu

Maximilian W. Stölzle

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Quasi-Orthogonal ECG-Frank XYZ Transformation with Energy-Based Models and Clinical Text.

[BibT_eX]

[DOI]

Lorenzo Simone

Vincenzo Gervasi

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2023

Explaining Deep Graph Networks via Input Perturbation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Continual adaptation of federated reservoirs in pervasive environments.

[BibT_eX]

[DOI]

Valerio De Caro

Neurocomputing, November, 2023

Graph Neural Network for Context-Aware Recommendation.

[BibT_eX]

[DOI]

Asma Sattar

Neural Process. Lett., October, 2023

PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs.

[BibT_eX]

[DOI]

J. Open Source Softw., October, 2023

PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs.

[BibT_eX]

[DOI]

Dataset, October, 2023

Archival bundle of the code used for "Extending OpenStack Monasca for Predictive Elasticity Control".

[BibT_eX]

[DOI]

Dataset, June, 2023

Archival bundle of the code used for "A 2-phase Strategy For Intelligent Cloud Operations".

[BibT_eX]

[DOI]

Dataset, May, 2023

Archival bundle of the data used for "A 2-phase Strategy For Intelligent Cloud Operations".

[BibT_eX]

[DOI]

Dataset, May, 2023

Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes.

[BibT_eX]

[DOI]

Davide Morelli

Vlad Pandelea

IEEE Trans. Neural Networks Learn. Syst., April, 2023

ADLER - An efficient Hessian-based strategy for adaptive learning rate.

[BibT_eX]

[DOI]

Dario Balboni

CoRR, 2023

A 2-Phase Strategy for Intelligent Cloud Operations.

[BibT_eX]

[DOI]

IEEE Access, 2023

Safety and Robustness for Deep Neural Networks: An Automotive Use Case.

[BibT_eX]

[DOI]

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2023 Workshops, 2023

Neural Algorithmic Reasoning for Combinatorial Optimisation.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Automatic Music Transcription using Convolutional Neural Networks and Constant-Q Transform.

[BibT_eX]

[DOI]

Yohannis Telila

Tommaso Cucinotta

Proceedings of the Italia Intelligenza Artificiale, 2023

Graph-based Polyphonic Multitrack Music Generation.

[BibT_eX]

[DOI]

Emanuele Cosenza

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Dual Algorithmic Reasoning.

[BibT_eX]

[DOI]

Petar Velickovic

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Anti-Symmetric DGN: a stable architecture for Deep Graph Networks.

[BibT_eX]

[DOI]

Alessio Gravina

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Memory Population in Continual Learning via Outlier Elimination.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Prediction of Driver's Stress Affection in Simulated Autonomous Driving Scenarios.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

TEACHING: A Computing Toolkit for Building Efficient Autonomous appliCations Leveraging Humanistic INtelliGence.

[BibT_eX]

[DOI]

Anna Maria Anaxagorou

Patrizio Dazzi

Proceedings of the 3rd Workshop on Flexible Resource and Application Management on the Edge, 2023

A Tropical View of Graph Neural Networks.

[BibT_eX]

[DOI]

Francesco Landolfi

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Hidden Markov Models for Temporal Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

A Protocol for Continual Explanation of SHAP.

[BibT_eX]

[DOI]

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Improving Fairness via Intrinsic Plasticity in Echo State Networks.

[BibT_eX]

[DOI]

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Communication-Efficient Ridge Regression in Federated Echo State Networks.

[BibT_eX]

[DOI]

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Partial Hypernetworks for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2023

Class-Incremental Learning with Repetition.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2023

Causal Abstraction with Soft Interventions.

[BibT_eX]

[DOI]

Proceedings of the Conference on Causal Learning and Reasoning, 2023

ECGAN: Self-supervised Generative Adversarial Network for Electrocardiography.

[BibT_eX]

[DOI]

Lorenzo Simone

Proceedings of the Artificial Intelligence in Medicine, 2023

Generalizing Downsampling from Regular Data to Graphs.

[BibT_eX]

[DOI]

Alessio Conte

Francesco Landolfi

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Archival bundle of the code used for "Extending OpenStack Monasca for Predictive Elasticity Control".

[BibT_eX]

[DOI]

Dataset, May, 2022

Archival bundle of the code used for "A 2-phase Strategy For Intelligent Cloud Operations".

[BibT_eX]

[DOI]

Dataset, May, 2022

Archival bundle of the data used for "A 2-phase Strategy For Intelligent Cloud Operations".

[BibT_eX]

[DOI]

Dataset, May, 2022

Archival bundle of the data used for "Extending OpenStack Monasca for Predictive Elasticity Control".

[BibT_eX]

[DOI]

Dataset, January, 2022

Archival bundle of the code used for "Extending OpenStack Monasca for Predictive Elasticity Control".

[BibT_eX]

[DOI]

Dataset, January, 2022

Archival bundle of the data used for "Extending OpenStack Monasca for Predictive Elasticity Control".

[BibT_eX]

[DOI]

Dataset, January, 2022

A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques.

[BibT_eX]

[DOI]

Sensors, 2022

Learning With Few Examples the Semantic Description of Novel Human-Inspired Grasp Strategies From RGB Data.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with deep graph networks.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2022

Topographic mapping for quality inspection and intelligent filtering of smart-bracelet data.

[BibT_eX]

[DOI]

Gioele Bertoncini

Davide Morelli

Neural Comput. Appl., 2022

Inductive-transductive learning for very sparse fashion graphs.

[BibT_eX]

[DOI]

Neurocomputing, 2022

FADER: Fast adversarial example rejection.

[BibT_eX]

[DOI]

Neurocomputing, 2022

A tensor framework for learning in structured domains.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Is Class-Incremental Enough for Continual Learning?

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2022

Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2022

Graph Pooling with Maximum-Weight k-Independent Sets.

[BibT_eX]

[DOI]

Alessio Conte

Francesco Landolfi

CoRR, 2022

It's all About Consistency: A Study on Memory Composition for Replay-Based Methods in Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Studying the impact of magnitude pruning on contrastive learning methods.

[BibT_eX]

[DOI]

CoRR, 2022

Learning heuristics for A.

[BibT_eX]

[DOI]

Petar Velickovic

CoRR, 2022

Learning to Prevent Grasp Failure with Soft Hands: From Online Prediction to Dual-Arm Grasp Recovery.

[BibT_eX]

[DOI]

Adv. Intell. Syst., 2022

Continual-Learning-as-a-Service (CLaaS): On-Demand Efficient Adaptation of Predictive Models.

[BibT_eX]

[DOI]

Rudy Semola

Vincenzo Lomonaco

Proceedings of the Joint Proceedings of the 1st International Workshop on Computational Intelligence for Process Mining (CI4PM 2022) and the 1st International Workshop on Pervasive Artificial Intelligence (PAI 2022), 2022

Deep Reinforcement Learning Quantum Control on IBMQ Platforms and Qiskit Pulse.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Knowledge-Driven Interpretation of Convolutional Neural Networks.

[BibT_eX]

[DOI]

Riccardo Massidda

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

Leveraging Relational Information for Learning Weakly Disentangled Representations.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Sample Condensation in Online Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

The Infinite Contextual Graph Markov Model.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Practical Recommendations for Replay-Based Continual Learning Methods.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Avalanche RL: A Continual Reinforcement Learning Library.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Modular Representations for Weak Disentanglement.

[BibT_eX]

[DOI]

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Continual Incremental Language Learning for Neural Machine Translation.

[BibT_eX]

[DOI]

Michele Resta

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Continual Learning for Human State Monitoring.

[BibT_eX]

[DOI]

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Federated Adaptation of Reservoirs via Intrinsic Plasticity.

[BibT_eX]

[DOI]

Valerio De Caro

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Deep Learning for Graphs.

[BibT_eX]

[DOI]

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Learning Image Captioning as a Structured Transduction Task.

[BibT_eX]

[DOI]

Davide Serramazza

Proceedings of the Engineering Applications of Neural Networks, 2022

Ex-Model: Continual Learning from a Stream of Trained Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Deep Features for CBIR with Scarce Data using Hebbian Learning.

[BibT_eX]

[DOI]

Proceedings of the CBMI 2022: International Conference on Content-based Multimedia Indexing, Graz, Austria, September 14, 2022

An Empirical Verification of Wide Networks Theory.

[BibT_eX]

[DOI]

Dario Balboni

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Archival bundle of the code used for "Predictive Auto-scaling with OpenStack Monasca" (UCC 2021).

[BibT_eX]

[DOI]

Dataset, October, 2021

Archival bundle of the code used for "Predictive Auto-scaling with OpenStack Monasca" (UCC 2021).

[BibT_eX]

[DOI]

Dataset, October, 2021

Archival bundle of the data used for "Predictive Auto-scaling with OpenStack Monasca" (UCC 2021).

[BibT_eX]

[DOI]

Dataset, October, 2021

Continual learning for recurrent neural networks: An empirical evaluation.

[BibT_eX]

[DOI]

Neural Networks, 2021

Encoding-based memory for recurrent neural networks.

[BibT_eX]

[DOI]

Neurocomputing, 2021

AI & COVID-19.

[BibT_eX]

[DOI]

Intelligenza Artificiale, 2021

The CLAIRE COVID-19 initiative: approach, experiences and recommendations.

[BibT_eX]

[DOI]

Ethics Inf. Technol., 2021

Supporting Privacy Preservation by Distributed and Federated Learning on the Edge.

[BibT_eX]

[DOI]

Patrizio Dazzi

Alberto Gotta

ERCIM News, 2021

Occlusion-Based Explanations in Deep Recurrent Models for Biomedical Signals.

[BibT_eX]

[DOI]

Michele Resta

Anna Monreale

Entropy, 2021

K-plex cover pooling for graph neural networks.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2021

A causal learning framework for the analysis and interpretation of COVID-19 clinical data.

[BibT_eX]

[DOI]

CoRR, 2021

Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-loss.

[BibT_eX]

[DOI]

Elisa Ferrari

CoRR, 2021

MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Avalanche: an End-to-End Library for Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2021

Distilled Replay: Overcoming Forgetting Through Synthetic Samples.

[BibT_eX]

[DOI]

Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021

Predictive auto-scaling with OpenStack Monasca.

[BibT_eX]

[DOI]

Proceedings of the UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6, 2021

Dynamic Context in Graph Neural Networks for Item Recommendation.

[BibT_eX]

[DOI]

Asma Sattar

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Dependable Integration Concepts for Human-Centric AI-Based Systems.

[BibT_eX]

[DOI]

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops, 2021

Context-Aware Graph Convolutional Autoencoder.

[BibT_eX]

[DOI]

Asma Sattar

Proceedings of the Advances in Computational Intelligence, 2021

Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2021

Federated Reservoir Computing Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Graphgen-redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Modeling Edge Features with Deep Bayesian Graph Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Graph Mixture Density Networks.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Calliope - A Polyphonic Music Transformer.

[BibT_eX]

[DOI]

Stefano Berti

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Inductive learning for product assortment graph completion.

[BibT_eX]

[DOI]

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Continual Learning with Echo State Networks.

[BibT_eX]

[DOI]

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Deep learning for graphs.

[BibT_eX]

[DOI]

Filippo Maria Bianchi

Benjamin Paassen

Cesare Alippi

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Avalanche: An End-to-End Library for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Omni-Layer Intelligent Systems, 2021

2020

Augmenting Recurrent Neural Networks Resilience by Dropout.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

A gentle introduction to deep learning for graphs.

[BibT_eX]

[DOI]

Neural Networks, 2020

Probabilistic Learning on Graphs via Contextual Architectures.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2020

Edge-based sequential graph generation with recurrent neural networks.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Explaining Deep Graph Networks with Molecular Counterfactuals.

[BibT_eX]

[DOI]

CoRR, 2020

Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization.

[BibT_eX]

[DOI]

CoRR, 2020

Generative Tomography Reconstruction.

[BibT_eX]

[DOI]

Matteo Ronchetti

CoRR, 2020

Accelerating the identification of informative reduced representations of proteins with deep learning for graphs.

[BibT_eX]

[DOI]

CoRR, 2020

Tensor Decompositions in Recursive NeuralNetworks for Tree-Structured Data.

[BibT_eX]

[DOI]

CoRR, 2020

Encoding-based Memory Modules for Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2020

Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI).

[BibT_eX]

[DOI]

Elisa Ferrari

Alessandra Retico

Artif. Intell. Medicine, 2020

ROS-Neuro Integration of Deep Convolutional Autoencoders for EEG Signal Compression in Real-time BCIs.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Incremental Training of a Recurrent Neural Network Exploiting a Multi-scale Dynamic Memory.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Continual Learning with Gated Incremental Memories for sequential data processing.

[BibT_eX]

[DOI]

Andrea Cossu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Generalising Recursive Neural Models by Tensor Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Fair Comparison of Graph Neural Networks for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Biochemical Pathway Robustness Prediction with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Theoretically Expressive and Edge-aware Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Perplexity-free Parametric t-SNE.

[BibT_eX]

[DOI]

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data.

[BibT_eX]

[DOI]

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Tensor Decompositions in Deep Learning.

[BibT_eX]

[DOI]

Danilo P. Mandic

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Learning from Non-Binary Constituency Trees via Tensor Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

A Deep Generative Model for Fragment-Based Molecule Generation.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Learning From Humans How to Grasp: A Data-Driven Architecture for Autonomous Grasping With Anthropomorphic Soft Hands.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

Bayesian mixtures of Hidden Tree Markov Models for structured data clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Detecting Adversarial Examples through Nonlinear Dimensionality Reduction.

[BibT_eX]

[DOI]

Battista Biggio

CoRR, 2019

An ambient intelligence approach for learning in smart robotic environments.

[BibT_eX]

[DOI]

Comput. Intell., 2019

Sequential Sentence Embeddings for Semantic Similarity.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Deep Learning for Graphs.

[BibT_eX]

[DOI]

Proceedings of the Recent Trends in Learning From Data, 2019

Deep Tree Transductions - A Short Survey.

[BibT_eX]

[DOI]

Antonio Bruno

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Linear Memory Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Detecting Black-box Adversarial Examples through Nonlinear Dimensionality Reduction.

[BibT_eX]

[DOI]

Battista Biggio

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Graph generation by sequential edge prediction.

[BibT_eX]

[DOI]

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Societal Issues in Machine Learning: When Learning from Data is Not Enough.

[BibT_eX]

[DOI]

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Suitable Doesn't Mean Attractive. Human-Based Evaluation of Automatically Generated Headlines.

[BibT_eX]

[DOI]

Proceedings of the Sixth Italian Conference on Computational Linguistics, 2019

A Non-negative Factorization Approach to Node Pooling in Graph Convolutional Neural Networks.

[BibT_eX]

[DOI]

Luigi Di Sotto

Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

2018

Generative Kernels for Tree-Structured Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Randomized neural networks for preference learning with physiological data.

[BibT_eX]

[DOI]

Neurocomputing, 2018

DeepDynamicHand: A Deep Neural Architecture for Labeling Hand Manipulation Strategies in Video Sources Exploiting Temporal Information.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, 2018

Learning Tree Distributions by Hidden Markov Models.

[BibT_eX]

[DOI]

CoRR, 2018

Text Summarization as Tree Transduction by Top-Down TreeLSTM.

[BibT_eX]

[DOI]

Antonio Bruno

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Concentric ESN: Assessing the Effect of Modularity in Cycle Reservoirs.

[BibT_eX]

[DOI]

Andrea Bongiorno

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Bioinformatics and medicine in the era of deep learning.

[BibT_eX]

[DOI]

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Mixture of Hidden Markov Model as Tree Encoder.

[BibT_eX]

[DOI]

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Reliability and human factors in Ambient Assisted Living environments - The DOREMI case study.

[BibT_eX]

[DOI]

J. Reliab. Intell. Environ., 2017

An experience in using machine learning for short-term predictions in smart transportation systems.

[BibT_eX]

[DOI]

J. Log. Algebraic Methods Program., 2017

A learning system for automatic Berg Balance Scale score estimation.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2017

Hidden tree Markov networks: Deep and wide learning for structured data.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

On the need of machine learning as a service for the internet of things.

[BibT_eX]

[DOI]

Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017

DropIn: Making reservoir computing neural networks robust to missing inputs by dropout.

[BibT_eX]

[DOI]

Davide Morelli

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

ELM Preference Learning for Physiological Data.

[BibT_eX]

[DOI]

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Indoor User Movement Prediction from RSS data.

[BibT_eX]

[DOI]

Dataset, February, 2016

Unsupervised feature selection for sensor time-series in pervasive computing applications.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2016

Adopting a Machine Learning Approach in the Design of Smart Transportation Systems.

[BibT_eX]

[DOI]

ERCIM News, 2016

A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living.

[BibT_eX]

[DOI]

Proceedings of the Ambient Intelligence - Software and Applications, 2016

Detecting Socialization Events in Ageing People: The Experience of the DOREMI Project.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Intelligent Environments, 2016

LOL: An Investigation into Cybernetic Humor, or: Can Machines Laugh?.

[BibT_eX]

[DOI]

Vincenzo Gervasi

Giuseppe Prencipe

Proceedings of the 8th International Conference on Fun with Algorithms, 2016

A reservoir activation kernel for trees.

[BibT_eX]

[DOI]

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Probabilistic Modeling in Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Springer Handbook of Computational Intelligence, 2015

Robotic Ubiquitous Cognitive Ecology for Smart Homes.

[BibT_eX]

[DOI]

J. Intell. Robotic Syst., 2015

A cognitive robotic ecology approach to self-configuring and evolving AAL systems.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2015

Using a Machine Learning Approach to Implement and Evaluate Product Line Features.

[BibT_eX]

[DOI]

Stefania Gnesi

Laura Semini

Proceedings of the Proceedings 11th International Workshop on Automated Specification and Verification of Web Systems, 2015

ESNigma: efficient feature selection for echo state networks.

[BibT_eX]

[DOI]

Filippo Benedetti

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Smart Environments and Context-Awareness for Lifestyle Management in a Healthy Active Ageing Framework.

[BibT_eX]

[DOI]

Proceedings of the Progress in Artificial Intelligence, 2015

2014

An experimental characterization of reservoir computing in ambient assisted living applications.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2014

Integrating bi-directional contexts in a generative kernel for trees.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Learning context-aware mobile robot navigation in home environments.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Information, 2014

Modeling Bi-directional Tree Contexts by Generative Transductions.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 21st International Conference, 2014

An Iterative Feature Filter for Sensor Timeseries in Pervasive Computing Applications.

[BibT_eX]

[DOI]

Proceedings of the Engineering Applications of Neural Networks, 2014

2013

Compositional Generative Mapping for Tree-Structured Data - Part II: Topographic Projection Model.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

An input-output hidden Markov model for tree transductions.

[BibT_eX]

[DOI]

Neurocomputing, 2013

Italian Machine Learning and Data Mining research: The last years.

[BibT_eX]

[DOI]

Intelligenza Artificiale, 2013

Efficient identification of independence networks using mutual information.

[BibT_eX]

[DOI]

Comput. Stat., 2013

Distributed Neural Computation over WSN in Ambient Intelligence.

[BibT_eX]

[DOI]

Proceedings of the Ambient Intelligence - Software and Applications, 2013

2012

Compositional Generative Mapping for Tree-Structured Data - Part I: Bottom-Up Probabilistic Modeling of Trees.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2012

An Experimental Evaluation of Reservoir Computation for Ambient Assisted Living.

[BibT_eX]

[DOI]

Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

A General Purpose Distributed Learning Model for Robotic Ecologies.

[BibT_eX]

[DOI]

Proceedings of the 10th IFAC Symposium on Robot Control, SyRoCo 2012, Dubrovnik, Croatia, 2012

Self-sustaining Learning for Robotic Ecologies.

[BibT_eX]

Proceedings of the SENSORNETS 2012, 2012

A Generative Multiset Kernel for Structured Data.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Input-Output Hidden Markov Models for trees.

[BibT_eX]

[DOI]

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

Clustering of protein expression data: a benchmark of statistical and neural approaches.

[BibT_eX]

[DOI]

Ian H. Jarman

Terence A. Etchells

Jonathan M. Garibaldi

Ian O. Ellis

Paulo J. G. Lisboa

Soft Comput., 2011

Adaptive tree kernel by multinomial generative topographic mapping.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Discovering Hidden Pathways in Bioinformatics.

[BibT_eX]

[DOI]

Jonathan M. Garibaldi

Sandra Ortega-Martorell

Alfredo Vellido

Ian O. Ellis

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011

2010

Adaptive fuzzy-valued service selection.

[BibT_eX]

[DOI]

Maria Grazia Buscemi

Lusine Mkrtchyan

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Compositional generative mapping of structured data.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

Bottom-Up Generative Modeling of Tree-Structured Data.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

2009

Expansive competitive learning for kernel vector quantization.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2009

Patient stratification with competing risks by multivariate Fisher distance.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2009

Different Methodologies for Patient Stratification Using Survival Data.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009

2008

Competitive Repetition Suppression (CoRe) Clustering: A Biologically Inspired Learning Model With Application to Robust Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2008

Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

2007

Augmenting the Distributed Evaluation of Path Queries on Data-Graphs with Information Granules.

[BibT_eX]

[DOI]

Alessio Botta

Dan C. Stefanescu

Proceedings of the Mining and Learning with Graphs, 2007

A Robust Bio-Inspired Clustering Algorithm for the Automatic Determination of Unknown Cluster Number.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2007

Convergence Behavior of Competitive Repetition-Suppression Clustering.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006

A Fuzzy Approach for Negotiating Quality of Services.

[BibT_eX]

[DOI]

Alessio Botta

Hernán C. Melgratti

Proceedings of the Trustworthy Global Computing, Second Symposium, 2006

Competitive Repetition-suppression (CoRe) Learning.

[BibT_eX]

[DOI]