Davide Bacciu

Enrico Prati

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

Claudio Gallicchio

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

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]

Danilo Numeroso

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]

Danilo Numeroso

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]

Claudio Gallicchio

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]