Davide Bacciu

According to our database1, Davide Bacciu authored at least 79 papers between 2004 and 2019.

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Bibliography

2019
Learning From Humans How to Grasp: A Data-Driven Architecture for Autonomous Grasping With Anthropomorphic Soft Hands.
IEEE Robotics and Automation Letters, 2019

Bayesian mixtures of Hidden Tree Markov Models for structured data clustering.
Neurocomputing, 2019

A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks.
CoRR, 2019

Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models.
CoRR, 2019

Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI).
CoRR, 2019

Detecting Adversarial Examples through Nonlinear Dimensionality Reduction.
CoRR, 2019

Deep Tree Transductions - A Short Survey.
CoRR, 2019

An ambient intelligence approach for learning in smart robotic environments.
Computational Intelligence, 2019

Deep Tree Transductions - A Short Survey.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models.
Proceedings of the International Joint Conference on Neural Networks, 2019

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

Suitable Doesn't Mean Attractive. Human-Based Evaluation of Automatically Generated Headlines.
Proceedings of the Sixth Italian Conference on Computational Linguistics, 2019

2018
Generative Kernels for Tree-Structured Data.
IEEE Trans. Neural Netw. Learning Syst., 2018

Randomized neural networks for preference learning with physiological data.
Neurocomputing, 2018

DeepDynamicHand: A Deep Neural Architecture for Labeling Hand Manipulation Strategies in Video Sources Exploiting Temporal Information.
Front. Neurorobot., 2018

Linear Memory Networks.
CoRR, 2018

Text Summarization as Tree Transduction by Top-Down TreeLSTM.
CoRR, 2018

Learning Tree Distributions by Hidden Markov Models.
CoRR, 2018

Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing.
CoRR, 2018

Concentric ESN: Assessing the Effect of Modularity in Cycle Reservoirs.
CoRR, 2018

Bioinformatics and Medicine in the Era of Deep Learning.
CoRR, 2018

Text Summarization as Tree Transduction by Top-Down TreeLSTM.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Concentric ESN: Assessing the Effect of Modularity in Cycle Reservoirs.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing.
Proceedings of the 35th International Conference on Machine Learning, 2018

Bioinformatics and medicine in the era of deep learning.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Mixture of Hidden Markov Model as Tree Encoder.
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.
J. Reliable Intelligent Environments, 2017

An experience in using machine learning for short-term predictions in smart transportation systems.
J. Log. Algebr. Meth. Program., 2017

A learning system for automatic Berg Balance Scale score estimation.
Eng. Appl. of AI, 2017

Hidden Tree Markov Networks: Deep and Wide Learning for Structured Data.
CoRR, 2017

DropIn: Making Reservoir Computing Neural Networks Robust to Missing Inputs by Dropout.
CoRR, 2017

Hidden tree Markov networks: Deep and wide learning for structured data.
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.
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.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

ELM Preference Learning for Physiological Data.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Unsupervised feature selection for sensor time-series in pervasive computing applications.
Neural Computing and Applications, 2016

Adopting a Machine Learning Approach in the Design of Smart Transportation Systems.
ERCIM News, 2016

A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living.
Proceedings of the Ambient Intelligence - Software and Applications, 2016

Detecting Socialization Events in Ageing People: The Experience of the DOREMI Project.
Proceedings of the 12th International Conference on Intelligent Environments, 2016

LOL: An Investigation into Cybernetic Humor, or: Can Machines Laugh?.
Proceedings of the 8th International Conference on Fun with Algorithms, 2016

A reservoir activation kernel for trees.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Probabilistic Modeling in Machine Learning.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Robotic Ubiquitous Cognitive Ecology for Smart Homes.
Journal of Intelligent and Robotic Systems, 2015

A cognitive robotic ecology approach to self-configuring and evolving AAL systems.
Eng. Appl. of AI, 2015

Using a Machine Learning Approach to Implement and Evaluate Product Line Features.
Proceedings of the Proceedings 11th International Workshop on Automated Specification and Verification of Web Systems, 2015

ESNigma: efficient feature selection for echo state networks.
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.
Proceedings of the Progress in Artificial Intelligence, 2015

2014
An experimental characterization of reservoir computing in ambient assisted living applications.
Neural Computing and Applications, 2014

Integrating bi-directional contexts in a generative kernel for trees.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Learning context-aware mobile robot navigation in home environments.
Proceedings of the 5th International Conference on Information, 2014

Modeling Bi-directional Tree Contexts by Generative Transductions.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

An Iterative Feature Filter for Sensor Timeseries in Pervasive Computing Applications.
Proceedings of the Engineering Applications of Neural Networks, 2014

2013
Compositional Generative Mapping for Tree-Structured Data - Part II: Topographic Projection Model.
IEEE Trans. Neural Netw. Learning Syst., 2013

An input-output hidden Markov model for tree transductions.
Neurocomputing, 2013

Italian Machine Learning and Data Mining research: The last years.
Intelligenza Artificiale, 2013

Distributed Neural Computation over WSN in Ambient Intelligence.
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.
IEEE Trans. Neural Netw. Learning Syst., 2012

An Experimental Evaluation of Reservoir Computation for Ambient Assisted Living.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

A General Purpose Distributed Learning Model for Robotic Ecologies.
Proceedings of the 10th IFAC Symposium on Robot Control, SyRoCo 2012, Dubrovnik, Croatia, 2012


A Generative Multiset Kernel for Structured Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Input-Output Hidden Markov Models for trees.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Clustering of protein expression data: a benchmark of statistical and neural approaches.
Soft Comput., 2011

Adaptive tree kernel by multinomial generative topographic mapping.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Discovering Hidden Pathways in Bioinformatics.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011

2010
Adaptive fuzzy-valued service selection.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Compositional generative mapping of structured data.
Proceedings of the International Joint Conference on Neural Networks, 2010

Bottom-Up Generative Modeling of Tree-Structured Data.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

2009
Expansive competitive learning for kernel vector quantization.
Pattern Recognition Letters, 2009

Patient stratification with competing risks by multivariate Fisher distance.
Proceedings of the International Joint Conference on Neural Networks, 2009

Different Methodologies for Patient Stratification Using Survival Data.
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.
IEEE Trans. Neural Networks, 2008

Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics.
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.
Proceedings of the Mining and Learning with Graphs, 2007

A Robust Bio-Inspired Clustering Algorithm for the Automatic Determination of Unknown Cluster Number.
Proceedings of the International Joint Conference on Neural Networks, 2007

Convergence Behavior of Competitive Repetition-Suppression Clustering.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006
A Fuzzy Approach for Negotiating Quality of Services.
Proceedings of the Trustworthy Global Computing, Second Symposium, 2006

Competitive Repetition-suppression (CoRe) Learning.
Proceedings of the Artificial Neural Networks, 2006

2004
A RLWPR network for learning the internal model of an anthropomorphic robot arm.
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004


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