Francesco Palmieri

Orcid: 0000-0003-3777-3501

Affiliations:
  • Universitá degli Studi della Campania Luigi Vanvitelli, Aversa, Italy
  • University of Connecticut, Storrs, CT, USA (1987 - 1992)
  • University of Connecticut, Newark, DE, USA (PhD 1987)


According to our database1, Francesco Palmieri authored at least 127 papers between 1985 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
HUM-CARD: A human crowded annotated real dataset.
Inf. Syst., 2024

A Deep Learning Approach for User-Centric Clustering in Cell-Free Massive MIMO Systems.
Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

2023
Fusion of energy sensors with missing values.
Appl. Intell., October, 2023

Threshold Determination for False Track Probability in the Multipath ML-PMHT.
IEEE Trans. Aerosp. Electron. Syst., August, 2023

Belief Propagation of Pareto Front in Multi-Objective MDP Graphs.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Path Planning of Multiple Agents Through Probability Flow.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

2022
A Unifying View of Estimation and Control Using Belief Propagation With Application to Path Planning.
IEEE Access, 2022

Split-word Architecture in Recurrent Neural Networks POS-Tagging.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Considerations about learning Word2Vec.
J. Supercomput., 2021

Optimized realization of Bayesian networks in reduced normal form using latent variable model.
Soft Comput., 2021

A Unified View of Algorithms for Path Planning Using Probabilistic Inference on Factor Graphs.
CoRR, 2021

2020
Probing a Deep Neural Network.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Linear Artificial Forces for Human Dynamics in Complex Contexts.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Context Analysis Using a Bayesian Normal Graph.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

Path Planning Using Probability Tensor Flows.
CoRR, 2020

2019
A Conflict Detection Method for Ellipsoidal Safety Regions.
IEEE Trans. Aerosp. Electron. Syst., 2019

Measurement Extraction for Two Closely-Spaced Objects Using an Imaging Sensor.
IEEE Trans. Aerosp. Electron. Syst., 2019

Information-Preserving Networks And The Mirrored Transform.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

2018
Multiple Ornstein-Uhlenbeck Processes for Maritime Traffic Graph Representation.
IEEE Trans. Aerosp. Electron. Syst., 2018

Long-term path prediction in urban scenarios using circular distributions.
Image Vis. Comput., 2018

Computational Optimization for Normal Form Realization of Bayesian Model graphs.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Unsupervised Maritime Traffic Graph Learning with Mean-Reverting Stochastic Processes.
Proceedings of the 21st International Conference on Information Fusion, 2018

2017
The Multidimensional Cramér-Rao-Leibniz Lower Bound for Likelihood Functions With Parameter-Dependent Support.
IEEE Trans. Aerosp. Electron. Syst., 2017

Emerging Trends in Machine Learning for Signal Processing.
Comput. Intell. Neurosci., 2017

An Analysis of Word2Vec for the Italian Language.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Intent Classification in Question-Answering Using LSTM Architectures.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Multidimensional Cramér-Rao-Leibniz lower bound for vector-measurement-based likelihood functions with parameter-dependent support.
Proceedings of the 20th International Conference on Information Fusion, 2017

2016
3-D Hand Pose Estimation from Kinect's Point Cloud Using Appearance Matching.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

Bayesian Clustering on Images with Factor Graphs in Reduced Normal Form.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

A Hidden Markov Model-Based Approach to Grasping Hand Gestures Classification.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

A Comparison of Algorithms for Learning Hidden Variables in Bayesian Factor Graphs in Reduced Normal Form.
IEEE Trans. Neural Networks Learn. Syst., 2016

Bayesian Analysis of Behaviors and Interactions for Situation Awareness in Transportation Systems.
IEEE Trans. Intell. Transp. Syst., 2016

3-D Hand Pose Estimation from Kinect's Point Cloud Using Appearance Matching.
CoRR, 2016

Point-based path prediction from polar histograms.
Proceedings of the 19th International Conference on Information Fusion, 2016

Knowledge Transfer for Scene-Specific Motion Prediction.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Application of Bayesian Techniques to Behavior Analysis in Maritime Environments.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Simulink Implementation of Belief Propagation in Normal Factor Graphs.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Target tracking using factor graphs and multi-camera systems.
IEEE Trans. Aerosp. Electron. Syst., 2015

Towards Building Deep Networks with Bayesian Factor Graphs.
CoRR, 2015

Discrete independent component analysis (DICA) with belief propagation.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Two-dimensional multi-layer Factor Graphs in Reduced Normal Form.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Semantic Cross-View Matching.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2014
A multi-camera Multi-Target Tracker based on Factor Graphs.
Proceedings of the 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, 2014

Abnormal vessel behavior detection in port areas based on Dynamic Bayesian Networks.
Proceedings of the 17th International Conference on Information Fusion, 2014

Belief propagation and learning in convolution multi-layer factor graphs.
Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

Application of factor graphs to multi-camera fusion for maritime tracking.
Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

Online Bayesian learning and classification of ship-to-ship interactions for port safety.
Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014

2013
On the Performance of Energy-Division Multiple Access Over Fading Channels.
Wirel. Pers. Commun., 2013

Learning Non-Linear Functions With Factor Graphs.
IEEE Trans. Signal Process., 2013

Low-complexity dominance-based sphere decoder for MIMO systems.
Signal Process., 2013

Objective priors from maximum entropy in data classification.
Inf. Fusion, 2013

A Comparison of Algorithms for Learning Hidden Variables in Normal Graphs.
CoRR, 2013

Data Fusion Using a Factor Graph for Ship Tracking in Harbour Scenarios.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

Real-Time Estimation of Planar Surfaces in Arbitrary Environments Using Microsoft Kinect Sensor.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

2012
On the Performance of Energy-Division Multiple Access with Regular Constellations.
Wirel. Pers. Commun., 2012

Probability Learning and Soft Quantization in Bayesian Factor Graphs.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

Mobile sensor networks based on autonomous platforms for homeland security.
Proceedings of the Tyrrhenian Workshop on Advances in Radar and Remote Sensing, 2012

2011
From Examples to Bayesian Inference.
Proceedings of the Neural Nets WIRN11, 2011

Gain design and power allocation for overloaded MIMO-OFDM systems with channel state information and iterative multiuser detection.
Proceedings of the 8th International Symposium on Wireless Communication Systems, 2011

Entropic priors for short-term stochastic process classification.
Proceedings of the 14th International Conference on Information Fusion, 2011

Distributed classification of multiple moving targets with binary wireless sensor networks.
Proceedings of the 14th International Conference on Information Fusion, 2011

2010
Data Fusion with Entropic Priors.
Proceedings of the Neural Nets WIRN10, 2010

Tree-search ML detection for underdetermined MIMO systems with M-PSK constellations.
Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, 2010

Building a bayesian factor tree from examples.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2009
Notes on Cutset Conditioning on Factor Graphs with Cycles.
Proceedings of the Neural Nets WIRN09, 2009

A tree-search algorithm for ML decoding in underdetermined MIMO systems.
Proceedings of the 2009 6th International Symposium on Wireless Communication Systems, 2009

2008
On time diversity for packet channels.
Comput. Commun., 2008

Internet traffic modeling by means of Hidden Markov Models.
Comput. Networks, 2008

Notes on Factor Graphs.
Proceedings of the New Directions in Neural Networks, 2008

A jitter model for OFDM systems.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

2007
Distributed Linear Block Coding for Cooperative Wireless Communications.
IEEE Signal Process. Lett., 2007

A Scheme for Multiuser Communications based on Energy Division.
Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007

On Asymptotic Efficiency for Asynchronous CDMA.
Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007

A New Design Paradigm for MIMO Dispersive Channel DF Equalizer.
Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007

2006
Joint end-to-end loss-delay hidden Markov model for periodic UDP traffic over the Internet.
IEEE Trans. Signal Process., 2006

An HMM Approach to Internet Traffic Modeling.
Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006

An Energy-Division Multiple Access Scheme.
Proceedings of the 9th International Conference on Information Fusion, 2006

Bidirectional MIMO equalizer design.
Proceedings of the 14th European Signal Processing Conference, 2006

Asymptotic multiuser efficiency in overloaded CDMA.
Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006

2005
Optimal correlating transform for erasure channels.
IEEE Signal Process. Lett., 2005

Soft iterative decoding for overloaded CDMA.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

End-to-end packet-channel Bayesian model applied to heterogeneous wireless networks.
Proceedings of the Global Telecommunications Conference, 2005. GLOBECOM '05, St. Louis, Missouri, USA, 28 November, 2005

2004
Internet loss-delay modeling by use of input/output hidden Markov models.
Proceedings of the IEEE 6th Workshop on Multimedia Signal Processing, 2004

HMM-Based Monitoring of Packet Channels.
Proceedings of the High Speed Networks and Multimedia Communications, 2004

Prosody modification and Fujisaki's model: Preserving natural soundness.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

Multiple description image coder using correlating transforms.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Bayesian Modelling for Packet Channels.
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

Multi-class Image Coding via EM-KLT Algorithm.
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

Inversion of F<sub>0</sub> model for natural-sounding speech synthesis.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Noncausal filters: possible implementations and their complexity.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Generalized Independent Component Analysis as Density Estimation.
Proceedings of the Neural Nets, 13th Italian Workshop on Neural Nets, 2002

A Comparison of Signal Compression Methods by Sparse Solution of Linear Systems.
Proceedings of the Neural Nets, 13th Italian Workshop on Neural Nets, 2002

Efficient sparse FIR filter design.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
An algorithm for transform coding for lossy packet networks.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Unsupervised Rank-Deficient Density Estimation via Multi-Class Independent Component Analysis.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Inhibitory synapses in neural networks with sigmoidal nonlinearities.
IEEE Trans. Neural Networks, 1999

Simple and robust methods for support vector expansions.
IEEE Trans. Neural Networks, 1999

An explicit algorithm for training support vector machines.
IEEE Signal Process. Lett., 1999

Independent component analysis for mixture densities.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

Generalized support vector machines.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998
Authors' Reply.
IEEE Trans. Neural Networks, 1998

Comments on "Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space. I. Basic properties of selection and mutation" [and reply].
IEEE Trans. Neural Networks, 1998

Self-association in multilayer linear networks with limited connectivity.
Neural Networks, 1998

Searching for a binary factorial code using the ICA framework.
Neurocomputing, 1998

Adaptive nonlinear filtering with the support vector method.
Proceedings of the 9th European Signal Processing Conference, 1998

1997
Principal components via cascades of block-layers.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

New bounds for correct generalization.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1995
Self-association and Hebbian learning in linear neural networks.
IEEE Trans. Neural Networks, 1995

1994
Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space. Part II: Analysis of the diversification role of crossover.
IEEE Trans. Neural Networks, 1994

Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space. Part I: Basic properties of selection and mutation.
IEEE Trans. Neural Networks, 1994

1993
Analysis of Wide-Band Cross Correlation for Time-Delay Estimation.
IEEE Trans. Signal Process., 1993

Anti-Hebbian learning in topologically constrained linear networks: a tutorial.
IEEE Trans. Neural Networks, 1993

Classifying mammographic lesions using computerized image analysis.
IEEE Trans. Medical Imaging, 1993

The Diversification Role of Crossover in the Genetic Algorithms.
Proceedings of the 5th International Conference on Genetic Algorithms, 1993

1992
Optimal filtering algorithms for fast learning in feedforward neural networks.
Neural Networks, 1992

Analyses of the genetic algorithms in the continuous space.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991
Adaptive channel equalization using generalized order statistic filters.
Proceedings of the 1991 International Conference on Acoustics, 1991

Analysis of wide-band cross-correlation for target detection and time delay estimation.
Proceedings of the 1991 International Conference on Acoustics, 1991

1990
Frequency analysis and synthesis of a class of nonlinear filters.
IEEE Trans. Acoust. Speech Signal Process., 1990

MEKA - a fast, local algorithm for training feedforward neural networks.
Proceedings of the IJCNN 1990, 1990

Adaptive recursive order statistic filters.
Proceedings of the 1990 International Conference on Acoustics, 1990

1989
Ll-filters-a new class of order statistic filters.
IEEE Trans. Acoust. Speech Signal Process., 1989

A new algorithm for training multilayer perceptrons.
Proceedings of the IEEE International Conference on Systems, 1989

A backpropagation algorithm for multilayer hybrid order statistic filters.
Proceedings of the IEEE International Conference on Acoustics, 1989

1988
A class of nonlinear adaptive filters.
Proceedings of the IEEE International Conference on Acoustics, 1988

1986
Sampling theorem for polynomial interpolation.
IEEE Trans. Acoust. Speech Signal Process., 1986

1985
Window functions obtained from B-S.
Proceedings of the IEEE International Conference on Acoustics, 1985


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