Francesco Marcelloni

Orcid: 0000-0002-5895-876X

Affiliations:
  • University of Pisa, Italy


According to our database1, Francesco Marcelloni authored at least 202 papers between 1996 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Explainable Intrusion Detection System in IoT Scenarios: A Cross-Device Model Training and Evaluation for Traffic Classification.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023
Enabling federated learning of explainable AI models within beyond-5G/6G networks.
Comput. Commun., October, 2023

OpenFL-XAI: Federated learning of explainable artificial intelligence models in Python.
SoftwareX, July, 2023

A System to Support Readers in Automatically Acquiring Complete Summarized Information on an Event from Different Sources.
Algorithms, 2023

The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G.
IEEE Access, 2023

Data Platform Guidelines and Prototype for Microgrids and Energy Access: Matching Demand Profiles and Socio-Economic Data to Foster Project Development.
IEEE Access, 2023

Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson's Disease Progression.
Proceedings of the Explainable Artificial Intelligence, 2023

Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks.
Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023

Trustworthy AI for Next Generation Networks: the Fed-XAI innovative paradigm from the Hexa-X EU Flagship Project.
Proceedings of the Italia Intelligenza Artificiale, 2023

Experimental Assessment of Heterogeneous Fuzzy Regression Trees.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

An Explainable Intrusion Detection System for IoT Networks.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

An Application for Federated Learning of XAI Models in Edge Computing Environments.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

MULTI-Fake-DetectiVE at EVALITA 2023: Overview of the MULTImodal Fake News Detection and VErification Task.
Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023), 2023

2022
A News-Based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting.
ACM Trans. Knowl. Discov. Data, 2022

TSF-DBSCAN: A Novel Fuzzy Density-Based Approach for Clustering Unbounded Data Streams.
IEEE Trans. Fuzzy Syst., 2022

In-context annotation of topic-oriented datasets of fake news: A case study on the notre-dame fire event.
Inf. Sci., 2022

Federated Learning of Explainable AI Models in 6G Systems: Towards Secure and Automated Vehicle Networking.
Inf., 2022

Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks.
Proceedings of the First Workshop on Online Learning from Uncertain Data Streams (OLUD 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI 2022), 2022

Towards Trustworthy AI for QoE prediction in B5G/6G Networks.
Proceedings of the Short Paper Proceedings of the First International Workshop on Artificial Intelligence in Beyond 5G and 6G Wireless Networks (AI6G 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI2022), 2022

Leveraging Sequence Mining for Robot Process Automation.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Increasing Accuracy and Explainability in Fuzzy Regression Trees: An Experimental Analysis.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

An Approach to Federated Learning of Explainable Fuzzy Regression Models.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Online Monitoring of Stance from Tweets: The case of Green Pass in Italy.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 2022

Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models.
Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28, 2022

2021
Fuzzy Hoeffding Decision Tree for Data Stream Classification.
Int. J. Comput. Intell. Syst., 2021

Stance Analysis of Twitter Users: The Case of the Vaccination Topic in Italy.
IEEE Intell. Syst., 2021

On the use of summarization and transformer architectures for profiling résumés.
Expert Syst. Appl., 2021

Addressing Event-Driven Concept Drift in Twitter Stream: A Stance Detection Application.
IEEE Access, 2021

A federated fuzzy c-means clustering algorithm.
Proceedings of WILF 2021, 2021

Mining the Stream of News for City Areas Profiling: a Case Study for the City of Rome.
Proceedings of the IEEE International Conference on Smart Computing, 2021

Implicitly distributed fuzzy random forests.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

XAI Models for Quality of Experience Prediction in Wireless Networks.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020
An overview of recent distributed algorithms for learning fuzzy models in Big Data classification.
J. Big Data, 2020

An analysis of boosted ensembles of binary fuzzy decision trees.
Expert Syst. Appl., 2020

A System for Multi-Passenger Urban Ridesharing Recommendations with Ordered Multiple Stops.
Comput. J., 2020

SK-MOEFS: A Library in Python for Designing Accurate and Explainable Fuzzy Models.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

FDBSCAN-APT: A Fuzzy Density-based Clustering Algorithm with Automatic Parameter Tuning.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Exploiting Categorization of Online News for Profiling City Areas.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

UNIPI-NLE at CheckThat! 2020: Approaching Fact Checking from a Sentence Similarity Perspective Through the Lens of Transformers.
Proceedings of the Working Notes of CLEF 2020, 2020

2019
A survey on fake news and rumour detection techniques.
Inf. Sci., 2019

Comparing ensemble strategies for deep learning: An application to facial expression recognition.
Expert Syst. Appl., 2019

Monitoring the public opinion about the vaccination topic from tweets analysis.
Expert Syst. Appl., 2019

Optimizing Partition Granularity, Membership Function Parameters, and Rule Bases of Fuzzy Classifiers for Big Data by a Multi-objective Evolutionary Approach.
Cogn. Comput., 2019

Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?
IEEE Comput. Intell. Mag., 2019

Exploiting Online Newspaper Articles Metadata for Profiling City Areas.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

A Data-Driven Approach to Automatic Extraction of Professional Figure Profiles from Résumés.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

A Fuzzy Density-based Clustering Algorithm for Streaming Data.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Incremental Learning of Fuzzy Decision Trees for Streaming Data Classification.
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019

Theoretical and Practical Analyses in Metagenomic Sequence Classification.
Proceedings of the Database and Expert Systems Applications, 2019

2018
On Distributed Fuzzy Decision Trees for Big Data.
IEEE Trans. Fuzzy Syst., 2018

A Distributed Fuzzy Associative Classifier for Big Data.
IEEE Trans. Cybern., 2018

Building efficient fuzzy regression trees for large scale and high dimensional problems.
J. Big Data, 2018

Journal Track Chairs' Welcome & Organization.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Smart Profiling of City Areas Based on Web Data.
Proceedings of the 2018 IEEE International Conference on Smart Computing, 2018

Assessing Accuracy of Ensemble Learning for Facial Expression Recognition with CNNs.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018

2017
Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification.
IEEE Trans. Fuzzy Syst., 2017

A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data.
Inf. Sci., 2017

Detection of traffic congestion and incidents from GPS trace analysis.
Expert Syst. Appl., 2017

A novel approach for internet traffic classification based on multi-objective evolutionary fuzzy classifiers.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Multi-objective evolutionary granular rule-based classifiers: An experimental comparison.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Multi-class boosting with fuzzy decision trees.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
A MapReduce solution for associative classification of big data.
Inf. Sci., 2016

On the influence of feature selection in fuzzy rule-based regression model generation.
Inf. Sci., 2016

Spreading fuzzy random forests with MapReduce.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Incident Detection by Spatiotemporal Analysis of GPS Data.
Proceedings of the 2016 IEEE International Conference on Smart Computing, 2016

Path Clustering Based on a Novel Dissimilarity Function for Ride-Sharing Recommenders.
Proceedings of the 2016 IEEE International Conference on Smart Computing, 2016

Solving the environmental economic dispatch problem with prohibited operating zones in microgrids using NSGA-II and TOPSIS.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

A Multi-objective evolutionary fuzzy system for big data.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Real-Time Detection of Traffic From Twitter Stream Analysis.
IEEE Trans. Intell. Transp. Syst., 2015

A novel associative classification model based on a fuzzy frequent pattern mining algorithm.
Expert Syst. Appl., 2015

Improving Wi-Fi Based Localization Using External Constraints.
Proceedings of the 9th International Conference on Next Generation Mobile Applications, 2015

A new approach to fuzzy random forest generation.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

A MapReduce-based fuzzy associative classifier for big data.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014
Low-Effort Support to Efficient Urban Parking in a Smart City Perspective.
Proceedings of the Advances onto the Internet of Things, 2014

Adaptive Lossless Entropy Compressors for Tiny IoT Devices.
IEEE Trans. Wirel. Commun., 2014

A Novel Approach Based on Finite-State Machines with Fuzzy Transitions for Nonintrusive Home Appliance Monitoring.
IEEE Trans. Ind. Informatics, 2014

Special issue on sensing and mobility in pervasive computing.
J. Ambient Intell. Humaniz. Comput., 2014

Genetic interval neural networks for granular data regression.
Inf. Sci., 2014

A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers.
Inf. Sci., 2014

A multi-agent system for enabling collaborative situation awareness via position-based stigmergy and neuro-fuzzy learning.
Neurocomputing, 2014

An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets.
Neurocomputing, 2014

‘U-Sense', A Cooperative Sensing System for Monitoring Air Quality in Urban Areas.
ERCIM News, 2014

2013
Exploiting Multi-Objective Evolutionary Algorithms for Designing Energy-Efficient Solutions to Data Compression and Node Localization in Wireless Sensor Networks.
Proceedings of the Evolutionary Based Solutions for Green Computing, 2013

A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off.
Knowl. Based Syst., 2013

A collaborative situation-aware scheme based on an emergent paradigm for mobile resource recommenders.
J. Ambient Intell. Humaniz. Comput., 2013

An efficient multi-objective evolutionary fuzzy system for regression problems.
Int. J. Approx. Reason., 2013

Reconfiguration of environmental data compression parameters through cognitive IoT technologies.
Proceedings of the 9th IEEE International Conference on Wireless and Mobile Computing, 2013

Feature Selection Based on Fuzzy Mutual Information.
Proceedings of the Fuzzy Logic and Applications - 10th International Workshop, 2013

Evolutionary fuzzy classifiers for imbalanced datasets: An experimental comparison.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

A mobile application leveraging QR-codes to support efficient urban parking.
Proceedings of the Sustainable Internet and ICT for Sustainability, 2013

Urban and social sensing for sustainable mobility in smart cities.
Proceedings of the Sustainable Internet and ICT for Sustainability, 2013

2012
Enabling Traceability in the Wine Supply Chain.
Proceedings of the Methodologies and Technologies for Networked Enterprises, 2012

Genetic Training Instance Selection in Multiobjective Evolutionary Fuzzy Systems: A Coevolutionary Approach.
IEEE Trans. Fuzzy Syst., 2012

An efficient model-based methodology for developing device-independent mobile applications.
J. Syst. Archit., 2012

An adaptive rule-based approach for managing situation-awareness.
Expert Syst. Appl., 2012

A two-objective evolutionary approach based on topological constraints for node localization in wireless sensor networks.
Appl. Soft Comput., 2012

An algorithm based on finite state machines with fuzzy transitions for non-intrusive load disaggregation.
Proceedings of the Sustainable Internet and ICT for Sustainability, 2012

A case study on the application of instance selection techniques for Genetic Fuzzy Rule-Based Classifiers.
Proceedings of the FUZZ-IEEE 2012, 2012

Multi-objective evolutionary rule and condition selection for designing fuzzy rule-based classifiers.
Proceedings of the FUZZ-IEEE 2012, 2012

2011
Learning knowledge bases of multi-objective evolutionary fuzzy systems by simultaneously optimizing accuracy, complexity and partition integrity.
Soft Comput., 2011

Learning concurrently data and rule bases of Mamdani fuzzy rule-based systems by exploiting a novel interpretability index.
Soft Comput., 2011

Computer-aided detection of lung nodules based on decision fusion techniques.
Pattern Anal. Appl., 2011

Autonomic tracing of production processes with mobile and agent-based computing.
Inf. Sci., 2011

On reducing computational overhead in multi-objective genetic Takagi-Sugeno fuzzy systems.
Appl. Soft Comput., 2011

Multi-objective Evolutionary Fuzzy Systems.
Proceedings of the Fuzzy Logic and Applications - 9th International Workshop, 2011

Granular Data Regression with Neural Networks.
Proceedings of the Fuzzy Logic and Applications - 9th International Workshop, 2011

Solving the node localization problem in WSNs by a two-objective evolutionary algorithm and local descent.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

An Effective Metaheuristic Approach to Node Localization in Wireless Sensor Networks.
Proceedings of the IEEE 8th International Conference on Mobile Adhoc and Sensor Systems, 2011

A study on the application of different two-objective evolutionary algorithms to the node localization problem in wireless sensor networks.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

An intelligent system for detecting faults in photovoltaic fields.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

A collaborative situation-aware scheme for mobile service recommendation.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

An intelligent system for electrical energy management in buildings.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

A WSN-based testbed for energy efficiency in buildings.
Proceedings of the 16th IEEE Symposium on Computers and Communications, 2011

Multi-objective evolutionary generation of Mamdani fuzzy rule-based systems based on rule and condition selection.
Proceedings of the 5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2011

A new approach to handle high dimensional and large datasets in multi-objective evolutionary fuzzy systems.
Proceedings of the FUZZ-IEEE 2011, 2011

2010
Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets.
Soft Comput., 2010

Enabling energy-efficient and lossy-aware data compression in wireless sensor networks by multi-objective evolutionary optimization.
Inf. Sci., 2010

Guest Editors' Introduction.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2010

A Situation-Aware Resource Recommender Based on Fuzzy and Semantic Web Rules.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2010

Special Issue on Advances in Intelligent Systems.
Int. J. Hybrid Intell. Syst., 2010

A two-objective evolutionary approach to design lossy compression algorithms for tiny nodes of wireless sensor networks.
Evol. Intell., 2010

A multi-objective evolutionary approach to image quality/compression trade-off in JPEG baseline algorithm.
Appl. Soft Comput., 2010

Using context history to personalize a resource recommender via a genetic algorithm.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Exploiting a coevolutionary approach to concurrently select training instances and learn rule bases of Mamdani fuzzy systems.
Proceedings of the FUZZ-IEEE 2010, 2010

Exploiting a three-objective evolutionary algorithm for generating Mamdani fuzzy rule-based systems.
Proceedings of the FUZZ-IEEE 2010, 2010

Combining Fuzzy Logic and Semantic Web to Enable Situation-Awareness in Service Recommendation.
Proceedings of the Database and Expert Systems Applications, 21st International Conference, 2010

2009
A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-Based Systems.
IEEE Trans. Fuzzy Syst., 2009

Context adaptation of fuzzy systems through a multi-objective evolutionary approach based on a novel interpretability index.
Soft Comput., 2009

Using multilayer perceptrons as receptive fields in the design of neural networks.
Neurocomputing, 2009

Morphogenetic approach to system identification.
Int. J. Intell. Syst., 2009

Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework.
Int. J. Approx. Reason., 2009

Multi-objective evolutionary learning of granularity, membership function parameters and rules of Mamdani fuzzy systems.
Evol. Intell., 2009

An Efficient Lossless Compression Algorithm for Tiny Nodes of Monitoring Wireless Sensor Networks.
Comput. J., 2009

A Multi-objective Evolutionary Approach to Data Compression in Wireless Sensor Networks.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Situation-Aware Mobile Service Recommendation with Fuzzy Logic and Semantic Web.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Exploiting a New Interpretability Index in the Multi-Objective Evolutionary Learning of Mamdani Fuzzy Rule-Based Systems.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Using BPMN and Tracing for Rapid Business Process Prototyping Environments.
Proceedings of the ICEIS 2009, 2009

A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Learning Concurrently Granularity, Membership Function Parameters and Rules of Mamdani Fuzzy Rule-based Systems.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008
Solving the ocean color inverse problem by using evolutionary multi-objective optimization of neuro-fuzzy systems.
Int. J. Knowl. Based Intell. Eng. Syst., 2008

Patterns and technologies for enabling supply chain traceability through collaborative e-business.
Inf. Softw. Technol., 2008

Context adaptation of mamdani fuzzy rule based systems.
Int. J. Intell. Syst., 2008

A Simple Algorithm for Data Compression in Wireless Sensor Networks.
IEEE Commun. Lett., 2008

Reducing Power Consumption in Wireless Sensor Networks Using a Novel Approach to Data Aggregation.
Comput. J., 2008

Complexity reduction of Mamdani Fuzzy Systems through multi-valued logic minimization.
Proceedings of the IEEE International Conference on Systems, 2008

Fast Multiobjective Genetic Rule Learning Using an Efficient Method for Takagi-Sugeno Fuzzy Systems Identification.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

A Multi-Objective Genetic Approach to Concurrently Learn Partition Granularity and Rule Bases of Mamdani Fuzzy Systems.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

A Multi-Classifier System for Pulmonary Nodule Classification.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

2007
A Hierarchical Fuzzy Clustering-based System to Create User Profiles.
Soft Comput., 2007

A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems.
Soft Comput., 2007

Estimating the concentration of optically active constituents of sea water by Takagi-Sugeno models with quadratic rule consequents.
Pattern Recognit., 2007

Modelling a Team of Radiologists for Lung Nodule Detection in CT Scans.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Evolutionary Multi-Objective Optimization of Fuzzy Rule-Based Classifiers in the ROC Space.
Proceedings of the FUZZ-IEEE 2007, 2007

Exploiting Fuzzy Ordering Relations to Preserve Interpretability in Context Adaptation of Fuzzy Systems.
Proceedings of the FUZZ-IEEE 2007, 2007

A new multi-objective evolutionary algorithm based on convex hull for binary classifier optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
A novel approach to fuzzy clustering based on a dissimilarity relation extracted from data using a TS system.
Pattern Recognit., 2006

Combining supervised and unsupervised learning for data clustering.
Neural Comput. Appl., 2006

A fuzzy system for profiling web portal users from web access log.
J. Intell. Fuzzy Syst., 2006

Context Adaptation of Mamdani Fuzzy Systems through New Operators Tuned by a Genetic Algorithm.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
A new fuzzy relational clustering algorithm based on the fuzzy C-means algorithm.
Soft Comput., 2005

Identification of Takagi-Sugeno Fuzzy Systems Based on Multi-objective Genetic Algorithms.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

Cerere: an information system supporting traceability in the food supply chain.
Proceedings of the 7th IEEE International Conference on E-Commerce Technology Workshops (CEC 2005 Workshops), 2005

Integrating service-oriented technologies to support business processes.
Proceedings of the 7th IEEE International Conference on E-Commerce Technology Workshops (CEC 2005 Workshops), 2005

A General Framework for Food Traceability.
Proceedings of the 2005 IEEE/IPSJ International Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops), 31 January, 2005

Segmentation and reconstruction of the lung volume in CT images.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

Automated Detection of Pulmonary Nodules in CT Scans.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004
A fuzzy relational clustering algorithm based on a dissimilarity measure extracted from data.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Approaching the ocean color problem using fuzzy rules.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Fuzzy logic-based object-oriented methods to reduce quantization error and contextual bias problems in software development.
Fuzzy Sets Syst., 2004

On the Noise Distance in Robust Fuzzy C-Means.
Proceedings of the International Conference on Computational Intelligence, 2004

Lung Nodule Detection in CT Scans.
Proceedings of the International Conference on Computational Intelligence, 2004

Neural network-based calibration of positron emission tomograph detector modules.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003
Feature selection based on a modified fuzzy C-means algorithm with supervision.
Inf. Sci., 2003

A system based on hierarchical fuzzy clustering for web users profiling.
Proceedings of the IEEE International Conference on Systems, 2003

Relational clustering based on a dissimilarity relation extracted from data by a TS model.
Proceedings of the IEEE International Conference on Systems, 2003

An Artificial Olfactory System for Quality and Geographical Discrimination of Olive Oils.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

A system based on a modified version of the FCM algorithm for profiling web users from access log.
Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003

2002
A fuzzy model for the retrieval of the sea water optically active constituents concentration from MERIS data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

Odour Classification based on Computational Intelligence Techniques.
Proceedings of the Advances in Computational Intelligence and Learning: Methods and Applications, 2002

2001
A fuzzy approach to 2D-shape recognition.
IEEE Trans. Fuzzy Syst., 2001

Recognition of olfactory signals based on supervised fuzzy C-means and k-NN algorithms.
Pattern Recognit. Lett., 2001

FROS: a fuzzy logic-based recogniser of olfactory signals.
Pattern Recognit., 2001

Leaving inconsistency using fuzzy logic.
Inf. Softw. Technol., 2001

Deferring elimination of design alternatives in object-oriented methods.
Concurr. Comput. Pract. Exp., 2001

2000
A linguistic fuzzy recogniser of off-line handwritten characters.
Pattern Recognit. Lett., 2000

A Fuzzy Hierarchical Classification System for Olfactory Signals.
Pattern Anal. Appl., 2000

Reducing computation overhead in MISO fuzzy systems.
Fuzzy Sets Syst., 2000

Some considerations on input and output partitions to produce meaningful conclusions in fuzzy inference.
Fuzzy Sets Syst., 2000

Developing object-oriented framworks using domain models.
ACM Comput. Surv., 2000

A genetic algorithm for generating optimal assembly plans.
Artif. Intell. Eng., 2000

Neuro-fuzzy off-line recognition of handwritten sentences.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

1999
SNIFFER: an electronic nose.
Proceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, 1999

A new linguistic fuzzy approach to recognition of olfactory signals.
Proceedings of the International Joint Conference Neural Networks, 1999

Olfactory signal classification based on evolutionary computation.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Performing automatic exams.
Comput. Educ., 1998

A fuzzy classification based system for handwritten character recognition.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998

1997
Beatrix: A self-learning system for off-line recognition of handwritten texts.
Pattern Recognit. Lett., 1997

Applying Fuzzy Logic Techniques in Object-Oriented Software Development.
Proceedings of the Object-Oriented Technology, ECOOP'97 Workshop Reader, 1997

Active Software Artifacts.
Proceedings of the Object-Oriented Technology, ECOOP'97 Workshop Reader, 1997

1996
Reasonable Conclusions in Fuzzy Reasoning.
Proceedings of the Eigth International Conference on Tools with Artificial Intelligence, 1996


  Loading...