Mario G. C. A. Cimino

According to our database, Mario G. C. A. Cimino authored at least 110 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Optimizing sparse topologies via competitive joint unstructured neural networks.

Federico A. Galatolo, Mario G. C. A. Cimino

Prog. Artif. Intell., December, 2024

Recognizing Bearings' Degradation Stage Using Multimodal Autoencoder to Learn Features from Different Time Series.

Antonio Luca Alfeo, Mario G. C. A. Cimino, Guido Gagliardi

SN Comput. Sci., April, 2024

Swarm intelligence for hole detection and healing in wireless sensor networks.

Giada Simionato, Mario G. C. A. Cimino

Comput. Networks, 2024

Towards explainable oral cancer recognition: Screening on imperfect images via Informed Deep Learning and Case-Based Reasoning.

Marco Parola, Federico A. Galatolo, Gaetano La Mantia, Mario G. C. A. Cimino, Giuseppina Campisi, Olga Di Fede

Comput. Medical Imaging Graph., 2024

High Resolution Mapping of Vegetation Biodiversity by Hyperspectral Images and Convolutional Autoencoders.

Giovanni Nico, Manilo Monaco, Olimpia Masci, Mario G. C. A. Cimino

Proceedings of the IGARSS 2024, 2024

A Machine-Learning Approach for Generating Synthetic Prisma Hyperspectral Images from Multispectral Data.

Manilo Monaco, Giorgio A. Licciardi, Maria Libera Battagliere, Rocchina Guarini, Mario G. C. A. Cimino, Laura Candela

Proceedings of the IGARSS 2024, 2024

Counterfactual-Based Feature Importance for Explainable Regression of Manufacturing Production Quality Measure.

Antonio L. Alfeo, Mario G. C. A. Cimino

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

A Machine Learning Workflow to Address Credit Default Prediction.

Rambod Rahmani, Marco Parola, Mario G. C. A. Cimino

Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

Semantic Segmentation of Crops via Hyperspectral PRISMA Satellite Images.

Manilo Monaco, Angela Sileo, Diana Orlandi, Maria Libera Battagliere, Laura Candela, Mario G. C. A. Cimino, Gaetano Alessandro Vivaldi, Vincenzo Giannico

Proceedings of the 10th International Conference on Geographical Information Systems Theory, 2024

2023

Blockchain-based Shared Additive Manufacturing.

Francesco Lupi, Mario G. C. A. Cimino, Tomaz Berlec, Federico A. Galatolo, Marko Corn, Nejc Rozman, Andrea Rossi, Michele Lanzetta

Comput. Ind. Eng., September, 2023

From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks.

Antonio Luca Alfeo, Antonio G. Zippo, Vincenzo Catrambone, Mario G. C. A. Cimino, Nicola Toschi, Gaetano Valenza

Comput. Methods Programs Biomed., June, 2023

Cerbero-7B: A Leap Forward in Language-Specific LLMs Through Enhanced Chat Corpus Generation and Evaluation.

Federico A. Galatolo, Mario G. C. A. Cimino

CoRR, 2023

Improving Emotion Recognition Systems by Exploiting the Spatial Information of EEG Sensors.

Guido Gagliardi, Antonio Luca Alfeo, Vincenzo Catrambone, Diego Candia-Rivera, Mario G. C. A. Cimino, Gaetano Valenza

IEEE Access, 2023

Impressionist Hole Detection and Healing Using Swarms of Agents with Quantized Perception.

Giada Simionato, Marco Parola, Mario G. C. A. Cimino

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Image-Based Screening of Oral Cancer via Deep Ensemble Architecture.

Marco Parola, Gaetano La Mantia, Federico Galatolo, Mario G. C. A. Cimino, Giuseppina Campisi, Olga Di Fede

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Using Contrastive Learning to Inject Domain-Knowledge Into Neural Networks for Recognizing Emotions.

Guido Gagliardi, Antonio Luca Alfeo, Vincenzo Catrambone, Mario G. C. A. Cimino, Maarten De Vos, Gaetano Valenza

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Fine-Grained Emotion Recognition Using Brain-Heart Interplay Measurements and eXplainable Convolutional Neural Networks.

Guido Gagliardi, Antonio Luca Alfeo, Vincenzo Catrambone, Mario G. C. A. Cimino, Maarten De Vos, Gaetano Valenza

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

The EXPERIENCE Project: Unveiling Extended-Personal Reality Through Automated VR Environments and Explainable Artificial Intelligence.

Gaetano Valenza, Mariano Alcañiz, Antonio Luca Alfeo, Matteo Bianchi, Vladimir Carli, Vincenzo Catrambone, Mario G. C. A. Cimino, Gabriela Dudnik, Andrea Duggento, Matteo Ferrante, Claudio Gentili, Jaime Guixeres, Simone Rossi, Nicola Toschi, Virginie van Wassenhove

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

TeTIm-Eval: A Novel Curated Evaluation Data Set for Comparing Text-to-Image Models.

Federico A. Galatolo, Mario G. C. A. Cimino, Edoardo Cogotti

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

Using Deep Learning with Attention to Detect Data Exfiltration by POS Malware.

Gabriele Martino, Federico A. Galatolo, Mario G. C. A. Cimino, Christian Callegari

Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

U-Nets and Multispectral Images for Detecting the Surface Water of Rivers via SAR Images.

Diana Orlandi, Federico A. Galatolo, Alessandro La Rosa, Mario G. C. A. Cimino, Pierfrancesco Foglia, Carolina Pagli, Cosimo Antonio Prete

Proceedings of the Geographical Information Systems Theory, Applications and Management, 2023

Using Deep Learning and Radar Backscatter for Mapping River Water Surface.

Diana Orlandi, Federico A. Galatolo, Mario G. C. A. Cimino, Carolina Pagli, Nicola Perilli, Joao A. Pompeu, Itxaso Ruiz

Proceedings of the 9th International Conference on Geographical Information Systems Theory, 2023

Swarms of Artificial Platelets for Emergent Hole Detection and Healing in Wireless Sensor Networks.

Giada Simionato, Federico A. Galatolo, Mario G. C. A. Cimino

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Effects of Environmental Conditions on Historic Buildings: Interpretable Versus Accurate Exploratory Data Analysis.

Marco Parola, Hajar Dirrhami, Mario G. C. A. Cimino, Nunziante Squeglia

Proceedings of the 12th International Conference on Data Science, 2023

Dense Information Retrieval on a Latin Digital Library via LaBSE and LatinBERT Embeddings.

Federico A. Galatolo, Gabriele Martino, Mario G. C. A. Cimino, Chiara Ombretta Tommasi

Proceedings of the 12th International Conference on Data Science, 2023

2022

in-Car Entertainment via Group-wise Temporary Mobile Social Networking.

Mario G. C. A. Cimino, Antonio Di Tecco, Pierfrancesco Foglia, Raffaele Giannessi, Jacopo Malvatani, Cosimo Antonio Prete, Giulio Rossolini

Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems, 2022

Using Emotion Recognition and Temporary Mobile Social Network in On-Board Services for Car Passengers.

Mario G. C. A. Cimino, Antonio Di Tecco, Pierfrancesco Foglia, Cosimo Antonio Prete

Proceedings of the Smart Cities, Green Technologies, and Intelligent Transport Systems, 2022

Automatic Feature Extraction for Bearings' Degradation Assessment using Minimally Pre-processed Time series and Multi-modal Feature Learning.

Antonio L. Alfeo, Mario G. C. A. Cimino, Guido Gagliardi

Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics, 2022

Deep Learning of Structural Changes in Historical Buildings: The Case Study of the Pisa Tower.

Mario G. C. A. Cimino, Federico A. Galatolo, Marco Parola, Nicola Perilli, Nunziante Squeglia

Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

Improving an Ensemble of Neural Networks via a Novel Multi-class Decomposition Schema.

Antonio L. Alfeo, Mario G. C. A. Cimino, Guido Gagliardi

Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

Using Deep Learning-based Object Detection to Extract Structure Information from Scanned Documents.

Alice Nannini, Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini

Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

Zero-shot Mathematical Problem Solving via Generative Pre-trained Transformers.

Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini

Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

Structural Damage Localization via Deep Learning and IoT Enabled Digital Twin.

Marco Parola, Federico A. Galatolo, Matteo Torzoni, Mario G. C. A. Cimino, Gigliola Vaglini

Proceedings of the 3rd International Conference on Deep Learning Theory and Applications, 2022

Convolutional Neural Networks for Structural Damage Localization on Digital Twins.

Marco Parola, Federico A. Galatolo, Matteo Torzoni, Mario G. C. A. Cimino

Proceedings of the Deep Learning Theory and Applications - Third International Conference, 2022

Enhancing land subsidence awareness via InSAR data and Deep Transformers.

Diana Orlandi, Federico A. Galatolo, Mario G. C. A. Cimino, Alessandro La Rosa, Carolina Pagli, Nicola Perilli

Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2022

Using Artificial Immune System to Prioritize Swarm Strategies for Environmental Monitoring.

Manilo Monaco, Giada Simionato, Mario G. C. A. Cimino, Gigliola Vaglini, Sabrina Senatore, Gaetano Caricato

Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2022

2021

Formal Derivation of Mesh Neural Networks with Their Forward-Only Gradient Propagation.

Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini

Neural Process. Lett., 2021

Technological troubleshooting based on sentence embedding with deep transformers.

Antonio L. Alfeo, Mario G. C. A. Cimino, Gigliola Vaglini

J. Intell. Manuf., 2021

Solving the scalarization issues of Advantage-based Reinforcement Learning algorithms.

Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini

Comput. Electr. Eng., 2021

A hyper-heuristic methodology for coordinating swarms of robots in target search.

Mario G. C. A. Cimino, Domenico Minici, Manilo Monaco, Stefano Petrocchi, Gigliola Vaglini

Comput. Electr. Eng., 2021

Noise Boosted Neural Receptive Fields.

Federico A. Galatolo, Mario G. C. A. Cimino, Alessandro Marincioni, Gigliola Vaglini

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Generating Images from Caption and Vice Versa via CLIP-Guided Generative Latent Space Search.

Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini

Proceedings of the International Conference on Image Processing and Vision Engineering, 2021

Using VLF Time Series from the INFREP Network for the Study of Pre-Seismic Radio Anomalies.

Manilo Monaco, Giovanni Nico, Pier Francesco Biagi, Anita Ermini, Aleksandra Nina, Mario G. C. A. Cimino, Gigliola Vaglini

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Managing the Oceans Cleanup via Sea Current Analysis and Bio-Inspired Coordination of USV Swarms.

Manilo Monaco, Mario G. C. A. Cimino, Gigliola Vaglini, Francesco Fusai, Giovanni Nico

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Multi-objective optimization of water distribution networks via NSGA-II and Pseudo-Weights.

Samar Ben Ammar, Mario G. C. A. Cimino, Pierfrancesco Foglia, Federico A. Galatolo, Issam Nouiri

Proceedings of the 19th IEEE International Conference on Embedded and Ubiquitous Computing, 2021

Recognizing motor imagery tasks from EEG oscillations through a novel ensemble-based neural network architecture.

Antonio L. Alfeo, Vincenzo Catrambone, Mario G. C. A. Cimino, Gigliola Vaglini, Gaetano Valenza

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Real-Time Deep Learning Approach for Real-World Video Anomaly Detection.

Stefano Petrocchi, Giacomo Giorgi, Mario G. C. A. Cimino

Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021

2020

Using an autoencoder in the design of an anomaly detector for smart manufacturing.

Antonio L. Alfeo, Mario G. C. A. Cimino, Giuseppe Manco, Ettore Ritacco, Gigliola Vaglini

Pattern Recognit. Lett., 2020

Model checking for malicious family detection and phylogenetic analysis in mobile environment.

Mario G. C. A. Cimino, Nicoletta De Francesco, Francesco Mercaldo, Antonella Santone, Gigliola Vaglini

Comput. Secur., 2020

2019

Assessing Refugees' Integration via Spatio-Temporal Similarities of Mobility and Calling Behaviors.

Antonio Luca Alfeo, Mario G. C. A. Cimino, Bruno Lepri, Alex 'Sandy' Pentland, Gigliola Vaglini

IEEE Trans. Comput. Soc. Syst., 2019

Enhancing biologically inspired swarm behavior: Metaheuristics to foster the optimization of UAVs coordination in target search.

Antonio L. Alfeo, Mario G. C. A. Cimino, Gigliola Vaglini

Comput. Oper. Res., 2019

Detecting User's Behavior Shift with Sensorized Shoes and Stigmergic Perceptrons.

Paolo Barsocchi, Nicola Carbonaro, Mario G. C. A. Cimino, Davide La Rosa, Filippo Palumbo, Alessandro Tognetti, Gigliola Vaglini

Proceedings of the IEEE 23rd International Symposium on Consumer Technologies, 2019

Urban Swarms: A new approach for autonomous waste management.

Antonio Luca Alfeo, Eduardo Castelló Ferrer, Yago Lizarribar Carrillo, Arnaud Grignard, Luis Alonso Pastor, Dylan T. Sleeper, Mario G. C. A. Cimino, Bruno Lepri, Gigliola Vaglini, Kent Larson, Marco Dorigo, Alex 'Sandy' Pentland

Proceedings of the International Conference on Robotics and Automation, 2019

Using Stigmergy as a Computational Memory in the Design of Recurrent Neural Networks.

Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Adaptive Exploration of a UAVs Swarm for Distributed Targets Detection and Tracking.

Mario G. C. A. Cimino, Massimiliano Lega, Manilo Monaco, Gigliola Vaglini

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Detecting Permanent and Intermittent Purchase Hotspots via Computational Stigmergy.

Antonio L. Alfeo, Mario G. C. A. Cimino, Bruno Lepri, Alex Pentland, Gigliola Vaglini

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Using Call Data and Stigmergic Similarity to Assess the Integration of Syrian Refugees in Turkey.

Antonio Luca Alfeo, Mario G. C. A. Cimino, Bruno Lepri, Gigliola Vaglini

Proceedings of the Guide to Mobile Data Analytics in Refugee Scenarios, 2019

2018

A Stigmergy-Based Analysis of City Hotspots to Discover Trends and Anomalies in Urban Transportation Usage.

Antonio Luca Alfeo, Mario G. C. A. Cimino, Sara Egidi, Bruno Lepri, Gigliola Vaglini

IEEE Trans. Intell. Transp. Syst., 2018

Using Stigmergy to Distinguish Event-Specific Topics in Social Discussions.

Mario G. C. A. Cimino, Alessandro Lazzeri, Witold Pedrycz, Gigliola Vaglini

Sensors, 2018

Smart Shoe-Assisted Evaluation of Using a Single Trunk/Pocket-Worn Accelerometer to Detect Gait Phases.

Marco Avvenuti, Nicola Carbonaro, Mario G. C. A. Cimino, Guglielmo Cola, Alessandro Tognetti, Gigliola Vaglini

Sensors, 2018

Sleep behavior assessment via smartwatch and stigmergic receptive fields.

Antonio L. Alfeo, Paolo Barsocchi, Mario G. C. A. Cimino, Davide La Rosa, Filippo Palumbo, Gigliola Vaglini

Pers. Ubiquitous Comput., 2018

Design and simulation of the emergent behavior of small drones swarming for distributed target localization.

Antonio L. Alfeo, Mario G. C. A. Cimino, Nicoletta De Francesco, Massimiliano Lega, Gigliola Vaglini

J. Comput. Sci., 2018

Fostering distributed business logic in Open Collaborative Networks: an integrated approach based on semantic and swarm coordination.

Francesco Paolo Appio, Mario G. C. A. Cimino, Alessandro Lazzeri, Antonella Martini, Gigliola Vaglini

Inf. Syst. Frontiers, 2018

Swarm coordination of mini-UAVs for target search using imperfect sensors.

Antonio L. Alfeo, Mario G. C. A. Cimino, Nicoletta De Francesco, Alessandro Lazzeri, Massimiliano Lega, Gigliola Vaglini

Intell. Decis. Technol., 2018

Using Stigmergy to Incorporate the Time into Artificial Neural Networks.

Federico A. Galatolo, Mario Giovanni C. A. Cimino, Gigliola Vaglini

Proceedings of the Mining Intelligence and Knowledge Exploration, 2018

Stock Price Forecasting Over Adaptive Timescale Using Supervised Learning and Receptive Fields.

Mario G. C. A. Cimino, Federico Dalla Bona, Pierfrancesco Foglia, Manilo Monaco, Cosimo Antonio Prete, Gigliola Vaglini

Proceedings of the Mining Intelligence and Knowledge Exploration, 2018

Detection and Mapping of a Toxic Cloud Using UAVs and Emergent Techniques.

Marco Avvenuti, Mario Giovanni C. A. Cimino, Guglielmo Cola, Gigliola Vaglini

Proceedings of the Mining Intelligence and Knowledge Exploration, 2018

2017

Evaluating the impact of smart technologies on harbor's logistics via BPMN modeling and simulation.

Mario G. C. A. Cimino, Filippo Palumbo, Gigliola Vaglini, Erina Ferro, Nedo Celandroni, Davide La Rosa

Inf. Technol. Manag., 2017

Detecting urban road congestion via parametric adaptation of position-based stigmergy.

Antonio L. Alfeo, Mario G. C. A. Cimino, Alessandro Lazzeri, Gigliola Vaglini

Intell. Decis. Technol., 2017

Stigmergy-Based Modeling to Discover Urban Activity Patterns from Positioning Data.

Antonio Luca Alfeo, Mario Giovanni C. A. Cimino, Sara Egidi, Bruno Lepri, Alex Pentland, Gigliola Vaglini

Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

Smart Shoe-Based Evaluation of Gait Phase Detection Accuracy Using Body-Worn Accelerometers.

Marco Avvenuti, Nicola Carbonaro, Mario G. C. A. Cimino, Guglielmo Cola, Alessandro Tognetti, Gigliola Vaglini

Proceedings of the Wireless Mobile Communication and Healthcare, 2017

Spikiness Assessment of Term Occurrences in Microblogs: An Approach based on Computational Stigmergy.

Mario G. C. A. Cimino, Federico Galatolo, Alessandro Lazzeri, Witold Pedrycz, Gigliola Vaglini

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Measuring Physical Activity of Older Adults via Smartwatch and Stigmergic Receptive Fields.

Antonio L. Alfeo, Mario G. C. A. Cimino, Gigliola Vaglini

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Localization and Inhibition of Malicious Behaviors through a Model Checking based Methodology.

Mario Giovanni C. A. Cimino, Gigliola Vaglini

Proceedings of the 3rd International Conference on Information Systems Security and Privacy, 2017

2016

Using Smartwatch Sensors to Support the Acquisition of Sleep Quality Data for Supervised Machine Learning.

Cinzia Bernardeschi, Mario G. C. A. Cimino, Andrea Domenici, Gigliola Vaglini

Proceedings of the Wireless Mobile Communication and Healthcare, 2016

Detecting Elderly Behavior Shift via Smart Devices and Stigmergic Receptive Fields.

Marco Avvenuti, Cinzia Bernardeschi, Mario G. C. A. Cimino, Guglielmo Cola, Andrea Domenici, Gigliola Vaglini

Proceedings of the Wireless Mobile Communication and Healthcare, 2016

Using Differential Evolution to Improve Pheromone-based Coordination of Swarms of Drones for Collaborative Target Detection.

Mario G. C. A. Cimino, Alessandro Lazzeri, Gigliola Vaglini

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

An Adaptive Stigmergy-based System for Evaluating Technological Indicator Dynamics in the Context of Smart Specialization.

Antonio L. Alfeo, Francesco Paolo Appio, Mario G. C. A. Cimino, Alessandro Lazzeri, Antonella Martini, Gigliola Vaglini

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

2015

Monitoring elderly behavior via indoor position-based stigmergy.

Paolo Barsocchi, Mario G. C. A. Cimino, Erina Ferro, Alessandro Lazzeri, Filippo Palumbo, Gigliola Vaglini

Pervasive Mob. Comput., 2015

Wireless communication, identification and sensing technologies enabling integrated logistics: a study in the harbor environment.

Mario G. C. A. Cimino, Nedo Celandroni, Erina Ferro, Davide La Rosa, Filippo Palumbo, Gigliola Vaglini

CoRR, 2015

Combining stigmergic and flocking behaviors to coordinate swarms of drones performing target search.

Mario G. C. A. Cimino, Alessandro Lazzeri, Gigliola Vaglini

Proceedings of the 6th International Conference on Information, 2015

Enabling swarm aggregation of position data via adaptive stigmergy: A case study in urban traffic flows.

Mario G. C. A. Cimino, Alessandro Lazzeri, Gigliola Vaglini

Proceedings of the 6th International Conference on Information, 2015

Improving the Analysis of Context-Aware Information via Marker-Based Stigmergy and Differential Evolution.

Mario G. C. A. Cimino, Alessandro Lazzeri, Gigliola Vaglini

Proceedings of the Artificial Intelligence and Soft Computing, 2015

2014

Genetic interval neural networks for granular data regression.

Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Witold Pedrycz

Inf. Sci., 2014

An Interval-Valued Approach to Business Process Simulation Based on Genetic Algorithms and the BPMN.

Mario G. C. A. Cimino, Gigliola Vaglini

Inf., 2014

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

Giovanna Castellano, Mario G. C. A. Cimino, Anna Maria Fanelli, Beatrice Lazzerini, Francesco Marcelloni, Maria Alessandra Torsello

Neurocomputing, 2014

2013

MARS, a Multi-Agent System for Assessing Rowers' Coordination via Motion-Based Stigmergy.

Marco Avvenuti, Daniel Cesarini, Mario G. C. A. Cimino

Sensors, 2013

GABES: A genetic algorithm based environment for SEU testing in SRAM-FPGAs.

Cinzia Bernardeschi, Luca Cassano, Mario G. C. A. Cimino, Andrea Domenici

J. Syst. Archit., 2013

A collaborative situation-aware scheme based on an emergent paradigm for mobile resource recommenders.

Giovanna Castellano, Mario G. C. A. Cimino, Anna Maria Fanelli, Beatrice Lazzerini, Francesco Marcelloni, Maria Alessandra Torsello

J. Ambient Intell. Humaniz. Comput., 2013

An Emergent Approach to Text Analysis Based on a Connectionist Model and the Web.

Mario G. C. A. Cimino, Gigliola Vaglini

Algorithms, 2013

2012

Enabling Traceability in the Wine Supply Chain.

Mario G. C. A. Cimino, Francesco Marcelloni

Proceedings of the Methodologies and Technologies for Networked Enterprises, 2012

An efficient model-based methodology for developing device-independent mobile applications.

Mario G. C. A. Cimino, Francesco Marcelloni

J. Syst. Archit., 2012

An adaptive rule-based approach for managing situation-awareness.

Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Alessandro Ciaramella

Expert Syst. Appl., 2012

2011

Autonomic tracing of production processes with mobile and agent-based computing.

Mario G. C. A. Cimino, Francesco Marcelloni

Inf. Sci., 2011

Granular Data Regression with Neural Networks.

Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Witold Pedrycz

Proceedings of the Fuzzy Logic and Applications - 9th International Workshop, 2011

A collaborative situation-aware scheme for mobile service recommendation.

Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Giovanna Castellano, Anna Maria Fanelli, Maria Alessandra Torsello

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

2010

A Situation-Aware Resource Recommender Based on Fuzzy and Semantic Web Rules.

Alessandro Ciaramella, Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2010

Using context history to personalize a resource recommender via a genetic algorithm.

Alessandro Ciaramella, Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni

Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Combining Fuzzy Logic and Semantic Web to Enable Situation-Awareness in Service Recommendation.

Alessandro Ciaramella, Mario G. C. A. Cimino, Francesco Marcelloni, Umberto Straccia

Proceedings of the Database and Expert Systems Applications, 21st International Conference, 2010

2009

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

Mario G. C. A. Cimino, Witold Pedrycz, Beatrice Lazzerini, Francesco Marcelloni

Neurocomputing, 2009

Situation-Aware Mobile Service Recommendation with Fuzzy Logic and Semantic Web.

Alessandro Ciaramella, Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Using BPMN and Tracing for Rapid Business Process Prototyping Environments.

Alessandro Ciaramella, Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni

Proceedings of the ICEIS 2009, 2009

2008

Patterns and technologies for enabling supply chain traceability through collaborative e-business.

Alessio Bechini, Mario G. C. A. Cimino, Francesco Marcelloni, Andrea Tomasi

Inf. Softw. Technol., 2008

2007

Clustering in non-metric spaces.

Mario G. C. A. Cimino

PhD thesis, 2007

2006

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

Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni

Pattern Recognit., 2006

2005

Cerere: an information system supporting traceability in the food supply chain.

Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Andrea Tomasi

Proceedings of the 7th IEEE International Conference on E-Commerce Technology Workshops (CEC 2005 Workshops), 2005

A General Framework for Food Traceability.

Alessio Bechini, Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Andrea Tomasi

Proceedings of the 2005 IEEE/IPSJ International Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops), 31 January, 2005

Using ebXML for Supply Chain Traceability.

Alessio Bechini, Mario G. C. A. Cimino, Andrea Tomasi

Proceedings of the Challenges of Expanding Internet: E-Commerce, 2005

2004

On the Noise Distance in Robust Fuzzy C-Means.

Mario G. C. A. Cimino, Graziano Frosini, Beatrice Lazzerini, Francesco Marcelloni

Proceedings of the International Conference on Computational Intelligence, 2004

2003

Relational clustering based on a dissimilarity relation extracted from data by a TS model.

Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni

Proceedings of the IEEE International Conference on Systems, 2003