Mario G. C. A. Cimino

Orcid: 0000-0002-1031-1959

According to our database1, Mario G. C. A. Cimino authored at least 102 papers between 2003 and 2024.

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Bibliography

2024
A machine learning workflow to address credit default prediction.
CoRR, 2024

Counterfactual-Based Feature Importance for Explainable Regression of Manufacturing Production Quality Measure.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023
Blockchain-based Shared Additive Manufacturing.
Comput. Ind. Eng., September, 2023

From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks.
Comput. Methods Programs Biomed., June, 2023

Cerbero-7B: A Leap Forward in Language-Specific LLMs Through Enhanced Chat Corpus Generation and Evaluation.
CoRR, 2023

Improving Emotion Recognition Systems by Exploiting the Spatial Information of EEG Sensors.
IEEE Access, 2023

Impressionist Hole Detection and Healing Using Swarms of Agents with Quantized Perception.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Image-Based Screening of Oral Cancer via Deep Ensemble Architecture.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Using Contrastive Learning to Inject Domain-Knowledge Into Neural Networks for Recognizing Emotions.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Fine-Grained Emotion Recognition Using Brain-Heart Interplay Measurements and eXplainable Convolutional Neural Networks.
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.
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.
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.
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

Using Deep Learning and Radar Backscatter for Mapping River Water Surface.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Effects of Environmental Conditions on Historic Buildings: Interpretable Versus Accurate Exploratory Data Analysis.
Proceedings of the 12th International Conference on Data Science, 2023

Dense Information Retrieval on a Latin Digital Library via LaBSE and LatinBERT Embeddings.
Proceedings of the 12th International Conference on Data Science, 2023

2022
in-Car Entertainment via Group-wise Temporary Mobile Social Networking.
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.
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.
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.
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

Improving an Ensemble of Neural Networks via a Novel Multi-class Decomposition Schema.
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

Using Deep Learning-based Object Detection to Extract Structure Information from Scanned Documents.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

Zero-shot Mathematical Problem Solving via Generative Pre-trained Transformers.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

Structural Damage Localization via Deep Learning and IoT Enabled Digital Twin.
Proceedings of the 3rd International Conference on Deep Learning Theory and Applications, 2022

Convolutional Neural Networks for Structural Damage Localization on Digital Twins.
Proceedings of the Deep Learning Theory and Applications - Third International Conference, 2022

Enhancing land subsidence awareness via InSAR data and Deep Transformers.
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.
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.
Neural Process. Lett., 2021

Technological troubleshooting based on sentence embedding with deep transformers.
J. Intell. Manuf., 2021

Solving the scalarization issues of Advantage-based Reinforcement Learning algorithms.
Comput. Electr. Eng., 2021

A hyper-heuristic methodology for coordinating swarms of robots in target search.
Comput. Electr. Eng., 2021

Noise Boosted Neural Receptive Fields.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Generating Images from Caption and Vice Versa via CLIP-Guided Generative Latent Space Search.
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.
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.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Multi-objective optimization of water distribution networks via NSGA-II and Pseudo-Weights.
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.
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.
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.
Pattern Recognit. Lett., 2020

Model checking for malicious family detection and phylogenetic analysis in mobile environment.
Comput. Secur., 2020

2019
Assessing Refugees' Integration via Spatio-Temporal Similarities of Mobility and Calling Behaviors.
IEEE Trans. Comput. Soc. Syst., 2019

Enhancing biologically inspired swarm behavior: Metaheuristics to foster the optimization of UAVs coordination in target search.
Comput. Oper. Res., 2019

Detecting User's Behavior Shift with Sensorized Shoes and Stigmergic Perceptrons.
Proceedings of the IEEE 23rd International Symposium on Consumer Technologies, 2019

Urban Swarms: A new approach for autonomous waste management.
Proceedings of the International Conference on Robotics and Automation, 2019

Using Stigmergy as a Computational Memory in the Design of Recurrent Neural Networks.
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.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Detecting Permanent and Intermittent Purchase Hotspots via Computational Stigmergy.
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.
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.
IEEE Trans. Intell. Transp. Syst., 2018

Using Stigmergy to Distinguish Event-Specific Topics in Social Discussions.
Sensors, 2018

Smart Shoe-Assisted Evaluation of Using a Single Trunk/Pocket-Worn Accelerometer to Detect Gait Phases.
Sensors, 2018

Sleep behavior assessment via smartwatch and stigmergic receptive fields.
Pers. Ubiquitous Comput., 2018

Design and simulation of the emergent behavior of small drones swarming for distributed target localization.
J. Comput. Sci., 2018

Fostering distributed business logic in Open Collaborative Networks: an integrated approach based on semantic and swarm coordination.
Inf. Syst. Frontiers, 2018

Swarm coordination of mini-UAVs for target search using imperfect sensors.
Intell. Decis. Technol., 2018

Using Stigmergy to Incorporate the Time into Artificial Neural Networks.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2018

Stock Price Forecasting Over Adaptive Timescale Using Supervised Learning and Receptive Fields.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2018

Detection and Mapping of a Toxic Cloud Using UAVs and Emergent Techniques.
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.
Inf. Technol. Manag., 2017

Detecting urban road congestion via parametric adaptation of position-based stigmergy.
Intell. Decis. Technol., 2017

Stigmergy-Based Modeling to Discover Urban Activity Patterns from Positioning Data.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

Smart Shoe-Based Evaluation of Gait Phase Detection Accuracy Using Body-Worn Accelerometers.
Proceedings of the Wireless Mobile Communication and Healthcare, 2017

Spikiness Assessment of Term Occurrences in Microblogs: An Approach based on Computational Stigmergy.
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.
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.
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.
Proceedings of the Wireless Mobile Communication and Healthcare, 2016

Detecting Elderly Behavior Shift via Smart Devices and Stigmergic Receptive Fields.
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.
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.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

2015
Monitoring elderly behavior via indoor position-based stigmergy.
Pervasive Mob. Comput., 2015

Wireless communication, identification and sensing technologies enabling integrated logistics: a study in the harbor environment.
CoRR, 2015

Combining stigmergic and flocking behaviors to coordinate swarms of drones performing target search.
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.
Proceedings of the 6th International Conference on Information, 2015

Improving the Analysis of Context-Aware Information via Marker-Based Stigmergy and Differential Evolution.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

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

An Interval-Valued Approach to Business Process Simulation Based on Genetic Algorithms and the BPMN.
Inf., 2014

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

2013
MARS, a Multi-Agent System for Assessing Rowers' Coordination via Motion-Based Stigmergy.
Sensors, 2013

GABES: A genetic algorithm based environment for SEU testing in SRAM-FPGAs.
J. Syst. Archit., 2013

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

An Emergent Approach to Text Analysis Based on a Connectionist Model and the Web.
Algorithms, 2013

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

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

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

A collaborative situation-aware scheme for mobile service recommendation.
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.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 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

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

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

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

2007
Clustering in non-metric spaces.
PhD thesis, 2007

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

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

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

Using ebXML for Supply Chain Traceability.
Proceedings of the Challenges of Expanding Internet: E-Commerce, 2005

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

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


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