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Mario Giovanni C. A. Cimino
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2020 – today
- 2024
[j39]Marco Parola
, Federico A. Galatolo, Gaetano La Mantia, Mario G. C. A. Cimino, Giuseppina Campisi, Olga Di Fede:
Towards explainable oral cancer recognition: Screening on imperfect images via Informed Deep Learning and Case-Based Reasoning. Comput. Medical Imaging Graph. 117: 102433 (2024)- [j38]Giada Simionato, Mario G. C. A. Cimino:
Swarm intelligence for hole detection and healing in wireless sensor networks. Comput. Networks 250: 110538 (2024) - [j37]Federico A. Galatolo, Mario G. C. A. Cimino:
Optimizing sparse topologies via competitive joint unstructured neural networks. Prog. Artif. Intell. 13(4): 335-349 (2024) - [j36]Antonio Luca Alfeo, Mario G. C. A. Cimino, Guido Gagliardi:
Recognizing Bearings' Degradation Stage Using Multimodal Autoencoder to Learn Features from Different Time Series. SN Comput. Sci. 5(4): 371 (2024) - [c66]Manilo Monaco, Angela Sileo, Diana Orlandi, Maria Libera Battagliere, Laura Candela, Mario G. C. A. Cimino, Gaetano Alessandro Vivaldi, Vincenzo Giannico:
Semantic Segmentation of Crops via Hyperspectral PRISMA Satellite Images. GISTAM 2024: 187-194 - [c65]Rambod Rahmani, Marco Parola, Mario G. C. A. Cimino:
A Machine Learning Workflow to Address Credit Default Prediction. ICEIS (1) 2024: 714-720 - [c64]Antonio L. Alfeo, Mario G. C. A. Cimino:
Counterfactual-Based Feature Importance for Explainable Regression of Manufacturing Production Quality Measure. ICPRAM 2024: 48-56 - [c63]Giovanni Nico, Manilo Monaco, Olimpia Masci, Mario G. C. A. Cimino:
High Resolution Mapping of Vegetation Biodiversity by Hyperspectral Images and Convolutional Autoencoders. IGARSS 2024: 2247-2250 - [c62]Manilo Monaco, Giorgio A. Licciardi, Maria Libera Battagliere, Rocchina Guarini, Mario G. C. A. Cimino, Laura Candela:
A Machine-Learning Approach for Generating Synthetic Prisma Hyperspectral Images from Multispectral Data. IGARSS 2024: 3659-3662 - [i17]Rambod Rahmani, Marco Parola, Mario G. C. A. Cimino:
A machine learning workflow to address credit default prediction. CoRR abs/2403.03785 (2024) - 2023
- [j35]Guido Gagliardi, Antonio Luca Alfeo, Vincenzo Catrambone, Diego Candia-Rivera, Mario G. C. A. Cimino, Gaetano Valenza:
Improving Emotion Recognition Systems by Exploiting the Spatial Information of EEG Sensors. IEEE Access 11: 39544-39554 (2023) - [j34]Francesco Lupi, Mario G. C. A. Cimino, Tomaz Berlec, Federico A. Galatolo, Marko Corn, Nejc Rozman, Andrea Rossi, Michele Lanzetta:
Blockchain-based Shared Additive Manufacturing. Comput. Ind. Eng. 183: 109497 (2023) - [j33]Antonio Luca Alfeo, Antonio G. Zippo, Vincenzo Catrambone, Mario G. C. A. Cimino, Nicola Toschi, Gaetano Valenza:
From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks. Comput. Methods Programs Biomed. 236: 107550 (2023) - [c61]Marco Parola, Hajar Dirrhami, Mario G. C. A. Cimino, Nunziante Squeglia:
Effects of Environmental Conditions on Historic Buildings: Interpretable Versus Accurate Exploratory Data Analysis. DATA 2023: 429-435 - [c60]Federico A. Galatolo, Gabriele Martino, Mario G. C. A. Cimino, Chiara Ombretta Tommasi:
Dense Information Retrieval on a Latin Digital Library via LaBSE and LatinBERT Embeddings. DATA 2023: 518-523 - [c59]Giada Simionato, Federico A. Galatolo, Mario G. C. A. Cimino:
Swarms of Artificial Platelets for Emergent Hole Detection and Healing in Wireless Sensor Networks. GECCO 2023: 75-83 - [c58]Diana Orlandi, Federico A. Galatolo, Alessandro La Rosa, Mario G. C. A. Cimino, Pierfrancesco Foglia, Carolina Pagli, Cosimo Antonio Prete:
U-Nets and Multispectral Images for Detecting the Surface Water of Rivers via SAR Images. GISTAM (Selected Papers) 2023: 1-13 - [c57]Diana Orlandi, Federico A. Galatolo, Mario G. C. A. Cimino, Carolina Pagli, Nicola Perilli, Joao A. Pompeu, Itxaso Ruiz:
Using Deep Learning and Radar Backscatter for Mapping River Water Surface. GISTAM 2023: 216-221 - [c56]Gabriele Martino, Federico A. Galatolo, Mario G. C. A. Cimino, Christian Callegari:
Using Deep Learning with Attention to Detect Data Exfiltration by POS Malware. ICEIS (1) 2023: 638-648 - [c55]Federico A. Galatolo, Mario G. C. A. Cimino, Edoardo Cogotti:
TeTIm-Eval: A Novel Curated Evaluation Data Set for Comparing Text-to-Image Models. ICPRAM 2023: 590-596 - [c54]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:
The EXPERIENCE Project: Unveiling Extended-Personal Reality Through Automated VR Environments and Explainable Artificial Intelligence. MetroXRAINE 2023: 757-762 - [c53]Guido Gagliardi, Antonio Luca Alfeo, Vincenzo Catrambone, Mario G. C. A. Cimino, Maarten De Vos, Gaetano Valenza:
Fine-Grained Emotion Recognition Using Brain-Heart Interplay Measurements and eXplainable Convolutional Neural Networks. NER 2023: 1-6 - [c52]Giada Simionato, Marco Parola, Mario G. C. A. Cimino:
Impressionist Hole Detection and Healing Using Swarms of Agents with Quantized Perception. SSCI 2023: 1213-1220 - [c51]Marco Parola, Gaetano La Mantia, Federico Galatolo, Mario G. C. A. Cimino, Giuseppina Campisi, Olga Di Fede:
Image-Based Screening of Oral Cancer via Deep Ensemble Architecture. SSCI 2023: 1572-1578 - [c50]Guido Gagliardi, Antonio Luca Alfeo, Vincenzo Catrambone, Mario G. C. A. Cimino, Maarten De Vos, Gaetano Valenza:
Using Contrastive Learning to Inject Domain-Knowledge Into Neural Networks for Recognizing Emotions. SSCI 2023: 1587-1592 - [i16]Federico A. Galatolo, Mario G. C. A. Cimino:
Cerbero-7B: A Leap Forward in Language-Specific LLMs Through Enhanced Chat Corpus Generation and Evaluation. CoRR abs/2311.15698 (2023) - 2022
- [c49]Diana Orlandi, Federico A. Galatolo, Mario G. C. A. Cimino, Alessandro La Rosa, Carolina Pagli, Nicola Perilli:
Enhancing land subsidence awareness via InSAR data and Deep Transformers. CogSIMA 2022: 98-103 - [c48]Manilo Monaco, Giada Simionato, Mario G. C. A. Cimino, Gigliola Vaglini, Sabrina Senatore, Gaetano Caricato:
Using Artificial Immune System to Prioritize Swarm Strategies for Environmental Monitoring. CogSIMA 2022: 104-110 - [c47]Marco Parola, Federico A. Galatolo, Matteo Torzoni, Mario G. C. A. Cimino:
Convolutional Neural Networks for Structural Damage Localization on Digital Twins. DeLTA (Selected Papers) 2022: 78-97 - [c46]Marco Parola, Federico A. Galatolo, Matteo Torzoni, Mario G. C. A. Cimino, Gigliola Vaglini:
Structural Damage Localization via Deep Learning and IoT Enabled Digital Twin. DeLTA 2022: 199-206 - [c45]Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini:
Zero-shot Mathematical Problem Solving via Generative Pre-trained Transformers. ICEIS (1) 2022: 479-483 - [c44]Alice Nannini, Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini:
Using Deep Learning-based Object Detection to Extract Structure Information from Scanned Documents. ICEIS (1) 2022: 610-615 - [c43]Antonio L. Alfeo, Mario G. C. A. Cimino, Guido Gagliardi:
Improving an Ensemble of Neural Networks via a Novel Multi-class Decomposition Schema. IJCCI 2022: 389-395 - [c42]Mario G. C. A. Cimino, Federico A. Galatolo, Marco Parola, Nicola Perilli, Nunziante Squeglia:
Deep Learning of Structural Changes in Historical Buildings: The Case Study of the Pisa Tower. IJCCI 2022: 396-403 - [c41]Antonio L. Alfeo, Mario G. C. A. Cimino, Guido Gagliardi:
Automatic Feature Extraction for Bearings' Degradation Assessment using Minimally Pre-processed Time series and Multi-modal Feature Learning. IN4PL 2022: 94-103 - [c40]Mario G. C. A. Cimino, Antonio Di Tecco, Pierfrancesco Foglia, Cosimo Antonio Prete:
Using Emotion Recognition and Temporary Mobile Social Network in On-Board Services for Car Passengers. SMARTGREENS/VEHITS (Selected Papers) 2022: 158-171 - [c39]Mario G. C. A. Cimino, Antonio Di Tecco, Pierfrancesco Foglia, Raffaele Giannessi, Jacopo Malvatani, Cosimo Antonio Prete, Giulio Rossolini:
in-Car Entertainment via Group-wise Temporary Mobile Social Networking. VEHITS 2022: 432-437 - [i15]Federico A. Galatolo, Mario G. C. A. Cimino, Edoardo Cogotti:
TeTIm-Eval: a novel curated evaluation data set for comparing text-to-image models. CoRR abs/2212.07839 (2022) - 2021
- [j32]Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini:
Solving the scalarization issues of Advantage-based Reinforcement Learning algorithms. Comput. Electr. Eng. 92: 107117 (2021) - [j31]Mario G. C. A. Cimino, Domenico Minici, Manilo Monaco, Stefano Petrocchi, Gigliola Vaglini:
A hyper-heuristic methodology for coordinating swarms of robots in target search. Comput. Electr. Eng. 95: 107420 (2021) - [j30]Antonio L. Alfeo, Mario G. C. A. Cimino, Gigliola Vaglini:
Technological troubleshooting based on sentence embedding with deep transformers. J. Intell. Manuf. 32(6): 1699-1710 (2021) - [j29]Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini:
Formal Derivation of Mesh Neural Networks with Their Forward-Only Gradient Propagation. Neural Process. Lett. 53(3): 1963-1978 (2021) - [c38]Stefano Petrocchi, Giacomo Giorgi, Mario G. C. A. Cimino:
A Real-Time Deep Learning Approach for Real-World Video Anomaly Detection. ARES 2021: 119:1-119:9 - [c37]Antonio L. Alfeo, Vincenzo Catrambone, Mario G. C. A. Cimino, Gigliola Vaglini, Gaetano Valenza:
Recognizing motor imagery tasks from EEG oscillations through a novel ensemble-based neural network architecture. EMBC 2021: 5983-5986 - [c36]Samar Ben Ammar, Mario G. C. A. Cimino, Pierfrancesco Foglia, Federico A. Galatolo, Issam Nouiri:
Multi-objective optimization of water distribution networks via NSGA-II and Pseudo-Weights. EUC 2021: 181-186 - [c35]Manilo Monaco, Mario G. C. A. Cimino, Gigliola Vaglini, Francesco Fusai, Giovanni Nico:
Managing the Oceans Cleanup via Sea Current Analysis and Bio-Inspired Coordination of USV Swarms. IGARSS 2021: 8344-8347 - [c34]Manilo Monaco, Giovanni Nico, Pier Francesco Biagi, Anita Ermini, Aleksandra Nina, Mario G. C. A. Cimino, Gigliola Vaglini:
Using VLF Time Series from the INFREP Network for the Study of Pre-Seismic Radio Anomalies. IGARSS 2021: 8624-8627 - [c33]Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini:
Generating Images from Caption and Vice Versa via CLIP-Guided Generative Latent Space Search. IMPROVE 2021: 166-174 - [c32]Federico A. Galatolo, Mario G. C. A. Cimino, Alessandro Marincioni, Gigliola Vaglini:
Noise Boosted Neural Receptive Fields. SSCI 2021: 1-6 - [i14]Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini:
Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search. CoRR abs/2102.01645 (2021) - 2020
- [j28]Mario G. C. A. Cimino, Nicoletta De Francesco, Francesco Mercaldo, Antonella Santone, Gigliola Vaglini:
Model checking for malicious family detection and phylogenetic analysis in mobile environment. Comput. Secur. 90: 101691 (2020) - [j27]Antonio L. Alfeo, Mario G. C. A. Cimino, Giuseppe Manco, Ettore Ritacco, Gigliola Vaglini:
Using an autoencoder in the design of an anomaly detector for smart manufacturing. Pattern Recognit. Lett. 136: 272-278 (2020) - [i13]Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini:
Solving the scalarization issues of Advantage-based Reinforcement Learning Algorithms. CoRR abs/2004.04120 (2020)
2010 – 2019
- 2019
- [j26]Antonio L. Alfeo, Mario G. C. A. Cimino, Gigliola Vaglini:
Enhancing biologically inspired swarm behavior: Metaheuristics to foster the optimization of UAVs coordination in target search. Comput. Oper. Res. 110: 34-47 (2019) - [j25]Antonio Luca Alfeo, Mario G. C. A. Cimino, Bruno Lepri, Alex 'Sandy' Pentland, Gigliola Vaglini:
Assessing Refugees' Integration via Spatio-Temporal Similarities of Mobility and Calling Behaviors. IEEE Trans. Comput. Soc. Syst. 6(4): 726-738 (2019) - [c31]Antonio L. Alfeo, Mario G. C. A. Cimino, Bruno Lepri, Alex Pentland, Gigliola Vaglini:
Detecting Permanent and Intermittent Purchase Hotspots via Computational Stigmergy. ICPRAM 2019: 822-829 - [c30]Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini:
Using Stigmergy as a Computational Memory in the Design of Recurrent Neural Networks. ICPRAM 2019: 830-836 - [c29]Mario G. C. A. Cimino, Massimiliano Lega, Manilo Monaco, Gigliola Vaglini:
Adaptive Exploration of a UAVs Swarm for Distributed Targets Detection and Tracking. ICPRAM 2019: 837-844 - [c28]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:
Urban Swarms: A new approach for autonomous waste management. ICRA 2019: 4233-4240 - [c27]Paolo Barsocchi, Nicola Carbonaro, Mario G. C. A. Cimino, Davide La Rosa, Filippo Palumbo, Alessandro Tognetti, Gigliola Vaglini:
Detecting User's Behavior Shift with Sensorized Shoes and Stigmergic Perceptrons. ISCT 2019: 265-268 - [p2]Antonio Luca Alfeo, Mario G. C. A. Cimino, Bruno Lepri, Gigliola Vaglini:
Using Call Data and Stigmergic Similarity to Assess the Integration of Syrian Refugees in Turkey. Data for Refugees Challenge 2019: 165-178 - [i12]Antonio L. Alfeo, Mario G. C. A. Cimino, Gigliola Vaglini:
Measuring Physical Activity of Older Adults via Smartwatch and Stigmergic Receptive Fields. CoRR abs/1901.00552 (2019) - [i11]Antonio L. Alfeo, Francesco Paolo Appio, Mario G. C. A. Cimino, Alessandro Lazzeri, Antonella Martini, Gigliola Vaglini:
An adaptive stigmergy-based system for evaluating technological indicator dynamics in the context of smart specialization. CoRR abs/1901.00553 (2019) - [i10]Antonio L. Alfeo, Mario G. C. A. Cimino, Nicoletta De Francesco, Alessandro Lazzeri, Massimiliano Lega, Gigliola Vaglini:
Swarm coordination of mini-UAVs for target search using imperfect sensors. CoRR abs/1901.02885 (2019) - [i9]Antonio L. Alfeo, Mario G. C. A. Cimino, Bruno Lepri, Alex 'Sandy' Pentland, Gigliola Vaglini:
Detecting Permanent and Intermittent Purchase Hotspots via Computational Stigmergy. CoRR abs/1902.01601 (2019) - [i8]Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini:
Using stigmergy as a computational memory in the design of recurrent neural networks. CoRR abs/1903.01341 (2019) - [i7]Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini:
Formal derivation of Mesh Neural Networks with their Forward-Only gradient Propagation. CoRR abs/1905.06684 (2019) - [i6]Antonio L. Alfeo, Mario G. C. A. Cimino, Bruno Lepri, Alex 'Sandy' Pentland, Gigliola Vaglini:
Assessing Refugees' Integration via Spatio-temporal Similarities of Mobility and Calling Behaviors. CoRR abs/1907.06929 (2019) - 2018
- [j24]Antonio L. Alfeo, Mario G. C. A. Cimino, Nicoletta De Francesco, Alessandro Lazzeri, Massimiliano Lega, Gigliola Vaglini:
Swarm coordination of mini-UAVs for target search using imperfect sensors. Intell. Decis. Technol. 12(2): 149-162 (2018) - [j23]Francesco Paolo Appio, Mario G. C. A. Cimino, Alessandro Lazzeri, Antonella Martini, Gigliola Vaglini:
Fostering distributed business logic in Open Collaborative Networks: an integrated approach based on semantic and swarm coordination. Inf. Syst. Frontiers 20(3): 589-616 (2018) - [j22]Antonio L. Alfeo, Mario G. C. A. Cimino, Nicoletta De Francesco, Massimiliano Lega, Gigliola Vaglini:
Design and simulation of the emergent behavior of small drones swarming for distributed target localization. J. Comput. Sci. 29: 19-33 (2018) - [j21]Antonio L. Alfeo, Paolo Barsocchi, Mario G. C. A. Cimino, Davide La Rosa, Filippo Palumbo, Gigliola Vaglini:
Sleep behavior assessment via smartwatch and stigmergic receptive fields. Pers. Ubiquitous Comput. 22(2): 227-243 (2018) - [j20]Mario G. C. A. Cimino, Alessandro Lazzeri, Witold Pedrycz, Gigliola Vaglini:
Using Stigmergy to Distinguish Event-Specific Topics in Social Discussions. Sensors 18(7): 2117 (2018) - [j19]Marco Avvenuti, Nicola Carbonaro, Mario G. C. A. Cimino, Guglielmo Cola, Alessandro Tognetti, Gigliola Vaglini:
Smart Shoe-Assisted Evaluation of Using a Single Trunk/Pocket-Worn Accelerometer to Detect Gait Phases. Sensors 18(11): 3811 (2018) - [j18]Antonio Luca Alfeo, Mario G. C. A. Cimino, Sara Egidi, Bruno Lepri, Gigliola Vaglini:
A Stigmergy-Based Analysis of City Hotspots to Discover Trends and Anomalies in Urban Transportation Usage. IEEE Trans. Intell. Transp. Syst. 19(7): 2258-2267 (2018) - [c26]Marco Avvenuti, Mario Giovanni C. A. Cimino, Guglielmo Cola, Gigliola Vaglini:
Detection and Mapping of a Toxic Cloud Using UAVs and Emergent Techniques. MIKE 2018: 215-224 - [c25]Federico A. Galatolo, Mario Giovanni C. A. Cimino, Gigliola Vaglini:
Using Stigmergy to Incorporate the Time into Artificial Neural Networks. MIKE 2018: 248-258 - [c24]Mario G. C. A. Cimino, Federico Dalla Bona, Pierfrancesco Foglia, Manilo Monaco, Cosimo Antonio Prete, Gigliola Vaglini:
Stock Price Forecasting Over Adaptive Timescale Using Supervised Learning and Receptive Fields. MIKE 2018: 279-288 - [i5]Antonio L. Alfeo, Mario G. C. A. Cimino, Sara Egidi, Bruno Lepri, Gigliola Vaglini:
A stigmergy-based analysis of city hotspots to discover trends and anomalies in urban transportation usage. CoRR abs/1804.05697 (2018) - [i4]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:
Urban Swarms: A new approach for autonomous waste management. CoRR abs/1810.07910 (2018) - [i3]Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini:
Using stigmergy to incorporate the time into artificial neural networks. CoRR abs/1811.10574 (2018) - 2017
- [j17]Antonio L. Alfeo, Mario G. C. A. Cimino, Alessandro Lazzeri, Gigliola Vaglini:
Detecting urban road congestion via parametric adaptation of position-based stigmergy. Intell. Decis. Technol. 11(4): 465-475 (2017) - [j16]Mario G. C. A. Cimino, Filippo Palumbo, Gigliola Vaglini, Erina Ferro, Nedo Celandroni, Davide La Rosa:
Evaluating the impact of smart technologies on harbor's logistics via BPMN modeling and simulation. Inf. Technol. Manag. 18(3): 223-239 (2017) - [c23]Mario Giovanni C. A. Cimino, Gigliola Vaglini:
Localization and Inhibition of Malicious Behaviors through a Model Checking based Methodology. ICISSP 2017: 644-652 - [c22]Antonio L. Alfeo, Mario G. C. A. Cimino, Gigliola Vaglini:
Measuring Physical Activity of Older Adults via Smartwatch and Stigmergic Receptive Fields. ICPRAM 2017: 724-730 - [c21]Mario G. C. A. Cimino, Federico Galatolo, Alessandro Lazzeri, Witold Pedrycz, Gigliola Vaglini:
Spikiness Assessment of Term Occurrences in Microblogs: An Approach based on Computational Stigmergy. ICPRAM 2017: 731-737 - [c20]Marco Avvenuti, Nicola Carbonaro, Mario G. C. A. Cimino, Guglielmo Cola, Alessandro Tognetti, Gigliola Vaglini:
Smart Shoe-Based Evaluation of Gait Phase Detection Accuracy Using Body-Worn Accelerometers. MobiHealth 2017: 250-257 - [c19]Antonio Luca Alfeo, Mario Giovanni C. A. Cimino, Sara Egidi, Bruno Lepri, Alex Pentland, Gigliola Vaglini:
Stigmergy-Based Modeling to Discover Urban Activity Patterns from Positioning Data. SBP-BRiMS 2017: 292-301 - [i2]Antonio L. Alfeo, Mario G. C. A. Cimino, Sara Egidi, Bruno Lepri, Alex Pentland, Gigliola Vaglini:
Stigmergy-based modeling to discover urban activity patterns from positioning data. CoRR abs/1704.03667 (2017) - 2016
- [c18]Antonio L. Alfeo, Francesco Paolo Appio, Mario G. C. A. Cimino, Alessandro Lazzeri, Antonella Martini, Gigliola Vaglini:
An Adaptive Stigmergy-based System for Evaluating Technological Indicator Dynamics in the Context of Smart Specialization. ICPRAM 2016: 497-502 - [c17]Mario G. C. A. Cimino, Alessandro Lazzeri, Gigliola Vaglini:
Using Differential Evolution to Improve Pheromone-based Coordination of Swarms of Drones for Collaborative Target Detection. ICPRAM 2016: 605-610 - [c16]Cinzia Bernardeschi, Mario G. C. A. Cimino, Andrea Domenici, Gigliola Vaglini:
Using Smartwatch Sensors to Support the Acquisition of Sleep Quality Data for Supervised Machine Learning. MobiHealth 2016: 251-259 - [c15]Marco Avvenuti, Cinzia Bernardeschi, Mario G. C. A. Cimino, Guglielmo Cola, Andrea Domenici, Gigliola Vaglini:
Detecting Elderly Behavior Shift via Smart Devices and Stigmergic Receptive Fields. MobiHealth 2016: 398-405 - 2015
- [j15]Paolo Barsocchi, Mario G. C. A. Cimino, Erina Ferro, Alessandro Lazzeri, Filippo Palumbo, Gigliola Vaglini:
Monitoring elderly behavior via indoor position-based stigmergy. Pervasive Mob. Comput. 23: 26-42 (2015) - [c14]Mario G. C. A. Cimino, Alessandro Lazzeri, Gigliola Vaglini:
Improving the Analysis of Context-Aware Information via Marker-Based Stigmergy and Differential Evolution. ICAISC 2015: 341-352 - [c13]Mario G. C. A. Cimino, Alessandro Lazzeri, Gigliola Vaglini:
Enabling swarm aggregation of position data via adaptive stigmergy: A case study in urban traffic flows. IISA 2015: 1-6 - [c12]Mario G. C. A. Cimino, Alessandro Lazzeri, Gigliola Vaglini:
Combining stigmergic and flocking behaviors to coordinate swarms of drones performing target search. IISA 2015: 1-6 - [i1]Mario G. C. A. Cimino, Nedo Celandroni, Erina Ferro, Davide La Rosa, Filippo Palumbo, Gigliola Vaglini:
Wireless communication, identification and sensing technologies enabling integrated logistics: a study in the harbor environment. CoRR abs/1510.06175 (2015) - 2014
- [j14]Giovanna Castellano, Mario G. C. A. Cimino, Anna Maria Fanelli, Beatrice Lazzerini, Francesco Marcelloni, Maria Alessandra Torsello:
A multi-agent system for enabling collaborative situation awareness via position-based stigmergy and neuro-fuzzy learning. Neurocomputing 135: 86-97 (2014) - [j13]Mario G. C. A. Cimino, Gigliola Vaglini:
An Interval-Valued Approach to Business Process Simulation Based on Genetic Algorithms and the BPMN. Inf. 5(2): 319-356 (2014) - [j12]Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Witold Pedrycz:
Genetic interval neural networks for granular data regression. Inf. Sci. 257: 313-330 (2014) - 2013
- [j11]Mario G. C. A. Cimino, Gigliola Vaglini:
An Emergent Approach to Text Analysis Based on a Connectionist Model and the Web. Algorithms 6(3): 565-590 (2013) - [j10]Giovanna Castellano, Mario G. C. A. Cimino, Anna Maria Fanelli, Beatrice Lazzerini, Francesco Marcelloni, Maria Alessandra Torsello:
A collaborative situation-aware scheme based on an emergent paradigm for mobile resource recommenders. J. Ambient Intell. Humaniz. Comput. 4(4): 421-437 (2013) - [j9]Cinzia Bernardeschi, Luca Cassano, Mario G. C. A. Cimino, Andrea Domenici:
GABES: A genetic algorithm based environment for SEU testing in SRAM-FPGAs. J. Syst. Archit. 59(10-D): 1243-1254 (2013) - [j8]Marco Avvenuti, Daniel Cesarini, Mario G. C. A. Cimino:
MARS, a Multi-Agent System for Assessing Rowers' Coordination via Motion-Based Stigmergy. Sensors 13(9): 12218-12243 (2013) - 2012
- [j7]Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Alessandro Ciaramella:
An adaptive rule-based approach for managing situation-awareness. Expert Syst. Appl. 39(12): 10796-10811 (2012) - [j6]Mario G. C. A. Cimino, Francesco Marcelloni:
An efficient model-based methodology for developing device-independent mobile applications. J. Syst. Archit. 58(8): 286-304 (2012) - [p1]Mario G. C. A. Cimino, Francesco Marcelloni:
Enabling Traceability in the Wine Supply Chain. ArtDeco 2012: 397-412 - 2011
- [j5]Mario G. C. A. Cimino, Francesco Marcelloni:
Autonomic tracing of production processes with mobile and agent-based computing. Inf. Sci. 181(5): 935-953 (2011) - [c11]Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Giovanna Castellano, Anna Maria Fanelli, Maria Alessandra Torsello:
A collaborative situation-aware scheme for mobile service recommendation. ISDA 2011: 130-135 - [c10]Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Witold Pedrycz:
Granular Data Regression with Neural Networks. WILF 2011: 172-179 - 2010
- [j4]Alessandro Ciaramella, Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni:
A Situation-Aware Resource Recommender Based on Fuzzy and Semantic Web Rules. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 18(4): 411-430 (2010) - [c9]Alessandro Ciaramella, Mario G. C. A. Cimino, Francesco Marcelloni, Umberto Straccia:
Combining Fuzzy Logic and Semantic Web to Enable Situation-Awareness in Service Recommendation. DEXA (1) 2010: 31-45 - [c8]Alessandro Ciaramella, Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni:
Using context history to personalize a resource recommender via a genetic algorithm. ISDA 2010: 965-970
2000 – 2009
- 2009
- [j3]Mario G. C. A. Cimino, Witold Pedrycz, Beatrice Lazzerini, Francesco Marcelloni:
Using multilayer perceptrons as receptive fields in the design of neural networks. Neurocomputing 72(10-12): 2536-2548 (2009) - [c7]Alessandro Ciaramella, Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni:
Using BPMN and Tracing for Rapid Business Process Prototyping Environments. ICEIS (3) 2009: 206-212 - [c6]Alessandro Ciaramella, Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni:
Situation-Aware Mobile Service Recommendation with Fuzzy Logic and Semantic Web. ISDA 2009: 1037-1042 - 2008
- [j2]Alessio Bechini, Mario G. C. A. Cimino, Francesco Marcelloni, Andrea Tomasi:
Patterns and technologies for enabling supply chain traceability through collaborative e-business. Inf. Softw. Technol. 50(4): 342-359 (2008) - 2007
- [b1]Mario G. C. A. Cimino:
Clustering in non-metric spaces. University of Pisa, Italy, 2007 - 2006
- [j1]Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni:
A novel approach to fuzzy clustering based on a dissimilarity relation extracted from data using a TS system. Pattern Recognit. 39(11): 2077-2091 (2006) - 2005
- [c5]Alessio Bechini, Mario G. C. A. Cimino, Andrea Tomasi:
Using ebXML for Supply Chain Traceability. I3E 2005: 497-511 - [c4]Alessio Bechini, Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Andrea Tomasi:
A General Framework for Food Traceability. SAINT Workshops 2005: 366-369 - [c3]Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Andrea Tomasi:
Cerere: an information system supporting traceability in the food supply chain. CEC Workshops 2005: 90-98 - 2004
- [c2]Mario G. C. A. Cimino, Graziano Frosini, Beatrice Lazzerini, Francesco Marcelloni:
On the Noise Distance in Robust Fuzzy C-Means. International Conference on Computational Intelligence 2004: 361-364 - 2003
- [c1]Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni:
Relational clustering based on a dissimilarity relation extracted from data by a TS model. SMC 2003: 3194-3199
Coauthor Index
Antonio L. Alfeo
aka: Antonio Luca Alfeo
aka: Antonio Luca Alfeo
Federico Galatolo
aka: Federico A. Galatolo
aka: Federico A. Galatolo
[c48] [c46] [c45] [c44] [j32] [j31] [j30] [j29] [c37] [c35] [c34] [c33] [c32] [i14] [j28] [j27] [i13] [j26] [j25] [c31] [c30] [c29] [c28] [c27] [p2] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [c26] [c25] [c24] [i5] [i4] [i3] [j17] [j16] [c23] [c22] [c21] [c20] [c19] [i2] [c18] [c17] [c16] [c15] [j15] [c14] [c13] [c12] [i1] [j13] [j11]
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