Relational clustering based on a dissimilarity relation extracted from data by a TS model. - Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni (SMC, 2003)

On the Noise Distance in Robust Fuzzy C-Means. - Mario G. C. A. Cimino; Graziano Frosini; Beatrice Lazzerini; Francesco Marcelloni (International Conference on Computational Intelligence, 2004)

Using ebXML for Supply Chain Traceability. - Alessio Bechini; Mario G. C. A. Cimino; Andrea Tomasi (I3E, 2005)

A General Framework for Food Traceability. - Alessio Bechini; Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni; Andrea Tomasi (SAINT Workshops, 2005)

Cerere: an information system supporting traceability in the food supply chain. - Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni; Andrea Tomasi (CEC Workshops, 2005)

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)

Clustering in non-metric spaces. - Mario G. C. A. Cimino (2007)

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)

Using BPMN and Tracing for Rapid Business Process Prototyping Environments. - Alessandro Ciaramella; Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni (ICEIS (3), 2009)

Situation-Aware Mobile Service Recommendation with Fuzzy Logic and Semantic Web. - Alessandro Ciaramella; Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni (ISDA, 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)

Combining Fuzzy Logic and Semantic Web to Enable Situation-Awareness in Service Recommendation. - Alessandro Ciaramella; Mario G. C. A. Cimino; Francesco Marcelloni; Umberto Straccia (DEXA (1), 2010)

Using context history to personalize a resource recommender via a genetic algorithm. - Alessandro Ciaramella; Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni (ISDA, 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)

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 (ISDA, 2011)

Granular Data Regression with Neural Networks. - Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni; Witold Pedrycz (WILF, 2011)

Autonomic tracing of production processes with mobile and agent-based computing. - Mario G. C. A. Cimino; Francesco Marcelloni (Inf. Sci., 2011)

An adaptive rule-based approach for managing situation-awareness. - Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni; Alessandro Ciaramella (Expert Syst. Appl., 2012)

An efficient model-based methodology for developing device-independent mobile applications. - Mario G. C. A. Cimino; Francesco Marcelloni (J. Syst. Archit., 2012)

Enabling Traceability in the Wine Supply Chain. - Mario G. C. A. Cimino; Francesco Marcelloni (ArtDeco, 2012)

An Emergent Approach to Text Analysis Based on a Connectionist Model and the Web. - Mario G. C. A. Cimino; Gigliola Vaglini (Algorithms, 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)

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)

MARS, a Multi-Agent System for Assessing Rowers' Coordination via Motion-Based Stigmergy. - Marco Avvenuti; Daniel Cesarini; Mario G. C. A. Cimino (Sensors, 2013)

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)

An Interval-Valued Approach to Business Process Simulation Based on Genetic Algorithms and the BPMN. - Mario G. C. A. Cimino; Gigliola Vaglini (Inf., 2014)

Genetic interval neural networks for granular data regression. - Mario G. C. A. Cimino; Beatrice Lazzerini; Francesco Marcelloni; Witold Pedrycz (Inf. Sci., 2014)

Improving the Analysis of Context-Aware Information via Marker-Based Stigmergy and Differential Evolution. - Mario G. C. A. Cimino; Alessandro Lazzeri; Gigliola Vaglini (ICAISC, 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 (IISA, 2015)

Combining stigmergic and flocking behaviors to coordinate swarms of drones performing target search. - Mario G. C. A. Cimino; Alessandro Lazzeri; Gigliola Vaglini (IISA, 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)

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)

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 (ICPRAM, 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 (ICPRAM, 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 (MobiHealth, 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 (MobiHealth, 2016)

Localization and Inhibition of Malicious Behaviors through a Model Checking based Methodology. - Mario Giovanni C. A. Cimino; Gigliola Vaglini (ICISSP, 2017)

Measuring Physical Activity of Older Adults via Smartwatch and Stigmergic Receptive Fields. - Antonio L. Alfeo; Mario G. C. A. Cimino; Gigliola Vaglini (ICPRAM, 2017)

Spikiness Assessment of Term Occurrences in Microblogs: An Approach based on Computational Stigmergy. - Mario G. C. A. Cimino; Federico A. Galatolo; Alessandro Lazzeri; Witold Pedrycz; Gigliola Vaglini (ICPRAM, 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 (MobiHealth, 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 (SBP-BRiMS, 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)

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)

Detection and Mapping of a Toxic Cloud Using UAVs and Emergent Techniques. - Marco Avvenuti; Mario Giovanni C. A. Cimino; Guglielmo Cola; Gigliola Vaglini (MIKE, 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 (MIKE, 2018)

Using Stigmergy to Incorporate the Time into Artificial Neural Networks. - Federico A. Galatolo; Mario Giovanni C. A. Cimino; Gigliola Vaglini (MIKE, 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)

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)

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)

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)

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)

Using Stigmergy to Distinguish Event-Specific Topics in Social Discussions. - Mario G. C. A. Cimino; Alessandro Lazzeri; Witold Pedrycz; Gigliola Vaglini (Sensors, 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 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 (Data for Refugees Challenge, 2019)

Detecting Permanent and Intermittent Purchase Hotspots via Computational Stigmergy. - Antonio L. Alfeo; Mario G. C. A. Cimino; Bruno Lepri; Alex Pentland; Gigliola Vaglini (ICPRAM, 2019)

Adaptive Exploration of a UAVs Swarm for Distributed Targets Detection and Tracking. - Mario G. C. A. Cimino; Massimiliano Lega; Manilo Monaco; Gigliola Vaglini (ICPRAM, 2019)

Using Stigmergy as a Computational Memory in the Design of Recurrent Neural Networks. - Federico A. Galatolo; Mario G. C. A. Cimino; Gigliola Vaglini (ICPRAM, 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 (ICRA, 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 (ISCT, 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)

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)

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)

Using an autoencoder in the design of an anomaly detector for smart manufacturing. - Antonio L. Alfeo; Mario G. C. A. Cimino; Giuseppe Manco 001; Ettore Ritacco; Gigliola Vaglini (Pattern Recognit. Lett., 2020)

A Real-Time Deep Learning Approach for Real-World Video Anomaly Detection. - Stefano Petrocchi; Giacomo Giorgi; Mario G. C. A. Cimino (ARES, 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 (EMBC, 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 (EUC, 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 (IGARSS, 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 (IGARSS, 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 (IMPROVE, 2021)

Noise Boosted Neural Receptive Fields. - Federico A. Galatolo; Mario G. C. A. Cimino; Alessandro Marincioni; Gigliola Vaglini (SSCI, 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)

Solving the scalarization issues of Advantage-based Reinforcement Learning algorithms. - Federico A. Galatolo; Mario G. C. A. Cimino; Gigliola Vaglini (Comput. Electr. Eng., 2021)

Technological troubleshooting based on sentence embedding with deep transformers. - Antonio L. Alfeo; Mario G. C. A. Cimino; Gigliola Vaglini (J. Intell. Manuf., 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)

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 (CogSIMA, 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 (CogSIMA, 2022)

Convolutional Neural Networks for Structural Damage Localization on Digital Twins. - Marco Parola; Federico A. Galatolo; Matteo Torzoni; Mario G. C. A. Cimino (DeLTA (Selected Papers), 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 (DeLTA, 2022)

Zero-shot Mathematical Problem Solving via Generative Pre-trained Transformers. - Federico A. Galatolo; Mario G. C. A. Cimino; Gigliola Vaglini (ICEIS (1), 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 (ICEIS (1), 2022)

Improving an Ensemble of Neural Networks via a Novel Multi-class Decomposition Schema. - Antonio L. Alfeo; Mario G. C. A. Cimino; Guido Gagliardi (IJCCI, 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 (IJCCI, 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 (IN4PL, 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 (SMARTGREENS/VEHITS (Selected Papers), 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 (VEHITS, 2022)

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 (DATA, 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 (DATA, 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 (GECCO, 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 (GISTAM, 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 (GISTAM (Selected Papers), 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 (ICEIS (1), 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 (ICPRAM, 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 002; Vladimir Carli; Vincenzo Catrambone; Mario G. C. A. Cimino; Gabriela Dudnik; Andrea Duggento; Matteo Ferrante; Claudio Gentili; Jaime Guixeres; et al. (MetroXRAINE, 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 (NER, 2023)

Matching the Expert's Knowledge via a Counterfactual-Based Feature Importance Measure. - Antonio Luca Alfeo; Mario G. C. A. Cimino; Guido Gagliardi (PKDD/ECML Workshops (3), 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 (SSCI, 2023)

Image-Based Screening of Oral Cancer via Deep Ensemble Architecture. - Marco Parola; Gaetano La Mantia; Federico A. Galatolo; Mario G. C. A. Cimino; Giuseppina Campisi; Olga Di Fede (SSCI, 2023)

Impressionist Hole Detection and Healing Using Swarms of Agents with Quantized Perception. - Giada Simionato; Marco Parola; Mario G. C. A. Cimino (SSCI, 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)

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)

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., 2023)

Blockchain-based Shared Additive Manufacturing. - Francesco Lupi; Mario G. C. A. Cimino; Tomaz Berlec; Federico A. Galatolo; Marko Corn; Nejc Rozman; Andrea Rossi 001; Michele Lanzetta (Comput. Ind. Eng., 2023)

Interpretable Machine Learning for Oral Lesion Diagnosis Through Prototypical Instances Identification. - Alessio Cascione; Mattia Setzu; Federico A. Galatolo; Mario G. C. A. Cimino; Riccardo Guidotti (DS (2), 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 (GISTAM, 2024)

A Machine Learning Workflow to Address Credit Default Prediction. - Rambod Rahmani; Marco Parola; Mario G. C. A. Cimino (ICEIS (1), 2024)

Counterfactual-Based Feature Importance for Explainable Regression of Manufacturing Production Quality Measure. - Antonio L. Alfeo; Mario G. C. A. Cimino (ICPRAM, 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 (IGARSS, 2024)

High Resolution Mapping of Vegetation Biodiversity by Hyperspectral Images and Convolutional Autoencoders. - Giovanni Nico; Manilo Monaco; Olimpia Masci; Mario G. C. A. Cimino (IGARSS, 2024)

An Overview On Large Language Models Across Key Domains: A Systematic Review. - Mattia Bruscia; Graziano A. Manduzio; Federico A. Galatolo; Mario G. C. A. Cimino; Alberto Greco 001; Lorenzo Cominelli; Enzo Pasquale Scilingo (MetroXRAINE, 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)

Swarm intelligence for hole detection and healing in wireless sensor networks. - Giada Simionato; Mario G. C. A. Cimino (Comput. Networks, 2024)

Improving Small-Scale Large Language Models Function Calling for Reasoning Tasks. - Graziano A. Manduzio; Federico A. Galatolo; Mario G. C. A. Cimino; Enzo Pasquale Scilingo; Lorenzo Cominelli (CoRR, 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., 2024)

Optimizing sparse topologies via competitive joint unstructured neural networks. - Federico A. Galatolo; Mario G. C. A. Cimino (Prog. Artif. Intell., 2024)

Deep Learning-Based Classification of Social Anxiety Disorder Using Continuous Self-Reported Anxiety in Virtual Reality. - Marco Pardini; Sergio Frumento; Matteo Martini; Gianluca Rho; Valerio Vatteroni; Krishant Tharun; Martina Alaimo; Federico A. Galatolo; Martina De Marinis; Enzo Pasquale Scilingo; Danilo Menicucci; Mario G. C. A. Cimino; et al. (MeMeA, 2025)

EEG-based motor imagery recognition via novel explainable ensemble learning architecture. - Antonio L. Alfeo; Vincenzo Catrambone; Mario G. C. A. Cimino; Gaetano Valenza (Neural Comput. Appl., 2025)