Multi agent systems for circuit tolerance and sensitivity analysis. - Massimo De Santo; Nicola Femia; Mario Molinara; Giovanni Spagnuolo (ISCAS (5), 2001)

On the Applicability of the MultiAgent System Paradigm for Parsing Videos. - Massimo De Santo; Mario Molinara; Gennaro Percannella (HICSS, 2002)

Automatic classification of clustered microcalcifications by a multiple expert system. - Massimo De Santo; Mario Molinara; Francesco Tortorella; Mario Vento (Pattern Recognit., 2003)

Individuazione degli shot in filmati MPEG mediante un approccio multi-esperto. - Mario Molinara (2003)

Detection of Microcalcifications Clusters in Mammograms through TS-MRF Segmentation and SVM-based Classification. - Ciro D'Elia; Claudio Marrocco; Mario Molinara; Giovanni Poggi; Giuseppe Scarpa; Francesco Tortorella (ICPR (3), 2004)

SVM Based Regression Schemes for Instruments Fault Accommodation in Automotive Systems. - Domenico Capriglione; Claudio Marrocco; Mario Molinara; Francesco Tortorella (ICIAP, 2005)

Estimating the ROC Curve of Linearly Combined Dichotomizers. - Claudio Marrocco; Mario Molinara; Francesco Tortorella (ICIAP, 2005)

Algorithms for Detecting Clusters of Microcalcifications in Mammograms. - Claudio Marrocco; Mario Molinara; Francesco Tortorella (ICIAP, 2005)

SVM-based approach for instrument fault accomodation in automotive systems. - Giovanni Betta; Andrea Bernieri; Domenico Capriglione; Mario Molinara (VECIMS, 2005)

AUC-Based Linear Combination of Dichotomizers. - Claudio Marrocco; Mario Molinara; Francesco Tortorella (SSPR/SPR, 2006)

Exploiting AUC for optimal linear combinations of dichotomizers. - Claudio Marrocco; Mario Molinara; Francesco Tortorella (Pattern Recognit. Lett., 2006)

Facing Imbalanced Classes through Aggregation of Classifiers. - Mario Molinara; Maria Teresa Ricamato; Francesco Tortorella (ICIAP, 2007)

An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules. - Claudio Marrocco; Mario Molinara; Francesco Tortorella (MLDM, 2007)

Detection of Clusters of Microcalcifications in Mammograms: A Multi Classifier Approach. - Ciro D'Elia; Claudio Marrocco; Mario Molinara; Francesco Tortorella (CBMS, 2008)

A Dynamic Programming approach for segmenting digital planar curves into line segments and circular arcs. - Francesco Tortorella; Rossella Patraccone; Mario Molinara (ICPR, 2008)

Crack Shape Reconstruction in Eddy Current Testing Using Machine Learning Systems for Regression. - Andrea Bernieri; Luigi Ferrigno; Marco Laracca; Mario Molinara (IEEE Trans. Instrum. Meas., 2008)

Towards a Linear Combination of Dichotomizers by Margin Maximization. - Claudio Marrocco; Mario Molinara; Maria Teresa Ricamato; Francesco Tortorella (ICIAP, 2009)

A computer-aided detection system for clustered microcalcifications. - Claudio Marrocco; Mario Molinara; Ciro D'Elia; Francesco Tortorella (Artif. Intell. Medicine, 2010)

A multidisciplinary approach to the design and development of a CAD system for the detection of clustered microcalcifications. - Claudio Marrocco; Mario Molinara; Francesco Tortorella; Alfredo Ferrarotti; Pierluigi Rinaldi; Lorenzo Bonomo; Cesare Aragno; Salvatore Schiano lo Moriello (CBMS, 2011)

Exploring Cascade Classifiers for Detecting Clusters of Microcalcifications. - Claudio Marrocco; Mario Molinara; Francesco Tortorella (ICIAP (1), 2011)

Selection Strategies for pAUC-Based Combination of Dichotomizers. - Maria Teresa Ricamato; Mario Molinara; Francesco Tortorella (MCS, 2011)

On Linear Combinations of Dichotomizers for Maximizing the Area Under the ROC Curve. - Claudio Marrocco; Mario Molinara; Francesco Tortorella (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Detection of cluster of microcalcifications based on watershed segmentation algorithm. - Claudio Marrocco; Mario Molinara; Francesco Tortorella; Pierluigi Rinaldi; Lorenzo Bonomo; Alfredo Ferrarotti; Cesare Aragno; Salvatore Schiano lo Moriello (CBMS, 2012)

A ranking-based cascade approach for unbalanced data. - Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella (ICPR, 2012)

Detecting Clusters of Microcalcifications with a Cascade-Based Approach. - Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella (Digital Mammography / IWDM, 2012)

Cascaded Rank-Based Classifiers for Detecting Clusters of Microcalcifications. - Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella (AIME, 2013)

Automatic segmentation of the pectoral muscle in mediolateral oblique mammograms. - Mario Molinara; Claudio Marrocco; Francesco Tortorella (CBMS, 2013)

A Boosting-Based Approach to Refine the Segmentation of Masses in Mammography. - Mario Molinara; Claudio Marrocco; Francesco Tortorella (ICIAP (2), 2013)

Deep Cascade Classifiers to Detect Clusters of Microcalcifications. - Alessandro Bria; Claudio Marrocco; Nico Karssemeijer; Mario Molinara; Francesco Tortorella (Digital Mammography / IWDM, 2016)

LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms. - Alessandro Bria; Claudio Marrocco; Jan-Jurre Mordang; Nico Karssemeijer; Mario Molinara; Francesco Tortorella (Digital Mammography / IWDM, 2016)

An effective learning strategy for cascaded object detection. - Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella (Inf. Sci., 2016)

The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks. - Agnese Marchesi; Alessandro Bria; Claudio Marrocco; Mario Molinara; Jan-Jurre Mordang; Francesco Tortorella; Nico Karssemeijer (CBMS, 2017)

Illumination Correction by Dehazing for Retinal Vessel Segmentation. - Benedetta Savelli; Alessandro Bria; Adrian Galdran; Claudio Marrocco; Mario Molinara; Aurélio J. C. Campilho; Francesco Tortorella (CBMS, 2017)

Online Anomaly Detection on Rain Gauge Networks for Robust Alerting Services to Citizens at Risk from Flooding. - Grazia Fattoruso; Annalisa Agresta; Saverio De Vito; Antonio Buonanno; Mario Molinara; Claudio Marrocco; Francesco Tortorella; Girolamo Di Francia (ICCSA (3), 2017)

Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets. - Alessandro Bria; Claudio Marrocco; Adrian Galdran; Aurélio Campilho; Agnese Marchesi; Jan-Jurre Mordang; Nico Karssemeijer; Mario Molinara; Francesco Tortorella (ICIAP (2), 2017)

Retinal Vessel Segmentation Through Denoising and Mathematical Morphology. - Benedetta Savelli; Agnese Marchesi; Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella (ICIAP (2), 2017)

Preliminary realization of a monitoring system of activated carbon filter RLI based on the SENSIPLUS® microsensor platform. - Gianni Cerro; Marco Ferdinandi; Luigi Ferrigno; Mario Molinara (M&N, 2017)

Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets. - Alessandro Bria; Claudio Marrocco; Mario Molinara; Benedetta Savelli; Jan-Jurre Mordang; Nico Karssemeijer; Francesco Tortorella (IWBI, 2018)

Mammogram denoising to improve the calcification detection performance of convolutional nets. - Claudio Marrocco; Alessandro Bria; Valerio Di Sano; Lucas R. Borges; Benedetta Savelli; Mario Molinara; Jan-Jurre Mordang; Nico Karssemeijer; Francesco Tortorella (IWBI, 2018)

A deep learning framework for micro-calcification detection in 2D mammography and C-view. - Giovanni Trovini; Christian Napoli 001; Robert Marti; Amaya Martin; Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella; Oliver Díaz (IWBI, 2018)

A Novel Integrated Smart System for Indoor Air Monitoring and Gas Recognition. - Paolo Bruschi; Gianni Cerro; Lorenzo Colace; Andrea De Iacovo; Simone Del Cesta; Marco Ferdinandi; Luigi Ferrigno; Mario Molinara; Andrea Ria; Roberto Simmarano; Francesco Tortorella; Carlo Venettacci (SMARTCOMP, 2018)

Metrological Characterization of a Novel Microsensor Platform for Activated Carbon Filters Monitoring. - Gianni Cerro; Marco Ferdinandi; Luigi Ferrigno; Marco Laracca; Mario Molinara (IEEE Trans. Instrum. Meas., 2018)

Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization. - Alessandro Bria; Claudio Marrocco; Lucas R. Borges; Mario Molinara; Agnese Marchesi; Jan-Jurre Mordang; Nico Karssemeijer; Francesco Tortorella (IEEE Trans. Medical Imaging, 2018)

Handwriting Analysis to Support Alzheimer's Disease Diagnosis: A Preliminary Study. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Molinara; Alessandra Scotto di Freca (CAIP (2), 2019)

A Two-Step System Based on Deep Transfer Learning for Writer Identification in Medieval Books. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (CAIP (2), 2019)

Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms. - Benedetta Savelli; Claudio Marrocco; Alessandro Bria; Mario Molinara; Francesco Tortorella (CAIP Workshops, 2019)

Using Handwriting Features to Characterize Cognitive Impairment. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Molinara; Alessandra Scotto di Freca (ICIAP (2), 2019)

Minimizing Training Data for Reliable Writer Identification in Medieval Manuscripts. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Molinara; Alessandra Scotto di Freca (ICIAP Workshops, 2019)

A Page-Based Reject Option for Writer Identification in Medieval Books. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (ICIAP Workshops, 2019)

A Novel Smart System for Contaminants Detection and Recognition in Water. - Marco Ferdinandi; Mario Molinara; Gianni Cerro; Luigi Ferrigno; Claudio Marrocco; Alessandro Bria; Pino Di Meo; Carmine Bourelly; Roberto Simmarano (SMARTCOMP, 2019)

HeritageGO (HeGO): A Social Media Based Project for Cultural Heritage Valorization. - Francesco Fontanella; Mario Molinara; Arturo Gallozzi; Michela Cigola; Luca J. Senatore; Riccardo Florio; Paolo Clini; Flavio Celis D'Amico (UMAP (Adjunct Publication), 2019)

Contaminants detection and classification through a customized IoT-based platform: A case study. - Giovanni Betta; Gianni Cerro; Marco Ferdinandi; Luigi Ferrigno; Mario Molinara (IEEE Instrum. Meas. Mag., 2019)

Deep Transfer Learning for Alzheimer's disease detection. - Nicole Dalia Cilia; Claudio De Stefano; Claudio Marrocco; Francesco Fontanella; Mario Molinara; Alessandra Scotto di Freca (ICPR, 2020)

A Preliminary Solution for Anomaly Detection in Water Quality Monitoring. - Carmine Bourelly; Alessandro Bria; Luigi Ferrigno; Luca Gerevini; Claudio Marrocco; Mario Molinara; Gianni Cerro; Mattia Cicalini; Andrea Ria (SMARTCOMP, 2020)

An End to End Indoor Air Monitoring System Based on Machine Learning and SENSIPLUS Platform. - Mario Molinara; Marco Ferdinandi; Gianni Cerro; Luigi Ferrigno; Ettore Massera (IEEE Access, 2020)

A multi-context CNN ensemble for small lesion detection. - Benedetta Savelli; Alessandro Bria; Mario Molinara; Claudio Marrocco; Francesco Tortorella (Artif. Intell. Medicine, 2020)

An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (J. Imaging, 2020)

An IoT-ready solution for automated recognition of water contaminants. - Alessandro Bria; Gianni Cerro; Marco Ferdinandi; Claudio Marrocco; Mario Molinara (Pattern Recognit. Lett., 2020)

What is the minimum training data size to reliably identify writers in medieval manuscripts? - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Molinara; Alessandra Scotto di Freca (Pattern Recognit. Lett., 2020)

An end-to-end deep learning system for medieval writer identification. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (Pattern Recognit. Lett., 2020)

Pattern recognition and artificial intelligence techniques for cultural heritage. - Francesco Fontanella; Francesco Colace; Mario Molinara; Alessandra Scotto di Freca; Filippo Stanco (Pattern Recognit. Lett., 2020)

A Novel Evolutionary Approach for IoT-Based Water Contaminant Detection. - Claudio De Stefano; Luigi Ferrigno; Francesco Fontanella; Luca Gerevini; Mario Molinara (EvoApplications, 2021)

A False Positive Reduction System For Continuous Water Quality Monitoring. - Alessandro Bria; Luigi Ferrigno; Luca Gerevini; Claudio Marrocco; Mario Molinara; Paolo Bruschi; Mattia Cicalini; Giuseppe Manfredini; Andrea Ria; Gianni Cerro; Roberto Simmarano; Giovanni Teolis; et al. (SMARTCOMP, 2021)

HeGO, a Social Game as a Tool for Cultural Heritage Valorization: The Case Study of the Atina Historical Center. - Francesco Fontanella; Mario Molinara; Arturo Gallozzi; Michela Cigola; Luca J. Senatore; Riccardo Florio; Paolo Clini; Flavio Celis D'Amico (ACM Journal on Computing and Cultural Heritage, 2021)

Artificial intelligence for distributed smart systems. - Mario Molinara; Alessandro Bria; Saverio De Vito; Claudio Marrocco (Pattern Recognit. Lett., 2021)

From Online Handwriting to Synthetic Images for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach. - Nicole Dalia Cilia; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Mario Molinara (IEEE J. Biomed. Health Informatics, 2021)

Transfer Learning in Breast Mass Detection on the OMI-DB Dataset: A Preliminary Study. - Marya Ryspayeva; Mario Molinara; Alessandro Bria; Claudio Marrocco; Francesco Tortorella (ICPR Workshops (1), 2022)

An Open Source C Code Generator and a Tiny Machine Learning Toolchain for the SENSIPLUS Platform. - Alessandro Bria; Luigi Ferrigno; Claudio Marrocco; Mario Molinara; Michele Vitelli; Andrea Ria; Mattia Cicalini; Giuseppe Manfredini; Paolo Bruschi (SMARTCOMP, 2022)

A new Dataset for Detection of Illegal or Suspicious Spilling in Wastewater through Low-cost Real-time Sensors. - Mario Molinara; Carmine Bourelly; Luigi Ferrigno; Luca Gerevini; Michele Vitelli; Andrea Ria; Francesco Magliocca; L. Ruscitti; Roberto Simmarano; A. Trynda; P. Olejnik (SMARTCOMP, 2022)

Modeling of Ferrite Inductors Power Loss Based on Genetic Programming and Neural Networks. - Giulia Di Capua; Mario Molinara; Francesco Fontanella; Claudio De Stefano; Nunzio Oliva; Nicola Femia (WIVACE, 2022)

A Deep Learning Approach to Organic Pollutants Classification Using Voltammetry. - Mario Molinara; Rocco Cancelliere; Alessio Di Tinno; Luigi Ferrigno; Mikhail V. Shuba; Polina Kuzhir; Antonio Maffucci; Laura Micheli (Sensors, 2022)

Evolutionary Computation to Implement an IoT-Based System for Water Pollution Detection. - Claudio De Stefano; Luigi Ferrigno; Francesco Fontanella; Luca Gerevini; Mario Molinara (SN Comput. Sci., 2022)

Using Genetic Programming to Learn Behavioral Models of Lithium Batteries. - Giulia Di Capua; Carmine Bourelly; Claudio De Stefano; Francesco Fontanella; Filippo Milano; Mario Molinara; Nunzio Oliva; Francesco Porpora (EvoApplications@EvoStar, 2023)

A Novel Writer Identification Approach for Greek Papyri Images. - Nicole Dalia Cilia; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Isabelle Marthot-Santaniello; Mario Molinara; Alessandra Scotto di Freca (ICIAP Workshops (2), 2023)

Breast Mass Detection and Classification Using Transfer Learning on OPTIMAM Dataset Through RadImageNet Weights. - Ruth Kehali Kassahun; Mario Molinara; Alessandro Bria; Claudio Marrocco; Francesco Tortorella (ICIAP Workshops (2), 2023)

End-to-End Asbestos Roof Detection on Orthophotos Using Transformer-Based YOLO Deep Neural Network. - Cesare Davide Pace; Alessandro Bria; Mariano Focareta; Gabriele Lozupone; Claudio Marrocco; Giuseppe Meoli; Mario Molinara (ICIAP (1), 2023)

A Statistical Approach for Electrochemical Impedance Spectroscopy Analysis on LFP Batteries' State of Charge. - Luca Tari; Carmine Bourelly; Michele Vitelli; Filippo Milano; Mario Molinara; Luigi Ferrigno (MetroInd4.0&IoT, 2023)

EIS-Based SoC Estimation: A Novel Measurement Method for Optimizing Accuracy and Measurement Time. - Carmine Bourelly; Michele Vitelli; Filippo Milano; Mario Molinara; Francesco Fontanella; Luigi Ferrigno (IEEE Access, 2023)

Detection of Wastewater Pollution Through Natural Language Generation With a Low-Cost Sensing Platform. - Kevin Roitero; Beatrice Portelli; Giuseppe Serra 001; Vincenzo Della Mea; Stefano Mizzaro; Gianni Cerro; Michele Vitelli; Mario Molinara (IEEE Access, 2023)

Predicting physical activity levels from kinematic gait data using machine learning techniques. - Svonko Galasso; Renato Baptista; Mario Molinara; Serena Pizzocaro; Rocco Salvatore Calabrò; Alessandro Marco De Nunzio (Eng. Appl. Artif. Intell., 2023)

Load Profile Analysis in Electrical Systems: The Impact of Electrical Signature and Monitoring Quality in the Energy Digitalization Process. - Luca Tari; Mario Molinara; Luigi Ferrigno (IEEE Trans. Instrum. Meas., 2023)

An end-to-end real-time pollutants spilling recognition in wastewater based on the IoT-ready SENSIPLUS platform. - Luca Gerevini; Gianni Cerro; Alessandro Bria; Claudio Marrocco; Luigi Ferrigno; Michele Vitelli; Andrea Ria; Mario Molinara (J. King Saud Univ. Comput. Inf. Sci., 2023)

SENSIPLUS-LM: A Low-Cost EIS-Enabled Microchip Enhanced with an Open-Source Tiny Machine Learning Toolchain. - Michele Vitelli; Gianni Cerro; Luca Gerevini; Gianfranco Miele; Andrea Ria; Mario Molinara (Comput., 2023)

Transformer-based mass detection in digital mammograms. - Amparo S. Betancourt Tarifa; Claudio Marrocco; Mario Molinara; Francesco Tortorella; Alessandro Bria (J. Ambient Intell. Humaniz. Comput., 2023)

Comparative Analysis of SoC Estimation in Batteries Using SFRA and EIS. - Alessio Miele; Michele Vitelli; Alessandro Sardellitti; Filippo Milano; Mario Molinara; Luigi Ferrigno; Fabrizio Ciancetta; Simone Mari (AMPS, 2024)

A Deep Learning System for Water Pollutant Detection Based on the SENSIPLUS Microsensor. - Hamza Mustafa; Mario Molinara; Luigi Ferrigno; Michele Vitelli (ICPR (23), 2024)

Markerless Machine Learning Approach for Gait Classification in Knee Osteoarthritis. - Cesare Davide Pace; Alessandro Marco De Nunzio; Claudio De Stefrano; Francesco Fontanella; Mario Molinara (ICPR (Workshops and Challenges, 2), 2024)

UniCas for Medicine and Healthcare. - Marco Cantone; Svonko Galasso; Gabriele Lozupone; Emanuele Nardone; Cesare Davide Pace; Ciro Russo; Alessandro Bria; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; et al. (Ital-IA, 2024)

UniCas for Industry. - Alessio Miele; Hamza Mustafa; Michele Vitelli; Alessandro Bria; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (Ital-IA, 2024)

A Novel Measurement Procedure for Error Correction in Single Camera Gait Analysis. - Svonko Galasso; Chiara Carissimo; Gianni Cerro; Mario Molinara; Luigi Ferrigno; Rocco Salvatore Calabrò; Alessandro Marco De Nunzio (IEEE Access, 2024)

Illegal Microdumps Detection in Multi-Mission Satellite Images With Deep Neural Network and Transfer Learning Approach. - Claudio Marrocco; Alessandro Bria; Francesco Tortorella; Sara Parrilli; Luca Cicala; Mariano Focareta; Giuseppe Meoli; Mario Molinara (IEEE Access, 2024)

Profiling Running Applications in Connected Devices Through Side-Channel and Machine Learning Techniques. - Vincenzo Rega; Domenico Capriglione; Fabrizio Marignetti; Mario Molinara; Andrea Amodei (IEEE Access, 2024)

Transfer learning in breast mass detection and classification. - Marya Ryspayeva; Alessandro Bria; Claudio Marrocco; Francesco Tortorella; Mario Molinara (J. Ambient Intell. Humaniz. Comput., 2024)

Preliminary Evaluation of Machine Learning Approaches for PANTONE Color Classification with the SENSIPATCH wearable system. - Hamza Mustafa; Michele Vitelli; Filippo Milano; Mario Molinara; Luigi Ferrigno; Andrea Ria; Federico Fina; Fabio Leccese (I2MTC, 2025)

Numerical modeling for lithium iron phosphate batteries. - B. Palmieri; A. Martone; Alessio Miele; Filippo Milano; Mario Molinara; Luigi Ferrigno; Gianni Cerro; Marco Laracca (I2MTC, 2025)

Machine Learning and Genetic Programming-based behavioral modeling approaches of Li-ion Batteries. - Giulia Di Capua; Mario Molinara; Antonio Maffucci; Francesco Porpora; Nicola Femia; Nunzio Oliva (ISCAS, 2025)

Evaluation of Deep Learning Models for State of Charge Estimation for Lithium Batteries Using Image-Encoded Electrochemical Impedance Spectroscopy Data. - Hamza Mustafa; Michele Vitelli; Filippo Milano; Mario Molinara; Luigi Ferrigno (MetroAutomotive, 2025)

Side-Channel Measurements and Machine Learning for Classifying Application-Level Scenarios in IoT Contexts. - Vincenzo Rega; Luca Tari; Domenico Capriglione; Mario Molinara; Fabrizio Marignetti (MetroInd4.0 & IoT, 2025)

Poseidon: A ViT-based Architecture for Multi-Frame Pose Estimation with Adaptive Frame Weighting and Multi-Scale Feature Fusion. - Cesare Davide Pace; Alessandro Marco De Nunzio; Claudio De Stefano; Francesco Fontanella; Mario Molinara (CoRR, 2025)