Soft-Computing Agents Processing Webcam Images to Optimize Metropolitan Traffic Systems. - Alberto Faro; Daniela Giordano; Concetto Spampinato (ICCVG, 2004)

Transcranial Magnetic Stimulation (TMS) to Evaluate and Classify Mental Diseases Using Neural Networks. - Alberto Faro; Daniela Giordano; Manuela Pennisi; Giacomo Scarciofalo; Concetto Spampinato; Francesco Tramontana (AIME, 2005)

A Fuzzy System to Analyze SIVD Diseases Using the Transcranial Magnetic Stimulation. - Alberto Faro; Daniela Giordano; Manuela Pennisi; Giacomo Scarciofalo; Concetto Spampinato; Francesco Tramontana (WEC (2), 2005)

An Automated Tool for Face Recognition using Visual Attention and Active Shape Models Analysis. - Alberto Faro; Daniela Giordano; Concetto Spampinato (EMBC, 2006)

A Multi-Facets Analysis of the Driver Status by EEG and Fuzzy Hardware Processing. - Alberto Faro; Daniela Giordano; Concetto Spampinato (EMBC, 2006)

Cellular Neural Networks and Dynamic Enhancement for Cephalometric Landmarks Detection. - Daniela Giordano; Rosalia Leonardi; Francesco Maiorana; Concetto Spampinato (ICAISC, 2006)

Variational Method for Image Denoising by Distributed Genetic Algorithms on GRID Environment. - Flavio Cannavó; Giuseppe Nunnari; Daniela Giordano; Concetto Spampinato (WETICE, 2006)

Software Agents for Autonomous Robots: the Eurobot 2006 Experience. - Vincenzo Nicosia; Concetto Spampinato; Corrado Santoro (WOA, 2006)

Analysis of Focuses of Attention Distribution for a Novel Face Recognition System. - Concetto Spampinato; Massimiliano Nicotra; Armando Travaglianti (BIOSIGNALS (2), 2008)

Detecting, Tracking and Counting Fish in Low Quality Unconstrained Underwater Videos. - Concetto Spampinato; Yun-Heh Chen-Burger; Gayathri Nadarajan; Robert B. Fisher (VISAPP (2), 2008)

GRIPLAB 1.0: Grid Image Processing Laboratory for Distributed Machine Vision Applications. - Antonino Crisafi; Daniela Giordano; Concetto Spampinato (WETICE, 2008)

Evaluation of the Traffic Parameters in a Metropolitan Area by Fusing Visual Perceptions and CNN Processing of Webcam Images. - Alberto Faro; Daniela Giordano; Concetto Spampinato (IEEE Trans. Neural Networks, 2008)

Adaptive Objects Tracking by Using Statistical Features Shape Modeling and Histogram Analysis. - Concetto Spampinato (ICAPR, 2009)

Discovering Genes-Diseases Associations From Specialized Literature Using the Grid. - Alberto Faro; Daniela Giordano; Francesco Maiorana; Concetto Spampinato (IEEE Trans. Inf. Technol. Biomed., 2009)

Visual attention for implicit relevance feedback in a content based image retrieval. - Alberto Faro; Daniela Giordano; Carmelo Pino; Concetto Spampinato (ETRA, 2010)

An interactive interface for remote administration of clinical tests based on eye tracking. - Alberto Faro; Daniela Giordano; Concetto Spampinato; Davide De Tommaso; Simona Ullo (ETRA, 2010)

Automatic fish classification for underwater species behavior understanding. - Concetto Spampinato; Daniela Giordano; Roberto Di Salvo; Yun-Heh Jessica Chen-Burger; Robert B. Fisher; Gayathri Nadarajan (ARTEMIS@ACM Multimedia, 2010)

An Automatic System for Skeletal Bone Age Measurement by Robust Processing of Carpal and Epiphysial/Metaphysial Bones. - Daniela Giordano; Concetto Spampinato; Giacomo Scarciofalo; Rosalia Leonardi (IEEE Trans. Instrum. Meas., 2010)

Nuclear Medicine Image Management System for Storage and Sharing by using Grid Services and Semantic Web. - Daniela Giordano; Carmelo Pino; Concetto Spampinato; Marco Fargetta; Angela Di Stefano (HEALTHINF, 2011)

A Semantic-Based Platform for Medical Image Storage and Sharing Using the Grid. - Daniela Giordano; Carmelo Pino; Concetto Spampinato; Marco Fargetta; Angela Di Stefano (BIOSTEC (Selected Papers), 2011)

A semantic-based and adaptive architecture for automatic multimedia retrieval composition. - Daniela Giordano; Isaak Kavasidis; Carmelo Pino; Concetto Spampinato (CBMI, 2011)

A learning tool for assessing skeletal bone age in radiology. - Alberto Faro; Daniela Giordano; Concetto Spampinato; Rosalia Leonardi (CBMS, 2011)

Eye tracker based method for quantitative analysis of pathological nystagmus. - Daniela Giordano; Carmelo Pino; Concetto Spampinato; Massimo Di Pietro; Alfredo Reibaldi (CBMS, 2011)

Detection of Active Regions in Solar Images Using Visual Attention. - Flavio Cannavo; Concetto Spampinato; Daniela Giordano; Fatima Rubio da Costa; Silvia Nunnari (DICTAP (1), 2011)

Adaptive Local Contrast Enhancement Combined with 2D Discrete Wavelet Transform for Mammographic Mass Detection and Classification. - Daniela Giordano; Isaak Kavasidis; Concetto Spampinato (DICTAP (1), 2011)

Developing controlled Vocabularies for educational Resources Sharing: a Case Study. - Daniela Giordano; Isaak Kavasidis; Concetto Spampinato; Panagiotis D. Bamidis (Linked Learning@ESWC, 2011)

A flexible system for automated composition of intelligent video analysis. - Gayathri Nadarajan; Yun-Heh Chen-Burger; Robert B. Fisher; Concetto Spampinato (ISPA, 2011)

Implementing ITS 3.0 Applications by Integrating Ruby on Rails, Sesame and Protegè Technologies. - Alberto Faro; Concetto Spampinato (SITIS, 2011)

Basal Ganglia Activity Measurement by Automatic 3-D Striatum Segmentation in SPECT Images. - Alberto Faro; Daniela Giordano; Concetto Spampinato; Simona Ullo; Angela Di Stefano (IEEE Trans. Instrum. Meas., 2011)

Adaptive Background Modeling Integrated With Luminosity Sensors and Occlusion Processing for Reliable Vehicle Detection. - Alberto Faro; Daniela Giordano; Concetto Spampinato (IEEE Trans. Intell. Transp. Syst., 2011)

First International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications. - Concetto Spampinato; Bas Boom; Jiyin He (AVI, 2012)

BioWizard: Discovering and validating associations between biological entities by integrated analysis of scientific literature and experimental data. - Concetto Spampinato; Daniela Giordano; Isaak Kavasidis; Sebastiano Milardo (CBMS, 2012)

Content based recommender system by using eye gaze data. - Daniela Giordano; Isaak Kavasidis; Carmelo Pino; Concetto Spampinato (ETRA, 2012)

Implementing Ubiquitous Services with Ontologies: Methodology and Case Study. - Alfio Costanzo; Alberto Faro; Daniela Giordano; Concetto Spampinato (FedCSIS, 2012)

Context Aware Services for Mobile Users: JQMobile vs Flash Builder Implementations . - Alfio Costanzo; Alberto Faro; Daniela Giordano; Concetto Spampinato (FedCSIS, 2012)

A Feature Model Configuration for Multimedia Applications by an OWL-based Approach. - Giuseppe Santoro; Carmelo Pino; Concetto Spampinato (FedCSIS, 2012)

Evaluation of tracking algorithm performance without ground-truth data. - Concetto Spampinato; Simone Palazzo; Daniela Giordano (ICIP, 2012)

Enhancing object detection performance by integrating motion objectness and perceptual organization. - Concetto Spampinato; Simone Palazzo (ICPR, 2012)

A parallel edge preserving algorithm for salt and pepper image denoising. - Marco Aldinucci; Concetto Spampinato; Maurizio Drocco; Massimo Torquati; Simone Palazzo (IPTA, 2012)

Automatic 3D segmentation of mandible for assessment of facial asymmetry. - Concetto Spampinato; Carmelo Pino; Daniela Giordano; Rosalia Leonardi (MeMeA, 2012)

Hidden Markov Models for detecting anomalous fish trajectories in underwater footage. - Concetto Spampinato; Simone Palazzo (MLSP, 2012)

Event detection in underwater domain by exploiting fish trajectory clustering. - Simone Palazzo; Concetto Spampinato; Cigdem Beyan (MAED@ACM Multimedia, 2012)

Multimedia analysis for ecological data. - Concetto Spampinato; Vasileios Mezaris; Jacco van Ossenbruggen (ACM Multimedia, 2012)

A semi-automatic tool for detection and tracking ground truth generation in videos. - Isaak Kavasidis; Simone Palazzo; Roberto Di Salvo; Daniela Giordano; Concetto Spampinato (VIGTA@AVI, 2012)

Covariance based Fish Tracking in Real-life Underwater Environment. - Concetto Spampinato; Simone Palazzo; Daniela Giordano; Isaak Kavasidis; Fang-Pang Lin; Yun-Te Lin (VISAPP (2), 2012)

Location Intelligence Services for Mobiles using Ruby on Rails and JQueryMobile. - Alfio Costanzo; Alberto Faro; Concetto Spampinato (WEBIST, 2012)

Using Horn Clauses and Fuzzy Logic to Provide Location Intelligence Services to Mobile Users: An Implementation Account. - Alfio Costanzo; Alberto Faro; Concetto Spampinato (WEBIST (Selected Papers), 2012)

Combining literature text mining with microarray data: advances for system biology modeling. - Alberto Faro; Daniela Giordano; Concetto Spampinato (Briefings Bioinform., 2012)

An integrated computer-controlled system for assisting researchers in cortical excitability studies by using transcranial magnetic stimulation. - Daniela Giordano; Isaak Kavasidis; Concetto Spampinato; R. Bella; G. Pennisi; Manuela Pennisi (Comput. Methods Programs Biomed., 2012)

Generation of Ground Truth for Object Detection While Playing an Online Game: Productive Gaming or Recreational Working? - Isaak Kavasidis; Concetto Spampinato; Daniela Giordano (CVPR Workshops, 2013)

Covariance based modeling of underwater scenes for fish detection. - Simone Palazzo; Isaak Kavasidis; Concetto Spampinato (ICIP, 2013)

A video processing and data retrieval framework for fish population monitoring. - Emma Beauxis-Aussalet; Simone Palazzo; Gayathri Nadarajan; Elvira Arslanova; Concetto Spampinato; Lynda Hardman (MAED@ACM Multimedia, 2013)

Summary abstract for the 2nd ACM international workshop on multimedia analysis for ecological data. - Concetto Spampinato; Vasileios Mezaris; Jacco van Ossenbruggen (ACM Multimedia, 2013)

Socio-semantic Integration of Educational Resources - the Case of the mEducator Project. - Stefan Dietze; Eleni Kaldoudi; Nikolas Dovrolis; Daniela Giordano; Concetto Spampinato; Maurice Hendrix; Aristidis Protopsaltis; Davide Taibi 002; Hong Qing Yu (J. Univers. Comput. Sci., 2013)

LifeCLEF 2014: Multimedia Life Species Identification Challenges. - Alexis Joly; Hervé Goëau; Hervé Glotin; Concetto Spampinato; Pierre Bonnet; Willem-Pier Vellinga; Robert Planqué; Andreas Rauber; Robert B. Fisher; Henning Müller (CLEF, 2014)

Overview of the LifeCLEF 2014 Fish Task. - Concetto Spampinato; Simone Palazzo; Bas Boom; Robert B. Fisher (CLEF (Working Notes), 2014)

Kernel Density Estimation Using Joint Spatial-Color-Depth Data for Background Modeling. - Daniela Giordano; Simone Palazzo; Concetto Spampinato (ICPR, 2014)

PeRCeiVe Lab@UNICT at MediaEval 2014 Diverse Images: Random Forests for Diversity-based Clustering. - Concetto Spampinato; Simone Palazzo (MediaEval, 2014)

LifeCLEF: Multimedia life species identification. - Alexis Joly; Henning Müller; Hervé Goëau; Hervé Glotin; Concetto Spampinato; Andreas Rauber; Pierre Bonnet; Willem-Pier Vellinga; Robert B. Fisher; Robert Planqué (EMR@ICMR, 2014)

Are Species Identification Tools Biodiversity-friendly? - Alexis Joly; Hervé Goëau; Pierre Bonnet; Concetto Spampinato; Hervé Glotin; Andreas Rauber; Willem-Pier Vellinga; Robert B. Fisher; Henning Müller (MAED@MM, 2014)

Summary Abstract for the 3rd ACM International Workshop on Multimedia Analysis for Ecological Data. - Concetto Spampinato; Vasileios Mezaris; Marco Cristani (ACM Multimedia, 2014)

Large Scale Data Processing in Ecology: A Case Study on Long-Term Underwater Video Monitoring. - Simone Palazzo; Concetto Spampinato; Daniela Giordano (PDP, 2014)

Parallel stochastic systems biology in the cloud. - Marco Aldinucci; Massimo Torquati; Concetto Spampinato; Maurizio Drocco; Claudia Misale; Cristina Calcagno; Mario Coppo (Briefings Bioinform., 2014)

Discovering biological knowledge by integrating high-throughput data and scientific literature on the cloud. - Concetto Spampinato; Isaak Kavasidis; Marco Aldinucci; Carmelo Pino; Daniela Giordano; Alberto Faro (Concurr. Comput. Pract. Exp., 2014)

A texton-based kernel density estimation approach for background modeling under extreme conditions. - Concetto Spampinato; Simone Palazzo; Isaak Kavasidis (Comput. Vis. Image Underst., 2014)

A research tool for long-term and continuous analysis of fish assemblage in coral-reefs using underwater camera footage. - Bastiaan Johannes Boom; Jiyin He; Simone Palazzo; Phoenix X. Huang; Cigdem Beyan; Hsiu-Mei Chou; Fang-Pang Lin; Concetto Spampinato; Robert B. Fisher (Ecol. Informatics, 2014)

Editorial - Special issue on multimedia in ecology. - Concetto Spampinato; Vasileios Mezaris; Benoit Huet; Jacco van Ossenbruggen (Ecol. Informatics, 2014)

An innovative web-based collaborative platform for video annotation. - Isaak Kavasidis; Simone Palazzo; Roberto Di Salvo; Daniela Giordano; Concetto Spampinato (Multim. Tools Appl., 2014)

MTAP special issue on methods and tools for ground truth collection in multimedia applications. - Concetto Spampinato; Bastiaan Johannes Boom; Jiyin He (Multim. Tools Appl., 2014)

Understanding fish behavior during typhoon events in real-life underwater environments. - Concetto Spampinato; Simone Palazzo; Bastiaan Johannes Boom; Jacco van Ossenbruggen; Isaak Kavasidis; Roberto Di Salvo; Fang-Pang Lin; Daniela Giordano; Lynda Hardman; Robert B. Fisher (Multim. Tools Appl., 2014)

A rule-based event detection system for real-life underwater domain. - Concetto Spampinato; Emmanuelle Beauxis-Aussalet; Simone Palazzo; Cigdem Beyan; Jacco van Ossenbruggen; Jiyin He; Bas Boom; Xuan Huang (Mach. Vis. Appl., 2014)

Rejecting False Positives in Video Object Segmentation. - Daniela Giordano; Isaak Kavasidis; Simone Palazzo; Concetto Spampinato (CAIP (1), 2015)

Automatic Summary Creation by Applying Natural Language Processing on Unstructured Medical Records. - Daniela Giordano; Isaak Kavasidis; Concetto Spampinato (CAIP (2), 2015)

LifeCLEF 2015: Multimedia Life Species Identification Challenges. - Alexis Joly; Hervé Goëau; Hervé Glotin; Concetto Spampinato; Pierre Bonnet; Willem-Pier Vellinga; Robert Planqué; Andreas Rauber; Simone Palazzo; Bob Fisher; Henning Müller (CLEF, 2015)

Superpixel-based video object segmentation using perceptual organization and location prior. - Daniela Giordano; Francesca Murabito; Simone Palazzo; Concetto Spampinato (CVPR, 2015)

Introduction to a Task on Context of Experience: Recommending Videos Suiting a Watching Situation. - Michael Riegler 001; Martha A. Larson; Concetto Spampinato; Jonas Markussen; Pål Halvorsen; Carsten Griwodz (MediaEval, 2015)

Using the Eyes to "See" the Objects. - Concetto Spampinato; Simone Palazzo; Francesca Murabito; Daniela Giordano (ACM Multimedia, 2015)

Nonparametric label propagation using mutual local similarity in nearest neighbors. - Daniela Giordano; Isaak Kavasidis; Simone Palazzo; Concetto Spampinato (Comput. Vis. Image Underst., 2015)

Special issue on animal and insect behaviour understanding in image sequences. - Concetto Spampinato; Giovanni Maria Farinella; Bas Boom; Vasileios Mezaris; Margrit Betke; Robert B. Fisher (EURASIP J. Image Video Process., 2015)

Parallel visual data restoration on multi-GPGPUs using stencil-reduce pattern. - Marco Aldinucci; Guilherme Peretti Pezzi; Maurizio Drocco; Concetto Spampinato; Massimo Torquati (Int. J. High Perform. Comput. Appl., 2015)

An ontological ubiquitous city information platform provided with Cyber-Physical-Social-Systems. - Alfio Costanzo; Alberto Faro; Daniela Giordano; Concetto Spampinato (CCNC, 2016)

Implementing Cyber Physical social Systems for smart cities: A semantic web perspective. - Alfio Costanzo; Alberto Faro; Daniela Giordano; Concetto Spampinato (CCNC, 2016)

GeoSentiment: A tool for analyzing geographically distributed event-related sentiments. - Carmelo Pino; Isaak Kavasidis; Concetto Spampinato (CCNC, 2016)

Assessment and visualization of geographically distributed event-related sentiments by mining social networks and news. - Carmelo Pino; Isaak Kavasidis; Concetto Spampinato (CCNC, 2016)

LifeCLEF 2016: Multimedia Life Species Identification Challenges. - Alexis Joly; Hervé Goëau; Hervé Glotin; Concetto Spampinato; Pierre Bonnet; Willem-Pier Vellinga; Julien Champ; Robert Planqué; Simone Palazzo; Henning Müller (CLEF, 2016)

The MediaEval 2016 Context of Experience Task: Recommending Videos Suiting a Watching Situation. - Michael Riegler 001; Concetto Spampinato; Martha A. Larson; Carsten Griwodz; Pål Halvorsen (MediaEval, 2016)

Multimedia and Medicine: Teammates for Better Disease Detection and Survival. - Michael Riegler 001; Mathias Lux; Carsten Griwodz; Concetto Spampinato; Thomas de Lange; Sigrun Losada Eskeland; Konstantin Pogorelov; Wallapak Tavanapong; Peter Thelin Schmidt; Cathal Gurrin; Dag Johansen; Håvard D. Johansen; et al. (ACM Multimedia, 2016)

Right inflight?: a dataset for exploring the automatic prediction of movies suitable for a watching situation. - Michael Riegler 001; Martha A. Larson; Concetto Spampinato; Pål Halvorsen; Mathias Lux; Jonas Markussen; Konstantin Pogorelov; Carsten Griwodz; Håkon Kvale Stensland (MMSys, 2016)

Generating reliable video annotations by exploiting the crowd. - Roberto Di Salvo; Concetto Spampinato; Daniela Giordano (WACV, 2016)

Modeling skeletal bone development with hidden Markov models. - Daniela Giordano; Isaak Kavasidis; Concetto Spampinato (Comput. Methods Programs Biomed., 2016)

A diversity-based search approach to support annotation of a large fish image dataset. - Daniela Giordano; Simone Palazzo; Concetto Spampinato (Multim. Syst., 2016)

Special issue on multimedia in ecology. - Concetto Spampinato; Vasileios Mezaris; Jacco van Ossenbruggen (Multim. Syst., 2016)

Fine-grained object recognition in underwater visual data. - Concetto Spampinato; Simone Palazzo; Pierre-Hugues Joalland; Sébastien Paris; Hervé Glotin; Katy Blanc; Diane Lingrand; Frédéric Precioso (Multim. Tools Appl., 2016)

Special issue on "Fine-grained categorization in ecological multimedia". - Concetto Spampinato; Vasileios Mezaris; Marco Cristani (Pattern Recognit. Lett., 2016)

Fish Detection. - Daniela Giordano; Simone Palazzo; Concetto Spampinato (Fish4Knowledge, 2016)

Fish Tracking. - Daniela Giordano; Simone Palazzo; Concetto Spampinato (Fish4Knowledge, 2016)

Data Groundtruthing and Crowdsourcing. - Jiyin He; Concetto Spampinato; Bastiaan Johannes Boom; Isaak Kavasidis (Fish4Knowledge, 2016)

An Eye Tracker based Computer System to Support Oculomotor and Attention Deficit Investigations. - Daniela Giordano; Carmelo Pino; Isaak Kavasidis; Concetto Spampinato; Massimo Di Pietro; Renata Rizzo; Anna Scuderi; Rita Barone (CBMS, 2017)

LifeCLEF 2017 Lab Overview: Multimedia Species Identification Challenges. - Alexis Joly; Hervé Goëau; Hervé Glotin; Concetto Spampinato; Pierre Bonnet; Willem-Pier Vellinga; Jean-Christophe Lombardo; Robert Planqué; Simone Palazzo; Henning Müller (CLEF, 2017)

Deep Learning Human Mind for Automated Visual Classification. - Concetto Spampinato; Simone Palazzo; Isaak Kavasidis; Daniela Giordano; Nasim Souly; Mubarak Shah (CVPR, 2017)

Generative Adversarial Networks Conditioned by Brain Signals. - Simone Palazzo; Concetto Spampinato; Isaak Kavasidis; Daniela Giordano; Mubarak Shah (ICCV, 2017)

Semi Supervised Semantic Segmentation Using Generative Adversarial Network. - Nasim Souly; Concetto Spampinato; Mubarak Shah (ICCV, 2017)

Generating Knowledge-Enriched Image Annotations for Fine-Grained Visual Classification. - Francesca Murabito; Simone Palazzo; Concetto Spampinato; Daniela Giordano (ICIAP (1), 2017)

Implicit Vs. Explicit Human Feedback for Interactive Video Object Segmentation. - Francesca Murabito; Simone Palazzo; Concetto Spampinato; Daniela Giordano (ICIAP Workshops, 2017)

A Comparison of Deep Learning with Global Features for Gastrointestinal Disease Detection. - Konstantin Pogorelov; Michael Riegler 001; Pål Halvorsen; Carsten Griwodz; Thomas de Lange; Kristin Ranheim Randel; Sigrun Losada Eskeland; Duc-Tien Dang-Nguyen; Olga Ostroukhova; Mathias Lux; Concetto Spampinato (MediaEval, 2017)

Multimedia for Medicine: The Medico Task at MediaEval 2017. - Michael Riegler 001; Konstantin Pogorelov; Pål Halvorsen; Kristin Ranheim Randel; Sigrun Losada Eskeland; Duc-Tien Dang-Nguyen; Mathias Lux; Carsten Griwodz; Concetto Spampinato; Thomas de Lange (MediaEval, 2017)

Brain2Image: Converting Brain Signals into Images. - Isaak Kavasidis; Simone Palazzo; Concetto Spampinato; Daniela Giordano; Mubarak Shah (ACM Multimedia, 2017)

A Holistic Multimedia System for Gastrointestinal Tract Disease Detection. - Konstantin Pogorelov; Sigrun Losada Eskeland; Thomas de Lange; Carsten Griwodz; Kristin Ranheim Randel; Håkon Kvale Stensland; Duc-Tien Dang-Nguyen; Concetto Spampinato; Dag Johansen; Michael Riegler 001; Pål Halvorsen (MMSys, 2017)

KVASIR: A Multi-Class Image Dataset for Computer Aided Gastrointestinal Disease Detection. - Konstantin Pogorelov; Kristin Ranheim Randel; Carsten Griwodz; Sigrun Losada Eskeland; Thomas de Lange; Dag Johansen; Concetto Spampinato; Duc-Tien Dang-Nguyen; Mathias Lux; Peter Thelin Schmidt; Michael Riegler 001; Pål Halvorsen (MMSys, 2017)

Nerthus: A Bowel Preparation Quality Video Dataset. - Konstantin Pogorelov; Kristin Ranheim Randel; Thomas de Lange; Sigrun Losada Eskeland; Carsten Griwodz; Dag Johansen; Concetto Spampinato; Mario Taschwer; Mathias Lux; Peter Thelin Schmidt; Michael Riegler 001; Pål Halvorsen (MMSys, 2017)

Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network. - Nasim Souly; Concetto Spampinato; Mubarak Shah (CoRR, 2017)

Top-Down Saliency Detection Driven by Visual Classification. - Francesca Murabito; Concetto Spampinato; Simone Palazzo; Konstantin Pogorelov; Michael Riegler 001 (CoRR, 2017)

Deep learning for automated skeletal bone age assessment in X-ray images. - Concetto Spampinato; Simone Palazzo; Daniela Giordano; Marco Aldinucci; Rosalia Leonardi (Medical Image Anal., 2017)

Gamifying Video Object Segmentation. - Concetto Spampinato; Simone Palazzo; Daniela Giordano (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Generating Synthetic Video Sequences by Explicitly Modeling Object Motion. - Simone Palazzo; Concetto Spampinato; P. D'Oro; Daniela Giordano; Mubarak Shah (ECCV Workshops (2), 2018)

ThoughtViz: Visualizing Human Thoughts Using Generative Adversarial Network. - Praveen Tirupattur; Yogesh Singh Rawat; Concetto Spampinato; Mubarak Shah (ACM Multimedia, 2018)

VOS-GAN: Adversarial Learning of Visual-Temporal Dynamics for Unsupervised Dense Prediction in Videos. - Concetto Spampinato; Sergio Palazzo; Salvatore D'Oro; Francesca Murabito; Daniela Giordano; Mubarak Shah (CoRR, 2018)

A Saliency-based Convolutional Neural Network for Table and Chart Detection in Digitized Documents. - Isaak Kavasidis; Sergio Palazzo; Concetto Spampinato; Carmelo Pino; Daniela Giordano; Daniele Giuffrida; Paolo Messina (CoRR, 2018)

Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features. - Simone Palazzo; Concetto Spampinato; Isaak Kavasidis; Daniela Giordano; Mubarak Shah (CoRR, 2018)

Top-down saliency detection driven by visual classification. - Francesca Murabito; Concetto Spampinato; Simone Palazzo; Daniela Giordano; Konstantin Pogorelov; Michael Riegler 001 (Comput. Vis. Image Underst., 2018)

Biodiversity Information Retrieval Through Large Scale Content-Based Identification: A Long-Term Evaluation. - Alexis Joly; Hervé Goëau; Hervé Glotin; Concetto Spampinato; Pierre Bonnet; Willem-Pier Vellinga; Jean-Christophe Lombardo; Robert Planqué; Simone Palazzo; Henning Müller (Information Retrieval Evaluation in a Changing World, 2019)

An AI-based Framework for Supporting Large Scale Automated Analysis of Video Capsule Endoscopy. - Daniela Giordano; Francesca Murabito; Simone Palazzo; Carmelo Pino; Concetto Spampinato (BHI, 2019)

A Saliency-Based Convolutional Neural Network for Table and Chart Detection in Digitized Documents. - Isaak Kavasidis; Carmelo Pino; Simone Palazzo; Francesco Rundo; Daniela Giordano; P. Messina; Concetto Spampinato (ICIAP (2), 2019)

Visual Saliency Detection guided by Neural Signals. - Simone Palazzo; Francesco Rundo; Sebastiano Battiato; Daniela Giordano; Concetto Spampinato (FG, 2020)

Biometric Recognition of PPG Cardiac Signals Using Transformed Spectrogram Images. - Ruggero Donida Labati; Vincenzo Piuri; Francesco Rundo; Fabio Scotti; Concetto Spampinato (ICPR Workshops (8), 2020)

Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans. - Francesca Murabito; Simone Palazzo; Federica Proietto Salanitri; Francesco Rundo; Ulas Bagci; Daniela Giordano; Rosalia Leonardi; Concetto Spampinato (ICPR, 2020)

Deep Multi-stage Model for Automated Landmarking of Craniomaxillofacial CT Scans. - Simone Palazzo; Giovanni Bellitto; Luca Prezzavento; Francesco Rundo; Ulas Bagci; Daniela Giordano; Rosalia Leonardi; Concetto Spampinato (ICPR, 2020)

Advanced Non-linear Generative Model with a Deep Classifier for Immunotherapy Outcome Prediction: A Bladder Cancer Case Study. - Francesco Rundo; Giuseppe Luigi Banna; Francesca Trenta; Concetto Spampinato; Luc M. Bidaut; Xujiong Ye; Stefanos D. Kollias; Sebastiano Battiato (ICPR Workshops (1), 2020)

Advanced Temporal Dilated Convolutional Neural Network for a Robust Car Driver Identification. - Francesco Rundo; Francesca Trenta; Roberto Leotta; Concetto Spampinato; Vincenzo Piuri; Sabrina Conoci; Ruggero Donida Labati; Fabio Scotti; Sebastiano Battiato (ICPR Workshops (8), 2020)

Domain Adaptation for Outdoor Robot Traversability Estimation from RGB data with Safety-Preserving Loss. - Simone Palazzo; Dario Calogero Guastella; Luciano Cantelli; Paolo Spadaro; Francesco Rundo; Giovanni Muscato; Daniela Giordano; Concetto Spampinato (IROS, 2020)

Diagnosing Colorectal Polyps in the Wild with Capsule Networks. - Rodney LaLonde; Pujan Kandel; Concetto Spampinato; Michael B. Wallace; Ulas Bagci (ISBI, 2020)

Video Saliency Detection with Domain Adaptation using Hierarchical Gradient Reversal Layers. - Giovanni Bellitto; Federica Proietto Salanitri; Simone Palazzo; Francesco Rundo; Daniela Giordano; Concetto Spampinato (CoRR, 2020)

Correct block-design experiments mitigate temporal correlation bias in EEG classification. - Simone Palazzo; Concetto Spampinato; Joseph Schmidt; Isaak Kavasidis; Daniela Giordano; Mubarak Shah (CoRR, 2020)

Random forest, gradient boosted machines and deep neural network for stock price forecasting: a comparative analysis on South Korean companies. - Sanjiban Sekhar Roy; Rohan Chopra; Kun Chang Lee; Concetto Spampinato; Behnam Mohammadi-Ivatloo (Int. J. Ad Hoc Ubiquitous Comput., 2020)

Adversarial Framework for Unsupervised Learning of Motion Dynamics in Videos. - Concetto Spampinato; Simone Palazzo; P. D'Oro; Daniela Giordano; Mubarak Shah (Int. J. Comput. Vis., 2020)

MASK-RL: Multiagent Video Object Segmentation Framework Through Reinforcement Learning. - Giuseppe Vecchio; Simone Palazzo; Daniela Giordano; Francesco Rundo; Concetto Spampinato (IEEE Trans. Neural Networks Learn. Syst., 2020)

TwinLiverNet: Predicting TACE Treatment Outcome from CT scans for Hepatocellular Carcinoma using Deep Capsule Networks. - Carmelo Pino; Giuseppe Vecchio; Marco Fronda; Marco Calandri; Marco Aldinucci; Concetto Spampinato (EMBC, 2021)

HPC Application Cloudification: The StreamFlow Toolkit (Invited Paper). - Iacopo Colonnelli; Barbara Cantalupo; Roberto Esposito; Matteo Pennisi; Concetto Spampinato; Marco Aldinucci (PARMA-DITAM@HiPEAC, 2021)

SurfaceNet: Adversarial SVBRDF Estimation from a Single Image. - Giuseppe Vecchio; Simone Palazzo; Concetto Spampinato (ICCV, 2021)

Self-improving classification performance through GAN distillation. - Matteo Pennisi; Simone Palazzo; Concetto Spampinato (ICCVW, 2021)

Driver Attention Assistance by Pedestrian/Cyclist Distance Estimation from a Single RGB Image: A CNN-based Semantic Segmentation Approach. - Angelo Genovese; Vincenzo Piuri; Francesco Rundo; Fabio Scotti; Concetto Spampinato (ICIT, 2021)

Advanced Car Driving Assistant System: A Deep Non-local Pipeline Combined with 1D Dilated CNN for Safety Driving. - Francesco Rundo; Roberto Leotta; Francesca Trenta; Giovanni Bellitto; Federica Proietto Salanitri; Vincenzo Piuri; Angelo Genovese; Ruggero Donida Labati; Fabio Scotti; Concetto Spampinato; Sebastiano Battiato (IMPROVE, 2021)

Interpretable Deep Model For Predicting Gene-Addicted Non-Small-Cell Lung Cancer In Ct Scans. - Carmelo Pino; Simone Palazzo; Francesca Trenta; Francesca Cordero; Ulas Bagci; Francesco Rundo; Sebastiano Battiato; Daniela Giordano; Marco Aldinucci; Concetto Spampinato (ISBI, 2021)

Semantic Segmentation of Radio-Astronomical Images. - Carmelo Pino; Renato Sortino; Eva Sciacca; Simone Riggi; Concetto Spampinato (IWAIPR, 2021)

Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. - Ugur Demir; Ismail Irmakci; Elif Keles; Ahmet Topcu; Ziyue Xu 001; Concetto Spampinato; Sachin Jambawalikar; Evrim Turkbey; Baris Turkbey; Ulas Bagci (MLMI@MICCAI, 2021)

Hierarchical 3D Feature Learning forPancreas Segmentation. - Federica Proietto Salanitri; Giovanni Bellitto; Ismail Irmakci; Simone Palazzo; Ulas Bagci; Concetto Spampinato (MLMI@MICCAI, 2021)

An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans. - Matteo Pennisi; Isaak Kavasidis; Concetto Spampinato; Vincenzo Schininà; Simone Palazzo; Federica Proietto Salanitri; Giovanni Bellitto; Francesco Rundo; Marco Aldinucci; Massimo Cristofaro; Paolo Campioni; Elisa Pianura; et al. (Artif. Intell. Medicine, 2021)

An Explainable AI System for Automated COVID-19 Assessment and Lesion Categorization from CT-scans. - Matteo Pennisi; Isaak Kavasidis; Concetto Spampinato; Vincenzo Schininà; Simone Palazzo; Francesco Rundo; Massimo Cristofaro; Paolo Campioni; Elisa Pianura; Federica Di Stefano 002; Ada Petrone; Fabrizio Albarello; et al. (CoRR, 2021)

Bringing AI pipelines onto cloud-HPC: setting a baseline for accuracy of COVID-19 AI diagnosis. - Iacopo Colonnelli; Barbara Cantalupo; Concetto Spampinato; Matteo Pennisi; Marco Aldinucci (CoRR, 2021)

Hierarchical 3D Feature Learning for Pancreas Segmentation. - Federica Proietto Salanitri; Giovanni Bellitto; Ismail Irmakci; Simone Palazzo; Ulas Bagci; Concetto Spampinato (CoRR, 2021)

Deep Neuro-Vision Embedded Architecture for Safety Assessment in Perceptive Advanced Driver Assistance Systems: The Pedestrian Tracking System Use-Case. - Francesco Rundo; Sabrina Conoci; Concetto Spampinato; Roberto Leotta; Francesca Trenta; Sebastiano Battiato (Frontiers Neuroinformatics, 2021)

Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction. - Giovanni Bellitto; Federica Proietto Salanitri; Simone Palazzo; Francesco Rundo; Daniela Giordano; Concetto Spampinato (Int. J. Comput. Vis., 2021)

Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features. - Simone Palazzo; Concetto Spampinato; Isaak Kavasidis; Daniela Giordano; Joseph Schmidt; Mubarak Shah (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Exploiting structured high-level knowledge for domain-specific visual classification. - Simone Palazzo; Francesca Murabito; Carmelo Pino; Francesco Rundo; Daniela Giordano; Mubarak Shah; Concetto Spampinato (Pattern Recognit., 2021)

Transfer Without Forgetting. - Matteo Boschini; Lorenzo Bonicelli; Angelo Porrello; Giovanni Bellitto; Matteo Pennisi; Simone Palazzo; Concetto Spampinato; Simone Calderara (ECCV (23), 2022)

Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images. - Federica Proietto Salanitri; Giovanni Bellitto; Simone Palazzo; Ismail Irmakci; Michael B. Wallace; Candice W. Bolan; Megan Engels; Sanne Hoogenboom; Marco Aldinucci; Ulas Bagci; Daniela Giordano; Concetto Spampinato (EMBC, 2022)

SARS-CoV-2 Induced Pneumonia Early Detection System Based on Chest X-Ray Images Analysis by Jacobian-Regularized Deep Network. - Francesco Rundo; Carmelo Pino; Riccardo Emanuele Sarpietro; Concetto Spampinato (ICPR Workshops (1), 2022)

A Hierarchical 3D Segmentation Model for Cone-Beam Computed Tomography Dental-Arch Scans. - Francesco Rundo; Carmelo Pino; Riccardo Emanuele Sarpietro; Concetto Spampinato; Federica Proietto Salanitri (ICPR Workshops (1), 2022)

Transforming Image Generation from Scene Graphs. - Renato Sortino; Simone Palazzo; Concetto Spampinato (ICPR, 2022)

Deep Learning Car Driver Motion Magnified Saccadic Eye Movements for Advanced Driving Assistance System. - Francesco Rundo; Angelo Alberto Messina; Michele Calabretta; Matteo Dilonardo; Salvatore Coffa; Concetto Spampinato (IJCNN, 2022)

GAN Latent Space Manipulation and Aggregation for Federated Learning in Medical Imaging. - Matteo Pennisi; Federica Proietto Salanitri; Simone Palazzo; Carmelo Pino; Francesco Rundo; Daniela Giordano; Concetto Spampinato (DeCaF/FAIR@MICCAI, 2022)

On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning. - Lorenzo Bonicelli; Matteo Boschini; Angelo Porrello; Concetto Spampinato; Simone Calderara (NeurIPS, 2022)

Explainable Deep Learning System for Advanced Silicon and Silicon Carbide Electrical Wafer Defect Map Assessment. - Riccardo Emanuele Sarpietro; Carmelo Pino; Salvatore Coffa; Angelo Alberto Messina; Simone Palazzo; Sebastiano Battiato; Concetto Spampinato; Francesco Rundo (IEEE Access, 2022)

MIDGARD: A Simulation Platform for Autonomous Navigation in Unstructured Environments. - Giuseppe Vecchio; Simone Palazzo; Dario C. Guastella; Ignacio Carlucho; Stefano V. Albrecht; Giovanni Muscato; Concetto Spampinato (CoRR, 2022)

Effects of Auxiliary Knowledge on Continual Learning. - Giovanni Bellitto; Matteo Pennisi; Simone Palazzo; Lorenzo Bonicelli; Matteo Boschini; Simone Calderara; Concetto Spampinato (CoRR, 2022)

Decentralized Distributed Learning with Privacy-Preserving Data Synthesis. - Matteo Pennisi; Federica Proietto Salanitri; Giovanni Bellitto; Bruno Casella; Marco Aldinucci; Simone Palazzo; Concetto Spampinato (CoRR, 2022)

Distributed workflows with Jupyter. - Iacopo Colonnelli; Marco Aldinucci; Barbara Cantalupo; Luca Padovani; Sergio Rabellino; Concetto Spampinato; Roberto Morelli; Rosario Di Carlo; Nicolò Magini; Carlo Cavazzoni (Future Gener. Comput. Syst., 2022)

Dynamic Graph Attention: Unraveling Spatio-Temporal Synchrony in EEG Data. - Federica Proietto Salanitri; Giovanni Bellitto; Raffaele Mineo; Matteo Pennisi; Amelia Sorrenti; Salvatore Calcagno 002; Daniela Giordano; Simone Palazzo; Concetto Spampinato (BIBM, 2023)

Collective Driver Attention: Towards a Comprehensive Visual Understanding of Traffic Scenes. - Morteza Moradi 001; Simone Palazzo; Concetto Spampinato (CoDIT, 2023)

Ensemble and Personalized Transformer Models for Subject Identification and Relapse Detection in E-Prevention Challenge. - Salvatore Calcagno 002; Raffaele Mineo; Daniela Giordano; Concetto Spampinato (ICASSP, 2023)

Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning. - Matteo Pennisi; Federica Proietto Salanitri; Giovanni Bellitto; Concetto Spampinato; Simone Palazzo; Bruno Casella; Marco Aldinucci (ICCV (Workshops), 2023)

Selective Freezing for Efficient Continual Learning. - Amelia Sorrenti; Giovanni Bellitto; Federica Proietto Salanitri; Matteo Pennisi; Concetto Spampinato; Simone Palazzo (ICCV (Workshops), 2023)

A Baseline on Continual Learning Methods for Video Action Recognition. - Giulia Castagnolo; Concetto Spampinato; Francesco Rundo; Daniela Giordano; Simone Palazzo (ICIP, 2023)

A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications. - Matteo Pennisi; Federica Proietto Salanitri; Giovanni Bellitto; Simone Palazzo; Ulas Bagci; Concetto Spampinato (MICCAI (3), 2023)

Radiomics Boosts Deep Learning Model for IPMN Classification. - Lanhong Yao; Zheyuan Zhang; Ugur Demir; Elif Keles; Camila Vendrami; Emil Agarunov; Candice W. Bolan; Ivo Schoots; Marc J. Bruno; Rajesh Keswani; Frank H. Miller; Tamas Gonda; et al. (MLMI@MICCAI (2), 2023)

TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation. - Feiyan Hu; Simone Palazzo; Federica Proietto Salanitri; Giovanni Bellitto; Morteza Moradi 001; Concetto Spampinato; Kevin McGuinness (WACV, 2023)

Radio astronomical images object detection and segmentation: A benchmark on deep learning methods. - Renato Sortino; Daniel Magro; Giuseppe Fiameni; Eva Sciacca; Simone Riggi; Andrea DeMarco; Concetto Spampinato; Andrew M. Hopkins; Filomena Bufano; Francesco Schillirò; Cristobal Bordiu; Carmelo Pino (CoRR, 2023)

Transformer-based Image Generation from Scene Graphs. - Renato Sortino; Simone Palazzo; Concetto Spampinato (CoRR, 2023)

BioTrak: A Blockchain-based Platform for Food Chain Logistics Traceability. - Alessia Spitalleri; Isaak Kavasidis; Vincenzo Cartelli; Raffaele Mineo; Francesco Rundo; Simone Palazzo; Concetto Spampinato; Daniela Giordano (CoRR, 2023)

On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning. - Lorenzo Bonicelli; Matteo Boschini; Emanuele Frascaroli; Angelo Porrello; Matteo Pennisi; Giovanni Bellitto; Simone Palazzo; Concetto Spampinato; Simone Calderara (CoRR, 2023)

MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes. - Giuseppe Vecchio; Luca Prezzavento; Carmelo Pino; Francesco Rundo; Simone Palazzo; Concetto Spampinato (CoRR, 2023)

Non-Linear Self Augmentation Deep Pipeline for Cancer Treatment outcome Prediction. - Francesco Rundo; Concetto Spampinato; Michael Rundo (CoRR, 2023)

Car-Driver Drowsiness Assessment through 1D Temporal Convolutional Networks. - Francesco Rundo; Concetto Spampinato; Michael Rundo (CoRR, 2023)

Visual Saliency Detection in Advanced Driver Assistance Systems. - Francesco Rundo; Michael Sebastian Rundo; Concetto Spampinato (CoRR, 2023)

Domain Generalization with Fourier Transform and Soft Thresholding. - Hongyi Pan; Bin Wang 068; Zheyuan Zhan; Xin Zhu 005; Debesh Jha; Ahmet Enis Çetin; Concetto Spampinato; Ulas Bagci (CoRR, 2023)

Astronomical source detection in radio continuum maps with deep neural networks. - Simone Riggi; Daniel Magro; Renato Sortino; Andrea DeMarco; Cristobal Bordiu; Thomas Cecconello; Andrew M. Hopkins; Joshua R. Marvil; Grazia Umana; Eva Sciacca; Fabio Vitello; Filomena Bufano; et al. (Astron. Comput., 2023)

Transformer-based image generation from scene graphs. - Renato Sortino; Simone Palazzo; Francesco Rundo; Concetto Spampinato (Comput. Vis. Image Underst., 2023)

MeT: A graph transformer for semantic segmentation of 3D meshes. - Giuseppe Vecchio; Luca Prezzavento; Carmelo Pino; Francesco Rundo; Simone Palazzo; Concetto Spampinato (Comput. Vis. Image Underst., 2023)

Intelligent Traction Inverter in Next Generation Electric Vehicles: The Health Monitoring of Silicon-Carbide Power Modules. - Carmelo Pino; Alessandro Sitta; Giulia Castagnolo; Angelo Alberto Messina; Salvatore Coffa; Michele Calabretta; Fabio Scotti; Angelo Genovese; Vincenzo Piuri; Concetto Spampinato; Francesco Rundo (IEEE Trans. Intell. Veh., 2023)

Coronary Artery Stenosis Assessment in X-Ray Angiography Through Spatio-Temporal Attention for Non-Invasive FFR and iFR Estimation. - Raffaele Mineo; Federica Proietto Salanitri; Giovanni Bellitto; Ovidio De Filippo; Fabrizio D'Ascenzo; Simone Palazzo; Concetto Spampinato (BIOSTEC (1), 2024)

Multisource Approaches to Italian Sign Language (LIS) Recognition: Insights from the MultiMedaLIS Dataset. - Gaia Caligiore; Raffaele Mineo; Concetto Spampinato; Egidio Ragonese; Simone Palazzo; Sabina Fontana (CLiC-it, 2024)

MatFuse: Controllable Material Generation with Diffusion Models. - Giuseppe Vecchio; Renato Sortino; Simone Palazzo; Concetto Spampinato (CVPR, 2024)

AIM 2024 Challenge on Video Saliency Prediction: Methods and Results. - Andrey Moskalenko; Alexey Bryncev; Dmitry S. Vatolin; Radu Timofte; Gen Zhan; Li Yang; Yunlong Tang 002; Yiting Liao; Jiongzhi Lin; Baitao Huang; Morteza Moradi 001; Mohammad Moradi 001; et al. (ECCV Workshops (10), 2024)

Magnifying Facial Micro-movements for Cognitive Evaluation. - Raffaele Mineo; Federica Proietto Salanitri; Lisa Passarello; Alberto Sardella; Laura Messina; Manuela Pennisi; Daniela Giordano; Simone Palazzo; Concetto Spampinato (EMBC, 2024)

SandRo, a Robot for Beach Waste Cleanup. - Francesco Cancelliere; Luca Reitano; Dario Calogero Guastella; Giuseppe Sutera; Concetto Spampinato; Giovanni Muscato (ERF (1), 2024)

Learning-Based Ground Vehicle Navigation in Outdoor Unstructured Environments. - Simone Palazzo; Dario C. Guastella; Giuseppe Vecchio; Riccardo Emanuele Sarpietro; Giuseppe Sutera; Francesco Cancelliere; Giovanni Muscato; Concetto Spampinato (ERF (1), 2024)

MIDGARD: A Robot Navigation Simulator for Outdoor Unstructured Environments. - Giuseppe Vecchio; Riccardo Emanuele Sarpietro; Francesco Cancelliere; Simone Palazzo; Dario C. Guastella; Alessandro Strano; Ignacio Carlucho; Giovanni Muscato; Stefano V. Albrecht; Concetto Spampinato (ERF (1), 2024)

Domain Generalization with fourier Transform and soft thresholding. - Hongyi Pan; Bin Wang 068; Zheyuan Zhang; Xin Zhu 005; Debesh Jha; Ahmet Enis Çetin; Concetto Spampinato; Ulas Bagci (ICASSP, 2024)

Vito: Vision Transformer Optimization Via Knowledge Distillation On Decoders. - Giovanni Bellitto; Renato Sortino; Paolo Spadaro; Simone Palazzo; Federica Proietto Salanitri; Giuseppe Fiameni; Efstratios Gavves; Concetto Spampinato (ICIP, 2024)

Self-Supervised Learning for Radio-Astronomy Source Classification: A Benchmark. - Thomas Cecconello; Simone Riggi; Ugo Becciani; Fabio Vitello; Andrew M. Hopkins; Giuseppe Vizzari; Concetto Spampinato; Simone Palazzo (ICPR (Workshops and Challenges, 4), 2024)

Evidential Federated Learning for Skin Lesion Image Classification. - Rutger Hendrix; Federica Proietto Salanitri; Concetto Spampinato; Simone Palazzo; Ulas Bagci (ICPR (29), 2024)

SalFoM: Dynamic Saliency Prediction with Video Foundation Models. - Morteza Moradi 001; Mohammad Moradi 001; Francesco Rundo; Concetto Spampinato; Ali Borji; Simone Palazzo (ICPR (22), 2024)

FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning. - Luca Palazzo; Matteo Pennisi; Federica Proietto Salanitri; Giovanni Bellitto; Simone Palazzo; Concetto Spampinato (ICPR (25), 2024)

Incremental Object 6D Pose Estimation. - Long Tian; Amelia Sorrenti; Yik Lung Pang; Giovanni Bellitto; Simone Palazzo; Concetto Spampinato; Changjae Oh (ICPR (26), 2024)

Leveraging SAM and Learnable Prompts for Pancreatic MRI Segmentation. - Cristian Delle Castelle; Fabio Spampinato; Federica Proietto Salanitri; Giovanni Bellitto; Concetto Spampinato (AIPAD/PILM@MICCAI, 2024)

Saliency-driven Experience Replay for Continual Learning. - Giovanni Bellitto; Federica Proietto Salanitri; Matteo Pennisi; Matteo Boschini; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara; Simone Palazzo; Concetto Spampinato (NeurIPS, 2024)

Exploring the Impact of Model Parameters and Components on Video Saliency Prediction with Foundation Models. - Morteza Moradi 001; Mohammad Moradi 001; Francesco Rundo; Concetto Spampinato; Ali Borji; Simone Palazzo (RRPR, 2024)

Sign Language Recognition for Patient-Doctor Communication: A Multimedia/Multimodal Dataset. - Raffaele Mineo; Gaia Caligiore; Concetto Spampinato; Sabina Fontana; Simone Palazzo; Egidio Ragonese (RTSI, 2024)

Transformer-Based Video Saliency Prediction with High Temporal Dimension Decoding. - Morteza Moradi 001; Simone Palazzo; Concetto Spampinato (VISIGRAPP (3): VISAPP, 2024)

Image CAPTCHAs: When Deep Learning Breaks the Mold. - Morteza Moradi 001; Mohammad Moradi 001; Simone Palazzo; Francesco Rundo; Concetto Spampinato (IEEE Access, 2024)

Selective Attention-based Modulation for Continual Learning. - Giovanni Bellitto; Federica Proietto Salanitri; Matteo Pennisi; Matteo Boschini; Angelo Porrello; Simone Calderara; Simone Palazzo; Concetto Spampinato (CoRR, 2024)

Diffexplainer: Towards Cross-modal Global Explanations with Diffusion Models. - Matteo Pennisi; Giovanni Bellitto; Simone Palazzo; Mubarak Shah; Concetto Spampinato (CoRR, 2024)

Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI. - Hongyi Pan; Gorkem Durak; Zheyuan Zhang; Yavuz Taktak; Elif Keles; Ertugrul Aktas; Alpay Medetalibeyoglu; Yury Velichko; Concetto Spampinato; Ivo Schoots; Marco J. Bruno; Rajesh N. Keswani; et al. (CoRR, 2024)

QuantFormer: Learning to Quantize for Neural Activity Forecasting in Mouse Visual Cortex. - Salvatore Calcagno 002; Isaak Kavasidis; Simone Palazzo; Marco Brondi; Luca Sità; Giacomo Turri; Daniela Giordano; Vladimir R. Kostic; Tommaso Fellin; Massimiliano Pontil; Concetto Spampinato (CoRR, 2024)

Guest Editorial Introduction to the Issue on Pre-Trained Models for Multi-Modality Understanding. - Wengang Zhou 001; Jiajun Deng; Niculae Sebe; Qi Tian 001; Alan L. Yuille; Concetto Spampinato; Zakia Hammal (IEEE Trans. Multim., 2024)

FedER: Federated Learning through Experience Replay and privacy-preserving data synthesis. - Matteo Pennisi; Federica Proietto Salanitri; Giovanni Bellitto; Bruno Casella; Marco Aldinucci; Simone Palazzo; Concetto Spampinato (Comput. Vis. Image Underst., 2024)

Terrain traversability prediction through self-supervised learning and unsupervised domain adaptation on synthetic data. - Giuseppe Vecchio; Simone Palazzo; Dario C. Guastella; Daniela Giordano; Giovanni Muscato; Concetto Spampinato (Auton. Robots, 2024)

A Convolutional-Transformer Model for FFR and iFR Assessment From Coronary Angiography. - Raffaele Mineo; Federica Proietto Salanitri; Giovanni Bellitto; Isaak Kavasidis; Ovidio De Filippo; M. Millesimo; Gaetano Maria de Ferrari; Marco Aldinucci; Daniela Giordano; Simone Palazzo; Fabrizio D'Ascenzo; Concetto Spampinato (IEEE Trans. Medical Imaging, 2024)

Rebuttal to "Comments on 'Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features' ". - Simone Palazzo; Concetto Spampinato; Isaak Kavasidis; Daniela Giordano; Joseph Schmidt; Mubarak Shah (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation. - Renato Sortino; Thomas Cecconello; Andrea DeMarco; Giuseppe Fiameni; Andrea Pilzer; Daniel Magro; Andrew M. Hopkins; Simone Riggi; Eva Sciacca; Adriano Ingallinera; Cristobal Bordiu; Filomena Bufano; et al. (IEEE Trans. Artif. Intell., 2024)

Training-free fish species population monitoring in unconstrained underwater videos. - Isaak Kavasidis; Amelia Sorrenti; Orazio Tomarchio; Daniela Giordano; Marco Milazzo; Gabriele Turco; Carlo Cattano; Concetto Spampinato (ANT/EDI40, 2025)

Automated MoCA Score Estimation Using Eye-Gaze Data and Vision Transformers. - Raffaele Mineo; Isaak Kavasidis; Federica Proietto Salanitri; Lisa Passarello; Giovanni Piccininno; Vincenzo Masciale; Alessandro Anselmo; Cristiano Convertino; Domenico Rotondi; Nicola Laurieri; Simone Palazzo; Concetto Spampinato; et al. (CBMS, 2025)

Performance Evaluation Of Reinforcement Learning Algorithms For Navigation In Unstructured Environments. - Francesco Cancelliere; Giuseppe Sutera; Dario Calogero Guastella; Simone Palazzo; Giovanni Muscato; Concetto Spampinato (ECMS, 2025)

EEG-Music Emotion Recognition: Challenge Overview. - Salvatore Calcagno 002; Simone Carnemolla; Isaak Kavasidis; Simone Palazzo; Daniela Giordano; Concetto Spampinato (ICASSP, 2025)

Distilling Knowledge from Large Video Models for Driver Visual Attention Prediction. - Morteza Moradi 001; Mohammad Moradi 001; Concetto Spampinato; Ali Borji; Simone Palazzo (ICASSP, 2025)

Conditional Visuo-Textual Prompt Learning for Medical Image Analysis. - Raffaele Mineo; Giovanni Bellitto; Federica Proietto Salanitri; Rutger Hendrix; Ulas Bagci; Daniela Giordano; Concetto Spampinato; Simone Palazzo (ISBI, 2025)

Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI. - Hongyi Pan; Gorkem Durak; Zheyuan Zhang; Yavuz Taktak; Elif Keles; Halil Ertugrul Aktas; Alpay Medetalibeyoglu; Yury Velichko; Concetto Spampinato; Ivo Schoots; Marco J. Bruno; Rajesh N. Keswani; et al. (ISBI, 2025)

IPMN Risk Assessment Under Federated Learning Paradigm. - Hongyi Pan; Ziliang Hong; Gorkem Durak; Elif Keles; Halil Ertugrul Aktas; Yavuz Taktak; Alpay Medetalibeyoglu; Zheyuan Zhang; Yury Velichko; Concetto Spampinato; Ivo Schoots; Marco J. Bruno; et al. (ISBI, 2025)

Large-scale multi-center CT and MRI segmentation of pancreas with deep learning. - Zheyuan Zhang; Elif Keles; Gorkem Durak; Yavuz Taktak; Onkar Susladkar; Vandan Gorade; Debesh Jha; Asli C. Ormeci; Alpay Medetalibeyoglu; Lanhong Yao; Bin Wang 068; Ilkin Sevgi Isler; et al. (Medical Image Anal., 2025)

Recent advancements in driver's attention prediction. - Morteza Moradi 001; Simone Palazzo; Francesco Rundo; Concetto Spampinato (Multim. Tools Appl., 2025)

Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter MRI in Centralized and Federated Learning. - Hongyi Pan; Gorkem Durak; Elif Keles; Deniz Seyithanoglu; Zheyuan Zhang; Alpay Medetalibeyoglu; Halil Ertugrul Aktas; Andrea Mia Bejar; Ziliang Hong; Yavuz Taktak; Gulbiz Dagoglu Kartal; Sukru Mehmet Erturk; et al. (CoRR, 2025)

Wake-Sleep Consolidated Learning. - Amelia Sorrenti; Giovanni Bellitto; Federica Proietto Salanitri; Matteo Pennisi; Simone Palazzo; Concetto Spampinato (IEEE Trans. Neural Networks Learn. Syst., 2025)