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2020 – today
- 2024
[j24]Moisés Díaz
, Miguel A. Ferrer, Gennaro Vessio:
Explainable offline automatic signature verifier to support forensic handwriting examiners. Neural Comput. Appl. 36(5): 2411-2427 (2024)- [c47]Daniela Amendola, Teresa M. A. Basile, Giovanna Castellano, Gennaro Vessio, Gianluca Zaza:
From Voxels to Insights: Exploring the Effectiveness and Transparency of Graph Neural Networks in Brain Tumor Segmentation. IJCNN 2024: 1-7 - [c46]Gabriella Casalino, Giovanna Castellano, Gennaro Vessio, Gianluca Zaza:
Advancing e-health with AI: Insights from our research experience in neuroimaging, acoustic signals, and vital parameter monitoring. Ital-IA 2024: 295-300 - [i13]Moisés Díaz, Miguel A. Ferrer, Gennaro Vessio:
Explainable offline automatic signature verifier to support forensic handwriting examiners. CoRR abs/2405.12695 (2024) - [i12]Moisés Díaz, Miguel Ángel Ferrer, Donato Impedovo, Giuseppe Pirlo, Gennaro Vessio:
Dynamically enhanced static handwriting representation for Parkinson's disease detection. CoRR abs/2405.13438 (2024) - [i11]Pasquale De Marinis, Nicola Fanelli, Raffaele Scaringi, Emanuele Colonna, Giuseppe Fiameni, Gennaro Vessio, Giovanna Castellano:
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts. CoRR abs/2407.02075 (2024) - [i10]Lorenzo Loconte, Antonio Mari, Gennaro Gala, Robert Peharz, Cassio de Campos, Erik Quaeghebeur, Gennaro Vessio, Antonio Vergari:
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)? CoRR abs/2409.07953 (2024) - 2023
- [j23]Giovanna Castellano, Eugenio Cotardo, Corrado Mencar, Gennaro Vessio:
Density-based clustering with fully-convolutional networks for crowd flow detection from drones. Neurocomputing 526: 169-179 (2023) - [j22]Giovanna Castellano, Pasquale De Marinis, Gennaro Vessio:
Weed mapping in multispectral drone imagery using lightweight vision transformers. Neurocomputing 562: 126914 (2023) - [j21]Gabriella Casalino, Giovanna Castellano, Arianna Consiglio, Nicoletta Nuzziello, Gennaro Vessio:
MicroRNA expression classification for pediatric multiple sclerosis identification. J. Ambient Intell. Humaniz. Comput. 14(12): 15851-15860 (2023) - [j20]Serena De Ruvo, Gianvito Pio, Gennaro Vessio, Vincenzo Volpe:
Forecasting and what-if analysis of new positive COVID-19 cases during the first three waves in Italy. Medical Biol. Eng. Comput. 61(8): 2051-2066 (2023) - [c45]Giovanna Castellano, Raffaele Scaringi, Gennaro Vessio:
Recognizing the Style, Genre, and Emotion of a Work of Art Through Visual and Knowledge Graph Embeddings. AI*IA 2023: 427-440 - [c44]Alessandro Pio, Giovanna Castellano, Filippo Mignosi, Giuseppe Placidi, Matteo Polsinelli, Alessandro Sciarra, Gennaro Vessio:
Graph Model to Represent Color Closeness in Pseudo-color Multimodal MRI. CBMS 2023: 456-462 - [c43]Giovanna Castellano, Eufemia Lella, Valerio Longo, Giuseppe Placidi, Matteo Polsinelli, Gennaro Vessio:
Combining Unsupervised and Supervised Deep Learning for Alzheimer's Disease Detection by Fractional Anisotropy Imaging. CBMS 2023: 511-516 - [c42]Tommaso Bianco, Giovanna Castellano, Raffaele Scaringi, Gennaro Vessio:
Identifying AI-Generated Art with Deep Learning. CREAI@AI*IA 2023: 16-25 - [c41]Giovanna Castellano, Pasquale De Marinis, Gennaro Vessio:
Applying Knowledge Distillation to Improve Weed Mapping With Drones. FedCSIS 2023: 393-400 - [c40]Giovanna Castellano, Nicola Fanelli, Raffaele Scaringi, Gennaro Vessio:
Exploring the Synergy Between Vision-Language Pretraining and ChatGPT for Artwork Captioning: A Preliminary Study. ICIAP Workshops (2) 2023: 309-321 - [c39]Giovanna Castellano, Raffaele Scaringi, Gennaro Vessio:
Automatic analysis of artistic heritage through Artificial Intelligence. IRCDL 2023: 192-196 - [c38]Rosa Porro, Thomas Ercole, Giuseppe Pipitò, Gennaro Vessio, Corrado Loglisci:
Predicting Investor Behavior and Investment Patterns in Equity and Lending Crowdfunding Campaigns. SEBD 2023: 583-594 - [i9]Giovanna Castellano, Eugenio Cotardo, Corrado Mencar, Gennaro Vessio:
Density-based clustering with fully-convolutional networks for crowd flow detection from drones. CoRR abs/2301.04937 (2023) - 2022
- [j19]Matteo Testi, Matteo Ballabio, Emanuele Frontoni, Giulio Iannello, Sara Moccia, Paolo Soda, Gennaro Vessio:
MLOps: A Taxonomy and a Methodology. IEEE Access 10: 63606-63618 (2022) - [j18]Giuseppina Andresini, Annalisa Appice, Francesco Paolo Caforio, Donato Malerba, Gennaro Vessio:
ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection. Expert Syst. Appl. 201: 117144 (2022) - [j17]Giovanna Castellano, Gennaro Vessio:
A Deep Learning Approach to Clustering Visual Arts. Int. J. Comput. Vis. 130(11): 2590-2605 (2022) - [j16]Katarzyna Kaczmarek-Majer, Gabriella Casalino, Giovanna Castellano, Monika Dominiak, Olgierd Hryniewicz, Olga Kaminska, Gennaro Vessio, Natalia Díaz Rodríguez:
PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries. Inf. Sci. 614: 374-399 (2022) - [j15]Giovanna Castellano, Vincenzo Digeno, Giovanni Sansaro, Gennaro Vessio:
Leveraging Knowledge Graphs and Deep Learning for automatic art analysis. Knowl. Based Syst. 248: 108859 (2022) - [j14]Momina Moetesum, Moisés Díaz Cabrera, Uzma Masroor, Imran Siddiqi, Gennaro Vessio:
A survey of visual and procedural handwriting analysis for neuropsychological assessment. Neural Comput. Appl. 34(12): 9561-9578 (2022) - [c37]Giovanna Castellano, Corrado Mencar, Gennaro Vessio:
Computer Vision Meets Drones: Our Research Experience. DP@AI*IA 2022: 48-54 - [c36]Giuseppe Placidi, Giovanna Castellano, Filippo Mignosi, Matteo Polsinelli, Gennaro Vessio:
Investigating the Effectiveness of Color Coding in Multimodal Medical Imaging. CBMS 2022: 270-275 - [c35]Sinem Aslan, Giovanna Castellano, Vincenzo Digeno, Giuseppe Migailo, Raffaele Scaringi, Gennaro Vessio:
Recognizing the Emotions Evoked by Artworks Through Visual Features and Knowledge Graph-Embeddings. ICIAP Workshops (1) 2022: 129-140 - [c34]Giovanna Castellano, Giuseppe Placidi, Matteo Polsinelli, Gianpiero Tulipani, Gennaro Vessio:
Unsupervised Brain MRI Anomaly Detection for Multiple Sclerosis Classification. ICPR Workshops (1) 2022: 644-652 - [c33]Giovanna Castellano, Corrado Mencar, Gaetano Sette, Francesco Saverio Troccoli, Gennaro Vessio:
Crowd Flow Detection from Drones with Fully Convolutional Networks and Clustering. IJCNN 2022: 1-8 - 2021
- [j13]Daniela Mazzolini, Paolo Mignone, Patrizia Pavan, Gennaro Vessio:
An easy-to-explain decision support framework for forensic analysis of dynamic signatures. Digit. Investig. 38: 301216 (2021) - [j12]Moisés Díaz, Momina Moetesum, Imran Siddiqi, Gennaro Vessio:
Sequence-based dynamic handwriting analysis for Parkinson's disease detection with one-dimensional convolutions and BiGRUs. Expert Syst. Appl. 168: 114405 (2021) - [j11]Fabio Bellavia, Giovanna Castellano, Gennaro Vessio:
Editorial for Special Issue "Fine Art Pattern Extraction and Recognition". J. Imaging 7(10): 195 (2021) - [j10]Giovanna Castellano, Eufemia Lella, Gennaro Vessio:
Visual link retrieval and knowledge discovery in painting datasets. Multim. Tools Appl. 80(5): 6599-6616 (2021) - [j9]Giovanna Castellano, Gennaro Vessio:
Deep learning approaches to pattern extraction and recognition in paintings and drawings: an overview. Neural Comput. Appl. 33(19): 12263-12282 (2021) - [c32]Giovanna Castellano, Gennaro Vessio:
Understanding Art with AI: Our Research Experience. DP@AI*IA 2021: 92-98 - [c31]Sergio Caputo, Giovanna Castellano, Francesco Greco, Corrado Mencar, Niccolò Petti, Gennaro Vessio:
Human Detection in Drone Images Using YOLO for Search-and-Rescue Operations. AI*IA 2021: 326-337 - [c30]Giovanna Castellano, Berardina De Carolis, Nicola Marvulli, Mauro Sciancalepore, Gennaro Vessio:
Real-Time Age Estimation from Facial Images Using YOLO and EfficientNet. CAIP (2) 2021: 275-284 - [c29]Francesco Paolo Caforio, Giuseppina Andresini, Gennaro Vessio, Annalisa Appice, Donato Malerba:
Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems. DS 2021: 385-400 - [c28]Giovanna Castellano, Giovanni Sansaro, Gennaro Vessio:
Integrating Contextual Knowledge to Visual Features for Fine Art Classification. DL4KG@ISWC 2021 - [c27]Pierluigi Bemportato, Gabriella Casalino, Giovanna Castellano, Gennaro Vessio:
Automatic Clustering of CT Scans of COVID-19 Patients Based on Deep Learning. MDAI 2021: 231-242 - [c26]Giovanna Castellano, Andrea Esposito, Marco Mirizio, Graziano Montanaro, Gennaro Vessio:
Detection of Dementia Through 3D Convolutional Neural Networks Based on Amyloid PET. SSCI 2021: 1-6 - [c25]Giovanna Castellano, Ciro Castiello, Andrea Montemurro, Gennaro Vessio, Gianluca Zaza:
Segmentation of remotely sensed images with a neuro-fuzzy inference system. WILF 2021 - [i8]Moisés Díaz, Momina Moetesum, Imran Siddiqi, Gennaro Vessio:
Sequence-based Dynamic Handwriting Analysis for Parkinson's Disease Detection with One-dimensional Convolutions and BiGRUs. CoRR abs/2101.09461 (2021) - [i7]Eufemia Lella, Gennaro Vessio:
Ensembling complex network 'perspectives' for mild cognitive impairment detection with artificial neural networks. CoRR abs/2101.10629 (2021) - [i6]Giovanna Castellano, Giovanni Sansaro, Gennaro Vessio:
ArtGraph: Towards an Artistic Knowledge Graph. CoRR abs/2105.15028 (2021) - [i5]Giovanna Castellano, Gennaro Vessio:
A deep learning approach to clustering visual arts. CoRR abs/2106.06234 (2021) - [i4]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao:
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. CoRR abs/2107.08766 (2021) - 2020
- [j8]Giovanna Castellano, Ciro Castiello, Corrado Mencar, Gennaro Vessio:
Crowd Detection in Aerial Images Using Spatial Graphs and Fully-Convolutional Neural Networks. IEEE Access 8: 64534-64544 (2020) - [j7]Eufemia Lella, Gennaro Vessio:
Ensembling complex network 'perspectives' for mild cognitive impairment detection with artificial neural networks. Pattern Recognit. Lett. 136: 168-174 (2020) - [c24]Giovanna Castellano, Berardina De Carolis, Nicola Macchiarulo, Gennaro Vessio:
Pepper4Museum: Towards a Human-like Museum Guide. AVI²CH@AVI 2020 - [c23]Giovanna Castellano, Gennaro Vessio:
Deep Convolutional Embedding for Painting Clustering: Case Study on Picasso's Artworks. DS 2020: 68-78 - [c22]Gabriella Casalino, Gennaro Vessio, Arianna Consiglio:
Evaluation of Cognitive Impairment in Pediatric Multiple Sclerosis with Machine Learning: An Exploratory Study of miRNA Expressions. EAIS 2020: 1-6 - [c21]Giovanna Castellano, Ciro Castiello, Marco Cianciotta, Corrado Mencar, Gennaro Vessio:
Multi-view Convolutional Network for Crowd Counting in Drone-Captured Images. ECCV Workshops (4) 2020: 588-603 - [c20]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao:
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. ECCV Workshops (4) 2020: 675-691 - [c19]Gabriella Casalino, Giovanna Castellano, Gennaro Vessio:
Exploiting Time in Adaptive Learning from Educational Data. HELMeTO 2020: 3-16 - [c18]Giovanna Castellano, Gennaro Vessio:
A Brief Overview of Deep Learning Approaches to Pattern Extraction and Recognition in Paintings and Drawings. ICPR Workshops (3) 2020: 487-501 - [c17]Giovanna Castellano, Gennaro Vessio:
Deep Convolutional Embedding for Digitized Painting Clustering. ICPR 2020: 2708-2715 - [c16]Giovanna Castellano, Ciro Castiello, Corrado Mencar, Gennaro Vessio:
Crowd Counting from Unmanned Aerial Vehicles with Fully-Convolutional Neural Networks. IJCNN 2020: 1-8 - [c15]Daniela Mazzolini, Patrizia Pavan, Giuseppe Pirlo, Gennaro Vessio:
Towards a Decision Support Framework for Forensic Analysis of Dynamic Signatures. IRCDL 2020: 9-14 - [c14]Giovanna Castellano, Gennaro Vessio:
Towards a Tool for Visual Link Retrieval and Knowledge Discovery in Painting Datasets. IRCDL 2020: 105-110 - [c13]Giovanna Castellano, Antonio Cervelione, Marco Cianciotta, Berardina De Carolis, Gennaro Vessio:
Recognizing the Waving Gesture in the Interaction with a Social Robot. RO-MAN 2020: 733-738 - [c12]Giovanna Castellano, Ciro Castiello, Corrado Mencar, Gennaro Vessio:
Crowd Detection for Drone Safe Landing Through Fully-Convolutional Neural Networks. SOFSEM 2020: 301-312 - [p1]Donato Impedovo, Giuseppe Pirlo, Fabrizio Balducci, Vincenzo Dentamaro, Lucia Sarcinella, Gennaro Vessio:
Investigating the Sigma-Lognormal Model for Disease Classification by Handwriting. The Lognormality Principle 2020: 195-209 - [i3]Giovanna Castellano, Eufemia Lella, Gennaro Vessio:
Visual link retrieval and knowledge discovery in painting datasets. CoRR abs/2003.08476 (2020) - [i2]Giovanna Castellano, Gennaro Vessio:
Deep convolutional embedding for digitized painting clustering. CoRR abs/2003.08597 (2020)
2010 – 2019
- 2019
- [j6]Maria Teresa Angelillo, Fabrizio Balducci, Donato Impedovo, Giuseppe Pirlo, Gennaro Vessio:
Attentional Pattern Classification for Automatic Dementia Detection. IEEE Access 7: 57706-57716 (2019) - [j5]Donato Impedovo, Giuseppe Pirlo, Gennaro Vessio, Maria Teresa Angelillo:
A Handwriting-Based Protocol for Assessing Neurodegenerative Dementia. Cogn. Comput. 11(4): 576-586 (2019) - [j4]Moisés Díaz, Miguel Angel Ferrer-Ballester, Donato Impedovo, Giuseppe Pirlo, Gennaro Vessio:
Dynamically enhanced static handwriting representation for Parkinson's disease detection. Pattern Recognit. Lett. 128: 204-210 (2019) - [c11]Maria Teresa Angelillo, Donato Impedovo, Giuseppe Pirlo, Gennaro Vessio:
Performance-Driven Handwriting Task Selection for Parkinson's Disease Classification. AI*IA 2019: 281-293 - [c10]Maria Teresa Angelillo, Donato Impedovo, Giuseppe Pirlo, Lucia Sarcinella, Gennaro Vessio:
Handwriting Dynamics as an Indicator of Cognitive Reserve: An Exploratory Study. SMC 2019: 835-840 - [c9]Donato Impedovo, Giuseppe Pirlo, Lucia Sarcinella, Gennaro Vessio:
An Evolutionary Approach to address Interoperability Issues in Multi-Device Signature Verification. SMC 2019: 3048-3053 - 2018
- [j3]Donato Impedovo, Giuseppe Pirlo, Gennaro Vessio:
Dynamic Handwriting Analysis for Supporting Earlier Parkinson's Disease Diagnosis. Inf. 9(10): 247 (2018) - [j2]Alessandro Bianchi, Sebastiano Pizzutilo, Gennaro Vessio:
An ASM-based characterisation of starvation-free systems. Int. J. Parallel Emergent Distributed Syst. 33(1): 35-51 (2018) - 2017
- [b1]Gennaro Vessio:
Analysis of Properties of Complex Systems with Abstract State Machines. University of Bari, Italy, 2017 - [c8]Donato Impedovo, Giuseppe Pirlo, Maria Teresa Angelillo, Gennaro Vessio:
Towards a Digitized Protocol based on Handwriting for the Assessment of Neurodegenerative Disorders. WAIAH@AI*IA 2017: 1-8 - [c7]Alessandro Bianchi, Sebastiano Pizzutilo, Gennaro Vessio:
Intercepting Blackhole Attacks in MANETs: An ASM-based Model. SEFM Workshops 2017: 137-152 - [i1]Alessandro Bianchi, Sebastiano Pizzutilo, Gennaro Vessio:
An ASM-based Characterization of Starvation-free Systems. CoRR abs/1707.06560 (2017) - 2016
- [j1]Alessandro Bianchi, Sebastiano Pizzutilo, Gennaro Vessio:
CoreASM-based Evaluation of the N-AODV Protocol for MANETs. J. Mobile Multimedia 12(1&2): 31-51 (2016) - [c6]Alessandro Bianchi, Sebastiano Pizzutilo, Gennaro Vessio:
Towards an ASM-based Characterization of the Deadlock-freedom Property. ICSOFT-PT 2016: 123-130 - 2015
- [c5]Alessandro Bianchi, Sebastiano Pizzutilo, Gennaro Vessio:
Applying Predicate Abstraction to Abstract State Machines. BMMDS/EMMSAD 2015: 283-292 - [c4]Alessandro Bianchi, Sebastiano Pizzutilo, Gennaro Vessio:
Applying Predicate Abstraction to Abstract State Machines. BMMDS/EMMSAD 2015: 479-488 - [c3]Alessandro Bianchi, Sebastiano Pizzutilo, Gennaro Vessio:
Comparing AODV and N-AODV Routing Protocols for Mobile Ad-hoc Networks. MoMM 2015: 159-168 - [c2]Gennaro Vessio:
Reasoning about Properties with Abstract State Machines. STAF Doctoral Symposium 2015: 1-10 - 2014
- [c1]Alessandro Bianchi, Sebastiano Pizzutilo, Gennaro Vessio:
Preliminary Description of NACK-based Ad-hoc On-demand Distance Vector Routing Protocol for MANETs. ICSOFT EA 2014: 500-505
Coauthor Index
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