Paolo Napoletano is Associate Professor of Computer Science at the Department of Informatics, Systems and Communication of the University of Milano-Bicocca since 2021. He has got the Italian National Academic Qualification as Full Professor of Computer Science (01/B1) and Computer Engineering (09/H1) in January 2021 and November 2020 respectively. From 2018 to 2021 he has been tenured Assistant Professor of Computer Science at University of Milan-Bicocca. From 2012 to 2018 he has been post-doc researcher at University of Milan-Bicocca and from 2007 to 2012 post-doc researcher at University of Salerno. In 2007, he received a Doctor of Philosophy degree (PhD) in Information Engineering from the University of Salerno with a thesis focused on Computational Vision and Pattern Recognition. In 2003, he received a Master’s degree in Telecommunications Engineering from the University of Naples Federico II, with a thesis focused on Transmission of Electromagnetic Fields. His main research interests are in the field of Artificial Intelligence, Machine and Deep Learning, Computer Vision, Pattern Recognition, Intelligent Sensors, Biological signal processing, Human-Machine Systems, Digital Health, AI-Assisted Healthcare, Telemonitoring, Telehealth, Intelligent Consumer Technologies and Internet of Things. He is author of more than 120 scientific papers in Scopus high-ranked and indexed journals and conferences. He is on the Stanford list of World’s top 2% researchers in “Artificial Intelligence and Image Processing” in 2019, 2020 and 2021.He is Associate Editor of the IEEE Journal of Biomedical and Health Informatics, Neurocomputing Elsevier Journal, IET Signal Processing, MDPI Sensors Journal and MDPI Smart Cities Journal. He is member of the ELLIS Society (European Laboratory for Learning and Intelligent Systems). He is the chair of the IEEE CTSoc Machine learning, Deep learning and AI in CE (MDA) Technical Committee (TC). He has been principal investigator of several research contracts with consumer electronics industries and responsible of research activities in public-funded projects. He is co-founder of the Spin-Off Imaging and Vision Solutions. At the University of Milano-Bicocca he is professor of Foundations of Deep Learning, Intelligent Consumer Technologies, Internet of Things and Databases.
Journal Articles
Proceedings
Book Chapters
Patents
2026 Authenticated Robotic Teleoperation with Task Recognition Stan, I., Amrani, H., Napoletano, P., D'Auria, D. (2026). Authenticated Robotic Teleoperation with Task Recognition. IEEE CONSUMER ELECTRONICS MAGAZINE, 15(1), 33-40 [10.1109/MCE.2025.3546049].2026 Alzheimer's disease classification from EEG using a multiscale temporal deep network Zini, S., Barbera, T., Bianco, S., Napoletano, P. (2026). Alzheimer's disease classification from EEG using a multiscale temporal deep network. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 114(1 April 2026) [10.1016/j.bspc.2025.109321].2025 Leveraging dataset integration and continual learning for human activity recognition Amrani, H., Micucci, D., Mobilio, M., Napoletano, P. (2025). Leveraging dataset integration and continual learning for human activity recognition. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 16(7-8), 5213-5234 [10.1007/s13042-025-02569-1].2025 A Systematic Literature Review of Innovations, Challenges, and Future Directions in Telemonitoring and Wearable Health Technologies Stan, I., D'Auria, D., Napoletano, P. (2025). A Systematic Literature Review of Innovations, Challenges, and Future Directions in Telemonitoring and Wearable Health Technologies. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 1-22 [10.1109/JBHI.2025.3598056].2025 Improving image captioning descriptiveness by ranking and LLM-based fusion Celona, L., Bianco, S., Donzella, M., Napoletano, P. (2025). Improving image captioning descriptiveness by ranking and LLM-based fusion. NEURAL COMPUTING & APPLICATIONS, 37(32), 27279-27299 [10.1007/s00521-025-11672-x].2025 Lightweight Sequential Transformers for Blood Glucose Level Prediction in Type-1 Diabetes Barbato, M., Rigamonti, G., Marelli, D., Napoletano, P. (2025). Lightweight Sequential Transformers for Blood Glucose Level Prediction in Type-1 Diabetes. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS [10.1109/JBHI.2025.3633194].2025 On Using AI for EEG-Based BCI Applications: Problems, Current Challenges and Future Trends Barbera, T., Burger, J., D'Amelio, A., Zini, S., Bianco, S., Lanzarotti, R., et al. (2025). On Using AI for EEG-Based BCI Applications: Problems, Current Challenges and Future Trends. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION [10.1080/10447318.2025.2561185].2025 Guest Editorial Special Section on Edge AI Strategies for Fortifying Security and Privacy in Healthcare Devices Piran, M., Napoletano, P., Gittens, M. (2025). Guest Editorial Special Section on Edge AI Strategies for Fortifying Security and Privacy in Healthcare Devices. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 71(4), 11146-11149 [10.1109/TCE.2025.3601344].2024 Semi-supervised cross-lingual speech emotion recognition Agarla, M., Bianco, S., Celona, L., Napoletano, P., Petrovsky, A., Piccoli, F., et al. (2024). Semi-supervised cross-lingual speech emotion recognition. EXPERT SYSTEMS WITH APPLICATIONS, 237(Part A (1 March 2024)) [10.1016/j.eswa.2023.121368].2024 Deep Representation Learning for Open Vocabulary Electroencephalography-to-Text Decoding Amrani, H., Micucci, D., Napoletano, P. (2024). Deep Representation Learning for Open Vocabulary Electroencephalography-to-Text Decoding. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 1-12 [10.1109/JBHI.2024.3416066].2024 Ticino: A multi-modal remote sensing dataset for semantic segmentation Barbato, M., Piccoli, F., Napoletano, P. (2024). Ticino: A multi-modal remote sensing dataset for semantic segmentation. EXPERT SYSTEMS WITH APPLICATIONS, 249(Part A 1 September 2024) [10.1016/j.eswa.2024.123600].2024 Deep Learning Hyperspectral Pansharpening on Large-Scale PRISMA Dataset Zini, S., Barbato, M., Piccoli, F., Napoletano, P. (2024). Deep Learning Hyperspectral Pansharpening on Large-Scale PRISMA Dataset. REMOTE SENSING, 16(12) [10.3390/rs16122079].2024 Synthetic Data Pretraining for Hyperspectral Image Super-Resolution Aiello, E., Agarla, M., Valsesia, D., Napoletano, P., Bianchi, T., Magli, E., et al. (2024). Synthetic Data Pretraining for Hyperspectral Image Super-Resolution. IEEE ACCESS, 12, 65024-65031 [10.1109/ACCESS.2024.3396990].2024 Enhancing Direction-of-Arrival Estimation with Multi-Task Learning Bianco, S., Celona, L., Crotti, P., Napoletano, P., Petraglia, G., Vinetti, P. (2024). Enhancing Direction-of-Arrival Estimation with Multi-Task Learning. SENSORS, 24(22) [10.3390/s24227390].2023 Deep learning and model personalization in sensor-based human activity recognition Ferrari, A., Micucci, D., Mobilio, M., Napoletano, P. (2023). Deep learning and model personalization in sensor-based human activity recognition. JOURNAL OF RELIABLE INTELLIGENT ENVIRONMENTS, 9(1), 27-39 [10.1007/s40860-021-00167-w].2023 An Open-Source Platform for GIS Data Management and Analytics Piccoli, F., Locatelli, S., Schettini, R., Napoletano, P. (2023). An Open-Source Platform for GIS Data Management and Analytics. SENSORS, 23(8) [10.3390/s23083788].2023 Unified Framework for Identity and Imagined Action Recognition From EEG Patterns Buzzelli, M., Bianco, S., Napoletano, P. (2023). Unified Framework for Identity and Imagined Action Recognition From EEG Patterns. IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 53(3), 529-537 [10.1109/THMS.2023.3267898].2023 A deep scalable neural architecture for soil properties estimation from spectral information Piccoli, F., Rossini, M., Colombo, R., Schettini, R., Napoletano, P. (2023). A deep scalable neural architecture for soil properties estimation from spectral information. COMPUTERS & GEOSCIENCES, 180(November 2023) [10.1016/j.cageo.2023.105433].2023 Estimation of Soil Characteristics from Multispectral Sentinel-3 Imagery and DEM Derivatives Using Machine Learning Piccoli, F., Barbato, M., Peracchi, M., Napoletano, P. (2023). Estimation of Soil Characteristics from Multispectral Sentinel-3 Imagery and DEM Derivatives Using Machine Learning. SENSORS, 23(18) [10.3390/s23187876].2023 Quasi Real-Time Apple Defect Segmentation Using Deep Learning Agarla, M., Napoletano, P., Schettini, R. (2023). Quasi Real-Time Apple Defect Segmentation Using Deep Learning. SENSORS, 23(18) [10.3390/s23187893].2022 U-WeAr: User Recognition on Wearable Devices through Arm Gesture Bianco, S., Napoletano, P., Raimondi, A., Rima, M. (2022). U-WeAr: User Recognition on Wearable Devices through Arm Gesture. IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 52(4), 713-724 [10.1109/THMS.2022.3170829].2022 Composition and Style Attributes Guided Image Aesthetic Assessment Celona, L., Leonardi, M., Napoletano, P., Rozza, A. (2022). Composition and Style Attributes Guided Image Aesthetic Assessment. IEEE TRANSACTIONS ON IMAGE PROCESSING, 31, 5009-5024 [10.1109/TIP.2022.3191853].2022 Unsupervised segmentation of hyperspectral remote sensing images with superpixels Barbato, M., Napoletano, P., Piccoli, F., Schettini, R. (2022). Unsupervised segmentation of hyperspectral remote sensing images with superpixels. REMOTE SENSING APPLICATIONS, 28 [10.1016/j.rsase.2022.100823].2021 Disentangling Image Distortions in Deep Feature Space Bianco, S., Celona, L., Napoletano, P. (2021). Disentangling Image Distortions in Deep Feature Space. PATTERN RECOGNITION LETTERS, 148, 128-135 [10.1016/j.patrec.2021.05.008].2021 A LoRa-Based Mesh Network for Peer-to-Peer Long-Range Communication Berto, R., Napoletano, P., Savi, M. (2021). A LoRa-Based Mesh Network for Peer-to-Peer Long-Range Communication. SENSORS, 21(13), 1-12 [10.3390/s21134314].2021 Semi-supervised anomaly detection for visual quality inspection Napoletano, P., Piccoli, F., Schettini, R. (2021). Semi-supervised anomaly detection for visual quality inspection. EXPERT SYSTEMS WITH APPLICATIONS, 183(30 November 2021) [10.1016/j.eswa.2021.115275].2021 A novel 1-d ccanet for ecg classification Tanoh, I., Napoletano, P. (2021). A novel 1-d ccanet for ecg classification. APPLIED SCIENCES, 11(6) [10.3390/app11062758].2021 T1k+: A database for benchmarking color texture classification and retrieval methods Cusano, C., Napoletano, P., Schettini, R. (2021). T1k+: A database for benchmarking color texture classification and retrieval methods. SENSORS, 21(3), 1-15 [10.3390/s21031010].2021 No reference, opinion unaware image quality assessment by anomaly detection Leonardi, M., Napoletano, P., Schettini, R., Rozza, A. (2021). No reference, opinion unaware image quality assessment by anomaly detection. SENSORS, 21(3), 1-16 [10.3390/s21030994].2021 Trends in human activity recognition using smartphones Ferrari, A., Micucci, D., Mobilio, M., Napoletano, P. (2021). Trends in human activity recognition using smartphones. JOURNAL OF RELIABLE INTELLIGENT ENVIRONMENTS, 7(3), 189-213 [10.1007/s40860-021-00147-0].2021 A grid anchor based cropping approach exploiting image aesthetics, geometric composition, and semantics Celona, L., Ciocca, G., Napoletano, P. (2021). A grid anchor based cropping approach exploiting image aesthetics, geometric composition, and semantics. EXPERT SYSTEMS WITH APPLICATIONS, 186 [10.1016/j.eswa.2021.115852].2021 A Smart Mirror for Emotion Monitoring in Home Environments Bianco, S., Celona, L., Ciocca, G., Marelli, D., Napoletano, P., Yu, S., et al. (2021). A Smart Mirror for Emotion Monitoring in Home Environments. SENSORS, 21(22) [10.3390/s21227453].2020 Positive technology for elderly well-being: A review Grossi, G., Lanzarotti, R., Napoletano, P., Noceti, N., Odone, F. (2020). Positive technology for elderly well-being: A review. PATTERN RECOGNITION LETTERS, 137(SI), 61-70 [10.1016/j.patrec.2019.03.016].2020 State Recognition of Food Images Using Deep Features Ciocca, G., Micali, G., Napoletano, P. (2020). State Recognition of Food Images Using Deep Features. IEEE ACCESS, 8, 32003-32017 [10.1109/ACCESS.2020.2973704].2020 On the Personalization of Classification Models for Human Activity Recognition Ferrari, A., Micucci, D., Mobilio, M., Napoletano, P. (2020). On the Personalization of Classification Models for Human Activity Recognition. IEEE ACCESS, 8, 32066-32079 [10.1109/ACCESS.2020.2973425].2020 A Novel Approach to Data Augmentation for Pavement Distress Segmentation Mazzini, D., Napoletano, P., Piccoli, F., Schettini, R. (2020). A Novel Approach to Data Augmentation for Pavement Distress Segmentation. COMPUTERS IN INDUSTRY, 121 [10.1016/j.compind.2020.103225].2019 Multitask painting categorization by deep multibranch neural network Bianco, S., Mazzini, D., Napoletano, P., Schettini, R. (2019). Multitask painting categorization by deep multibranch neural network. EXPERT SYSTEMS WITH APPLICATIONS, 135, 90-101 [10.1016/j.eswa.2019.05.036].2019 Biometric Recognition Using Multimodal Physiological Signals Bianco, S., Napoletano, P. (2019). Biometric Recognition Using Multimodal Physiological Signals. IEEE ACCESS, 7, 83581-83588 [10.1109/ACCESS.2019.2923856].2019 Comparative evaluation of hand-crafted image descriptors vs. Off-the-Shelf CNN-Based features for colour texture classification under ideal and realistic conditions Bello-Cerezo, R., Bianconi, F., Di Maria, F., Napoletano, P., Smeraldi, F. (2019). Comparative evaluation of hand-crafted image descriptors vs. Off-the-Shelf CNN-Based features for colour texture classification under ideal and realistic conditions. APPLIED SCIENCES, 9(4), 738 [10.3390/app9040738].2019 CNN-based refactoring of hand-designed filters for texture analysis: A classic revisited Bianconi, F., Cusano, C., Napoletano, P., Schettini, R. (2019). CNN-based refactoring of hand-designed filters for texture analysis: A classic revisited. IEEE ACCESS, 7, 173076-173085 [10.1109/ACCESS.2019.2956863].2018 On the use of deep learning for blind image quality assessment Bianco, S., Celona, L., Napoletano, P., Schettini, R. (2018). On the use of deep learning for blind image quality assessment. SIGNAL, IMAGE AND VIDEO PROCESSING, 12(2), 355-362 [10.1007/s11760-017-1166-8].2018 Visual descriptors for content-based retrieval of remote sensing images Napoletano, P. (2018). Visual descriptors for content-based retrieval of remote sensing images. INTERNATIONAL JOURNAL OF REMOTE SENSING, 39(5), 1343-1376 [10.1080/01431161.2017.1399472].2018 Improved opponent color local binary patterns: An effective local image descriptor for color texture classification Bianconi, F., Bello-Cerezo, R., Napoletano, P. (2018). Improved opponent color local binary patterns: An effective local image descriptor for color texture classification. JOURNAL OF ELECTRONIC IMAGING, 27(1), 1-10 [10.1117/1.JEI.27.1.011002].2018 Anomaly detection in nanofibrous materials by CNN-based self-similarity Napoletano, P., Piccoli, F., Schettini, R. (2018). Anomaly detection in nanofibrous materials by CNN-based self-similarity. SENSORS, 18(1), 209-209 [10.3390/s18010209].2018 CNN-based features for retrieval and classification of food images Ciocca, G., Napoletano, P., Schettini, R. (2018). CNN-based features for retrieval and classification of food images. COMPUTER VISION AND IMAGE UNDERSTANDING, 176-177, 70-77 [10.1016/j.cviu.2018.09.001].2018 UniMiB AAL: An android sensor data acquisition and labeling suite Ginelli, D., Micucci, D., Mobilio, M., Napoletano, P. (2018). UniMiB AAL: An android sensor data acquisition and labeling suite. APPLIED SCIENCES, 8(8), 1265 [10.3390/app8081265].2018 Benchmark analysis of representative deep neural network architectures Bianco, S., Cadene, R., Celona, L., Napoletano, P. (2018). Benchmark analysis of representative deep neural network architectures. IEEE ACCESS, 6, 64270-64277 [10.1109/ACCESS.2018.2877890].2017 Falls as anomalies? An experimental evaluation using smartphone accelerometer data Micucci, D., Mobilio, M., Napoletano, P., Tisato, F. (2017). Falls as anomalies? An experimental evaluation using smartphone accelerometer data. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 8(1), 87-99 [10.1007/s12652-015-0337-0].2017 Food Recognition: A New Dataset, Experiments, and Results Ciocca, G., Napoletano, P., Schettini, R. (2017). Food Recognition: A New Dataset, Experiments, and Results. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 21(3), 588-598 [10.1109/JBHI.2016.2636441].2017 UniMiB SHAR: A dataset for human activity recognition using acceleration data from smartphones Micucci, D., Mobilio, M., Napoletano, P. (2017). UniMiB SHAR: A dataset for human activity recognition using acceleration data from smartphones. APPLIED SCIENCES, 7(10) [10.3390/app7101101].2017 Improving CNN-based texture classification by color balancing Bianco, S., Cusano, C., Napoletano, P., Schettini, R. (2017). Improving CNN-based texture classification by color balancing. JOURNAL OF IMAGING, 3(3), 1-15 [10.3390/jimaging3030033].2017 Visual recognition of aircraft mechanical parts for smart maintenance Cusano, C., Napoletano, P. (2017). Visual recognition of aircraft mechanical parts for smart maintenance. COMPUTERS IN INDUSTRY, 86, 26-33 [10.1016/j.compind.2017.01.001].2016 Evaluating color texture descriptors under large variations of controlled lighting conditions Cusano, C., Napoletano, P., Schettini, R. (2016). Evaluating color texture descriptors under large variations of controlled lighting conditions. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA. A, OPTICS, IMAGE SCIENCE, AND VISION, 33(1), 17-30 [10.1364/JOSAA.33.000017].2016 Combining multiple features for color texture classification Cusano, C., Napoletano, P., Schettini, R. (2016). Combining multiple features for color texture classification. JOURNAL OF ELECTRONIC IMAGING, 25(6), 1-9 [10.1117/1.JEI.25.6.061410].2016 Special Section Guest Editorial: Color in Texture and Material Recognition Schettini, R., Van De Weijer, J., Cusano, C., Napoletano, P. (2016). Special Section Guest Editorial: Color in Texture and Material Recognition. JOURNAL OF ELECTRONIC IMAGING, 25(6), 061401 [10.1117/1.JEI.25.6.061401].2015 Attentive Monitoring of Multiple Video Streams Driven by a Bayesian Foraging Strategy Napoletano, P., Boccignone, G., Tisato, F. (2015). Attentive Monitoring of Multiple Video Streams Driven by a Bayesian Foraging Strategy. IEEE TRANSACTIONS ON IMAGE PROCESSING, 24(11), 3266-3281 [10.1109/TIP.2015.2431438].2015 Remote Sensing Image Classification Exploiting Multiple Kernel Learning Cusano, C., Napoletano, P., Schettini, R. (2015). Remote Sensing Image Classification Exploiting Multiple Kernel Learning. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 12(11), 2331-2335 [10.1109/LGRS.2015.2476365].2015 An interactive tool for manual, semi-automatic and automatic video annotation Bianco, S., Ciocca, G., Napoletano, P., Schettini, R. (2015). An interactive tool for manual, semi-automatic and automatic video annotation. COMPUTER VISION AND IMAGE UNDERSTANDING, 131, 88-99 [10.1016/j.cviu.2014.06.015].2015 Weighted Word Pairs for query expansion Colace, F., De Santo, M., Greco, L., Napoletano, P. (2015). Weighted Word Pairs for query expansion. INFORMATION PROCESSING & MANAGEMENT, 51(1), 179-193 [10.1016/j.ipm.2014.07.004].2015 Improving relevance feedback-based query expansion by the use of a weighted word pairs approach Colace, F., De Santo, M., Greco, L., Napoletano, P. (2015). Improving relevance feedback-based query expansion by the use of a weighted word pairs approach. JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 66(11), 2223-2234 [10.1002/asi.23331].2014 Text classification using a few labeled examples Colace, F., De Santo, M., Greco, L., Napoletano, P. (2014). Text classification using a few labeled examples. COMPUTERS IN HUMAN BEHAVIOR, 30, 689-697 [10.1016/j.chb.2013.07.043].2014 Combining local binary patterns and local color contrast for texture classification under varying illumination Cusano, C., Napoletano, P., Schettini, R. (2014). Combining local binary patterns and local color contrast for texture classification under varying illumination. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA. A, OPTICS, IMAGE SCIENCE, AND VISION, 31(7), 1453-1461 [10.1364/JOSAA.31.001453].
2026 Decoding Affective States from fMRI Using Automatically Labeled Multi-modal Movie Stimuli Corsico, A., Rigamonti, G., Zini, S., Celona, L., Napoletano, P. (2026). Decoding Affective States from fMRI Using Automatically Labeled Multi-modal Movie Stimuli. In Image Analysis and Processing - ICIAP 2025 Workshops 23rd International Conference, Rome, Italy, September 15–19, 2025, Proceedings, Part I (pp.89-100) [10.1007/978-3-032-11317-7_8].2026 Deep Multi-band EEG Learning for Motor Imagery Classification with Dry Electrodes Amrani, H., Micucci, D., Napoletano, P. (2026). Deep Multi-band EEG Learning for Motor Imagery Classification with Dry Electrodes. In Image Analysis and Processing – ICIAP 2025 23rd International Conference, Rome, Italy, September 15–19, 2025, Proceedings, Part II (pp.339-350). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-032-10192-1_28].2025 Multimodal Earth Observation Modeling using AI Barbato, M., Piccoli, F., Napoletano, P. (2025). Multimodal Earth Observation Modeling using AI. In Modelling and Simulation for Autonomous Systems
10th International Conference, MESAS 2023, Palermo, Italy, October 17–19, 2023, Revised Selected Papers (pp.349-363). Springer [10.1007/978-3-031-71397-2_22].2025 Driving Behaviors in Cognitive Agents: Preliminary Results of an Experimental Approach Bani, M., Bianco, S., Celona, L., Napoletano, P., Russo, S., Sarné, G., et al. (2025). Driving Behaviors in Cognitive Agents: Preliminary Results of an Experimental Approach. In WOA 2025 26th Workshop "From Objects to Agents" (pp.35-54). CEUR-WS.2025 An IoE-based Framework Supporting Human-Centric Industry Arazzi, M., Belli, A., Cusano, C., Esposito, M., Facchinetti, T., Ferretti, M., et al. (2025). An IoE-based Framework Supporting Human-Centric Industry. In 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA). Institute of Electrical and Electronics Engineers Inc. [10.1109/ETFA65518.2025.11205771].2025 A Lightweight CNN-Based Solution for Inertial Gesture Recognition on Tiny Edge Devices Esposito, M., Raggiunto, S., Napoletano, P., Belli, A., Sciarroni, M., Storti, E., et al. (2025). A Lightweight CNN-Based Solution for Inertial Gesture Recognition on Tiny Edge Devices. In 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA). Institute of Electrical and Electronics Engineers Inc. [10.1109/ETFA65518.2025.11205794].2024 Multimodal Fusion Methods with Vision Transformers for Remote Sensing Semantic Segmentation Morelli, V., Barbato, M., Piccoli, F., Napoletano, P. (2024). Multimodal Fusion Methods with Vision Transformers for Remote Sensing Semantic Segmentation. In 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE Computer Society [10.1109/WHISPERS61460.2023.10430788].2024 On the Use of Personalized Models for Blood Glucose Concentration Prediction Puccinelli, N., Piccoli, F., Napoletano, P. (2024). On the Use of Personalized Models for Blood Glucose Concentration Prediction. In IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin (pp.100-105). IEEE Computer Society [10.1109/ICCE-Berlin58801.2023.10375621].2024 A General Purpose Method for Image Collection Summarization and Exploration Leonardi, M., Napoletano, P., Rozza, A., Schettini, R. (2024). A General Purpose Method for Image Collection Summarization and Exploration. In Image Analysis and Processing - ICIAP 2023 Workshops
Udine, Italy, September 11–15, 2023, Proceedings, Part I (pp.74-85). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-51023-6_7].2024 Responsive Teleoperation of a Robotic Arm via Wearable Inertial Sensors Fornaro, A., D'Auria, D., Amrani, H., Napoletano, P. (2024). Responsive Teleoperation of a Robotic Arm via Wearable Inertial Sensors. In 2024 IEEE Gaming, Entertainment, and Media Conference, GEM 2024 (pp.263-268). Institute of Electrical and Electronics Engineers Inc. [10.1109/GEM61861.2024.10585650].2024 NTIRE 2024 Quality Assessment of AI-Generated Content Challenge Liu, X., Min, X., Zhai, G., Li, C., Kou, T., Sun, W., et al. (2024). NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024 (pp.6337-6362). IEEE Computer Society [10.1109/CVPRW63382.2024.00637].2024 Arm Gesture Recognition with Smartwatches Colombo, A., Celona, L., Bianco, S., Nocera, A., Napoletano, P. (2024). Arm Gesture Recognition with Smartwatches. In 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI) (pp.625-629). Institute of Electrical and Electronics Engineers Inc. [10.1109/rtsi61910.2024.10761613].2024 Multivariate Forecasting of Multiple Pollutants with Representative Deep Learning Architectures Bianco, S., Celona, L., Lanzillotti, M., Napoletano, P. (2024). Multivariate Forecasting of Multiple Pollutants with Representative Deep Learning Architectures. In 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI) (pp.630-635). Institute of Electrical and Electronics Engineers Inc. [10.1109/rtsi61910.2024.10761197].2024 Improving Detection of Type-1 Diabetes Adverse Events Using GRU Networks Rigamonti, G., Barbato, M., Marelli, D., Napoletano, P. (2024). Improving Detection of Type-1 Diabetes Adverse Events Using GRU Networks. In 8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024 - Proceeding (pp.79-84). Institute of Electrical and Electronics Engineers Inc. [10.1109/RTSI61910.2024.10761795].2024 Lightweight Graph Neural Network for Dementia Assessment from EEG Recordings Barbera, T., Zini, S., Bianco, S., Napoletano, P. (2024). Lightweight Graph Neural Network for Dementia Assessment from EEG Recordings. In 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI) (pp.190-195). Institute of Electrical and Electronics Engineers Inc. [10.1109/rtsi61910.2024.10761763].2024 EEG Acquisition and Motor Imagery Classification for Robotic Control Amrani, H., Micucci, D., Nalin, M., Napoletano, P., Rizzi, I. (2024). EEG Acquisition and Motor Imagery Classification for Robotic Control. In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp.1-4). Institute of Electrical and Electronics Engineers Inc. [10.1109/EMBC53108.2024.10782723].2023 A Platform for Multi-Modal Driver Behaviour Data Collection Bianco, S., Celona, L., Gallo, G., Napoletano, P. (2023). A Platform for Multi-Modal Driver Behaviour Data Collection. In IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin (pp.112-116). IEEE Computer Society [10.1109/ICCE-Berlin58801.2023.10375673].2023 Food Recognition with Visual Transformers Bianco, S., Buzzelli, M., Chiriaco, G., Napoletano, P., Piccoli, F. (2023). Food Recognition with Visual Transformers. In 2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) (pp.82-87). IEEE [10.1109/ICCE-Berlin58801.2023.10375660].2023 Emotion Personalization with Machine Learning using EEG Signals and Dry Electrodes Amrani, H., Micucci, D., Nalin, M., Napoletano, P. (2023). Emotion Personalization with Machine Learning using EEG Signals and Dry Electrodes. In Proceedings of the IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2023 (pp.132-137). Institute of Electrical and Electronics Engineers Inc. [10.1109/metroxraine58569.2023.10405681].2023 Streamlining Data Collection: A Platform Supporting the Design of Acquisition Protocols of Brain Signals Amrani, H., Alexandru Andrei, N., Micucci, D., Napoletano, P. (2023). Streamlining Data Collection: A Platform Supporting the Design of Acquisition Protocols of Brain Signals. Intervento presentato a: Italian Conference on ICT for Smart Cities & Communities (I-CiTies 2023), Salerno, Italia.2022 ArabCeleb: Speaker Recognition in Arabic Bianco, S., Celona, L., Khalifa, I., Napoletano, P., Petrovsky, A., Piccoli, F., et al. (2022). ArabCeleb: Speaker Recognition in Arabic. In AIxIA 2021 – Advances in Artificial Intelligence - 20th International Conference of the Italian Association for Artificial Intelligence, Virtual Event, December 1–3, 2021, Revised Selected Papers (pp.338-347). Cham : Springer International [10.1007/978-3-031-08421-8_23].2022 Unsupervised Deep Learning-based clustering for Human Activity Recognition Amrani, H., Micucci, D., Napoletano, P. (2022). Unsupervised Deep Learning-based clustering for Human Activity Recognition. In IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin (pp.1-6). IEEE Computer Society [10.1109/ICCE-Berlin56473.2022.9937141].2022 Image Captioning using Pretrained Language Models and Image Segmentation Bianco, S., Ferrario, G., Napoletano, P. (2022). Image Captioning using Pretrained Language Models and Image Segmentation. In IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin (pp.1-6). IEEE Computer Society [10.1109/ICCE-Berlin56473.2022.9937098].2022 Static, Dynamic and Acceleration Features for CNN-Based Speech Emotion Recognition Khalifa, I., Ejbali, R., Napoletano, P., Schettini, R., Zaied, M. (2022). Static, Dynamic and Acceleration Features for CNN-Based Speech Emotion Recognition. In AIxIA 2021 – Advances in Artificial Intelligence
20th International Conference of the Italian Association for Artificial Intelligence, Virtual Event, December 1–3, 2021, Revised Selected Papers (pp.348-358). Springer [10.1007/978-3-031-08421-8_24].2022 A health telemonitoring platform based on data integration from different sources Ciocca, G., Napoletano, P., Romanato, M., Schettini, R. (2022). A health telemonitoring platform based on data integration from different sources. In IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin (pp.1-6) [10.1109/ICCE-Berlin56473.2022.9937137].2021 Personalized Models in Human Activity Recognition Using Deep Learning Amrani, H., Micucci, D., Napoletano, P. (2021). Personalized Models in Human Activity Recognition Using Deep Learning. In Proceedings of the International Conference on Pattern Recognition (ICPR) (pp.9682-9688). IEEE [10.1109/ICPR48806.2021.9412140].2021 Multi-task Learning for Supervised and Unsupervised Classification of Grocery Images Ciocca, G., Napoletano, P., Locatelli, S. (2021). Multi-task Learning for Supervised and Unsupervised Classification of Grocery Images. In Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10–15, 2021, Proceedings, Part II (pp.325-338). Springer International Publishing [10.1007/978-3-030-68790-8_26].2021 Iconic-Based Retrieval of Grocery Images via Siamese Neural Network Ciocca, G., Napoletano, P., Locatelli, S. (2021). Iconic-Based Retrieval of Grocery Images via Siamese Neural Network. In Pattern Recognition. ICPR International Workshops and Challenges (pp.269-281). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-68790-8_22].2021 Analyzing and Recognizing Food in Constrained and Unconstrained Environments Buzzelli, M., Ciocca, G., Napoletano, P., Schettini, R. (2021). Analyzing and Recognizing Food in Constrained and Unconstrained Environments. In AI & Food'21: Proceedings of the 3rd Workshop on AIxFood (pp.1-5). Association for Computing Machinery, Inc [10.1145/3475725.3483624].2021 Homogenization of Existing Inertial-Based Datasets to Support Human Activity Recognition Amrani, H., Micucci, D., Mobilio, M., Napoletano, P. (2021). Homogenization of Existing Inertial-Based Datasets to Support Human Activity Recognition. In NeurIPS Data-Centric AI Workshop (DCAI 2021).2020 Personalized Deep Learning in Human Activity Recognition from Inertial Signals: a Preliminary Study on its Effectiveness Ferrari, A., Micucci, D., Mobilio, M., Napoletano, P. (2020). Personalized Deep Learning in Human Activity Recognition from Inertial Signals: a Preliminary Study on its Effectiveness. In Proceedings of the Italian Workshop on Artificial Intelligence for an Ageing Society 2020 co-located with 19th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2020) (pp.25-30). CEUR-WS.2020 Personalization in Human Activity Recognition Ferrari, A., Micucci, D., Mobilio, M., Napoletano, P. (2020). Personalization in Human Activity Recognition. In 6th Italian Conference on ICT for Smart Cities & Communities (I-CiTies 2020).2020 AESA Adaptive Beamforming Using Deep Learning Bianco, S., Napoletano, P., Raimondi, A., Feo, M., Petraglia, G., Vinetti, P. (2020). AESA Adaptive Beamforming Using Deep Learning. In 2020 IEEE Radar Conference, RadarConf 2020 (pp.1-6). 345 E 47TH ST, NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.1109/RadarConf2043947.2020.9266516].2019 Evaluation of automatic image color theme extraction methods Ciocca, G., Napoletano, P., Schettini, R. (2019). Evaluation of automatic image color theme extraction methods. In Computational Color Imaging : 7th International Workshop, CCIW 2019, Chiba, Japan, March 27-29, 2019, Proceedings (pp.165-179). Springer Verlag [10.1007/978-3-030-13940-7_13].2019 Image memorability using diverse visual features and soft attention Leonardi, M., Celona, L., Napoletano, P., Bianco, S., Schettini, R., Manessi, F., et al. (2019). Image memorability using diverse visual features and soft attention. In Image Analysis and Processing – ICIAP 2019. 20th International Conference, Trento, Italy, September 9–13, 2019, Proceedings, Part II (pp.171-180). Springer [10.1007/978-3-030-30645-8_16].2019 Autocropping: A closer look at benchmark datasets Celona, L., Ciocca, G., Napoletano, P., Schettini, R. (2019). Autocropping: A closer look at benchmark datasets. In Image Analysis and Processing – ICIAP 2019. 20th International Conference, Trento, Italy, September 9–13, 2019, Proceedings, Part II (pp.315-325). Springer Verlag [10.1007/978-3-030-30645-8_29].2019 Analyzing color harmony of food images Ciocca, G., Napoletano, P., Schettini, R., Gagliardi, I., Artese, M. (2019). Analyzing color harmony of food images. In 27th Color and Imaging Conference Final Program and Proceedings (pp.369-374). Society for Imaging Science and Technology [10.2352/issn.2169-2629.2019.27.66].2019 Hand-crafted Features vs Residual Networks for Human Activities Recognition using Accelerometer Ferrari, A., Micucci, D., Mobilio, M., Napoletano, P. (2019). Hand-crafted Features vs Residual Networks for Human Activities Recognition using Accelerometer. In Proceedings of the IEEE International Symposium on Consumer Technologies (ISCT) (pp.153-156). Institute of Electrical and Electronics Engineers Inc. [10.1109/ISCE.2019.8901021].2019 A Framework for Long-Term Data Collection to Support Automatic Human Activity Recognition Ferrari, A., Micucci, D., Mobilio, M., Napoletano, P. (2019). A Framework for Long-Term Data Collection to Support Automatic Human Activity Recognition. In Ambient Intelligence and Smart Environments. IOS Press [10.3233/AISE190067].2019 A Platform to Collect, Unify, and Distribute Inertial Labeled Signals for Human Activity Recognition Ferrari, A., Micucci, D., Mobilio, M., Napoletano, P. (2019). A Platform to Collect, Unify, and Distribute Inertial Labeled Signals for Human Activity Recognition. In 5th Italian Conference on ICT for Smart Cities & Communities (I-CiTies 2019).2019 On the homogenization of heterogeneous inertial-based databases for human activity recognition Ferrari, A., Micucci, D., Mobilio, M., Napoletano, P. (2019). On the homogenization of heterogeneous inertial-based databases for human activity recognition. In Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019 (pp.295-300). Institute of Electrical and Electronics Engineers Inc. [10.1109/SERVICES.2019.00084].2019 Multimodal car driver stress recognition Bianco, S., Napoletano, P., Schettini, R. (2019). Multimodal car driver stress recognition. In ACM International Conference Proceeding Series (pp.302-307). 1515 BROADWAY, NEW YORK, NY 10036-9998 USA : Association for Computing Machinery [10.1145/3329189.3329221].2019 A blockchain technology for protection and probative value preservation of vehicle driver data Morano, F., Ferretti, C., Leporati, A., Napoletano, P., Schettini, R. (2019). A blockchain technology for protection and probative value preservation of vehicle driver data. In 2019 IEEE 23rd International Symposium on Consumer Technologies, ISCT 2019 (pp.167-172). Institute of Electrical and Electronics Engineers Inc. [10.1109/ISCE.2019.8900982].2019 Human activities recognition using accelerometer and gyroscope Ferrari, A., Micucci, D., Mobilio, M., Napoletano, P. (2019). Human activities recognition using accelerometer and gyroscope. In Ambient Intelligence (pp.357-362). Springer [10.1007/978-3-030-34255-5_28].2018 Visual-based sentiment logging in magic smart mirrors Bianco, S., Celona, L., Napoletano, P. (2018). Visual-based sentiment logging in magic smart mirrors. In 2018 IEEE 8th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) (pp.1-4). IEEE Computer Society [10.1109/ICCE-Berlin.2018.8576217].2018 Automated Pruning for Deep Neural Network Compression Manessi, F., Rozza, A., Bianco, S., Napoletano, P., Schettini, R. (2018). Automated Pruning for Deep Neural Network Compression. In Proceedings - International Conference on Pattern Recognition (pp.657-664). Institute of Electrical and Electronics Engineers Inc. [10.1109/ICPR.2018.8546129].2018 Combining heart and breathing rate for car driver stress recognition Napoletano, P., Rossi, S. (2018). Combining heart and breathing rate for car driver stress recognition. In IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin (pp.1-5). IEEE Computer Society [10.1109/ICCE-Berlin.2018.8576164].2018 IVLFood-WS: Recognizing food in the wild using Deep Learning Ciocca, G., Napoletano, P., Schettini, R. (2018). IVLFood-WS: Recognizing food in the wild using Deep Learning. In 2018 IEEE 8th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) (pp.1-6). IEEE Computer Society [10.1109/ICCE-Berlin.2018.8576207].2018 Discriminative deep audio feature embedding for speaker recognition in the wild Bianco, S., Cereda, E., Napoletano, P. (2018). Discriminative deep audio feature embedding for speaker recognition in the wild. In 2018 IEEE 8th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) (pp.1-5). IEEE Computer Society [10.1109/ICCE-Berlin.2018.8576237].2018 Activity monitoring from RGB input for indoor action recognition systems Ciocca, G., Elmi, A., Napoletano, P., Schettini, R. (2018). Activity monitoring from RGB input for indoor action recognition systems. In 2018 IEEE 8th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) (pp.1-4). IEEE Computer Society [10.1109/ICCE-Berlin.2018.8576233].2018 Recognition of driver distractions using deep learning Valeriano, L., Napoletano, P., Schettini, R. (2018). Recognition of driver distractions using deep learning. In IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin (pp.1-6). IEEE Computer Society [10.1109/ICCE-Berlin.2018.8576183].2017 Learning CNN-based Features for Retrieval of Food Images Ciocca, G., Napoletano, P., Schettini, R. (2017). Learning CNN-based Features for Retrieval of Food Images. In New Trends in Image Analysis and Processing – ICIAP 2017 (pp.426-434). Springer Verlag [10.1007/978-3-319-70742-6_41].2017 Hand-crafted vs learned descriptors for color texture classification Napoletano, P. (2017). Hand-crafted vs learned descriptors for color texture classification. In Computational Color Imaging. 6th International Workshop, CCIW 2017, Milan, Italy, March 29-31, 2017, Proceedings (pp.259-271). Springer Verlag [10.1007/978-3-319-56010-6_22].2017 Improved opponent colour local binary patterns for colour texture classification Bianconi, F., Bello Cerezo, R., Napoletano, P., Di Maria, F. (2017). Improved opponent colour local binary patterns for colour texture classification. In Computational Color Imaging (pp.272-281). Springer Verlag [10.1007/978-3-319-56010-6_23].2017 On the importance of domain adaptation in texture classification Caputo, B., Cusano, C., Lanzi, M., Napoletano, P., Schettini, R. (2017). On the importance of domain adaptation in texture classification. In Image Analysis and Processing - ICIAP 2017 (pp.380-390). Springer Verlag [10.1007/978-3-319-68560-1_34].2016 Predicting image aesthetics with deep learning Bianco, S., Celona, L., Napoletano, P., Schettini, R. (2016). Predicting image aesthetics with deep learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp.117-125). Springer Verlag [10.1007/978-3-319-48680-2_11].2015 Local angular patterns for color texture classification Cusano, C., Napoletano, P., Schettini, R. (2015). Local angular patterns for color texture classification. In New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops (pp.111-118). Springer Verlag [10.1007/978-3-319-23222-5_14].2015 Food recognition and leftover estimation for daily diet monitoring Ciocca, G., Napoletano, P., Schettini, R. (2015). Food recognition and leftover estimation for daily diet monitoring. In New Trends in Image Analysis and Processing - ICIAP 2015 Workshops. ICIAP 2015 International Workshops BioFor, CTMR, RHEUMA, ISCA, MADiMa SBMI, and QoEM (pp.334-341). Springer Verlag [10.1007/978-3-319-23222-5_41].2014 An attentive multi-camera system Napoletano, P., Tisato, F. (2014). An attentive multi-camera system. In Image Processing: Machine Vision Applications VII. SPIE [10.1117/12.2042652].2014 On the Use of MKL for Cooking Action Recognition Bianco, S., Ciocca, G., Napoletano, P. (2014). On the Use of MKL for Cooking Action Recognition. In Image Processing: Machine Vision Applications VII. SPIE [10.1117/12.2041939].2014 Query expansion through weighted word Pairs Colace, F., De Santo, M., Greco, L., Napoletano, P. (2014). Query expansion through weighted word Pairs. In 22nd Italian Symposium on Advanced Database Systems, SEBD 2014 (pp.399-406). Universita Reggio Calabria and Centro di Competenza (ICT-SUD).2013 Cooking Action Recognition with iVAT: An Interactive Video Annotation Tool Bianco, S., Ciocca, G., Napoletano, P., Schettini, R., Margherita, R., Marini, G., et al. (2013). Cooking Action Recognition with iVAT: An Interactive Video Annotation Tool. In Image Analysis and Processing – ICIAP 2013 (pp.631-641). Springer [10.1007/978-3-642-41184-7_64].2013 A semi-automatic annotation tool for cooking video Bianco, S., Ciocca, G., Napoletano, P., Schettini, R., Margherita, R., Marini, G., et al. (2013). A semi-automatic annotation tool for cooking video. In Image Processing: Machine Vision Applications VI; Burlingame, CA; United States; 5-6 February 2013. SPIE-INT SOC OPTICAL ENGINEERING [10.1117/12.2003878].2013 On the robustness of color texture descriptors across illuminants Bianco, S., Cusano, C., Napoletano, P., Schettini, R. (2013). On the robustness of color texture descriptors across illuminants. In Progress in Image Analysis and Processing, ICIAP 2013 (pp.652-662). Springer [10.1007/978-3-642-41184-7_66].2013 Intensity and color descriptors for texture classification Cusano, C., Napoletano, P., Schettini, R. (2013). Intensity and color descriptors for texture classification. In Proceedings of SPIE - The International Society for Optical Engineering [10.1117/12.2006070].2013 Illuminant invariant descriptors for color texture classification Cusano, C., Napoletano, P., Schettini, R. (2013). Illuminant invariant descriptors for color texture classification. In 4th Computational Color Imaging Workshop, CCIW 2013 (pp.239-249). Springer [10.1007/978-3-642-36700-7_19].2013 A Query Expansion Method based on a Weighted Word Pairs Approach Colace, F., De Santo, M., Greco, L., Napoletano, P. (2013). A Query Expansion Method based on a Weighted Word Pairs Approach. In Proceedings of the 4th Italian Information Retrieval Workshop (pp.17-28). CEUR-WS.2011 An adaptive optimisation method for automatic lightweight ontology extraction Clarizia, F., Greco, L., Napoletano, P. (2011). An adaptive optimisation method for automatic lightweight ontology extraction. In ENTERPRISE INFORMATION SYSTEMS (pp.357-371). Springer Verlag [10.1007/978-3-642-19802-1_25].
2019 Multimodal car driver monitoring Schettini, R., Bianco, S., Celona, L., Napoletano, P. (2019). Multimodal car driver monitoring. In D. Cerini, A. Pisani Tedesco (a cura di), Smart mobility, smart cars e intelligenza artificiale: responsabilità e prospettive. Torino : Giappichelli.2013 Informal lightweight knowledge extraction from documents Colace, F., De Santo, M., Napoletano, P. (2013). Informal lightweight knowledge extraction from documents. In Recent Progress in Data Engineering and Internet Technology (pp. 181-186). Springer Verlag [10.1007/978-3-642-28807-4_25].2013 Learning to Classify Text Using a Few Labeled Examples Colace, F., De Santo, M., Greco, L., Napoletano, P. (2013). Learning to Classify Text Using a Few Labeled Examples. In Communications in Computer and Information Science (pp. 200-214). Springer Verlag [10.1007/978-3-642-37186-8_13].2013 Improving Text Retrieval Accuracy by Using a Minimal Relevance Feedback Colace, F., de Santo, M., Greco, L., Napoletano, P. (2013). Improving Text Retrieval Accuracy by Using a Minimal Relevance Feedback. In Communications in Computer and Information Science (pp. 126-140). Springer [10.1007/978-3-642-37186-8_8].