Deep learning models for electrocardiograms are susceptible to adversarial attack von Han, Xintian, Hu, Yuxuan, Foschini, Luca, Chinitz, Larry, Jankelson, Lior, Ranganath, Rajesh

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Algorithmic Aspects of Cloud Computing: 7th International Symposium, ALGOCLOUD 2022, Potsdam, Germany, September 6, 2022, Revised Selected Papers von Foschini, Luca, Kontogiannis, Spyros

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Space Occupancy through BLE Dynamic Broadcasting von Borić, Miran, Fernández Vilas, Ana, Díaz Redondo, Rebeca P.

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Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency von Cutillo, Christine M., Sharma, Karlie R., Foschini, Luca, Kundu, Shinjini, Mackintosh, Maxine, Mandl, Kenneth D.

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Quantitative Comparison of the Efficiency and Scalability of the Current and Future LTE Network Architectures von Pras, Aiko, Schmidt, Ricardo de O., van den Berg, Hans, Karimzadeh, Morteza

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Polygon Simplification for the Efficient Approximate Analytics of Georeferenced Big Data von Al Jawarneh, Isam Mashhour, Foschini, Luca, Bellavista, Paolo

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A Digital Twin Decision Support System for the Urban Facility Management Process von Bujari, Armir, Calvio, Alessandro, Foschini, Luca, Sabbioni, Andrea, Corradi, Antonio

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Balanced Partitions of Trees and Applications von Feldmann, Andreas Emil, Foschini, Luca

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Interoperable Blockchains for Highly-Integrated Supply Chains in Collaborative Manufacturing von Bellavista, Paolo, Esposito, Christian, Foschini, Luca, Giannelli, Carlo, Mazzocca, Nicola, Montanari, Rebecca

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Game Theory in Mobile CrowdSensing:A Comprehensive Survey von Dasari, Venkat Surya, Kantarci, Burak, Pouryazdan, Maryam, Foschini, Luca, Girolami, Michele

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Quantifying User Reputation Scores, Data Trustworthiness, and User Incentives in Mobile Crowd-Sensing von Pouryazdan, Maryam, Kantarci, Burak, Soyata, Tolga, Foschini, Luca, Houbing Song

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Adherent Use of Digital Health Trackers Is Associated with Weight Loss von Pourzanjani, Arya, Quisel, Tom, Foschini, Luca

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How Mobility and Sociality Reshape the Context: A Decade of Experience in Mobile CrowdSensing von Girolami, Michele, Belli, Dimitri, Chessa, Stefano, Foschini, Luca

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Differentiated Service/Data Migration for Edge Services Leveraging Container Characteristics von Bellavista, Paolo, Corradi, Antonio, Foschini, Luca, Scotece, Domenico

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Edge-enabled Mobile Crowdsensing to Support Effective Rewarding for Data Collection in Pandemic Events von Foschini, Luca, Martuscelli, Giuseppe, Montanari, Rebecca, Solimando, Michele

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QoS-Aware Approximate Query Processing for Smart Cities Spatial Data Streams von Al Jawarneh, Isam Mashhour, Bellavista, Paolo, Corradi, Antonio, Foschini, Luca, Montanari, Rebecca

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Scalable and Cost-Effective Assignment of Mobile Crowdsensing Tasks Based on Profiling Trends and Prediction: The ParticipAct Living Lab Experience von Bellavista, Paolo, Corradi, Antonio, Foschini, Luca, Ianniello, Raffaele

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Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data von Shapiro, Allison, Marinsek, Nicole, Clay, Ieuan, Bradshaw, Benjamin, Ramirez, Ernesto, Min, Jae, Trister, Andrew, Wang, Yuedong, Althoff, Tim, Foschini, Luca

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Cooperative Vehicular Traffic Monitoring in Realistic Low Penetration Scenarios: The COLOMBO Experience von Bellavista, Paolo, Caselli, Federico, Corradi, Antonio, Foschini, Luca

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Efficient Integration of Heterogeneous Mobility-Pollution Big Data for Joint Analytics at Scale with QoS Guarantees von Al Jawarneh, Isam Mashhour, Foschini, Luca, Bellavista, Paolo

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