CHECCO, Alessandro

CHECCO, Alessandro  

DIPARTIMENTO DI INFORMATICA  

Mostra prodotti
Risultati 1 - 20 di 38 (tempo di esecuzione: 0.025 secondi).
Titolo Data di pubblicazione Autore(i) File
A OpenThread WSN Prototype for the Monitoring of Crops 2023 Fabiani, V.; Palmisano, M.; Checco, A.; Polese, D.
Addressing labour exploitation in the data science pipeline: views of precarious US-based crowdworkers on adversarial and co-operative interventions 2023 Bates, J.; Gerakopoulou, E.; Checco, A.
Adversarial Attacks on Crowdsourcing Quality Control 2020 Checco, A; Bates, J; Demartini, G
Aggregation Techniques in Crowdsourcing: Multiple Choice Questions and beyond 2021 Difallah, D.; Checco, A.
AI-assisted peer review 2021 Checco, A; Bracciale, L; Loreti, P; Pinfield, S; Bianchi, G
All Those Wasted Hours 2019 Han, Lei; Roitero, Kevin; Gadiraju, Ujwal; Sarasua, Cristina; Checco, Alessandro; Maddalena, Eddy; Demartini, Gianluca
Analysis of Dynamic Channel Bonding in Dense Networks of WLANs 2017 Faridi, A.; Bellalta, B.; Checco, A.
BLC: Private matrix factorization recommenders via automatic group learning 2017 Checco, A.; Bianchi, G.; Leith, D. J.
Criteria of quality in fiction-based research to promote debate about the use of AI and robots in Higher Education 2023 Cox, A.; Cameron, D.; Checco, A.; Herrick, T.; Mawson, M.; Steadman-Jones, R.
Crowd Worker Strategies in Relevance Judgment Tasks 2020 Han, Lei; Maddalena, Eddy; Checco, Alessandro; Sarasua, Cristina; Gadiraju, Ujwal; Roitero, Kevin; Demartini, Gianluca
CrowdCO-OP: Sharing Risks and Rewards in Crowdsourcing 2020 Fan, S; Gadiraju, U; Checco, A; Demartini, G
CrowdCO-OP: Sharing Risks and Rewards in Crowdsourcing 2020 Fan, S.; Gadiraju, U.; Checco, A.; Demartini, G.
Deadline-Aware Fair Scheduling for Multi-Tenant Crowd-Powered Systems 2019 Difallah, D; Checco, A; Demartini, G; Cudré-Mauroux, P
Fair virtualization of 802.11 networks 2015 Checco, A.; Leith, D. J.
Fast, Responsive Decentralized Graph Coloring 2017 Checco, A.; Leith, D. J.
Integrating FATE/critical data studies into data science curricula: where are we going and how do we get there? 2020 Bates, Jo; Cameron, David; Checco, Alessandro; Clough, Paul; Hopfgartner, Frank; Mazumdar, Suvodeep; Sbaffi, Laura; Stordy, Peter; de la Vega de León, Antonio
Internet of Trees: A Vision for Advanced Monitoring of Crops 2020 Checco, A; Polese, D
Internet of trees: A vision for advanced monitoring of crops 2020 Checco, A.; Polese, D.
Learning-based constraint satisfaction with sensing restrictions 2013 Checco, A.; Leith, D. J.
Modelling User Behavior Dynamics with Embeddings 2020 Han, L; Checco, A; Difallah, D; Demartini, G; Sadiq, S