Sihang Qiu, Ujwal Gadiraju, Alessandro Bozzon (2020), Improving Worker Engagement Through Conversational Microtask Crowdsourcing, CHI'20 pp. 1-12 Association for Computing Machinery (ACM).

Jan-Gerrit Harms, Pavel Kucherbaev, Alessandro Bozzon, Geert-Jan Houben (2019), Approaches for Dialog Management in Conversational Agents, In IEEE Internet Computing volume 23 pp. 13-22.

Roos de Kok, Andrea Mauri, Alessandro Bozzon (2019), Automatic Processing of User-Generated Content for the Description of Energy-Consuming Activities at Individual and Group Level, In Energies volume 12 pp. 1-28.

Panagiotis Mavridis, Owen Huang, Sihang Qiu, Ujwal Gadiraju, Alessandro Bozzon (2019), Chatterbox: Conversational Interfaces for Microtask Crowdsourcing, UMAP'19 pp. 243-251 Association for Computing Machinery (ACM).

Daniel Vliegenthart, Sepideh Mesbah, Christoph Lofi, Akiko Aizawa, Alessandro Bozzon (2019), Coner: A Collaborative Approach for Long-Tail Named Entity Recognition in Scientific Publications, In Antoine Doucet, Antoine Isaac, Koraljka Golub, Trond Aalberg, Adam Jatowt (Eds.) Digital Libraries for Open Knowledge pp. 3-17 Springer.

Sihang Qiu, Achilleas Psyllidis, Alessandro Bozzon, Geert-Jan Houben (2019), Crowd-Mapping Urban Objects from Street-Level Imagery, Proceedings of the 2019 World Wide Web Conference pp. 1521-1531 Association for Computing Machinery (ACM).

Agathe Balayn, Alessandro Bozzon (2019), Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity.

Vincent X. Gong, Winnie Daamen, Alessandro Bozzon, Serge P. Hoogendoorn (2019), Estimate Sentiment of Crowds from Social Media during City Events, In Transportation Research Record volume 2673 pp. 836-850.

Andrea Mauri, Alessandro Bozzon, Roos De Kok (2019), Mapping Energy Frames: an Innovative Approach Engaging with New Forms and Types of ‘data’ in Social Media Analysis to Frame Energy Demand, From efficiency to reduction. Tackling energy consumption in a cross disciplinary perspective InPlanning.

Shahin Sharifi Noorian, Achilleas Psyllidis, Alessandro Bozzon (2019), ST-Sem: A Multimodal Method for Points-of-Interest Classification Using Street-Level Imagery, In Maxim Bakaev, In-Young Ko, Flavius Frasincar (Eds.) Web Engineering - 19th International Conference, ICWE 2019, Proceedings pp. 32-46 Springer.