| 2024 | DIS | Multimodal Heterogeneous Transfer Learning for Multilingual Image-Text Classification. | Andrea Pedrotti, Alejandro Moreo, Fabrizio Sebastiani |
| 2024 | DIS | A Simple Method for Classifier Accuracy Prediction Under Prior Probability Shift. | Lorenzo Volpi, Alejandro Moreo, Fabrizio Sebastiani |
| 2022 | ECIR | LeQua@CLEF2022: Learning to Quantify. | Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani |
| 2022 | NLDB | Investigating Topic-Agnostic Features for Authorship Tasks in Spanish Political Speeches. | Silvia Corbara, Berta Chulvi Ferriols, Paolo Rosso, Alejandro Moreo |
| 2021 | CIKM | Learning to Quantify: Methods and Applications (LQ 2021). | Juan Jos del Coz, Pablo Gonzlez, Alejandro Moreo, Fabrizio Sebastiani |
| 2021 | CIKM | LeQua @ CLEF 2022: A Shared Task for Evaluating Quantification Systems. | Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani |
| 2021 | CIKM | QuaPy: A Python-Based Framework for Quantification. | Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani |
| 2021 | CIKM | QuaPy: A Publicly Available Python-Based Software Library for Quantification. | Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani |
| 2021 | ECIR | Re-assessing the "Classify and Count" Quantification Method. | Alejandro Moreo, Fabrizio Sebastiani |
| 2021 | SIGGRAPH | NoR-VDPNet++: Efficient Training and Architecture for Deep No-Reference Image Quality Metrics. | Francesco Banterle, Alessandro Artusi, Alejandro Moreo, Fabio Carrara |
| 2021 | SAC | Heterogeneous document embeddings for cross-lingual text classification. | Alejandro Moreo, Andrea Pedrotti, Fabrizio Sebastiani |
| 2020 | ICIP | Nor-Vdpnet: A No-Reference High Dynamic Range Quality Metric Trained On Hdr-Vdp 2. | Francesco Banterle, Alessandro Artusi, Alejandro Moreo, Fabio Carrara |
| 2019 | FQAS | Tutorial: Supervised Learning for Prevalence Estimation. | Alejandro Moreo, Fabrizio Sebastiani |
| 2019 | ICIAP | The Epistle to Cangrande Through the Lens of Computational Authorship Verification. | Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani, Mirko Tavoni |
| 2019 | SIGIR | Learning to Quantify: Estimating Class Prevalence via Supervised Learning. | Alejandro Moreo, Fabrizio Sebastiani |
| 2016 | SIGIR | Distributional Random Oversampling for Imbalanced Text Classification. | Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani |
| 2012 | IPMU | Handling Context in Lexicon-Based Sentiment Analysis. | Alejandro Moreo, Juan Luis Castro, Jose Manuel Zurita |