Towards Open-Source Shared Implementations of Keyword-Based Access Systems to Relational Data. - Alex Badan; Luca Benvegnù; Matteo Biasetton; Giovanni Bonato; Alessandro Brighente; Alberto Cenzato; Piergiorgio Ceron; Giovanni Cogato; Stefano Marchesin 001; Alberto Minetto; Leonardo Pellegrina; Alberto Purpura; et al. (EDBT/ICDT Workshops, 2017)

Keyword-based access to relational data: To reproduce, or to not reproduce? - Alex Badan; Luca Benvegnù; Matteo Biasetton; Giovanni Bonato; Alessandro Brighente; Stefano Marchesin 001; Alberto Minetto; Leonardo Pellegrina; Alberto Purpura; Riccardo Simionato; Matteo Tessarotto; Andrea Tonon; et al. (SEBD, 2017)

Non-negative Matrix Factorization for Topic Modeling. - Alberto Purpura (DESIRES, 2018)

WS4ABSA: An NMF-Based Weakly-Supervised Approach for Aspect-Based Sentiment Analysis with Application to Online Reviews. - Alberto Purpura; Chiara Masiero; Gian Antonio Susto (DS, 2018)

Statistical Stemmers: A Reproducibility Study. - Gianmaria Silvello; Riccardo Bucco; Giulio Busato; Giacomo Fornari; Andrea Langeli; Alberto Purpura; Giacomo Rocco; Alessandro Tezza; Maristella Agosti (ECIR, 2018)

Probabilistic Word Embeddings in Neural IR: A Promising Model That Does Not Work as Expected (For Now). - Alberto Purpura; Marco Maggipinto; Gianmaria Silvello; Gian Antonio Susto (ICTIR, 2019)

Feature Selection for Emotion Classification. - Alberto Purpura; Chiara Masiero; Gianmaria Silvello; Gian Antonio Susto (IIR, 2019)

A Docker-Based Replicability Study of a Neural Information Retrieval Model. - Nicola Ferro 001; Stefano Marchesin 001; Alberto Purpura; Gianmaria Silvello (OSIRRC@SIGIR, 2019)

Supervised Lexicon Extraction for Emotion Classification. - Alberto Purpura; Chiara Masiero; Gianmaria Silvello; Gian Antonio Susto (WWW (Companion Volume), 2019)

A Semi-Automated Approach for Information Extraction, Classification and Analysis of Unstructured Data. - Alberto Purpura; Marco Calaresu (CoRR, 2019)

Reproducibility of the Neural Vector Space Model via Docker. - Nicola Ferro 001; Stefano Marchesin 001; Alberto Purpura; Gianmaria Silvello (IRCDL, 2020)

Gender stereotype reinforcement: Measuring the gender bias conveyed by ranking algorithms. - Alessandro Fabris; Alberto Purpura; Gianmaria Silvello; Gian Antonio Susto (Inf. Process. Manag., 2020)

Focal elements of neural information retrieval models. An outlook through a reproducibility study. - Stefano Marchesin 001; Alberto Purpura; Gianmaria Silvello (Inf. Process. Manag., 2020)

A Bayesian Neural Model for Documents' Relevance Estimation. - Alberto Purpura; Gian Antonio Susto (DESIRES, 2021)

Neural Feature Selection for Learning to Rank. - Alberto Purpura; Karolina Buchner; Gianmaria Silvello; Gian Antonio Susto (ECIR (2), 2021)

Measuring Gender Stereotype Reinforcement in Information Retrieval Systems. - Alessandro Fabris; Alberto Purpura; Gianmaria Silvello; Gian Antonio Susto (IIR, 2021)

Accelerating the Discovery of Semantic Associations from Medical Literature: Mining Relations Between Diseases and Symptoms. - Alberto Purpura; Francesca Bonin; Joao H. Bettencourt-Silva (EMNLP (Industry Track), 2022)

Identifying Faked Responses in Questionnaires with Self-Attention-Based Autoencoders. - Alberto Purpura; Giuseppe Sartori; Dora Giorgianni; Graziella Orrù; Gian Antonio Susto (Informatics, 2022)

Learning to rank from relevance judgments distributions. - Alberto Purpura; Gianmaria Silvello; Gian Antonio Susto (J. Assoc. Inf. Sci. Technol., 2022)

Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction. - Gabriele Picco; Marcos Martínez Galindo; Alberto Purpura; Leopold Fuchs; Vanessa López; Thanh Lam Hoang (ACL (demo), 2023)

Automated Feature Selection from Medical Literature. - Alberto Purpura; Tobia Boschi; Francesca Bonin; Rodrigo Ordonez-Hurtado; Natasha Mulligan; Joao H. Bettencourt-Silva; Alessandra Pascale (MedInfo, 2023)

Description Boosting for Zero-Shot Entity and Relation Classification. - Gabriele Picco; Leopold Fuchs; Marcos Martínez Galindo; Alberto Purpura; Vanessa López; Hoang Thanh Lam (ACL (Findings), 2024)

Building Safe GenAI Applications: An End-to-End Overview of Red Teaming for Large Language Models. - Alberto Purpura; Sahil Wadhwa; Jesse Zymet; Akshay Gupta; Andy Luo; Melissa Kazemi Rad; Swapnil Shinde; Mohammad Sorower (CoRR, 2025)