Context-Aware User and Service Profiling by Means of Generalized Association Rules. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Paolo Garza; Marco Marchetti (KES (2), 2009)

Generalized Association Rules to Support Context-aware User and Service Profiling. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Paolo Garza; Marco Marchetti (SEBD, 2009)

Support driven opportunistic aggregation for generalized itemset extraction. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Vincenzo D'Elia; Paolo Garza (IEEE Conf. of Intelligent Systems, 2010)

Semi-Automatic Ontology Construction by Exploiting Functional Dependencies and Association Rules. - Luca Cagliero; Tania Cerquitelli; Paolo Garza (Int. J. Semantic Web Inf. Syst., 2011)

CAS-Mine: providing personalized services in context-aware applications by means of generalized rules. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Paolo Garza; Marco Marchetti (Knowl. Inf. Syst., 2011)

Multi-document summarization exploiting frequent itemsets. - Elena Baralis; Luca Cagliero; Saima Jabeen; Alessandro Fiori (SAC, 2012)

Generalized association rule mining with constraints. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Paolo Garza (Inf. Sci., 2012)

Data mining by means of generalized patterns. - Luca Cagliero (2012)

Frequent weighted itemset mining from gene expression data. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Paolo Garza (BIBE, 2013)

Improving classification models with taxonomy information. - Luca Cagliero; Paolo Garza (Data Knowl. Eng., 2013)

Multi-document summarization based on the Yago ontology. - Elena Baralis; Luca Cagliero; Saima Jabeen; Alessandro Fiori; Sajid Shah (Expert Syst. Appl., 2013)

Discovering generalized association rules from Twitter. - Luca Cagliero; Alessandro Fiori (Intell. Data Anal., 2013)

GraphSum: Discovering correlations among multiple terms for graph-based summarization. - Elena Baralis; Luca Cagliero; Naeem Ahmed Mahoto; Alessandro Fiori (Inf. Sci., 2013)

Itemset generalization with cardinality-based constraints. - Luca Cagliero; Paolo Garza (Inf. Sci., 2013)

Personalized tag recommendation based on generalized rules. - Luca Cagliero; Alessandro Fiori; Luigi Grimaudo (ACM Trans. Intell. Syst. Technol., 2013)

EnBay: A Novel Pattern-Based Bayesian Classifier. - Elena Baralis; Luca Cagliero; Paolo Garza (IEEE Trans. Knowl. Data Eng., 2013)

Discovering Temporal Change Patterns in the Presence of Taxonomies. - Luca Cagliero (IEEE Trans. Knowl. Data Eng., 2013)

A Rule-Based Flickr Tag Recommendation System. - Luca Cagliero; Alessandro Fiori; Luigi Grimaudo (Social Media Retrieval, 2013)

TweCoM: Topic and Context Mining from Twitter. - Luca Cagliero; Alessandro Fiori (The Influence of Technology on Social Network Analysis and Mining, 2013)

Misleading Generalized Itemset Mining in the Cloud. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Paolo Garza; Luigi Grimaudo; Fabio Pulvirenti (ISPA, 2014)

MGI-Cloud: discovery of misleading generalized itemsets. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Luigi Grimaudo; Fabio Pulvirenti; Paolo Garza (SEBD, 2014)

NEMICO: Mining Network Data through Cloud-Based Data Mining Techniques. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Paolo Garza; Luigi Grimaudo; Fabio Pulvirenti (UCC, 2014)

Misleading Generalized Itemset discovery. - Luca Cagliero; Tania Cerquitelli; Paolo Garza; Luigi Grimaudo (Expert Syst. Appl., 2014)

Expressive generalized itemsets. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Vincenzo D'Elia; Paolo Garza (Inf. Sci., 2014)

Twitter data analysis by means of Strong Flipping Generalized Itemsets. - Luca Cagliero; Tania Cerquitelli; Paolo Garza; Luigi Grimaudo (J. Syst. Softw., 2014)

RIB: A Robust Itemset-based Bayesian approach to classification. - Elena Baralis; Luca Cagliero (Knowl. Based Syst., 2014)

Infrequent Weighted Itemset Mining Using Frequent Pattern Growth. - Luca Cagliero; Paolo Garza (IEEE Trans. Knowl. Data Eng., 2014)

PaWI: Parallel Weighted Itemset Mining by Means of MapReduce. - Elena Baralis; Luca Cagliero; Paolo Garza; Luigi Grimaudo (BigData Congress, 2015)

Generation and Evaluation of Summaries of Academic Teaching Materials. - Elena Baralis; Luca Cagliero; Laura Farinetti (COMPSAC, 2015)

Monitoring the citizens' perception on urban security in Smart City environments. - Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Pierangelo Garino; Marco Nardone; Barbara Pralio; Luca Venturini (ICDE Workshops, 2015)

Digging deep into weighted patient data through multiple-level patterns. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Paolo Garza (Inf. Sci., 2015)

Pattern set mining with schema-based constraint. - Luca Cagliero; Silvia Chiusano; Paolo Garza; Giulia Bruno (Knowl. Based Syst., 2015)

MeTA: Characterization of Medical Treatments at Different Abstraction Levels. - Dario Antonelli; Elena Baralis; Giulia Bruno; Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Paolo Garza; Naeem Ahmed Mahoto (ACM Trans. Intell. Syst. Technol., 2015)

MWI-Sum: A Multilingual Summarizer Based on Frequent Weighted Itemsets. - Elena Baralis; Luca Cagliero; Alessandro Fiori; Paolo Garza (ACM Trans. Inf. Syst., 2015)

Supporting stock trading in multiple foreign markets: a multilingual news summarization approach. - Elena Baralis; Luca Cagliero; Tania Cerquitelli (DSMM@SIGMOD, 2016)

Discovering air quality patterns in urban environments. - Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Paolo Garza; Giuseppe Ricupero (UbiComp Adjunct, 2016)

Modeling Correlations among Air Pollution-Related Data through Generalized Association Rules. - Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Paolo Garza; Giuseppe Ricupero; Xin Xiao 002 (SMARTCOMP, 2016)

Learning From Summaries: Supporting e-Learning Activities by Means of Document Summarization. - Elena Baralis; Luca Cagliero (IEEE Trans. Emerg. Top. Comput., 2016)

Discovering High-Utility Itemsets at Multiple Abstraction Levels. - Luca Cagliero; Silvia Chiusano; Paolo Garza; Giuseppe Ricupero (ADBIS (Short Papers and Workshops), 2017)

Summarization of emergency news articles driven by relevance feedback. - Luca Cagliero (IEEE BigData, 2017)

Experimental Validation of a Massive Educational Service in a Blended Learning Environment. - Elena Baralis; Luca Cagliero; Laura Farinetti; Marco Mezzalama; Enrico Venuto (COMPSAC (1), 2017)

Test-Driven Summarization: Combining Formative Assessment with Teaching Document Summarization. - Luca Cagliero; Laura Farinetti; Elena Baralis (COMPSAC (1), 2017)

Educational video services in universities: A systematic effectiveness analysis. - Luca Cagliero; Laura Farinetti; Marco Mezzalama; Enrico Venuto; Elena Baralis (FIE, 2017)

Identifying Collaborations among Researchers: a pattern-based approach. - Luca Cagliero; Paolo Garza; Mohammad Reza Kavoosifar; Elena Baralis (BIRNDL@SIGIR (1), 2017)

Predicting critical conditions in bicycle sharing systems. - Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Paolo Garza; Xin Xiao 002 (Computing, 2017)

Planning stock portfolios by means of weighted frequent itemsets. - Elena Baralis; Luca Cagliero; Paolo Garza (Expert Syst. Appl., 2017)

Discovering profitable stocks for intraday trading. - Elena Baralis; Luca Cagliero; Tania Cerquitelli; Paolo Garza; Fabio Pulvirenti (Inf. Sci., 2017)

Improving the Effectiveness of SQL Learning Practice: A Data-Driven Approach. - Luca Cagliero; Luigi De Russis; Laura Farinetti; Teodoro Montanaro (COMPSAC (1), 2018)

Study of the Applicability of an Itemset-Based Portfolio Planner in a Multi-Market Context. - Luca Cagliero; Paolo Garza (EDBT/ICDT Workshops, 2018)

Characterizing unpredictable patterns in Wireless Sensor Network data. - Luca Cagliero; Tania Cerquitelli; Silvia Chiusano; Paolo Garza; Antonio Attanasio (Inf. Sci., 2018)

Discovering cross-topic collaborations among researchers by exploiting weighted association rules. - Luca Cagliero; Paolo Garza; Mohammad Reza Kavoosifar; Elena Baralis (Scientometrics, 2018)

Highlighter: Automatic Highlighting of Electronic Learning Documents. - Elena Baralis; Luca Cagliero (IEEE Trans. Emerg. Top. Comput., 2018)

CarPredictor: Forecasting the Number of Free Floating Car Sharing Vehicles within Restricted Urban Areas. - Luca Cagliero; Silvia Chiusano; Elena Daraio; Paolo Garza (BigData Congress, 2019)

VISA: A Supervised Approach to Indexing Video Lectures with Semantic Annotations. - Luca Cagliero; Lorenzo Canale; Laura Farinetti (COMPSAC (1), 2019)

Heterogeneous Industrial Vehicle Usage Predictions: A Real Case. - Dena Markudova; Elena Baralis; Luca Cagliero; Marco Mellia; Luca Vassio; Elvio Gilberto Amparore; Riccardo Loti; Lucia Salvatori (EDBT/ICDT Workshops, 2019)

Combining News Sentiment and Technical Analysis to Predict Stock Trend Reversal. - Giuseppe Attanasio; Luca Cagliero; Paolo Garza; Elena Baralis (ICDM Workshops, 2019)

Poli2Sum@CL-SciSumm-19: Identify, Classify, and Summarize Cited Text Spans by means of Ensembles of Supervised Models. - Moreno La Quatra; Luca Cagliero; Elena Baralis (BIRNDL@SIGIR, 2019)

Quantitative cryptocurrency trading: exploring the use of machine learning techniques. - Giuseppe Attanasio; Luca Cagliero; Paolo Garza; Elena Baralis (DSMM@SIGMOD, 2019)

Recommending Personalized Summaries of Teaching Materials. - Luca Cagliero; Laura Farinetti; Elena Baralis (IEEE Access, 2019)

ELSA: A Multilingual Document Summarization Algorithm Based on Frequent Itemsets and Latent Semantic Analysis. - Luca Cagliero; Paolo Garza; Elena Baralis (ACM Trans. Inf. Syst., 2019)

DSLE: A Smart Platform for Designing Data Science Competitions. - Giuseppe Attanasio; Flavio Giobergia; Andrea Pasini; Francesco Ventura; Elena Baralis; Luca Cagliero; Paolo Garza; Daniele Apiletti; Tania Cerquitelli; Silvia Chiusano (COMPSAC, 2020)

UNIFORM: Automatic Alignment of Open Learning Datasets. - Luca Cagliero; Lorenzo Canale; Laura Farinetti (COMPSAC, 2020)

Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment. - Flavio Giobergia; Luca Cagliero; Paolo Garza; Elena Baralis (EDBT/ICDT Workshops, 2020)

Machine Learning Supported Next-Maintenance Prediction for Industrial Vehicles. - Sachit Mishra; Luca Vassio; Luca Cagliero; Marco Mellia; Elena Baralis; Riccardo Loti; Lucia Salvatori (EDBT/ICDT Workshops, 2020)

Exploring the Use of Data at Multiple Granularity Levels in Machine Learning-Based Stock Trading. - Jacopo Fior; Luca Cagliero (ICDM (Workshops), 2020)

An explainable data-driven approach to web directory taxonomy mapping. - Elena Daraio; Luca Cagliero; Silvia Chiusano; Paolo Garza; Giuseppe Ricupero (KES, 2020)

Leveraging the explainability of associative classifiers to support quantitative stock trading. - Giuseppe Attanasio; Luca Cagliero; Elena Baralis (DSMM@SIGMOD, 2020)

Price series cross-correlation analysis to enhance the diversification of itemset-based stock portfolios. - Jacopo Fior; Luca Cagliero; Paolo Garza (DSMM@SIGMOD, 2020)

REDTag: A Predictive Maintenance Framework for Parcel Delivery Services. - Stefano Proto; Evelina Di Corso; Daniele Apiletti; Luca Cagliero; Tania Cerquitelli; Giovanni Malnati; Davide Mazzucchi (IEEE Access, 2020)

Training ensembles of faceted classification models for quantitative stock trading. - Luca Cagliero; Paolo Garza; Giuseppe Attanasio; Elena Baralis (Computing, 2020)

Extracting highlights of scientific articles: A supervised summarization approach. - Luca Cagliero; Moreno La Quatra (Expert Syst. Appl., 2020)

Exploiting pivot words to classify and summarize discourse facets of scientific papers. - Moreno La Quatra; Luca Cagliero; Elena Baralis (Scientometrics, 2020)

Cross-lingual timeline summarization. - Luca Cagliero; Moreno La Quatra; Paolo Garza; Elena Baralis (AIKE, 2021)

E-MIMIC: Empowering Multilingual Inclusive Communication. - Giuseppe Attanasio; Salvatore Greco; Moreno La Quatra; Luca Cagliero; Michela Tonti; Tania Cerquitelli; Rachele Raus (IEEE BigData, 2021)

Automatic slides generation in the absence of training data. - Luca Cagliero; Moreno La Quatra (COMPSAC, 2021)

From teaching books to educational videos and vice versa: a cross-media content retrieval experience. - Lorenzo Canale; Laura Farinetti; Luca Cagliero (COMPSAC, 2021)

Estimating the incidence of adverse weather effects on road traffic safety using time series embeddings. - Jacopo Fior; Luca Cagliero (COMPSAC, 2021)

Profiling industrial vehicle duties using CAN bus signal segmentation and clustering. - Silvia Buccafusco; Andrea Megaro; Luca Cagliero; Francesco Vaccarino; Lucia Salvatori; Riccardo Loti (EDBT/ICDT Workshops, 2021)

Summarize Dates First: A Paradigm Shift in Timeline Summarization. - Moreno La Quatra; Luca Cagliero; Elena Baralis; Alberto Messina; Maurizio Montagnuolo (SIGIR, 2021)

PoliTO at TREC 2021 Podcast Summarization Track. - Lorenzo Vaiani; Moreno La Quatra; Luca Cagliero; Paolo Garza (TREC, 2021)

Inferring Multilingual Domain-Specific Word Embeddings From Large Document Corpora. - Luca Cagliero; Moreno La Quatra (IEEE Access, 2021)

Preventive maintenance for heterogeneous industrial vehicles with incomplete usage data. - Dena Markudova; Sachit Mishra; Luca Cagliero; Luca Vassio; Marco Mellia; Elena Baralis; Lucia Salvatori; Riccardo Loti (Comput. Ind., 2021)

Leveraging full-text article exploration for citation analysis. - Moreno La Quatra; Luca Cagliero; Elena Baralis (Scientometrics, 2021)

Additional Reviewer Assignment by Means of Weighted Association Rules. - Luca Cagliero; Paolo Garza; Andrea Pasini; Elena Baralis (IEEE Trans. Emerg. Top. Comput., 2021)

Automatic Inference of Taxonomy Relationships Among Legal Documents. - Irene Benedetto; Luca Cagliero; Francesco Tarasconi (ADBIS (Short Papers), 2022)

Generating Comparative Explanations of Financial Time Series. - Jacopo Fior; Luca Cagliero; Tommaso Calò (ADBIS, 2022)

Legal Entity Disambiguation for Financial Crime Detection. - Jacopo Fior; Thomas Favale; Luca Cagliero; Danilo Giordano; Marco Mellia; Elena Baralis; Silvia Ronchiadin; Paolo Baracco; Dario Moncalvo (IEEE Big Data, 2022)

Leveraging summarization techniques in educational technology systems. - Irene Benedetto; Lorenzo Canale; Laura Farinetti; Luca Cagliero; Moreno La Quatra (COMPSAC, 2022)

A scalable approach to detect Contrasting Consecutive Patterns in time series data. - Stefano Tata; Luca Cagliero (COMPSAC, 2022)

Mining spatiotemporally invariant patterns. - Luca Colomba; Luca Cagliero; Paolo Garza (SIGSPATIAL/GIS, 2022)

How Much Attention Should we Pay to Mosquitoes? - Moreno La Quatra; Lorenzo Vaiani; Alkis Koudounas; Luca Cagliero; Paolo Garza; Elena Baralis (ACM Multimedia, 2022)

Transformer-based Non-Verbal Emotion Recognition: Exploring Model Portability across Speakers' Genders. - Lorenzo Vaiani; Alkis Koudounas; Moreno La Quatra; Luca Cagliero; Paolo Garza; Elena Baralis (MuSe @ ACM Multimedia, 2022)

ViPER: Video-based Perceiver for Emotion Recognition. - Lorenzo Vaiani; Moreno La Quatra; Luca Cagliero; Paolo Garza (MuSe @ ACM Multimedia, 2022)

Leveraging multimodal content for podcast summarization. - Lorenzo Vaiani; Moreno La Quatra; Luca Cagliero; Paolo Garza (SAC, 2022)

Correlating Extreme Weather Conditions With Road Traffic Safety: A Unified Latent Space Model. - Jacopo Fior; Luca Cagliero (IEEE Access, 2022)

Leveraging Explainable AI to Support Cryptocurrency Investors. - Jacopo Fior; Luca Cagliero; Paolo Garza (Future Internet, 2022)

Transformer-based highlights extraction from scientific papers. - Moreno La Quatra; Luca Cagliero (Knowl. Based Syst., 2022)

Complementing Location-Based Social Network Data With Mobility Data: A Pattern-Based Approach. - Elena Daraio; Luca Cagliero; Silvia Chiusano; Paolo Garza (IEEE Trans. Intell. Transp. Syst., 2022)

Detecting industrial vehicles' duty levels using contrastive learning. - Luca Cagliero; Silvia Buccafusco; Francesco Vaccarino; Lucia Salvatori; Riccardo Loti (IEEE Big Data, 2023)

GX-HUI: Global Explanations of AI Models based on High-Utility Itemsets. - Davide Napolitano; Luca Cagliero (COMPSAC, 2023)

Learning Confidence Intervals for Feature Importance: A Fast Shapley-based Approach. - Davide Napolitano; Lorenzo Vaiani; Luca Cagliero (EDBT/ICDT Workshops, 2023)

PoliTo at MULTI-Fake-DetectiVE: Improving FND-CLIP for Multimodal Italian Fake News Detection. - Lorenzo D'Amico; Davide Napolitano; Lorenzo Vaiani; Luca Cagliero (EVALITA, 2023)

DANTE at GeoLingIt: Dialect-Aware Multi-Granularity Pre-training for Locating Tweets within Italy. - Giuseppe Gallipoli; Moreno La Quatra; Daniele Rege Cambrin; Salvatore Greco; Luca Cagliero (EVALITA, 2023)

ba휌tti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy. - Alkis Koudounas; Flavio Giobergia; Irene Benedetto; Simone Monaco; Luca Cagliero; Daniele Apiletti; Elena Baralis (EVALITA, 2023)

Exploring Subgroup Performance in End-to-End Speech Models. - Alkis Koudounas; Eliana Pastor; Giuseppe Attanasio; Vittorio Mazzia; Manuel Giollo; Thomas Gueudré; Luca Cagliero; Luca de Alfaro; Elena Baralis; Daniele Amberti (ICASSP, 2023)

ITALIC: An Italian Intent Classification Dataset. - Alkis Koudounas; Moreno La Quatra; Lorenzo Vaiani; Luca Colomba; Giuseppe Attanasio; Eliana Pastor; Luca Cagliero; Elena Baralis (INTERSPEECH, 2023)

Benchmarking Abstractive Models for Italian Legal News Summarization. - Irene Benedetto; Luca Cagliero; Francesco Tarasconi; Giuseppe Giacalone; Claudia Bernini (JURIX, 2023)

On the use of Pretrained Language Models for Legal Italian Document Classification. - Irene Benedetto; Gianpiero Sportelli; Sara Bertoldo; Francesco Tarasconi; Luca Cagliero; Giuseppe Giacalone (KES, 2023)

QATCH: Benchmarking SQL-centric tasks with Table Representation Learning Models on Your Data. - Simone Papicchio; Paolo Papotti; Luca Cagliero (NeurIPS, 2023)

Discovering SpatioTemporal Warning Contexts from Non-emergency Call Reports. - Luca Cagliero; Andrea Avignone; Silvia Chiusano (PKDD/ECML Workshops (3), 2023)

Inclusively: An AI-Based Assistant for Inclusive Writing. - Moreno La Quatra; Salvatore Greco; Luca Cagliero; Tania Cerquitelli (ECML/PKDD (7), 2023)

PoliToHFI at SemEval-2023 Task 6: Leveraging Entity-Aware and Hierarchical Transformers For Legal Entity Recognition and Court Judgment Prediction. - Irene Benedetto; Alkis Koudounas; Lorenzo Vaiani; Eliana Pastor; Elena Baralis; Luca Cagliero; Francesco Tarasconi (SemEval@ACL, 2023)

PoliTo at SemEval-2023 Task 1: CLIP-based Visual-Word Sense Disambiguation Based on Back-Translation. - Lorenzo Vaiani; Luca Cagliero; Paolo Garza (SemEval@ACL, 2023)

Transformer-based Prediction of Emotional Reactions to Online Social Network Posts. - Irene Benedetto; Moreno La Quatra; Luca Cagliero; Luca Vassio; Martino Trevisan (WASSA@ACL, 2023)

Data-Driven Analysis of Student Engagement in Time-Limited Computer Laboratories. - Luca Cagliero; Lorenzo Canale; Laura Farinetti (Algorithms, 2023)

Learning industrial vehicles' duty patterns: A real case. - Silvia Buccafusco; Luca Cagliero; Andrea Megaro; Francesco Vaccarino; Riccardo Loti; Lucia Salvatori (Comput. Ind., 2023)

Enhancing BERT-Based Visual Question Answering through Keyword-Driven Sentence Selection. - Davide Napolitano; Lorenzo Vaiani; Luca Cagliero (CoRR, 2023)

BART-IT: An Efficient Sequence-to-Sequence Model for Italian Text Summarization. - Moreno La Quatra; Luca Cagliero (Future Internet, 2023)

Shortlisting machine learning-based stock trading recommendations using candlestick pattern recognition. - Luca Cagliero; Jacopo Fior; Paolo Garza (Expert Syst. Appl., 2023)

Early portfolio pruning: a scalable approach to hybrid portfolio selection. - Daniele Giovanni Gioia; Jacopo Fior; Luca Cagliero (Knowl. Inf. Syst., 2023)

Density-Based Clustering by Means of Bridge Point Identification. - Luca Colomba; Luca Cagliero; Paolo Garza (IEEE Trans. Knowl. Data Eng., 2023)

3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding. - Yihao Ding; Lorenzo Vaiani; Soyeon Caren Han; Jean Lee; Paolo Garza; Josiah Poon; Luca Cagliero (ACL (Findings), 2024)

Empowering University-level Help Desk for International Applicants with AI Chatbots. - Zahra Karimi; Giuseppe Gallipoli; Luca Cagliero; Francesca Chicco; Carola Rosa; Alessandra Sechi (IEEE Big Data, 2024)

Towards an Explorable Conceptual Map of Large Language Models. - Lorenzo Bertetto; Francesca Bettinelli; Alessio Buda; Marco Da Mommio; Simone Di Bari; Claudio Savelli; Elena Baralis; Anna Bernasconi 002; Luca Cagliero; Stefano Ceri; Francesco Pierri 002 (CAiSE Forum, 2024)

ChatGPT, be my Teaching Assistant! Automatic Correction of SQL Exercises. - Luca Cagliero; Laura Farinetti; Jacopo Fior; Andrea Ignazio Manenti (COMPSAC, 2024)

On Leveraging Multi-Page Element Relations in Visually-Rich Documents. - Davide Napolitano; Lorenzo Vaiani; Luca Cagliero (COMPSAC, 2024)

DQNC2S: DQN-Based Cross-Stream Crisis Event Summarizer. - Daniele Rege Cambrin; Luca Cagliero; Paolo Garza (ECIR (3), 2024)

Extreme Classification of European Union Law Documents Driven by Entity Embeddings. - Irene Benedetto; Luca Cagliero; Francesco Tarasconi (EDBT/ICDT Workshops, 2024)

Building Foundations for Inclusiveness through Expert-Annotated Data. - Moreno La Quatra; Salvatore Greco; Luca Cagliero; Michela Tonti; Francesca Dragotto; Rachele Raus; Stefania Cavagnoli; Tania Cerquitelli (EDBT/ICDT Workshops, 2024)

Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning. - Daniele Rege Cambrin; Giuseppe Gallipoli; Irene Benedetto; Luca Cagliero; Paolo Garza (EMNLP (Findings), 2024)

Evaluating the Reliability of Shapley Value Estimates: An Interval-Based Approach. - Davide Napolitano; Luca Cagliero (HI-AI@KDD, 2024)

Leveraging Confidence Models for Identifying Challenging Data Subgroups in Speech Models. - Alkis Koudounas; Eliana Pastor; Vittorio Mazzia; Manuel Giollo; Thomas Gueudré; Elisa Reale; Giuseppe Attanasio; Luca Cagliero; Sandro Cumani; Luca De Alfaro; Elena Baralis; Daniele Amberti (ICASSP Workshops, 2024)

Benchmarking Representations for Speech, Music, and Acoustic Events. - Moreno La Quatra; Alkis Koudounas; Lorenzo Vaiani; Elena Baralis; Luca Cagliero; Paolo Garza; Sabato Marco Siniscalchi (ICASSP Workshops, 2024)

Evaluating Ambiguous Questions in Semantic Parsing. - Simone Papicchio; Paolo Papotti; Luca Cagliero (ICDEW, 2024)

MAINDZ at SemEval-2024 Task 5: CLUEDO - Choosing Legal oUtcome by Explaining Decision through Oversight. - Irene Benedetto; Alkis Koudounas; Lorenzo Vaiani; Eliana Pastor; Luca Cagliero; Francesco Tarasconi (SemEval@NAACL, 2024)

M3-VRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding. - Yihao Ding; Lorenzo Vaiani; Soyeon Caren Han; Jean Lee; Paolo Garza; Josiah Poon; Luca Cagliero (CoRR, 2024)

BONES: a Benchmark fOr Neural Estimation of Shapley values. - Davide Napolitano; Luca Cagliero (CoRR, 2024)

TASP: Topic-based abstractive summarization of Facebook text posts. - Irene Benedetto; Moreno La Quatra; Luca Cagliero; Luca Vassio; Martino Trevisan (Expert Syst. Appl., 2024)

Towards Comprehensive Subgroup Performance Analysis in Speech Models. - Alkis Koudounas; Eliana Pastor; Giuseppe Attanasio; Vittorio Mazzia; Manuel Giollo; Thomas Gueudré; Elisa Reale; Luca Cagliero; Sandro Cumani; Luca de Alfaro; Elena Baralis; Daniele Amberti (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Abstractive video lecture summarization: applications and future prospects. - Irene Benedetto; Moreno La Quatra; Luca Cagliero; Lorenzo Canale; Laura Farinetti (Educ. Inf. Technol., 2024)

On Predicting Exam Performance Using Version Control Systems' Features. - Lorenzo Canale; Luca Cagliero; Laura Farinetti; Marco Torchiano (Comput., 2024)

Emotion Recognition from Videos Using Multimodal Large Language Models. - Lorenzo Vaiani; Luca Cagliero; Paolo Garza (Future Internet, 2024)

Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks. - Moreno La Quatra; Giuseppe Gallipoli; Luca Cagliero (ACM Trans. Intell. Syst. Technol., 2024)

Efficient Neural Network-Based Estimation of Interval Shapley Values. - Davide Napolitano; Lorenzo Vaiani; Luca Cagliero (IEEE Trans. Knowl. Data Eng., 2024)

Detecting and Mitigating Challenges in Zero-Shot Video Summarization with Video LLMs. - Luca Cagliero; Lorenzo Vaiani; Eliana Pastor; Alkis Koudounas; Elena Baralis; Vittorio Mazzia; Sandro Pollastrini; Thomas Gueudré; Manuel Giollo; Daniele Amberti; Yue Wu (ACL (Findings), 2025)

It is not a piece of cake for GPT: Explaining Textual Entailment Recognition in the presence of Figurative Language. - Giuseppe Gallipoli; Luca Cagliero (COLING, 2025)

Semi-supervised Community Detection in Dynamic Graphs. - Matteo Bianco; Luca Cagliero; Luca Vassio (EDBT/ICDT Workshops, 2025)

Retrieval Augmented Generation of Summarized Answers on Visually-Rich Documents for Trend and Risk Analysis. - Giuseppe Gallipoli; Luca Cagliero; Alessandro Mosca 003; Arianna Miola; Daniele Borghi (EDBT/ICDT Workshops, 2025)

A Critical Approach to ChatGPT: An Experience in SQL Learning. - Laura Farinetti; Luca Cagliero (SIGCSE (1), 2025)

Cross-modal consistency types in multimodal social data. - Lorenzo Vaiani; Luca Cagliero; Paolo Garza; Jason Ravagli (Knowl. Based Syst., 2025)

Think2SQL: Reinforce LLM Reasoning Capabilities for Text2SQL. - Simone Papicchio; Simone Rossi 001; Luca Cagliero; Paolo Papotti (CoRR, 2025)

QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data. - Simone Papicchio; Paolo Papotti; Luca Cagliero (ACM Trans. Intell. Syst. Technol., 2025)

Text-to-Remote-Sensing-Image Retrieval beyond RGB Sources. - Daniele Rege Cambrin; Lorenzo Vaiani; Giuseppe Gallipoli; Luca Cagliero; Paolo Garza (CoRR, 2025)