A Lazy Approach to Pruning Classification Rules. - Elena Baralis; Paolo Garza (ICDM, 2002)

Accurate Classification by means of Association Rules. - Elena Baralis; Paolo Garza (SEBD, 2002)

Towards Feasible Topology Formation Algorithms for Bluetooth-based WPANs. - Carla-Fabiana Chiasserini; Marco Ajmone Marsan; Elena Baralis; Paolo Garza (HICSS, 2003)

Majority Classification by Means of Association Rules. - Elena Baralis; Paolo Garza (PKDD, 2003)

Summarizing XML Data by Means of Association Rules. - Elena Baralis; Paolo Garza; Elisa Quintarelli; Letizia Tanca (EDBT Workshops, 2004)

On support thresholds in associative classification. - Elena Baralis; Silvia Chiusano; Paolo Garza (SAC, 2004)

Answering Queries on XML Data by means of Association Rules. - Elena Baralis; Paolo Garza; Elisa Quintarelli; Letizia Tanca (SEBD, 2004)

Associative classification algorithms. - Paolo Garza (2005)

Associative text categorization exploiting negated words. - Elena Baralis; Paolo Garza (SAC, 2006)

Anomaly Detection in XML databases by means of Association Rules. - Giulia Bruno; Paolo Garza; Elisa Quintarelli; Rosalba Rossato (DEXA Workshops, 2007)

RADAR: Research of Anomalous Data through Association Rules. - Giulia Bruno; Paolo Garza; Elisa Quintarelli; Rosalba Rossato (SEBD, 2007)

Anomaly detection through quasi-functional dependency analysis. - Giulia Bruno; Paolo Garza; Elisa Quintarelli; Rosalba Rossato (J. Digit. Inf. Manag., 2007)

Answering XML queries by means of data summaries. - Elena Baralis; Paolo Garza; Elisa Quintarelli; Letizia Tanca (ACM Trans. Inf. Syst., 2007)

A Lazy Approach to Associative Classification. - Elena Baralis; Silvia Chiusano; Paolo Garza (IEEE Trans. Knowl. Data Eng., 2008)

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)

TOD: Temporal outlier detection by using quasi-functional temporal dependencies. - Giulia Bruno; Paolo Garza (Data Knowl. Eng., 2010)

Structured data classification by means of matrix factorization. - Paolo Garza (CIKM, 2011)

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)

I-prune: Item selection for associative classification. - Elena Baralis; Paolo Garza (Int. J. Intell. Syst., 2012)

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

Hadoop on a Low-Budget General Purpose HPC Cluster in Academia. - Paolo Garza; Paolo Margara; Nicolò Nepote; Luigi Grimaudo; Elio Piccolo (ADBIS (2), 2013)

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

A data mining approach to incremental adaptive functional diagnosis. - Cristiana Bolchini; Elisa Quintarelli; Fabio Salice; Paolo Garza (DFTS, 2013)

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

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

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

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

A Review of Scalable Approaches for Frequent Itemset Mining. - Daniele Apiletti; Paolo Garza; Fabio Pulvirenti (ADBIS (Short Papers and Workshops), 2015)

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

PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data. - Daniele Apiletti; Elena Baralis; Tania Cerquitelli; Paolo Garza; Pietro Michiardi; Fabio Pulvirenti (ICDM 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)

An Expert CAD Flow for Incremental Functional Diagnosis of Complex Electronic Boards. - Cristiana Bolchini; Luca Cassano; Paolo Garza; Elisa Quintarelli; Fabio Salice (IEEE Trans. Comput. Aided Des. Integr. Circuits 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)

Reducing Big Data by Means of Context-Aware Tailoring. - Paolo Garza; Elisa Quintarelli; Emanuele Rabosio; Letizia Tanca (ADBIS (Short Papers and Workshops), 2016)

BAC: A Bagged Associative Classifier for Big Data Frameworks. - Luca Venturini; Paolo Garza; Daniele Apiletti (ADBIS (Short Papers and Workshops), 2016)

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

Analyzing air pollution on the urban environment. - Elena Baralis; Tania Cerquitelli; Silvia Chiusano; Paolo Garza; Mohammad Reza Kavoosifar (MIPRO, 2016)

SaFe-NeC: A scalable and flexible system for network data characterization. - Daniele Apiletti; Elena Baralis; Tania Cerquitelli; Paolo Garza; Luca Venturini (NOMS, 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)

Eurecom-Polito at TRECVID 2016: Hyperlinking Tasks. - Benoit Huet; Elena Baralis; Paolo Garza; Mohammad Reza Kavoosifar (TRECVID, 2016)

Characterization and search of web services through intensional knowledge. - Devis Bianchini; Paolo Garza; Elisa Quintarelli (J. Intell. Inf. Syst., 2016)

SeLINA: A Self-Learning Insightful Network Analyzer. - Daniele Apiletti; Elena Baralis; Tania Cerquitelli; Paolo Garza; Danilo Giordano; Marco Mellia; Luca Venturini (IEEE Trans. Netw. Serv. Manag., 2016)

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

SQL versus NoSQL databases for geospatial applications. - Elena Baralis; Andrea Dalla Valle; Paolo Garza; Claudio Rossi 003; Francesco Scullino (IEEE BigData, 2017)

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

Eurecom-Polito at TRECVID 2017: Hyperlinking task. - Benoit Huet; Elena Baralis; Paolo Garza; Mohammad Reza Kavoosifar (TRECVID, 2017)

A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data. - Daniele Apiletti; Elena Baralis; Tania Cerquitelli; Paolo Garza; Fabio Pulvirenti; Pietro Michiardi (Big Data Res., 2017)

Frequent Itemsets Mining for Big Data: A Comparative Analysis. - Daniele Apiletti; Elena Baralis; Tania Cerquitelli; Paolo Garza; Fabio Pulvirenti; Luca Venturini (Big Data Res., 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)

Scaling associative classification for very large datasets. - Luca Venturini; Elena Baralis; Paolo Garza (J. Big Data, 2017)

A Density-based Preprocessing Technique to Scale Out Clustering. - Elena Baralis; Paolo Garza; Eliana Pastor (IEEE BigData, 2018)

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

PERCEIVE: Precipitation Data Characterization by means on Frequent Spatio-Temporal Sequences. - Alessandro Farasin; Paolo Garza (ISCRAM, 2018)

Deep Learning Models for Passability Detection of Flooded Roads. - Laura Lopez-Fuentes; Alessandro Farasin; Harald Skinnemoen; Paolo Garza (MediaEval, 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)

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)

Adaptive Hierarchical Clustering for Petrographic Image Analysis. - Andrea Pasini; Elena Baralis; Paolo Garza; Davide Floriello; Michela Idiomi; Andrea Ortenzi; Simone Ricci (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)

AI-Based Flood Event Understanding and Quantifying Using Online Media and Satellite Data. - Mirko Zaffaroni; Laura Lopez-Fuentes; Alessandro Farasin; Paolo Garza; Harald Skinnemoen (MediaEval, 2019)

Unsupervised Burned Area Estimation through Satellite Tiles: A Multimodal Approach by Means of Image Segmentation over Remote Sensing Imagery. - Alessandro Farasin; Giovanni Nini; Paolo Garza; Claudio Rossi 003 (MACLEAN@PKDD/ECML, 2019)

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

Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images. - Simone Monaco; Andrea Pasini; Daniele Apiletti; Luca Colomba; Paolo Garza; Elena Baralis (IEEE BigData, 2020)

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)

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

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

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

Real-time Object Detection and Tracking in Mixed Reality using Microsoft HoloLens. - Alessandro Farasin; Francesco Peciarolo; Marco Grangetto; Elena Gianaria; Paolo Garza (VISIGRAPP (4: VISAPP), 2020)

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

Effective video hyperlinking by means of enriched feature sets and monomodal query combinations. - Mohammad Reza Kavoosifar; Daniele Apiletti; Elena Baralis; Paolo Garza; Benoit Huet (Int. J. Multim. Inf. Retr., 2020)

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

Online Classification of RTC Traffic. - Gianluca Perna; Dena Markudova; Martino Trevisan; Paolo Garza; Michela Meo; Maurizio M. Munafò; Giovanna Carofiglio (CCNC, 2021)

Double-Step deep learning framework to improve wildfire severity classification. - Simone Monaco; Andrea Pasini; Daniele Apiletti; Luca Colomba; Alessandro Farasin; Paolo Garza; Elena Baralis (EDBT/ICDT Workshops, 2021)

DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets. - Matteo Corain; Paolo Garza; Abolfazl Asudeh (ICDE, 2021)

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

What's my App?: ML-based classification of RTC applications. - Dena Markudova; Martino Trevisan; Paolo Garza; Michela Meo; Maurizio M. Munafò; Giovanna Carofiglio (SIGMETRICS Perform. Evaluation Rev., 2021)

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

A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. - Luca Colomba; Alessandro Farasin; Simone Monaco; Salvatore Greco; Paolo Garza; Daniele Apiletti; Elena Baralis; Tania Cerquitelli (CIKM, 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)

Vision Transformers for Burned Area Delineation. - Daniele Rege Cambrin; Luca Colomba; Paolo Garza (MACLEAN@PKDD/ECML, 2022)

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

Retina: An open-source tool for flexible analysis of RTC traffic. - Gianluca Perna; Dena Markudova; Martino Trevisan; Paolo Garza; Michela Meo; Maurizio M. Munafò (Comput. Networks, 2022)

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

Satellite Burned Area Dataset. - Luca Colomba; Alessandro Farasin; Simone Monaco; Salvatore Greco; Paolo Garza; Daniele Apiletti; Elena Baralis; Tania Cerquitelli (Zenodo, 2022)

Real-Time Classification of Real-Time Communications. - Gianluca Perna; Dena Markudova; Martino Trevisan; Paolo Garza; Michela Meo; Maurizio M. Munafò; Giovanna Carofiglio (IEEE Trans. Netw. Serv. Manag., 2022)

ViGEO: an Assessment of Vision GNNs in Earth Observation. - Luca Colomba; Paolo Garza (ICDM (Workshops), 2023)

A Novel DB CASE Tool for Relational Databases. - Andrea Avignone; Silvia Chiusano; Alessandro Fiori; Paolo Garza; Emanuele Marchetta (SEBD, 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)

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

BitFormer: Transformer-Based Neural Network for Bitrate Prediction in Real-Time Communications. - Tailai Song; Gianluca Perna; Paolo Garza; Michela Meo; Maurizio Matteo Munafò (CCNC, 2024)

Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation. - Daniele Rege Cambrin; Isaac Corley; Paolo Garza (ECCV Workshops (2), 2024)

Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment. - Daniele Rege Cambrin; Gabriele Scaffidi Militone; Luca Colomba; Giovanni Malnati; Daniele Apiletti; Paolo Garza (ECCV Workshops (2), 2024)

KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation. - Daniele Rege Cambrin; Eleonora Poeta; Eliana Pastor; Tania Cerquitelli; Elena Baralis; Paolo Garza (ECCV Workshops (3), 2024)

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

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)

Paraphrase Loss for Abstractive Summarization. - Daniele Rege Cambrin; Paolo Garza (Tiny Papers @ ICLR, 2024)

Throughput Prediction in Real-Time Communications: Spotlight on Traffic Extremes. - Tailai Song; Paolo Garza; Michela Meo; Maurizio Matteo Munafò (ISCC, 2024)

Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications. - Tailai Song; Paolo Garza; Michela Meo; Maurizio Matteo Munafò (ISM, 2024)

Towards the Detection of Unobservable Losses in Real-Time Communications. - Tailai Song; Paolo Garza; Michela Meo; Maurizio Matteo Munafò (LANMAN, 2024)

Ground-Based Contrail Detection by Means of Computer Vision Models: A Comparison Between Visible and Infrared Images. - Paolo Pertino; Leonardo Pavarino; Simone Lomolino; Enrico Miotto; Daniele Rege Cambrin; Paolo Garza; Emanuele Ogliari (RTSI, 2024)

DeX: Deep learning-based throughput prediction for real-time communications with emphasis on traffic eXtremes. - Tailai Song; Paolo Garza; Michela Meo; Maurizio M. Munafò (Comput. Networks, 2024)

CaBuAr: California Burned Areas dataset for delineation. - Daniele Rege Cambrin; Luca Colomba; Paolo Garza (CoRR, 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)

QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1. - Daniele Rege Cambrin; Paolo Garza (CoRR, 2024)

Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking. - Daniele Rege Cambrin; Isaac Corley; Paolo Garza; Peyman Najafirad (CoRR, 2024)

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

Turin3D: Evaluating Adaptation Strategies under Label Scarcity in Urban LiDAR Segmentation with Semi-Supervised Techniques. - Luca Barco; Giacomo Blanco; Gaetano Chiriaco; Alessia Intini; Luigi La Riccia; Vittorio Scolamiero; Piero Boccardo; Paolo Garza; Fabrizio Dominici (CVPR Workshops, 2025)

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

Magnifier: A Multigrained Neural Network-Based Architecture for Burned Area Delineation. - Daniele Rege Cambrin; Luca Colomba; Paolo Garza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Packet Loss in Real-Time Communications: Can ML Tame Its Unpredictable Nature? - Tailai Song; Gianluca Perna; Paolo Garza; Michela Meo; Maurizio Matteo Munafò (IEEE Trans. Netw. Serv. Manag., 2025)

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation. - Daniele Rege Cambrin; Luca Colomba; Paolo Garza (CoRR, 2025)

HydroChronos: Forecasting Decades of Surface Water Change. - Daniele Rege Cambrin; Eleonora Poeta; Eliana Pastor; Isaac Corley; Tania Cerquitelli; Elena Baralis; Paolo Garza (CoRR, 2025)

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