Paolo Garza

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 86

Top Venues

CoRR

EDBT/ICDT Workshops

Inf. Sci.

ADBIS (Short Papers and Workshops)

Publications

Luca Colomba, Paolo Garza
ViGEO: an Assessment of Vision GNNs in Earth Observation. CoRR (2024)
Tailai Song, Gianluca Perna, Paolo Garza, Michela Meo, Maurizio Matteo Munafò
BitFormer: Transformer-Based Neural Network for Bitrate Prediction in Real-Time Communications. CCNC (2024)
Tailai Song, Paolo Garza, Michela Meo, Maurizio M. Munafò
DeX: Deep learning-based throughput prediction for real-time communications with emphasis on traffic eXtremes. Comput. Networks 249 (2024)
Daniele Rege Cambrin, Luca Colomba, Paolo Garza
CaBuAr: California Burned Areas dataset for delineation. CoRR (2024)
Daniele Rege Cambrin, Luca Cagliero, Paolo Garza
DQNC2S: DQN-Based Cross-Stream Crisis Event Summarizer. ECIR (3) (2024)
Yihao Ding, Lorenzo Vaiani, Soyeon Caren Han, Jean Lee, Paolo Garza, Josiah Poon, Luca Cagliero
3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding. ACL (Findings) (2024)
Daniele Rege Cambrin, Luca Cagliero, Paolo Garza
DQNC2S: DQN-based Cross-stream Crisis event Summarizer. CoRR (2024)
Daniele Rege Cambrin, Paolo Garza
Paraphrase Loss for Abstractive Summarization. Tiny Papers @ ICLR (2024)
Daniele Rege Cambrin, Paolo Garza
QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1. CoRR (2024)
Daniele Rege Cambrin, Isaac Corley, Paolo Garza, Peyman Najafirad
Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking. CoRR (2024)
Moreno La Quatra, Alkis Koudounas, Lorenzo Vaiani, Elena Baralis, Luca Cagliero, Paolo Garza, Sabato Marco Siniscalchi
Benchmarking Representations for Speech, Music, and Acoustic Events. CoRR (2024)
Lorenzo Vaiani, Luca Cagliero, Paolo Garza
Emotion Recognition from Videos Using Multimodal Large Language Models. Future Internet 16 (7) (2024)
Tailai Song, Paolo Garza, Michela Meo, Maurizio Matteo Munafò
Towards the Detection of Unobservable Losses in Real-Time Communications. LANMAN (2024)
Yihao Ding, Lorenzo Vaiani, Soyeon Caren Han, Jean Lee, Paolo Garza, Josiah Poon, Luca Cagliero
M3-VRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding. CoRR (2024)
Lorenzo Vaiani, Luca Cagliero, Paolo Garza
PoliTo at SemEval-2023 Task 1: CLIP-based Visual-Word Sense Disambiguation Based on Back-Translation. SemEval@ACL (2023)
Luca Cagliero, Jacopo Fior, Paolo Garza
Shortlisting machine learning-based stock trading recommendations using candlestick pattern recognition. Expert Syst. Appl. 216 (2023)
Luca Colomba, Paolo Garza
ViGEO: an Assessment of Vision GNNs in Earth Observation. ICDM (Workshops) (2023)
Andrea Avignone, Silvia Chiusano, Alessandro Fiori, Paolo Garza, Emanuele Marchetta
A Novel DB CASE Tool for Relational Databases. SEBD (2023)
Luca Colomba, Luca Cagliero, Paolo Garza
Density-Based Clustering by Means of Bridge Point Identification. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Jacopo Fior, Luca Cagliero, Paolo Garza
Leveraging Explainable AI to Support Cryptocurrency Investors. Future Internet 14 (9) (2022)
Luca Colomba, Luca Cagliero, Paolo Garza
Mining spatiotemporally invariant patterns. SIGSPATIAL/GIS (2022)
Gianluca Perna, Dena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio M. Munafò, Giovanna Carofiglio
Real-Time Classification of Real-Time Communications. IEEE Trans. Netw. Serv. Manag. 19 (4) (2022)
Gianluca Perna, Dena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio M. Munafò
Retina: An open-source tool for flexible analysis of RTC traffic. Comput. Networks 202 (2022)
Lorenzo Vaiani, Alkis Koudounas, Moreno La Quatra, Luca Cagliero, Paolo Garza, Elena Baralis
Transformer-based Non-Verbal Emotion Recognition: Exploring Model Portability across Speakers' Genders. MuSe @ ACM Multimedia (2022)
Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza
Leveraging multimodal content for podcast summarization. SAC (2022)
Moreno La Quatra, Lorenzo Vaiani, Alkis Koudounas, Luca Cagliero, Paolo Garza, Elena Baralis
How Much Attention Should we Pay to Mosquitoes? ACM Multimedia (2022)
Elena Daraio, Luca Cagliero, Silvia Chiusano, Paolo Garza
Complementing Location-Based Social Network Data With Mobility Data: A Pattern-Based Approach. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Daniele Rege Cambrin, Luca Colomba, Paolo Garza
Vision Transformers for Burned Area Delineation. MACLEAN@PKDD/ECML (2022)
Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza
ViPER: Video-based Perceiver for Emotion Recognition. MuSe @ ACM Multimedia (2022)
Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. CIKM (2022)
Luca Cagliero, Moreno La Quatra, Paolo Garza, Elena Baralis
Cross-lingual timeline summarization. AIKE (2021)
Gianluca Perna, Dena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio M. Munafò, Giovanna Carofiglio
Online Classification of RTC Traffic. CCNC (2021)
Dena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio M. Munafò, Giovanna Carofiglio
What's my App?: ML-based classification of RTC applications. SIGMETRICS Perform. Evaluation Rev. 48 (4) (2021)
Luca Cagliero, Paolo Garza, Andrea Pasini, Elena Baralis
Additional Reviewer Assignment by Means of Weighted Association Rules. IEEE Trans. Emerg. Top. Comput. 9 (1) (2021)
Matteo Corain, Paolo Garza, Abolfazl Asudeh
DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets. ICDE (2021)
Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Alessandro Farasin, Paolo Garza, Elena Baralis
Double-Step deep learning framework to improve wildfire severity classification. EDBT/ICDT Workshops (2021)
Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza
PoliTO at TREC 2021 Podcast Summarization Track. TREC (2021)
Giuseppe Attanasio, Flavio Giobergia, Andrea Pasini, Francesco Ventura, Elena Baralis, Luca Cagliero, Paolo Garza, Daniele Apiletti, Tania Cerquitelli, Silvia Chiusano
DSLE: A Smart Platform for Designing Data Science Competitions. COMPSAC (2020)
Jacopo Fior, Luca Cagliero, Paolo Garza
Price series cross-correlation analysis to enhance the diversification of itemset-based stock portfolios. DSMM@SIGMOD (2020)
Mohammad Reza Kavoosifar, Daniele Apiletti, Elena Baralis, Paolo Garza, Benoit Huet
Effective video hyperlinking by means of enriched feature sets and monomodal query combinations. Int. J. Multim. Inf. Retr. 9 (3) (2020)
Luca Cagliero, Paolo Garza, Giuseppe Attanasio, Elena Baralis
Training ensembles of faceted classification models for quantitative stock trading. Computing 102 (5) (2020)
Flavio Giobergia, Luca Cagliero, Paolo Garza, Elena Baralis
Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment. EDBT/ICDT Workshops (2020)
Alessandro Farasin, Francesco Peciarolo, Marco Grangetto, Elena Gianaria, Paolo Garza
Real-time Object Detection and Tracking in Mixed Reality using Microsoft HoloLens. VISIGRAPP (4: VISAPP) (2020)
Elena Daraio, Luca Cagliero, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero
An explainable data-driven approach to web directory taxonomy mapping. KES (2020)
Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Paolo Garza, Elena Baralis
Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images. IEEE BigData (2020)
Mirko Zaffaroni, Laura Lopez-Fuentes, Alessandro Farasin, Paolo Garza, Harald Skinnemoen
AI-Based Flood Event Understanding and Quantifying Using Online Media and Satellite Data. MediaEval (2019)
Andrea Pasini, Elena Baralis, Paolo Garza, Davide Floriello, Michela Idiomi, Andrea Ortenzi, Simone Ricci
Adaptive Hierarchical Clustering for Petrographic Image Analysis. EDBT/ICDT Workshops (2019)
Luca Cagliero, Paolo Garza, Elena Baralis
ELSA: A Multilingual Document Summarization Algorithm Based on Frequent Itemsets and Latent Semantic Analysis. ACM Trans. Inf. Syst. 37 (2) (2019)
Alessandro Farasin, Giovanni Nini, Paolo Garza, Claudio Rossi
Unsupervised Burned Area Estimation through Satellite Tiles: A Multimodal Approach by Means of Image Segmentation over Remote Sensing Imagery. MACLEAN@PKDD/ECML (2019)
Luca Cagliero, Silvia Chiusano, Elena Daraio, Paolo Garza
CarPredictor: Forecasting the Number of Free Floating Car Sharing Vehicles within Restricted Urban Areas. BigData Congress (2019)
Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis
Combining News Sentiment and Technical Analysis to Predict Stock Trend Reversal. ICDM Workshops (2019)
Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis
Quantitative cryptocurrency trading: exploring the use of machine learning techniques. DSMM@SIGMOD (2019)
Luca Cagliero, Paolo Garza
Study of the Applicability of an Itemset-Based Portfolio Planner in a Multi-Market Context. EDBT/ICDT Workshops (2018)
Luca Venturini, Elena Baralis, Paolo Garza
Scaling associative classification for very large datasets. CoRR (2018)
Alessandro Farasin, Paolo Garza
PERCEIVE: Precipitation Data Characterization by means on Frequent Spatio-Temporal Sequences. ISCRAM (2018)
Elena Baralis, Paolo Garza, Eliana Pastor
A Density-based Preprocessing Technique to Scale Out Clustering. IEEE BigData (2018)
Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Antonio Attanasio
Characterizing unpredictable patterns in Wireless Sensor Network data. Inf. Sci. 467 (2018)
Laura Lopez-Fuentes, Alessandro Farasin, Harald Skinnemoen, Paolo Garza
Deep Learning Models for Passability Detection of Flooded Roads. MediaEval (2018)
Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis
Discovering cross-topic collaborations among researchers by exploiting weighted association rules. Scientometrics 116 (2) (2018)
Elena Baralis, Andrea Dalla Valle, Paolo Garza, Claudio Rossi, Francesco Scullino
SQL versus NoSQL databases for geospatial applications. IEEE BigData (2017)
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Pietro Michiardi
A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data. Big Data Res. 10 (2017)
Benoit Huet, Elena Baralis, Paolo Garza, Mohammad Reza Kavoosifar
Eurecom-Polito at TRECVID 2017: Hyperlinking task. TRECVID (2017)
Luca Venturini, Elena Baralis, Paolo Garza
Scaling associative classification for very large datasets. J. Big Data 4 (2017)
Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis
Identifying Collaborations among Researchers: a pattern-based approach. BIRNDL@SIGIR (1) (2017)
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Luca Venturini
Frequent Itemsets Mining for Big Data: A Comparative Analysis. Big Data Res. 9 (2017)
Luca Cagliero, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero
Discovering High-Utility Itemsets at Multiple Abstraction Levels. ADBIS (Short Papers and Workshops) (2017)
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti
Discovering profitable stocks for intraday trading. Inf. Sci. 405 (2017)
Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Xin Xiao
Predicting critical conditions in bicycle sharing systems. Computing 99 (1) (2017)
Elena Baralis, Luca Cagliero, Paolo Garza
Planning stock portfolios by means of weighted frequent itemsets. Expert Syst. Appl. 86 (2017)
Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero, Xin Xiao
Modeling Correlations among Air Pollution-Related Data through Generalized Association Rules. SMARTCOMP (2016)
Devis Bianchini, Paolo Garza, Elisa Quintarelli
Characterization and search of web services through intensional knowledge. J. Intell. Inf. Syst. 47 (3) (2016)
Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Mohammad Reza Kavoosifar
Analyzing air pollution on the urban environment. MIPRO (2016)
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Danilo Giordano, Marco Mellia, Luca Venturini
SeLINA: A Self-Learning Insightful Network Analyzer. IEEE Trans. Netw. Serv. Manag. 13 (3) (2016)
Benoit Huet, Elena Baralis, Paolo Garza, Mohammad Reza Kavoosifar
Eurecom-Polito at TRECVID 2016: Hyperlinking Tasks. TRECVID (2016)
Luca Venturini, Paolo Garza, Daniele Apiletti
BAC: A Bagged Associative Classifier for Big Data Frameworks. ADBIS (Short Papers and Workshops) (2016)
Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero
Discovering air quality patterns in urban environments. UbiComp Adjunct (2016)
Paolo Garza, Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca
Reducing Big Data by Means of Context-Aware Tailoring. ADBIS (Short Papers and Workshops) (2016)
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Luca Venturini
SaFe-NeC: A scalable and flexible system for network data characterization. NOMS (2016)
Elena Baralis, Luca Cagliero, Alessandro Fiori, Paolo Garza
MWI-Sum: A Multilingual Summarizer Based on Frequent Weighted Itemsets. ACM Trans. Inf. Syst. 34 (1) (2015)
Cristiana Bolchini, Luca Cassano, Paolo Garza, Elisa Quintarelli, Fabio Salice
An Expert CAD Flow for Incremental Functional Diagnosis of Complex Electronic Boards. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34 (5) (2015)
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza
Digging deep into weighted patient data through multiple-level patterns. Inf. Sci. 322 (2015)
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Pietro Michiardi, Fabio Pulvirenti
PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data. ICDM Workshops (2015)
Elena Baralis, Luca Cagliero, Paolo Garza, Luigi Grimaudo
PaWI: Parallel Weighted Itemset Mining by Means of MapReduce. BigData Congress (2015)
Luca Cagliero, Silvia Chiusano, Paolo Garza, Giulia Bruno
Pattern set mining with schema-based constraint. Knowl. Based Syst. 84 (2015)
Dario Antonelli, Elena Baralis, Giulia Bruno, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Naeem Ahmed Mahoto
MeTA: Characterization of Medical Treatments at Different Abstraction Levels. ACM Trans. Intell. Syst. Technol. 6 (4) (2015)
Daniele Apiletti, Paolo Garza, Fabio Pulvirenti
A Review of Scalable Approaches for Frequent Itemset Mining. ADBIS (Short Papers and Workshops) (2015)
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Vincenzo D'Elia, Paolo Garza
Expressive generalized itemsets. Inf. Sci. 278 (2014)
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Luigi Grimaudo, Fabio Pulvirenti
Misleading Generalized Itemset Mining in the Cloud. ISPA (2014)
Luca Cagliero, Tania Cerquitelli, Paolo Garza, Luigi Grimaudo
Misleading Generalized Itemset discovery. Expert Syst. Appl. 41 (4) (2014)
Luca Cagliero, Paolo Garza
Infrequent Weighted Itemset Mining Using Frequent Pattern Growth. IEEE Trans. Knowl. Data Eng. 26 (4) (2014)
Luca Cagliero, Tania Cerquitelli, Paolo Garza, Luigi Grimaudo
Twitter data analysis by means of Strong Flipping Generalized Itemsets. J. Syst. Softw. 94 (2014)
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Luigi Grimaudo, Fabio Pulvirenti
NEMICO: Mining Network Data through Cloud-Based Data Mining Techniques. UCC (2014)
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo, Fabio Pulvirenti, Paolo Garza
MGI-Cloud: discovery of misleading generalized itemsets. SEBD (2014)
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza
Frequent weighted itemset mining from gene expression data. BIBE (2013)
Luca Cagliero, Paolo Garza
Itemset generalization with cardinality-based constraints. Inf. Sci. 244 (2013)
Elena Baralis, Luca Cagliero, Paolo Garza
EnBay: A Novel Pattern-Based Bayesian Classifier. IEEE Trans. Knowl. Data Eng. 25 (12) (2013)
Cristiana Bolchini, Elisa Quintarelli, Fabio Salice, Paolo Garza
A data mining approach to incremental adaptive functional diagnosis. DFTS (2013)
Paolo Garza, Paolo Margara, Nicolò Nepote, Luigi Grimaudo, Elio Piccolo
Hadoop on a Low-Budget General Purpose HPC Cluster in Academia. ADBIS (2) (2013)
Luca Cagliero, Paolo Garza
Improving classification models with taxonomy information. Data Knowl. Eng. 86 (2013)
Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza
Generalized association rule mining with constraints. Inf. Sci. 194 (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Paolo Garza