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Paolo Garza

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affiliation: Polytechnic University of Turin, Italy

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2024
[j43]
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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: 110507 (2024)
[j42]
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Lorenzo Vaiani, Luca Cagliero, Paolo Garza:
Emotion Recognition from Videos Using Multimodal Large Language Models. Future Internet 16(7): 247 (2024)
[c73]
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  - conf/acl/DingVHLGPC24
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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: 15233-15244
[c72]
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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: 65-70
[c71]
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Daniele Rege Cambrin, Luca Cagliero, Paolo Garza:
DQNC2S: DQN-Based Cross-Stream Crisis Event Summarizer. ECIR (3) 2024: 422-430
[c70]
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Daniele Rege Cambrin, Giuseppe Gallipoli, Irene Benedetto, Luca Cagliero, Paolo Garza:
Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning. EMNLP (Findings) 2024: 12060-12079
[c69]
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Moreno La Quatra, Alkis Koudounas, Lorenzo Vaiani, Elena Baralis, Luca Cagliero, Paolo Garza, Sabato Marco Siniscalchi:
Benchmarking Representations for Speech, Music, and Acoustic Events. ICASSP Workshops 2024: 505-509
[c68]
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Daniele Rege Cambrin, Paolo Garza:
Paraphrase Loss for Abstractive Summarization. Tiny Papers @ ICLR 2024
[c67]
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Tailai Song, Paolo Garza, Michela Meo, Maurizio Matteo Munafò:
Throughput Prediction in Real-Time Communications: Spotlight on Traffic Extremes. ISCC 2024: 1-7
[c66]
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Tailai Song, Paolo Garza, Michela Meo, Maurizio Matteo Munafò:
Towards the Detection of Unobservable Losses in Real-Time Communications. LANMAN 2024: 21-26
[i12]
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  - journals/corr/abs-2401-06683
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Daniele Rege Cambrin, Luca Cagliero, Paolo Garza:
DQNC2S: DQN-based Cross-stream Crisis event Summarizer. CoRR abs/2401.06683 (2024)
[i11]
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  - journals/corr/abs-2401-11519
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Daniele Rege Cambrin, Luca Colomba, Paolo Garza:
CaBuAr: California Burned Areas dataset for delineation. CoRR abs/2401.11519 (2024)
[i10]
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  - journals/corr/abs-2402-09962
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Luca Colomba, Paolo Garza:
ViGEO: an Assessment of Vision GNNs in Earth Observation. CoRR abs/2402.09962 (2024)
[i9]
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  - journals/corr/abs-2402-17983
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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 abs/2402.17983 (2024)
[i8]
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  - journals/corr/abs-2403-18116
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Daniele Rege Cambrin, Paolo Garza:
QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1. CoRR abs/2403.18116 (2024)
[i7]
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  - journals/corr/abs-2405-00934
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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 abs/2405.00934 (2024)
[i6]
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  - journals/corr/abs-2407-18128
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Daniele Rege Cambrin, Isaac Corley, Paolo Garza, Peyman Najafirad:
Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking. CoRR abs/2407.18128 (2024)
[i5]
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  - journals/corr/abs-2408-04523
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Daniele Rege Cambrin, Isaac Corley, Paolo Garza:
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation. CoRR abs/2408.04523 (2024)
[i4]
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  - journals/corr/abs-2408-07040
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Daniele Rege Cambrin, Eleonora Poeta, Eliana Pastor, Tania Cerquitelli, Elena Baralis, Paolo Garza:
KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation. CoRR abs/2408.07040 (2024)
[i3]
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  - journals/corr/abs-2408-08396
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Daniele Rege Cambrin, Gabriele Scaffidi Militone, Luca Colomba, Giovanni Malnati, Daniele Apiletti, Paolo Garza:
Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment. CoRR abs/2408.08396 (2024)
[i2]
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  - journals/corr/abs-2409-13641
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Daniele Rege Cambrin, Giuseppe Gallipoli, Irene Benedetto, Luca Cagliero, Paolo Garza:
Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning. CoRR abs/2409.13641 (2024)
2023
[j41]
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  - journals/eswa/CaglieroFG23
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Luca Cagliero, Jacopo Fior, Paolo Garza:
Shortlisting machine learning-based stock trading recommendations using candlestick pattern recognition. Expert Syst. Appl. 216: 119493 (2023)
[j40]
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  - journals/tkde/ColombaCG23
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Luca Colomba, Luca Cagliero, Paolo Garza:
Density-Based Clustering by Means of Bridge Point Identification. IEEE Trans. Knowl. Data Eng. 35(11): 11274-11287 (2023)
[c65]
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  - conf/icdm/ColombaG23
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Luca Colomba, Paolo Garza:
ViGEO: an Assessment of Vision GNNs in Earth Observation. ICDM (Workshops) 2023: 816-822
[c64]
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  - conf/sebd/AvignoneCFGM23
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Andrea Avignone, Silvia Chiusano, Alessandro Fiori, Paolo Garza, Emanuele Marchetta:
A Novel DB CASE Tool for Relational Databases. SEBD 2023: 100
[c63]
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  - conf/semeval/VaianiCG23
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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: 1447-1453
2022
[j39]
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  - journals/cn/PernaMTGMM22
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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: 108637 (2022)
[j38]
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  - journals/fi/FiorCG22
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Jacopo Fior, Luca Cagliero, Paolo Garza:
Leveraging Explainable AI to Support Cryptocurrency Investors. Future Internet 14(9): 251 (2022)
[j37]
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  - journals/tits/DaraioCCG22
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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): 21216-21227 (2022)
[j36]
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  - journals/tnsm/PernaMTGMMC22
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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): 4676-4690 (2022)
[c62]
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  - conf/cikm/ColombaFMGGABC22
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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: 3893-3897
[c61]
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  - conf/gis/ColombaCG22
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Luca Colomba, Luca Cagliero, Paolo Garza:
Mining spatiotemporally invariant patterns. SIGSPATIAL/GIS 2022: 63:1-63:4
[c60]
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  - conf/mm/VaianiQCG22
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Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza:
ViPER: Video-based Perceiver for Emotion Recognition. MuSe @ ACM Multimedia 2022: 67-73
[c59]
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  - conf/mm/VaianiKQCGB22
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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: 89-94
[c58]
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  - conf/mm/QuatraVKCGB22
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Moreno La Quatra, Lorenzo Vaiani, Alkis Koudounas, Luca Cagliero, Paolo Garza, Elena Baralis:
How Much Attention Should we Pay to Mosquitoes? ACM Multimedia 2022: 7135-7139
[c57]
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  - conf/pkdd/CambrinCG22
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Daniele Rege Cambrin, Luca Colomba, Paolo Garza:
Vision Transformers for Burned Area Delineation. MACLEAN@PKDD/ECML 2022
[c56]
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  - conf/sac/VaianiQCG22
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Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza:
Leveraging multimodal content for podcast summarization. SAC 2022: 863-870
[d1]
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  - data/10/ColombaFMGGABC22
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Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli:
Satellite Burned Area Dataset. Zenodo, 2022
2021
[j35]
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  - journals/sigmetrics/MarkudovaTGMMC21
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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): 41-44 (2021)
[j34]
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Luca Cagliero, Paolo Garza, Andrea Pasini, Elena Baralis:
Additional Reviewer Assignment by Means of Weighted Association Rules. IEEE Trans. Emerg. Top. Comput. 9(1): 329-341 (2021)
[c55]
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Luca Cagliero, Moreno La Quatra, Paolo Garza, Elena Baralis:
Cross-lingual timeline summarization. AIKE 2021: 45-53
[c54]
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  - conf/ccnc/PernaMTGMMC21
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Gianluca Perna, Dena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio M. Munafò, Giovanna Carofiglio:
Online Classification of RTC Traffic. CCNC 2021: 1-6
[c53]
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  - conf/edbt/MonacoPACFGB21
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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
[c52]
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  - conf/icde/CorainGA21
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Matteo Corain, Paolo Garza, Abolfazl Asudeh:
DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets. ICDE 2021: 37-48
[c51]
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Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza:
PoliTO at TREC 2021 Podcast Summarization Track. TREC 2021
2020
[j33]
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  - journals/computing/CaglieroGAB20
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Luca Cagliero, Paolo Garza, Giuseppe Attanasio, Elena Baralis:
Training ensembles of faceted classification models for quantitative stock trading. Computing 102(5): 1213-1225 (2020)
[j32]
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  - journals/ijmir/KavoosifarABGH20
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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): 215-227 (2020)
[c50]
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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: 5786-5788
[c49]
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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: 133-142
[c48]
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Flavio Giobergia, Luca Cagliero, Paolo Garza, Elena Baralis:
Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment. EDBT/ICDT Workshops 2020
[c47]
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  - conf/kes/DaraioCCGR20
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Elena Daraio, Luca Cagliero, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero:
An explainable data-driven approach to web directory taxonomy mapping. KES 2020: 1101-1110
[c46]
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  - conf/sigmod/FiorCG20
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Jacopo Fior, Luca Cagliero, Paolo Garza:
Price series cross-correlation analysis to enhance the diversification of itemset-based stock portfolios. DSMM@SIGMOD 2020: 1:1-1:6
[c45]
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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: 165-172

2010 – 2019

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2019
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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): 21:1-21:33 (2019)
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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: 72-76
[c43]
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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
[c42]
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Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis:
Combining News Sentiment and Technical Analysis to Predict Stock Trend Reversal. ICDM Workshops 2019: 514-521
[c41]
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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
[c40]
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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
[c39]
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Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis:
Quantitative cryptocurrency trading: exploring the use of machine learning techniques. DSMM@SIGMOD 2019: 1:1-1:6
2018
[j30]
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Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Antonio Attanasio:
Characterizing unpredictable patterns in Wireless Sensor Network data. Inf. Sci. 467: 149-162 (2018)
[j29]
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Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis:
Discovering cross-topic collaborations among researchers by exploiting weighted association rules. Scientometrics 116(2): 1273-1301 (2018)
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Elena Baralis, Paolo Garza, Eliana Pastor:
A Density-based Preprocessing Technique to Scale Out Clustering. IEEE BigData 2018: 2078-2087
[c37]
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Luca Cagliero, Paolo Garza:
Study of the Applicability of an Itemset-Based Portfolio Planner in a Multi-Market Context. EDBT/ICDT Workshops 2018: 50-55
[c36]
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Alessandro Farasin, Paolo Garza:
PERCEIVE: Precipitation Data Characterization by means on Frequent Spatio-Temporal Sequences. ISCRAM 2018
[c35]
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Laura Lopez-Fuentes, Alessandro Farasin, Harald Skinnemoen, Paolo Garza:
Deep Learning Models for Passability Detection of Flooded Roads. MediaEval 2018
[i1]
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Luca Venturini, Elena Baralis, Paolo Garza:
Scaling associative classification for very large datasets. CoRR abs/1805.03887 (2018)
2017
[j28]
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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: 67-83 (2017)
[j27]
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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: 53-69 (2017)
[j26]
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Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Xin Xiao:
Predicting critical conditions in bicycle sharing systems. Computing 99(1): 39-57 (2017)
[j25]
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Elena Baralis, Luca Cagliero, Paolo Garza:
Planning stock portfolios by means of weighted frequent itemsets. Expert Syst. Appl. 86: 1-17 (2017)
[j24]
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Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti:
Discovering profitable stocks for intraday trading. Inf. Sci. 405: 91-106 (2017)
[j23]
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Luca Venturini, Elena Baralis, Paolo Garza:
Scaling associative classification for very large datasets. J. Big Data 4: 44 (2017)
[c34]
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Luca Cagliero, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero:
Discovering High-Utility Itemsets at Multiple Abstraction Levels. ADBIS (Short Papers and Workshops) 2017: 224-234
[c33]
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Elena Baralis, Andrea Dalla Valle, Paolo Garza, Claudio Rossi, Francesco Scullino:
SQL versus NoSQL databases for geospatial applications. IEEE BigData 2017: 3388-3397
[c32]
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Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis:
Identifying Collaborations among Researchers: a pattern-based approach. BIRNDL@SIGIR (1) 2017: 56-68
[c31]
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Benoit Huet, Elena Baralis, Paolo Garza, Mohammad Reza Kavoosifar:
Eurecom-Polito at TRECVID 2017: Hyperlinking task. TRECVID 2017
2016
[j22]
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Devis Bianchini, Paolo Garza, Elisa Quintarelli:
Characterization and search of web services through intensional knowledge. J. Intell. Inf. Syst. 47(3): 375-401 (2016)
[j21]
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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): 696-710 (2016)
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Paolo Garza, Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca:
Reducing Big Data by Means of Context-Aware Tailoring. ADBIS (Short Papers and Workshops) 2016: 115-127
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Luca Venturini, Paolo Garza, Daniele Apiletti:
BAC: A Bagged Associative Classifier for Big Data Frameworks. ADBIS (Short Papers and Workshops) 2016: 137-146
[c28]
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Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero:
Discovering air quality patterns in urban environments. UbiComp Adjunct 2016: 25-28
[c27]
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Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Mohammad Reza Kavoosifar:
Analyzing air pollution on the urban environment. MIPRO 2016: 1464-1469
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Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Luca Venturini:
SaFe-NeC: A scalable and flexible system for network data characterization. NOMS 2016: 812-816
[c25]
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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: 1-6
[c24]
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Benoit Huet, Elena Baralis, Paolo Garza, Mohammad Reza Kavoosifar:
Eurecom-Polito at TRECVID 2016: Hyperlinking Tasks. TRECVID 2016
2015
[j20]
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Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza:
Digging deep into weighted patient data through multiple-level patterns. Inf. Sci. 322: 51-71 (2015)
[j19]
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Luca Cagliero, Silvia Chiusano, Paolo Garza, Giulia Bruno:
Pattern set mining with schema-based constraint. Knowl. Based Syst. 84: 224-238 (2015)
[j18]
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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): 835-848 (2015)
[j17]
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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): 57:1-57:25 (2015)
[j16]
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Elena Baralis, Luca Cagliero, Alessandro Fiori, Paolo Garza:
MWI-Sum: A Multilingual Summarizer Based on Frequent Weighted Itemsets. ACM Trans. Inf. Syst. 34(1): 5:1-5:35 (2015)
[c23]
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Daniele Apiletti, Paolo Garza, Fabio Pulvirenti:
A Review of Scalable Approaches for Frequent Itemset Mining. ADBIS (Short Papers and Workshops) 2015: 243-247
[c22]
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Elena Baralis, Luca Cagliero, Paolo Garza, Luigi Grimaudo:
PaWI: Parallel Weighted Itemset Mining by Means of MapReduce. BigData Congress 2015: 25-32
[c21]
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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: 839-846
2014
[j15]
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Luca Cagliero, Tania Cerquitelli, Paolo Garza, Luigi Grimaudo:
Misleading Generalized Itemset discovery. Expert Syst. Appl. 41(4): 1400-1410 (2014)
[j14]
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Elena Baralis, Luca Cagliero, Tania Cerquitelli, Vincenzo D'Elia, Paolo Garza:
Expressive generalized itemsets. Inf. Sci. 278: 327-343 (2014)
[j13]
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Luca Cagliero, Tania Cerquitelli, Paolo Garza, Luigi Grimaudo:
Twitter data analysis by means of Strong Flipping Generalized Itemsets. J. Syst. Softw. 94: 16-29 (2014)
[j12]
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Luca Cagliero, Paolo Garza:
Infrequent Weighted Itemset Mining Using Frequent Pattern Growth. IEEE Trans. Knowl. Data Eng. 26(4): 903-915 (2014)
[c20]
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Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Luigi Grimaudo, Fabio Pulvirenti:
Misleading Generalized Itemset Mining in the Cloud. ISPA 2014: 211-216
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Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo, Fabio Pulvirenti, Paolo Garza:
MGI-Cloud: discovery of misleading generalized itemsets. SEBD 2014: 45-52
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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: 503-504
2013
[j11]
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Luca Cagliero, Paolo Garza:
Improving classification models with taxonomy information. Data Knowl. Eng. 86: 85-101 (2013)
[j10]
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Luca Cagliero, Paolo Garza:
Itemset generalization with cardinality-based constraints. Inf. Sci. 244: 161-174 (2013)
[j9]
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Elena Baralis, Luca Cagliero, Paolo Garza:
EnBay: A Novel Pattern-Based Bayesian Classifier. IEEE Trans. Knowl. Data Eng. 25(12): 2780-2795 (2013)
[c17]
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Paolo Garza, Paolo Margara, Nicolò Nepote, Luigi Grimaudo, Elio Piccolo:
Hadoop on a Low-Budget General Purpose HPC Cluster in Academia. ADBIS (2) 2013: 187-192
[c16]
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Elena Baralis, Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza:
Frequent weighted itemset mining from gene expression data. BIBE 2013: 1-4
[c15]
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Cristiana Bolchini, Elisa Quintarelli, Fabio Salice, Paolo Garza:
A data mining approach to incremental adaptive functional diagnosis. DFTS 2013: 13-18
2012
[j8]
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Elena Baralis, Paolo Garza:
I-prune: Item selection for associative classification. Int. J. Intell. Syst. 27(3): 279-299 (2012)
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Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza:
Generalized association rule mining with constraints. Inf. Sci. 194: 68-84 (2012)
2011
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Luca Cagliero, Tania Cerquitelli, Paolo Garza:
Semi-Automatic Ontology Construction by Exploiting Functional Dependencies and Association Rules. Int. J. Semantic Web Inf. Syst. 7(2): 1-22 (2011)
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Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Marco Marchetti:
CAS-Mine: providing personalized services in context-aware applications by means of generalized rules. Knowl. Inf. Syst. 28(2): 283-310 (2011)
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Paolo Garza:
Structured data classification by means of matrix factorization. CIKM 2011: 2165-2168
2010
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Giulia Bruno, Paolo Garza:
TOD: Temporal outlier detection by using quasi-functional temporal dependencies. Data Knowl. Eng. 69(6): 619-639 (2010)
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Elena Baralis, Luca Cagliero, Tania Cerquitelli, Vincenzo D'Elia, Paolo Garza:
Support driven opportunistic aggregation for generalized itemset extraction. IEEE Conf. of Intelligent Systems 2010: 102-107

2000 – 2009

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2009
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Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Marco Marchetti:
Context-Aware User and Service Profiling by Means of Generalized Association Rules. KES (2) 2009: 50-57
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Elena Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Marco Marchetti:
Generalized Association Rules to Support Context-aware User and Service Profiling. SEBD 2009: 101-108
2008
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Elena Baralis, Silvia Chiusano, Paolo Garza:
A Lazy Approach to Associative Classification. IEEE Trans. Knowl. Data Eng. 20(2): 156-171 (2008)
2007
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Giulia Bruno, Paolo Garza, Elisa Quintarelli, Rosalba Rossato:
Anomaly detection through quasi-functional dependency analysis. J. Digit. Inf. Manag. 5(4): 191-200 (2007)
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Elena Baralis, Paolo Garza, Elisa Quintarelli, Letizia Tanca:
Answering XML queries by means of data summaries. ACM Trans. Inf. Syst. 25(3): 10 (2007)
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Giulia Bruno, Paolo Garza, Elisa Quintarelli, Rosalba Rossato:
Anomaly Detection in XML databases by means of Association Rules. DEXA Workshops 2007: 387-391
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Giulia Bruno, Paolo Garza, Elisa Quintarelli, Rosalba Rossato:
RADAR: Research of Anomalous Data through Association Rules. SEBD 2007: 290-297
2006
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Elena Baralis, Paolo Garza:
Associative text categorization exploiting negated words. SAC 2006: 530-535
2005
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Paolo Garza:
Associative classification algorithms. Polytechnic University of Turin, Italy, 2005
2004
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Elena Baralis, Paolo Garza, Elisa Quintarelli, Letizia Tanca:
Summarizing XML Data by Means of Association Rules. EDBT Workshops 2004: 260-269
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Elena Baralis, Silvia Chiusano, Paolo Garza:
On support thresholds in associative classification. SAC 2004: 553-558
[c5]
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Elena Baralis, Paolo Garza, Elisa Quintarelli, Letizia Tanca:
Answering Queries on XML Data by means of Association Rules. SEBD 2004: 262-269
2003
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Carla-Fabiana Chiasserini, Marco Ajmone Marsan, Elena Baralis, Paolo Garza:
Towards Feasible Topology Formation Algorithms for Bluetooth-based WPANs. HICSS 2003: 313
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Elena Baralis, Paolo Garza:
Majority Classification by Means of Association Rules. PKDD 2003: 35-46
2002
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Elena Baralis, Paolo Garza:
A Lazy Approach to Pruning Classification Rules. ICDM 2002: 35-42
[c1]
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Elena Baralis, Paolo Garza:
Accurate Classification by means of Association Rules. SEBD 2002: 273-280

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