GARZA, PAOLO

GARZA, PAOLO  

Dipartimento di Automatica e Informatica  

004581  

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Risultati 1 - 20 di 137 (tempo di esecuzione: 0.043 secondi).
Citazione Data di pubblicazione Autori File
Benchmarking Representations for Speech, Music, and Acoustic Events / LA QUATRA, Moreno; Koudounas, Alkis; Vaiani, Lorenzo; Baralis, Elena; Cagliero, Luca; Garza, Paolo; Marco Siniscalchi, Sabato. - (In corso di stampa). (Intervento presentato al convegno ICASSP 2024). In corso di stampa Moreno La QuatraAlkis KoudounasLorenzo VaianiElena BaralisLuca CaglieroPaolo Garza + 2405.00934v1.pdf
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation / REGE CAMBRIN, Daniele; Corley, Isaac; Garza, Paolo. - (In corso di stampa). (Intervento presentato al convegno European Conference on Computer Vision). In corso di stampa Daniele Rege CambrinPaolo Garza + ECCV_2024_CV4E.pdf
Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking / REGE CAMBRIN, Daniele; Corley, Isaac; Garza, Paolo; Najafirad, Peyman. - (In corso di stampa). (Intervento presentato al convegno European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases). In corso di stampa Daniele Rege CambrinPaolo Garza + ECML_PKDD_MACLEAN_2024_Estimating_Earthquake_Magnitude_in_Sentinel_1_Imagery_via_Ranking.pdf
KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation / REGE CAMBRIN, Daniele; Poeta, Eleonora; Pastor, Eliana; Cerquitelli, Tania; Baralis, Elena; Garza, Paolo. - (In corso di stampa). (Intervento presentato al convegno European Conference on Computer Vision). In corso di stampa Daniele Rege CambrinEleonora PoetaEliana PastorTania CerquitelliElena BaralisPaolo Garza ECCV_2024_CVPPA.pdf
Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment / REGE CAMBRIN, Daniele; SCAFFIDI MILITONE, Gabriele; Colomba, Luca; Malnati, Giovanni; Apiletti, Daniele; Garza, Paolo. - ELETTRONICO. - (In corso di stampa). (Intervento presentato al convegno CV2: Computer Vision for Videogames Workshop at ECCV2024 tenutosi a Milano (Italy) nel 29/09/2024). In corso di stampa Daniele Rege CambrinGabriele Scaffidi MilitoneLuca ColombaGiovanni MalnatiDaniele ApilettiPaolo Garza ECCV2024_CV2_arxiv.pdf
3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding / Ding, Yihao; Vaiani, Lorenzo; Han, Caren; Lee, Jean; Garza, Paolo; Poon, Josiah; Cagliero, Luca. - (2024), pp. 15233-15244. (Intervento presentato al convegno Association for Computational Linguistics 2024 tenutosi a Bangkok, Thailand and virtual meeting nel August 11-16, 2024). 1-gen-2024 Lorenzo VaianiPaolo GarzaLuca Cagliero + 2402.17983v2.pdf2024.findings-acl.903.pdf
BitFormer: Transformer-Based Neural Network for Bitrate Prediction in Real-Time Communications / Song, Tailai; Perna, Gianluca; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo. - ELETTRONICO. - (2024), pp. 65-70. (Intervento presentato al convegno 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC) tenutosi a Las Vegas, NV, USA nel 06 Jan 2024 - 09 Jan 2024) [10.1109/ccnc51664.2024.10454679]. 1-gen-2024 Song, TailaiPerna, GianlucaGarza, PaoloMeo, MichelaMunafo, Maurizio Matteo BitFormer_Transformer-Based_Neural_Network_for_Bitrate_Prediction_in_Real-Time_Communications.pdfBitrate_prediction.pdf
DeX: Deep learning-based throughput prediction for real-time communications with emphasis on traffic eXtremes / Song, Tailai; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo. - In: COMPUTER NETWORKS. - ISSN 1389-1286. - ELETTRONICO. - 249:(2024), p. 110507. [10.1016/j.comnet.2024.110507] 1-gen-2024 Song, TailaiGarza, PaoloMeo, MichelaMunafo, Maurizio Matteo 1-s2.0-S1389128624003396-main.pdfThroughput_prediction_ComNet_final.pdf
DQNC2S: DQN-based Cross-stream Crisis event Summarizer / Rege Cambrin, Daniele; Cagliero, Luca; Garza, Paolo. - 14610:(2024), pp. 422-430. (Intervento presentato al convegno 46th European Conference on Information Retrieval. ECIR 2024 tenutosi a Glasgow (UK) nel March 24–28, 2024) [10.1007/978-3-031-56063-7_34]. 1-gen-2024 Rege Cambrin, DanieleCagliero, LucaGarza, Paolo ECIR2024.pdf978-3-031-56063-7_34.pdf
Emotion Recognition from Videos Using Multimodal Large Language Models / Vaiani, Lorenzo; Cagliero, Luca; Garza, Paolo. - In: FUTURE INTERNET. - ISSN 1999-5903. - 16:7(2024). [10.3390/fi16070247] 1-gen-2024 Lorenzo VaianiLuca CaglieroPaolo Garza futureinternet-16-00247-v2.pdf
Paraphrase Loss for Abstractive Summarization / REGE CAMBRIN, Daniele; Garza, Paolo. - (2024). (Intervento presentato al convegno International Conference on Learning Representations tenutosi a Vienna (AUT) nel May 11, 2024). 1-gen-2024 Daniele Rege CambrinPaolo Garza 53_Paraphrase_Loss_for_Abstrac.pdf
QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1 / Rege Cambrin, Daniele; Garza, Paolo. - 21:(2024). (Intervento presentato al convegno Information Systems for Crisis Response and Management Conference tenutosi a Münster (DEU) nel May 25-29, 2024). 1-gen-2024 Rege Cambrin, DanieleGarza, Paolo ISCRAM2024.pdf
Towards the Detection of Unobservable Losses in Real-Time Communications / Song, Tailai; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo. - ELETTRONICO. - (2024), pp. 21-26. (Intervento presentato al convegno 2024 IEEE 30th International Symposium on Local and Metropolitan Area Networks (LANMAN) tenutosi a Boston, USA nel 10 July 2024 - 11 July 2024) [10.1109/lanman61958.2024.10621889]. 1-gen-2024 Song, TailaiGarza, PaoloMeo, MichelaMunafo, Maurizio Matteo Identification_of_unobservable_loss.pdfTowards_the_Detection_of_Unobservable_Losses_in_Real-Time_Communications.pdf
A Model-based Curriculum Learning Strategy for Training SegFormer / Rege Cambrin, Daniele; Apiletti, Daniele; Garza, Paolo. - (2023), pp. 1-6. (Intervento presentato al convegno IEEE 17th International Conference Application of Information and Communication Technologies tenutosi a Baku (AZ) nel 18-20 October 2023) [10.1109/AICT59525.2023.10313143]. 1-gen-2023 Rege Cambrin, DanieleApiletti, DanieleGarza, Paolo aict.pdfA_Model-based_Curriculum_Learning_Strategy_for_Training_SegFormer.pdf
A Novel DB CASE Tool for Relational Databases / Avignone, Andrea; Chiusano, Silvia; Fiori, Alessandro; Garza, Paolo; Marchetta, Emanuele. - ELETTRONICO. - 3478:(2023), pp. 100-100. (Intervento presentato al convegno SEBD 2023: 31st Symposium on Advanced Database System tenutosi a Galzignano Terme, Italy nel July 02–05, 2023). 1-gen-2023 Avignone, AndreaChiusano, SilviaFiori, AlessandroGarza, PaoloMarchetta, Emanuele paper87.pdf
CaBuAr: California burned areas dataset for delineation [Software and Data Sets] / Rege Cambrin, Daniele; Colomba, Luca; Garza, Paolo. - In: IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE. - ISSN 2168-6831. - 11:3(2023), pp. 106-113. [10.1109/MGRS.2023.3292467] 1-gen-2023 Rege Cambrin, DanieleColomba, LucaGarza, Paolo MGRS3292467.pdfCaBuAr_California_burned_areas_dataset_for_delineation_Software_and_Data_Sets.pdf
Density-based Clustering by Means of Bridge Point Identification / Colomba, Luca; Cagliero, Luca; Garza, Paolo. - In: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. - ISSN 1041-4347. - 35:11(2023), pp. 11274-11287. [10.1109/TKDE.2022.3232315] 1-gen-2023 Colomba, LucaCagliero, LucaGarza, Paolo TKDE_OA.pdfDensity-Based_Clustering_by_Means_of_Bridge_Point_Identification.pdf
Extractive Conversation Summarization Driven by Textual Entailment Prediction / Gallipoli, Giuseppe; Cagliero, Luca; Garza, Paolo. - ELETTRONICO. - (2023), pp. 1-6. (Intervento presentato al convegno 2023 IEEE 17th International Conference on Application of Information and Communication Technologies (AICT) tenutosi a Baku (AZ) nel 18-20 October 2023) [10.1109/AICT59525.2023.10313192]. 1-gen-2023 Gallipoli, GiuseppeCagliero, LucaGarza, Paolo Extractive Conversation Summarization Driven by Textual Entailment Prediction.pdfExtractive_Conversation_Summarization_Driven_by_Textual_Entailment_Prediction.pdf
PoliTo at SemEval-2023 Task 1: CLIP-based Visual-Word Sense Disambiguation Based on Back-Translation / Vaiani, Lorenzo; Cagliero, Luca; Garza, Paolo. - ELETTRONICO. - (2023), pp. 1447-1453. (Intervento presentato al convegno SemEval-2023 (Workshop of ACL) tenutosi a Toronto (CAN) nel July 9–14, 2023) [10.18653/v1/2023.semeval-1.199]. 1-gen-2023 Lorenzo VaianiLuca CaglieroPaolo Garza 2023.semeval-1.199.pdf
Shortlisting machine learning-based stock trading recommendations using candlestick pattern recognition / Cagliero, L; Fior, J; Garza, P. - In: EXPERT SYSTEMS WITH APPLICATIONS. - ISSN 0957-4174. - 216:(2023). [10.1016/j.eswa.2022.119493] 1-gen-2023 Cagliero, LFior, JGarza, P 1-s2.0-S095741742202512X-main.pdf