GARZA, PAOLO

GARZA, PAOLO  

Dipartimento di Automatica e Informatica  

004581  

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Risultati 1 - 20 di 147 (tempo di esecuzione: 0.016 secondi).
Citazione Data di pubblicazione Autori File
- 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
- In corso di stampa Daniele Rege CambrinEleonora PoetaEliana PastorTania CerquitelliElena BaralisPaolo Garza ECCV_2024_CVPPA.pdf
- In corso di stampa Daniele Rege CambrinGabriele Scaffidi MilitoneLuca ColombaGiovanni MalnatiDaniele ApilettiPaolo Garza ECCV2024_CV2_arxiv.pdf
Magnifier: A Multigrained Neural Network-Based Architecture for Burned Area Delineation / Cambrin, Daniele Rege; Colomba, Luca; Garza, Paolo. - In: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. - ISSN 1939-1404. - 18:(2025), pp. 12263-12277. [10.1109/jstars.2025.3565819] 1-gen-2025 Cambrin, Daniele RegeColomba, LucaGarza, Paolo -
Multi Stage Retrieval for Web Search During Crisis / Tcaciuc, Claudiu Constantin; Rege Cambrin, Daniele; Garza, Paolo. - In: FUTURE INTERNET. - ISSN 1999-5903. - 17:6(2025). [10.3390/fi17060239] 1-gen-2025 Tcaciuc, Claudiu ConstantinRege Cambrin, DanieleGarza, Paolo -
Packet Loss in Real-Time Communications: Can ML Tame its Unpredictable Nature? / Song, Tailai; Perna, Gianluca; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo. - In: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT. - ISSN 1932-4537. - ELETTRONICO. - 22:1(2025), pp. 72-91. [10.1109/tnsm.2024.3442616] 1-gen-2025 Song, TailaiPerna, GianlucaGarza, PaoloMeo, MichelaMunafo, Maurizio Matteo Packet_Loss_in_Real-Time_Communications_Can_ML_Tame_Its_Unpredictable_Nature.pdfPacket_Loss_in_Real-Time_Communications_Can_ML_Tame_its_Unpredictable_Nature.pdf
Turin3D: Evaluating adaptation strategies under label scarcity in urban LiDAR segmentation with semi-supervised techniques / Barco, Luca; Blanco, Giacomo; Chiriaco, Gaetano; Intini, Alessia; La Riccia, Luigi; Scolamiero, Vittorio; Boccardo, Piero; Garza, Paolo; Dominici, Fabrizio. - ELETTRONICO. - Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops, 2025:(2025), pp. 2027-2035. (Intervento presentato al convegno Computer Vision and Pattern Recognition Conference (CVPR) Workshops 2025 tenutosi a Nashville (USA) nel 11/06/2025). 1-gen-2025 Barco, LucaBlanco, GiacomoLa Riccia, LuigiScolamiero, VittorioBoccardo, PieroGarza, PaoloDominici, Fabrizio + -
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
Benchmarking Representations for Speech, Music, and Acoustic Events / LA QUATRA, Moreno; Koudounas, Alkis; Vaiani, Lorenzo; Baralis, Elena; Cagliero, Luca; Garza, Paolo; Marco Siniscalchi, Sabato. - (2024), pp. 505-509. (Intervento presentato al convegno 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) tenutosi a Seoul (KOR) nel 14-19 April 2024) [10.1109/ICASSPW62465.2024.10625960]. 1-gen-2024 Moreno La QuatraAlkis KoudounasLorenzo VaianiElena BaralisLuca CaglieroPaolo Garza + 2405.00934v1.pdfBenchmarking_Representations_for_Speech_Music_and_Acoustic_Events.pdf
Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning / Rege Cambrin, Daniele; Gallipoli, Giuseppe; Benedetto, Irene; Cagliero, Luca; Garza, Paolo. - (2024), pp. 12060-12079. (Intervento presentato al convegno The 2024 Conference on Empirical Methods in Natural Language Processing tenutosi a Miami, Florida nel November 12 –16, 2024) [10.18653/v1/2024.findings-emnlp.704]. 1-gen-2024 Rege Cambrin, DanieleGallipoli, GiuseppeBenedetto, IreneCagliero, LucaGarza, Paolo 2024.findings-emnlp.704.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
Designing the Operator of the Future: The Architecture of Human Digital Twin Systems / Battini, Daria; Berti, Nicola; Cella, Christian; Faroni, Marco; Garza, Paolo; Guidolin, Mattia; Moos, Sandro; Olivetti, Elena Carlotta; Reggiani, Monica; Sardini, Emilio; Tonello, Sarah. - In: IFAC PAPERSONLINE. - ISSN 2405-8971. - ELETTRONICO. - 58:(2024), pp. 355-360. (Intervento presentato al convegno 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024 tenutosi a Vienna (AUT) nel August 28-30, 2024) [10.1016/j.ifacol.2024.09.237]. 1-gen-2024 Garza, PaoloMoos, SandroOlivetti, Elena Carlotta + 1-s2.0-S2405896324016665-main.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
Ground-Based Contrail Detection by Means of Computer Vision Models: A Comparison Between Visible and Infrared Images / Pertino, Paolo; Pavarino, Leonardo; Lomolino, Simone; Miotto, Enrico; Cambrin, Daniele Rege; Garza, Paolo; Ogliari, Emanuele. - (2024), pp. 254-259. (Intervento presentato al convegno 8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024 tenutosi a Politecnico di Milano - Polo Territoriale di Lecco, ita nel 2024) [10.1109/rtsi61910.2024.10761667]. 1-gen-2024 Pavarino, LeonardoMiotto, EnricoCambrin, Daniele RegeGarza, Paolo + -
Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications / Song, Tailai; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo. - ELETTRONICO. - (2024), pp. 63-70. (Intervento presentato al convegno 26th International Symposium on Multimedia tenutosi a Tokyo (JP) nel 11-13 December 2024) [10.1109/ism63611.2024.00015]. 1-gen-2024 Song, TailaiGarza, PaoloMeo, MichelaMunafo, Maurizio Matteo Multi_task_learning_for_QoS_prediction.pdfModelling_Concurrent_RTP_Flows_for_End-to-end_Predictions_of_QoS_in_Real_Time_Communications.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