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Unusual kinematics of the Papatea fault (2016 Kaikōura earthquake) suggest anelastic rupture.

Science advances

Diederichs A, Nissen EK, Lajoie LJ, Langridge RM, Malireddi SR, Clark KJ, Hamling IJ, Tagliasacchi A.
PMID: 31616791
Sci Adv. 2019 Oct 02;5(10):eaax5703. doi: 10.1126/sciadv.aax5703. eCollection 2019 Oct.

A key paradigm in seismology is that earthquakes release elastic strain energy accumulated during an interseismic period on approximately planar faults. Earthquake slip models may be further informed by empirical relations such as slip to length. Here, we use...

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Diederichs A, Nissen EK, Lajoie LJ, et al. Unusual kinematics of the Papatea fault (2016 Kaikōura earthquake) suggest anelastic rupture. Sci Adv. 2019;5(10):eaax5703doi: 10.1126/sciadv.aax5703.
Diederichs, A., Nissen, E. K., Lajoie, L. J., Langridge, R. M., Malireddi, S. R., Clark, K. J., Hamling, I. J., & Tagliasacchi, A. (2019). Unusual kinematics of the Papatea fault (2016 Kaikōura earthquake) suggest anelastic rupture. Science advances, 5(10), eaax5703. https://doi.org/10.1126/sciadv.aax5703
Diederichs, A, et al. "Unusual kinematics of the Papatea fault (2016 Kaikōura earthquake) suggest anelastic rupture." Science advances vol. 5,10 (2019): eaax5703. doi: https://doi.org/10.1126/sciadv.aax5703
Diederichs A, Nissen EK, Lajoie LJ, Langridge RM, Malireddi SR, Clark KJ, Hamling IJ, Tagliasacchi A. Unusual kinematics of the Papatea fault (2016 Kaikōura earthquake) suggest anelastic rupture. Sci Adv. 2019 Oct 02;5(10):eaax5703. doi: 10.1126/sciadv.aax5703. eCollection 2019 Oct. PMID: 31616791; PMCID: PMC6774718.
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Codec and GOP Identification in Double Compressed Videos.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Bestagini P, Milani S, Tagliasacchi M, Tubaro S.
PMID: 26992023
IEEE Trans Image Process. 2016 May;25(5):2298-310. doi: 10.1109/TIP.2016.2541960.

Video content is routinely acquired and distributed in a digital compressed format. In many cases, the same video content is encoded multiple times. This is the typical scenario that arises when a video, originally encoded directly by the acquisition...

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Bestagini P, Milani S, Tagliasacchi M, et al. Codec and GOP Identification in Double Compressed Videos. IEEE Trans Image Process. 2016;25(5):2298-310doi: 10.1109/TIP.2016.2541960.
Bestagini, P., Milani, S., Tagliasacchi, M., & Tubaro, S. (2016). Codec and GOP Identification in Double Compressed Videos. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 25(5), 2298-310. https://doi.org/10.1109/TIP.2016.2541960
Bestagini, Paolo, et al. "Codec and GOP Identification in Double Compressed Videos." IEEE transactions on image processing : a publication of the IEEE Signal Processing Society vol. 25,5 (2016): 2298-310. doi: https://doi.org/10.1109/TIP.2016.2541960
Bestagini P, Milani S, Tagliasacchi M, Tubaro S. Codec and GOP Identification in Double Compressed Videos. IEEE Trans Image Process. 2016 May;25(5):2298-310. doi: 10.1109/TIP.2016.2541960. PMID: 26992023.
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Hash-based identification of sparse image tampering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Tagliasacchi M, Valenzise G, Tubaro S.
PMID: 19635704
IEEE Trans Image Process. 2009 Nov;18(11):2491-504. doi: 10.1109/TIP.2009.2028251. Epub 2009 Jul 24.

In the last decade, the increased possibility to produce, edit, and disseminate multimedia contents has not been adequately balanced by similar advances in protecting these contents from unauthorized diffusion of forged copies. When the goal is to detect whether...

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Tagliasacchi M, Valenzise G, Tubaro S. Hash-based identification of sparse image tampering. IEEE Trans Image Process. 2009;18(11):2491-504doi: 10.1109/TIP.2009.2028251.
Tagliasacchi, M., Valenzise, G., & Tubaro, S. (2009). Hash-based identification of sparse image tampering. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 18(11), 2491-504. https://doi.org/10.1109/TIP.2009.2028251
Tagliasacchi, Marco, et al. "Hash-based identification of sparse image tampering." IEEE transactions on image processing : a publication of the IEEE Signal Processing Society vol. 18,11 (2009): 2491-504. doi: https://doi.org/10.1109/TIP.2009.2028251
Tagliasacchi M, Valenzise G, Tubaro S. Hash-based identification of sparse image tampering. IEEE Trans Image Process. 2009 Nov;18(11):2491-504. doi: 10.1109/TIP.2009.2028251. Epub 2009 Jul 24. PMID: 19635704.
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[Skills tracing and activation of multi-professional teams in response to COVID-19 pandemic].

Igiene e sanita pubblica

Porfido E, Giuliani P, Dell'Acqua M, Passaretta M, Rabbufetti G, Salzillo A, Gelmi R, Tagliasacchi R, Francioli M, Colombai R, Totaro M, Baggiani A.
PMID: 34314406
Ig Sanita Pubbl. 2021 Mar-Apr;77(2):447-458.

The rapid spread of Covid-19 epidemic led to a change in the organizational strategies of all Italian healthcare facilities. From January 31, 2020 (starting date of the state of national health emergency) Asst Valle Olona has prepared a reorganization...

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Porfido E, Giuliani P, Dell'Acqua M, et al. Mappatura delle competenze ed attivazione di equipe multi professionali in risposta ad emergenza pandemica COVID-19. [Skills tracing and activation of multi-professional teams in response to COVID-19 pandemic]. Ig Sanita Pubbl. 2021;77(2):447-458
Porfido, E., Giuliani, P., Dell'Acqua, M., Passaretta, M., Rabbufetti, G., Salzillo, A., Gelmi, R., Tagliasacchi, R., Francioli, M., Colombai, R., Totaro, M., & Baggiani, A. (2021). Mappatura delle competenze ed attivazione di equipe multi professionali in risposta ad emergenza pandemica COVID-19. [Skills tracing and activation of multi-professional teams in response to COVID-19 pandemic]. Igiene e sanita pubblica, 77(2), 447-458.
Porfido, E, et al. "Mappatura delle competenze ed attivazione di equipe multi professionali in risposta ad emergenza pandemica COVID-19." [Skills tracing and activation of multi-professional teams in response to COVID-19 pandemic]. Igiene e sanita pubblica vol. 77,2 (2021): 447-458.
Porfido E, Giuliani P, Dell'Acqua M, Passaretta M, Rabbufetti G, Salzillo A, Gelmi R, Tagliasacchi R, Francioli M, Colombai R, Totaro M, Baggiani A. Mappatura delle competenze ed attivazione di equipe multi professionali in risposta ad emergenza pandemica COVID-19. [Skills tracing and activation of multi-professional teams in response to COVID-19 pandemic]. Ig Sanita Pubbl. 2021 Mar-Apr;77(2):447-458. Italian. PMID: 34314406.
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Analytical and Clinical Validation of a New Immunoenzymatic Method for the Measurement of Canine Parathyroid Hormone.

Animals : an open access journal from MDPI

Zambarbieri J, Tagliasacchi F, Moretti P, Giordano A, Scarpa P.
PMID: 33348538
Animals (Basel). 2020 Dec 17;10(12). doi: 10.3390/ani10122411.

Renal hyperparathyroidism (RHPT) is one of the main complications in dogs affected with Chronic Kidney Disease (CKD). The measurement of serum parathyroid hormone (PTH) could be of clinical utility for the disease's treatment and follow-up; however, PTH is not...

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Zambarbieri J, Tagliasacchi F, Moretti P, et al. Analytical and Clinical Validation of a New Immunoenzymatic Method for the Measurement of Canine Parathyroid Hormone. Animals (Basel). 2020;10(12)doi: 10.3390/ani10122411.
Zambarbieri, J., Tagliasacchi, F., Moretti, P., Giordano, A., & Scarpa, P. (2020). Analytical and Clinical Validation of a New Immunoenzymatic Method for the Measurement of Canine Parathyroid Hormone. Animals : an open access journal from MDPI, 10(12), . https://doi.org/10.3390/ani10122411
Zambarbieri, Jari, et al. "Analytical and Clinical Validation of a New Immunoenzymatic Method for the Measurement of Canine Parathyroid Hormone." Animals : an open access journal from MDPI vol. 10,12 (2020). doi: https://doi.org/10.3390/ani10122411
Zambarbieri J, Tagliasacchi F, Moretti P, Giordano A, Scarpa P. Analytical and Clinical Validation of a New Immunoenzymatic Method for the Measurement of Canine Parathyroid Hormone. Animals (Basel). 2020 Dec 17;10(12). doi: 10.3390/ani10122411. PMID: 33348538; PMCID: PMC7766972.
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Cytohistochemical Analysis of Malus domestica Borkh. Seeds from Shedding and Nonshedding Fruits.

International journal of plant sciences

Forino LM, Andreucci AC, Giraldi E, Tagliasacchi AM.
PMID: 10817981
Int J Plant Sci. 2000 May;161(3):463-472. doi: 10.1086/314274.

A histological, cytochemical, and ultrastructural investigation of seeds of control (nonshedding) and shedding fruits of Malus domestica Borkh. showed differences in the pattern of nutrient distribution. The kind and amount of storage compounds in the two seeds also differed....

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Forino LM, Andreucci AC, Giraldi E, et al. Cytohistochemical Analysis of Malus domestica Borkh. Seeds from Shedding and Nonshedding Fruits. Int J Plant Sci. 2000;161(3):463-472doi: 10.1086/314274.
Forino, L. M., Andreucci, A. C., Giraldi, E., & Tagliasacchi, A. M. (2000). Cytohistochemical Analysis of Malus domestica Borkh. Seeds from Shedding and Nonshedding Fruits. International journal of plant sciences, 161(3), 463-472. https://doi.org/10.1086/314274
Forino, et al. "Cytohistochemical Analysis of Malus domestica Borkh. Seeds from Shedding and Nonshedding Fruits." International journal of plant sciences vol. 161,3 (2000): 463-472. doi: https://doi.org/10.1086/314274
Forino LM, Andreucci AC, Giraldi E, Tagliasacchi AM. Cytohistochemical Analysis of Malus domestica Borkh. Seeds from Shedding and Nonshedding Fruits. Int J Plant Sci. 2000 May;161(3):463-472. doi: 10.1086/314274. PMID: 10817981.
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Identification of Transform Coding Chains.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Tagliasacchi M, Visentini-Scarzanella M, Dragotti PL, Tubaro S.
PMID: 26685239
IEEE Trans Image Process. 2016 Mar;25(3):1109-23. doi: 10.1109/TIP.2015.2507985. Epub 2015 Dec 11.

Transform coding is routinely used for lossy compression of discrete sources with memory. The input signal is divided into N-dimensional vectors, which are transformed by means of a linear mapping. Then, transform coefficients are quantized and entropy coded. In...

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Tagliasacchi M, Visentini-Scarzanella M, Dragotti PL, et al. Identification of Transform Coding Chains. IEEE Trans Image Process. 2015;25(3):1109-23doi: 10.1109/TIP.2015.2507985.
Tagliasacchi, M., Visentini-Scarzanella, M., Dragotti, P. L., & Tubaro, S. (2016). Identification of Transform Coding Chains. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 25(3), 1109-23. https://doi.org/10.1109/TIP.2015.2507985
Tagliasacchi, Marco, et al. "Identification of Transform Coding Chains." IEEE transactions on image processing : a publication of the IEEE Signal Processing Society vol. 25,3 (2016): 1109-23. doi: https://doi.org/10.1109/TIP.2015.2507985
Tagliasacchi M, Visentini-Scarzanella M, Dragotti PL, Tubaro S. Identification of Transform Coding Chains. IEEE Trans Image Process. 2016 Mar;25(3):1109-23. doi: 10.1109/TIP.2015.2507985. Epub 2015 Dec 11. PMID: 26685239.
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Coding visual features extracted from video sequences.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Baroffio L, Cesana M, Redondi A, Tagliasacchi M, Tubaro S.
PMID: 24818244
IEEE Trans Image Process. 2014 May;23(5):2262-76. doi: 10.1109/tip.2014.2312617.

Visual features are successfully exploited in several applications (e.g., visual search, object recognition and tracking, etc.) due to their ability to efficiently represent image content. Several visual analysis tasks require features to be transmitted over a bandwidth-limited network, thus...

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Baroffio L, Cesana M, Redondi A, et al. Coding visual features extracted from video sequences. IEEE Trans Image Process. 2014;23(5):2262-76doi: 10.1109/tip.2014.2312617.
Baroffio, L., Cesana, M., Redondi, A., Tagliasacchi, M., & Tubaro, S. (2014). Coding visual features extracted from video sequences. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 23(5), 2262-76. https://doi.org/10.1109/tip.2014.2312617
Baroffio, Luca, et al. "Coding visual features extracted from video sequences." IEEE transactions on image processing : a publication of the IEEE Signal Processing Society vol. 23,5 (2014): 2262-76. doi: https://doi.org/10.1109/tip.2014.2312617
Baroffio L, Cesana M, Redondi A, Tagliasacchi M, Tubaro S. Coding visual features extracted from video sequences. IEEE Trans Image Process. 2014 May;23(5):2262-76. doi: 10.1109/tip.2014.2312617. PMID: 24818244.
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Coding Local and Global Binary Visual Features Extracted From Video Sequences.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Baroffio L, Canclini A, Cesana M, Redondi A, Tagliasacchi M, Tubaro S.
PMID: 26080384
IEEE Trans Image Process. 2015 Nov;24(11):3546-60. doi: 10.1109/TIP.2015.2445294. Epub 2015 Jun 12.

Binary local features represent an effective alternative to real-valued descriptors, leading to comparable results for many visual analysis tasks while being characterized by significantly lower computational complexity and memory requirements. When dealing with large collections, a more compact representation...

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Baroffio L, Canclini A, Cesana M, et al. Coding Local and Global Binary Visual Features Extracted From Video Sequences. IEEE Trans Image Process. 2015;24(11):3546-60doi: 10.1109/TIP.2015.2445294.
Baroffio, L., Canclini, A., Cesana, M., Redondi, A., Tagliasacchi, M., & Tubaro, S. (2015). Coding Local and Global Binary Visual Features Extracted From Video Sequences. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 24(11), 3546-60. https://doi.org/10.1109/TIP.2015.2445294
Baroffio, Luca, et al. "Coding Local and Global Binary Visual Features Extracted From Video Sequences." IEEE transactions on image processing : a publication of the IEEE Signal Processing Society vol. 24,11 (2015): 3546-60. doi: https://doi.org/10.1109/TIP.2015.2445294
Baroffio L, Canclini A, Cesana M, Redondi A, Tagliasacchi M, Tubaro S. Coding Local and Global Binary Visual Features Extracted From Video Sequences. IEEE Trans Image Process. 2015 Nov;24(11):3546-60. doi: 10.1109/TIP.2015.2445294. Epub 2015 Jun 12. PMID: 26080384.
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Learning Mesh Representations via Binary Space Partitioning Tree Networks.

IEEE transactions on pattern analysis and machine intelligence

Chen Z, Tagliasacchi A, Zhang H.
PMID: 34185638
IEEE Trans Pattern Anal Mach Intell. 2021 Jun 29; doi: 10.1109/TPAMI.2021.3093440. Epub 2021 Jun 29.

Polygonal meshes are ubiquitous, but have only played a relatively minor role in the deep learning revolution. State-of-the-art neural generative models for 3D shapes learn implicit functions and generate meshes via expensive iso-surfacing. We overcome these challenges by employing...

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Chen Z, Tagliasacchi A, Zhang H. Learning Mesh Representations via Binary Space Partitioning Tree Networks. IEEE Trans Pattern Anal Mach Intell. 2021;doi: 10.1109/TPAMI.2021.3093440.
Chen, Z., Tagliasacchi, A., & Zhang, H. (2021). Learning Mesh Representations via Binary Space Partitioning Tree Networks. IEEE transactions on pattern analysis and machine intelligence, . https://doi.org/10.1109/TPAMI.2021.3093440
Chen, Zhiqin, et al. "Learning Mesh Representations via Binary Space Partitioning Tree Networks." IEEE transactions on pattern analysis and machine intelligence vol. (2021). doi: https://doi.org/10.1109/TPAMI.2021.3093440
Chen Z, Tagliasacchi A, Zhang H. Learning Mesh Representations via Binary Space Partitioning Tree Networks. IEEE Trans Pattern Anal Mach Intell. 2021 Jun 29; doi: 10.1109/TPAMI.2021.3093440. Epub 2021 Jun 29. PMID: 34185638.
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Showing 1 to 10 of 10 entries