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ORCIDDaniela De Canditiis
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2020 – today
- 2024
[i2]Daniela De Canditiis, Fabiano Veglianti:
Effective Non-Random Extreme Learning Machine. CoRR abs/2411.16229 (2024)- 2023
- [j14]Daniela De Canditiis
, Silvia Cirulli:
Model selection for inferring Gaussian graphical models. Commun. Stat. Simul. Comput. 52(12): 6084-6095 (2023) - [j13]Daniela De Canditiis:
Learning binary undirected graph in low dimensional regime. Stat. Comput. 33(6): 133 (2023) - 2020
- [j12]Daniela De Canditiis:
A global approach for learning sparse Ising models. Math. Comput. Simul. 176: 160-170 (2020)
2010 – 2019
- 2019
- [j11]Daniela De Canditiis, Italia De Feis:
Simultaneous nonparametric regression in RADWT dictionaries. Comput. Stat. Data Anal. 134: 36-57 (2019) - [r1]Daniela De Canditiis:
Statistical Inference Techniques. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 698-705 - [i1]Daniela De Canditiis:
A global approach for learning sparse Ising models. CoRR abs/1906.11641 (2019) - 2018
- [j10]Daniela De Canditiis, Marianna Pensky, Patrick J. Wolfe:
Denoising strategies for general finite frames. Math. Comput. Simul. 147: 90-99 (2018) - 2014
- [j9]Claudia Angelini, Daniela De Canditiis, Italia De Feis:
Computational approaches for isoform detection and estimation: good and bad news. BMC Bioinform. 15: 135 (2014) - [j8]Daniela De Canditiis:
A frame based shrinkage procedure for fast oscillating functions. Comput. Stat. Data Anal. 75: 142-150 (2014) - [j7]Vittoria Bruni, Daniela De Canditiis, Domenico Vitulano:
Speed up of Video Enhancement based on Human Perception. Signal Image Video Process. 8(7): 1199-1209 (2014) - 2012
- [j6]Vittoria Bruni, Daniela De Canditiis, Domenico Vitulano:
Time-scale energy based analysis of contours of real-world shapes. Math. Comput. Simul. 82(12): 2891-2907 (2012) - 2011
- [c3]Vittoria Bruni, Daniela De Canditiis, Domenico Vitulano:
Human Visual System for Complexity Reduction of Image and Video Restoration. CAIP (2) 2011: 261-268 - [c2]Claudia Angelini, Daniela De Canditiis, Marianna Pensky, Naomi Brownstein:
Bayesian Models for the Multi-sample Time-Course Microarray Experiments. CIBB 2011: 21-35 - 2010
- [j5]Vittoria Bruni, Daniela De Canditiis, Domenico Vitulano:
Local Sorting for Adaptive Signal Regularization. IEEE Signal Process. Lett. 17(7): 691-694 (2010)
2000 – 2009
- 2009
- [j4]Claudia Angelini, Daniela De Canditiis, Marianna Pensky:
Bayesian models for two-sample time-course microarray experiments. Comput. Stat. Data Anal. 53(5): 1547-1565 (2009) - [j3]Vittoria Bruni, Daniela De Canditiis, Domenico Vitulano:
Phase Information and Space Filling Curves in Noisy Motion Estimation. IEEE Trans. Image Process. 18(7): 1660-1664 (2009) - 2008
- [j2]Claudia Angelini, Luisa Cutillo, Daniela De Canditiis, Margherita Mutarelli, Marianna Pensky:
BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments. BMC Bioinform. 9 (2008) - 2006
- [c1]Vittoria Bruni, Daniela De Canditiis, Domenico Vitulano:
Fast Motion Estimation Using Spatio Temporal Filtering. ICIAR (1) 2006: 755-766 - 2004
- [j1]Daniela De Canditiis, Theofanis Sapatinas:
Testing for additivity and joint effects in multivariate nonparametric regression using Fourier and wavelet methods. Stat. Comput. 14(3): 235-249 (2004)
Coauthor Index
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