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ORCIDRossella Cancelliere
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2020 – today
- 2023
[j11]Giovanni Bonetta
, Matteo Ribero, Rossella Cancelliere:
Regularization-based pruning of irrelevant weights in deep neural architectures. Appl. Intell. 53(14): 17429-17443 (2023)- [c13]Giovanni Bonetta, Davide Zago, Rossella Cancelliere, Andrea Grosso:
Job Shop Scheduling via Deep Reinforcement Learning: A Sequence to Sequence Approach. LION 2023: 475-490 - [i7]Giovanni Bonetta, Davide Zago, Rossella Cancelliere, Andrea Grosso:
Job Shop Scheduling via Deep Reinforcement Learning: a Sequence to Sequence approach. CoRR abs/2308.01797 (2023) - 2022
- [j10]Clément Rebuffel, Marco Roberti, Laure Soulier, Geoffrey Scoutheeten, Rossella Cancelliere, Patrick Gallinari:
Controlling hallucinations at word level in data-to-text generation. Data Min. Knowl. Discov. 36(1): 318-354 (2022) - [c12]Giovanni Bonetta, Rossella Cancelliere:
Lightening CNN architectures by regularization driven weights' pruning. ESANN 2022 - [i6]Giovanni Bonetta, Matteo Ribero, Rossella Cancelliere:
Regularization-based Pruning of Irrelevant Weights in Deep Neural Architectures. CoRR abs/2204.04977 (2022) - 2021
- [j9]Giovanni Bonetta, Marco Roberti, Rossella Cancelliere, Patrick Gallinari:
The Rare Word Issue in Natural Language Generation: A Character-Based Solution. Informatics 8(1): 20 (2021) - [j8]Marco Roberti, Alessandro Druetto, Deborah Busonero, Rossella Cancelliere, Davide Cavagnino, Mario Gai:
Anomaly Detection Techniques in the Gaia Space Mission Data. J. Signal Process. Syst. 93(11): 1339-1357 (2021) - [j7]Marco Roberti, Alessandro Druetto, Deborah Busonero, Rossella Cancelliere, Davide Cavagnino, Mario Gai:
Correction to: Anomaly Detection Techniques in the Gaia Space Mission Data. J. Signal Process. Syst. 93(11): 1359 (2021) - [c11]Giovanni Bonetta, Rossella Cancelliere, Ding Liu, Paul Vozila:
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation. FLAIRS 2021 - [i5]Clément Rebuffel, Marco Roberti, Laure Soulier, Geoffrey Scoutheeten, Rossella Cancelliere, Patrick Gallinari:
Controlling Hallucinations at Word Level in Data-to-Text Generation. CoRR abs/2102.02810 (2021) - [i4]Giovanni Bonetta, Rossella Cancelliere, Ding Liu, Paul Vozila:
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation. CoRR abs/2105.09235 (2021)
2010 – 2019
- 2019
- [j6]Marco Botta, Rossella Cancelliere, Leo Ghignone, Fabio Tango, Patrick Gallinari, Clara Luison:
Real-time detection of driver distraction: random projections for pseudo-inversion-based neural training. Knowl. Inf. Syst. 60(3): 1549-1564 (2019) - [c10]Alessandro Druetto, Marco Roberti, Rossella Cancelliere, Davide Cavagnino, Mario Gai:
A Deep Learning Approach to Anomaly Detection in the Gaia Space Mission Data. IWANN (2) 2019: 390-401 - [c9]Marco Roberti, Giovanni Bonetta, Rossella Cancelliere, Patrick Gallinari:
Copy Mechanism and Tailored Training for Character-Based Data-to-Text Generation. ECML/PKDD (2) 2019: 648-664 - [i3]Marco Roberti, Giovanni Bonetta, Rossella Cancelliere, Patrick Gallinari:
Copy mechanism and tailored training for character-based data-to-text generation. CoRR abs/1904.11838 (2019) - 2016
- [j5]Luca Rubini, Rossella Cancelliere, Patrick Gallinari, Andrea Grosso:
Local search and pseudoinversion: an hybrid approach to neural network training. Knowl. Inf. Syst. 48(2): 493-503 (2016) - [c8]Leo Ghignone, Rossella Cancelliere:
Neural Learning of Heuristic Functions for General Game Playing. MOD 2016: 82-93 - 2015
- [j4]Rossella Cancelliere, Mario Gai, Patrick Gallinari, Luca Rubini:
OCReP: An Optimally Conditioned Regularization for pseudoinversion based neural training. Neural Networks 71: 76-87 (2015) - [i2]Rossella Cancelliere, R. Deluca, Mario Gai, Patrick Gallinari, Luca Rubini:
An analysis of numerical issues in neural training by pseudoinversion. CoRR abs/1508.06092 (2015) - [i1]Rossella Cancelliere, Mario Gai, Patrick Gallinari, Luca Rubini:
OCReP: An Optimally Conditioned Regularization for Pseudoinversion Based Neural Training. CoRR abs/1508.06095 (2015) - 2014
- [c7]Luca Rubini, Rossella Cancelliere, Patrick Gallinari, Andrea Grosso, Antonino Raiti:
Computational Experience with Pseudoinversion-Based Training of Neural Networks Using Random Projection Matrices. AIMSA 2014: 236-245 - 2013
- [c6]Rossella Cancelliere, Alberto Gosso, Andrea Grosso:
Neural networks for wind power generation forecasting: A case study. ICNSC 2013: 666-671 - 2012
- [c5]Rossella Cancelliere, Mario Gai, Thierry Artières, Patrick Gallinari:
Matrix Pseudoinversion for Image Neural Processing. ICONIP (5) 2012: 116-125
2000 – 2009
- 2009
- [j3]Rossella Cancelliere, Mario Gai:
Efficient computation and neural processing of astrometric images. Comput. Informatics 28(5): 711-727 (2009) - 2008
- [c4]Elena Roglia, Rossella Cancelliere, Rosa Meo:
Classification of chestnuts with feature selection by noise resilient classifiers. ESANN 2008: 271-276 - 2007
- [c3]Rossella Cancelliere, Mario Gai:
Neural network high precision processing for astronomical images. EUSIPCO 2007: 1774-1778 - 2005
- [j2]Rossella Cancelliere, Angela Slavova:
Dynamics and stability of generalized cellular nonlinear network model. Appl. Math. Comput. 165(1): 127-136 (2005) - 2003
- [c2]Rossella Cancelliere, Mario Gai:
Neural Network Performances in Astronomical Image Processing. ESANN 2003: 515-520 - 2000
- [c1]Rossella Cancelliere:
A High Parallel Procedure to Initialize the Output Weights of a Radial Basis Function or BP Neural Network. PARA 2000: 384-390
1990 – 1999
- 1996
- [j1]Rossella Cancelliere, Roberto Gemello:
Efficient training of Time Delay Neural Networks for sequential patterns. Neurocomputing 10(1): 33-42 (1996)
Coauthor Index
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