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Antonio Parziale
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2020 – today
- 2024
- [j10]Antonio Parziale
, Angelo Marcelli:
Understanding upper-limb movements via neurocomputational models of the sensorimotor system and neurorobotics: where we stand. Artif. Intell. Rev. 57(3): 73 (2024) - [c25]Rosanna Coccaro
Achieving Kinetic Anthropomorphism in Robotic Precision Tasks. UMAP (Adjunct Publication) 2024 - [i6]Cristina Carmona-Duarte, Miguel A. Ferrer, Antonio Parziale, Angelo Marcelli:
Temporal evolution in synthetic handwriting. CoRR abs/2401.15472 (2024) - [i5]Antonio Parziale, Moisés Díaz, Miguel A. Ferrer, Angelo Marcelli:
SM-DTW: Stability Modulated Dynamic Time Warping for signature verification. CoRR abs/2405.11978 (2024) - [i4]Moisés Díaz, Gioele Crispo, Antonio Parziale, Angelo Marcelli, Miguel A. Ferrer:
Writing Order Recovery in Complex and Long Static Handwriting. CoRR abs/2406.03194 (2024) - 2023
- [j9]Giovanni Mignone, Antonio Parziale
Observation vs. interaction in the recognition of human-like movements. Frontiers Robotics AI 10 (2023) - [j8]Rosa Senatore
A biologically inspired approach for recovering the trajectory of offline handwriting. Memetic Comput. 15(3): 355-375 (2023) - [c24]Asma Bensalah
I Can't Believe It's Not Better: In-air Movement for Alzheimer Handwriting Synthetic Generation. IGS 2023: 136-148 - [c23]Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva
Machine Learning for Health (ML4H) 2023. ML4H@NeurIPS 2023: 1-12 - [e3]Antonio Parziale
Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition - 21st International Conference of the International Graphonomics Society, IGS 2023, Évora, Portugal, October 16-19, 2023, Proceedings. Lecture Notes in Computer Science 14285, Springer 2023, ISBN 978-3-031-45460-8 [contents] - [e2]Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Tom Hartvigsen, Harvineet Singh:
Machine Learning for Health, ML4H@NeurIPS 2023, 10 December 2023, New Orleans, Louisiana, USA. Proceedings of Machine Learning Research 225, PMLR 2023 [contents] - [i3]Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Thomas Hartvigsen, Harvineet Singh:
Machine Learning for Health symposium 2023 - Findings track. CoRR abs/2312.00655 (2023) - [i2]Asma Bensalah, Antonio Parziale, Giuseppe De Gregorio, Angelo Marcelli, Alicia Fornés, Josep Lladós:
I Can't Believe It's Not Better: In-air Movement For Alzheimer Handwriting Synthetic Generation. CoRR abs/2312.05086 (2023) - 2022
- [j7]Nicole Dalia Cilia, Giuseppe De Gregorio
Diagnosing Alzheimer's disease from on-line handwriting: A novel dataset and performance benchmarking. Eng. Appl. Artif. Intell. 111: 104822 (2022) - [j6]Moisés Díaz
Writing Order Recovery in Complex and Long Static Handwriting. Int. J. Interact. Multim. Artif. Intell. 7(4): 171 (2022) - [c22]Angelo Marcelli
Forensic Handwriting Examination at IGS Conferences: A Review by Numbers. IGS 2022: 3-10 - [c21]Moisés Díaz
Impact of Writing Order Recovery in Automatic Signature Verification. IGS 2022: 11-25 - [c20]Antonio Parziale
Should We Look at Curvature or Velocity to Extract a Motor Program? IGS 2022: 203-216 - [c19]Gennaro Gemito
Generation of Synthetic Drawing Samples to Diagnose Parkinson's Disease. IGS 2022: 269-284 - [c18]Antonio Parziale
Investigating One-Class Classifiers to Diagnose Alzheimer's Disease from Handwriting. ICIAP (1) 2022: 111-123 - [c17]Antonio Parziale
Mimicking the immune system to diagnose Parkinson's disease from handwriting. ICPR 2022: 2496-2502 - [c16]Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed M. Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi:
Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS 2022: 1-11 - [e1]Antonio Parziale, Monica Agrawal, Shalmali Joshi, Irene Y. Chen, Shengpu Tang, Luis Oala, Adarsh Subbaswamy:
Machine Learning for Health, ML4H 2022, 28 November 2022, New Orleans, Lousiana, USA & Virtual. Proceedings of Machine Learning Research 193, PMLR 2022 [contents] - [i1]Antonio Parziale, Monica Agrawal, Shalmali Joshi, Irene Y. Chen, Shengpu Tang, Luis Oala, Adarsh Subbaswamy:
Machine Learning for Health symposium 2022 - Extended Abstract track. CoRR abs/2211.15564 (2022) - 2021
- [j5]Antonio Parziale
Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues. Artif. Intell. Medicine 111: 101984 (2021) - [c15]Antonio Parziale
2D vs 3D Online Writer Identification: A Comparative Study. ICDAR (3) 2021: 307-321 - 2020
- [j4]Antonio Parziale
One Step Is Not Enough: A Multi-Step Procedure for Building the Training Set of a Query by String Keyword Spotting System to Assist the Transcription of Historical Document. J. Imaging 6(10): 109 (2020) - [j3]Antonio Parziale
Exploring speed-accuracy tradeoff in reaching movements: a neurocomputational model. Neural Comput. Appl. 32(17): 13377-13403 (2020) - [c14]Federica Cavaliere, Antonio Della Cioppa, Angelo Marcelli, Antonio Parziale
Parkinson's Disease Diagnosis: Towards Grammar-based Explainable Artificial Intelligence. ISCC 2020: 1-6 - [p1]Antonio Parziale
Extracting the Motor Program of Handwriting from its Lognormal Representation. The Lognormality Principle 2020: 289-308
2010 – 2019
- 2019
- [j2]Antonio Parziale
SM-DTW: Stability Modulated Dynamic Time Warping for signature verification. Pattern Recognit. Lett. 121: 113-122 (2019) - [c13]Antonio Parziale
A Decision Tree for Automatic Diagnosis of Parkinson's Disease from Offline Drawing Samples: Experiments and Findings. ICIAP (1) 2019: 196-206 - 2018
- [c12]Claudio De Stefano
Recovering Segmentation Errors in Handwriting Recognition Systems. ICIC (2) 2018: 631-642 - 2017
- [j1]Cristina Carmona-Duarte
Temporal evolution in synthetic handwriting. Pattern Recognit. 68: 233-244 (2017) - [c11]Moisés Díaz Cabrera
Recovering Western On-Line Signatures from Image-Based Specimens. ICDAR 2017: 1204-1209 - 2016
- [c10]Adolfo Santoro
A Human in the Loop Approach to Historical Handwritten Documents Transcription. ICFHR 2016: 222-227 - [c9]Antonio Parziale
Writer Verification in Forensic Handwriting Examination: A Pilot Study. ICFHR 2016: 447-452 - 2015
- [c8]Angelo Marcelli
Quantitative evaluation of features for Forensic Handwriting Examination. ICDAR 2015: 1266-1271 - 2014
- [c7]Antonio Parziale
An Interactive Tool for Forensic Handwriting Examination. ICFHR 2014: 440-445 - [c6]Claudio De Stefano
Rejecting Both Segmentation and Classification Errors in Handwritten Form Processing. ICFHR 2014: 569-574 - 2013
- [c5]Angelo Marcelli, Antonio Parziale, Rosa Senatore:
Some Observations on Handwriting from a Motor Learning Perspective. AFHA 2013: 6-10 - [c4]Antonio Parziale
Exploiting Stability Regions for Online Signature Verification. ICIAP Workshops 2013: 112-121 - [c3]Angelo Marcelli
Modelling Visual Appearance of Handwriting. ICIAP (2) 2013: 673-682 - 2012
- [c2]Angelo Marcelli
Modeling Handwriting Style: A Preliminary Investigation. ICFHR 2012: 411-416 - 2010
- [c1]Claudio De Stefano
Reading Cursive Handwriting. ICFHR 2010: 95-100
Coauthor Index
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