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Angelo Marcelli
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2020 – today
- 2024
- [j38]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) - [j37]Ilaria Gigi, Rosa Senatore, Angelo Marcelli:
The onset of motor learning impairments in Parkinson's disease: a computational investigation. Brain Informatics 11(1): 4 (2024) - [c87]Antonio Della Cioppa, Angelo Marcelli, Antonio Iannaccone:
Introducing the RSNA-VR and the RSNA-DE Algorithms for Diagnosing Alzheimer's Disease. CEC 2024: 1-7 - [c86]Rosanna Coccaro
Achieving Kinetic Anthropomorphism in Robotic Precision Tasks. UMAP (Adjunct Publication) 2024 - [i5]Cristina Carmona-Duarte, Miguel A. Ferrer, Antonio Parziale, Angelo Marcelli:
Temporal evolution in synthetic handwriting. CoRR abs/2401.15472 (2024) - [i4]Antonio Parziale, Moisés Díaz, Miguel A. Ferrer, Angelo Marcelli:
SM-DTW: Stability Modulated Dynamic Time Warping for signature verification. CoRR abs/2405.11978 (2024) - [i3]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
- [j36]Giovanni Mignone, Antonio Parziale
Observation vs. interaction in the recognition of human-like movements. Frontiers Robotics AI 10 (2023) - [j35]Giuseppe De Gregorio
End-to-End Transcript Alignment of 17th Century Manuscripts: The Case of Moccia Code. J. Imaging 9(1): 17 (2023) - [j34]Rosa Senatore
A biologically inspired approach for recovering the trajectory of offline handwriting. Memetic Comput. 15(3): 355-375 (2023) - [c85]Asma Bensalah
I Can't Believe It's Not Better: In-air Movement for Alzheimer Handwriting Synthetic Generation. IGS 2023: 136-148 - [c84]Giuseppe De Gregorio
The Neglected Role of GUI in Performance Evaluation of AI-Based Transcription Tools for Handwritten Documents. IGS 2023: 151-164 - [c83]Giuseppe De Gregorio
Estimating the Optimal Training Set Size of Keyword Spotting for Historical Handwritten Document Transcription. IGS 2023: 165-177 - [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
- [j33]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) - [j32]Moisés Díaz
Writing Order Recovery in Complex and Long Static Handwriting. Int. J. Interact. Multim. Artif. Intell. 7(4): 171 (2022) - [c82]Giuseppe De Gregorio, Angelo Marcelli:
Word Spotting in Handwritten Historical Documents by N-gram Retrieval. AI4CH@AI*IA 2022: 102-112 - [c81]Giuseppe De Gregorio, Antonio Della Cioppa, Angelo Marcelli:
Negative Selection Algorithm for Alzheimer's Diagnosis: Design and Performance Evaluation. EvoApplications 2022: 531-546 - [c80]Angelo Marcelli
Forensic Handwriting Examination at IGS Conferences: A Review by Numbers. IGS 2022: 3-10 - [c79]Moisés Díaz
Impact of Writing Order Recovery in Automatic Signature Verification. IGS 2022: 11-25 - [c78]Giuseppe De Gregorio, Ilaria Citro, Angelo Marcelli:
Transcript Alignment for Historical Handwritten Documents: The MiM Algorithm. IGS 2022: 45-60 - [c77]Antonio Parziale
Should We Look at Curvature or Velocity to Extract a Motor Program? IGS 2022: 203-216 - [c76]Gennaro Gemito
Generation of Synthetic Drawing Samples to Diagnose Parkinson's Disease. IGS 2022: 269-284 - [c75]Giuseppe De Gregorio
A Few Shot Multi-representation Approach for N-Gram Spotting in Historical Manuscripts. ICFHR 2022: 3-17 - [c74]Antonio Parziale
Investigating One-Class Classifiers to Diagnose Alzheimer's Disease from Handwriting. ICIAP (1) 2022: 111-123 - [c73]Antonio Parziale
Mimicking the immune system to diagnose Parkinson's disease from handwriting. ICPR 2022: 2496-2502 - [i1]Giuseppe De Gregorio, Sanket Biswas, Mohamed Ali Souibgui, Asma Bensalah, Josep Lladós, Alicia Fornés, Angelo Marcelli:
A Few Shot Multi-Representation Approach for N-gram Spotting in Historical Manuscripts. CoRR abs/2209.10441 (2022) - 2021
- [j31]Antonio Parziale
Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues. Artif. Intell. Medicine 111: 101984 (2021) - [c72]Ivanoe De Falco, Antonio Della Cioppa, Angelo Marcelli, Umberto Scafuri
Prediction of personalized blood glucose levels in type 1 diabetic patients using a neuroevolution approach. GECCO Companion 2021: 1708-1716 - [c71]Antonio Parziale
2D vs 3D Online Writer Identification: A Comparative Study. ICDAR (3) 2021: 307-321 - 2020
- [j30]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) - [j29]Angelo Marcelli
A Model for Evaluating the Performance of a Multiple Keywords Spotting System for the Transcription of Historical Handwritten Documents. J. Imaging 6(11): 117 (2020) - [j28]Enrico Ferrentino
An Evolutionary Approach to Time-Optimal Control of Robotic Manipulators. J. Intell. Robotic Syst. 99(2): 245-260 (2020) - [j27]Antonio Parziale
Exploring speed-accuracy tradeoff in reaching movements: a neurocomputational model. Neural Comput. Appl. 32(17): 13377-13403 (2020) - [j26]Adolfo Santoro
Using keyword spotting systems as tools for the transcription of historical handwritten documents: Models and procedures for performance evaluation. Pattern Recognit. Lett. 131: 329-335 (2020) - [c70]Ivan Colucci, Giuseppe Pellegrino, Antonio Della Cioppa, Angelo Marcelli:
Learning to walk - reward relevance within an enhanced neuroevolution approach. GECCO Companion 2020: 1832-1840 - [c69]Giuseppe De Gregorio
A Multi Classifier Approach for Supporting Alzheimer's Diagnosis Based on Handwriting Analysis. ICPR Workshops (1) 2020: 559-574 - [c68]Federica Cavaliere, Antonio Della Cioppa, Angelo Marcelli, Antonio Parziale
Parkinson's Disease Diagnosis: Towards Grammar-based Explainable Artificial Intelligence. ISCC 2020: 1-6 - [p2]Antonio Parziale
Extracting the Motor Program of Handwriting from its Lognormal Representation. The Lognormality Principle 2020: 289-308 - [p1]Réjean Plamondon, Angelo Marcelli, Miguel A. Ferrer:
Conclusions. The Lognormality Principle 2020: 343-346 - [e1]Réjean Plamondon, Angelo Marcelli, Miguel Ángel Ferrer:
The Lognormality Principle and its Applications in e-Security, e-Learning and e-Health. Series in Machine Perception and Artificial Intelligence 88, World Scientific 2020, ISBN 9789811226823 [contents]
2010 – 2019
- 2019
- [j25]Ivanoe De Falco, Antonio Della Cioppa
A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives. Appl. Soft Comput. 77: 316-328 (2019) - [j24]Rosa Senatore, Antonio Della Cioppa
Automatic Diagnosis of Neurodegenerative Diseases: An Evolutionary Approach for Facing the Interpretability Problem. Inf. 10(1): 30 (2019) - [j23]Claudio De Stefano
Graphonomics for the e-citizens: e-health, e-society and e-education. Pattern Recognit. Lett. 121: 1-5 (2019) - [j22]Antonio Parziale
SM-DTW: Stability Modulated Dynamic Time Warping for signature verification. Pattern Recognit. Lett. 121: 113-122 (2019) - [c67]Rosa Senatore, Antonio Della Cioppa, Angelo Marcelli:
Automatic Diagnosis of Parkinson Disease through Handwriting Analysis: A Cartesian Genetic Programming Approach. CBMS 2019: 312-317 - [c66]Adolfo Santoro
A Novel Procedure to Speed up the Transcription of Historical Handwritten Documents by Interleaving Keyword Spotting and user Validation. ICDAR 2019: 1226-1230 - [c65]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
- [c64]Gioele Crispo, Moisés Díaz
Tracking the Ballistic Trajectory in Complex and Long Handwritten Signatures. ICFHR 2018: 351-356 - [c63]Claudio De Stefano
Recovering Segmentation Errors in Handwriting Recognition Systems. ICIC (2) 2018: 631-642 - 2017
- [j21]Cristina Carmona-Duarte
Temporal evolution in synthetic handwriting. Pattern Recognit. 68: 233-244 (2017) - [c62]Adolfo Santoro
Assisted Transcription of Historical Documents by Keyword Spotting: A Performance Model. ICDAR 2017: 971-976 - [c61]Moisés Díaz Cabrera
Recovering Western On-Line Signatures from Image-Based Specimens. ICDAR 2017: 1204-1209 - 2016
- [c60]Adolfo Santoro
A Human in the Loop Approach to Historical Handwritten Documents Transcription. ICFHR 2016: 222-227 - [c59]Antonio Parziale
Writer Verification in Forensic Handwriting Examination: A Pilot Study. ICFHR 2016: 447-452 - 2015
- [j20]Pietro Luigi Carotenuto, Antonio Della Cioppa
An evolutionary approach to the dynamical reconfiguration of photovoltaic fields. Neurocomputing 170: 393-405 (2015) - [c58]Muhammad Imran Malik, Sheraz Ahmed, Angelo Marcelli
ICDAR2015 competition on signature verification and writer identification for on- and off-line skilled forgeries (SigWIcomp2015). ICDAR 2015: 1186-1190 - [c57]Angelo Marcelli
Quantitative evaluation of features for Forensic Handwriting Examination. ICDAR 2015: 1266-1271 - 2014
- [c56]Antonio Parziale
An Interactive Tool for Forensic Handwriting Examination. ICFHR 2014: 440-445 - [c55]Claudio De Stefano
Rejecting Both Segmentation and Classification Errors in Handwritten Form Processing. ICFHR 2014: 569-574 - 2013
- [j19]Luigi P. Cordella, Claudio De Stefano
EvoGeneSys, a new evolutionary approach to graph generation. Appl. Soft Comput. 13(4): 1922-1938 (2013) - [c54]Angelo Marcelli, Antonio Parziale, Rosa Senatore:
Some Observations on Handwriting from a Motor Learning Perspective. AFHA 2013: 6-10 - [c53]Antonio Parziale
Exploiting Stability Regions for Online Signature Verification. ICIAP Workshops 2013: 112-121 - [c52]Angelo Marcelli
Modelling Visual Appearance of Handwriting. ICIAP (2) 2013: 673-682 - [c51]Claudio De Stefano
Evolutionary approaches for pooling classifier ensembles: Performance evaluation. SoCPaR 2013: 309-314 - 2012
- [c50]Angelo Marcelli
Modeling Handwriting Style: A Preliminary Investigation. ICFHR 2012: 411-416 - [c49]Rosa Senatore, Angelo Marcelli
A Neural Scheme for Procedural Motor Learning of Handwriting. ICFHR 2012: 659-664 - 2011
- [c48]Antonio Della Cioppa
Speciation in evolutionary algorithms: adaptive species discovery. GECCO 2011: 1053-1060 - 2010
- [c47]Claudio De Stefano
Reading Cursive Handwriting. ICFHR 2010: 95-100 - [c46]Luigi P. Cordella, Claudio De Stefano
Writing Order Recovery from Off-Line Handwriting by Graph Traversal. ICPR 2010: 1896-1899
2000 – 2009
- 2009
- [j18]James G. Phillips
Editorial. Int. J. Pattern Recognit. Artif. Intell. 23(5): 865-868 (2009) - [j17]Claudio De Stefano
Classifier Combination by Bayesian Networks for Handwriting Recognition. Int. J. Pattern Recognit. Artif. Intell. 23(5): 887-905 (2009) - [c45]Claudio De Stefano
Learning Bayesian Networks by Evolution for Classifier Combination. ICDAR 2009: 966-970 - 2008
- [j16]Giuseppe Boccignone
Bayesian Integration of Face and Low-Level Cues for Foveated Video Coding. IEEE Trans. Circuits Syst. Video Technol. 18(12): 1727-1740 (2008) - [c44]Antonio Clavelli, Luigi P. Cordella, Claudio De Stefano, Angelo Marcelli:
Indexing and retrieving cursive documents without recognition. ICPR 2008: 1-4 - 2007
- [j15]Angelo Marcelli
Editorial. Int. J. Pattern Recognit. Artif. Intell. 21(1): 1-4 (2007) - [j14]Moussa Djioua, Réjean Plamondon
Deterministic and Evolutionary Extraction of Delta-Lognormal Parameters: Performance Comparison. Int. J. Pattern Recognit. Artif. Intell. 21(1): 21-41 (2007) - [j13]Claudio De Stefano
Incorporating a Wavelet Transform into a Saliency-Based Method for Online Handwriting Segmentation. Int. J. Pattern Recognit. Artif. Intell. 21(1): 43-59 (2007) - [j12]Antonio Della Cioppa
Where Are the Niches? Dynamic Fitness Sharing. IEEE Trans. Evol. Comput. 11(4): 453-465 (2007) - [c43]Giuseppe Boccignone
Motion Estimation via Belief Propagation. ICIAP 2007: 55-60 - [c42]Claudio De Stefano
Using Bayesian Network for combining classifiers. ICIAP 2007: 73-80 - 2006
- [j11]Giuseppe Boccignone
Bayesian Propagation for Perceiving Moving Objects. Int. J. Pattern Recognit. Artif. Intell. 20(6): 835-848 (2006) - [c41]Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli:
An Evolutionary Approach for Dynamic Configuration of Multi-expert Classification Systems. IEEE Congress on Evolutionary Computation 2006: 2444-2450 - [c40]Luigi P. Cordella, Claudio De Stefano
Evolutionary Generation of Prototypes for a Learning Vector Quantization Classifier. EvoWorkshops 2006: 391-402 - [c39]Giuseppe Boccignone
Inference of moving forms via Belief Propagation. ICPR (2) 2006: 191-194 - [c38]Claudio De Stefano
Improving Dynamic Learning Vector Quantization. ICPR (2) 2006: 804-807 - [c37]Luigi P. Cordella, Claudio De Stefano
Looking for Prototypes by Genetic Programming. IWICPAS 2006: 152-159 - 2005
- [c36]Giuseppe Boccignone
A Bayesian Approach to Situated Vision. BVAI 2005: 367-376 - [c35]Giuseppe Boccignone, Vittorio Caggiano, Angelo Marcelli, Paolo Napoletano, Gianluca Di Fiore:
An Architectural Model for Combining Spatial-Based and Object-Based Information for Attentive Video Analysis. CAMP 2005: 116-121 - [c34]Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli:
Genetic programming for generating prototypes in classification problems. Congress on Evolutionary Computation 2005: 1149-1155 - [c33]Luigi P. Cordella, Claudio De Stefano
EvoGeneS, a New Evolutionary Approach to Graph Generation. EvoCOP 2005: 46-57 - [c32]Giuseppe Boccignone
Probabilistic Detection and Tracking of Faces in Video. ICIAP 2005: 687-694 - [c31]Luigi P. Cordella, Claudio De Stefano
A Novel Genetic Programming Based Approach for Classification Problems. ICIAP 2005: 727-734 - [c30]Claudio De Stefano
Using Strings for On-Line Handwriting Shape Matching: A New Weighted Edit Distance. ICIAP 2005: 1125-1132 - [c29]Giuseppe Boccignone
Interleaved detection and tracking of faces in video. ICIP (2) 2005: 398-401 - 2004
- [j10]Claudio De Stefano
A Saliency-Based Segmentation Method For Online Cursive Handwriting. Int. J. Pattern Recognit. Artif. Intell. 18(7): 1139-1156 (2004) - [j9]Claudio De Stefano
An Efficient Method For Online Cursive Handwriting Strokes Reordering. Int. J. Pattern Recognit. Artif. Intell. 18(7): 1157-1171 (2004) - [j8]Antonio Della Cioppa
On the role of population size and niche radius in fitness sharing. IEEE Trans. Evol. Comput. 8(6): 580-592 (2004) - [c28]Claudio De Stefano
A saliency-based multiscale method for on-line cursive handwriting shape description. IWFHR 2004: 124-129 - [c27]Claudio De Stefano
A Dynamic Approach to Learning Vector Quantization. ICPR (4) 2004: 601-604 - [c26]Claudio De Stefano
A Multiresolution Approach to On-line Handwriting Segmentation and Feature Extraction. ICPR (2) 2004: 614-617 - 2003
- [c25]Claudio De Stefano
Exploiting Reliability for Dynamic Selection of Classifiers by Means of Genetic Algorithms. ICDAR 2003: 671-675 - [c24]Giuseppe Boccignone
Foveated analysis of video. ICIAP 2003: 638-643 - [c23]Giuseppe Boccignone
Using motion for foveated analysis of video. ISSPA (1) 2003: 233-236 - 2002
- [j7]Claudio De Stefano
Learning handwriting by evolution: a conceptual framework for performance evaluation and tuning. Pattern Recognit. 35(5): 1025-1037 (2002) - [j6]Claudio De Stefano
Character preclassification based on genetic programming. Pattern Recognit. Lett. 23(12): 1439-1448 (2002) - [c22]Claudio De Stefano
From ligatures to characters: a shape-based algorithm for handwriting segmentation. IWFHR 2002: 473-478 - [c21]Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli:
An Adaptive Weighted Majority Vote Rule for Combining Multiple Classifiers. ICPR (2) 2002: 192-195 - 2001
- [j5]Claudio De Stefano
A Shape-Based Algorithm for Detecting Ligatures in On-Line Handwriting. Intell. Autom. Soft Comput. 7(3): 187-194 (2001) - [c20]Claudio De Stefano
An Investigation on MPEG Audio Segmentation by Evolutionary Algorithms. ICDAR 2001: 952-956 - [c19]Claudio De Stefano
Grouping Character Shapes by Means of Genetic Programming. IWVF 2001: 504-513 - 2000
- [c18]Angelo Marcelli:
Exploring genetic programming for modeling character shape. SMC 2000: 2757-2762
1990 – 1999
- 1999
- [c17]Claudio De Stefano
Modeling the trade-off between completeness and consistency in genetic-based handwritten character prototyping. Document Recognition and Retrieval 1999: 64-72 - [c16]Claudio De Stefano
Handwritten Numeral Recognition by means of Evolutionary Algorithms. ICDAR 1999: 804-807 - [c15]Luigi P. Cordella, Claudio De Stefano
A New Evolutionary Learning Model for Handwritten Character Prototyping. ICIAP 1999: 830-835 - 1997
- [j4]Angelo Marcelli
Structural Indexing for Character Recognition. Comput. Vis. Image Underst. 66(3): 330-346 (1997) - [c14]Maria Frucci, Angelo Marcelli:
Contour Pixel Classification for Character Skeletonization. BSDIA 1997: 141-152 - 1996
- [c13]Sergey Ablameyko
Shape decomposition by (d1, d2)-weighted skeleton and directional information. ICPR 1996: 275-279 - [c12]Sergey Ablameyko, Maria Frucci, Angelo Marcelli:
Extracting Shape Primitives from Skeleton. MVA 1996: 502-505 - 1995
- [c11]Maria Frucci, Angelo Marcelli:
Line Representation of Elongated Shapes. CAIP 1995: 643-648 - [c10]Luigi P. Cordella, Angelo Marcelli:
An Alternative Approach to the Performance Evaluation of Thinning Algorithms for Document Processing Applications. GREC 1995: 13-22 - [c9]Bruno Bontempi, Angelo Marcelli
Towards a genetic based prototyper for character shapes. ICDAR 1995: 694-697 - 1994
- [j3]Sergey Ablameyko
Vectorization and Representation of Large-Size 2-D Line-Drawing Images. J. Vis. Commun. Image Represent. 5(3): 245-254 (1994) - [c8]Angelo Marcelli, Theo Pavlidis:
Using projections for preclassification of character shape. Document Recognition 1994: 4-13 - [c7]Maria Frucci
Parallel Skeletonization by Directional Information. ICIP (1) 1994: 681-685 - [c6]Bruno Bontempi, Angelo Marcelli:
A genetic learning system for on-line character recognition. ICPR (2) 1994: 83-87 - 1993
- [j2]Giuseppe Boccignone
Recovering dynamic information from static handwriting. Pattern Recognit. 26(3): 409-418 (1993) - [c5]Giuseppe Boccignone, L. Esposito, Angelo Marcelli:
An Experimental Vision Tool for Real Time Quality Control. CAIP 1993: 706-710 - [c4]Angelo Marcelli, Natasha Likhareva, Theo Pavlidis:
A structural indexing method for character recognition. ICDAR 1993: 175-178
1980 – 1989
- 1989
- [c3]Angelo Chianese, Luigi P. Cordella, Massimo De Santo, Angelo Marcelli
A structural method for handprinted character recognition. Recent Issues in Pattern Analysis and Recognition 1989: 289-302 - [c2]Giuseppe Boccignone
Investigation on a structural solution of merged characters segmentation in OCR. Recent Issues in Pattern Analysis and Recognition 1989: 303-315 - 1988
- [c1]Angelo Chianese, Luigi P. Cordella, Massimo De Santo, Angelo Marcelli, Mario Vento:
A preliminary approach to the design and evaluation of a reconfigurable architecture for computer vision. ICPR 1988: 724-726 - 1985
- [j1]B. Fadini, Angelo Marcelli
Approach to the performance evaluation and tuning of communication protocol implementation. Comput. Commun. 8(2): 59-63 (1985)
Coauthor Index
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