Dario Zanca
Dr. Dario Zanca
Academic CV
- Since 11/2020
Postdoc and Head of the Applied Machine Learning group at the Machine Learning and Data Analytics Lab, FAU. - 2019-2020
Postdoc at NeuroSense joint lab, Dept. of Medicine, Surgery and Neuroscience, University of Siena (Italy) - 2015 – 2019
Ph.D. in Smart Computing, University of Florence (Italy)
Supervisor: Prof. Dr. Marco Gori - 2018 (3 months)
Study abroad, Caltech, California Institute of Technology, Pasadena (United States) - 2013 – 2015
M.Sc. Mathematics, University of Palermo (Italy)
Supervisor: Prof. Dr. Gianluigi Oliveri - 2014 (2 months)
Study abroad, CiTIUS, University of Santiago de Compostela (Spain) - 2014 (4 months)
Study abroad as Erasmus, Institute of Mathematics at University of Szczecin (Poland) - 2007 – 2013
B.Sc. Mathematics for Scientific Communication, University of Palermo (Italy)
Publications
2022
Don't Get Me Wrong: How to apply Deep Visual Interpretations to Time Series
(2022)
Open Access: https://arxiv.org/pdf/2203.07861.pdf
URL: https://arxiv.org/pdf/2203.07861.pdf
BibTeX: Download
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SVC-onGoing: Signature verification competition
In: Pattern Recognition 127 (2022), Article No.: 108609
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2022.108609
BibTeX: Download
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Automated Video-Based Analysis Framework for Behavior Monitoring of Individual Animals in Zoos Using Deep Learning—A Study on Polar Bears
In: Animals 12 (2022), p. 692
ISSN: 2076-2615
DOI: 10.3390/ani12060692
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2021
Ataxia with oculomotor apraxia type 2 (AOA2): an eye movement study of two siblings
In: Neurological Sciences (2021)
ISSN: 1590-1874
DOI: 10.1007/s10072-021-05206-1
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System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data
In: IEEE Access (2021)
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2021.3106791
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A smart capacitive sensor skin with embedded data quality indication for enhanced safety in human–robot interaction
In: Sensors 21 (2021), Article No.: 7210
ISSN: 1424-8220
DOI: 10.3390/s21217210
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Identifying untrustworthy predictions in neural networks by geometric gradient analysis
Conference on Uncertainty in Artificial Intelligence (UAI) (Online, 27. July 2021 - 30. July 2021)
URL: https://arxiv.org/abs/2102.12196
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Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks
International Joint Conference on Neural Networks (IJCNN) (Online, 18. July 2021 - 22. July 2021)
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Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks
URL: https://arxiv.org/abs/2105.10304
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ICDAR 2021 Competition on On-Line Signature Verification
16th International Conference on Document Analysis and Recognition, ICDAR 2021 (Lausanne, CHE, 5. September 2021 - 10. September 2021)
In: Josep Lladós, Daniel Lopresti, Seiichi Uchida (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2021
DOI: 10.1007/978-3-030-86337-1_48
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Towards an IMU-based Pen Online Handwriting Recognizer
International Conference on Document Analysis and Recognition ICDAR 2021 (Lausanne, 5. September 2021 - 10. September 2021)
DOI: 10.1007/978-3-030-86334-0_19
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2020
Neurophthalmologic and Orthoptic Ambulatory Assessments Reveal Ocular and Visual Changes in Patients With Early Alzheimer and Parkinson's Disease
In: Frontiers in Neurology (2020)
ISSN: 1664-2295
DOI: 10.3389/fneur.2020.577362
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Gravitational Laws of Focus of Attention
In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, p. 2983-2995
DOI: 10.1109/TPAMI.2019.2920636
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Toward Improving the Evaluation of Visual Attention Models: A Crowdsourcing Approach
2020 International Joint Conference on Neural Networks, IJCNN 2020
DOI: 10.1109/IJCNN48605.2020.9207438
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Gravitational models explain shifts on human visual attention
In: Scientific Reports 10 (2020), Article No.: 16335
ISSN: 2045-2322
DOI: 10.1038/s41598-020-73494-2
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2019
Learning Activation Functions by Means of Kernel Based Neural Networks
Springer, 2019
ISBN: 9783030351656
DOI: 10.1007/978-3-030-35166-3_30
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A unified computational framework for visual attention dynamics
Elsevier B.V., 2019
(Progress in Brain Research, Vol.249)
ISBN: 9780444642547
DOI: 10.1016/bs.pbr.2019.01.001
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2018
FixaTons: A collection of Human Fixations Datasets and Metrics for Scanpath Similarity
(2018)
BibTeX: Download
(Techreport)
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2017
Variational laws of visual attention for dynamic scenes
31st Annual Conference on Neural Information Processing Systems, NIPS 2017
In: 31st Annual Conference on Neural Information Processing Systems, NIPS 2017 2017
URL: https://papers.nips.cc/paper/2017/file/194cf6c2de8e00c05fcf16c498adc7bf-Paper.pdf
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Awards and other Disseminations
- 2020
Special mention at the “Premio Marco Cadoli” 2020 for the best PhD thesis in Artificial Intelligence, AIxIA 2020 - 2018
1st Place at the SoBigData Soccer Challenge Hackathon about predicting football players’ modern roles from match events. - 2018
1st Place at the Mediaset Infinity Hackathon about predicting Customer Churn using Machine Learning