Dario Zanca

Dr. Dario Zanca

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik

Room 01.016
Carl-Thiersch-Straße 2b
91052 Erlangen

Phone number: +49 9131 85-20296
Email: dario.zanca@fau.de
Website: https://www.mad.tf.fau.de/person/dario-zanca/

Personal website: dariozanca.com

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)

Research Projects

Publications

2023

Altstidl TR., Nguyen AT., Schwinn L., Köferl F., Mutschler C., Eskofier B., Zanca D.:
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks
2023 International Joint Conference on Neural Networks (IJCNN) (Gold Coast, Australia, 18. June 2023 - 23. June 2023)
In: Proc. Intl. Joint Conf. Neural Netw. (IJCNN) 2023
DOI: 10.1109/IJCNN54540.2023.10191724
BibTeX: Download
Faggi L., Betti A., Zanca D., Melacci S., Gori M.:
Local propagation of visual stimuli in focus of attention
In: Neurocomputing 560 (2023), Article No.: 126775
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2023.126775
BibTeX: Download
Klede K., Schwinn L., Zanca D., Eskofier B.:
FastAMI - A Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics
AAAI 2023 (Washington, D.C., 7. February 2023 - 14. February 2023)
In: Proceedings of the AAAI Conference on Artificial Intelligence, 37(7) 2023
DOI: 10.1609/aaai.v37i7.26003
URL: https://ojs.aaai.org/index.php/AAAI/article/view/26003
BibTeX: Download
Löffler C., Fallah K., Fenu S., Zanca D., Eskofier B., Rozell CJ., Mutschler C.:
Active Learning of Ordinal Embeddings: A User Study on Football Data
In: Transactions on Machine Learning Research (2023), p. 1-26
ISSN: 2835-8856
Open Access: https://openreview.net/pdf?id=oq3tx5kinu
URL: https://openreview.net/forum?id=oq3tx5kinu
BibTeX: Download
Scholl C., Spiegler M., Ludwig K., Eskofier B., Tobola A., Zanca D.:
An Integrated Framework for Data Quality Fusion in Embedded Sensor Systems
In: Sensors 23 (2023)
ISSN: 1424-8220
DOI: 10.3390/s23083798
BibTeX: Download
Schwinn L., Raab R., Nguyen A., Zanca D., Eskofier B.:
Exploring misclassifications of robust neural networks to enhance adversarial attacks
In: Applied Intelligence (2023)
ISSN: 0924-669X
DOI: 10.1007/s10489-023-04532-5
BibTeX: Download
Zhdanov AE., Dolganov AY., Zanca D., Borisov VI., Luchian E., Dorosinsky LG.:
Evaluation of the effectiveness of the decision support algorithm for physicians in retinal dystrophy using machine learning methods
In: Computer Optics 47 (2023), p. 272-277
ISSN: 0134-2452
DOI: 10.18287/2412-6179-CO-1124
BibTeX: Download
Zürl M., Dirauf R., Köferl F., Steinlein N., Sueskind J., Zanca D., Brehm I., von Fersen L., Eskofier B.:
PolarBearVidID: A Video-Based Re-Identification Benchmark Dataset for Polar Bears
In: Animals 13 (2023), p. 801
ISSN: 2076-2615
DOI: 10.3390/ani13050801
BibTeX: Download

2022

Ede S., Baghdadlian S., Weber L., Nguyen A., Zanca D., Samek W., Lapuschkin S.:
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI
6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2022, held in conjunction with the 17th International Conference on Availability, Reliability and Security, ARES 2022 (Vienna, 23. August 2022 - 26. August 2022)
In: Andreas Holzinger, Andreas Holzinger, Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl, Edgar Weippl (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022
DOI: 10.1007/978-3-031-14463-9_1
BibTeX: Download
Schwinn L., Bungert L., Nguyen A., Raab R., Pulsmeyer F., Precup D., Eskofier B., Zanca D.:
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification
Proceedings of the 39th International Conference on Machine Learning (Baltimore, USA, 17. July 2022 - 23. July 2022)
In: PMLR (ed.): 162 2022
Open Access: https://proceedings.mlr.press/v162/schwinn22a.html
URL: https://proceedings.mlr.press/v162/schwinn22a.html
BibTeX: Download
Tolosana R., Vera-Rodriguez R., Gonzalez-Garcia C., Fierrez J., Morales A., Ortega-Garcia J., Carlos Ruiz-Garcia J., Romero-Tapiador S., Rengifo S., Caruana M., Jiang J., Lai S., Jin L., Zhu Y., Galbally J., Diaz M., Angel Ferrer M., Gomez-Barrero M., Hodashinsky I., Sarin K., Slezkin A., Bardamova M., Svetlakov M., Saleem M., Lia Szcs C., Kovari B., Pulsmeyer F., Wehbi M., Zanca D., Ahmad S., Mishra S., Jabin S.:
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
Wehbi M., Luge D., Hamann T., Barth J., Kaempf P., Zanca D., Eskofier B.:
Surface-Free Multi-Stroke Trajectory Reconstruction and Word Recognition Using an IMU-Enhanced Digital Pen
In: Sensors 22 (2022), p. 5347
ISSN: 1424-8220
DOI: 10.3390/s22145347
BibTeX: Download
Zhdanov A., Dolganov A., Zanca D., Borisov V., Ronkin M.:
Advanced Analysis of Electroretinograms Based on Wavelet Scalogram Processing
In: Applied Sciences 12 (2022), Article No.: 12365
ISSN: 2076-3417
DOI: 10.3390/app122312365
BibTeX: Download
Zürl M., Stoll P., Brehm I., Raab R., Zanca D., Kabri S., Happold J., Nille H., Prechtel K., Wünsch S., Krause M., Seegerer S., von Fersen L., Eskofier B.:
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
BibTeX: Download

2021

Bargagli A., Rosini F., Zanca D., Serchi V., Rufa A.:
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
BibTeX: Download
Nguyen A., Foerstel S., Kittler T., Kurzyukov A., Schwinn L., Zanca D., Hipp T., Jun SD., Schrapp M., Rothgang E., Eskofier B.:
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
BibTeX: Download
Rondon MFR., Zanca D., Melacci S., Gori M., Sassatelli L.:
HeMoG: A White-Box Model to Unveil the Connection Between Saliency Information and Human Head Motion in Virtual Reality
4th IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)
In: 2021 4TH IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND VIRTUAL REALITY (AIVR 2021), LOS ALAMITOS: 2021
DOI: 10.1109/AIVR52153.2021.00012
BibTeX: Download
Scholl C., Tobola A., Ludwig K., Zanca D., Eskofier B.:
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
BibTeX: Download
Schwinn L., Nguyen A., Raab R., Bungert L., Tenbrinck D., Zanca D., Burger M., Eskofier B.:
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
BibTeX: Download
Schwinn L., Nguyen A., Raab R., Zanca D., Eskofier B., Tenbrinck D., Burger M.:
Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks
International Joint Conference on Neural Networks (IJCNN) (Online, 18. July 2021 - 22. July 2021)
DOI: 10.1109/ijcnn52387.2021.9534190
BibTeX: Download
Schwinn L., Raab R., Nguyen A., Zanca D., Eskofier B.:
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks
URL: https://arxiv.org/abs/2105.10304
BibTeX: Download
Tolosana R., Vera-Rodriguez R., Gonzalez-Garcia C., Fierrez J., Rengifo S., Morales A., Ortega-Garcia J., Carlos Ruiz-Garcia J., Romero-Tapiador S., Jiang J., Lai S., Jin L., Zhu Y., Galbally J., Diaz M., Ferrer MA., Gomez-Barrero M., Hodashinsky I., Sarin K., Slezkin A., Bardamova M., Svetlakov M., Saleem M., Szücs CL., Kovari B., Pulsmeyer F., Wehbi M., Zanca D., Ahmad S., Mishra S., Jabin S.:
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
BibTeX: Download
Wehbi M., Hamann T., Barth J., Kaempf P., Zanca D., Eskofier B.:
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
BibTeX: Download

2020

Bargagli A., Fontanelli E., Zanca D., Castelli I., Rosini F., Maddii S., Di Donato I., Carluccio A., Battisti C., Tosi GM., Dotti MT., Rufa A.:
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
BibTeX: Download
Zanca D., Melacci S., Gori M.:
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
BibTeX: Download
Zanca D., Melacci S., Gori M.:
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
BibTeX: Download
Zanca D., Melacci S., Gori M., Rufa A.:
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
BibTeX: Download

2019

Marra G., Zanca D., Betti A., Gori M.:
Learning Activation Functions by Means of Kernel Based Neural Networks
Springer, 2019
ISBN: 9783030351656
DOI: 10.1007/978-3-030-35166-3_30
BibTeX: Download
Zanca D., Gori M., Rufa A.:
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
BibTeX: Download

2018

Zanca D.:
FixaTons: A collection of Human Fixations Datasets and Metrics for Scanpath Similarity
(2018)
BibTeX: Download
(Techreport)

2017

Zanca D., Gori M.:
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
BibTeX: Download

Awards and other Disseminations

2023
Emergent Talents Initiative (ETI) grant for the research project on “Human-Inspired Computer Vision”
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