Dario Zanca
Dr. Dario Zanca
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik
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
- 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)
2024
- Albert T., Eskofier B., Zanca D.:
From patches to objects: exploiting spatial reasoning for better visual representations
In: Discover Applied Sciences 6 (2024), Article No.: 232
ISSN: 3004-9261
DOI: 10.1007/s42452-024-05894-2
BibTeX: Download - Cartella G., Cornia M., Cuculo V., D'Amelio A., Zanca D., Boccignone G., Cucchiara R.:
Trends, Applications, and Challenges in Human Attention Modelling
33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (Jeju, 3. August 2024 - 9. August 2024)
In: Kate Larson (ed.): IJCAI International Joint Conference on Artificial Intelligence 2024
BibTeX: Download - Dietz S., Altstidl TR., Zanca D., Eskofier B., Nguyen A.:
How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series
International Joint Conference on Neural Networks (IJCNN) (Yokohama, 30. June 2024 - 5. July 2024)
DOI: 10.1109/IJCNN60899.2024.10650421
URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10650421
BibTeX: Download - Förstel S., Förstel M., Gallistl M., Zanca D., Eskofier B., Rothgang EM.:
Data quality in hospital information systems: Lessons learned from analyzing 30 years of patient data in a regional German hospital
In: International Journal of Medical Informatics 192 (2024), Article No.: 105636
ISSN: 1386-5056
DOI: 10.1016/j.ijmedinf.2024.105636
BibTeX: Download - Klede K., Altstidl TR., Zanca D., Eskofier B.:
The Impact of Random Models on Standardized Clustering Similarity
In: IEEE Access (2024)
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2024.3507133
URL: https://ieeexplore.ieee.org/document/10769363
BibTeX: Download - Roider J., Nguyen A., Zanca D., Eskofier B.:
Assessing the Performance of Remaining Time Prediction Methods for Business Processes
In: IEEE Access (2024), p. 1-19
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2024.3459648
URL: https://ieeexplore.ieee.org/abstract/document/10679137
BibTeX: Download - Roider J., Wang W., Zanca D., Matzner M., Eskofier B.:
Predictions in Predictive Process Monitoring with Previously Unseen Categorical Values
6th International Conference on Process Mining (Technical University of Denmark, 14. October 2024 - 18. October 2024)
BibTeX: Download - Roider J., Zanca D., Eskofier B.:
Efficient Training of Recurrent Neural Networks for Remaining Time Prediction in Predictive Process Monitoring
BPM: International Conference on Business Process Management (Krakow, 1. September 2024 - 6. September 2024)
In: Andrea Marrella, Manuel Resinas, Mieke Jans, Michael Rosemann (ed.): Business Process Management, 22nd International Conference, BPM 2024, Krakow, Poland, September 1–6, 2024, Proceedings, Cham: 2024
DOI: 10.1007/978-3-031-70396-6
URL: https://link.springer.com/book/10.1007/978-3-031-70396-6
BibTeX: Download - Schlieper P., Dombrowski M., Nguyen A., Zanca D., Eskofier B.:
Data-Centric Benchmarking of Neural Network Architectures for the Univariate Time Series Forecasting Task
In: Forecasting 6 (2024), p. 718-747
ISSN: 2571-9394
DOI: 10.3390/forecast6030037
BibTeX: Download - Schlieper P., Luft H., Klede K., Strohmeyer C., Eskofier B., Zanca D.:
Enhancing unsupervised outlier model selection: A study on ireos algorithms
In: ACM Transactions on Knowledge Discovery from Data 18 (2024), Article No.: 178
ISSN: 1556-4681
DOI: 10.1145/3653719
BibTeX: Download - Zürl M., Stoll P., Brehm I., Sueskind J., Raab R., Petermann J., Zanca D., Simon R., von Fersen L., Eskofier B.:
Automated long-term monitoring of stereotypical movement in polar bears under human care using machine learning
In: Ecological Informatics (2024), p. 102840
ISSN: 1574-9541
DOI: 10.1016/j.ecoinf.2024.102840
BibTeX: Download
2023
- Altstidl TR., Nguyen A., 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 - Karargyris A., Ahmed S., de Belen RA., Banerjee B., Ibrayev T., Kashyap S., Krupinski E., Kuang C., Madu P., Madu AB., Makowski S., Mathew AM., Rolff T., Shi B., Wu J., Zanca D.:
Discussion and recommendations from the 2023 ”Gaze Meets ML” workshop breakout session
2nd Gaze Meets Machine Learning Workshop 2023 (New Orleans, LA, 16. December 2023)
In: Amarachi Madu Blessing, Joy Wu, Danca Zario, Elizabeth A. Krupinski, Satyananda Kashyap, Alexandros Karargyris (ed.): Proceedings of The 2nd Gaze Meets ML workshop 2023
URL: https://proceedings.mlr.press/v226/karargyris24a.html
BibTeX: Download - Klede K., Altstidl TR., Zanca D., Eskofier B.:
p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison
Thirty-seventh Annual Conference on Neural Information Processing Systems (New Orleans, 10. December 2023 - 16. December 2023)
In: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine (ed.): Advances in Neural Information Processing Systems 36 2023
Open Access: https://proceedings.neurips.cc/paper_files/paper/2023/file/563d94819f68cb73d6a382809e587b54-Paper-Conference.pdf
URL: https://proceedings.neurips.cc/paper_files/paper/2023/file/563d94819f68cb73d6a382809e587b54-Paper-Conference.pdf
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 - Köferl F., Jami J., Li J., Zanca D., Eskofier B., Zürl M.:
Tracking the visitor: An optical indoor system for visitor research in museums
In: Sonja Thiel, Johannes C. Bernhardt (ed.): AI in Museums: Reflections, Perspectives and Applications, Transcript-Verlag, 2023, p. 287 - 294 (Edition Museum, Vol.74)
ISBN: 9783839467107
DOI: 10.14361/9783839467107
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 - Zugarini A., Röthenbacher T., Klede K., Ernandes M., Eskofier B., Zanca D.:
Die Rätselrevolution: Automated German Crossword Solving
CLiC-it 2023 - Italian Conference on Computational Linguistics (Venice, 30. November 2023 - 2. December 2023)
In: Federico Boschetti, Gianluca E. Lebani, Bernardo Magnini, Nicole Novielli (ed.): Proceedings of the 9th Italian Conference on Computational Linguistics 2023
Open Access: https://ceur-ws.org/Vol-3596/paper54.pdf
URL: https://ceur-ws.org/Vol-3596/paper54.pdf
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
- 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