Dario Zanca
Dr. 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
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
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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
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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
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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
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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
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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
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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
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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
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2023
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
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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
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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
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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
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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
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An Integrated Framework for Data Quality Fusion in Embedded Sensor Systems
In: Sensors 23 (2023)
ISSN: 1424-8220
DOI: 10.3390/s23083798
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Exploring misclassifications of robust neural networks to enhance adversarial attacks
In: Applied Intelligence (2023)
ISSN: 0924-669X
DOI: 10.1007/s10489-023-04532-5
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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
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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
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PolarBearVidID: A Video-Based Re-Identification Benchmark Dataset for Polar Bears
In: Animals 13 (2023), p. 801
ISSN: 2076-2615
DOI: 10.3390/ani13050801
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2022
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
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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
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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
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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
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Advanced Analysis of Electroretinograms Based on Wavelet Scalogram Processing
In: Applied Sciences 12 (2022), Article No.: 12365
ISSN: 2076-3417
DOI: 10.3390/app122312365
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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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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
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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)
DOI: 10.1109/ijcnn52387.2021.9534190
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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)
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(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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- 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