Research

Zanca, D., & Gori, M. Variational laws of visual attention for dynamic scenes (2017). International Conference on Neural Information Processing Systems (NeurIPS).

Zanca, D., Melacci, S., & Gori, M. (2019). Gravitational laws of focus of attention. IEEE transactions on pattern analysis and machine intelligence, 42(12), 2983-2995.

Marra, G., Zanca, D., Betti, A., & Gori, M. (2019). Learning Activation Functions by Means of Kernel Based Neural Networks. International Conference of the Italian Association for Artificial Intelligence (AIxIA).

Zanca, D., Gori, M., & Rufa, A. (2019). A unified computational framework for visual attention dynamics. Progress in brain research, 249, 183-188.

Zanca, D., Melacci, S., & Gori, M. (2020). Toward improving the evaluation of visual attention models: a crowdsourcing approach. IEEE International Joint Conference on Neural Networks (IJCNN).

Bargagli, A., Fontanelli, E., Zanca, D., Castelli, I., Rosini, F., Maddii, S., Di Donato, I., Carluccio, A., Battisti, C., Tosi, G. M., Dotti, M., & Rufa, A. (2020). Neurophthalmologic and Orthoptic Ambulatory Assessments Reveal Ocular and Visual Changes in Patients With Early Alzheimer and Parkinson's Disease. Frontiers in Neurology, 11.

Zanca, D., Gori, M., Melacci, S., & Rufa, A. (2020). Gravitational models explain shifts on human visual attention. Scientific Reports, 10(1), 1-9.

Muresanu, D. F., Rufa, A., Zanca, D., Rosu, O. V., Strilciuc, S., & Federico, A. (2020, May). Eye tracking as a potential tool to evaluate treatment efficacy in acute ischemic stroke clinical trials. In European Journal Of Neurology (Vol. 27, pp. 810-810). 111 River St, Hoboken 07030-5774, Nj Usa: Wiley.

Nguyen, A., Foerstel, S., Kittler, T., Kurzyukov, A., Schwinn, L., Zanca, D., Hipp, T., Da Jun, S., Schrapp, M., Rothgang, E., & Eskofier, B. (2021). System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data. IEEE Access, 9, 117140-117152.

Bargagli, A., Rosini, F., Zanca, D., Serchi, V., & Rufa, A. (2021). Ataxia with oculomotor apraxia type 2 (AOA2): an eye movement study of two siblings. Neurological Sciences, 1-4.

Scholl, C., Tobola, A., Ludwig, K., Zanca, D., Eskofier, B. (2021). A Smart Capacitive Sensor Skin with Embedded Data Quality Indication for Enhanced Safety in Human–Robot Interaction. Sensors. 21(21):7210.

Schwinn, L., Nguyen, A., Raab, R., Bungert, L., Tenbrinck, D., Zanca, D., & Eskofier, B. (2021). Identifying untrustworthy predictions in neural networks by geometric gradient analysis. Conference on Uncertainty in Artificial Intelligence (UAI)

Wehbi, M., Hamann, T., Barth, J., Kaempf, P., Zanca, D., & Eskofier, B. (2021). Towards an IMU-based Pen Online Handwriting Recognizer. International Conference on Document Analysis and Recognition (ICDAR).

Schwinn, L., Nguyen, A., Raab, R., Zanca, D., Eskofier, B. M., Tenbrinck, D., & Burger, M. (2021, July). Dynamically sampled nonlocal gradients for stronger adversarial attacks. IEEE International Joint Conference on Neural Networks (IJCNN).

Tolosana, R., Vera-Rodriguez, R., Gonzalez-Garcia, C., Fierrez, J., Rengifo, S., Morales, A., Ortega-Garcia, J., Ruiz-Garcia, J.C., Romero-Tapiador, S., Jiang, J., LaiLianwen, S., Zhu, Y., Galbally, J., Diaz, M., Ferrer, M.A., Gomez-BarreroIlya Hodashinsky, M., Sarin, K., Slezkin, A., Bardamova, M., Svetlakov, M., Saleem, M., Szücs, C.L., Kovari, B., Pulsmeyer, F., Wehbi, M., Zanca, D., Ahmad, S., Mishra, S., & Jabin, S. (2021). ICDAR 2021 Competition on On-Line Signature Verification. International Conference on Document Analysis and Recognition (ICDAR).

Rondon, M. R., Zanca, D., Melacci, S., Gori, M., & Sassatelli, L. (2021, November). HeMoG: A White-Box Model to Unveil the Connection Between Saliency Information and Human Head Motion in Virtual Reality. IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR).

Zuerl, M., Stoll, P., Brehm, I., Raab, R., Zanca, D., Kabri, S., Happold, J., Nille, H., Prechtel, K., Wuensch, S., Krause, M., Seegerer, S., von Fersen, L., & Eskofier, B. (2022). Automated Video-Based Analysis Framework for Behavior Monitoring of Individual Animals in Zoos Using Deep Learning—A Study on Polar Bears. Animals, 12(6), 692.

Tolosana, R., Vera-Rodriguez, R., Gonzalez-Garcia, C., Fierrez, J., Morales, A., Ortega-Garcia, J., Ruiz-Garcia, J. C., Romero-Tapiador, S., Rengifo, S., Caruana, M., Jiang, J., Lai, S., Jin, L., Zhu, Y., Galbally, J., Diaz, M., Ferrer, M. A., Gomez-Barro, M., Hodashinsky, I., Sarin, K., Artem, S., Bardamova, M., Svetlakov, M., Saleem, M., Sycs, C. L., Kovari, B., Pulsmeyer, F., Wehbi, M., Zanca, D., Ahmad, S., Mishra, S., & Jabin, S. (2022). SVC-onGoing: Signature Verification Competition. Pattern Recognition, 108609.

Rizzo, A., Ermini, S., Zanca, D., Bernabini, D., Rossi, A. (2022). A Machine Learning Approach for Detecting Cognitive Interference based on Eye-Tracking Data. Frontiers in Human Neuroscience.

Wehbi, M., Luge, D., Hamann, T., Barth, J., Kaempf, P., Zanca, D., & Eskofier, B. (2021). Surface-free Multii-Stroke Trajectory Reconstruction and Word Recognition Using an IMU-Enhanced Digital Pen. MDPI Sensors.

Schwinn, L., Precup, D., Eskofier, B., & Zanca, D. (2022). Behind the Machine's Gaze: Biologically Constrained Neural Networks Exhibit Human-like Visual Attention. Transactions on Machine Learning Research (TMLR)

Zhdanov, A., Dolganov, A., Zanca, D., Borisov, V., Ronkin, M., Advanced Analysis of Electroretinograms Based on Wavelet Scalogram Processing. (2022). Applied Sciences, 12(23):12365.

Schwinn, L., Bungert, L., Nguyen, A., Raab, R., Pulsmeyer, F., Precup, D., Eskofier, B., & Zanca, D. (2022). Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. International Conference on Machine Learning 2022 (ICML) 

Ede, S., Baghdadlian, S., Weber, L., Nguyen, A., Zanca, D., Samek, W., Lapuschkin, S. (2022). Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI. Cross Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE).

Schwinn, L., Precup, D., Eskofier, B., & Zanca, D. (2022). Simulating Human Gaze with Neural Visual Attention. Gaze meets ML Workshop, Oral presentation. International Conference on Neural Information Processing Systems 2022 (NeurIPS 2022 – GMML Workshop).

Schwinn, L., Raab, R., Nguyen, A., Zanca, D. & Eskofier, B. Exploring misclassifications of robust neural networks to enhance adversarial attacks. (2023). Applied Intelligence, Springer.

Zuerl, M., Dirauf, R., Koeferl, 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. (2023). Animals, 13(5), 801.

Loeffler, C., Fallah, K., Fenu, S., Zanca, D., Eskofier, B., Rozell, C.J., Mutschler, C. (2023). Active Learning of Ordinal Embeddings: A User Study on Football Data. Transactions on Machine Learning Research (TMLR)

Scholl, C., Spiegler, M., Ludwig, K., Eskofier, B., Tobola, A., Zanca, D. (2023) An Integrated Framework for Data Quality Fusion in Embedded Sensor. MDPI Sensors.

Zhdanov, A. E., Dolganov, A. Y., Zanca, D., Borisov, V. I.,  Lucian, E., Dorosinskiy,  L. G. (2023). Evaluation of the effectiveness of the decision support algorithm for physicians in retinal dystrophy using machine learning methods. Computer Optics.

Faggi, L., Betti, A., Zanca, D., Melacci, S., Gori, M., (2023). Local propagation of visual stimuli in focus of attention. Elsevier Neurocomputing.

Klede, K., Schwinn, L., Zanca, D., Eskofier, B. (2023). FastAMI - A Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics. Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI).

Altstidl, T., Nguyen, A., Schwinn, L., Köferl, F., Mutschler, C., Eskofier, B., Zanca, D. (2023). Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. IEEE International Joint Conference on Neural Networks (IJCNN).

Zugarini, A., Röthenbacher, T., Klede, K., Ernandes, M., Eskofier, B., Zanca, D. (2023). Die Rätselrevolution: Automated German Crossword Solving. Italian Conference on Computational Linguistics (CLiC-it).

Klede, K., Altstidl, T., Zanca, D., Eskofier, B. (2023). p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison. International Conference on Neural Information Processing Systems (NeurIPS).

Karargyris, A., Ahmed, S., Ryan de Belen, A., Banerjee, B., Ibrayev, T., Kashyap, S., Krupinski, E., Kuang, C., Madu, P., Madu, A., Makowski, S., Mathew, A., Rolff, T., Shi, B., Wu, J., Zanca, D. (2023). Discussion and recommendations from the 2023 "Gaze Meets ML" workshop breakout session. International Conference on Neural Information Processing Systems 2023 (NeurIPS 2023 – GMML Workshop).

Schlieper, P., Luft, H., Klede, K., Strohmeyer, C., Eskofier, B., Zanca, D. (2024). Enhancing Unsupervised Outlier Model Selection: A Study on IREOS Algorithms. ACM Transactions on Knowledge Discovery from Data.

Albert, T., Eskofier, B., Zanca, D. (2024). From Patches to Objects: Exploiting Spatial Reasoning for Better Visual Representations. Springer Discover Applied Sciences.

Salehi, F., Lopera Gonzalez, L., Bayat, S., Kleyer, A., Zanca, D., Brost, A., Schett, G., Eskofier, B. (2024). Machine Learning Prediction of Treatment Response to Biological Disease-Modifying Antirheumatic Drugs in Rheumatoid Arthritis. MDPI Journal of Clinical Medicine.

Dietz, S., Altstidl, T., Zanca, D., Eskofier, B., and Nguyen, A. (2024). How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series. IEEE International Joint Conference on Neural Networks (IJCNN).

Cartella, G., Cornia, M., Cuculo, V., D’Amelio, A., Zanca, D., Boccingnone, G., and Cucchiara, R. (2024). Trends, Applications, and Challenges in Human Attention Modelling. International Joint Conference on Artificial Intelligence (IJCAI Survey Track).