Variational Laws of Visual Attention for Dynamic Scenes. - Dario Zanca; Marco Gori (NIPS, 2017)

Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow. - Francesco Giannini; Vincenzo Laveglia; Alessandro Rossi 002; Dario Zanca; Andrea Zugarini (CoRR, 2017)

FixaTons: A collection of Human Fixations Datasets and Metrics for Scanpath Similarity. - Dario Zanca; Valeria Serchi; Pietro Piu; Francesca Rosini; Alessandra Rufa (CoRR, 2018)

Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks. - Giuseppe Marra; Dario Zanca; Alessandro Betti; Marco Gori (CoRR, 2018)

Visual Attention driven by Convolutional Features. - Dario Zanca; Marco Gori (CoRR, 2018)

Learning Activation Functions by Means of Kernel Based Neural Networks. - Giuseppe Marra; Dario Zanca; Alessandro Betti; Marco Gori (AI*IA, 2019)

End-to-End Models for the Analysis of System 1 and System 2 Interactions based on Eye-Tracking Data. - Alessandro Rossi 002; Sara Ermini; Dario Bernabini; Dario Zanca; Marino Todisco; Alessandro Genovese; Antonio Rizzo (CogSci, 2020)

Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach. - Dario Zanca; Stefano Melacci; Marco Gori (IJCNN, 2020)

End-to-End Models for the Analysis of Pupil Size Variations and Diagnosis of Parkinson's Disease. - Dario Zanca; Alessandra Rufa; Andrea Canessa; Silvio P. Sabatini (CoRR, 2020)

Wave Propagation of Visual Stimuli in Focus of Attention. - Lapo Faggi; Alessandro Betti; Dario Zanca; Stefano Melacci; Marco Gori (CoRR, 2020)

Gravitational Models Explain Shifts on Human Visual Attention. - Dario Zanca; Marco Gori; Stefano Melacci; Alessandra Rufa (CoRR, 2020)

Gravitational Laws of Focus of Attention. - Dario Zanca; Stefano Melacci; Marco Gori (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

HeMoG: A White-Box Model to Unveil the Connection between Saliency Information and Human Head Motion in Virtual Reality. - Miguel Fabián Romero Rondón; Dario Zanca; Stefano Melacci; Marco Gori; Lucile Sassatelli (AIVR, 2021)

ICDAR 2021 Competition on On-Line Signature Verification. - Ruben Tolosana; Rubén Vera-Rodríguez; Carlos Gonzalez-Garcia; Julian Fiérrez; Santiago Rengifo; Aythami Morales; Javier Ortega-Garcia; Juan-Carlos Ruiz-Garcia 002; Sergio Romero-Tapiador; Jiajia Jiang; Songxuan Lai; Lianwen Jin; et al. (ICDAR (4), 2021)

Towards an IMU-based Pen Online Handwriting Recognizer. - Mohamad Wehbi; Tim Hamann; Jens Barth; Peter Kämpf; Dario Zanca; Björn M. Eskofier (ICDAR (3), 2021)

Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks. - Leo Schwinn; An Nguyen; René Raab; Dario Zanca; Bjoern M. Eskofier; Daniel Tenbrinck; Martin Burger 001 (IJCNN, 2021)

Identifying untrustworthy predictions in neural networks by geometric gradient analysis. - Leo Schwinn; An Nguyen; René Raab; Leon Bungert; Daniel Tenbrinck; Dario Zanca; Martin Burger 001; Björn M. Eskofier (UAI, 2021)

System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data. - An Nguyen; Stefan Foerstel; Thomas Kittler; Andrey Kurzyukov; Leo Schwinn; Dario Zanca; Tobias Hipp; Da Jun Sun; Michael Schrapp; Eva Rothgang; Björn M. Eskofier (IEEE Access, 2021)

System Design for a Data-driven and Explainable Customer Sentiment Monitor. - An Nguyen; Stefan Foerstel; Thomas Kittler; Andrey Kurzyukov; Leo Schwinn; Dario Zanca; Tobias Hipp; Da Jun Sun; Michael Schrapp; Eva Rothgang; Bjoern M. Eskofier (CoRR, 2021)

A Smart Capacitive Sensor Skin with Embedded Data Quality Indication for Enhanced Safety in Human-Robot Interaction. - Christoph Scholl 002; Andreas Tobola; Klaus Ludwig; Dario Zanca; Bjoern M. Eskofier (Sensors, 2021)

Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI. - Sami Ede; Serop Baghdadlian; Leander Weber; An Nguyen; Dario Zanca; Wojciech Samek; Sebastian Lapuschkin (CD-MAKE, 2022)

Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. - Leo Schwinn; Leon Bungert; An Nguyen; René Raab; Falk Pulsmeyer; Doina Precup; Bjoern M. Eskofier; Dario Zanca (ICML, 2022)

Behind the Machine's Gaze: Biologically Constrained Neural Networks Exhibit Human-like Visual Attention. - Leo Schwinn; Doina Precup; Björn M. Eskofier; Dario Zanca (CoRR, 2022)

Simulating Human Gaze with Neural Visual Attention. - Leo Schwinn; Doina Precup; Björn M. Eskofier; Dario Zanca (CoRR, 2022)

SVC-onGoing: Signature verification competition. - Ruben Tolosana; Rubén Vera-Rodríguez; Carlos Gonzalez-Garcia; Julian Fiérrez; Aythami Morales; Javier Ortega-Garcia; Juan-Carlos Ruiz-Garcia 002; Sergio Romero-Tapiador; Santiago Rengifo; Miguel Caruana; Jiajia Jiang; Songxuan Lai; et al. (Pattern Recognit., 2022)

Surface-Free Multi-Stroke Trajectory Reconstruction and Word Recognition Using an IMU-Enhanced Digital Pen. - Mohamad Wehbi; Daniel Luge; Tim Hamann; Jens Barth; Peter Kämpf; Dario Zanca; Bjoern M. Eskofier (Sensors, 2022)

Behind the Machine's Gaze: Neural Networks with Biologically-inspired Constraints Exhibit Human-like Visual Attention. - Leo Schwinn; Doina Precup; Björn M. Eskofier; Dario Zanca (Trans. Mach. Learn. Res., 2022)

Nuremberg Polar Bear Dataset. - Matthias Zuerl; Philip Stoll; Ingrid Brehm; René Raab; Dario Zanca; Johanna Happold; Samira Kabri; Heiko Nille; Katharina Prechtel; Sophie Wuensch; Marie Krause; Stefan Seegerer; et al. (Zenodo, 2022)

Scaled and Translated Image Recognition (STIR). - Thomas Altstidl; An Nguyen; Leo Schwinn; Franz Köferl; Christopher Mutschler; Björn M. Eskofier; Dario Zanca (Zenodo, 2022)

Scaled and Translated Image Recognition (STIR) Source Data. - Thomas Altstidl; An Nguyen; Leo Schwinn; Franz Köferl; Christopher Mutschler; Björn M. Eskofier; Dario Zanca (Zenodo, 2022)

OculusGraphy: Ophthalmic Electrophysiological Signals Database. - Aleksei E. Zhdanov; Anton Yu. Dolganov; Vasilii I. Borisov; Mikhail Ronkin; Vyacheslav O. Ponomarev; Dario Zanca (IEEE DataPort, 2022)

FastAMI - a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics. - Kai Klede; Leo Schwinn; Dario Zanca; Björn M. Eskofier (AAAI, 2023)

Die Rätselrevolution: Automated German Crossword Solving. - Andrea Zugarini; Thomas Rothenbacher; Kai Klede; Marco Ernandes; Bjoern M. Eskofier; Dario Zanca (CLiC-it, 2023)

Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. - Thomas Altstidl; An Nguyen; Leo Schwinn; Franz Köferl; Christopher Mutschler; Björn M. Eskofier; Dario Zanca (IJCNN, 2023)

p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison. - Kai Klede; Thomas Altstidl; Dario Zanca; Bjoern M. Eskofier (NeurIPS, 2023)

Contrastive Language-Image Pretrained Models are Zero-Shot Human Scanpath Predictors. - Dario Zanca; Andrea Zugarini; Simon Dietz; Thomas R. Altstidl; Mark A. Turban Ndjeuha; Leo Schwinn; Bjoern M. Eskofier (CoRR, 2023)

From Patches to Objects: Exploiting Spatial Reasoning for Better Visual Representations. - Toni Albert; Bjoern M. Eskofier; Dario Zanca (CoRR, 2023)

An Integrated Framework for Data Quality Fusion in Embedded Sensor Systems. - Christoph Scholl 002; Maximilian Spiegler; Klaus Ludwig; Bjoern M. Eskofier; Andreas Tobola; Dario Zanca (Sensors, 2023)

Active Learning of Ordinal Embeddings: A User Study on Football Data. - Christoffer Löffler; Kion Fallah; Stefano Fenu; Dario Zanca; Björn M. Eskofier; Christopher John Rozell; Christopher Mutschler (Trans. Mach. Learn. Res., 2023)

PolarBearVidID: A Video-based Re-Identification Benchmark Dataset for Polar Bears. - Matthias Zuerl; Richard Dirauf; Franz Köferl; Nils Steinlein; Jonas Sueskind; Dario Zanca; Ingrid Brehm; Lorenzo von Fersen; Bjoern M. Eskofier (Zenodo, 2023)

Exploring misclassifications of robust neural networks to enhance adversarial attacks. - Leo Schwinn; René Raab; An Nguyen; Dario Zanca; Björn M. Eskofier (Appl. Intell., 2023)

Local propagation of visual stimuli in focus of attention. - Lapo Faggi; Alessandro Betti; Dario Zanca; Stefano Melacci; Marco Gori (Neurocomputing, 2023)

Efficient Training of Recurrent Neural Networks for Remaining Time Prediction in Predictive Process Monitoring. - Johannes Roider; Dario Zanca; Bjoern M. Eskofier (BPM, 2024)

Predictions in Predictive Process Monitoring with Previously Unseen Categorical Values. - Johannes Roider; Weixin Wang; Dario Zanca; Martin Matzner; Bjoern M. Eskofier (ICPM Workshops, 2024)

Trends, Applications, and Challenges in Human Attention Modelling. - Giuseppe Cartella; Marcella Cornia; Vittorio Cuculo; Alessandro D'Amelio; Dario Zanca; Giuseppe Boccignone; Rita Cucchiara (IJCAI, 2024)

How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series. - Simon Dietz; Thomas Altstidl; Dario Zanca; Björn M. Eskofier; An Nguyen (IJCNN, 2024)

The Impact of Random Models on Standardized Clustering Similarity. - Kai Klede; Thomas R. Altstidl; Dario Zanca; Björn M. Eskofier (IEEE Access, 2024)

Assessing the Performance of Remaining Time Prediction Methods for Business Processes. - Johannes Roider; An Nguyen; Dario Zanca; Bjoern M. Eskofier (IEEE Access, 2024)

Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks. - Mahadev Prasad Panda; Matteo Tiezzi; Martina G. Vilas; Gemma Roig; Bjoern M. Eskofier; Dario Zanca (CoRR, 2024)

Caption-Driven Explorations: Aligning Image and Text Embeddings through Human-Inspired Foveated Vision. - Dario Zanca; Andrea Zugarini; Simon Dietz; Thomas R. Altstidl; Mark A. Turban Ndjeuha; Leo Schwinn; Björn M. Eskofier (CoRR, 2024)

Data quality in hospital information systems: Lessons learned from analyzing 30 years of patient data in a regional German hospital. - Stefan Foerstel; Markus Förstel; Markus Gallistl; Dario Zanca; Bjoern M. Eskofier; Eva Rothgang (Int. J. Medical Informatics, 2024)

Enhancing Unsupervised Outlier Model Selection: A Study on IREOS Algorithms. - Philipp Schlieper; Hermann Luft; Kai Klede; Christoph Strohmeyer; Björn M. Eskofier; Dario Zanca (ACM Trans. Knowl. Discov. Data, 2024)

Robust and Efficient Writer-Independent IMU-Based Handwriting Recognization. - Jindong Li; Tim Hamann; Jens Barth; Peter Kämpf; Dario Zanca; Björn M. Eskofier (CoRR, 2025)

Understanding Cross-Model Perceptual Invariances Through Ensemble Metamers. - Lukas Boehm; Jonas Leo Mueller; Christoffer Löffler; Leo Schwinn; Björn M. Eskofier; Dario Zanca (CoRR, 2025)

Benchmarking Content-Based Puzzle Solvers on Corrupted Jigsaw Puzzles. - Richard Dirauf; Florian Wolz; Dario Zanca; Björn M. Eskofier (CoRR, 2025)

Don't get me wrong: How to apply deep visual interpretations to time series. - Christoffer Löffler; Wei-Cheng Lai; Dario Zanca; Lukas Schmidt; Björn M. Eskofier; Christopher Mutschler (Appl. Intell., 2025)

Stratify or Die: Rethinking Data Splits in Image Segmentation. - Naga Venkata Sai Jitin Jami; Thomas Altstidl; Jonas Mueller; Jindong Li; Dario Zanca; Björn M. Eskofier; Heike Leutheuser (CoRR, 2025)

FovEx: Human-Inspired Explanations for Vision Transformers and Convolutional Neural Networks. - Mahadev Prasad Panda; Matteo Tiezzi; Martina G. Vilas; Gemma Roig; Bjoern M. Eskofier; Dario Zanca (Int. J. Comput. Vis., 2025)