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Dario Zanca
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2020 – today
- 2024
- [j13]Johannes Roider
, An Nguyen
Assessing the Performance of Remaining Time Prediction Methods for Business Processes. IEEE Access 12: 130583-130601 (2024) - [j12]Stefan Foerstel
Data quality in hospital information systems: Lessons learned from analyzing 30 years of patient data in a regional German hospital. Int. J. Medical Informatics 192: 105636 (2024) - [j11]Philipp Schlieper
Enhancing Unsupervised Outlier Model Selection: A Study on IREOS Algorithms. ACM Trans. Knowl. Discov. Data 18(7): 178 (2024) - [c18]Johannes Roider, Dario Zanca, Bjoern M. Eskofier:
Efficient Training of Recurrent Neural Networks for Remaining Time Prediction in Predictive Process Monitoring. BPM 2024: 238-255 - [c17]Giuseppe Cartella, Marcella Cornia, Vittorio Cuculo, Alessandro D'Amelio, Dario Zanca, Giuseppe Boccignone, Rita Cucchiara:
Trends, Applications, and Challenges in Human Attention Modelling. IJCAI 2024: 7971-7979 - [c16]Simon Dietz, Thomas Altstidl, Dario Zanca, Björn M. Eskofier, An Nguyen:
How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series. IJCNN 2024: 1-8 - [i29]Giuseppe Cartella, Marcella Cornia, Vittorio Cuculo, Alessandro D'Amelio, Dario Zanca, Giuseppe Boccignone, Rita Cucchiara:
Trends, Applications, and Challenges in Human Attention Modelling. CoRR abs/2402.18673 (2024) - [i28]Simon Dietz, Thomas Altstidl, Dario Zanca, Björn M. Eskofier, An Nguyen:
How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series. CoRR abs/2406.15098 (2024) - [i27]Mahadev Prasad Panda, Matteo Tiezzi, Martina G. Vilas, Gemma Roig, Bjoern M. Eskofier, Dario Zanca:
Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks. CoRR abs/2408.02123 (2024) - [i26]Dario Zanca, Andrea Zugarini, Simon Dietz, Thomas R. Altstidl, Mark A. Turban Ndjeuha, Leo Schwinn, Björn M. Eskofier:
Caption-Driven Explorations: Aligning Image and Text Embeddings through Human-Inspired Foveated Vision. CoRR abs/2408.09948 (2024) - 2023
- [j10]Leo Schwinn
Exploring misclassifications of robust neural networks to enhance adversarial attacks. Appl. Intell. 53(17): 19843-19859 (2023) - [j9]Lapo Faggi
Local propagation of visual stimuli in focus of attention. Neurocomputing 560: 126775 (2023) - [j8]Christoph Scholl
An Integrated Framework for Data Quality Fusion in Embedded Sensor Systems. Sensors 23(8): 3798 (2023) - [j7]Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Björn M. Eskofier, Christopher John Rozell, Christopher Mutschler:
Active Learning of Ordinal Embeddings: A User Study on Football Data. Trans. Mach. Learn. Res. 2023 (2023) - [c15]Kai Klede
FastAMI - a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics. AAAI 2023: 8317-8324 - [c14]Andrea Zugarini, Thomas Rothenbacher, Kai Klede, Marco Ernandes, Bjoern M. Eskofier, Dario Zanca:
Die Rätselrevolution: Automated German Crossword Solving. CLiC-it 2023 - [c13]Thomas Altstidl
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. IJCNN 2023: 1-8 - [c12]Kai Klede, Thomas Altstidl, Dario Zanca, Bjoern M. Eskofier:
p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison. NeurIPS 2023 - [d4]Matthias Zuerl
PolarBearVidID: A Video-based Re-Identification Benchmark Dataset for Polar Bears. Zenodo, 2023 - [i25]Kai Klede, Leo Schwinn, Dario Zanca, Björn M. Eskofier:
FastAMI - a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics. CoRR abs/2305.03022 (2023) - [i24]Dario Zanca, Andrea Zugarini, Simon Dietz, Thomas R. Altstidl, Mark A. Turban Ndjeuha, Leo Schwinn, Bjoern M. Eskofier:
Contrastive Language-Image Pretrained Models are Zero-Shot Human Scanpath Predictors. CoRR abs/2305.12380 (2023) - [i23]Toni Albert, Bjoern M. Eskofier, Dario Zanca:
From Patches to Objects: Exploiting Spatial Reasoning for Better Visual Representations. CoRR abs/2305.12384 (2023) - 2022
- [j6]Ruben Tolosana
SVC-onGoing: Signature verification competition. Pattern Recognit. 127: 108609 (2022) - [j5]Mohamad Wehbi
Surface-Free Multi-Stroke Trajectory Reconstruction and Word Recognition Using an IMU-Enhanced Digital Pen. Sensors 22(14): 5347 (2022) - [j4]Leo Schwinn, Doina Precup, Björn M. Eskofier, Dario Zanca:
Behind the Machine's Gaze: Neural Networks with Biologically-inspired Constraints Exhibit Human-like Visual Attention. Trans. Mach. Learn. Res. 2022 (2022) - [c11]Sami Ede, Serop Baghdadlian, Leander Weber
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI. CD-MAKE 2022: 1-18 - [c10]Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Bjoern M. Eskofier, Dario Zanca:
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. ICML 2022: 19434-19449 - [d3]Thomas Altstidl
Scaled and Translated Image Recognition (STIR). Zenodo, 2022 - [d2]Aleksei E. Zhdanov
OculusGraphy: Ophthalmic Electrophysiological Signals Database. IEEE DataPort, 2022 - [d1]Matthias Zuerl
Nuremberg Polar Bear Dataset. Zenodo, 2022 - [i22]Christoffer Löffler
Don't Get Me Wrong: How to apply Deep Visual Interpretations to Time Series. CoRR abs/2203.07861 (2022) - [i21]Leo Schwinn, Doina Precup, Björn M. Eskofier, Dario Zanca:
Behind the Machine's Gaze: Biologically Constrained Neural Networks Exhibit Human-like Visual Attention. CoRR abs/2204.09093 (2022) - [i20]Sami Ede, Serop Baghdadlian, Leander Weber, An Nguyen, Dario Zanca, Wojciech Samek, Sebastian Lapuschkin:
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI. CoRR abs/2205.01929 (2022) - [i19]Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Björn M. Eskofier, Dario Zanca:
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. CoRR abs/2205.09619 (2022) - [i18]Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Bjoern M. Eskofier, Christopher John Rozell, Christopher Mutschler:
Active Learning of Ordinal Embeddings: A User Study on Football Data. CoRR abs/2207.12710 (2022) - [i17]Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca:
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. CoRR abs/2211.10288 (2022) - [i16]Leo Schwinn, Doina Precup, Björn M. Eskofier, Dario Zanca:
Simulating Human Gaze with Neural Visual Attention. CoRR abs/2211.12100 (2022) - 2021
- [j3]An Nguyen
System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data. IEEE Access 9: 117140-117152 (2021) - [j2]Christoph Scholl
A Smart Capacitive Sensor Skin with Embedded Data Quality Indication for Enhanced Safety in Human-Robot Interaction. Sensors 21(21): 7210 (2021) - [c9]Miguel Fabián Romero Rondón, Dario Zanca
HeMoG: A White-Box Model to Unveil the Connection between Saliency Information and Human Head Motion in Virtual Reality. AIVR 2021: 10-18 - [c8]Mohamad Wehbi
Towards an IMU-based Pen Online Handwriting Recognizer. ICDAR (3) 2021: 289-303 - [c7]Ruben Tolosana
ICDAR 2021 Competition on On-Line Signature Verification. ICDAR (4) 2021: 723-737 - [c6]Leo Schwinn, An Nguyen
Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks. IJCNN 2021: 1-8 - [c5]Leo Schwinn, An Nguyen
Identifying untrustworthy predictions in neural networks by geometric gradient analysis. UAI 2021: 854-864 - [i15]An Nguyen, Stefan Foerstel, Thomas Kittler, Andrey Kurzyukov, Leo Schwinn, Dario Zanca, Tobias Hipp, Da Jun Sun, Michael Schrapp, Eva Rothgang, Bjoern M. Eskofier:
System Design for a Data-driven and Explainable Customer Sentiment Monitor. CoRR abs/2101.04086 (2021) - [i14]Leo Schwinn, An Nguyen, René Raab
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis. CoRR abs/2102.12196 (2021) - [i13]Leo Schwinn, René Raab
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks. CoRR abs/2105.10304 (2021) - [i12]Mohamad Wehbi, Tim Hamann, Jens Barth, Peter Kaempf, Dario Zanca, Bjoern M. Eskofier:
Towards an IMU-based Pen Online Handwriting Recognizer. CoRR abs/2105.12434 (2021) - [i11]Ruben Tolosana, Rubén Vera-Rodríguez, Carlos Gonzalez-Garcia, Julian Fiérrez, Santiago Rengifo, Aythami Morales, Javier Ortega-Garcia, Juan-Carlos Ruiz-Garcia, Sergio Romero-Tapiador, Jiajia Jiang, Songxuan Lai, Lianwen Jin, Yecheng Zhu, Javier Galbally, Moisés Díaz, Miguel A. Ferrer, Marta Gomez-Barrero, Ilya A. Hodashinsky, Konstantin S. Sarin, Artem Slezkin, Marina Bardamova, Mikhail Svetlakov, Mohammad Saleem, Cintia Lia Szücs, Bence Kovári, Falk Pulsmeyer
ICDAR 2021 Competition on On-Line Signature Verification. CoRR abs/2106.00739 (2021) - [i10]Ruben Tolosana, Rubén Vera-Rodríguez, Carlos Gonzalez-Garcia, Julian Fiérrez, Aythami Morales, Javier Ortega-Garcia, Juan-Carlos Ruiz-Garcia, Sergio Romero-Tapiador, Santiago Rengifo, Miguel Caruana, Jiajia Jiang, Songxuan Lai, Lianwen Jin, Yecheng Zhu, Javier Galbally, Moisés Díaz Cabrera, Miguel Ángel Ferrer, Marta Gomez-Barrero, Ilya A. Hodashinsky, Konstantin S. Sarin, Artem Slezkin, Marina Bardamova, Mikhail Svetlakov, Mohammad Saleem, Cintia Lia Szücs, Bence Kovári, Falk Pulsmeyer, Mohamad Wehbi, Dario Zanca, Sumaiya Ahmad, Sarthak Mishra, Suraiya Jabin:
SVC-onGoing: Signature Verification Competition. CoRR abs/2108.06090 (2021) - 2020
- [j1]Dario Zanca
Gravitational Laws of Focus of Attention. IEEE Trans. Pattern Anal. Mach. Intell. 42(12): 2983-2995 (2020) - [c4]Alessandro Rossi, Sara Ermini
End-to-End Models for the Analysis of System 1 and System 2 Interactions based on Eye-Tracking Data. CogSci 2020 - [c3]Dario Zanca, Stefano Melacci, Marco Gori:
Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach. IJCNN 2020: 1-8 - [i9]Dario Zanca, Alessandra Rufa, Andrea Canessa, Silvio P. Sabatini:
End-to-End Models for the Analysis of Pupil Size Variations and Diagnosis of Parkinson's Disease. CoRR abs/2002.02383 (2020) - [i8]Dario Zanca, Stefano Melacci, Marco Gori:
Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach. CoRR abs/2002.04407 (2020) - [i7]Alessandro Rossi, Sara Ermini, Dario Bernabini, Dario Zanca, Marino Todisco, Alessandro Genovese, Antonio Rizzo:
End-to-End Models for the Analysis of System 1 and System 2 Interactions based on Eye-Tracking Data. CoRR abs/2002.11192 (2020) - [i6]Lapo Faggi, Alessandro Betti, Dario Zanca, Stefano Melacci, Marco Gori:
Wave Propagation of Visual Stimuli in Focus of Attention. CoRR abs/2006.11035 (2020) - [i5]Dario Zanca, Marco Gori, Stefano Melacci, Alessandra Rufa:
Gravitational Models Explain Shifts on Human Visual Attention. CoRR abs/2009.06963 (2020)
2010 – 2019
- 2019
- [c2]Giuseppe Marra
Learning Activation Functions by Means of Kernel Based Neural Networks. AI*IA 2019: 418-430 - 2018
- [i4]Dario Zanca, Valeria Serchi, Pietro Piu, Francesca Rosini, Alessandra Rufa:
FixaTons: A collection of Human Fixations Datasets and Metrics for Scanpath Similarity. CoRR abs/1802.02534 (2018) - [i3]Giuseppe Marra, Dario Zanca, Alessandro Betti, Marco Gori:
Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks. CoRR abs/1807.06302 (2018) - [i2]Dario Zanca, Marco Gori:
Visual Attention driven by Convolutional Features. CoRR abs/1807.10576 (2018) - 2017
- [c1]Dario Zanca, Marco Gori:
Variational Laws of Visual Attention for Dynamic Scenes. NIPS 2017: 3823-3832 - [i1]Francesco Giannini, Vincenzo Laveglia, Alessandro Rossi, Dario Zanca, Andrea Zugarini:
Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow. CoRR abs/1703.05298 (2017)
Coauthor Index
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last updated on 2024-12-10 20:52 CET by the dblp team
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