Dr. Dario Zanca

Machine Learning and Data Analytics Lab Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)

ICDAR 2021 Competition on On-Line Signature Verification (2021) Tolosana R, Vera-Rodriguez R, Gonzalez-Garcia C, Fierrez J, Rengifo S, Morales A, Ortega-Garcia J, et al. Conference contribution System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data (2021) Nguyen A, Foerstel S, Kittler T, Kurzyukov A, Schwinn L, Zanca D, Hipp T, et al. Journal article, Original article Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks (2021) Schwinn L, Raab R, Nguyen A, Zanca D, Eskofier B Conference contribution, Conference Contribution Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks (2021) Schwinn L, Nguyen A, Raab R, Zanca D, Eskofier B, Tenbrinck D, Burger M Conference contribution, Conference Contribution Identifying untrustworthy predictions in neural networks by geometric gradient analysis (2021) Schwinn L, Nguyen A, Raab R, Bungert L, Tenbrinck D, Zanca D, Burger M, Eskofier B Conference contribution, Conference Contribution Neurophthalmologic and Orthoptic Ambulatory Assessments Reveal Ocular and Visual Changes in Patients With Early Alzheimer and Parkinson's Disease (2020) Bargagli A, Fontanelli E, Zanca D, Castelli I, Rosini F, Maddii S, Di Donato I, et al. Journal article, Original article Gravitational Laws of Focus of Attention (2020) Zanca D, Melacci S, Gori M Book chapter / Article in edited volumes Toward Improving the Evaluation of Visual Attention Models: A Crowdsourcing Approach (2020) Zanca D, Melacci S, Gori M Conference contribution, Conference Contribution Gravitational models explain shifts on human visual attention (2020) Zanca D, Melacci S, Gori M, Rufa A Journal article, Original article Learning Activation Functions by Means of Kernel Based Neural Networks (2019) Marra G, Zanca D, Betti A, Gori M Authored book, Volume of book series