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08/28/2023
MELT: Mining Effective Lightweight Transformations from Pull Requests
Software developers often struggle to update APIs, leading to manual, ti...
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11/24/2022
Quality-Based Conditional Processing in Multi-Biometrics: Application to Sensor Interoperability
As biometric technology is increasingly deployed, it will be common to r...
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07/31/2022
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks
In this paper, we study the post-hoc calibration of modern neural networ...
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11/02/2021
BiosecurID: a multimodal biometric database
A new multimodal biometric database, acquired in the framework of the Bi...
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02/12/2021
SOAR: A Synthesis Approach for Data Science API Refactoring
With the growth of the open-source data science community, both the numb...
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03/22/2020
Improving Calibration in Mixup-trained Deep Neural Networks through Confidence-Based Loss Functions
Deep Neural Networks (DNN) represent the state of the art in many tasks....
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12/31/2019
Statistical Models in Forensic Voice Comparison
This chapter describes a number of signal-processing and statistical-mod...
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09/18/2019
Bayesian Strategies for Likelihood Ratio Computation in Forensic Voice Comparison with Automatic Systems
This paper explores several strategies for Forensic Voice Comparison (FV...
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08/23/2019
Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks
Deep Neural Networks (DNNs) have achieved state-of-the-art accuracy perf...
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03/21/2019
Generative Models For Deep Learning with Very Scarce Data
The goal of this paper is to deal with a data scarcity scenario where de...
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10/23/2018
