Publications related to Data Preprocessing

NTIRE 2021 Depth Guided Image Relighting Challenge

Sabine Süsstrunk, Majed El Helou, Ruofan Zhou, Radu Timofte

Image relighting is attracting increasing interest due to its various applications. From a research perspective, image relighting can be exploited to conduct both image normalization for domain adaptation, and also for data augmentation. It also has multip ...

2021

Fair Voice Biometrics: Impact of Demographic Imbalance on Group Fairness in Speaker Recognition

Mirko Marras

Speaker recognition systems are playing a key role in modern online applications. Though the susceptibility of these systems to discrimination according to group fairness metrics has been recently studied, their assessment has been mainly focused on the di ...

ISCA-INT SPEECH COMMUNICATION ASSOC2021

Privacy-preserving and Personalized Federated Machine Learning for Medical Data

Felix Hans Michel Grimberg

The federated learning setting is prone to suffering from non-identically distributed data across participating agents. This gives rise to the task of model personalization, where agents collaborate to train several different machine learning models instea ...

2020

Improving Inter-Laboratory Reproducibility in Measurement of Biochemical Methane Potential (BMP)

Christof Holliger

Biochemical methane potential (BMP) tests used to determine the ultimate methane yield of organic substrates are not sufficiently standardized to ensure reproducibility among laboratories. In this contribution, a standardized BMP protocol was tested in a l ...

2020

Progress Toward Interpretable Machine Learning-Based Disruption Predictors Across Tokamaks

Olivier Sauter, Alessandro Pau

In this paper we lay the groundwork for a robust cross-device comparison of data-driven disruption prediction algorithms on DIII-D and JET tokamaks. In order to consistently carry on a comparative analysis, we define physics-based indicators of disruption ...

TAYLOR & FRANCIS INC2020

Dataset concerning the hourly conversion factors for the cumulative energy demand and its non-renewable part, and hourly GHG emission factors of the Swiss mix during a one-year period (2016 and 2017)

Didier Albert Simon Vuarnoz, Sergi Aguacil Moreno

The provided data are the hourly CO2-eq emission factors, and the hourly conversion factors for the cumulative energy demand and its non-renewable part for the Swiss electricity mix over one year (2016 and 2017). These data have been assessed on the base o ...

2020

Adaptation and Learning Over Networks Under Subspace Constraints & x2014;Part II: Performance Analysis

Ali H. Sayed, Stefan Vlaski, Roula Nassif

Part & x00A0;I of this paper considered optimization problems over networks where agents have individual objectives to meet, or individual parameter vectors to estimate, subject to subspace constraints that require the objectives across the network to lie ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

An Event-Based System for Low-Power ECG QRS Complex Detection

David Atienza Alonso, Tomas Teijeiro Campo, Silvio Zanoli, Fabio Montagna

One of the greatest challenges in the design of modern wearable devices is energy efficiency. While data processing and communication have received a lot of attention from the industry and academia, leading to highly efficient microcontrollers and transmis ...

IEEE2020

Cleaning Denial Constraint Violations through Relaxation

Anastasia Ailamaki, Manolis Karpathiotakis, Styliani Asimina Giannakopoulou

Data cleaning is a time-consuming process that depends on the data analysis that users perform. Existing solutions treat data cleaning as a separate offline process that takes place before analysis begins. Applying data cleaning before analysis assumes a p ...

ASSOC COMPUTING MACHINERY2020

Query-driven Repair of Functional Dependency Violations

Anastasia Ailamaki, Manolis Karpathiotakis, Styliani Asimina Giannakopoulou

Data cleaning is a time-consuming process that depends on the data analysis that users perform. Existing solutions treat data cleaning as a separate offline process that takes place before analysis begins. Applying data cleaning before analysis assumes a p ...

IEEE COMPUTER SOC2020

Data Preprocessing

NTIRE 2021 Depth Guided Image Relighting Challenge

Fair Voice Biometrics: Impact of Demographic Imbalance on Group Fairness in Speaker Recognition

Privacy-preserving and Personalized Federated Machine Learning for Medical Data

Improving Inter-Laboratory Reproducibility in Measurement of Biochemical Methane Potential (BMP)

Progress Toward Interpretable Machine Learning-Based Disruption Predictors Across Tokamaks

Dataset concerning the hourly conversion factors for the cumulative energy demand and its non-renewable part, and hourly GHG emission factors of the Swiss mix during a one-year period (2016 and 2017)

Adaptation and Learning Over Networks Under Subspace Constraints & x2014;Part II: Performance Analysis

An Event-Based System for Low-Power ECG QRS Complex Detection

Cleaning Denial Constraint Violations through Relaxation

Query-driven Repair of Functional Dependency Violations

Graph Chatbot

Chat with Graph Search

Privacy-preserving and Personalized Federated Machine Learning for Medical Data

Dataset concerning the hourly conversion factors for the cumulative energy demand and its non-renewable part, and hourly GHG emission factors of the Swiss mix during a one-year period (2016 and 2017)

An Event-Based System for Low-Power ECG QRS Complex Detection

Cleaning Denial Constraint Violations through Relaxation

Query-driven Repair of Functional Dependency Violations

Fair Voice Biometrics: Impact of Demographic Imbalance on Group Fairness in Speaker Recognition

Improving Inter-Laboratory Reproducibility in Measurement of Biochemical Methane Potential (BMP)

Adaptation and Learning Over Networks Under Subspace Constraints & x2014;Part II: Performance Analysis

NTIRE 2021 Depth Guided Image Relighting Challenge

Progress Toward Interpretable Machine Learning-Based Disruption Predictors Across Tokamaks