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10/21/2021
Categorizing Items with Short and Noisy Descriptions using Ensembled Transferred Embeddings
Item categorization is a machine learning task which aims at classifying...
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09/29/2021
Fairness-Driven Private Collaborative Machine Learning
The performance of machine learning algorithms can be considerably impro...
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01/13/2021
A Non-Parametric Subspace Analysis Approach with Application to Anomaly Detection Ensembles
Identifying anomalies in multi-dimensional datasets is an important task...
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01/21/2020
Improving Label Ranking Ensembles using Boosting Techniques
Label ranking is a prediction task which deals with learning a mapping b...
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01/21/2020
Algorithmic Fairness
An increasing number of decisions regarding the daily lives of human bei...
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03/23/2018
Quantifying Surveillance in the Networked Age: Node-based Intrusions and Group Privacy
From the "right to be left alone" to the "right to selective disclosure"...
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12/19/2016
Handwritten Signature Verification Using Hand-Worn Devices
Online signature verification technologies, such as those available in b...
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08/05/2016