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02/02/2023
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations
Several recent works encourage the use of a Bayesian framework when asse...
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11/14/2022
A Survey on Preserving Fairness Guarantees in Changing Environments
Human lives are increasingly being affected by the outcomes of automated...
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05/31/2022
Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees
The statistical characteristics of instance-label pairs often change wit...
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05/25/2022
Transitions from P to NP-hardness: the case of the Linear Ordering Problem
In this paper we evaluate how constructive heuristics degrade when a pro...
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07/05/2021
When and How to Fool Explainable Models (and Humans) with Adversarial Examples
Reliable deployment of machine learning models such as neural networks c...
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12/28/2020
Analysis of Dominant Classes in Universal Adversarial Perturbations
The reasons why Deep Neural Networks are susceptible to being fooled by ...
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11/30/2020
Probabilistic Load Forecasting Based on Adaptive Online Learning
Load forecasting is crucial for multiple energy management tasks such as...
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11/05/2020
A revisited branch-and-cut algorithm for large-scale orienteering problems
The orienteering problem is a route optimization problem which consists ...
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04/30/2020
On Solving Cycle Problems with Branch-and-Cut: Extending Shrinking and Exact Subcycle Elimination Separation Algorithms
In this paper, we extend techniques developed in the context of the Trav...
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04/14/2020
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions
Despite the remarkable performance and generalization levels of deep lea...
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02/11/2020
A review on outlier/anomaly detection in time series data
Recent advances in technology have brought major breakthroughs in data c...
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05/26/2019
Taxonomization of Combinatorial Optimization Problems in Fourier Space
We propose and develop a novel framework for analyzing permutation-based...
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09/17/2018
Merge Non-Dominated Sorting Algorithm for Many-Objective Optimization
Many Pareto-based multi-objective evolutionary algorithms require to ran...
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06/12/2018
A review on distance based time series classification
Time series classification is an increasing research topic due to the va...
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01/09/2018
An efficient K -means clustering algorithm for massive data
The analysis of continously larger datasets is a task of major importanc...
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08/31/2016
Towards Competitive Classifiers for Unbalanced Classification Problems: A Study on the Performance Scores
Although a great methodological effort has been invested in proposing co...
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12/10/2015
Computing factorized approximations of Pareto-fronts using mNM-landscapes and Boltzmann distributions
NM-landscapes have been recently introduced as a class of tunable rugged...
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05/22/2014
Mathematical Programming Strategies for Solving the Minimum Common String Partition Problem
The minimum common string partition problem is an NP-hard combinatorial ...
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01/16/2013
