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Found 16 papers, 3 papers with code
NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers
AI regulations are expected to prohibit machine learning models from using sensitive attributes during training.
Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time
Concept Drift is a phenomenon in which the underlying data distribution and statistical properties of a target domain change over time, leading to a degradation of the model's performance.
Representation of preferences for multiple criteria decision aiding in a new seven-valued logic
To this end, we present a specific procedure to construct a seven-valued preference relation and use it to define recommendations that consider robustness concerns by utilizing multiple outranking or value functions representing the decision maker s preferences.
FRRI: a novel algorithm for fuzzy-rough rule induction
In this paper, we introduce a novel rule induction algorithm called Fuzzy Rough Rule Induction (FRRI).
Discounting and Impatience
Our main purpose is, in practice, to provide a tractable setting within which individual intertemporal preferences can be outlined.
Dominance-based Rough Set Approach, basic ideas and main trends
Dominance-based Rough Approach (DRSA) has been proposed as a machine learning and knowledge discovery methodology to handle Multiple Criteria Decision Aiding (MCDA).
Fuzzy granular approximation classifier
At the end, we discuss the transparency of the FGAC and its advantage over other locally transparent methods.
Multi-class granular approximation by means of disjoint and adjacent fuzzy granules
In granular computing, fuzzy sets can be approximated by granularly representable sets that are as close as possible to the original fuzzy set w. r. t.
A Novel Machine Learning Approach to Data Inconsistency with respect to a Fuzzy Relation
Inconsistency in prediction problems occurs when instances that relate in a certain way on condition attributes, do not follow the same relation on the decision attribute.
Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction
In this context, we analyze the burned area severity estimation problem by exploiting a state-of-the-art deep learning framework.
Supporting decisions by unleashing multiple mindsets using pairwise comparisons method
With this aim we consider the spanning trees analysis which is a recently emerging idea for use with the pairwise comparison approach that represents the plurality of mindsets (in terms of a plurality of vectors corresponding to different spanning trees).
Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features
Despite the high accuracy offered by state-of-the-art deep natural-language models (e. g. LSTM, BERT), their application in real-life settings is still widely limited, as they behave like a black-box to the end-user.
The {0,1}-knapsack problem with qualitative levels
A variant of the classical knapsack problem is considered in which each item is associated with an integer weight and a qualitative level.
A multiple criteria methodology for priority based portfolio selection
The multicriteria method permits to compare projects in terms of their priority assessed on the basis of a set of both qualitative and quantitative criteria.
A robust hierarchical nominal classification method based on similarity and dissimilarity using loss function and an improved version of the deck of cards method
We propose also a procedure, based on the concept of loss function, to obtain a final classification fulfilling some requirements given by the decision maker and taking into account the hierarchy of criteria and the probabilistic assignments obtained applying SMAA.
Using a new parsimonious AHP methodology combined with the Choquet integral: An application for evaluating social housing initiatives
We propose a development of the Analytic Hierarchy Process (AHP) permitting to use the methodology also in cases of decision problems with a very large number of alternatives evaluated with respect to several criteria.
