A critical survey on fairness benefits of XAI
In this critical survey, we analyze typical claims on the relationship between explainable AI
(XAI) and fairness to disentangle the multidimensional relationship between these two …
(XAI) and fairness to disentangle the multidimensional relationship between these two …
A Critical Survey on Fairness Benefits of Explainable AI
In this critical survey, we analyze typical claims on the relationship between explainable AI
(XAI) and fairness to disentangle the multidimensional relationship between these two …
(XAI) and fairness to disentangle the multidimensional relationship between these two …
Fairness-aware graph neural networks: A survey
Graph Neural Networks (GNNs) have become increasingly important due to their
representational power and state-of-the-art predictive performance on many fundamental …
representational power and state-of-the-art predictive performance on many fundamental …
Personal research knowledge graphs
Maintaining research-related information in an organized manner can be challenging for a
researcher. In this paper, we envision personal research knowledge graphs (PRKGs) as a …
researcher. In this paper, we envision personal research knowledge graphs (PRKGs) as a …
Similar cases recommendation using legal knowledge graphs
JS Dhani, R Bhatt, B Ganesan, P Sirohi… - arxiv preprint arxiv …, 2021 - arxiv.org
A legal knowledge graph constructed from court cases, judgments, laws and other legal
documents can enable a number of applications like question answering, document …
documents can enable a number of applications like question answering, document …
[HTML][HTML] An ecosystem for personal knowledge graphs: A survey and research roadmap
This paper presents an ecosystem for personal knowledge graphs (PKGs), commonly
defined as resources of structured information about entities related to an individual, their …
defined as resources of structured information about entities related to an individual, their …
BFFN: A novel balanced feature fusion network for fair facial expression recognition
Facial expression recognition (FER) technology has become increasingly mature and
applicable in recent years. However, it still suffers from the bias of expression class, which …
applicable in recent years. However, it still suffers from the bias of expression class, which …
Fine grained classification of personal data entities with language models
Fine grained entity classification is the task of assigning context-specific, fine grained labels
to entities extracted in an NLP Pipeline. Before the advent of language models, several …
to entities extracted in an NLP Pipeline. Before the advent of language models, several …
Fairness and sequential decision making: Limits, lessons, and opportunities
As automated decision making and decision assistance systems become common in
everyday life, research on the prevention or mitigation of potential harms that arise from …
everyday life, research on the prevention or mitigation of potential harms that arise from …
Mitigating Data Sparsity in Integrated Data through Text Conceptualization
We study the data sparsity problem for data generated from an integration system. We
approach the problem from a textual information extraction perspective and propose to …
approach the problem from a textual information extraction perspective and propose to …