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09/16/2023
Rethinking Learning Rate Tuning in the Era of Large Language Models
Large Language Models (LLMs) represent the recent success of deep learni...
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08/21/2023
Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning
Numerical reasoning is vital for natural language processing models to u...
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06/14/2023
Variance-Preserving-Based Interpolation Diffusion Models for Speech Enhancement
The goal of this study is to implement diffusion models for speech enhan...
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02/16/2023
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking
The increasing use of Machine Learning (ML) software can lead to unfair ...
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02/16/2023
Preventing Discriminatory Decision-making in Evolving Data Streams
Bias in machine learning has rightly received significant attention over...
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02/16/2023
Individual Fairness Guarantee in Learning with Censorship
Algorithmic fairness, studying how to make machine learning (ML) algorit...
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01/29/2023
Fair Decision-making Under Uncertainty
There has been concern within the artificial intelligence (AI) community...
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01/09/2023
Unveiling and Mitigating Bias in Ride-Hailing Pricing for Equitable Policy Making
Ride-hailing services have skyrocketed in popularity due to the convenie...
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04/17/2022
Attention Mechanism based Cognition-level Scene Understanding
Given a question-image input, the Visual Commonsense Reasoning (VCR) mod...
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03/30/2022
Longitudinal Fairness with Censorship
Recent works in artificial intelligence fairness attempt to mitigate dis...
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02/15/2022
Fairness Amidst Non-IID Graph Data: A Literature Review
Fairness in machine learning (ML), the process to understand and correct...
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01/27/2022
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences
The need to analyze information from streams arises in a variety of appl...
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10/09/2021
Research on Knowledge based Expert System for Medical Diagnosis
In this paper we propose the design and implementation of a generic medi...
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08/17/2021
FARF: A Fair and Adaptive Random Forests Classifier
As Artificial Intelligence (AI) is used in more applications, the need t...
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08/13/2021
Online Fairness-Aware Learning with Imbalanced Data Streams
Data-driven learning algorithms are employed in many online applications...
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08/06/2021
Interpretable Visual Understanding with Cognitive Attention Network
While image understanding on recognition-level has achieved remarkable a...
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04/12/2021
Complex Spectral Mapping With Attention Based Convolution Recurrent Neural Network for Speech Enhancement
Speech enhancement has benefited from the success of deep learning in te...
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03/27/2021
LSTM Based Sentiment Analysis for Cryptocurrency Prediction
Recent studies in big data analytics and natural language processing dev...
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12/06/2020
A Data-driven Human Responsibility Management System
An ideal safe workplace is described as a place where staffs fulfill res...
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12/06/2020
Using Machine Learning to Automate Mammogram Images Analysis
Breast cancer is the second leading cause of cancer-related death after ...
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10/15/2020
Online Decision Trees with Fairness
While artificial intelligence (AI)-based decision-making systems are inc...
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10/14/2020
Disentangled Dynamic Graph Deep Generation
Deep generative models for graphs have exhibited promising performance i...
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07/16/2019
FAHT: An Adaptive Fairness-aware Decision Tree Classifier
Automated data-driven decision-making systems are ubiquitous across a wi...
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08/24/2018
