Wenbin Zhang

BMC Medical Informatics Decis. Mak., December, 2024

Toward fair graph neural networks via real counterfactual samples.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., November, 2024

Resource-Efficient and Timely Packet Header Vector (PHV) Encoding on Programmable Switches.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., October, 2024

Toward Full-Coverage and Low-Overhead Profiling of Network-Stack Latency.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., October, 2024

Fairness in Large Language Models: A Taxonomic Survey.

[BibT_eX]

[DOI]

Zhibo Chu

Sribala Vidyadhari Chinta

SIGKDD Explor., June, 2024

SeGDroid: An Android malware detection method based on sensitive function call graph learning.

[BibT_eX]

[DOI]

Expert Syst. Appl., January, 2024

Brain Tumor Classification on MRI in Light of Molecular Markers.

[BibT_eX]

[DOI]

CoRR, 2024

Fairness in Large Language Models in Three Hours.

[BibT_eX]

[DOI]

CoRR, 2024

AI-Driven Healthcare: A Survey on Ensuring Fairness and Mitigating Bias.

[BibT_eX]

[DOI]

Monique Antoinette Smith

Sribala Vidyadhari Chinta

CoRR, 2024

FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications.

[BibT_eX]

[DOI]

CoRR, 2024

Fairness Definitions in Language Models Explained.

[BibT_eX]

[DOI]

CoRR, 2024

Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI.

[BibT_eX]

[DOI]

Jocelyn Dzuong

CoRR, 2024

Spatial Fairness: The Case for its Importance, Limitations of Existing Work, and Guidelines for Future Research.

[BibT_eX]

[DOI]

Nripsuta Ani Saxena

Cyrus Shahabi

CoRR, 2024

History, Development, and Principles of Large Language Models-An Introductory Survey.

[BibT_eX]

[DOI]

CoRR, 2024

ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using ChatGPT.

[BibT_eX]

[DOI]

CoRR, 2024

Two kinds of average approximation accuracy.

[BibT_eX]

[DOI]

CAAI Trans. Intell. Technol., 2024

AI fairness in practice: Paradigm, challenges, and prospects.

[BibT_eX]

[DOI]

AI Mag., 2024

A Graph-Based Approach for Discovering Evidence Relationships Across Multiple Devices in Group Crimes.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Conference on Software Quality, 2024

Individual Fairness with Group Awareness Under Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Advancing Graph Counterfactual Fairness Through Fair Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Backdoor Attacks Against Low-Earth Orbit Satellite Fingerprinting.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2024, 2024

Accelerating Sketch-based End-Host Traffic Measurement with Automatic DPU Offloading.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2024, 2024

BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Improving Fairness in Machine Learning Software via Counterfactual Fairness Thinking.

[BibT_eX]

[DOI]

Zhipeng Yin

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Accessible Health Screening Using Body Fat Estimation by Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2024

Individual Fairness with Group Constraints in Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Group Fairness with Individual and Censorship Constraints.

[BibT_eX]

[DOI]

Sai Nath Chowdary Medikonduru

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

On the Efficiency of Privacy Attacks in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Effective Diversity Optimizations for High Accuracy Deep Ensembles.

[BibT_eX]

[DOI]

Hongpeng Jin

Maryam Akhavan Aghdam

Proceedings of the 6th IEEE International Conference on Cognitive Machine Intelligence, 2024

Transforming Digital Forensics with Large Language Models: Unlocking Automation, Insights, and Justice.

[BibT_eX]

[DOI]

Eric Xu

Weifeng Xu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Fairness in Large Language Models in Three Hours.

[BibT_eX]

[DOI]

Thang Viet Doan

Nhat Nguyen Minh Hoang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

ℓ1, 2-Norm and CUR Decomposition based Sparse Online Active Learning for Data Streams with Streaming Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2024

FedCAP: Robust Federated Learning via Customized Aggregation and Personalization.

[BibT_eX]

[DOI]

Proceedings of the Annual Computer Security Applications Conference, 2024

Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Deep Neural Network-Based Communication Failure Prediction Scheme in 5G RAN.

[BibT_eX]

[DOI]

Mohammad Ariful Islam

Hisham Siddique

Israat Haque

IEEE Trans. Netw. Serv. Manag., June, 2023

Fairness with censorship and group constraints.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., June, 2023

Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking.

[BibT_eX]

[DOI]

CoRR, 2023

Preventing Discriminatory Decision-making in Evolving Data Streams.

[BibT_eX]

[DOI]

CoRR, 2023

Individual Fairness Guarantee in Learning with Censorship.

[BibT_eX]

[DOI]

CoRR, 2023

Missed Opportunities in Fair AI.

[BibT_eX]

[DOI]

Nripsuta Ani Saxena

Sribala Vidyadhari Chinta

Cyrus Shahabi

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

FG<sup>2</sup>AN: Fairness-Aware Graph Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Optimization and Improvement of Fake News Detection using Voting Technique for Societal Benefit.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Exploring Approaches for Teaching Cybersecurity and AI for K-12.

[BibT_eX]

[DOI]

Yu Cai

Drew Youngstrom

Proceedings of the IEEE International Conference on Data Mining, 2023

Preventing Discriminatory Decision-making in Evolving Data Streams.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Individual Fairness Under Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

Rethinking Learning Rate Tuning in the Era of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

DRLO: Deep Representation Learning for Large Scale Off-track Satellite Remote Sensing Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

A Scalable Real-time Semantic Segmentation Network for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 2023 Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering, 2023

Censored Fairness through Awareness.

[BibT_eX]

[DOI]

Tina Hernandez-Boussard

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A survey on datasets for fairness-aware machine learning.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2022

Improving the generalization of unsupervised feature learning by using data from different sources on gene expression data for cancer diagnosis.

[BibT_eX]

[DOI]

Zhen Liu

Ruoyu Wang

Medical Biol. Eng. Comput., 2022

Attention Mechanism based Cognition-level Scene Understanding.

[BibT_eX]

[DOI]

CoRR, 2022

Fairness Amidst Non-IID Graph Data: A Literature Review.

[BibT_eX]

[DOI]

CoRR, 2022

Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrence.

[BibT_eX]

[DOI]

Thomas Guyet

Albert Bifet

CoRR, 2022

Research on fine-tuning CNN for cancer diagnosis with gene expression data.

[BibT_eX]

[DOI]

Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences.

[BibT_eX]

[DOI]

Thomas Guyet

Albert Bifet

Proceedings of the Computational Science - ICCS 2022, 2022

Longitudinal Fairness with Censorship.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Research on unsupervised feature learning for Android malware detection based on Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2021

A Generic Knowledge Based Medical Diagnosis Expert System.

[BibT_eX]

[DOI]

CoRR, 2021

Online Fairness-Aware Learning with Imbalanced Data Streams.

[BibT_eX]

[DOI]

Vasileios Iosifidis

Eirini Ntoutsi

CoRR, 2021

LSTM Based Sentiment Analysis for Cryptocurrency Prediction.

[BibT_eX]

[DOI]

Jayachander Surbiryala

Vasileios Iosifidis

Zhen Liu

Ji Zhang

CoRR, 2021

Harmonic-Mean Cox Models: A Ruler for Equal Attention to Risk.

[BibT_eX]

[DOI]

Proceedings of AAAI Symposium on Survival Prediction, 2021

Disentangled Dynamic Graph Deep Generation.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

FARF: A Fair and Adaptive Random Forests Classifier.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

A Generic Knowledge Based Medical Diagnosis Expert System.

[BibT_eX]

[DOI]

Proceedings of the iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence, Linz, Austria, 29 November 2021, 2021

An Unsupervised Feature Learning Method for Enhancing the Generalization of Cancer Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

Fair Decision-making Under Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Interpretable Visual Understanding with Cognitive Attention Network.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

AutoEncoder for Neuroimage.

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 2021

An Effective Algorithm for Classification of Text with Weak Sequential Relationships.

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 2021

Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

LSTM Based Sentiment Analysis for Cryptocurrency Prediction.

[BibT_eX]

[DOI]

Jayachander Surbiryala

Vasileios Iosifidis

Zhen Liu

Ji Zhang

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Online Decision Trees with Fairness.

[BibT_eX]

[DOI]

Liang Zhao

CoRR, 2020

Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables.

[BibT_eX]

[DOI]

Liming Zhang

Nathalie Japkowicz

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Predicting Workplace Injuries Using Machine Learning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree Classifier.

[BibT_eX]

[DOI]

Albert Bifet

Proceedings of the Discovery Science - 23rd International Conference, 2020

Deep Discriminative Learning for Autism Spectrum Disorder Classification.

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 2020

A Data-driven Human Responsibility Management System.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Context-aware Adaptive Outlier Detection in Trajectory Data.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Using Machine Learning to Automate Mammogram Images Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

FAHT: An Adaptive Fairness-aware Decision Tree Classifier.

[BibT_eX]

[DOI]

Eirini Ntoutsi

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

On Fairness-Aware Learning for Non-discriminative Decision-Making.

[BibT_eX]

[DOI]

Xuejiao Tang

Jianwu Wang

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

The Internet of Responsibilities - Connecting Human Responsibilities using Big Data and Blockchain.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Automated Rehabilitation Exercises Assessment in Wearable Sensor Data Streams.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Content-bootstrapped Collaborative Filtering for Medical Article Recommendations.

[BibT_eX]

[DOI]

Jianwu Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

PhD Forum: Recognizing Human Posture from Time-Changing Wearable Sensor Data Streams.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Smart Computing, 2017

A Hybrid Learning Framework for Imbalanced Stream Classification.

[BibT_eX]

[DOI]

Jianwu Wang

Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016

Wearable sensor based human posture recognition.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Using the machine learning approach to predict patient survival from high-dimensional survival data.

[BibT_eX]

[DOI]