Diversity in Machine Learning

4 July 2018

Papers citing "Diversity in Machine Learning"

23 / 23 papers shown

Title
MUSS: Multilevel Subset Selection for Relevance and Diversity Vu Nguyen Andrey Kan 60 0 0 14 Mar 2025
Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series Donato Riccio Fabrizio Maturo Elvira Romano AI4CE 16 1 0 12 Sep 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 49 1 0 01 Jun 2024
LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing Zeyang Ma A. Chen Dong Jae Kim Tse-Husn Chen Shaowei Wang 35 47 0 27 Apr 2024
WheelPose: Data Synthesis Techniques to Improve Pose Estimation Performance on Wheelchair Users William Huang Sam Ghahremani Siyou Pei Yang Zhang 34 3 0 25 Apr 2024
Metarobotics for Industry and Society: Vision, Technologies, and Opportunities E. Kaigom 46 8 0 31 Mar 2024
Learning About Social Context from Smartphone Data: Generalization Across Countries and Daily Life Moments Aurel Ruben Mäder L. Meegahapola D. Gática-Pérez 32 7 0 01 Jun 2023
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks Zohreh Aghababaeyan Manel Abdellatif Mahboubeh Dadkhah Lionel C. Briand AAML 34 16 0 08 Mar 2023
Explaining text classifiers through progressive neighborhood approximation with realistic samples Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AI4TS 22 0 0 11 Feb 2023
Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries L. Meegahapola William Droz Peter Kun A. D. Gotzen Chaitanya Nutakki ... Ronald Chenu-Abente Can Gunel Fausto Giunchiglia Laura Schelenz D. Gática-Pérez 36 35 0 06 Nov 2022
Towards Semantic Communication Protocols: A Probabilistic Logic Perspective Sejin Seo Jihong Park Seung-Woo Ko Jinho Choi M. Bennis Seong-Lyun Kim 30 22 0 08 Jul 2022
Simple Regularisation for Uncertainty-Aware Knowledge Distillation Martin Ferianc Miguel R. D. Rodrigues UQCV 47 0 0 19 May 2022
The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations Laura Schelenz Ivano Bison Matteo Busso A. D. Gotzen D. Gática-Pérez Fausto Giunchiglia L. Meegahapola Salvador Ruiz Correa 20 26 0 23 Feb 2022
Black-Box Testing of Deep Neural Networks Through Test Case Diversity Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S M. Bagherzadeh AAML 45 44 0 20 Dec 2021
XPROAX-Local explanations for text classification with progressive neighborhood approximation Yi Cai Arthur Zimek Eirini Ntoutsi 25 5 0 30 Sep 2021
Exploring Machine Teaching with Children Utkarsh Dwivedi Jaina Gandhi R. Parikh Merijke Coenraad Elizabeth M. Bonsignore Hernisa Kacorri LRM 40 24 0 23 Sep 2021
Smartphone Sensing for the Well-being of Young Adults: A Review L. Meegahapola D. Gática-Pérez 19 27 0 17 Dec 2020
Federated Edge Learning : Design Issues and Challenges Afaf Taik Soumaya Cherkaoui FedML 21 62 0 31 Aug 2020
LAQP: Learning-based Approximate Query Processing Meifan Zhang Hongzhi Wang VLM 10 11 0 05 Mar 2020
Crowdsourcing the Perception of Machine Teaching Jonggi Hong Kyungjun Lee June Xu Hernisa Kacorri HAI LRM 25 29 0 05 Feb 2020
Deep Manifold Embedding for Hyperspectral Image Classification Z. Gong Weidong Hu Xiaoyong Du P. Zhong Panhe Hu 29 27 0 24 Dec 2019
Coverage Guided Testing for Recurrent Neural Networks Wei Huang Youcheng Sun Xing-E. Zhao James Sharp Wenjie Ruan Jie Meng Xiaowei Huang AAML 25 47 0 05 Nov 2019
Determinantal point processes for machine learning Alex Kulesza B. Taskar 176 1,124 0 25 Jul 2012