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1

Predicting and Understanding College Student Mental Health with Interpretable Machine Learning
Chowdhury, Meghna Roy ; Xuan, Wei ; Sen, Shreyas ; et al.
Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies. :257-268

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2

Understanding the Risk Factors of Spousal Violence Victimization Using Machine Learning and Network Approaches
Xu, Xuexin ; Ong, Hui Lin ; Lai, Pierce ; et al.
39 J. Fam. Violence 1581 (2024) / Journal of Family Violence, Vol. 39, Issue 8 (November 2024), pp. 1581-1592

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3

Understanding Sexual Homicide in Korea Using Machine Learning Algorithms
Kwon, Hyeokjun ; Lee, Sanggyung ; Georgoulis, Hana ; et al.
42 Behav. Sci. & L. 495 (2024) / Behavioral Sciences & the Law, Vol. 42, Issue 5 (September-October 2024), pp. 495-510

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4

Conti Inc.: Understanding the Internal Discussions of a Large Ransomware-as-a-Service Operator with Machine Learning
Ruellan, Estelle ; Paquet-Clouston, Masarah ; Garcia, Sebastian
13 Crime Sci. 1 (2024) / Crime Science, Vol. 13, pp. 1-13

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5

Measuring Machine Learning Harms from Stereotypes Requires Understanding Who Is Harmed by Which Errors in What Ways
Wang, Angelina ; Bai, Xuechunzi ; Barocas, Solon ; et al.
Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency. :746-762

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6

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7

SPATIUM: A Context-Aware Machine Learning Framework for Immersive Spatiotemporal Health Understanding
Liu, Yang ; Jang, SiYoung ; Montanari, Alessandro ; et al.
Proceedings of the 23rd Annual International Conference on Mobile Systems, Applications and Services. :759-764

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8

Text-Mining for Lawyers: How Machine Learning Techniques Can Advance Our Understanding of Legal Discourse
Dyevre, Arthur
14 Erasmus L. Rev. 7 (2021) / Erasmus Law Review, Vol. 14, Issue 1 (2021), pp. 7-23

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9

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10

Understanding Interaction with Machine Learning through a Thematic Analysis Coding Assistant: A User Study
Milana, Federico ; Costanza, Enrico ; Musolesi, Mirco ; et al.
Proceedings of the ACM on Human-Computer Interaction - CSCW. 9(2):1-35

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11

Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding
Cabral, Raphael ; Kalinowski, Marcos
Proceedings of the XXIII Brazilian Symposium on Software Quality. :703-705

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12

Understanding Oversubscribed Memory Management for Deep Learning Training
Lin, Mao ; Jeon, Hyeran
Proceedings of the 5th Workshop on Machine Learning and Systems. :46-55

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13

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14

Understanding the Perceptions and Practices of the Machine Learning Professionals in Bangladesh
Nowshin, Afroza ; Shiba, Shammi Akhter ; Saha, Pratyasha ; et al.
Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing. :647-652

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15

Understanding the relevance of parallelising machine learning algorithms using CUDA for sentiment analysis
Chai, Dakun Mang ; Moulitsas, Irene ; Bisandu, Desmond Bala
Proceedings of the 2024 8th International Conference on Advances in Artificial Intelligence. :28-38

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17

Understanding the OSS Communities of Deep Learning Frameworks: A Comparative Case Study of P y T orch and T ensor F low
Chen, Yunqi ; Wan, Zhiyuan ; Zhuang, Yifei ; et al.
ACM Transactions on Software Engineering and Methodology. 34(3):1-30

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18

DataBites: An embodied and co-creative museum exhibit to foster children's understanding of supervised machine learning
Darabipourshiraz, Hasti ; Ambani, Dev ; Long, Duri
Proceedings of the 16th Conference on Creativity & Cognition. :550-555

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19

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20

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