Learning with Rare Cases and Small Disjuncts. - Gary M. Weiss (ICML, 1995)

A model based reasoning approach to network monitoring. - Anoop Singhal; Gary M. Weiss; Johannes P. Ros (DART@CIKM, 1996)

ANSWER: Network Monitoring Using Object-Oriented Rules. - Gary M. Weiss; Johannes P. Ros; Anoop Singhal (AAAI/IAAI, 1998)

The Problem with Noise and Small Disjuncts. - Gary M. Weiss; Haym Hirsh (ICML, 1998)

Learning to Predict Rare Events in Event Sequences. - Gary M. Weiss; Haym Hirsh (KDD, 1998)

Implementing Design Patterns with Object-Oriented Rules. - Gary M. Weiss; Johannes P. Ros (J. Object Oriented Program., 1998)

A Quantitative Study of Small Disjuncts. - Gary M. Weiss; Haym Hirsh (AAAI/IAAI, 2000)

Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction. - Gary M. Weiss; Foster J. Provost (J. Artif. Intell. Res., 2003)

Mining with rarity: a unifying framework. - Gary M. Weiss (SIGKDD Explor., 2004)

Mining with Rare Cases. - Gary M. Weiss (The Data Mining and Knowledge Discovery Handbook, 2005)

Data Mining in Telecommunications. - Gary M. Weiss (The Data Mining and Knowledge Discovery Handbook, 2005)

Report on UBDM-05: Workshop on Utility-Based Data Mining. - Gary M. Weiss; Maytal Saar-Tsechansky; Bianca Zadrozny (SIGKDD Explor., 2005)

Maximizing classifier utility when training data is costly. - Gary M. Weiss; Ye Tian (SIGKDD Explor., 2006)

UBDM 2006: Utility-Based Data Mining 2006 workshop report. - Bianca Zadrozny; Gary M. Weiss; Maytal Saar-Tsechansky (SIGKDD Explor., 2006)

Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs? - Gary M. Weiss; Kate McCarthy; Bibi Zabar (DMIN, 2007)

Maximizing classifier utility when there are data acquisition and modeling costs. - Gary M. Weiss; Ye Tian (Data Min. Knowl. Discov., 2008)

Guest editorial: special issue on utility-based data mining. - Gary M. Weiss; Bianca Zadrozny; Maytal Saar-Tsechansky (Data Min. Knowl. Discov., 2008)

Are Decision Trees Always Greener on the Open (Source) Side of the Fence? - Samuel Moore; Daniel D'Addario; James Kurinskas; Gary M. Weiss (DMIN, 2009)

A Combinatorial Fusion Method for Feature Construction. - Ye Tian; Gary M. Weiss; D. Frank Hsu; Qiang Ma (DMIN, 2009)

Data Mining in the Real World: Experiences, Challenges, and Recommendations. - Gary M. Weiss (DMIN, 2009)

Quantification and semi-supervised classification methods for handling changes in class distribution. - Jack Chongjie Xue; Gary M. Weiss (KDD, 2009)

Mining Data Streams. - Tamraparni Dasu; Gary Weiss 001 (Encyclopedia of Data Warehousing and Mining, 2009)

Data Mining in the Telecommunications Industry. - Gary Weiss 001 (Encyclopedia of Data Warehousing and Mining, 2009)

Cell phone-based biometric identification. - Jennifer R. Kwapisz; Gary M. Weiss; Samuel Moore (BTAS, 2010)

Activity recognition using cell phone accelerometers. - Jennifer R. Kwapisz; Gary M. Weiss; Samuel Moore (SIGKDD Explor., 2010)

Mining with Rare Cases. - Gary M. Weiss (Data Mining and Knowledge Discovery Handbook, 2010)

The Impact of Small Disjuncts on Classifier Learning. - Gary M. Weiss (Data Mining, 2010)

Applications of mobile activity recognition. - Jeffrey W. Lockhart; Tony T. Pulickal; Gary M. Weiss (UbiComp, 2012)

A comparison of alternative client/server architectures for ubiquitous mobile sensor-based applications. - Gary M. Weiss; Jeffrey W. Lockhart (UbiComp, 2012)

WagTag: a dog collar accessory for monitoring canine activity levels. - Gary M. Weiss; Ashwin Nathan; J. B. Kropp; Jeffrey W. Lockhart (UbiComp (Adjunct Publication), 2013)

Limitations with activity recognition methodology & data sets. - Jeffrey W. Lockhart; Gary M. Weiss (UbiComp Adjunct, 2014)

The Benefits of Personalized Smartphone-Based Activity Recognition Models. - Jeffrey W. Lockhart; Gary M. Weiss (SDM, 2014)

Smartwatch-based biometric gait recognition. - Andrew H. Johnston; Gary M. Weiss (BTAS, 2015)

Smartwatch-based activity recognition: A machine learning approach. - Gary M. Weiss; Jessica L. Timko; Catherine M. Gallagher; Kenichi Yoneda; Andrew J. Schreiber (BHI, 2016)

Actitracker: A Smartphone-Based Activity Recognition System for Improving Health and Well-Being. - Gary M. Weiss; Jeffrey W. Lockhart; Tony T. Pulickal; Paul T. McHugh; Isaac H. Ronan; Jessica L. Timko (DSAA, 2016)

Maintaining the Balance between Privacy and Data Integrity in Internet of Things. - Md. Zakirul Alam Bhuiyan; Tian Wang 001; Thaier Hayajneh; Gary M. Weiss (ICMSS, 2017)

Identifying sunni extremist propaganda with deep learning. - Andrew H. Johnston; Gary M. Weiss (SSCI, 2017)

Smartwatch-based transcription biometrics. - Francesco Ciuffo; Gary M. Weiss (UEMCON, 2017)

Mobile sensor-based biometrics using common daily activities. - Kenichi Yoneda; Gary M. Weiss (UEMCON, 2017)

Cost-Sensitive Learning: Preface. - Luís Torgo; Stan Matwin; Gary Weiss 001; Nuno Moniz; Paula Branco (COST@SDM, 2018)

Identification of Candidate Genes Responsible for Age-related Macular Degeneration using Microarray Data. - Yuhan Hao; Gary M. Weiss; Stuart M. Brown (Int. J. Serv. Sci. Manag. Eng. Technol., 2018)

Mobile Target Tracking with Multiple Objectives in Wireless Sensor Networks. - Md. Zakirul Alam Bhuiyan; Gary M. Weiss; Tian Wang 001; Geyong Min (Mission-Oriented Sensor Networks and Systems (1), 2019)

An Overview of Wearable Computing. - Gary M. Weiss; Md. Zakirul Alam Bhuiyan (Mission-Oriented Sensor Networks and Systems (2), 2019)

Smartphone and Smartwatch-Based Biometrics Using Activities of Daily Living. - Gary M. Weiss; Kenichi Yoneda; Thaier Hayajneh (IEEE Access, 2019)

WISDM Smartphone and Smartwatch Activity and Biometrics Dataset. - Gary Weiss 001 (UCI Machine Learning Repository, 2019)

Predicting Student Performance in a Master's Program in Data Science using Admissions Data. - Yijun Zhao; Qiangwen Xu; Ming Chen; Gary Weiss 001 (EDM, 2020)

A College Major Recommendation System. - Samuel Alexander Stein; Gary M. Weiss; Yiwen Chen; Daniel D. Leeds (RecSys, 2020)

Event Detection Through Differential Pattern Mining in Cyber-Physical Systems. - Md. Zakirul Alam Bhuiyan; Jie Wu 001; Gary M. Weiss; Thaier Hayajneh; Tian Wang 001; Guojun Wang 001 (IEEE Trans. Big Data, 2020)

Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments. - Gary Weiss 001; Nam Nguyen; Karla Dominguez; Daniel D. Leeds (EDM, 2021)

Measuring the Academic Impact of Course Sequencing using Student Grade Data. - Tess Gutenbrunner; Daniel D. Leeds; Spencer Ross; Michael Riad-Zaky; Gary Weiss 001 (EDM, 2021)

Mining Course Groupings based on Academic Performance. - Daniel D. Leeds; Tianyi Zhang; Gary Weiss 001 (EDM, 2021)

Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments: Extended Version. - Gary M. Weiss; Nam Nguyen; Karla Dominguez; Daniel D. Leeds (CoRR, 2021)

Assessing Instructor Effectiveness Based on Future Student Performance. - Gary Weiss 001; Erik Brown; Michael Riad-Zaky; Ruby Iannone; Daniel D. Leeds (EDM, 2022)

The Impact of Semester Gaps on Student Grades. - Gary Weiss 001; Joseph Denham; Daniel D. Leeds (EDM, 2022)

Generalized Sequential Pattern Mining of Undergraduate Courses. - Daniel D. Leeds; Cody Chen; Yijun Zhao; Fiza Metla; James Guest; Gary Weiss 001 (EDM, 2022)

An Analysis of Grading Patterns in Undergraduate University Courses. - Gary M. Weiss; Luisa A. L. Rosa; Hyun Jeong; Daniel D. Leeds (COMPSAC, 2023)

The Construction and Analysis of Course Grades Across Public Universities. - Hyun Jeong; Gary M. Weiss; Audrey Leung; Daniel D. Leeds (EDM, 2024)

GPT vs. Llama2: Which Comes Closer to Human Writing? - Fernando Martinez 003; Gary M. Weiss; Miguel Palma; Haoran Xue; Alexander Borelli; Yijun Zhao (EDM, 2024)

Predicting GRE Scores from Application Materials in Test-Optional Admissions. - Yijun Zhao; Zhengxin Qi; Son Tung Do; John Grossi; Jee Hun Kang; Gary M. Weiss (EDM, 2024)

Introduction to the Minitrack on Educational Data Mining for Decision Making. - Yi Ding; Daniel D. Leeds; Yijun Zhao; Gary Weiss 001 (HICSS, 2024)

A Quantitative Machine Learning Approach to Evaluating Letters of Recommendation. - Yijun Zhao; Tianyu Wang; Douglas Mensah; Ellise Parnoff; Siyi He; Gary Weiss 001 (HICSS, 2024)

Unveiling Bias: Analyzing Race and Gender Disparities in AI-Generated Imagery. - David Cordero; Yijun Zhao; Priscilla Diaz; Gary M. Weiss (COMPSAC, 2025)

Decoding Fatphobia: Examining Anti-Fat and Pro-Thin Bias in AI-Generated Images. - Jane Warren; Gary M. Weiss; Fernando Martinez; Annika Guo; Yijun Zhao (NAACL (Findings), 2025)

A Secure Blockchain-Assisted Framework for Real-Time Maritime Environmental Compliance Monitoring. - William C. Quigley; Mohamed Rahouti; Gary M. Weiss (CoRR, 2025)