Faculty

Institution

Unit

Venue

Gary M. Weiss

Professor of Computer and Information Science Director of Fordham's MS in Computer Science program

Fordham University

Affiliations

Graduate School of Arts and Sciences

Computer and Information Sciences

Gary M. Weiss is currently serving as a Computer And Information Sciences Professor of Computer and Information Science Director of Fordham's MS in Computer Science program at Fordham University.

Honors

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Experiences

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Education

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Gary M. Weiss

Fordham University

Professor of Computer and Information Science Director of Fordham's MS in Computer Science program

You can click a keyword to filter the displayed items

data science computer science machine learning data mining knowledge discovery pattern recognition mobile computing biometrics predictive analytics computational intelligence machine learning research higher education technology wearable technology activity recognition statistics ubiquitous computing artificial intelligence mobile sensing pattern mining health technology small disjuncts physiological measurements vehicular technology human-computer interaction recommender systems information technology class imbalances class distribution classifier learning wireless communications information management supervised learning genetic algorithms mobile analytics rare event estimation network monitoring cost-sensitive machine learning data classification classifier utility rare cases object-oriented rules machine vision genetic programming accelerometers decision tree learning prediction modelling temporal pattern recognition failure prediction wearable electronics classification method mobile learning benchmark datasets gait analysis wearable systems training data machine learning methods rare events quantitative measure predictive patterns utility-based data mining system safety motion analysis frequent pattern mining rare metal human identification identification method fault forecasting sensor technology sensor design mobile interaction mobile security cell phone accelerometers tree induction empirical study daily living intelligent computing learning analytics educational data mining cybersecurity education analytics

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Decoding Fatphobia: Examining Anti-Fat and Pro-Thin Bias in AI-Generated Images. Findings of the Association for Computational Linguistics: NAACL 2022 (2025)

body imageimage communicationdeepfakespro-thin biaspsychologyartificial intelligencecognitive sciencebias

Unveiling Bias: Analyzing Race and Gender Disparities in AI-Generated Imagery. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2025)

racial discriminationcomputational intelligenceimage representationethnic studiesracealgorithmic biasgender studiesbias detectionartificial intelligencegender diversityafrican american studiesgender disparitiesbias

Admissions in the Age of AI: Detecting AI-Generated Application Materials in Higher Education. Scientific Reports (2024)

Yijun ZhaoAlexander BorelliFernando MartinezHaoran XueGary M. Weiss

ai-generated application materialshigher educationeducationai educationartificial intelligence

A Quantitative Machine Learning Approach to Evaluating Letters of Recommendation. Proceedings of the 57th Hawaii International Conference on System Sciences (HICSS) (2024)

text miningpredictive analyticsevaluating lettersmachine learning researchdata miningcollaborative filteringnatural language processingintelligent classificationmachine learningrecommender systemsdata scienceautomatic classificationlearning to rankinformation retrievalknowledge discoverygroup recommenders

Gpt vs. Llama2: Which Comes Closer to Human Writing?. Proceedings of The 17th International Conference on Educational Data Mining (EDM24) (2024)

creative writingtextual practicelinguisticssecond language writingapplied linguisticshuman writingwriting instructionlanguage

Introduction to the Minitrack on Educational Data Mining for Decision Making. Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2024)

Yi DingDaniel LeedsYijun ZhaoGary Weiss

educational data miningdata sciencedecision makingdata mining

Introduction to the Minitrack on Learning Analytics. Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2024)

Yi DingDaniel LeedsYijun ZhaoGary Weiss

data sciencelearning analytics

Predicting Gre Scores From Application Materials in Test-Optional Admissions. Proceedings of The 17th International Conference on Educational Data Mining (EDM24) (2024)

model selectionpredictive analyticsautomated assessmentsoftware testingperformance evaluationeducational assessmentgre scoreshigher educationstatistics

The Construction and Analysis of Course Grades Across Public Universities. Proceedings of The 17th International Conference on Educational Data Mining (EDM24) (2024)

higher education managementeducation policystudent assessmenthigher education policyeducational assessmenthigher education assessmenthigher educationeducationeducational administrationstudent outcomeseducational research

A Machine Learning Approach to Graduate Admissions and the Role of Letters of Recommendation. PLoS ONE (2023)

Yijun ZhaoXiaoyu ChenHaoran XueGary M. Weiss

machine learning

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Gary M. Weiss

Professor of Computer and Information Science Director of Fordham's MS in Computer Science program

Fordham University

Affiliations

Graduate School of Arts and Sciences

Computer and Information Sciences

Gary M. Weiss is currently serving as a Computer And Information Sciences Professor of Computer and Information Science Director of Fordham's MS in Computer Science program at Fordham University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Gary M. Weiss

Fordham University

Professor of Computer and Information Science Director of Fordham's MS in Computer Science program

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Decoding Fatphobia: Examining Anti-Fat and Pro-Thin Bias in AI-Generated Images. Findings of the Association for Computational Linguistics: NAACL 2022 (2025)

body imageimage communicationdeepfakespro-thin biaspsychologyartificial intelligencecognitive sciencebias

Unveiling Bias: Analyzing Race and Gender Disparities in AI-Generated Imagery. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2025)

Admissions in the Age of AI: Detecting AI-Generated Application Materials in Higher Education. Scientific Reports (2024)

Yijun ZhaoAlexander BorelliFernando MartinezHaoran XueGary M. Weiss

ai-generated application materialshigher educationeducationai educationartificial intelligence

A Quantitative Machine Learning Approach to Evaluating Letters of Recommendation. Proceedings of the 57th Hawaii International Conference on System Sciences (HICSS) (2024)

Gpt vs. Llama2: Which Comes Closer to Human Writing?. Proceedings of The 17th International Conference on Educational Data Mining (EDM24) (2024)

creative writingtextual practicelinguisticssecond language writingapplied linguisticshuman writingwriting instructionlanguage

Yi DingDaniel LeedsYijun ZhaoGary Weiss

educational data miningdata sciencedecision makingdata mining

Yi DingDaniel LeedsYijun ZhaoGary Weiss

data sciencelearning analytics

Predicting Gre Scores From Application Materials in Test-Optional Admissions. Proceedings of The 17th International Conference on Educational Data Mining (EDM24) (2024)

model selectionpredictive analyticsautomated assessmentsoftware testingperformance evaluationeducational assessmentgre scoreshigher educationstatistics

The Construction and Analysis of Course Grades Across Public Universities. Proceedings of The 17th International Conference on Educational Data Mining (EDM24) (2024)

A Machine Learning Approach to Graduate Admissions and the Role of Letters of Recommendation. PLoS ONE (2023)

Yijun ZhaoXiaoyu ChenHaoran XueGary M. Weiss

machine learning

1
2
3
4
5
13
10 / page

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