Gary M. Weiss

According to our database1, Gary M. Weiss authored at least 42 papers between 1995 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Event Detection Through Differential Pattern Mining in Cyber-Physical Systems.
IEEE Trans. Big Data, 2020

A College Major Recommendation System.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019
Smartphone and Smartwatch-Based Biometrics Using Activities of Daily Living.
IEEE Access, 2019

An Overview of Wearable Computing.
Proceedings of the Mission-Oriented Sensor Networks and Systems: Art and Science, 2019

Mobile Target Tracking with Multiple Objectives in Wireless Sensor Networks.
Proceedings of the Mission-Oriented Sensor Networks and Systems: Art and Science, 2019

2018
Identification of Candidate Genes Responsible for Age-related Macular Degeneration using Microarray Data.
Int. J. Serv. Sci. Manag. Eng. Technol., 2018

2017
Mobile sensor-based biometrics using common daily activities.
Proceedings of the 8th IEEE Annual Ubiquitous Computing, 2017

Smartwatch-based transcription biometrics.
Proceedings of the 8th IEEE Annual Ubiquitous Computing, 2017

Identifying sunni extremist propaganda with deep learning.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
Actitracker: A Smartphone-Based Activity Recognition System for Improving Health and Well-Being.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Smartwatch-based activity recognition: A machine learning approach.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

2015
Smartwatch-based biometric gait recognition.
Proceedings of the IEEE 7th International Conference on Biometrics Theory, 2015

2014
The Benefits of Personalized Smartphone-Based Activity Recognition Models.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Limitations with activity recognition methodology & data sets.
Proceedings of the 2014 ACM Conference on Ubiquitous Computing, 2014

2013
WagTag: a dog collar accessory for monitoring canine activity levels.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

2012
A comparison of alternative client/server architectures for ubiquitous mobile sensor-based applications.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

Applications of mobile activity recognition.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

2010
The Impact of Small Disjuncts on Classifier Learning.
Proceedings of the Data Mining - Special Issue in Annals of Information Systems, 2010

Mining with Rare Cases.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Activity recognition using cell phone accelerometers.
SIGKDD Explor., 2010

Cell phone-based biometric identification.
Proceedings of the Fourth IEEE International Conference on Biometrics: Theory Applications and Systems, 2010

2009
Quantification and semi-supervised classification methods for handling changes in class distribution.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Data Mining in the Real World: Experiences, Challenges, and Recommendations.
Proceedings of The 2009 International Conference on Data Mining, 2009

A Combinatorial Fusion Method for Feature Construction.
Proceedings of The 2009 International Conference on Data Mining, 2009

Are Decision Trees Always Greener on the Open (Source) Side of the Fence?
Proceedings of The 2009 International Conference on Data Mining, 2009

2008
Guest editorial: special issue on utility-based data mining.
Data Min. Knowl. Discov., 2008

Maximizing classifier utility when there are data acquisition and modeling costs.
Data Min. Knowl. Discov., 2008

2007
Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?
Proceedings of the 2007 International Conference on Data Mining, 2007

2006
UBDM 2006: Utility-Based Data Mining 2006 workshop report.
SIGKDD Explor., 2006

Maximizing classifier utility when training data is costly.
SIGKDD Explor., 2006

2005
Report on UBDM-05: Workshop on Utility-Based Data Mining.
SIGKDD Explor., 2005

Data Mining in Telecommunications.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

Mining with Rare Cases.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004
Mining with rarity: a unifying framework.
SIGKDD Explor., 2004

2003
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction.
J. Artif. Intell. Res., 2003

2000
A Quantitative Study of Small Disjuncts.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1998
Implementing Design Patterns with Object-Oriented Rules.
J. Object Oriented Program., 1998

Learning to Predict Rare Events in Event Sequences.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

The Problem with Noise and Small Disjuncts.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

ANSWER: Network Monitoring Using Object-Oriented Rules.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1996
A model based reasoning approach to network monitoring.
Proceedings of the Workshop on Databases - Active and Real-Time, 1996

1995
Learning with Rare Cases and Small Disjuncts.
Proceedings of the Machine Learning, 1995


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