Ira Cohen

According to our database1, Ira Cohen authored at least 40 papers between 2000 and 2017.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2017
Real-time anomaly detection system for time series at scale.
Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, 2017

2012
Vayu: Learning to Control the Cloud.
Proceedings of the 2012 Workshop on Managing Systems Automatically and Dynamically, 2012

2010
Creating the Knowledge about IT Events.
Proceedings of the Workshop on Managing Systems via Log Analysis and Machine Learning Techniques, 2010

The PARIS Algorithm for Determining Latent Topics.
Proceedings of the ICDMW 2010, 2010

2009
One Graph Is Worth a Thousand Logs: Uncovering Hidden Structures in Massive System Event Logs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

2008
Machine Learning Techniques for Face Analysis.
Proceedings of the Machine Learning Techniques for Multimedia, 2008

2007
Offline/realtime traffic classification using semi-supervised learning.
Perform. Evaluation, 2007

Authentic facial expression analysis.
Image Vis. Comput., 2007

Semi-supervised network traffic classification.
Proceedings of the 2007 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2007

Feature selection using principal feature analysis.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

Revisiting probabilistic models for clustering with pair-wise constraints.
Proceedings of the Machine Learning, 2007

2006
Emotion Recognition Based on Joint Visual and Audio Cues.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Risks of Semi-Supervised Learning: How Unlabeled Data Can Degrade Performance of Generative Classifiers.
Proceedings of the Semi-Supervised Learning, 2006

2005
Machine Learning in Computer Vision
Computational Imaging and Vision 29, Springer, ISBN: 978-1-4020-3275-2, 2005

Learning probabilistic classifiers for human-computer interaction applications.
Multim. Syst., 2005

Capturing, indexing, clustering, and retrieving system history.
Proceedings of the 20th ACM Symposium on Operating Systems Principles 2005, 2005

Short term performance forecasting in enterprise systems.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Three Research Challenges at the Intersection of Machine Learning, Statistical Induction, and Systems.
Proceedings of HotOS'05: 10th Workshop on Hot Topics in Operating Systems, 2005

Beware the Null Hypothesis: Critical Value Tables for Evaluating Classifiers.
Proceedings of the Machine Learning: ECML 2005, 2005

Ensembles of Models for Automated Diagnosis of System Performance Problems.
Proceedings of the 2005 International Conference on Dependable Systems and Networks (DSN 2005), 28 June, 2005

Semi-Supervised Face Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005

Machine Learning in Multimedia.
Proceedings of the Multimedia Content and the Semantic Web, 2005

2004
Semisupervised Learning of Classifiers: Theory, Algorithms, and Their Application to Human-Computer Interaction.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Towards authentic emotion recognition.
Proceedings of the IEEE International Conference on Systems, 2004

Learning from Little: Comparison of Classifiers Given Little Training.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Properties and Benefits of Calibrated Classifiers.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Correlating Instrumentation Data to System States: A Building Block for Automated Diagnosis and Control.
Proceedings of the 6th Symposium on Operating System Design and Implementation (OSDI 2004), 2004

Skin Detection: A Bayesian Network Approach.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Semisupervised Learning of Classifiers With Application to Human -Computer Interaction
PhD thesis, 2003

Facial expression recognition from video sequences: temporal and static modeling.
Comput. Vis. Image Underst., 2003

Semi-supervised learning for facial expression recognition.
Proceedings of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2003

Semi-Supervised Learning of Mixture Models.
Proceedings of the Machine Learning, 2003

Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

Evaluation of Expression Recognition Techniques.
Proceedings of the Image and Video Retrieval, Second International Conference, 2003

2002
Emotion Recognition Using a Cauchy Naive Bayes Classifier.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Facial expression recognition from video sequences.
Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, 2002

Unlabeled Data Can Degrade Classification Performance of Generative Classifiers.
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, 2002

2001
Self-Aware Services: Using Bayesian Networks for Detecting Anomalies in Internet-Based Services.
Proceedings of the 2001 IEEE/IFIP International Symposium on Integrated Network Management, 2001

Enforcing Integrability for Surface Reconstruction Algorithms Using Belief Propagation in Graphical Models.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000
Vision-Based Overhead View Person Recognition.
Proceedings of the 15th International Conference on Pattern Recognition, 2000


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