Vision-Based Overhead View Person Recognition. - Ira Cohen; Ashutosh Garg; Thomas S. Huang (ICPR, 2000)

Enforcing Integrability for Surface Reconstruction Algorithms Using Belief Propagation in Graphical Models. - Nemanja Petrovic; Ira Cohen; Brendan J. Frey; Ralf Koetter; Thomas S. Huang (CVPR (1), 2001)

Self-Aware Services: Using Bayesian Networks for Detecting Anomalies in Internet-Based Services. - Alexandre Bronstein; Joydip Das; Marsha Duro; Rich Friedrich; Gary Kleyner; Martin Mueller; Sharad Singhal; Ira Cohen (Integrated Network Management, 2001)

Unlabeled Data Can Degrade Classification Performance of Generative Classifiers. - Fábio Gagliardi Cozman; Ira Cohen (FLAIRS, 2002)

Facial expression recognition from video sequences. - Ira Cohen; Nicu Sebe; Ashutosh Garg; Michael S. Lew; Thomas S. Huang (ICME (2), 2002)

Emotion Recognition Using a Cauchy Naive Bayes Classifier. - Nicu Sebe; Michael S. Lew; Ira Cohen; Ashutosh Garg; Thomas S. Huang (ICPR (1), 2002)

Evaluation of Expression Recognition Techniques. - Ira Cohen; Nicu Sebe; Yafei Sun; Michael S. Lew; Thomas S. Huang (CIVR, 2003)

Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data. - Ira Cohen; Nicu Sebe; Fábio Gagliardi Cozman; Marcelo Cesar Cirelo; Thomas S. Huang (CVPR (1), 2003)

Semi-Supervised Learning of Mixture Models. - Fábio Gagliardi Cozman; Ira Cohen; Marcelo Cesar Cirelo (ICML, 2003)

Semi-supervised learning for facial expression recognition. - Ira Cohen; Nicu Sebe; Fábio Gagliardi Cozman; Thomas S. Huang (Multimedia Information Retrieval, 2003)

Facial expression recognition from video sequences: temporal and static modeling. - Ira Cohen; Nicu Sebe; Ashutosh Garg; Lawrence S. Chen; Thomas S. Huang (Comput. Vis. Image Underst., 2003)

Semisupervised Learning of Classifiers With Application to Human -Computer Interaction - Ira Cohen (2003)

Skin Detection: A Bayesian Network Approach. - Nicu Sebe; Ira Cohen; Thomas S. Huang; Theo Gevers (ICPR (2), 2004)

Correlating Instrumentation Data to System States: A Building Block for Automated Diagnosis and Control. - Ira Cohen; Jeffrey S. Chase; Moisés Goldszmidt; Terence Kelly; Julie Symons (OSDI, 2004)

Properties and Benefits of Calibrated Classifiers. - Ira Cohen; Moisés Goldszmidt (PKDD, 2004)

Learning from Little: Comparison of Classifiers Given Little Training. - George Forman; Ira Cohen (PKDD, 2004)

Towards authentic emotion recognition. - Ira Cohen; Nicu Sebe; Yafei Sun; Michael S. Lew; Thomas S. Huang (SMC (1), 2004)

Semisupervised Learning of Classifiers: Theory, Algorithms, and Their Application to Human-Computer Interaction. - Ira Cohen; Fábio Gagliardi Cozman; Nicu Sebe; Marcelo Cesar Cirelo; Thomas S. Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Machine Learning in Multimedia. - Nemanja Petrovic; Ira Cohen; Thomas S. Huang (Multimedia Content and the Semantic Web, 2005)

Semi-Supervised Face Detection. - Nicu Sebe; Ira Cohen; Thomas S. Huang; Theo Gevers (CVPR Workshops, 2005)

Ensembles of Models for Automated Diagnosis of System Performance Problems. - Steve Zhang; Ira Cohen; Moisés Goldszmidt; Julie Symons; Armando Fox (DSN, 2005)

Beware the Null Hypothesis: Critical Value Tables for Evaluating Classifiers. - George Forman; Ira Cohen (ECML, 2005)

Three Research Challenges at the Intersection of Machine Learning, Statistical Induction, and Systems. - Moisés Goldszmidt; Ira Cohen; Armando Fox; Steve Zhang (HotOS, 2005)

Short term performance forecasting in enterprise systems. - Rob Powers; Moisés Goldszmidt; Ira Cohen (KDD, 2005)

Capturing, indexing, clustering, and retrieving system history. - Ira Cohen; Steve Zhang; Moisés Goldszmidt; Julie Symons; Terence Kelly; Armando Fox (SOSP, 2005)

Learning probabilistic classifiers for human-computer interaction applications. - Nicu Sebe; Ira Cohen; Fábio Gagliardi Cozman; Theo Gevers; Thomas S. Huang (Multim. Syst., 2005)

Machine Learning in Computer Vision - Nicu Sebe; Ira Cohen; Ashutosh Garg; Thomas S. Huang (Springer, 2005)

Risks of Semi-Supervised Learning: How Unlabeled Data Can Degrade Performance of Generative Classifiers. - Fábio Gagliardi Cozman; Ira Cohen (Semi-Supervised Learning, 2006)

Emotion Recognition Based on Joint Visual and Audio Cues. - Nicu Sebe; Ira Cohen; Theo Gevers; Thomas S. Huang (ICPR (1), 2006)

Revisiting probabilistic models for clustering with pair-wise constraints. - Blaine Nelson; Ira Cohen (ICML, 2007)

Feature selection using principal feature analysis. - Yijuan Lu; Ira Cohen; Xiang Sean Zhou; Qi Tian 001 (ACM Multimedia, 2007)

Semi-supervised network traffic classification. - Jeffrey Erman; Anirban Mahanti; Martin F. Arlitt; Ira Cohen; Carey L. Williamson (SIGMETRICS, 2007)

Authentic facial expression analysis. - Nicu Sebe; Michael S. Lew; Yafei Sun; Ira Cohen; Theo Gevers; Thomas S. Huang (Image Vis. Comput., 2007)

Offline/realtime traffic classification using semi-supervised learning. - Jeffrey Erman; Anirban Mahanti; Martin F. Arlitt; Ira Cohen; Carey L. Williamson (Perform. Evaluation, 2007)

Machine Learning Techniques for Face Analysis. - Roberto Valenti; Nicu Sebe; Theo Gevers; Ira Cohen (Machine Learning Techniques for Multimedia, 2008)

One Graph Is Worth a Thousand Logs: Uncovering Hidden Structures in Massive System Event Logs. - Michal Aharon; Gilad Barash; Ira Cohen; Eli Mordechai (ECML/PKDD (1), 2009)

The PARIS Algorithm for Determining Latent Topics. - Michal Aharon; Ira Cohen; Arik Itskovitch; Inbal Marhaim; Ron Banner (ICDM Workshops, 2010)

Creating the Knowledge about IT Events. - Gilad Barash; Ira Cohen; Eli Mordechai; Carl Staelin; Rafael Dakar (SLAML, 2010)

Vayu: Learning to Control the Cloud. - Ira Cohen; Ohad Assulin; Eli Mordechai; Yaniv Sayers; Ruth Bernstein (MAD, 2012)

Real-time anomaly detection system for time series at scale. - Meir Toledano; Ira Cohen; Yonatan Ben-Simhon; Inbal Tadeski (ADF@KDD, 2017)