Amir Saffari

发表

Horst Bischof, Christian Leistner, Amir Saffari, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Semi-Supervised Random Forests

Horst Bischof, Christian Leistner, Amir Saffari, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Agnostic Learning vs. Prior Knowledge Challenge

Isabelle Guyon, Gavin C. Cawley, Gideon Dror, 2007, 2007 International Joint Conference on Neural Networks.

Boosting for Model-Based Data Clustering

Horst Bischof, Amir Saffari, 2008, DAGM-Symposium.

Variable Selection using Correlation and Single Variable Classifier Methods: Applications

Amir Saffari, 2006, Feature Extraction.

The Visual Object Tracking VOT2013 Challenge Results

Michael Felsberg, Seunghoon Hong, Bohyung Han, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

Online multi-class LPBoost

Horst Bischof, Thomas Pock, Christian Leistner, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Comparison of Mathematical Approximation Methods for Mine Ventilation Network Analysis

Farhang Sereshki, Amir Saffari, Ebrahim Elahi, 2016 .

Learning Anchor Planes for Classification

Philip H. S. Torr, Ziming Zhang, Lubor Ladicky, 2011, NIPS.

PROST: Parallel robust online simple tracking

Horst Bischof, Thomas Pock, Christian Leistner, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Struck: Structured output tracking with kernels

Philip H. S. Torr, Amir Saffari, Sam Hare, 2011, ICCV.

DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation pdf

Yoshua Bengio, Mohamed Ahmed, Marwin H. S. Segler, 2018, ArXiv.

Alternating Decision Forests

Horst Bischof, Peter M. Roth, Christian Leistner, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs pdf

Daniel Neil, Aaron Sim, Amir Saffari, 2018, ArXiv.

Improving classifiers with unlabeled weakly-related videos

Horst Bischof, Christian Leistner, Amir Saffari, 2011, CVPR 2011.

Video Tracking - Red Light Enforcement

Amir Saffari, 2006 .

Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity

Amir Saffari, Hamza Harkous, Isabel Groves, 2020, COLING.

Efficient online structured output learning for keypoint-based object tracking

Philip H. S. Torr, Amir Saffari, Sam Hare, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

SERBoost: Semi-supervised Boosting with Expectation Regularization

Horst Bischof, Helmut Grabner, Amir Saffari, 2008, ECCV.

Book Review: "complex Worlds from Simpler Nervous Systems", by Frederick R. Prete (Editor)

Amir Saffari, 2006, Int. J. Comput. Intell. Appl..

MIForests: Multiple-Instance Learning with Randomized Trees

Horst Bischof, Christian Leistner, Amir Saffari, 2010, ECCV.

Environmental impact assessment (EIA) by using the Fuzzy Delphi Folchi (FDF) method (case study: Shahrood cement plant, Iran)

Farhang Sereshki, Mohammad Ataei, Amir Saffari, 2019, Environment, Development and Sustainability.

PerformancePrediction Challenge

Joachim M. Buhmann, Isabelle Guyon, Gideon Dror, 2006, IJCNN.

On-Line Random Naive Bayes for Tracking

Horst Bischof, Christian Leistner, Amir Saffari, 2010, 2010 20th International Conference on Pattern Recognition.

Multi-Class Semi-Supervised and Online Boosting

Amir Saffari, Amir Saffari, 2010 .

Struck: Structured Output Tracking with Kernels

Vibhav Vineet, Philip H. S. Torr, Ming-Ming Cheng, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Applying rock engineering systems (RES) approach to evaluate and classify the coal spontaneous combustion potential in Eastern Alborz coal mines

Mohammad Ataei, Farhang Sereshki, Amir Saffari, 2013 .

Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge

Isabelle Guyon, Gavin C. Cawley, Gideon Dror, 2008, Neural Networks.

On robustness of on-line boosting - a competitive study

Horst Bischof, Peter M. Roth, Christian Leistner, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Presenting an engineering classification system for coal spontaneous combustion potential

Mohammad Ataei, Farhang Sereshki, Amir Saffari, 2017 .

On-Line Multi-view Forests for Tracking

Horst Bischof, Christian Leistner, Amir Saffari, 2010, DAGM-Symposium.

Interactive Texture Segmentation using Random Forests and Total Variation

Horst Bischof, Thomas Pock, Christian Leistner, 2009, BMVC.

Robust Multi-View Boosting with Priors

Horst Bischof, Christian Leistner, Amir Saffari, 2010, ECCV.

Model Selection: Beyond the Bayesian/Frequentist Divide

Isabelle Guyon, Gavin C. Cawley, Gideon Dror, 2010, J. Mach. Learn. Res..

On-line semi-supervised multiple-instance boosting

Horst Bischof, Christian Leistner, Amir Saffari, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

What Do Models Learn from Question Answering Datasets? pdf

Amir Saffari, Priyanka Sen, Amir Saffari, 2020, EMNLP.

CLOP: a Matlab Learning Object Package

Isabelle Guyon, Gavin C. Cawley, Hugo Jair Escalante, 2007 .

Regularized multi-class semi-supervised boosting

Horst Bischof, Christian Leistner, Amir Saffari, 2009, CVPR.

Expanding End-to-End Question Answering on Differentiable Knowledge Graphs with Intersection

Amir Saffari, Priyanka Sen, Armin Oliya, 2021, EMNLP.

Relation Extraction from Tables using Artificially Generated Metadata pdf

Amir Saffari, Gaurav singh, Siffi Singh, 2021, ArXiv.

End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs

Amir Saffari, Priyanka Sen, Armin Oliya, 2021, EMNLP.

Compression-Based Averaging of Selective Naive Bayes Classifiers

Isabelle Guyon, Amir Saffari, 2007 .

Clustering in a Boosting Framework

Horst Bischof, Amir Saffari, 2007 .

Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity

Amir Saffari, Hamza Harkous, Isabel Groves, 2020, COLING.