Variable Selection using Correlation and Single Variable Classifier Methods: Applications. - Amir Reza Saffari Azar Alamdari (Feature Extraction, 2006)

PerformancePrediction Challenge. - Isabelle Guyon; Amir Reza Saffari Azar Alamdari; Gideon Dror; Joachim M. Buhmann (IJCNN, 2006)

Book Review: "complex Worlds from Simpler Nervous Systems", by Frederick R. Prete (Editor). - Amir Saffari (Int. J. Comput. Intell. Appl., 2006)

Agnostic Learning vs. Prior Knowledge Challenge. - Isabelle Guyon; Amir Saffari; Gideon Dror; Gavin C. Cawley (IJCNN, 2007)

Boosting for Model-Based Data Clustering. - Amir Saffari; Horst Bischof (DAGM-Symposium, 2008)

SERBoost: Semi-supervised Boosting with Expectation Regularization. - Amir Saffari; Helmut Grabner; Horst Bischof (ECCV (3), 2008)

Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge. - Isabelle Guyon; Amir Saffari; Gideon Dror; Gavin C. Cawley (Neural Networks, 2008)

Interactive Texture Segmentation using Random Forests and Total Variation. - Jakob Santner; Markus Unger; Thomas Pock; Christian Leistner; Amir Saffari; Horst Bischof (BMVC, 2009)

Regularized multi-class semi-supervised boosting. - Amir Saffari; Christian Leistner; Horst Bischof (CVPR, 2009)

Semi-Supervised Random Forests. - Christian Leistner; Amir Saffari; Jakob Santner; Horst Bischof (ICCV, 2009)

On robustness of on-line boosting - a competitive study. - Christian Leistner; Amir Saffari; Peter M. Roth; Horst Bischof (ICCV Workshops, 2009)

On-line Random Forests. - Amir Saffari; Christian Leistner; Jakob Santner; Martin Godec; Horst Bischof (ICCV Workshops, 2009)

Online multi-class LPBoost. - Amir Saffari; Martin Godec; Thomas Pock; Christian Leistner; Horst Bischof (CVPR, 2010)

PROST: Parallel robust online simple tracking. - Jakob Santner; Christian Leistner; Amir Saffari; Thomas Pock; Horst Bischof (CVPR, 2010)

On-line semi-supervised multiple-instance boosting. - Bernhard Zeisl; Christian Leistner; Amir Saffari; Horst Bischof (CVPR, 2010)

On-Line Multi-view Forests for Tracking. - Christian Leistner; Martin Godec; Amir Saffari; Horst Bischof (DAGM-Symposium, 2010)

MIForests: Multiple-Instance Learning with Randomized Trees. - Christian Leistner; Amir Saffari; Horst Bischof (ECCV (6), 2010)

Robust Multi-View Boosting with Priors. - Amir Saffari; Christian Leistner; Martin Godec; Horst Bischof (ECCV (3), 2010)

On-Line Random Naive Bayes for Tracking. - Martin Godec; Christian Leistner; Amir Saffari; Horst Bischof (ICPR, 2010)

Model Selection: Beyond the Bayesian/Frequentist Divide. - Isabelle Guyon; Amir Saffari; Gideon Dror; Gavin C. Cawley (J. Mach. Learn. Res., 2010)

Improving classifiers with unlabeled weakly-related videos. - Christian Leistner; Martin Godec; Samuel Schulter; Amir Saffari; Manuel Werlberger; Horst Bischof (CVPR, 2011)

Struck: Structured output tracking with kernels. - Sam Hare; Amir Saffari; Philip H. S. Torr (ICCV, 2011)

Learning Anchor Planes for Classification. - Ziming Zhang; Lubor Ladicky; Philip H. S. Torr; Amir Saffari (NIPS, 2011)

Efficient online structured output learning for keypoint-based object tracking. - Sam Hare; Amir Saffari; Philip H. S. Torr (CVPR, 2012)

Alternating Decision Forests. - Samuel Schulter; Paul Wohlhart; Christian Leistner; Amir Saffari; Peter M. Roth; Horst Bischof (CVPR, 2013)

The Visual Object Tracking VOT2014 Challenge Results. - Matej Kristan; Roman P. Pflugfelder; Ales Leonardis; Jiri Matas; Luka Cehovin; Georg Nebehay; Tomás Vojír; Gustavo Fernández; Alan Lukezic; Aleksandar Dimitriev; Alfredo Petrosino; Amir Saffari; et al. (ECCV Workshops (2), 2014)

Struck: Structured Output Tracking with Kernels. - Sam Hare; Stuart Golodetz; Amir Saffari; Vibhav Vineet; Ming-Ming Cheng; Stephen L. Hicks; Philip H. S. Torr (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation. - Rim Assouel; Mohamed Ahmed; Marwin H. S. Segler; Amir Saffari; Yoshua Bengio (CoRR, 2018)

Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs. - Daniel Neil; Joss Briody; Alix Lacoste; Aaron Sim; Páidí Creed; Amir Saffari (CoRR, 2018)

Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity. - Hamza Harkous; Isabel Groves; Amir Saffari (COLING, 2020)

What do Models Learn from Question Answering Datasets? - Priyanka Sen; Amir Saffari (EMNLP (1), 2020)

End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs. - Amir Saffari; Armin Oliya; Priyanka Sen; Tom Ayoola (EMNLP (1), 2021)

Expanding End-to-End Question Answering on Differentiable Knowledge Graphs with Intersection. - Priyanka Sen; Armin Oliya; Amir Saffari (EMNLP (1), 2021)

Relation Extraction from Tables using Artificially Generated Metadata. - Gaurav Singh; Siffi Singh; Joshua Wong; Amir Saffari (CoRR, 2021)

Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering. - Priyanka Sen; Alham Fikri Aji; Amir Saffari (COLING, 2022)

CLASP: Few-Shot Cross-Lingual Data Augmentation for Semantic Parsing. - Andy Rosenbaum; Saleh Soltan; Wael Hamza; Marco Damonte; Isabel Groves; Amir Saffari (AACL/IJCNLP (2), 2022)

mReFinED: An Efficient End-to-End Multilingual Entity Linking System. - Peerat Limkonchotiwat; Weiwei Cheng; Christos Christodoulopoulos 001; Amir Saffari; Jens Lehmann 001 (EMNLP (Findings), 2023)

Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering. - Jinheon Baek; Alham Fikri Aji; Amir Saffari (CoRR, 2023)

The Amazon Nova Family of Models: Technical Report and Model Card. - Amazon AGI; Aaron Langford; Aayush Shah; Abhanshu Gupta; Abhimanyu Bhatter; Abhinav Goyal 004; Abhinav Mathur; Abhinav Mohanty; Abhishek Kumar; Abhishek Sethi; Abi Komma; Abner Pena; et al. (CoRR, 2025)