Does noise reduction matter for curve fitting in growth curve models? - Hossein Hassani; Mohammad Zokaei; Dietrich von Rosen; Saeid Amiri; Mansoureh Ghodsi (Comput. Methods Programs Biomed., 2009)

An Improvement of the Nonparametric Bootstrap Test for the Comparison of the Coefficient of Variations. - Saeid Amiri; Silvelyn Zwanzig (Commun. Stat. Simul. Comput., 2010)

On the efficiency of bootstrap method into the analysis contingency table. - Saeid Amiri; Dietrich von Rosen (Comput. Methods Programs Biomed., 2011)

A collective and abridged lexical query for delineation of nanotechnology publications. - Morteza Maghrebi; Ali Abbasi 003; Saeid Amiri; Reza Monsefi; Ahad Harati (Scientometrics, 2011)

A General Hybrid Clustering Technique. - Saeid Amiri; Bertrand S. Clarke; Jennifer Clarke; Hoyt A. Koepke (CoRR, 2015)

EnsCat: clustering of categorical data via ensembling. - Bertrand S. Clarke; Saeid Amiri; Jennifer Clarke (BMC Bioinform., 2016)

Tests of perfect judgment ranking using pseudo-samples. - Saeid Amiri; Reza Modarres; Silvelyn Zwanzig (Comput. Stat., 2017)

Robot Behavioral Exploration and Multi-modal Perception using Dynamically Constructed Controllers. - Saeid Amiri; Suhua Wei; Shiqi Zhang 001; Jivko Sinapov; Jesse Thomason; Peter Stone 001 (AAAI Spring Symposia, 2018)

Multi-modal Predicate Identification using Dynamically Learned Robot Controllers. - Saeid Amiri; Suhua Wei; Shiqi Zhang 001; Jivko Sinapov; Jesse Thomason; Peter Stone 001 (IJCAI, 2018)

Augmenting Knowledge through Statistical, Goal-oriented Human-Robot Dialog. - Saeid Amiri; Sujay Bajracharya; Cihangir Goktolga; Jesse Thomason; Shiqi Zhang 001 (IROS, 2019)

Robot Sequential Decision Making using LSTM-based Learning and Logical-probabilistic Reasoning. - Saeid Amiri; Mohammad Shokrolah Shirazi; Shiqi Zhang 001 (CoRR, 2019)

Learning and Reasoning for Robot Sequential Decision Making under Uncertainty. - Saeid Amiri; Mohammad Shokrolah Shirazi; Shiqi Zhang 001 (AAAI, 2020)

Guided Dyna-Q for Mobile Robot Exploration and Navigation. - Yohei Hayamizu; Saeid Amiri; Kishan Chandan; Shiqi Zhang 001; Keiki Takadama (CoRR, 2020)

Guiding Robot Exploration in Reinforcement Learning via Automated Planning. - Yohei Hayamizu; Saeid Amiri; Kishan Chandan; Keiki Takadama; Shiqi Zhang 001 (ICAPS, 2021)

Ensemble Linear Subspace Analysis of High-Dimensional Data. - S. Ejaz Ahmed; Saeid Amiri; Kjell A. Doksum (Entropy, 2021)

Tractable Approximate Gaussian Inference for Bayesian Neural Networks. - James-A. Goulet; Luong Ha Nguyen; Saeid Amiri (J. Mach. Learn. Res., 2021)

Robot Task Planning and Situation Handling in Open Worlds. - Yan Ding 002; Xiaohan Zhang 002; Saeid Amiri; Nieqing Cao; Hao Yang; Chad Esselink; Shiqi Zhang 001 (CoRR, 2022)

Reasoning With Scene Graphs for Robot Planning Under Partial Observability. - Saeid Amiri; Kishan Chandan; Shiqi Zhang 001 (IEEE Robotics Autom. Lett., 2022)

SARP. - Saeid Amiri (IEEE DataPort, 2022)

Learning to reason about contextual knowledge for planning under uncertainty. - Cheng Cui; Saeid Amiri; Yan Ding 002; Xingyue Zhan; Shiqi Zhang 001 (UAI, 2023)

Grounding Classical Task Planners via Vision-Language Models. - Xiaohan Zhang 002; Yan Ding 002; Saeid Amiri; Hao Yang; Andy Kaminski; Chad Esselink; Shiqi Zhang 001 (CoRR, 2023)

Multimodal embodied attribute learning by robots for object-centric action policies. - Xiaohan Zhang 002; Saeid Amiri; Jivko Sinapov; Jesse Thomason; Peter Stone 001; Shiqi Zhang 001 (Auton. Robots, 2023)

Integrating action knowledge and LLMs for task planning and situation handling in open worlds. - Yan Ding 002; Xiaohan Zhang 002; Saeid Amiri; Nieqing Cao; Hao Yang; Andy Kaminski; Chad Esselink; Shiqi Zhang 001 (Auton. Robots, 2023)

Surrogate Assisted Monte Carlo Tree Search in Combinatorial Optimization. - Saeid Amiri; Parisa Zehtabi; Danial Dervovic; Michael Cashmore (CoRR, 2024)

DKPROMPT: Domain Knowledge Prompting Vision-Language Models for Open-World Planning. - Xiaohan Zhang 002; Zainab Altaweel; Yohei Hayamizu; Yan Ding 002; Saeid Amiri; Hao Yang; Andy Kaminski; Chad Esselink; Shiqi Zhang 001 (CoRR, 2024)

ScRNAbox: empowering single-cell RNA sequencing on high performance computing systems. - Rhalena A. Thomas; Michael R. Fiorini; Saeid Amiri; Edward A. Fon; Sali M. K. Farhan (BMC Bioinform., 2024)

A subspace aggregating algorithm for accurate classification. - Saeid Amiri; Reza Modarres (Comput. Stat., 2025)