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ORCIDMohammad Salameh
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2020 – today
- 2024
[j5]Shahin Atakishiyev
, Mohammad Salameh, Hengshuai Yao, Randy Goebel:
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions. IEEE Access 12: 101603-101625 (2024)- [j4]Amirhosein Ghasemabadi, Muhammad Kamran Janjua, Mohammad Salameh, Chunhua Zhou, Fengyu Sun, Di Niu:
CascadedGaze: Efficiency in Global Context Extraction for Image Restoration. Trans. Mach. Learn. Res. 2024 (2024) - [c26]Keith G. Mills, Fred X. Han, Mohammad Salameh, Shengyao Lu, Chunhua Zhou, Jiao He, Fengyu Sun, Di Niu:
Building Optimal Neural Architectures Using Interpretable Knowledge. CVPR 2024: 5726-5735 - [c25]Shahin Atakishiyev, Mohammad Salameh, Randy Goebel:
Incorporating Explanations into Human-Machine Interfaces for Trust and Situation Awareness in Autonomous Vehicles. IV 2024: 2948-2955 - [i17]Amirhosein Ghasemabadi, Mohammad Salameh, Muhammad Kamran Janjua, Chunhua Zhou, Fengyu Sun, Di Niu:
CascadedGaze: Efficiency in Global Context Extraction for Image Restoration. CoRR abs/2401.15235 (2024) - [i16]Shahin Atakishiyev, Mohammad Salameh, Randy Goebel:
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving. CoRR abs/2403.12176 (2024) - [i15]Keith G. Mills, Fred X. Han, Mohammad Salameh, Shengyao Lu, Chunhua Zhou, Jiao He, Fengyu Sun, Di Niu:
Building Optimal Neural Architectures using Interpretable Knowledge. CoRR abs/2403.13293 (2024) - [i14]Shahin Atakishiyev, Mohammad Salameh, Randy Goebel:
Incorporating Explanations into Human-Machine Interfaces for Trust and Situation Awareness in Autonomous Vehicles. CoRR abs/2404.07383 (2024) - [i13]Mohammadreza Samadi, Fred X. Han, Mohammad Salameh, Hao Wu, Fengyu Sun, Chunhua Zhou, Di Niu:
Achieving Complex Image Edits via Function Aggregation with Diffusion Models. CoRR abs/2408.08495 (2024) - [i12]Liyao Jiang, Negar Hassanpour, Mohammad Salameh, Mohan Sai Singamsetti, Fengyu Sun, Wei Lu, Di Niu:
FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting. CoRR abs/2408.11706 (2024) - 2023
- [c24]Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui:
AIO-P: Expanding Neural Performance Predictors beyond Image Classification. AAAI 2023: 9180-9189 - [c23]Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu:
GENNAPE: Towards Generalized Neural Architecture Performance Estimators. AAAI 2023: 9190-9199 - [c22]Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Robin Luwei, Shangling Jui, Di Niu:
Reparameterization through Spatial Gradient Scaling. ICLR 2023 - [c21]Shahin Atakishiyev, Mohammad Salameh, Housam Khalifa Bashier Babiker, Randy Goebel:
Explaining Autonomous Driving Actions with Visual Question Answering. ITSC 2023: 1207-1214 - [c20]Mohammad Salameh, Keith G. Mills, Negar Hassanpour, Fred X. Han, Shuting Zhang, Wei Lu, Shangling Jui, Chunhua Zhou, Fengyu Sun, Di Niu:
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution. NeurIPS 2023 - [c19]Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu:
A General-Purpose Transferable Predictor for Neural Architecture Search. SDM 2023: 721-729 - [i11]Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu:
A General-Purpose Transferable Predictor for Neural Architecture Search. CoRR abs/2302.10835 (2023) - [i10]Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Wei Lui, Shangling Jui, Di Niu:
Reparameterization through Spatial Gradient Scaling. CoRR abs/2303.02733 (2023) - [i9]Shahin Atakishiyev, Mohammad Salameh, Housam Khalifa Bashier Babiker, Randy Goebel:
Explaining Autonomous Driving Actions with Visual Question Answering. CoRR abs/2307.10408 (2023) - 2022
- [i8]Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu:
GENNAPE: Towards Generalized Neural Architecture Performance Estimators. CoRR abs/2211.17226 (2022) - [i7]Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui:
AIO-P: Expanding Neural Performance Predictors Beyond Image Classification. CoRR abs/2211.17228 (2022) - 2021
- [j3]Keith G. Mills, Mohammad Salameh, Di Niu, Fred X. Han, Seyed Saeed Changiz Rezaei, Hengshuai Yao, Wei Lu, Shuo Lian, Shangling Jui:
Exploring Neural Architecture Search Space via Deep Deterministic Sampling. IEEE Access 9: 110962-110974 (2021) - [c18]Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CIKM 2021: 1284-1293 - [c17]Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui:
Generative Adversarial Neural Architecture Search. IJCAI 2021: 2227-2234 - [i6]Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui:
Generative Adversarial Neural Architecture Search. CoRR abs/2105.09356 (2021) - [i5]Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CoRR abs/2109.12425 (2021) - [i4]Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, Randy Goebel:
Towards safe, explainable, and regulated autonomous driving. CoRR abs/2111.10518 (2021) - [i3]Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, Randy Goebel:
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions. CoRR abs/2112.11561 (2021) - 2020
- [c16]Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui:
Neural Architecture Search for Keyword Spotting. INTERSPEECH 2020: 1982-1986 - [i2]Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui:
Neural Architecture Search For Keyword Spotting. CoRR abs/2009.00165 (2020)
2010 – 2019
- 2019
- [c15]Ossama Obeid, Mohammad Salameh, Houda Bouamor, Nizar Habash:
ADIDA: Automatic Dialect Identification for Arabic. NAACL-HLT (Demonstrations) 2019: 6-11 - 2018
- [c14]Mohammad Salameh, Houda Bouamor:
Fine-Grained Arabic Dialect Identification. COLING 2018: 1332-1344 - [c13]Houda Bouamor, Nizar Habash, Mohammad Salameh, Wajdi Zaghouani, Owen Rambow, Dana Abdulrahim, Ossama Obeid, Salam Khalifa, Fadhl Eryani, Alexander Erdmann, Kemal Oflazer:
The MADAR Arabic Dialect Corpus and Lexicon. LREC 2018 - [c12]Nizar Habash, Fadhl Eryani, Salam Khalifa, Owen Rambow, Dana Abdulrahim, Alexander Erdmann, Reem Faraj, Wajdi Zaghouani, Houda Bouamor, Nasser Zalmout, Sara Hassan, Faisal Al-Shargi, Sakhar B. Alkhereyf, Basma Abdulkareem, Ramy Eskander, Mohammad Salameh, Hind Saddiki:
Unified Guidelines and Resources for Arabic Dialect Orthography. LREC 2018 - [c11]Saif M. Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, Svetlana Kiritchenko:
SemEval-2018 Task 1: Affect in Tweets. SemEval@NAACL-HLT 2018: 1-17 - 2016
- [j2]Saif M. Mohammad, Mohammad Salameh, Svetlana Kiritchenko:
How Translation Alters Sentiment. J. Artif. Intell. Res. 55: 95-130 (2016) - [c10]Saif M. Mohammad, Mohammad Salameh, Svetlana Kiritchenko:
Sentiment Lexicons for Arabic Social Media. LREC 2016 - [c9]Mohammad Salameh, Colin Cherry, Grzegorz Kondrak:
Integrating Morphological Desegmentation into Phrase-based Decoding. HLT-NAACL 2016: 1175-1180 - [c8]Svetlana Kiritchenko, Saif M. Mohammad, Mohammad Salameh:
SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases. SemEval@NAACL-HLT 2016: 42-51 - 2015
- [c7]Garrett Nicolai, Bradley Hauer, Mohammad Salameh, Adam St. Arnaud, Ying Xu, Lei Yao, Grzegorz Kondrak:
Multiple System Combination for Transliteration. NEWS@ACL 2015: 72-77 - [c6]Mohammad Salameh, Saif M. Mohammad, Svetlana Kiritchenko:
Sentiment after Translation: A Case-Study on Arabic Social Media Posts. HLT-NAACL 2015: 767-777 - [c5]Mohammad Salameh, Colin Cherry, Grzegorz Kondrak:
What Matters Most in Morphologically Segmented SMT Models? SSST@NAACL-HLT 2015: 65-73 - [i1]Karan Aggarwal, Mohammad Salameh, Abram Hindle:
Using machine translation for converting Python 2 to Python 3 code. PeerJ Prepr. 3: e1459 (2015) - 2014
- [c4]Mohammad Salameh, Colin Cherry, Grzegorz Kondrak:
Lattice Desegmentation for Statistical Machine Translation. ACL (1) 2014: 100-110 - 2013
- [c3]Garrett Nicolai, Bradley Hauer, Mohammad Salameh, Lei Yao, Grzegorz Kondrak:
Cognate and Misspelling Features for Natural Language Identification. BEA@NAACL-HLT 2013: 140-145 - [c2]Mohammad Salameh, Colin Cherry, Grzegorz Kondrak:
Reversing Morphological Tokenization in English-to-Arabic SMT. HLT-NAACL 2013: 47-53 - 2012
- [c1]Grzegorz Kondrak, Xingkai Li, Mohammad Salameh:
Transliteration Experiments on Chinese and Arabic. NEWS@ACL 2012: 71-75 - 2011
- [j1]Mohammad Salameh, Rached Zantout, Nashat Mansour:
Improving the accuracy of English-Arabic statistical sentence alignment. Int. Arab J. Inf. Technol. 8(2): 171-177 (2011)
Coauthor Index
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