Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts Detection. - Mohammad Javad Hosseini; Zahra Ahmadi; Hamid Beigy (ICDM Workshops, 2011)

A Dependable and Efficient Scheduling Model for Critical Applications on Grid Systems. - Bahman Arasteh; Mohammad Javad Hosseini (PARELEC, 2011)

New Management Operations on Classifiers Pool to Track Recurring Concepts. - Mohammad Javad Hosseini; Zahra Ahmadi; Hamid Beigy (DaWaK, 2012)

Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms. - Roohallah Alizadehsani; Mohammad Javad Hosseini; Zahra Alizadeh Sani; Asma Ghandeharioun; Reihane Boghrati (ICDM Workshops, 2012)

Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis. - Roohallah Alizadehsani; Mohammad Javad Hosseini; Reihane Boghrati; Asma Ghandeharioun; Fahime Khozeimeh; Zahra Alizadeh Sani (Int. J. Knowl. Discov. Bioinform., 2012)

An adaptive regression tree for non-stationary data streams. - Ameneh Gholipour; Mohammad Javad Hosseini; Hamid Beigy (SAC, 2013)

An algorithm for discovering clusters of different densities or shapes in noisy data sets. - Fereshte Khani; Mohammad Javad Hosseini; Ahmad Ali Abin; Hamid Beigy (SAC, 2013)

A data mining approach for diagnosis of coronary artery disease. - Roohallah Alizadehsani; Jafar Habibi; Mohammad Javad Hosseini; Hoda Mashayekhi; Reihane Boghrati; Asma Ghandeharioun; Behdad Bahadorian; Zahra Alizadeh Sani (Comput. Methods Programs Biomed., 2013)

Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification. - Mohammad Javad Hosseini; Zahra Ahmadi; Hamid Beigy (Evol. Syst., 2013)

Learning to Solve Arithmetic Word Problems with Verb Categorization. - Mohammad Javad Hosseini; Hannaneh Hajishirzi; Oren Etzioni; Nate Kushman (EMNLP, 2014)

Learning Sparse Gaussian Graphical Models with Overlapping Blocks. - Mohammad Javad Hosseini; Su-In Lee (NIPS, 2016)

UW-CSE at SemEval-2016 Task 10: Detecting Multiword Expressions and Supersenses using Double-Chained Conditional Random Fields. - Mohammad Javad Hosseini; Noah A. Smith; Su-In Lee (SemEval@NAACL-HLT, 2016)

An ensemble of cluster-based classifiers for semi-supervised classification of non-stationary data streams. - Mohammad Javad Hosseini; Ameneh Gholipour; Hamid Beigy (Knowl. Inf. Syst., 2016)

Coronary artery disease detection using computational intelligence methods. - Roohallah Alizadehsani; Mohammad Hossein Zangooei; Mohammad Javad Hosseini; Jafar Habibi; Abbas Khosravi; Mohamad Roshanzamir; Fahime Khozeimeh; Nizal Sarrafzadegan; Saeid Nahavandi (Knowl. Based Syst., 2016)

Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries. - Roohallah Alizadehsani; Mohammad Javad Hosseini; Abbas Khosravi; Fahime Khozeimeh; Mohamad Roshanzamir; Nizal Sarrafzadegan; Saeid Nahavandi (Comput. Methods Programs Biomed., 2018)

Learning Typed Entailment Graphs with Global Soft Constraints. - Mohammad Javad Hosseini; Nathanael Chambers; Siva Reddy; Xavier R. Holt; Shay B. Cohen; Mark Johnson 001; Mark Steedman (Trans. Assoc. Comput. Linguistics, 2018)

Duality of Link Prediction and Entailment Graph Induction. - Mohammad Javad Hosseini; Shay B. Cohen; Mark Johnson 001; Mark Steedman (ACL (1), 2019)

Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model. - Zhepei Wei; Yantao Jia; Yuan Tian 016; Mohammad Javad Hosseini; Mark Steedman; Yi Chang 001 (CoRR, 2019)

Spatial Language Representation with Multi-Level Geocoding. - Sayali Kulkarni; Shailee Jain; Mohammad Javad Hosseini; Jason Baldridge; Eugene Ie; Li Zhang (CoRR, 2020)

Open-Domain Contextual Link Prediction and its Complementarity with Entailment Graphs. - Mohammad Javad Hosseini; Shay B. Cohen; Mark Johnson 001; Mark Steedman (EMNLP (Findings), 2021)

Multivalent Entailment Graphs for Question Answering. - Nick McKenna; Liane Guillou; Mohammad Javad Hosseini; Sander Bijl de Vroe; Mark Johnson 001; Mark Steedman (EMNLP (1), 2021)

Multivalent Entailment Graphs for Question Answering. - Nick McKenna; Liane Guillou; Mohammad Javad Hosseini; Sander Bijl de Vroe; Mark Steedman (CoRR, 2021)

Incorporating Temporal Information in Entailment Graph Mining. - Liane Guillou; Sander Bijl de Vroe; Mohammad Javad Hosseini; Mark Johnson 001; Mark Steedman (CoRR, 2021)

Unsupervised learning of relational entailment graphs from text - Mohammad Javad Hosseini (2021)

Cross-lingual Inference with A Chinese Entailment Graph. - Tianyi Li; Sabine Weber; Mohammad Javad Hosseini; Liane Guillou; Mark Steedman (ACL (Findings), 2022)

Language Models Are Poor Learners of Directional Inference. - Tianyi Li; Mohammad Javad Hosseini; Sabine Weber; Mark Steedman (EMNLP (Findings), 2022)

Resolving Indirect Referring Expressions for Entity Selection. - Mohammad Javad Hosseini; Filip Radlinski; Silvia Pareti; Annie Louis (ACL (1), 2023)

LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction. - Jeremiah Milbauer; Annie Louis; Mohammad Javad Hosseini; Alex Fabrikant; Donald Metzler; Tal Schuster (ACL (1), 2023)

Sources of Hallucination by Large Language Models on Inference Tasks. - Nick McKenna; Tianyi Li; Liang Cheng; Mohammad Javad Hosseini; Mark Johnson 001; Mark Steedman (EMNLP (Findings), 2023)

A synthetic data approach for domain generalization of NLI models. - Mohammad Javad Hosseini; Andrey Petrov; Alex Fabrikant; Annie Louis (ACL (1), 2024)

Scalable and Domain-General Abstractive Proposition Segmentation. - Mohammad Javad Hosseini; Yang Gao; Tim Baumgärtner; Alex Fabrikant; Reinald Kim Amplayo (EMNLP (Findings), 2024)

Entailed Between the Lines: Incorporating Implication into NLI. - Shreya Havaldar; Hamidreza Alvari; John Palowitch; Mohammad Javad Hosseini; Senaka Buthpitiya; Alex Fabrikant (ACL (1), 2025)