A Hybrid Information Retrieval System for Medical Field Using MeSH Ontology. - Vahid Jalali; Mohammad Reza Matash Borujerdi (ICISTM, 2009)

Personalized Semantic Peer Selection in Peer-to-Peer Networks. - Vahid Jalali; Mohammad Reza Matash Borujerdi (ICISTM, 2009)

Concept Based Pseudo Relevance Feedback in Biomedical Field. - Vahid Jalali; Mohammad Reza Matash Borujerdi (Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, 2009)

A Study of RDB-Based RDF Data Management Techniques. - Vahid Jalali; Mo Zhou; Yuqing Wu (WAIM, 2011)

A Unified Architecture for Biomedical Search Engines Based on Semantic Web Technologies. - Vahid Jalali; Mohammad Reza Matash Borujerdi (J. Medical Syst., 2011)

Information retrieval with concept-based pseudo-relevance feedback in MEDLINE. - Vahid Jalali; Mohammad Reza Matash Borujerdi (Knowl. Inf. Syst., 2011)

Customizing Question Selection in Conversational Case-Based Reasoning. - Vahid Jalali; David Leake (FLAIRS, 2012)

Custom Accessibility-Based CCBR Question Selection by Ongoing User Classification. - Vahid Jalali; David Leake (ICCBR, 2012)

A Context-Aware Approach to Selecting Adaptations for Case-Based Reasoning. - Vahid Jalali; David Leake (CONTEXT, 2013)

An Ensemble Approach to Instance-Based Regression Using Stretched Neighborhoods. - Vahid Jalali; David Leake (FLAIRS, 2013)

On Deriving Adaptation Rule Confidence from the Rule Generation Process. - Vahid Jalali; David Leake (ICCBR, 2013)

Extending Case Adaptation with Automatically-Generated Ensembles of Adaptation Rules. - Vahid Jalali; David Leake (ICCBR, 2013)

Context and Case-Based Reasoning. - David B. Leake; Vahid Jalali (Context in Computing, 2014)

Adaptation-Guided Case Base Maintenance. - Vahid Jalali; David Leake (AAAI, 2014)

An Ensemble Approach to Adaptation-Guided Retrieval. - Vahid Jalali; David Leake (FLAIRS, 2014)

Special Track on Case-Based Reasoning. - Joseph Kendall-Morwick; Vahid Jalali (FLAIRS, 2014)

On Retention of Adaptation Rules. - Vahid Jalali; David Leake (ICCBR, 2014)

CBR Meets Big Data: A Case Study of Large-Scale Adaptation Rule Generation. - Vahid Jalali; David B. Leake (ICCBR, 2015)

Ensemble of Adaptations for Classification: Learning Adaptation Rules for Categorical Features. - Vahid Jalali; David B. Leake; Najmeh Forouzandehmehr (ICCBR, 2016)

Enhancing case-based regression with automatically-generated ensembles of adaptations. - Vahid Jalali; David Leake (J. Intell. Inf. Syst., 2016)

Scaling Up Ensemble of Adaptations for Classification by Approximate Nearest Neighbor Retrieval. - Vahid Jalali; David Leake (ICCBR, 2017)

Learning and Applying Case Adaptation Rules for Classification: An Ensemble Approach. - Vahid Jalali; David Leake; Najmeh Forouzandehmehr (IJCAI, 2017)

Learning and applying adaptation rules for categorical features: An ensemble approach. - Vahid Jalali; David Leake; Najmeh Forouzandehmehr (AI Commun., 2017)

Harnessing Hundreds of Millions of Cases: Case-Based Prediction at Industrial Scale. - Vahid Jalali; David Leake (ICCBR, 2018)

Learning Adaptations for Case-Based Classification: A Neural Network Approach. - Xiaomeng Ye; David Leake; Vahid Jalali; David J. Crandall (ICCBR, 2021)