Vahid Jalali

25 papers A* 2C 9Misc 4Journal 4Unranked 4
YearRankTypeTitle / Venue / Authors
2021 C conf
Learning Adaptations for Case-Based Classification: A Neural Network Approach.
ICCBR
Xiaomeng Ye, David Leake, Vahid Jalali, David J. Crandall
2018 C conf
Harnessing Hundreds of Millions of Cases: Case-Based Prediction at Industrial Scale.
ICCBR
Vahid Jalali, David Leake
2017 A* conf
Learning and Applying Case Adaptation Rules for Classification: An Ensemble Approach.
IJCAI
Vahid Jalali, David Leake, Najmeh Forouzandehmehr
2017 J jnl
Learning and applying adaptation rules for categorical features: An ensemble approach.
AI Commun.
Vahid Jalali, David Leake, Najmeh Forouzandehmehr
2017 C conf
Scaling Up Ensemble of Adaptations for Classification by Approximate Nearest Neighbor Retrieval.
ICCBR
Vahid Jalali, David Leake
2016 J jnl
Enhancing case-based regression with automatically-generated ensembles of adaptations.
J. Intell. Inf. Syst.
Vahid Jalali, David Leake
2016 C conf
Ensemble of Adaptations for Classification: Learning Adaptation Rules for Categorical Features.
ICCBR
Vahid Jalali, David B. Leake, Najmeh Forouzandehmehr
2015 C conf
CBR Meets Big Data: A Case Study of Large-Scale Adaptation Rule Generation.
ICCBR
Vahid Jalali, David B. Leake
2014 A* conf
Adaptation-Guided Case Base Maintenance.
AAAI
Vahid Jalali, David Leake
2014 Misc conf
An Ensemble Approach to Adaptation-Guided Retrieval.
FLAIRS
Vahid Jalali, David Leake
2014 — ch.
Context and Case-Based Reasoning.
Context in Computing
David B. Leake, Vahid Jalali
2014 C conf
On Retention of Adaptation Rules.
ICCBR
Vahid Jalali, David Leake
2014 Misc conf
Special Track on Case-Based Reasoning.
FLAIRS
Joseph Kendall-Morwick, Vahid Jalali
2013 — conf
A Context-Aware Approach to Selecting Adaptations for Case-Based Reasoning.
CONTEXT
Vahid Jalali, David Leake
2013 Misc conf
An Ensemble Approach to Instance-Based Regression Using Stretched Neighborhoods.
FLAIRS
Vahid Jalali, David Leake
2013 C conf
Extending Case Adaptation with Automatically-Generated Ensembles of Adaptation Rules.
ICCBR
Vahid Jalali, David Leake
2013 C conf
On Deriving Adaptation Rule Confidence from the Rule Generation Process.
ICCBR
Vahid Jalali, David Leake
2012 C conf
Custom Accessibility-Based CCBR Question Selection by Ongoing User Classification.
ICCBR
Vahid Jalali, David Leake
2012 Misc conf
Customizing Question Selection in Conversational Case-Based Reasoning.
FLAIRS
Vahid Jalali, David Leake
2011 — conf
A Study of RDB-Based RDF Data Management Techniques.
WAIM
Vahid Jalali, Mo Zhou, Yuqing Wu
2011 J jnl
A Unified Architecture for Biomedical Search Engines Based on Semantic Web Technologies.
J. Medical Syst.
Vahid Jalali, Mohammad Reza Matash Borujerdi
2011 J jnl
Information retrieval with concept-based pseudo-relevance feedback in MEDLINE.
Knowl. Inf. Syst.
Vahid Jalali, Mohammad Reza Matash Borujerdi
2009 — conf
A Hybrid Information Retrieval System for Medical Field Using MeSH Ontology.
ICISTM
Vahid Jalali, Mohammad Reza Matash Borujerdi
2009 — ch.
Concept Based Pseudo Relevance Feedback in Biomedical Field.
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
Vahid Jalali, Mohammad Reza Matash Borujerdi
2009 — conf
Personalized Semantic Peer Selection in Peer-to-Peer Networks.
ICISTM
Vahid Jalali, Mohammad Reza Matash Borujerdi
redb/extractors/decompiler/bninja/arch/architecture.py
← Index redb/extractors/decompiler/bninja/arch/architecture.py python 
from abc import ABC, abstractmethod


class Architecture(ABC):
    @abstractmethod
    def is_control_flow(self, operand):
        pass

    @abstractmethod
    def is_register(self, register):
        pass

    @abstractmethod
    def is_general_purpose_register(self, register):
        pass