Hande Y. Benson

22 papers A* 4A 1C 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
CoRR
Yusi Wei, Hande Y. Benson, Muge Capan
2025 J jnl
CoRR
Yusi Wei, Hande Y. Benson, Joseph Agor, Muge Capan
2024 J jnl
Decis. Support Syst.
Hao Zhong, Yuyue Chen, Chuanren Liu, Hande Y. Benson
2024 A* conf
AAAI
Cassidy K. Buhler, Hande Y. Benson
2024 J jnl
Math. Program. Comput.
Cassidy K. Buhler, Hande Y. Benson, David F. Shanno
2023 conf
PACIS
Hao Zhong, Yuyue Chen, Chuanren Liu, Hande Y. Benson
2018 J jnl
Math. Program. Comput.
Hande Y. Benson, David F. Shanno
2014 J jnl
Comput. Optim. Appl.
Hande Y. Benson, David F. Shanno
2013 J jnl
Found. Trends Robotics
Pramod Abichandani, Hande Y. Benson, Moshe Kam
2013 A* conf
ICRA
Pramod Abichandani, Hande Y. Benson, Moshe Kam
2012 A* conf
ICRA
Pramod Abichandani, Gabriel Ford, Hande Y. Benson, Moshe Kam
2011 A conf
IROS
Pramod Abichandani, Hande Y. Benson, Moshe Kam
2011 J jnl
Optim. Methods Softw.
Hande Y. Benson
2009 A* conf
ICRA
Pramod Abichandani, Hande Y. Benson, Moshe Kam
2008 J jnl
Algorithmic Oper. Res.
Igor Griva, David F. Shanno, Robert J. Vanderbei, Hande Y. Benson
2008 J jnl
Comput. Optim. Appl.
Hande Y. Benson, David F. Shanno
2008 C conf
ACC
Pramod Abichandani, Hande Y. Benson, Moshe Kam
2007 J jnl
Comput. Optim. Appl.
Hande Y. Benson, David F. Shanno
2006 J jnl
Comput. Optim. Appl.
Hande Y. Benson, Arun Sen, David F. Shanno, Robert J. Vanderbei
2004 J jnl
Math. Program.
Hande Y. Benson, David F. Shanno, Robert J. Vanderbei
2003 J jnl
Math. Program.
Hande Y. Benson, Robert J. Vanderbei
2002 J jnl
Comput. Optim. Appl.
Hande Y. Benson, Robert J. Vanderbei, David F. Shanno
redb/extractors/decompiler/bninja/utils/json_encoder.py
← Index redb/extractors/decompiler/bninja/utils/json_encoder.py python
import json


class BinaryNinjaEncoder(json.JSONEncoder):
    """Custom JSON encoder for BinaryNinja types"""

    def default(self, obj):
        # Handle Binary Ninja specific types

        # for values, we try to obtain the json for the value property
        if hasattr(obj, "value") and hasattr(obj, "confidence"):
            return obj.value

        # for strings, we simply compute the native string
        if hasattr(obj, "__str__"):
            return str(obj)

        # for all the others values we use the normal json encoder
        return json.JSONEncoder.default(self, obj)