yusuke1997/dblp-id-title huggingface dataset:
A Two-Period Portfolio Selection Model for Asset-backed Securitization
Note on Upper Bounds for TSP Domination Number
Performance of Simulated Annealing, Tabu Search, and Evolutionary Algorithms for Multi-objective Network Partitioning
The Greedy Algorithm for the Symmetric TSP
Integrated Software Tools for the OR/MS Classroom
Computing general static-arbitrage bounds for European basket options via Dantzig-Wolfe decomposition
The makespan problem of scheduling multi groups of jobs on multi processors at different speeds
Multiobjective Optimization in Health Care Management. A metaheuristic and simulation approach
2-Commodity Integer Network Synthesis Problem
Quadratic Binary Programming Models in Computational Biology
An Exact Mathematical Programming Approach to Multiple RNA Sequence-Structure Alignment
Scheduling Weighted Packets with Deadlines over a Fading Channel
Compatible Weights and Valid Cycles in Non-spanning OSPF Routing Patterns
Reducing the tongue-and-groove underdosage in MLC shape matrix decomposition
Mean-Absolute Deviation Portfolio Models with Discrete Choice Constraints
Global convergence of a primal-dual interior-point method for nonlinear programming
Optimization in 2 m 3 n Factorial Experiments
On Packing Rectangles with Resource Augmentation: Maximizing the Profit
Polynomial Interior Point Algorithms for General Linear Complementarity Problems
Vertex 3-colorability of Claw-free Graphs
Reductions for the Stable Set Problem
Theoretical aspects of scheduling coupled-tasks in the presence of compatibility graph
Trioid: A generalization of matroid and the associated polytope
Greedy Algorithms For On-Line Set-Covering
Optimizing the gVERSE RF Pulse Sequence: An Evaluation of Two Competitive Software Algorithms
The Abridged Nested Decomposition Method for Multistage Stochastic Linear Programs with Relatively Complete Recourse
Optimizing Chemotherapy Scheduling By Iteratively Solving a Recurrence Equation
A two-phase method for bi-objective combinatorial optimization and its application to the TSP with profits
K 3, 3 Minors and the Maximum-Flow Problem
General Form of Nonmonotone Line Search Techniques For Unconstrained Optimization
Solving some Multistage Robust Decision Problems with Huge Implicitly Defined Scenario Trees
The AID Method for Global Optimization
Discovering Trends in Gene Expression Data Using a Hybrid Evolutionary Algorithm
On-line bin Packing with Two Item Sizes
Preemptive Scheduling with Position Costs
Some Necessary Conditions and a General Suffciency Condition for the Validity of A Gilmore-Gomory Type Patching Scheme for the Traveling
An Efficient Hybrid Ant Colony System for the Generalized Traveling Salesman Problem
On the Approximability of TSP on Local Modifications of Optimally Solved Instances
Review of the electronic book "Dealing with Uncertainties"
A Solution Approach for Two-Stage Stochastic Nonlinear Mixed Integer Programs
Analysis and Comparison of Three Algorithms for the Vertex Cover Problem on Large Graphs with Low Memory Capacities
Solutions diversification in a column generation algorithm
Vehicle Routing Problem with Time Windows: An Evolutionary Algorithmic Approach
Organizing National Elections in India to Elect the 543 Members of the Lok Sabha
The alpha-reliable shortest path problem
Complementarity Problems And Positive Definite Matrices
Sensitivity analysis in convex quadratic optimization: Simultaneous perturbation of the objective and right-hand-side vectors
A Combinatorial Optimization Approach for Determining Composition and Sequence of Polymers
Fast Descent Methods for LPs With No Matrix Inversions
Constructing Incremental Sequences in Graphs
Hardness results and approximation algorithms for identifying codes and locating-dominating codes in graphs
Generalized Traveling Salesman Problem Reduction Algorithms
Mathematical Models of the Delay Constrained Routing Problem
Probabilistic optimization in graph-problems
Review of the electronic book "Global Optimization with Maple" by János D. Pintér
A full-Newton step infeasible interior-point algorithm for linear complementarity problems based on a kernel function
Binary matrix decompositions without tongue-and-groove underdosage for radiation therapy planning
"Binarize and Project" to Generate Cuts for General Mixed-integer Programs
An improved LS algorithm for the problem of scheduling multi groups of jobs on multi processors at the same speed
O ( m ) Bound on Number of Iterations in Sphere Methods for LP
On-line Network Synthesis
Alternative Decomposition Based Approaches for Assigning Dusjunctive Tasks
Approximated MLC shape matrix decomposition with interleaf collision constraint
Sphere Methods for LP
Solution Methods for a Scheduling Problem with Incompatibility and Precedence Constraints
Comparisons of Commercial MIP Solvers and an Adaptive Memory (Tabu Search) Procedure for a Class of 0-1 Integer Programming Problems
Robust evaluations for duals of non-negative linear programs with box-constrained uncertainties
Recoverable Robustness for Train Shunting Problems
Identifying Active Manifolds
Minimum Cost Flow Problem on Dynamic Multi Generative Network flows
A Network Flow Model for Irrigation Water Management
Probabilistic Model and Solution Algorithm for the Electricity Retailers in the Italian Market
Simple and Fast Reoptimizations for the Steiner Tree Problem
Hybrid Continuous Interacting Ant Colony aimed at Enhanced Global Optimization
Uncertainty and Information: Foundations of Generalized Information Theory (a book review)
Robust Selling Times in Adaptive Portfolio Management
Some Structural Properties of a Least Central Subtree of a Tree
The Computational Efficiency of Ji-Lee-Li Algorithm for the Assignment Problem
Approximating the metric 2-Peripatetic Salesman Problem
Approximable 1-Turn Routing Problems in All-Optical Mesh Networks
Experimental Analysis of the MRF Algorithm for Segmentation of Noisy Medical Images
A New Practically Efficient Interior Point Method for LP
Cooperation in multiorganization matching
Branch-and-Cut Algorithms for Winner Determination in Discount Auctions
Santosh Narayan Kabadi 1956-2010
Simplex Adjacency Graphs in Linear Optimization
Variants of Shortest Path Problems
Combining random forest and copula functions: A heuristic approach for selecting assets from a financial crisis perspective
Fuzzy-logic-based decision-making system for stock allocation in a distribution supply chain
Increasing the utility of performance audit reports: Using textual analytics tools to improve government reporting
Risk assessment in internal auditing: a neural network approach
The impact of manager philosophy on knowledge management systems
Performance assessment of ensemble learning systems in financial data classification
Identifying Tiers of Influence in Expert Systems Research: II
The impact of website design on the perceived credibility of internet financial reporting
Constructing a knowledge-based system to aid scenario-based strategic planning: an application to the European airline industry
The 50 Most Downloaded Papers in Intelligent Systems in Accounting , Finance and Management in 2014
Credit risk modeling strategies: the road to serfdom?
A Psychological Approach to Microfinance Credit Scoring via a Classification and Regression Tree
Conventional and neural network target-matching methods dynamics: The information technology mergers and acquisitions market in the USA
Causal Network Representations in Factor Investing
Evaluating interpretable machine learning predictions for cryptocurrencies
Neural networks for the analysis and forecasting of advertising and promotion impact
Configuring blockchain architectures for transaction information in blockchain consortiums: The case of accounting and supply chain systems
Artificial neural networks with feature transformation based on domain knowledge for the prediction of stock index futures
Refining the behavior of multiple expert systems: a concept and empirical results
Enhanced financial fraud detection using cost-sensitive cascade forest with missing value imputation
Determinants of Capital Structure in the UK Retail Industry: a Comparison of Multiple Regression and generalized Regression Neural Network
Sensor-based Condition Monitoring and Predictive Maintenance - An Integrated Intelligent Management Support System
Combining data and text mining techniques for analysing financial reports
Second international meeting on artificial intelligence in accounting, finance and tax, Punta Umbria, Spain, 27-28 September 1996
A rule-based fuzzy reasoning system for assessing the risk of management fraud
Effects of Price Regulations and Dark Pools on Financial Market Stability: An Investigation by Multiagent Simulations
IN-QUOTES: a knowledge-based system for supporting decision making in weakly structured domains
Decision-making capabilities of a hybrid system applied to the auditor's going-concern assessment
An Active Asset Management Investment Process for Drawdown-Averse Investors
A fuzzy logic-driven multiple knowledge integration framework for improving the performance of expert systems
Opportunities for artificial intelligence development in the accounting domain: the case for auditing
Wrapped input selection using multilayer perceptrons for repeat-purchase modeling in direct marketing
The Impact of the Introduction of an Expert System on a Public Accounting Organization
Profitability of alternative methods of combining the signals from technical trading systems
Energy Efficiency Evaluation in manufacturing through an Ontology-Represented Knowledge Base
Open Information Enterprise Transactions: Business Intelligence and Wash and Spoof Transactions in Blockchain and Social Commerce
Exploring the predictability of range-based volatility estimators using recurrent neural networks
Multilayer-neighbor local binary pattern for facial expression recognition
Index tracking with constrained portfolios
Erratum and addendum - GOOGLE'S duplex: Pretending to be human
Soft Computing Techniques for Querying XBRL Data
Hybrid knowledge integration using the fuzzy genetic algorithm: prediction of the Korea stock price index
Hedonic price models and indices based on boosting applied to the Dutch housing market
Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH-LSTM based Approach
ISAFM paper of the year for 2018
Assessing the predictive performance of artifIcial neural network-based classifiers based on different data preprocessing methods, distributions and training mechanisms
Agent-based supply chain disintermediation versus re-intermediation: economic and technological perspectives
Change Detection of Orders in Stock Markets using a Gaussian Mixture Model
Universal Enterprise Adaptive Object Model: A Semantic Web-Based Implementation of Organizational Self-Awareness
An approximation algorithm for optimal consumption/investment problems
Commodity price forecasting via neural networks for coffee, corn, cotton, oats, soybeans, soybean oil, sugar, and wheat
Using Artificial Neural Networks to forecast Exchange Rate, including VAR-VECM residual analysis and prediction linear combination
An AHP & Survey for Selecting Workflow Management Systems
Data mining for improving the solder bumping process in the semiconductor packaging industry
A Flexible Approach to Semantic Annotation Systems for Web Content
Building An Intelligent Business Process Reengineering System: A Case-Based Approach
Periodicities of Foreign Exchange Markets and the Directional Change Power Law
Visualizing the Invisible Hand of Markets: Simulating Complex Dynamic Economic Interactions
Machine learning for financial transaction classification across companies using character-level word embeddings of text fields
Clustering technique for risk classification and prediction of claim costs in the automobile insurance industry
Knowledge representation of rules: a note
Agent-based stochastic production lines design
End-user access to multiple sources: incorporating knowledge discovery into knowledge management
Stockbot: a monitoring and acting software agent for stock markets
Neural nets or the logit model? A comparison of each model's ability to predict commercial bank failures
Adaptive Methods in Macroeconomic Forecasting
Imitation and Coordination in Small-World Networks
The development of an expert system for managerial evaluation of internal controls
Designing an if-then Rules-Based Ensemble of Heterogeneous bankruptcy Classifiers: a Genetic Algorithm Approach
Stock Price Prediction Using Prior Knowledge and Neural Networks
Knowledge Management Tools for Business Process Support and Reengineering
MAPS: A Planning System for International Market Entry
Pattern recognition and financial time-series
How the quality of initial coin offering white papers influences fundraising: Using security token offerings white papers as a benchmark
Predicting SME loan delinquencies during recession using accounting data and SME characteristics: The case of Greece
ISAFM Paper of the Year for 2016
ISAFM Paper of the Year for 2010
Lottery Payment Cards: A Study of Mental Accounting
Improving expected tail loss estimates with neural networks
Bankruptcy prediction of financially stressed firms: an examination of the predictive accuracy of artificial neural networks
A derivatives trading recommendation system: The mid-curve calendar spread case
A model for valuation of the branch offices of a savings bank based on rough sets
Time series forecasting using evolutionary neural nets implemented in a volunteer computing system
Computer-aided auditing of inter-organizational trade procedures
Neural networks for estimating Macro Asset Pricing model in football clubs
The digital future of internal staffing: A vision for transformational electronic human resource management
A textual analysis of the US Securities and Exchange Commission's accounting and auditing enforcement releases relating to the Sarbanes-Oxley Act
A game-theoretic approach to decision making under uncertainty
Credit Scoring, Statistical Techniques and Evaluation Criteria: A Review of the Literature
Particle swarm optimization approach to portfolio construction
Enhancing Self-Organizing Map Capabilities with Graph Clustering: An Application to Financial Markets
The prediction of profitability using accounting narratives: a variable-precision rough set approach
The optimal timing of the transfer of hidden reserves in the German and Austrian tax systems
Design principles for long-lived Internet agents
Modelling non-linearity in economic classification with neural networks
The General Motors' variation-reduction adviser: an example of grassroots knowledge management development
Risk analysis in complex systems: intelligent systems in finance
Co-evolved genetic programs for stock market trading
ISAFM Paper of the Year for 2011
Algorithms for handling soft constraints and their applications to staff scheduling problems
Beyond the numbers: Mining the Annual Reports for Hidden cues Indicative of Financial Statement Fraud
An intelligent agent-based competitive contract process: UNIK-AGENT
Exploring corporate governance research in accounting journals through latent semantic and topic analyses
Remarks on a copula-based conditional value at risk for the portfolio problem
Shock around the clock - on the causal relations between international stock markets, the strength of causality and the intensity of shock transmission: an econometric analysis
Analysis of an Option Market Dynamics Based on a Heterogeneous Agent Model
Bankruptcy prediction: the influence of the year prior to failure selected for model building and the effects in a period of economic decline
Enterprise large language models: Knowledge characteristics, risks, and organizational activities
Business Intelligence (Bi) Success and the Role of Bi Capabilities
A comparison of nearest neighbours, discriminant and logit models for auditing decisions
A Dynamic Fuzzy Money Management Approach for Controlling the Intraday Risk-Adjusted Performance of AI Trading Algorithms
Predicting credit card fraud with Sarbanes-Oxley assessments and Fama-French risk factors
Predicting direction shifts on Canadian-US exchange rates with artificial neural networks
Nonlinear multiple regression methods: a survey and extensions
A structured approach to conflict prediction in information systems strategy implementation
Tehran stock exchange prediction using sentiment analysis of online textual opinions
An Expert System Approach to Audit Planning and Evaluation in the Belief-Function Framework
Time to Slow Down for High-Frequency Trading? Lessons from Artificial Markets
GOOGLE'S Duplex: Pretending to be human
Changing investment styles: style creep and style gaming in the hedge fund industry
Can Deep Learning Models Enhance the Accuracy of Agricultural Price Forecasting? Insights From India
Biogeography based optimization for mining rules to assess credit risk
Interpretable credit model development via artificial neural networks
A neural-network-based decision-making model in the peer-to-peer lending market
Feature selection methods involving support vector machines for prediction of insolvency in non-life insurance companies
Evolution of multivariate copulas in continuous and discrete processes
Trend-cycle Estimation Using Fuzzy Transform and Its Application for Identifying Bull and Bear Phases in Markets
Micro Credit Risk Metrics: a Comprehensive Review
How information and communication technology affects decision-making on innovation diffusion: An agent-based modelling approach
An examination of the psychological traits that affect the ability of tax experts to communicate their expertise
A validated expert system for decision making in corporate recovery
Promoting Entrepreneurship at the Base of the Social Pyramid via Pricing Systems: A case Study
Towards an ontology for electronic transaction services
An efficient graph-based peer selection method for financial statements
Empirical Analysis of Speculative Attacks with Contractionary Real Effects
Summarizing electronic discourse
Dynamic pricing in a reputation-brokered agent-mediated marketplace
Approaches to locating expertise using corporate knowledge
Belief Networks for Expert System Development in Auditing
'Big Data', the 'Internet of Things' and the 'Internet of Signs'
TSFDC: A trading strategy based on forecasting directional change
Features selection, data mining and finacial risk classification: a comparative study
Intelligent Systems in Accounting, Finance and Management : ISI journal and proceeding citations, and research issues from most-cited papers
SCOPE: a blackboard model-based decision support system for crude-oil trading
Evaluating business credit risk by means of approach-integrating decision rules and case-based learning
Scenario Generation for Operational Risk
Anti-money laundering and financial fraud detection: A systematic literature review
Decision making using time-dependent knowledge: knowledge augmentation using qualitative reasoning
Curbing domestic violence: instantiating C-K theory with formal concept analysis and emergent self-organizing maps
VaRSOM: A Tool to Monitor Markets' Stability Based on Value at Risk and Self-Organizing Maps
A Fuzzy Cognitive Map-Based Bi-Directional Inference Mechanism: An Application to Stock Investment Analysis
A multi-agent-based hybrid framework for international marketing planning under uncertainty
Tick size and market quality: Simulations based on agent-based artificial stock markets
Multivariate volatility analysis of VW stock prices
A data mining approach to financial time series modelling and forecasting
Predicting base station return on investment in the telecommunications industry: Machine-learning approaches
Artificial neural networks in accounting and finance: modeling issues
Organizing and personalizing intelligence gathering from the web
Credit scoring and reject inference with mixture models
Do Sentiments Matter in Fraud Detection? Estimating Semantic Orientation of Annual Reports
Deep networks for predicting direction of change in foreign exchange rates
High-Frequency Exchange-Rate Prediction with an Artificial Neural Network
Modelling the Adaptation of Business Continuity Planning by Businesses Using Neural Networks
Journal entry anomaly detection model
The impacts of electronic commerce on auditing practices: an auditing process model for evidence collection and validation
Integrating intelligent systems into marketing to support market segmentation decisions
Data-driven optimization of peer-to-peer lending portfolios based on the expected value framework
How fast to run in the Red Queen race?
Matching Intelligent Systems with Business Process Reengineering
A knowledge-based framework for incorporating investor's preference into portfolio decision-making
Strategic analysis of providing corporate sustainability open data
DNA Mining and genealogical information systems: Not just for finding family ethnicity
Audit-firm group appointment: an artificial intelligence approach
Data mining using a genetic algorithm-trained neural network
Instruments to visualize design engineering information and activities in automotive supplier companies
Impact of interchange fees on a nonsaturated multi-agent payment card market
A two-step system for direct bank telemarketing outcome classification
An application of artificial neural networks in corporate social responsibility decision making
Twitter Mining for Discovery, Prediction and Causality: Applications and Methodologies
Who gains and who loses on stock markets? Risk preferences and timing matter
Using large language models to write theses and dissertations
Comparative performance of backpropagation networks designed by genetic algorithms and heuristics
Minimizing Basel III Capital Requirements with Unconditional Coverage Constraint
Multiagent systems for workflow
Using a genetic algorithm-based classifier system for modeling auditor decision behavior in a fraud setting
Management of Knowledge Sources Supported by Domain Ontologies: Building and Construction Case Studys
A novel fuzzy neural approach to data reconstruction and failure prediction
Application and performance of data mining techniques in stock market: A review
Internet financial reporting disclosure index of e-commerce businesses on social media
Real option valuation with neural networks
Interpretability and mean-square error performance of fuzzy inference systems For Data Mining
Using Genetic Algorithms to Optimize the Selection of Cost Drivers in Activity-based Costing
Assessing qualitative similarities between financial reporting frameworks using visualization and rules: COREP vs. pillar 3
Explaining stock markets' performance during the COVID-19 crisis: Could Google searches be a significant behavioral indicator?
Web usage mining approaches to page recommendation and restructuring
The Impact of Feature Selection: a Data-Mining Application in Direct Marketing
A case-based reasoning approach to bankruptcy prediction modeling
Forecasting spot prices of agricultural commodities in India: Application of deep-learning models
Improving ETF Prediction Through Sentiment Analysis: A DeepAR and FinBERT Approach With Controlled Seed Sampling
Classification techniques for the identification of falsified financial statements: a comparative analysis
Cluster analysis using a validated self-organizing method: cases of problem identification
Exploring the time-frequency connectedness among non-fungible tokens and developed stock markets
Project selection based on intellectual capital scorecards
Conceptualizing Big Data: Analysis of Case Studies
Assessing early warning signals of currency crises: a fuzzy clustering approach
Measuring relative volatility in high-frequency data under the directional change approach
The design of EDI controls using case-based reasoning: EDICBR
Corporate dividend Policy Determinants: Intelligent versus a Traditional Approach
Restructuring the credit process: behaviour scoring for german corporates
Forecasting volatility of crude oil futures using a GARCH-RNN hybrid approach
Assessing risks due to threats to internal control in a computer-based accounting information system: a pragmatic approach based on fuzzy set theory
Predicting the outcome following bankruptcy filing: a three-state classification using neural networks