This paper provides a survey on the application of datascience and Artificial Intelligence (DSAI) in decision-making for Financial services and Corporate firms. Firstly, we review the application of DSAI in Financial...
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This paper provides a survey on the application of datascience and Artificial Intelligence (DSAI) in decision-making for Financial services and Corporate firms. Firstly, we review the application of DSAI in Financial service decisions. The ability of DSAI models to capture the linear and nonlinear behavior of time-series data helps the development of DSAI applications in Financial Services. Secondly, we review the application of DSAI in Corporate finance decisions, which is found to be in growing stages. In Corporate finance decisions, the researchers have developed hybrid models consisting of DSAI and econometrics techniques. The success of hybrid models suggests that applying DSAI along with econometric models improves the efficiency of Corporate finance decision-making.
Due to its ability to deal well with the features of graph structure (social network, molecular structure), graph neural network (GNN) has recently shown amazing capabilities in many fields (biology, chemistry), which...
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Gaussian mixture models are classical but still popular machine learning *** appealing feature of Gaussian mixture models is their tractability,that is,they can be learned efficiently and exactly from data,and also su...
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Gaussian mixture models are classical but still popular machine learning *** appealing feature of Gaussian mixture models is their tractability,that is,they can be learned efficiently and exactly from data,and also support efficient exact inference queries like soft clustering data *** seemingly simple,Gaussian mixture models can be hard to *** are at least four aspects to understanding Gaussian mixture models,namely,understanding the whole distribution,its individual parts(mixture components),the relationships between the parts,and the interplay of the whole and its *** a structured literature review of applications of Gaussian mixture models,we found the need for supporting all four *** identify candidate visualizations that effectively aid the user needs,we structure the available design space along three different representations of Gaussian mixture models,namely as functions,sets of parameters,and sampling *** the design space,we implemented three design concepts that visualize the overall distribution together with its ***,we assessed the practical usefulness of the design concepts with respect to the different user needs in expert interviews and an insight-based user study.
This paper aims to investigate the problem of gaze object prediction in single images. We propose an application-friendly network based on CLIP for gaze object prediction. To avoid domain bias, we utilize a shallow fe...
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The surge of graph neural networks has catalyzed significant advancements in recommendation systems by enabling more effective modeling of user-item interactions within undirected bipartite graphs. However, the prolif...
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This research tackles the challenge of detecting hate speech and offensive content in political discussions on social media. By employing natural language processing (NLP) techniques, the study aims to contribute to c...
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Deep Equilibrium (DEQ) models hold great promise for expanding the capabilities of neural networks and showcasing competitive performances with less memory cost. However, the backward propagation steps in their traini...
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A great deal of economic problems are related to detecting the stability of time series data,where the main interest is in the unit root *** this paper,we consider the unit root testing problem with errors being long-...
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A great deal of economic problems are related to detecting the stability of time series data,where the main interest is in the unit root *** this paper,we consider the unit root testing problem with errors being long-memory processes with the LARCH structure.A new test statistic is developed by using the random weighted bootstrap *** turns out that the proposed statistic has a chisquared distribution asymptotically regardless of the process being stationary or nonst at ionary,and with or without an intercept *** simulation results show that the statistic has a desired finite sample performance in terms of both size and power.A real data application is also given relying on the inflation rate data of 17 countries.
Group testing involves discovering a small subset of distinguished subjects from a large population while efficiently reducing the total number of *** has been widely used for industrial testing,information technology...
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Group testing involves discovering a small subset of distinguished subjects from a large population while efficiently reducing the total number of *** has been widely used for industrial testing,information technology,and biology,especially epidemic ***,in reality,are noisy for the presence of false *** tests are accurate but time-consuming,while others are cheaper but less *** which test to use is constrained by various considerations,such as availability,cost,accuracy,and *** this paper,we propose flexible,efficient,and accurate tests(FEATs).FEATs are based on group testing with simple but careful designs by incorporating ideas such as close contact cliques and repeated *** could dramatically improve the efficiency or accuracy of existing *** example,for accurate but slow tests,the FEAT can improve efficiency multiple times without compromising *** the other hand,for fast but inaccurate tests,the FEAT can sharply reduce the false-negative rate(FNR)and significantly increase *** justifications are *** point out some scenarios where the FEAT can be effectively employed.
This paper describes the structure and findings of the WILDRE 2024 shared task on code-mixed less-resourced sentiment analysis for Indo-Aryan Languages. The participants were asked to submit the test data’s final pre...
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