Search Results - "Leelanupab, Teerapong"

Financial Latent Dirichlet Allocation (FinLDA): Feature Extraction in Text and Data Mining for Financial Time Series Prediction by Kanungsukkasem, Nont, Leelanupab, Teerapong

“…News has been an important source for many financial time series predictions based on fundamental analysis. However, digesting a massive amount of news and…”
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A multi-sequences MRI deep framework study applied to glioma classfication by Coupet, Matthieu, Urruty, Thierry, Leelanupab, Teerapong, Naudin, Mathieu, Bourdon, Pascal, Maloigne, Christine Fernandez, Guillevin, Rémy

“…Glioma is one of the most important central nervous system tumors, ranked 15th in the most common cancer for men and women. Magnetic Resonance Imaging (MRI)…”
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Crowdsourcing interactions: using crowdsourcing for evaluating interactive information retrieval systems by Zuccon, Guido, Leelanupab, Teerapong, Whiting, Stewart, Yilmaz, Emine, Jose, Joemon M., Azzopardi, Leif

“…In the field of information retrieval (IR), researchers and practitioners are often faced with a demand for valid approaches to evaluate the performance of…”
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Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection by Khramtsova, Ekaterina, Leelanupab, Teerapong, Zhuang, Shengyao, Baktashmotlagh, Mahsa, Zuccon, Guido

“…In this demo we present a web-based application for selecting an effective pre-trained dense retriever to use on a private collection. Our system, DenseQuest,…”
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Crowdsourcing interactions: using crowdsourcing for evaluating interactive information retrieval systems: Special Issue on Crowdsourcing by ZUCCON, Guido, LEELANUPAB, Teerapong, WHITING, Stewart, YILMAZ, Emine, JOSE, Joemon M, AZZOPARDI, Leif

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A ranking framework and evaluation for diversity-based retrieval by Leelanupab, Teerapong

“…There has been growing momentum in building information retrieval (IR) systems that consider both relevance and diversity of retrieved information, which…”
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Deep Neural Networks for the Qualitative Analysis of Myocardial Perfusion Emission Computed Tomography Images by Pruthipanyasakul, Nareekarn, Kanungsukkasem, Nont, Urruty, Thierry, Leelanupab, Teerapong

“…Integrating AI into medical diagnosis can provide a more accurate diagnosis when medical staff make treatment decisions. This paper studied on several deep…”
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Evaluating a thermal icon for the enhancement of mobile feedback perception in noisy and bumpy environments by Ketna, Monticha, Leelanupab, Teerapong

“…The shortcoming of commonly used mobile feedbacks, e.g., audio and vibrotactile, is that they are often not suitable for some environments, such as in very…”
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Learning and immediate retention of Japanese vocabulary using generated mnemonic keywords by Leelanupab, Teerapong, Anonthanasap, Orapin

“…This laboratory-based user study is designed to evaluate automated mnemonic keywords generation systems for Japanese vocabulary learning. We examine our…”
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Power of crowdsourcing in Twitter to find similar/related users by Kanungsukkasem, Nont, Leelanupab, Teerapong

“…Identifying similar users in social media, e.g., Twitter, is very useful for a variety of applications, such as promoting social connections by user…”
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Keyword-Text Graph Representation for Short Text Classification by Chuanakrud, Piyawat, Leelanupab, Teerapong, Damrongrat, Chaianun, Kanungsukkasem, Nont

“…Short text classification is an essential task in Natural Language Processing. This task is widely applied to many applications, such as spam filtering,…”
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Finding potential influences of a specific financial market in Twitter by Kanungsukkasem, Nont, Leelanupab, Teerapong

“…This paper proposes a new framework to identify and rank Twitter accounts of which short messages or tweets may influence a specific financial stock price. In…”
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On the reliability of diversity and redundancy-based search metrics by Tangsomboon, Ake, Leelanupab, Teerapong

“…Traditional approaches to ranking documents in Information Retrieval (IR) are under the assumption that the representation of information needs is clear and…”
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A Scalable Service Architecture with Request Queuing for Resource-Intensive Tasks by Chaowvasin, Kasidis, Sutanchaiyanonta, Pun, Kanungsukkasem, Nont, Leelanupab, Teerapong

“…Deploying Machine Learning (ML) prediction or Data Analytic (DA) process as a service in a Web API is not a trivial task. A number of settings and dependency…”
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Discover Underlying Topics in Thai News Articles: A Comparative Study of Probabilistic and Matrix Factorization Approaches by Pitichotchokphokhin, Pimpitcha, Chuangkrud, Piyawat, Kalakan, Kongkan, Suntisrivaraporn, Boontawee, Leelanupab, Teerapong, Kanungsukkasem, Nont

“…Topic modeling is an unsupervised learning approach, which can automatically discover the hidden thematic structure in text documents. For text mining, topic…”
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Automated English mnemonic keyword suggestion for learning Japanese vocabulary by Anonthanasap, Orapin, Ketna, Monticha, Leelanupab, Teerapong

“…This paper proposes a new methodology that automatically generates English mnemonic keywords to support the learning of basic Japanese vocabulary. A new…”
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CoZpace: A proposal for collaborative web search for sharing search records and interactions by Kruajirayu, Hannarin, Tangsomboon, Ake, Leelanupab, Teerapong

“…Today's search systems are mainly designed for one user to use individually. Search activities in practice can, however, be conducted by two or more users…”
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The development of iCALL application for Thai learners to study a LAO language by Anonthansap, Orapin, Iamjanchai, Pannisa, Leelanupab, Teerapong

“…Language is a method of human communication and essential to express ourselves, e.g., ideas, feelings, thoughts. With an agreement of ten ASEAN nations in…”
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Recognition of NASDAQ stock symbols in Tweets by Kanungsukkasem, Nont, Netisopakul, Ponrudee, Leelanupab, Teerapong

“…The massive volume of Twitter data has attracted much attention of researchers to study their correlation with stock market. Tweets with stock symbols can be…”
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