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Teerapong Leelanupab
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2020 – today
- 2024
- [c19]Ekaterina Khramtsova
, Teerapong Leelanupab
Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection. SIGIR 2024: 2739-2743 - [i1]Ekaterina Khramtsova, Teerapong Leelanupab, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon:
Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection. CoRR abs/2407.06685 (2024) - 2023
- [c18]Nont Kanungsukkasem
When are Latent Topics Useful for Text Mining? - Enriching Bag-of-Words Representations with Information Extraction in Thai News Articles. ACIIDS (Companion) 2023: 205-219 - 2022
- [j3]Matthieu Coupet, Thierry Urruty
A multi-sequences MRI deep framework study applied to glioma classfication. Multim. Tools Appl. 81(10): 13563-13591 (2022) - 2020
- [c17]Matthieu Coupet, Thierry Urruty
An Empirical Study of Deep Neural Networks for Glioma Detection from MRI Sequences. ICONIP (1) 2020: 113-125
2010 – 2019
- 2019
- [j2]Nont Kanungsukkasem
Financial Latent Dirichlet Allocation (FinLDA): Feature Extraction in Text and Data Mining for Financial Time Series Prediction. IEEE Access 7: 71645-71664 (2019) - [c16]Teerapong Leelanupab, Tiwipab Meephruek:
CodeBuddy (Collaborative Software Development Environment): In- and Out-Class Practice for Remote Pair-Programming with Monitoring Coding Students' Progress. SIGCSE 2019: 1290 - 2017
- [c15]Monticha Ketna, Teerapong Leelanupab:
Evaluating a thermal icon for the enhancement of mobile feedback perception in noisy and bumpy environments. WHC 2017: 418-423 - [c14]Teerapong Leelanupab, Orapin Anonthanasap:
Learning and immediate retention of Japanese vocabulary using generated mnemonic keywords. SNPD 2017: 315-320 - 2015
- [c13]Teerapong Leelanupab, Hannarin Kruajirayu, Nont Kanungsukkasem
Snapboard: A Shared Space of Visual Snippets - A Study in Individual and Asynchronous Collaborative Web Search. AIRS 2015: 161-173 - 2014
- [c12]Ake Tangsomboon, Teerapong Leelanupab:
Evaluating Diversity and Redundancy-Based Search Metrics Independently. ADCS 2014: 42 - 2013
- [j1]Guido Zuccon
Crowdsourcing interactions: using crowdsourcing for evaluating interactive information retrieval systems. Inf. Retr. 16(2): 267-305 (2013) - [c11]Teerapong Leelanupab, Guido Zuccon, Joemon M. Jose
Is Intent-Aware Expected Reciprocal Rank Sufficient to Evaluate Diversity? ECIR 2013: 738-742 - 2012
- [b1]Teerapong Leelanupab:
A ranking framework and evaluation for diversity-based retrieval. University of Glasgow, UK, 2012 - [c10]Jesus A. Rodriguez Perez, Teerapong Leelanupab, Joemon M. Jose
CoFox: A Synchronous Collaborative Browser. AIRS 2012: 262-274 - [c9]Teerapong Leelanupab, Guido Zuccon
A comprehensive analysis of parameter settings for novelty-biased cumulative gain. CIKM 2012: 1950-1954 - [c8]Stewart Whiting, Ke Zhou, Joemon M. Jose
CrowdTiles: presenting crowd-based information for event-driven information needs. CIKM 2012: 2698-2700 - 2011
- [c7]Teerapong Leelanupab, Guido Zuccon
A Query-Basis Approach to Parametrizing Novelty-Biased Cumulative Gain. ICTIR 2011: 327-331 - [c6]Stewart Whiting, Jesus A. Rodriguez Perez, Guido Zuccon, Teerapong Leelanupab, Joemon M. Jose:
University of Glasgow (qirdcsuog) at TREC Crowdsourcing 2011: TurkRank-Network-based Worker Ranking in Crowdsourcing. TREC 2011 - 2010
- [c5]Teerapong Leelanupab, Guido Zuccon
When Two Is Better Than One: A Study of Ranking Paradigms and Their Integrations for Subtopic Retrieval. AIRS 2010: 162-172 - [p1]Teerapong Leelanupab, Guido Zuccon
Revisiting Sub-topic Retrieval in the ImageCLEF 2009 Photo Retrieval Task. ImageCLEF 2010: 277-294
2000 – 2009
- 2009
- [c4]Teerapong Leelanupab, Guido Zuccon
University of Glasgow at ImageCLEFPhoto 2009: Optimising Similarity and Diversity in Image Retrieval. CLEF (2) 2009: 133-141 - [c3]Guido Zuccon, Teerapong Leelanupab, Anuj Goyal, Martin Halvey, P. Punitha, Joemon M. Jose:
The University of Glasgow at ImageCLEFPhoto 2009. CLEF (Working Notes) 2009 - [c2]Teerapong Leelanupab, Frank Hopfgartner, Joemon M. Jose:
User Centred Evaluation of A Recommendation Based Image Browsing System. IICAI 2009: 558-573 - [c1]Teerapong Leelanupab, Yue Feng, Vassilios Stathopoulos, Joemon M. Jose
A Simulated User Study of Image Browsing Using High-Level Classification. SAMT 2009: 3-15
Coauthor Index
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