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ORCIDPablo Loyola
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2020 – today
- 2025
[i7]Pablo Loyola, Kento Hasegawa, Andres Hoyos-Idobro, Kazuo Ono, Toyotaro Suzumura, Yu Hirate, Masanao Yamaoka:
Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization. CoRR abs/2501.05845 (2025)- 2023
- [c17]Pablo Loyola, Edison Marrese-Taylor, Andrés Hoyos Idrobo:
Perceptual Structure in the absence of grounding: the impact of abstractedness and subjectivity in color language for LLMs. EMNLP (Findings) 2023: 1536-1542 - [c16]Md. Mostafizur Rahman
, Daisuke Kikuta, Satyen Abrol, Yu Hirate, Toyotaro Suzumura, Pablo Loyola, Takuma Ebisu, Manoj Kondapaka:
Exploring 360-Degree View of Customers for Lookalike Modeling. SIGIR 2023: 3400-3404 - [i6]Md. Mostafizur Rahman, Daisuke Kikuta, Satyen Abrol, Yu Hirate, Toyotaro Suzumura, Pablo Loyola, Takuma Ebisu, Manoj Kondapaka:
Exploring 360-Degree View of Customers for Lookalike Modeling. CoRR abs/2304.09105 (2023) - [i5]Pablo Loyola, Edison Marrese-Taylor, Andres Hoyos-Idobro:
Perceptual Structure in the Absence of Grounding for LLMs: The Impact of Abstractedness and Subjectivity in Color Language. CoRR abs/2311.13105 (2023) - 2022
- [c15]Padmanabha Venkatagiri Seshadri, Harikrishnan Balagopal, Akash Nayak, Ashok Pon Kumar, Pablo Loyola:
Konveyor Move2Kube: A Framework For Automated Application Replatforming. CLOUD 2022: 115-124 - [i4]Daisuke Kikuta, Toyotaro Suzumura, Md. Mostafizur Rahman, Yu Hirate, Satyen Abrol, Manoj Kondapaka, Takuma Ebisu, Pablo Loyola:
KQGC: Knowledge Graph Embedding with Smoothing Effects of Graph Convolutions for Recommendation. CoRR abs/2205.12102 (2022) - 2021
- [c14]Padmanabha Venkatagiri Seshadri, Harikrishnan Balagopal, Pablo Loyola, Akash Nayak, Chander Govindarajan, Mudit Verma, Ashok Pon Kumar, Amith Singhee:
Konveyor Move2Kube: Automated Replatforming of Applications to Kubernetes. CLOUD 2021: 717-719 - 2020
- [c13]Pablo Loyola, Kugamoorthy Gajananan, Hirokuni Kitahara, Yuji Watanabe, Fumiko Satoh:
Automating Domain Squatting Detection Using Representation Learning. IEEE BigData 2020: 1021-1030 - [c12]Edison Marrese-Taylor, Pablo Loyola, Jorge A. Balazs, Yutaka Matsuo:
Learning to Describe Editing Activities in Collaborative Environments: A Case Study on GitHub and Wikipedia. PACLIC 2020: 188-198
2010 – 2019
- 2019
- [c11]Edison Marrese-Taylor, Pablo Loyola, Yutaka Matsuo:
An Edit-centric Approach for Wikipedia Article Quality Assessment. W-NUT@EMNLP 2019: 381-386 - [i3]Edison Marrese-Taylor, Pablo Loyola, Yutaka Matsuo:
An Edit-centric Approach for Wikipedia Article Quality Assessment. CoRR abs/1909.08880 (2019) - 2018
- [c10]Kugamoorthy Gajananan, Pablo Loyola, Yasuharu Katsuno, Asim Munawar, Scott Trent, Fumiko Satoh:
Modeling Sentiment Polarity in Support Ticket Data for Predicting Cloud Service Subscription Renewal. SCC 2018: 49-56 - [c9]Pablo Loyola, Kugamoorthy Gajananan, Fumiko Satoh:
Bug Localization by Learning to Rank and Represent Bug Inducing Changes. CIKM 2018: 657-665 - [c8]Pablo Loyola, Edison Marrese-Taylor, Jorge A. Balazs, Yutaka Matsuo, Fumiko Satoh:
Content Aware Source Code Change Description Generation. INLG 2018: 119-128 - [c7]Pablo Loyola, Kugamoorthy Gajananan, Yuji Watanabe, Fumiko Satoh:
Villani at SemEval-2018 Task 8: Semantic Extraction from Cybersecurity Reports using Representation Learning. SemEval@NAACL-HLT 2018: 885-889 - 2017
- [c6]Pablo Loyola, Edison Marrese-Taylor, Yutaka Matsuo:
A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes. ACL (2) 2017: 287-292 - [c5]Pablo Loyola, Yutaka Matsuo:
Learning graph representations for defect prediction. ICSE (Companion Volume) 2017: 265-267 - [c4]Pablo Loyola, Yutaka Matsuo:
Learning Feature Representations from Change Dependency Graphs for Defect Prediction. ISSRE 2017: 361-372 - [c3]Pablo Loyola, Chen Liu, Yu Hirate:
Modeling User Session and Intent with an Attention-based Encoder-Decoder Architecture. RecSys 2017: 147-151 - [c2]Jorge A. Balazs, Edison Marrese-Taylor, Pablo Loyola, Yutaka Matsuo:
Refining Raw Sentence Representations for Textual Entailment Recognition via Attention. RepEval@EMNLP 2017: 51-55 - [i2]Pablo Loyola, Edison Marrese-Taylor, Yutaka Matsuo:
A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes. CoRR abs/1704.04856 (2017) - [i1]Jorge A. Balazs, Edison Marrese-Taylor, Pablo Loyola, Yutaka Matsuo:
Refining Raw Sentence Representations for Textual Entailment Recognition via Attention. CoRR abs/1707.03103 (2017) - 2016
- [c1]Pablo Loyola, Francisco Szederkenyi, Yutaka Matsuo:
Using the web to support political analysis: identifying legislative bill ideology in the chilean parliament. WebSci 2016: 190-199
Coauthor Index
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