Using the web to support political analysis: identifying legislative bill ideology in the chilean parliament. - Pablo Loyola; Francisco Szederkenyi; Yutaka Matsuo (WebSci, 2016)

A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes. - Pablo Loyola; Edison Marrese-Taylor; Yutaka Matsuo (ACL (2), 2017)

Learning graph representations for defect prediction. - Pablo Loyola; Yutaka Matsuo (ICSE (Companion Volume), 2017)

Learning Feature Representations from Change Dependency Graphs for Defect Prediction. - Pablo Loyola; Yutaka Matsuo (ISSRE, 2017)

Modeling User Session and Intent with an Attention-based Encoder-Decoder Architecture. - Pablo Loyola; Chen Liu; Yu Hirate (RecSys, 2017)

Refining Raw Sentence Representations for Textual Entailment Recognition via Attention. - Jorge A. Balazs; Edison Marrese-Taylor; Pablo Loyola; Yutaka Matsuo (RepEval@EMNLP, 2017)

Modeling Sentiment Polarity in Support Ticket Data for Predicting Cloud Service Subscription Renewal. - Kugamoorthy Gajananan; Pablo Loyola; Yasuharu Katsuno; Asim Munawar; Scott Trent; Fumiko Satoh (SCC, 2018)

Bug Localization by Learning to Rank and Represent Bug Inducing Changes. - Pablo Loyola; Kugamoorthy Gajananan; Fumiko Satoh (CIKM, 2018)

Content Aware Source Code Change Description Generation. - Pablo Loyola; Edison Marrese-Taylor; Jorge A. Balazs; Yutaka Matsuo; Fumiko Satoh (INLG, 2018)

Villani at SemEval-2018 Task 8: Semantic Extraction from Cybersecurity Reports using Representation Learning. - Pablo Loyola; Kugamoorthy Gajananan; Yuji Watanabe; Fumiko Satoh (SemEval@NAACL-HLT, 2018)

An Edit-centric Approach for Wikipedia Article Quality Assessment. - Edison Marrese-Taylor; Pablo Loyola; Yutaka Matsuo (W-NUT@EMNLP, 2019)

Automating Domain Squatting Detection Using Representation Learning. - Pablo Loyola; Kugamoorthy Gajananan; Hirokuni Kitahara; Yuji Watanabe; Fumiko Satoh (IEEE BigData, 2020)

Learning to Describe Editing Activities in Collaborative Environments: A Case Study on GitHub and Wikipedia. - Edison Marrese-Taylor; Pablo Loyola; Jorge A. Balazs; Yutaka Matsuo (PACLIC, 2020)

Konveyor Move2Kube: Automated Replatforming of Applications to Kubernetes. - Padmanabha Venkatagiri Seshadri; Harikrishnan Balagopal; Pablo Loyola; Akash Nayak; Chander Govindarajan; Mudit Verma; Ashok Pon Kumar; Amith Singhee (CLOUD, 2021)

Konveyor Move2Kube: A Framework For Automated Application Replatforming. - Padmanabha Venkatagiri Seshadri; Harikrishnan Balagopal; Akash Nayak; Ashok Pon Kumar; Pablo Loyola (CLOUD, 2022)

KQGC: Knowledge Graph Embedding with Smoothing Effects of Graph Convolutions for Recommendation. - Daisuke Kikuta; Toyotaro Suzumura; Md. Mostafizur Rahman; Yu Hirate; Satyen Abrol; Manoj Kondapaka; Takuma Ebisu; Pablo Loyola (CoRR, 2022)

Perceptual Structure in the absence of grounding: the impact of abstractedness and subjectivity in color language for LLMs. - Pablo Loyola; Edison Marrese-Taylor; Andrés Hoyos Idrobo (EMNLP (Findings), 2023)

Exploring 360-Degree View of Customers for Lookalike Modeling. - Md. Mostafizur Rahman; Daisuke Kikuta; Satyen Abrol; Yu Hirate; Toyotaro Suzumura; Pablo Loyola; Takuma Ebisu; Manoj Kondapaka (SIGIR, 2023)

Perceptual Structure in the Absence of Grounding for LLMs: The Impact of Abstractedness and Subjectivity in Color Language. - Pablo Loyola; Edison Marrese-Taylor; Andres Hoyos-Idobro (CoRR, 2023)

Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization. - Pablo Loyola; Kento Hasegawa; Andres Hoyos-Idobro; Kazuo Ono; Toyotaro Suzumura; Yu Hirate; Masanao Yamaoka (CoRR, 2025)