Extraction of Places Related to Flickr Tags. - Yukino Baba; Fuyuki Ishikawa; Shinichi Honiden (ECAI, 2010)

How Are Spelling Errors Generated and Corrected? A Study of Corrected and Uncorrected Spelling Errors Using Keystroke Logs. - Yukino Baba; Hisami Suzuki (ACL (2), 2012)

Crowdsourcing Quality Control for Item Ordering Tasks. - Toshiko Matsui; Yukino Baba; Toshihiro Kamishima; Hisashi Kashima (HCOMP (Works in Progress / Demos), 2013)

EM-Based Inference of True Labels Using Confidence Judgments. - Satoshi Oyama; Yukino Baba; Yuko Sakurai; Hisashi Kashima (HCOMP (Works in Progress / Demos), 2013)

Leveraging Crowdsourcing to Detect Improper Tasks in Crowdsourcing Marketplaces. - Yukino Baba; Hisashi Kashima; Kei Kinoshita; Goushi Yamaguchi; Yosuke Akiyoshi (IAAI, 2013)

Accurate Integration of Crowdsourced Labels Using Workers' Self-reported Confidence Scores. - Satoshi Oyama; Yukino Baba; Yuko Sakurai; Hisashi Kashima (IJCAI, 2013)

Statistical quality estimation for general crowdsourcing tasks. - Yukino Baba; Hisashi Kashima (KDD, 2013)

Skill Ontology-Based Model for Quality Assurance in Crowdsourcing. - Kinda El Maarry; Wolf-Tilo Balke; Hyunsouk Cho; Seung-won Hwang; Yukino Baba (DASFAA Workshops, 2014)

Crowdsourced data analytics: A case study of a predictive modeling competition. - Yukino Baba; Nozomi Nori; Shigeru Saito; Hisashi Kashima (DSAA, 2014)

Quality Control for Crowdsourced Enumeration Tasks. - Shunsuke Kajimura; Yukino Baba; Hiroshi Kajino; Hisashi Kashima (HCOMP, 2014)

Instance-Privacy Preserving Crowdsourcing. - Hiroshi Kajino; Yukino Baba; Hisashi Kashima (HCOMP, 2014)

Crowdordering. - Toshiko Matsui; Yukino Baba; Toshihiro Kamishima; Hisashi Kashima (PAKDD (2), 2014)

Leveraging non-expert crowdsourcing workers for improper task detection in crowdsourcing marketplaces. - Yukino Baba; Hisashi Kashima; Kei Kinoshita; Goushi Yamaguchi; Yosuke Akiyoshi (Expert Syst. Appl., 2014)

From one star to three stars: Upgrading legacy open data using crowdsourcing. - Satoshi Oyama; Yukino Baba; Ikki Ohmukai; Hiroaki Dokoshi; Hisashi Kashima (DSAA, 2015)

Quality Control for Crowdsourced Hierarchical Classification. - Naoki Otani; Yukino Baba; Hisashi Kashima (ICDM, 2015)

Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries. - Yukino Baba; Hisashi Kashima; Yasunobu Nohara; Eiko Kai; Partha Pratim Ghosh; Rafiqul Islam Maruf; Ashir Ahmed; Masahiro Kuroda; Sozo Inoue; Tatsuo Hiramatsu; Michio Kimura; Shuji Shimizu; et al. (KDD, 2015)

Quality Control for Crowdsourced POI Collection. - Shunsuke Kajimura; Yukino Baba; Hiroshi Kajino; Hisashi Kashima (PAKDD (2), 2015)

Learning to Enumerate. - Patrick Jörger; Yukino Baba; Hisashi Kashima (ICANN (1), 2016)

Assessing Translation Ability through Vocabulary Ability Assessment. - Yo Ehara; Yukino Baba; Masao Utiyama; Eiichiro Sumita (IJCAI, 2016)

Participation recommendation system for crowdsourcing contests. - Yukino Baba; Kei Kinoshita; Hisashi Kashima (Expert Syst. Appl., 2016)

Quality control of crowdsourced classification using hierarchical class structures. - Naoki Otani; Yukino Baba; Hisashi Kashima (Expert Syst. Appl., 2016)

Crowdsourcing chart digitizer: task design and quality control for making legacy open data machine-readable. - Satoshi Oyama; Yukino Baba; Ikki Ohmukai; Hiroaki Dokoshi; Hisashi Kashima (Int. J. Data Sci. Anal., 2016)

Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines. - Yuji Horiguchi; Yukino Baba; Hisashi Kashima; Masahito Suzuki; Hiroki Kayahara; Jun Maeno (AAAI, 2017)

Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process. - Takeru Sunahase; Yukino Baba; Hisashi Kashima (AAAI, 2017)

Hyper Questions: Unsupervised Targeting of a Few Experts in Crowdsourcing. - Jiyi Li; Yukino Baba; Hisashi Kashima (CIKM, 2017)

Atomic Distance Kernel for Material Property Prediction. - Hirotaka Akita; Yukino Baba; Hisashi Kashima; Atsuto Seko (ICONIP (1), 2017)

Quality Control for Crowdsourced Multi-label Classification Using RAkEL. - Kosuke Yoshimura; Yukino Baba; Hisashi Kashima (ICONIP (1), 2017)

A Generalized Model for Multidimensional Intransitivity. - Jiuding Duan; Jiyi Li; Yukino Baba; Hisashi Kashima (PAKDD (2), 2017)

Distributed Multi-task Learning for Sensor Network. - Jiyi Li; Tomohiro Arai; Yukino Baba; Hisashi Kashima; Shotaro Miwa (ECML/PKDD (2), 2017)

Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges. - Yukino Baba; Tomoumi Takase; Kyohei Atarashi; Satoshi Oyama; Hisashi Kashima (AAAI, 2018)

Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests. - Junpei Naito; Yukino Baba; Hisashi Kashima; Takenori Takaki; Takuya Funo (AAAI, 2018)

AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling. - Ryusuke Takahama; Yukino Baba; Nobuyuki Shimizu; Sumio Fujita; Hisashi Kashima (AAAI, 2018)

Incorporating Worker Similarity for Label Aggregation in Crowdsourcing. - Jiyi Li; Yukino Baba; Hisashi Kashima (ICANN (2), 2018)

BayesGrad: Explaining Predictions of Graph Convolutional Networks. - Hirotaka Akita; Kosuke Nakago; Tomoki Komatsu; Yohei Sugawara; Shin-ichi Maeda; Yukino Baba; Hisashi Kashima (ICONIP (5), 2018)

Statistical Quality Control for Human Computation and Crowdsourcing. - Yukino Baba (IJCAI, 2018)

Simultaneous Clustering and Ranking from Pairwise Comparisons. - Jiyi Li; Yukino Baba; Hisashi Kashima (IJCAI, 2018)

Payload-Based Statistical Intrusion Detection for In-Vehicle Networks. - Takuya Kuwahara; Yukino Baba; Hisashi Kashima; Takeshi Kishikawa; Jun'ichi Tsurumi; Tomoyuki Haga; Yoshihiro Ujiie; Takamitsu Sasaki; Hideki Matsushima (PAKDD (Workshops), 2018)

Dual Convolutional Neural Network for Graph of Graphs Link Prediction. - Shonosuke Harada; Hirotaka Akita; Masashi Tsubaki; Yukino Baba; Ichigaku Takigawa; Yoshihiro Yamanishi; Hisashi Kashima (CoRR, 2018)

Supervised and Unsupervised Intrusion Detection Based on CAN Message Frequencies for In-vehicle Network. - Takuya Kuwahara; Yukino Baba; Hisashi Kashima; Takeshi Kishikawa; Jun'ichi Tsurumi; Tomoyuki Haga; Yoshihiro Ujiie; Takamitsu Sasaki; Hideki Matsushima (J. Inf. Process., 2018)

Active Learning Strategies for Hierarchical Labeling Microtasks. - Kousuke Uo; Masaki Kobayashi; Masaki Matsubara; Yukino Baba; Atsuyuki Morishima (IEEE BigData, 2019)

Probabilistic Modeling of Peer Correction and Peer Assessment. - Takeru Sunahase; Yukino Baba; Hisashi Kashima (EDM, 2019)

Interdependence Model for Multi-label Classification. - Kosuke Yoshimura; Tomoaki Iwase; Yukino Baba; Hisashi Kashima (ICANN (4), 2019)

Crownn: Human-in-the-loop Network with Crowd-generated Inputs. - Yusuke Sakata; Yukino Baba; Hisashi Kashima (ICASSP, 2019)

Large-scale Driver Identification Using Automobile Driving Data. - Daiki Tanaka; Yukino Baba; Hisashi Kashima; Yuta Okubo (SMC, 2019)

Stress Prediction from Head Motion. - Hitoshi Kusano; Yuji Horiguchi; Yukino Baba; Hisashi Kashima (DSAA, 2020)

CrowDEA: Multi-View Idea Prioritization with Crowds. - Yukino Baba; Jiyi Li; Hisashi Kashima (HCOMP, 2020)

Humangan: Generative Adversarial Network With Human-Based Discriminator And Its Evaluation In Speech Perception Modeling. - Kazuki Fujii; Yuki Saito 001; Shinnosuke Takamichi; Yukino Baba; Hiroshi Saruwatari (ICASSP, 2020)

Performance as a Constraint: An Improved Wisdom of Crowds Using Performance Regularization. - Jiyi Li; Yasushi Kawase; Yukino Baba; Hisashi Kashima (IJCAI, 2020)

Iterative Machine Teaching without Teachers. - Mingzhe Yang; Yukino Baba (CoRR, 2020)

Synthetic accessibility assessment using auxiliary responses. - Shun Ito; Yukino Baba; Tetsu Isomura; Hisashi Kashima (Expert Syst. Appl., 2020)

Dual graph convolutional neural network for predicting chemical networks. - Shonosuke Harada; Hirotaka Akita; Masashi Tsubaki; Yukino Baba; Ichigaku Takigawa; Yoshihiro Yamanishi; Hisashi Kashima (BMC Bioinform., 2020)

Preliminary Experiments to Examine the Stability of Bias-Aware Techniques. - Toshihiro Kamishima; Shotaro Akaho; Yukino Baba; Hisashi Kashima (BIAS, 2021)

A practical and universal framework for generating publicly available medical notes of authentic quality via the power of crowds. - Rina Kagawa; Yukino Baba; Hideo Tsurushima (IEEE BigData, 2021)

Co-Teaching Student-Model through Submission Results of Shared Task. - Kouta Nakayama; Shuhei Kurita; Akio Kobayashi; Yukino Baba; Satoshi Sekine (EMNLP (Findings), 2021)

Humanacgan: Conditional Generative Adversarial Network with Human-Based Auxiliary Classifier and its Evaluation in Phoneme Perception. - Yota Ueda; Kazuki Fujii; Yuki Saito 001; Shinnosuke Takamichi; Yukino Baba; Hiroshi Saruwatari (ICASSP, 2021)

Maximal Likelihood Itinerary Planning with User Interaction Data. - Keisuke Otaki; Yukino Baba (RecTour@RecSys, 2022)

Extended Travel Itinerary Datasets Towards Reproducibility. - Keisuke Otaki; Yukino Baba (RecTour@RecSys, 2023)

Fair Machine Guidance to Enhance Fair Decision Making in Biased People. - Mingzhe Yang; Hiromi Arai; Naomi Yamashita; Yukino Baba (CHI, 2024)

An Experimental Framework for Designing Document Structure for Users' Decision Making: An Empirical Study of Recipes. - Rina Kagawa; Masaki Matsubara; Rei Miyata; Takuya Matsuzaki; Yukino Baba; Yoko Yamakata (ICADL (1), 2024)

SwipeGANSpace: Swipe-to-Compare Image Generation via Efficient Latent Space Exploration. - Yuto Nakashima 002; Mingzhe Yang; Yukino Baba (IUI, 2024)

Toward Tone-Aware Explanations in Recommender Systems. - Ayano Okoso; Keisuke Otaki; Satoshi Koide; Yukino Baba (UMAP, 2024)

Do Expressions Change Decisions? Exploring the Impact of AI's Explanation Tone on Decision-Making. - Ayano Okoso; Mingzhe Yang; Yukino Baba (CHI, 2025)

Travel itinerary recommendation using interaction-based augmented data. - Keisuke Otaki; Yukino Baba (Expert Syst. Appl., 2025)

Self Iterative Label Refinement via Robust Unlabeled Learning. - Hikaru Asano; Tadashi Kozuno; Yukino Baba (CoRR, 2025)

Impact of Tone-Aware Explanations in Recommender Systems. - Ayano Okoso; Keisuke Otaki; Satoshi Koide; Yukino Baba (Trans. Recomm. Syst., 2025)