Takahiro Hara 研究室

主宰者：Takahiro Hara

大阪大学

AI 要約（直近 5 年の研究成果）

本研究室では、センサーやオンラインデータなどの大規模な情報から、人間の行動や社会的な選好を認識・予測する技術の開発に取り組んでいます。建物内の人数把握、工業現場での作業認識、オンラインサービスにおける利用者の嗜好把握など、多様な応用を視野に入れた研究を展開しています。主な研究の問いは、異なる環境や条件下でも機械学習モデルが汎用的に機能するにはどうすればよいか、また不完全で雑音を含むデータからいかに正確な情報を抽出するか、という点です。手法としては、深層学習やグラフ神経ネットワーク、自己教師あり学習など、最新の機械学習技術を活用しています。さらに実際の産業現場や医療分野での課題に対応するため、マルチモーダル（複数種類のセンサーやデータを組み合わせた）なアプローチを採用し、信頼性の高い学習フレームワークを構築しています。これらの研究を通じて、本研究室は環境変化への堅牢性を持つモデルの開発、ノイズ耐性の強化、そして人間の複雑な行動パターンの解釈といった課題の解決に向けた知見を積み重ねています。実世界のデータに基づいた検証を重視し、学術的な成果を実務的な応用へと結びつけることを目指しています。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

外部リンク

研究成果（86 件）

[2025] Fast Approximation Algorithm forEuclidean Minimum Spanning Tree Building inHigh Dimensions
[2025] Reduction of CO2 emissions by changing the storage temperature of frozen tuna products in tuna longline vessels and cold storage on land: Application of life cycle assessment
DOI: https://doi.org/10.2331/suisan.24-00013
[2025] Dynamic Peak-Aware Loss for Zero-Shot Occupancy Estimation
DOI: https://doi.org/10.1109/ictai66417.2025.00020
[2025] Multi-task multi-modal graph neural network for recommender system
DOI: https://doi.org/10.1007/s10115-025-02456-9
[2025] Multi-role social behavior modeling in content-free news recommendation
DOI: https://doi.org/10.1007/s11280-025-01345-z
[2025] A News Recommendation Framework Utilizing ChatGPT: Estimating Target Audience and News Categories
DOI: https://doi.org/10.1145/3672608.3707905
[2025] PolyCard: A learned cardinality estimator for intersection queries on spatial polygons
DOI: https://doi.org/10.1007/s10844-025-00921-z
[2025] Robust Spatio-Temporal Graph Convolutional Networks for Headcount Prediction
DOI: https://doi.org/10.1109/ictai66417.2025.00132
[2025] HGCL: A Hypergraph Contrastive Learning Framework with Graph Structure Learning for Recommendation
DOI: https://doi.org/10.2197/ipsjjip.33.1191
[2025] Disentangling Political Bias in Social Media Data Through Multitask Embedding Learning
DOI: https://doi.org/10.1109/tcss.2025.3576342

続きを表示（残り 76 件）

[2025] Modeling Social Behavior in Collaborative Filtering
DOI: https://doi.org/10.1145/3726302.3730039
[2024] Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations
DOI: https://doi.org/10.1145/3626772.3657780
[2024] OpenPack: A Large-Scale Dataset for Recognizing Packaging Works in IoT-Enabled Logistic Environments
DOI: https://doi.org/10.1109/percom59722.2024.10494448
[2024] Preliminary Investigation of SSL for Complex Work Activity Recognition in Industrial Domain via MoIL
DOI: https://doi.org/10.1109/percomworkshops59983.2024.10503195
[2024] AoA-net: Estimating Angle-of-arrival Using Wi-Fi Channel State Information Based on Deep Neural Networks with Subcarrier Selection
DOI: https://doi.org/10.2197/ipsjjip.32.863
[2024] Artifact: OpenPack: A Large-scale Dataset for Recognizing Packaging Works in Logistic Environments
DOI: https://doi.org/10.1109/percomworkshops59983.2024.10503342
[2024] INCL: A Graph-based Recommendation Model Using Contrastive Learning for Inductive Scenario
DOI: https://doi.org/10.2197/ipsjjip.32.929
[2024] An Efficient Framework forApproximate Nearest Neighbor Search onHigh-Dimensional Multi-metric Data
[2024] Multi-Modal Contrastive Learning for Medical Image Classification with Limited Training Data
DOI: https://doi.org/10.1109/icmla61862.2024.00164
[2024] Hypergraph Contrastive Learning with Graph Structure Learning for Recommendation
DOI: https://doi.org/10.1109/icmla61862.2024.00062
[2024] Self-Supervised Learning for Complex Activity Recognition Through Motif Identification Learning
DOI: https://doi.org/10.1109/tmc.2024.3514736
[2024] Word-Level Political Sentiments Inferred From Social Media and Application in Recommendation Diversification
DOI: https://doi.org/10.1145/3700643
[2024] Extracting Political Interest Model from Interaction Data Based on Novel Word-level Bias Assignment
DOI: https://doi.org/10.1145/3702649
[2024] Preliminary Investigation of Activity Prediction in Nursing Homes using Activity History with Erroneous Time Stamps
DOI: https://doi.org/10.1145/3675094.3678384
[2024] Brief Introduction of the OpenPack Dataset and Lessons Learned from Organizing Activity Recognition Challenge Using the Dataset
DOI: https://doi.org/10.1145/3675094.3677597
[2024] SAFE: Sampling-Assisted Fast Learned Cardinality Estimation forDynamic Spatial Data
[2023] Categorical Diversity-Aware Inner Product Search
DOI: https://doi.org/10.1109/access.2023.3234072
[2023] Meta-domain Adversarial Contrastive Learning for Alleviating Individual Bias in Self-sentiment Predictions
DOI: https://doi.org/10.21437/interspeech.2023-510
[2023] Lamps: Location-Aware Moving Top-k Pub/Sub (Extended abstract)
DOI: https://doi.org/10.1109/icde55515.2023.00331
[2023] A Graph-Based Recommendation Model Using Contrastive Learning for Inductive Scenario
DOI: https://doi.org/10.1109/icmla58977.2023.00032
[2023] Multi-Modal Relational Side Information Graph Attention Networks for Recommender System
DOI: https://doi.org/10.1109/icmla58977.2023.00150
[2023] Unvisited Out-Of-Town POI Recommendation with Simultaneous Learning of Multiple Regions
DOI: https://doi.org/10.1109/bigdata59044.2023.10386127
[2023] Joint knowledge graph approach for event participant prediction with social media retweeting
DOI: https://doi.org/10.1007/s10115-023-02015-0
[2023] Organized Event Participant Prediction Enhanced by Social Media Retweeting Data
DOI: https://doi.org/10.1109/wi-iat59888.2023.00038
[2023] Characterisation of starch properties and physical characteristics in buckwheat (<scp>Fagopyrum esculentum</scp> Moench.) mutant lacking accumulation of ‘granule‐bound starch synthase a’
DOI: https://doi.org/10.1111/pbr.13135
[2023] Simpler is Much Faster: Fair and Independent Inner Product Search
DOI: https://doi.org/10.1145/3539618.3592061
[2023] Fast Algorithm for Embedded Order Dependency Validation
DOI: https://doi.org/10.1145/3603719.3603720
[2023] Efficient Density-peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space
DOI: https://doi.org/10.1145/3607873
[2023] Effect of Foliar Phosphite Spraying on Yield in Common Buckwheat
DOI: https://doi.org/10.1626/jcs.92.245
[2023] POI Recommendation by Learning Short-, Long- and Mid-Term Preferences through GNN
DOI: https://doi.org/10.1109/mdm58254.2023.00014
[2023] Approximate Reverse Top-k Spatial-Keyword Queries
DOI: https://doi.org/10.1109/mdm58254.2023.00026
[2023] Biased or Debiased: Polarization-aware Embedding Learning from Social Media Knowledge Graph
DOI: https://doi.org/10.1109/ijcnn54540.2023.10191992
[2023] User-irrelevant Cross-domain Association Analysis for Cross-domain Recommendation with Transfer Learning
DOI: https://doi.org/10.1145/3592571.3592974
[2023] Semantic Relation Transfer forNon-overlapped Cross-domain Recommendations
[2023] Development of semidwarf breeding line with shattering resistance and preharvest‐sprouting resistant in buckwheat (<scp>Fagopyrum esculentum</scp>)
DOI: https://doi.org/10.1111/pbr.13101
[2023] Subsurface drainage and raised-bed planting reduce excess water stress and increase yield in common buckwheat (Fagopyrum esculentum Moench)
DOI: https://doi.org/10.1016/j.fcr.2023.108935
[2023] Reverse Maximum Inner Product Search: Formulation, Algorithms, and Analysis
DOI: https://doi.org/10.1145/3587215
[2023] An Effective and Efficient Self-Attention Based Model for Next POI Recommendation
DOI: https://doi.org/10.1109/percomworkshops56833.2023.10150227
[2023] Joint Estimation of the Distance and Relative Velocity of Obstacles via Smartphone Active Sound Sensing for Pedestrian Safety
DOI: https://doi.org/10.1109/percom56429.2023.10099353
[2023] Detecting Repetitive Human Actions by Neural Networks Trained on Composite Data Only
DOI: https://doi.org/10.1109/percomworkshops56833.2023.10150395
[2023] Evolving Social Media Background Representation with Frequency Weights and Co-Occurrence Graphs
DOI: https://doi.org/10.1145/3585389
[2022] Learned k-NN distance estimation
DOI: https://doi.org/10.1145/3557915.3560935
[2022] Solving Diversity-Aware Maximum Inner Product Search Efficiently and Effectively
DOI: https://doi.org/10.1145/3523227.3546779
[2022] Location Representations for Accelerating the Training of Next POI Recommender System
DOI: https://doi.org/10.1145/3544793.3560370
[2022] Predicting Performance Improvement of Human Activity Recognition Model by Additional Data Collection
DOI: https://doi.org/10.1145/3550319
[2022] HML4Rec: Hierarchical meta-learning for cold-start recommendation in flash sale e-commerce
DOI: https://doi.org/10.1016/j.knosys.2022.109674
[2022] Generalized durative event detection on social media
DOI: https://doi.org/10.1007/s10844-022-00730-8
[2022] Explainable Integration of Social Media Background in a Dynamic Neural Recommender
DOI: https://doi.org/10.1145/3550279
[2022] Few-Shot and Weakly Supervised Repetition Counting With Body-Worn Accelerometers
DOI: https://doi.org/10.3389/fcomp.2022.925108
[2022] Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations
DOI: https://doi.org/10.1109/bigdata55660.2022.10020565
[2022] Acceleration-based Activity Recognition of Repetitive Works with Lightweight Ordered-work Segmentation Network
DOI: https://doi.org/10.1145/3534572
[2022] Cross-Domain Event Participant Prediction with Public Event Description
DOI: https://doi.org/10.1109/iiaiaai55812.2022.00017
[2022] Fast, exact, and parallel-friendly outlier detection algorithms with proximity graph in metric spaces
DOI: https://doi.org/10.1007/s00778-022-00729-1
[2022] Efficient Retrieval of Top-k Weighted Triangles on Static and Dynamic Spatial Data
DOI: https://doi.org/10.1109/access.2022.3177620
[2022] Cardinality Estimation in Inner Product Space
DOI: https://doi.org/10.1109/ojcs.2022.3215206
[2022] Retrieving Top-N Weighted Spatial k-cliques
DOI: https://doi.org/10.1109/bigdata55660.2022.10021071
[2021] Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach
[2021] Fast and Exact Outlier Detection in Metric Spaces
DOI: https://doi.org/10.1145/3448016.3452782
[2021] Fast Density-Peaks Clustering
DOI: https://doi.org/10.1145/3448016.3452781
[2021] Development of self‐pollinating breeding line with closed‐flowering traits in buckwheat (Fagopyrum esculentum)
DOI: https://doi.org/10.1111/pbr.12933
[2021] NaviMine: A tool for mining trajectories through behavior prediction
DOI: https://doi.org/10.1109/percomworkshops51409.2021.9431118
[2021] Automatic identification of differences in behavioral co-occurrence between groups
DOI: https://doi.org/10.1186/s40317-021-00242-2
[2021] Predicting Next-use Mobile Apps Using App Semantic Representations
DOI: https://doi.org/10.2197/ipsjjip.29.597
[2021] Feat-SKSJ
DOI: https://doi.org/10.1145/3474717.3483629
[2021] Predicting temporary deal success with social media timing signals
DOI: https://doi.org/10.1007/s10844-021-00681-6
[2021] Approximate Top-k Inner Product Join with a Proximity Graph
DOI: https://doi.org/10.1109/bigdata52589.2021.9671858
[2021] Measuring fault tolerance in IoT mesh networks using Voronoi diagram
DOI: https://doi.org/10.1016/j.jnca.2021.103297
[2021] Cross-species behavior analysis with attention-based domain-adversarial deep neural networks
DOI: https://doi.org/10.1038/s41467-021-25636-x
[2021] Reverse Maximum Inner Product Search: How to efficiently find users who would like to buy my item?
DOI: https://doi.org/10.1145/3460231.3474229
[2021] IndoLabel: Predicting Indoor Location Class by Discovering Location-Specific Sensor Data Motifs
DOI: https://doi.org/10.1109/jsen.2021.3102916
[2021] WeakCounter: Acceleration-based Repetition Counting of Actions with Weakly Supervised Learning
DOI: https://doi.org/10.1145/3460421.3480431
[2021] Toward Understanding Acceleration-based Activity Recognition Neural Networks with Activation Maximization
DOI: https://doi.org/10.1109/ijcnn52387.2021.9533888
[2021] Using Social Media Background to Improve Cold-Start Recommendation Deep Models
DOI: https://doi.org/10.1109/ijcnn52387.2021.9534327
[2021] Differences in the Sterility of Japanese Rice Varieties under Short-day Conditions and Seasonal Changes
DOI: https://doi.org/10.1626/jcs.90.317
[2021] Predicting E-commerce Item Sales With Web Environment Temporal Background
DOI: https://doi.org/10.52825/bis.v1i.37
[2021] Traits of a self‐pollinating and preharvest‐sprouting‐resistant line of summer buckwheat (Fagopyrum esculentum)
DOI: https://doi.org/10.1111/pbr.12947

科研費（0 件）

まだデータがありません（KAKEN 取り込み後に表示）。

所属学会・役職（0 件）

まだデータがありません（学会データ連携後に表示）。

AI 要約（直近 5 年の研究成果）

外部リンク

関連研究室(8 件)

研究成果（86 件）

科研費（0 件）

所属学会・役職（0 件）