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Takahiro Hara
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2020 – today
- 2024
- [j135]Teerawat Kumrai, Zesheng Cai, Takuya Maekawa, Takahiro Hara, Kazuya Ohara, Tomoki Murakami, Hirantha Abeysekera:
AoA-net: Estimating Angle-of-arrival Using Wi-Fi Channel State Information Based on Deep Neural Networks with Subcarrier Selection. J. Inf. Process. 32: 863-872 (2024) - [j134]Yihong Zhang, Takahiro Hara:
Joint knowledge graph approach for event participant prediction with social media retweeting. Knowl. Inf. Syst. 66(3): 2115-2133 (2024) - [j133]Daichi Amagata, Takahiro Hara:
Efficient Density-peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space. ACM Trans. Knowl. Discov. Data 18(1): 2:1-2:27 (2024) - [c319]Ryo Shirai, Ryo Imai, Seng Pei Liew, Daichi Amagata, Tsubasa Takahashi, Takahiro Hara:
Estimating Visited Stores Through Positive-Unlabeled Learning. DASFAA (7) 2024: 377-389 - [c318]Daichi Amagata, Junya Yamada, Yuchen Ji, Takahiro Hara:
Efficient Algorithms for Top-k Stabbing Queries on Weighted Interval Data. DEXA (1) 2024: 146-152 - [c317]Yuchen Ji, Daichi Amagata, Yuya Sasaki, Takahiro Hara:
SAFE: Sampling-Assisted Fast Learned Cardinality Estimation for Dynamic Spatial Data. DEXA (2) 2024: 201-216 - [c316]Naoya Yoshimura, Jaime Morales, Takuya Maekawa, Takahiro Hara:
Artifact: OpenPack: A Large-scale Dataset for Recognizing Packaging Works in Logistic Environments. PerCom Workshops 2024: 1-2 - [c315]Naoya Yoshimura, Jaime Morales, Takuya Maekawa, Takahiro Hara:
OpenPack: A Large-Scale Dataset for Recognizing Packaging Works in IoT-Enabled Logistic Environments. PerCom 2024: 90-97 - [c314]Qingxin Xia, Takuya Maekawa, Jaime Morales, Takahiro Hara, Hirotomo Oshima, Masamitsu Fukuda, Yasuo Namioka:
Preliminary Investigation of SSL for Complex Work Activity Recognition in Industrial Domain via MoIL. PerCom Workshops 2024: 465-468 - [c313]Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa:
Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations. SIGIR 2024: 2124-2133 - [c312]Reon Uemura, Daichi Amagata, Takahiro Hara:
An Efficient Framework for Approximate Nearest Neighbor Search on High-Dimensional Multi-metric Data. SISAP 2024: 3-17 - [i16]Qingxin Xia, Takuya Maekawa, Jaime Morales, Takahiro Hara, Hirotomo Oshima, Masamitsu Fukuda, Yasuo Namioka:
Preliminary Investigation of SSL for Complex Work Activity Recognition in Industrial Domain via MoIL. CoRR abs/2404.13581 (2024) - [i15]Daichi Amagata, Junya Yamada, Yuchen Ji, Takahiro Hara:
Efficient Algorithms for Top-k Stabbing Queries on Weighted Interval Data (Full Version). CoRR abs/2405.05601 (2024) - 2023
- [j132]Kohei Hirata, Daichi Amagata, Sumio Fujita, Takahiro Hara:
Categorical Diversity-Aware Inner Product Search. IEEE Access 11: 2586-2596 (2023) - [j131]Yihong Zhang, Masumi Shirakawa, Takahiro Hara:
Generalized durative event detection on social media. J. Intell. Inf. Syst. 60(1): 73-95 (2023) - [j130]Yihong Zhang, Takahiro Hara:
Explainable Integration of Social Media Background in a Dynamic Neural Recommender. ACM Trans. Knowl. Discov. Data 17(3): 40:1-40:14 (2023) - [j129]Yihong Zhang, Xiu Susie Fang, Takahiro Hara:
Evolving Social Media Background Representation with Frequency Weights and Co-Occurrence Graphs. ACM Trans. Knowl. Discov. Data 17(7): 95:1-95:17 (2023) - [j128]Daichi Amagata, Takahiro Hara:
Reverse Maximum Inner Product Search: Formulation, Algorithms, and Analysis. ACM Trans. Web 17(4): 26:1-26:23 (2023) - [c311]Rikuto Tsubouchi, Takahiro Hara, Kei Yonekawa, Shuichiro Haruta:
Unvisited Out-Of-Town POI Recommendation with Simultaneous Learning of Multiple Regions. IEEE Big Data 2023: 915-924 - [c310]Yihong Zhang, Xiu Susie Fang, Takahiro Hara:
Real-time Integration of Social Media Background in Dynamic Recommendation Systems. eCom@SIGIR 2023 - [c309]Hao Niu, Duc V. Nguyen, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
User-irrelevant Cross-domain Association Analysis for Cross-domain Recommendation with Transfer Learning. ICDAR@ICMR 2023: 37-45 - [c308]Shunya Nishio, Daichi Amagata, Takahiro Hara:
Lamps: Location-Aware Moving Top-k Pub/Sub (Extended abstract). ICDE 2023: 3809-3810 - [c307]Yuma Dose, Shuichiro Haruta, Takahiro Hara:
A Graph-Based Recommendation Model Using Contrastive Learning for Inductive Scenario. ICMLA 2023: 174-181 - [c306]Shengzhe Jiao, Yihong Zhang, Takahiro Hara:
Multi-Modal Relational Side Information Graph Attention Networks for Recommender System. ICMLA 2023: 1012-1017 - [c305]Yihong Zhang, Takahiro Hara, Lina Yao:
Biased or Debiased: Polarization-aware Embedding Learning from Social Media Knowledge Graph. IJCNN 2023: 1-8 - [c304]Zhi Li, Ryu Takeda, Takahiro Hara:
Meta-domain Adversarial Contrastive Learning for Alleviating Individual Bias in Self-sentiment Predictions. INTERSPEECH 2023: 2428-2432 - [c303]Yue Zhao, Yihong Zhang, Daichi Amagata, Takahiro Hara:
POI Recommendation by Learning Short-, Long- and Mid-Term Preferences through GNN. MDM 2023: 1-10 - [c302]Shunya Nishio, Daichi Amagata, Takahiro Hara:
Approximate Reverse Top-k Spatial-Keyword Queries. MDM 2023: 96-105 - [c301]Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa:
Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations. PAKDD (3) 2023: 271-283 - [c300]Thilina Dissanayake, Takuya Maekawa, Takahiro Hara:
Joint Estimation of the Distance and Relative Velocity of Obstacles via Smartphone Active Sound Sensing for Pedestrian Safety. PERCOM 2023: 32-42 - [c299]Yuuki Nishino, Takuya Maekawa, Takahiro Hara:
Detecting Repetitive Human Actions by Neural Networks Trained on Composite Data Only. PerCom Workshops 2023: 188-193 - [c298]Qingxin Xia, Takahiro Hara, Takuya Maekawa, Mori Kurokawa, Kei Yonekawa:
An Effective and Efficient Self-Attention Based Model for Next POI Recommendation. PerCom Workshops 2023: 478-483 - [c297]Kazuyoshi Aoyama, Daichi Amagata, Sumio Fujita, Takahiro Hara:
Simpler is Much Faster: Fair and Independent Inner Product Search. SIGIR 2023: 2379-2383 - [c296]Daichi Amagata, Alejandro Ramos, Ryo Shirai, Takahiro Hara:
Fast Algorithm for Embedded Order Dependency Validation. SSDBM 2023: 17:1-17:4 - [c295]Yihong Zhang, Takahiro Hara:
Organized Event Participant Prediction Enhanced by Social Media Retweeting Data. WI/IAT 2023: 243-248 - [i14]Qingxin Xia, Takuya Maekawa, Takahiro Hara:
Unsupervised Human Activity Recognition through Two-stage Prompting with ChatGPT. CoRR abs/2306.02140 (2023) - [i13]Yihong Zhang, Takahiro Hara:
Organized Event Participant Prediction Enhanced by Social Media Retweeting Data. CoRR abs/2310.00896 (2023) - [i12]Alejandro Ramos, Takuya Uemura, Daichi Amagata, Ryo Shirai, Takahiro Hara:
Fast Algorithm for Embedded Order Dependency Validation (Extended Version). CoRR abs/2312.16033 (2023) - 2022
- [j127]Ryosuke Taniguchi, Daichi Amagata, Takahiro Hara:
Efficient Retrieval of Top-k Weighted Triangles on Static and Dynamic Spatial Data. IEEE Access 10: 55298-55307 (2022) - [j126]Yihong Zhang, Masumi Shirakawa, Yuanyuan Wang, Zhi Li, Takahiro Hara:
Twitter-aided decision making: a review of recent developments. Appl. Intell. 52(12): 13839-13854 (2022) - [j125]Yuuki Nishino, Takuya Maekawa, Takahiro Hara:
Few-Shot and Weakly Supervised Repetition Counting With Body-Worn Accelerometers. Frontiers Comput. Sci. 4 (2022) - [j124]Naoya Yoshimura, Takuya Maekawa, Takahiro Hara, Atsushi Wada:
Acceleration-based Activity Recognition of Repetitive Works with Lightweight Ordered-work Segmentation Network. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(2): 86:1-86:39 (2022) - [j123]Kei Tanigaki, Tze Chuin Teoh, Naoya Yoshimura, Takuya Maekawa, Takahiro Hara:
Predicting Performance Improvement of Human Activity Recognition Model by Additional Data Collection. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 142:1-142:33 (2022) - [j122]Yihong Zhang, Masumi Shirakawa, Takahiro Hara:
Predicting temporary deal success with social media timing signals. J. Intell. Inf. Syst. 59(1): 1-19 (2022) - [j121]Kiki Adhinugraha, Wenny Rahayu, Takahiro Hara, David Taniar:
Measuring fault tolerance in IoT mesh networks using Voronoi diagram. J. Netw. Comput. Appl. 199: 103297 (2022) - [j120]Zhi Li, Daichi Amagata, Yihong Zhang, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Mori Kurokawa:
HML4Rec: Hierarchical meta-learning for cold-start recommendation in flash sale e-commerce. Knowl. Based Syst. 255: 109674 (2022) - [j119]Kohei Hirata, Daichi Amagata, Takahiro Hara:
Cardinality Estimation in Inner Product Space. IEEE Open J. Comput. Soc. 3: 208-216 (2022) - [j118]Tomoki Yoshihisa, Takahiro Hara:
A Low-Load Distributed Stream Processing System for Continuous Conjunctive Normal Form Queries. IEEE Trans. Cloud Comput. 10(4): 2281-2293 (2022) - [j117]Shunya Nishio, Daichi Amagata, Takahiro Hara:
Lamps: Location-Aware Moving Top-k Pub/Sub. IEEE Trans. Knowl. Data Eng. 34(1): 352-364 (2022) - [j116]Daichi Amagata, Makoto Onizuka, Takahiro Hara:
Fast, exact, and parallel-friendly outlier detection algorithms with proximity graph in metric spaces. VLDB J. 31(4): 797-821 (2022) - [c294]Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa:
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations. IEEE Big Data 2022: 762-769 - [c293]Ryosuke Taniguchi, Daichi Amagata, Takahiro Hara:
Retrieving Top-N Weighted Spatial k-cliques. IEEE Big Data 2022: 4952-4961 - [c292]Ryosuke Taniguchi, Daichi Amagata, Takahiro Hara:
Efficient Retrieval of Top-k Weighted Spatial Triangles. DASFAA (1) 2022: 224-231 - [c291]Yuchen Ji, Daichi Amagata, Yuya Sasaki, Takahiro Hara:
A Performance Study of One-dimensional Learned Cardinality Estimation. DOLAP 2022: 86-90 - [c290]Daichi Amagata, Yusuke Arai, Sumio Fujita, Takahiro Hara:
Learned k-NN distance estimation. SIGSPATIAL/GIS 2022: 1:1-1:4 - [c289]Qingxin Xia, Takahiro Hara, Takuya Maekawa:
Location Representations for Accelerating the Training of Next POI Recommender System. UbiComp/ISWC Adjunct 2022: 133-135 - [c288]Yihong Zhang, Masumi Shirakawa, Takahiro Hara:
Cross-Domain Event Participant Prediction with Public Event Description. IIAI-AAI 2022: 33-38 - [c287]Kohei Hirata, Daichi Amagata, Sumio Fujita, Takahiro Hara:
Solving Diversity-Aware Maximum Inner Product Search Efficiently and Effectively. RecSys 2022: 198-207 - [c286]Yihong Zhang, Takahiro Hara:
Utilizing Social Media Retweeting for Improving Event Participant Prediction. WISE 2022: 3-10 - [e13]Takahiro Hara, Hirozumi Yamaguchi:
Mobile and Ubiquitous Systems: Computing, Networking and Services - 18th EAI International Conference, MobiQuitous 2021, Virtual Event, November 8-11, 2021, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 419, Springer 2022, ISBN 978-3-030-94821-4 [contents] - [i11]Daichi Amagata, Takahiro Hara:
Fast Density-Peaks Clustering: Multicore-based Parallelization Approach. CoRR abs/2207.04649 (2022) - [i10]Daichi Amagata, Yusuke Arai, Sumio Fujita, Takahiro Hara:
Learned k-NN Distance Estimation. CoRR abs/2208.14210 (2022) - [i9]Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa:
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations. CoRR abs/2211.03390 (2022) - [i8]Naoya Yoshimura, Jaime Morales, Takuya Maekawa, Takahiro Hara:
OpenPack: A Large-scale Dataset for Recognizing Packaging Works in IoT-enabled Logistic Environments. CoRR abs/2212.11152 (2022) - 2021
- [j115]Kiki Adhinugraha, Wenny Rahayu, Takahiro Hara, David Taniar:
Dealing with noise in crowdsourced GPS human trajectory logging data. Concurr. Comput. Pract. Exp. 33(19) (2021) - [j114]Cheng Chen, Takuya Maekawa, Daichi Amagata, Takahiro Hara:
Predicting Next-use Mobile Apps Using App Semantic Representations. J. Inf. Process. 29: 597-609 (2021) - [j113]Zhangbing Zhou, Takahiro Hara, Deze Zeng, Yu Zhang, Chunsheng Zhu:
Editorial: Collaborative Next Generation Networking. Mob. Networks Appl. 26(2): 794-796 (2021) - [j112]Kiki Maulana Adhinugraha, Wenny Rahayu, Takahiro Hara, David Taniar:
Backup gateways for IoT mesh network using order-k hops Voronoi diagram. World Wide Web 24(3): 955-970 (2021) - [c285]Yihong Zhang, Masumi Shirakawa, Takahiro Hara:
A General Method for Event Detection on Social Media. ADBIS 2021: 43-56 - [c284]Hayato Nakama, Daichi Amagata, Takahiro Hara:
Approximate Top-k Inner Product Join with a Proximity Graph. IEEE BigData 2021: 4468-4471 - [c283]Yihong Zhang, Takahiro Hara:
Predicting E-commerce Item Sales With Web Environment Temporal Background. BIS 2021: 233-243 - [c282]Yusuke Arai, Daichi Amagata, Sumio Fujita, Takahiro Hara:
LGTM: A Fast and Accurate kNN Search Algorithm in High-Dimensional Spaces. DEXA (2) 2021: 220-231 - [c281]Daichi Amagata, Shohei Tsuruoka, Yusuke Arai, Takahiro Hara:
Feat-SKSJ: Fast and Exact Algorithm for Top-k Spatial-Keyword Similarity Join. SIGSPATIAL/GIS 2021: 15-24 - [c280]Naoya Yoshimura, Takuya Maekawa, Takahiro Hara:
Toward Understanding Acceleration-based Activity Recognition Neural Networks with Activation Maximization. IJCNN 2021: 1-8 - [c279]Yihong Zhang, Takuya Maekawa, Takahiro Hara:
Using Social Media Background to Improve Cold-Start Recommendation Deep Models. IJCNN 2021: 1-8 - [c278]Yuuki Nishino, Takuya Maekawa, Takahiro Hara:
WeakCounter: Acceleration-based Repetition Counting of Actions with Weakly Supervised Learning. ISWC 2021: 144-146 - [c277]Yihong Zhang, Masumi Shirakawa, Takahiro Hara:
An Automatic Method for Understanding Political Polarization Through Social Media. KSEM 2021: 52-63 - [c276]Yuka Tanno, Takuya Maekawa, Takahiro Hara:
Wi-Fi CSI-Based Activity Recognition with Adaptive Sampling Rate Selection. MobiQuitous 2021: 507-512 - [c275]Jun Murao, Kei Yonekawa, Mori Kurokawa, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
Concept Drift Detection with Denoising Autoencoder in Incomplete Data. MobiQuitous 2021: 541-552 - [c274]Yiming Tian, Takuya Maekawa, Takahiro Hara, Yojiro Yokomori, Takashi Kitagawa:
NaviMine: A tool for mining trajectories through behavior prediction. PerCom Workshops 2021: 502-507 - [c273]Daichi Amagata, Takahiro Hara:
Reverse Maximum Inner Product Search: How to efficiently find users who would like to buy my item? RecSys 2021: 273-281 - [c272]Daichi Amagata, Makoto Onizuka, Takahiro Hara:
Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach. SIGMOD Conference 2021: 36-48 - [c271]Daichi Amagata, Takahiro Hara:
Fast Density-Peaks Clustering: Multicore-based Parallelization Approach. SIGMOD Conference 2021: 49-61 - [i7]Shohei Tsuruoka, Daichi Amagata, Shunya Nishio, Takahiro Hara:
Distributed Spatial-Keyword kNN Monitoring for Location-aware Pub/Sub. CoRR abs/2101.12417 (2021) - [i6]Yihong Zhang, Masumi Shirakawa, Takahiro Hara:
A General Method for Event Detection on Social Media. CoRR abs/2106.02250 (2021) - [i5]Yihong Zhang, Takuya Maekawa, Takahiro Hara:
Using Social Media Background to Improve Cold-start Recommendation Deep Models. CoRR abs/2106.02256 (2021) - [i4]Daichi Amagata, Takahiro Hara:
Reverse Maximum Inner Product Search: How to efficiently find users who would like to buy my item? CoRR abs/2110.07131 (2021) - [i3]Daichi Amagata, Makoto Onizuka, Takahiro Hara:
Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach. CoRR abs/2110.08959 (2021) - 2020
- [j111]Xiaofei Cao, Sanjay Madria, Takahiro Hara:
Multi-model Z-compression for high speed data streaming and low-power wireless sensor networks. Distributed Parallel Databases 38(1): 153-191 (2020) - [j110]Kiki Maulana Adhinugraha, Wenny Rahayu, Takahiro Hara, David Taniar:
On Internet-of-Things (IoT) gateway coverage expansion. Future Gener. Comput. Syst. 107: 578-587 (2020) - [j109]Boqi Gao, Takuya Maekawa, Daichi Amagata, Takahiro Hara:
Detecting Reinforcement Learning-Based Grey Hole Attack in Mobile Wireless Sensor Networks. IEICE Trans. Commun. 103-B(5): 504-516 (2020) - [j108]Boqi Gao, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
Detecting Energy Depriving Malicious Nodes by Unsupervised Learning in Energy Harvesting Cooperative Wireless Sensor Networks. J. Inf. Process. 28: 689-698 (2020) - [j107]Juan Antonio Gómez Pulido, Jorge Sá Silva, Takahiro Hara:
Algorithm and Distributed Computing for the Internet of Things. Sensors 20(16): 4513 (2020) - [j106]Renée Schulz, Berglind Smaradottir, Andreas Prinz, Takahiro Hara:
User-Centered Design of a Scenario-Based Serious Game: Game-Based Teaching of Future Healthcare. IEEE Trans. Games 12(4): 376-385 (2020) - [c270]Takahiro Hara:
Persona Model Transfer for User Activity Prediction Across Heterogeneous Domains. Poly/DMAH@VLDB 2020: 37-41 - [c269]Yihong Zhang, Takahiro Hara, Masumi Shirakawa:
Discovering Social Media Timing Signals for Predicting Temporary Deal Success. ECIS 2020 - [c268]Shohei Tsuruoka, Daichi Amagata, Shunya Nishio, Takahiro Hara:
Distributed Spatial-Keyword kNN Monitoring for Location-aware Pub/Sub. SIGSPATIAL/GIS 2020: 111-114 - [c267]Yihong Zhang, Takahiro Hara:
A Probabilistic Model for Malicious User and Rumor Detection on Social Media. HICSS 2020: 1-10 - [c266]Shinya Ishiyama, Tadashi Nakano, Yutaka Okaie, Takahiro Hara, Kaname Harumoto:
Cooperative signaling and directed migration of bio-nanomachines in mobile molecular communication. NANOCOM 2020: 3:1-3:7 - [c265]Duc Nguyen, Hao Niu, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
On the Transferability of Deep Neural Networks for Recommender System. IAL@PKDD/ECML 2020: 22-37 - [c264]Masayuki Fujiwara, Tomoya Nakatani, Yiming Tian, Joseph Korpela, Takuya Maekawa, Takahiro Hara:
Smartphone-assisted Automatic Indoor Localization of BLE-enabled Appliances Using BLE and GNSS Signals. BuildSys 2020: 80-89 - [c263]Kazuki Yonekura, Tadashi Nakano, Yutaka Okaie, Takahiro Hara, Kaname Harumoto:
Network Formation Model of Bio-nanomachines Based on Directed Migration and Adhesion. WCNC 2020: 1-6 - [c262]Yihong Zhang, Masumi Shirakawa, Takahiro Hara:
A Probabilistic Model for Predicting E-commerce Purchases from Emerging Local and Social Interests. WI/IAT 2020: 345-350
2010 – 2019
- 2019
- [j105]Takahiro Hara, Wang-Chien Lee, Bin Yang:
Editorial: mobile data management and analytics. GeoInformatica 23(4): 499-500 (2019) - [j104]Yuya Sasaki, Takahiro Hara, Yoshiharu Ishikawa:
Efficient framework for processing top-k queries with replication in mobile ad hoc networks. GeoInformatica 23(4): 591-620 (2019) - [j103]Tadashi Nakano, Yutaka Okaie, Shouhei Kobayashi, Takahiro Hara, Yasushi Hiraoka, Tokuko Haraguchi:
Methods and Applications of Mobile Molecular Communication. Proc. IEEE 107(7): 1442-1456 (2019) - [j102]Tatsuya Nakamura, Masumi Shirakawa, Takahiro Hara, Shojiro Nishio:
Wikipedia-Based Relatedness Measurements for Multilingual Short Text Clustering. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(2): 16:1-16:25 (2019) - [j101]Tadashi Nakano, Lin Lin, Yutaka Okaie, Cong Wu, Hao Yan, Takahiro Hara, Kaname Harumoto:
Random Cell Motion Enhances the Capacity of Cell-Cell Communication. IEEE Trans. Mol. Biol. Multi Scale Commun. 5(2): 158-162 (2019) - [c261]Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara:
Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction. IEEE BigData 2019: 5611-5619 - [c260]Shinya Kato, Daichi Amagata, Shunya Nishio, Takahiro Hara:
Discord Monitoring for Streaming Time-Series. DEXA (1) 2019: 79-94 - [c259]Daichi Amagata, Takahiro Hara:
Correlation Set Discovery on Time-Series Data. DEXA (2) 2019: 275-290 - [c258]Takahiro Hara:
Dummy-Based Location Anonymization for Controlling Observable User Preferences. GLOBECOM 2019: 1-7 - [c257]Wei Zhao, Lianwei Zhu, Xuangou Wu, Zhi Liu, Xiujun Wang, Ruilin Pan, Takahiro Hara:
Resource Assignment for Real-Time Streaming in Edge Node-Assisted Transmitting. GLOBECOM Workshops 2019: 1-6 - [c256]Naoya Yoshimura, Takuya Maekawa, Daichi Amagata, Takahiro Hara:
Upsampling Inertial Sensor Data from Wearable Smart Devices using Neural Networks. ICDCS 2019: 1983-1993 - [c255]Daichi Amagata, Takahiro Hara, Chuan Xiao:
Dynamic Set kNN Self-Join. ICDE 2019: 818-829 - [c254]Daichi Amagata, Takahiro Hara:
Identifying the Most Interactive Object in Spatial Databases. ICDE 2019: 1286-1297 - [c253]Naoya Yoshimura, Takuya Maekawa, Takahiro Hara:
Preliminary Investigation of Visualizing Human Activity Recognition Neural Network. ICMU 2019: 1-2 - [c252]Shinya Ishiyama, Tadashi Nakano, Yutaka Okaie, Takahiro Hara, Kaname Harumoto:
Data-driven Simulation of Epidemic Information Dissemination in Mobile Molecular Communication. NANOCOM 2019: 34 - [c251]