default search action
Takahiro Hara
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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) - [c318]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 - [c317]Daichi Amagata, Junya Yamada, Yuchen Ji, Takahiro Hara:
Efficient Algorithms for Top-k Stabbing Queries on Weighted Interval Data. DEXA (1) 2024: 146-152 - [c316]Yuchen Ji, Daichi Amagata, Yuya Sasaki, Takahiro Hara:
SAFE: Sampling-Assisted Fast Learned Cardinality Estimation for Dynamic Spatial Data. DEXA (2) 2024: 201-216 - [c315]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 - [c314]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 - [c313]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 - [c312]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 - [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@SenSys 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]