Daichi Amagata

104 papers A* 9A 5B 15C 4Journal 36Unranked 35

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Approximate Reverse CoRR Daichi Amagata, Kazuyoshi Aoyama, Keito Kido, Sumio Fujita
2025	B	`conf`	Approximate Reverse k-Ranks Queries in High Dimensions. SSDBM Daichi Amagata, Kazuyoshi Aoyama, Keito Kido, Sumio Fujita
2025	—	`conf`	Fast Approximation Algorithm for Euclidean Minimum Spanning Tree Building in High Dimensions. PAKDD (6) Keito Kido, Daichi Amagata, Takahiro Hara
2025	J	`jnl`	How Should We Evaluate Data Deletion in Graph-Based ANN Indexes? CoRR Tomohiro Yamashita, Daichi Amagata, Yusuke Matsui
2025	B	`conf`	How to Mine Potentially Popular Items? A Reverse MIPS-based Approach. SSDBM Daichi Amagata, Kazuyoshi Aoyama, Keito Kido, Sumio Fujita
2025	J	`jnl`	How to Mine Potentially Popular Items? A Reverse MIPS-based Approach. CoRR Daichi Amagata, Kazuyoshi Aoayama, Keito Kido, Sumio Fujita
2025	B	`conf`	IVF++: A Flexible and Efficient Algorithm for Approximate Nearest Neighbor Search under Attribute Constraint. IEEE Big Data Reon Uemura, Daichi Amagata
2025	J	`jnl`	PolyCard: A learned cardinality estimator for intersection queries on spatial polygons. J. Intell. Inf. Syst. Yuchen Ji, Daichi Amagata, Yuya Sasaki, Takahiro Hara
2025	A*	`conf`	Random Sampling Over Spatial Range Joins. ICDE Daichi Amagata
2025	J	`jnl`	Random Sampling over Spatial Range Joins. CoRR Daichi Amagata
2025	B	`conf`	Target and Non-target Category Classification from GPS and Check-in Data. SSTD Daichi Amagata, Ryo Shirai, Ryo Imai
2025	B	`conf`	Top-k Range Search on Weighted Interval Data. SSTD Daichi Amagata, Jimin Lee
2024	B	`conf`	An Efficient Framework for Approximate Nearest Neighbor Search on High-Dimensional Multi-metric Data. SISAP Reon Uemura, Daichi Amagata, Takahiro Hara
2024	J	`jnl`	Efficient Algorithms for Top-k Stabbing Queries on Weighted Interval Data (Full Version). CoRR Daichi Amagata, Junya Yamada, Yuchen Ji, Takahiro Hara
2024	—	`conf`	Efficient Algorithms for Top-k Stabbing Queries on Weighted Interval Data. DEXA (1) Daichi Amagata, Junya Yamada, Yuchen Ji, Takahiro Hara
2024	J	`jnl`	Efficient Density-peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space. ACM Trans. Knowl. Discov. Data Daichi Amagata, Takahiro Hara
2024	—	`conf`	Estimating Visited Stores Through Positive-Unlabeled Learning. DASFAA (7) Ryo Shirai, Ryo Imai, Seng Pei Liew, Daichi Amagata, Tsubasa Takahashi, Takahiro Hara
2024	A	`conf`	Fair k-center Clustering with Outliers. AISTATS Daichi Amagata
2024	J	`jnl`	Independent Range Sampling on Interval Data (Longer Version). CoRR Daichi Amagata
2024	A*	`conf`	Independent Range Sampling on Interval Data. ICDE Daichi Amagata
2024	A*	`conf`	Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations. SIGIR Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa
2024	—	`conf`	SAFE: Sampling-Assisted Fast Learned Cardinality Estimation for Dynamic Spatial Data. DEXA (2) Yuchen Ji, Daichi Amagata, Yuya Sasaki, Takahiro Hara
2023	B	`conf`	Approximate Reverse Top-k Spatial-Keyword Queries. MDM Shunya Nishio, Daichi Amagata, Takahiro Hara
2023	J	`jnl`	Categorical Diversity-Aware Inner Product Search. IEEE Access Kohei Hirata, Daichi Amagata, Sumio Fujita, Takahiro Hara
2023	A*	`conf`	Diversity Maximization in the Presence of Outliers. AAAI Daichi Amagata
2023	J	`jnl`	Fast Algorithm for Embedded Order Dependency Validation (Extended Version). CoRR Alejandro Ramos, Takuya Uemura, Daichi Amagata, Ryo Shirai, Takahiro Hara
2023	B	`conf`	Fast Algorithm for Embedded Order Dependency Validation. SSDBM Daichi Amagata, Alejandro Ramos, Ryo Shirai, Takahiro Hara
2023	A*	`conf`	Lamps: Location-Aware Moving Top-k Pub/Sub (Extended abstract). ICDE Shunya Nishio, Daichi Amagata, Takahiro Hara
2023	—	`conf`	Learned Spatial Data Partitioning. aiDM@SIGMOD Keizo Hori, Yuya Sasaki, Daichi Amagata, Yuki Murosaki, Makoto Onizuka
2023	J	`jnl`	Learned spatial data partitioning. CoRR Keizo Hori, Yuya Sasaki, Daichi Amagata, Yuki Murosaki, Makoto Onizuka
2023	B	`conf`	POI Recommendation by Learning Short-, Long- and Mid-Term Preferences through GNN. MDM Yue Zhao, Yihong Zhang, Daichi Amagata, Takahiro Hara
2023	J	`jnl`	Reverse Maximum Inner Product Search: Formulation, Algorithms, and Analysis. ACM Trans. Web Daichi Amagata, Takahiro Hara
2023	—	`conf`	Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations. PAKDD (3) Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa
2023	A*	`conf`	Simpler is Much Faster: Fair and Independent Inner Product Search. SIGIR Kazuyoshi Aoyama, Daichi Amagata, Sumio Fujita, Takahiro Hara
2023	—	`conf`	User-irrelevant Cross-domain Association Analysis for Cross-domain Recommendation with Transfer Learning. ICDAR@ICMR Hao Niu, Duc V. Nguyen, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara
2022	C	`conf`	A Performance Study of One-dimensional Learned Cardinality Estimation. DOLAP Yuchen Ji, Daichi Amagata, Yuya Sasaki, Takahiro Hara
2022	J	`jnl`	Cardinality Estimation in Inner Product Space. IEEE Open J. Comput. Soc. Kohei Hirata, Daichi Amagata, Takahiro Hara
2022	B	`conf`	Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations. IEEE Big Data Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa
2022	J	`jnl`	Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations. CoRR Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa
2022	—	`conf`	Efficient Retrieval of Top-k Weighted Spatial Triangles. DASFAA (1) Ryosuke Taniguchi, Daichi Amagata, Takahiro Hara
2022	J	`jnl`	Efficient Retrieval of Top-k Weighted Triangles on Static and Dynamic Spatial Data. IEEE Access Ryosuke Taniguchi, Daichi Amagata, Takahiro Hara
2022	J	`jnl`	Fast Density-Peaks Clustering: Multicore-based Parallelization Approach. CoRR Daichi Amagata, Takahiro Hara
2022	J	`jnl`	Fast, exact, and parallel-friendly outlier detection algorithms with proximity graph in metric spaces. VLDB J. Daichi Amagata, Makoto Onizuka, Takahiro Hara
2022	J	`jnl`	HML4Rec: Hierarchical meta-learning for cold-start recommendation in flash sale e-commerce. Knowl. Based Syst. Zhi Li, Daichi Amagata, Yihong Zhang, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Mori Kurokawa
2022	J	`jnl`	Lamps: Location-Aware Moving Top-k Pub/Sub. IEEE Trans. Knowl. Data Eng. Shunya Nishio, Daichi Amagata, Takahiro Hara
2022	J	`jnl`	Learned k-NN Distance Estimation. CoRR Daichi Amagata, Yusuke Arai, Sumio Fujita, Takahiro Hara
2022	—	`conf`	Learned k-NN distance estimation. SIGSPATIAL/GIS Daichi Amagata, Yusuke Arai, Sumio Fujita, Takahiro Hara
2022	B	`conf`	Retrieving Top-N Weighted Spatial k-cliques. IEEE Big Data Ryosuke Taniguchi, Daichi Amagata, Takahiro Hara
2022	B	`conf`	Scalable and Accurate Density-Peaks Clustering on Fully Dynamic Data. IEEE Big Data Daichi Amagata
2022	A	`conf`	Solving Diversity-Aware Maximum Inner Product Search Efficiently and Effectively. RecSys Kohei Hirata, Daichi Amagata, Sumio Fujita, Takahiro Hara
2021	—	`conf`	Approximate Top-k Inner Product Join with a Proximity Graph. IEEE BigData Hayato Nakama, Daichi Amagata, Takahiro Hara
2021	C	`conf`	Concept Drift Detection with Denoising Autoencoder in Incomplete Data. MobiQuitous Jun Murao, Kei Yonekawa, Mori Kurokawa, Daichi Amagata, Takuya Maekawa, Takahiro Hara
2021	J	`jnl`	Distributed Spatial-Keyword kNN Monitoring for Location-aware Pub/Sub. CoRR Shohei Tsuruoka, Daichi Amagata, Shunya Nishio, Takahiro Hara
2021	—	`conf`	Fast Density-Peaks Clustering: Multicore-based Parallelization Approach. SIGMOD Conference Daichi Amagata, Takahiro Hara
2021	—	`conf`	Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach. SIGMOD Conference Daichi Amagata, Makoto Onizuka, Takahiro Hara
2021	J	`jnl`	Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach. CoRR Daichi Amagata, Makoto Onizuka, Takahiro Hara
2021	—	`conf`	Feat-SKSJ: Fast and Exact Algorithm for Top-k Spatial-Keyword Similarity Join. SIGSPATIAL/GIS Daichi Amagata, Shohei Tsuruoka, Yusuke Arai, Takahiro Hara
2021	—	`conf`	LGTM: A Fast and Accurate kNN Search Algorithm in High-Dimensional Spaces. DEXA (2) Yusuke Arai, Daichi Amagata, Sumio Fujita, Takahiro Hara
2021	J	`jnl`	Predicting Next-use Mobile Apps Using App Semantic Representations. J. Inf. Process. Cheng Chen, Takuya Maekawa, Daichi Amagata, Takahiro Hara
2021	A	`conf`	Reverse Maximum Inner Product Search: How to efficiently find users who would like to buy my item? RecSys Daichi Amagata, Takahiro Hara
2021	J	`jnl`	Reverse Maximum Inner Product Search: How to efficiently find users who would like to buy my item? CoRR Daichi Amagata, Takahiro Hara
2020	J	`jnl`	Detecting Energy Depriving Malicious Nodes by Unsupervised Learning in Energy Harvesting Cooperative Wireless Sensor Networks. J. Inf. Process. Boqi Gao, Daichi Amagata, Takuya Maekawa, Takahiro Hara
2020	J	`jnl`	Detecting Reinforcement Learning-Based Grey Hole Attack in Mobile Wireless Sensor Networks. IEICE Trans. Commun. Boqi Gao, Takuya Maekawa, Daichi Amagata, Takahiro Hara
2020	—	`conf`	Distributed Spatial-Keyword kNN Monitoring for Location-aware Pub/Sub. SIGSPATIAL/GIS Shohei Tsuruoka, Daichi Amagata, Shunya Nishio, Takahiro Hara
2020	—	`conf`	On the Transferability of Deep Neural Networks for Recommender System. IAL@PKDD/ECML Duc Nguyen, Hao Niu, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara
2019	—	`conf`	A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting. PAKDD (Workshops) Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara
2019	—	`conf`	Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction. IEEE BigData Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara
2019	—	`conf`	Behavior Matching between Different Domains based on Canonical Correlation Analysis. WWW (Companion Volume) Yuan Lyu, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa
2019	—	`conf`	Correlation Set Discovery on Time-Series Data. DEXA (2) Daichi Amagata, Takahiro Hara
2019	—	`conf`	Discord Monitoring for Streaming Time-Series. DEXA (1) Shinya Kato, Daichi Amagata, Shunya Nishio, Takahiro Hara
2019	A*	`conf`	Dynamic Set kNN Self-Join. ICDE Daichi Amagata, Takahiro Hara, Chuan Xiao
2019	—	`conf`	Estimating User Contexts from Mobile Application Usage Histories. PerCom Workshops Toshimitsu Kamiya, Tatsuya Nakamura, Takuya Maekawa, Daichi Amagata, Takahiro Hara
2019	A*	`conf`	Identifying the Most Interactive Object in Spatial Databases. ICDE Daichi Amagata, Takahiro Hara
2019	—	`conf`	Preliminary Investigation of Alleviating User Cold-Start Problem in E-commerce with Deep Cross-Domain Recommender System. WWW (Companion Volume) Hanxin Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Hao Niu, Kei Yonekawa, Mori Kurokawa
2019	—	`conf`	Preliminary Investigation of Predicting Next-Use Mobile Apps Using App Semantic Representations. PerCom Workshops Cheng Chen, Takuya Maekawa, Daichi Amagata, Takahiro Hara
2019	A	`conf`	Upsampling Inertial Sensor Data from Wearable Smart Devices using Neural Networks. ICDCS Naoya Yoshimura, Takuya Maekawa, Daichi Amagata, Takahiro Hara
2018	J	`jnl`	Detecting Door Events Using a Smartphone via Active Sound Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Thilina Dissanayake, Takuya Maekawa, Daichi Amagata, Takahiro Hara
2018	—	`conf`	Developing a Competency-based System to Enhance Knowledge Management Program. iCAST Yujia Wang, Chalermpon Kongjit, Takahiro Hara, Daichi Amagata
2018	J	`jnl`	Dummy Generation Based on User-Movement Estimation for Location Privacy Protection. IEEE Access Shuhei Hayashida, Daichi Amagata, Takahiro Hara, Xing Xie
2018	A	`conf`	Environment-Adaptive Malicious Node Detection in MANETs with Ensemble Learning. ICDCS Boqi Gao, Takuya Maekawa, Daichi Amagata, Takahiro Hara
2018	A*	`conf`	Mining Top-k Co-Occurrence Patterns across Multiple Streams (Extended Abstract). ICDE Daichi Amagata, Takahiro Hara
2018	—	`conf`	Monitoring Range Motif on Streaming Time-Series. DEXA (1) Shinya Kato, Daichi Amagata, Shunya Nishio, Takahiro Hara
2018	—	`conf`	Preliminary Investigation of Detecting Events of Indoor Objects with Smartphone Active Sound Sensing. PerCom Workshops Thilina Dissanayake, Takuya Maekawa, Daichi Amagata, Takahiro Hara
2018	—	`conf`	Preliminary Investigation of Fine-Grained Gesture Recognition With Signal Super-Resolution. PerCom Workshops Naoya Yoshimura, Takuya Maekawa, Daichi Amagata, Takahiro Hara
2018	J	`jnl`	Space Filling Approach for Distributed Processing of Top-k Dominating Queries. IEEE Trans. Knowl. Data Eng. Daichi Amagata, Takahiro Hara, Makoto Onizuka
2018	—	`conf`	Virtual Touch-Point: Trans-Domain Behavioral Targeting via Transfer Learning. IEEE BigData Mori Kurokawa, Hao Niu, Kei Yonekawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara
2017	J	`jnl`	A General Framework for MaxRS and MaxCRS Monitoring in Spatial Data Streams. ACM Trans. Spatial Algorithms Syst. Daichi Amagata, Takahiro Hara
2017	J	`jnl`	Efficient cluster-based top-k query routing with data replication in MANETs. Soft Comput. Daichi Amagata, Takahiro Hara, Yuya Sasaki, Shojiro Nishio
2017	—	`conf`	Geo-Social Keyword Skyline Queries. DEXA (1) Naoya Taguchi, Daichi Amagata, Takahiro Hara
2017	—	`conf`	Geo-Social Keyword Top-k Data Monitoring over Sliding Window. DEXA (1) Shunya Nishio, Daichi Amagata, Takahiro Hara
2017	J	`jnl`	Mining Top-k Co-Occurrence Patterns across Multiple Streams. IEEE Trans. Knowl. Data Eng. Daichi Amagata, Takahiro Hara
2017	—	`conf`	Probabilistic MaxRS Queries on Uncertain Data. DEXA (1) Yuki Nakayama, Daichi Amagata, Takahiro Hara
2016	—	`conf`	An Efficient Method for Identifying MaxRS Location in Mobile Ad Hoc Networks. DEXA (1) Yuki Nakayama, Daichi Amagata, Takahiro Hara
2016	—	`conf`	Diversified set monitoring over distributed data streams. DEBS Daichi Amagata, Takahiro Hara
2016	J	`jnl`	Efficient processing of top-k dominating queries in distributed environments. World Wide Web Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio
2016	B	`conf`	Monitoring MaxRS in Spatial Data Streams. EDBT Daichi Amagata, Takahiro Hara
2016	J	`jnl`	Probabilistic nearest neighbor query processing on distributed uncertain data. Distributed Parallel Databases Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio
2016	J	`jnl`	Sliding window top-k dominating query processing over distributed data streams. Distributed Parallel Databases Daichi Amagata, Takahiro Hara, Shojiro Nishio
2015	B	`conf`	Distributed top-k query processing on multi-dimensional data with keywords. SSDBM Daichi Amagata, Takahiro Hara, Shojiro Nishio
2015	J	`jnl`	Efficient Multidimensional Top-k Query Processing in Wireless Multihop Networks. Mob. Inf. Syst. Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio
2015	C	`conf`	Range-based Continuous Threshold Query Processing in Mobile Ad Hoc Networks. MoMM Yuki Nakayama, Daichi Amagata, Takahiro Hara, Shojiro Nishio
2014	C	`conf`	CTR: An Efficient Cluster-based Top-k Query Routing in MANETs. MoMM Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio
2013	—	`conf`	A Robust Routing Method for Top-k Queries in Mobile Ad Hoc Networks. MDM (1) Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio
2013	B	`conf`	A Routing Method for Top-k Query Processing in Mobile Ad Hoc Networks. AINA Daichi Amagata, Yuya Sasaki, Takahiro Hara, Shojiro Nishio