Abstract is missing.
- Model for Cooking Recipe Generation using Reinforcement LearningJumpei Fujita, Masahiro Sato, Hajime Nobuhara. 1-4 [doi]
- Detecting Substitutability of Cooking Steps based on Prior Knowledge Embedded Hidden Markov ModelHina Yoshida, Hiroshi Uehara. 5-8 [doi]
- Developing Local Food Map for Digital Archiving of Japanese Local Foods and Considering Its RedesignIkue Kawamura, Shun Shiramatsu. 9-12 [doi]
- Semantic Modeling for Food Recommendation ExplanationsIshita Padhiar, Oshani Seneviratne, Shruthi Chari, Dan Gruen, Deborah L. McGuinness. 13-19 [doi]
- Nutrition Guided Recipe Search via Pre-trained Recipe EmbeddingsDiya Li, Mohammed J. Zaki, Ching-Hua Chen. 20-23 [doi]
- RecipeGM: A Hierarchical Recipe Generation ModelAnja Reusch, Alexander Weber 0005, Maik Thiele, Wolfgang Lehner. 24-29 [doi]
- GTraclus: A Local Trajectory Clustering Algorithm for GPUsHamza Mustafa, Clark Barrus, Eleazar Leal, Le Gruenwald. 30-35 [doi]
- Analysis of GPU-Libraries for Rapid Prototyping Database Operations : A look into library support for database operationsHarish Kumar Harihara Subramanian, Bala Gurumurthy, Gabriel Campero Durand, David Broneske, Gunter Saake. 36-41 [doi]
- Performance Analysis of Big Data ETL Process over CPU-GPU Heterogeneous ArchitecturesSuyeon Lee, Sungyong Park. 42-47 [doi]
- An Investigation of Atomic Synchronization for Sort-Based Group-By Aggregation on GPUsBala Gurumurthy, David Broneske, Martin Schäler, Thilo Pionteck, Gunter Saake. 48-53 [doi]
- COPRAO: A Capability Aware Query Optimizer for Reconfigurable Near Data ProcessorsLekshmi B. G., Klaus Meyer-Wegener. 54-59 [doi]
- Mastering the NEC Vector Engine Accelerator for Analytical Query ProcessingAnnett Ungethüm, Lennart Schmidt, Johannes Pietrzyk, Dirk Habich, Wolfgang Lehner. 60-65 [doi]
- How Does Updatable Learned Index Perform on Non-Volatile Main Memory?Leying Chen, Shimin Chen. 66-71 [doi]
- Talking Blockchains: The Perspective of a Database ResearcherFelix Martin Schuhknecht. 72-75 [doi]
- Towards a Blockchain Database for Massive IoT WorkloadsPanagiotis Drakatos, Erodotos Demetriou, Stavroulla Koumou, Andreas Konstantinidis 0002, Demetrios Zeinalipour-Yazti. 76-79 [doi]
- Measuring Decentralization in Bitcoin and Ethereum using Multiple Metrics and GranularitiesQinwei Lin, Chao Li, Xifeng Zhao, Xianhai Chen. 80-87 [doi]
- Transparent Contribution Evaluation for Secure Federated Learning on BlockchainShuaicheng Ma, Yang Cao 0011, Li Xiong 0001. 88-91 [doi]
- 2: A user-centered decentralized marketplace for privacy preserving data processingLodovico Giaretta, Ioannis Savvidis, Thomas Marchioro, Sarunas Girdzijauskas, George Pallis 0001, Marios D. Dikaiakos, Evangelos P. Markatos. 92-99 [doi]
- C3HSB: A Transparent Supply Chain for Multi-cloud and Hybrid Cloud Assets Powered by BlockchainSrini Bhagavan, Praveen Rao 0001, Thuan Ngo. 100-103 [doi]
- Performance Models of Data Parallel DAG Workflows for Large Scale Data AnalyticsJuwei Shi, Jiaheng Lu. 104-111 [doi]
- Adaptive Query Compilation in Graph DatabasesAlexander Baumstark, Muhammad Attahir Jibril, Kai-Uwe Sattler. 112-119 [doi]
- Improving Stream Load Balance through SheddingNikos R. Katsipoulakis, Alexandros Labrinidis, Panos K. Chrysanthis. 120-126 [doi]
- Towards a Benchmark for Learned SystemsLaurent Bindschaedler, Andreas Kipf, Tim Kraska, Ryan Marcus, Umar Farooq Minhas. 127-133 [doi]