• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 160 matches

• 2024
• 
  Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki:
  Image Generation from Hyper Scene Graph with Multiple Types of Trinomial Hyperedges. SN Comput. Sci. 5(5): 624 (2024)
• 
  Liheng Shen, Tetsu Matsukawa, Einoshin Suzuki:
  SATJiP: Spatial and Augmented Temporal Jigsaw Puzzles for Video Anomaly Detection. PAKDD (1) 2024: 27-40
• 
  Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki:
  Image Generation from Hyper Scene Graphs with Trinomial Hyperedges Using Object Attention. VISIGRAPP (2): VISAPP 2024: 266-279
• 2023
• 
  Kang Zhang, Muhammad Fikko Fadjrimiratno, Einoshin Suzuki:
  Region Anomaly Detection via Spatial and Semantic Attributed Graph in Human Monitoring. Sensors 23(3): 1307 (2023)
• 
  Jose Alejandro Avellaneda, Tetsu Matsukawa, Einoshin Suzuki:
  Cross-Modal Self-Supervised Feature Extraction for Anomaly Detection in Human Monitoring. CASE 2023: 1-8
• 
  Wenbo Li, Yao Yang, Einoshin Suzuki:
  Class-Specific Word Sense Aware Topic Modeling via Soft Orthogonalized Topics. CIKM 2023: 1218-1227
• 
  Qiming Zou, Einoshin Suzuki:
  Sample-Efficient Goal-Conditioned Reinforcement Learning via Predictive Information Bottleneck for Goal Representation Learning. ICRA 2023: 9523-9529
• 
  Kang Zhang, Einoshin Suzuki:
  Judging Credible and Unethical Statistical Data Explanations via Phrase Similarity Graph. PACIS 2023: 121
• 
  Ryosuke Miyake, Tetsu Matsukawa, Einoshin Suzuki:
  Image Generation from a Hyper Scene Graph with Trinomial Hyperedges. VISIGRAPP (5: VISAPP) 2023: 185-195
• 2022
• 
  Ning Dong, Einoshin Suzuki:
  GIAD-ST: Detecting anomalies in human monitoring based on generative inpainting via self-supervised multi-task learning. J. Intell. Inf. Syst. 59(3): 733-754 (2022)
• 
  Kang Zhang, Hiroaki Shinden, Tatsuki Mutsuro, Einoshin Suzuki:
  Judging Instinct Exploitation in Statistical Data Explanations Based on Word Embedding. AIES 2022: 867-879
• 
  Liheng Shen, Tetsu Matsukawa, Einoshin Suzuki:
  Detecting Video Anomalous Events with an Enhanced Abnormality Score. PRICAI (1) 2022: 202-217
• 2021
• 
  Mirai Takayanagi, Yasuo Tabei, Einoshin Suzuki, Hiroto Saigo:
  Sparse Nonnegative Interaction Models. IEEE Access 9: 109994-110005 (2021)
• 
  Wenbo Li, Einoshin Suzuki:
  Adaptive and hybrid context-aware fine-grained word sense disambiguation in topic modeling based document representation. Inf. Process. Manag. 58(4): 102592 (2021)
• 
  Wenbo Li, Hiroto Saigo, Bin Tong, Einoshin Suzuki:
  Topic modeling for sequential documents based on hybrid inter-document topic dependency. J. Intell. Inf. Syst. 56(3): 435-458 (2021)
• 
  Kang Zhang, Muhammad Fikko Fadjrimiratno, Einoshin Suzuki:
  Context-Based Anomaly Detection via Spatial Attributed Graphs in Human Monitoring. ICONIP (1) 2021: 450-463
• 
  Qiming Zou, Einoshin Suzuki:
  Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning. ICONIP (1) 2021: 240-253
• 
  Ning Dong, Einoshin Suzuki:
  GIAD: Generative Inpainting-Based Anomaly Detection via Self-Supervised Learning for Human Monitoring. PRICAI (2) 2021: 418-432
• 
  Muhammad Fikko Fadjrimiratno, Yusuke Hatae, Tetsu Matsukawa, Einoshin Suzuki:
  Detecting Anomalies from Human Activities by an Autonomous Mobile Robot based on "Fast and Slow" Thinking. VISIGRAPP (5: VISAPP) 2021: 943-953
• 
  Yusuke Ohtsubo, Tetsu Matsukawa, Einoshin Suzuki:
  Semi-Supervised Few-Shot Classification with Deep Invertible Hybrid Models. CoRR abs/2105.10644 (2021)
• 2020
• 
  Hirofumi Fujita, Tetsu Matsukawa, Einoshin Suzuki:
  Detecting outliers with one-class selective transfer machine. Knowl. Inf. Syst. 62(5): 1781-1818 (2020)
• 
  Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato:
  Hierarchical Gaussian Descriptors with Application to Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2179-2194 (2020)
• 
  Wenbo Li, Einoshin Suzuki:
  Hybrid Context-Aware Word Sense Disambiguation in Topic Modeling based Document Representation. ICDM 2020: 332-341
• 
  Tetsu Matsukawa, Einoshin Suzuki:
  Convolutional Feature Transfer via Camera-Specific Discriminative Pooling for Person Re-Identification. ICPR 2020: 8408-8415
• 
  Kaikai Zhao, Takashi Imaseki, Hiroshi Mouri, Einoshin Suzuki, Tetsu Matsukawa:
  From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking. ICPR 2020: 2506-2513
• 
  Ning Dong, Yusuke Hatae, Muhammad Fikko Fadjrimiratno, Tetsu Matsukawa, Einoshin Suzuki:
  Experimental Evaluation of GAN-Based One-Class Anomaly Detection on Office Monitoring. ISMIS 2020: 214-224
• 
  Wenbo Li, Tetsu Matsukawa, Hiroto Saigo, Einoshin Suzuki:
  Context-Aware Latent Dirichlet Allocation for Topic Segmentation. PAKDD (1) 2020: 475-486
• 
  Yusuke Hatae, Qingpu Yang, Muhammad Fikko Fadjrimiratno, Yuanyuan Li, Tetsu Matsukawa, Einoshin Suzuki:
  Detecting Anomalous Regions from an Image based on Deep Captioning. VISIGRAPP (5: VISAPP) 2020: 326-335
• 2019
• 
  Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki:
  Experimental validation for N-ary error correcting output codes for ensemble learning of deep neural networks. J. Intell. Inf. Syst. 52(2): 367-392 (2019)
• 
  Yusuke Ohtsubo, Tetsu Matsukawa, Einoshin Suzuki:
  Harnessing GAN with Metric Learning for One-Shot Generation on a Fine-Grained Category. ICTAI 2019: 915-922

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