Hisashi Kashima

Kyoto University — Japan

Computer Science · Physical Sciences

38h-index5.3kcitations294works0.72yr avg
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Research Topics

Mobile Crowdsensing and Crowdsourcing(45), Anomaly Detection Techniques and Applications(28), Data Stream Mining Techniques(28), Machine Learning and Data Classification(24), Advanced Causal Inference Techniques(20)

Publications294 total

Learning Neural Strategy-Proof Matching Mechanism from Examples
Frontiers in artificial intelligence and applications·2025Open Access
Neural Double Auction Mechanism
Lecture notes in computer science·2025
Robust Anomaly Detection Under Normality Distribution Shift in Dynamic Graphs
arXiv (Cornell University)·2025Open Access
Counterfactual Evaluation for Blind Attack Detection in LLM-based Evaluation Systems
arXiv (Cornell University)·2025Open Access
Flexible Source-free Domain Generalization via Domain Prompt-Discriminator Collaborative Learning
2025· 1 cited
XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation
arXiv (Cornell University)·2025Open Access
Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments
2025· 3 cited
Dynamic Feature Selection from Variable Feature Sets Using Features of Features
arXiv (Cornell University)·2025Open Access
Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data
2025· 1 cited
Exploring Causes and Mitigation of Hallucinations in Large Vision Language Models
arXiv (Cornell University)·2025Open Access
Transfer learning with pre-trained conditional generative models
Machine Learning·2025· 1 citedOpen Access
Emulating Retrieval Augmented Generation via Prompt Engineering for Enhanced Long Context Comprehension in LLMs
arXiv (Cornell University)·2025Open Access
Learning Location-Guided Time-Series Shapelets
IEEE Transactions on Knowledge and Data Engineering·2025· 2 cited
Treatment Effect Estimation for Graph-Structured Targets
Lecture notes in computer science·2025
Scalable individual treatment effect estimator for large graphs
Machine Learning·2025· 1 citedOpen Access
Treatment Effect Estimation for Graph-Structured Targets
arXiv (Cornell University)·2024Open Access
Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data
arXiv (Cornell University)·2024Open Access
Neural Double Auction Mechanism
arXiv (Cornell University)·2024Open Access
Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments
arXiv (Cornell University)·2024Open Access
Efficient Preference Elicitation in Iterative Combinatorial Auctions with Many Participants
Lecture notes in computer science·2024
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Frequent Co-authors

Masashi Sugiyama(10), Shohei Hido(8), Yuta Tsuboi(6), Ryota Tomioka(5), Kohei Hayashi(5), Yukino Baba(5), Tsuyoshi Kato(3), Hiroshi Kajino(3), Koh Takeuchi(3), Tsuyoshi Idé(2), Jill-Jênn Vie(2), Takafumi Kanamori(2), Atsuhiro Narita(2), Steffen Bickel(2), Ryoma Sato(2), Naonori Ueda(2), Tetsuji Kuboyama(2), Kouichi Hirata(2), Kiyoko F. Aoki‐Kinoshita(2), Hiroshi Yasuda(2)