default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTze-Yun Leong
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
[c82]Haozhe Ma, Thanh Vinh Vo, Tze-Yun Leong:
Mixed-Initiative Bayesian Sub-Goal Optimization in Hierarchical Reinforcement Learning. AAMAS 2024: 1328-1336- [c81]Di Fu, Thanh Vinh Vo, Haozhe Ma, Tze-Yun Leong:
Decoupled Prompt-Adapter Tuning for Continual Activity Recognition. CoLLAs 2024: 784-797 - [c80]Haozhe Ma, Kuankuan Sima, Thanh Vinh Vo, Di Fu, Tze-Yun Leong:
Reward Shaping for Reinforcement Learning with An Assistant Reward Agent. ICML 2024 - [i18]Di Fu, Thanh Vinh Vo, Haozhe Ma, Tze-Yun Leong:
Decoupled Prompt-Adapter Tuning for Continual Activity Recognition. CoRR abs/2407.14811 (2024) - [i17]Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong:
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning. CoRR abs/2408.03029 (2024) - [i16]Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong:
Knowledge Sharing and Transfer via Centralized Reward Agent for Multi-Task Reinforcement Learning. CoRR abs/2408.10858 (2024) - 2023
- [c79]Haozhe Ma, Thanh Vinh Vo, Tze-Yun Leong:
Hierarchical Reinforcement Learning with Human-AI Collaborative Sub-Goals Optimization. AAMAS 2023: 2310-2312 - [c78]Evangelos Sigalas, Thanh Vinh Vo, Tze-Yun Leong, Camilo Libedinsky:
Discovering Low-Dimensional Causal Pathways between Multiple Interacting Neuronal Populations. CogSci 2023 - [i15]Thanh Vinh Vo, Arnab Bhattacharyya, Young Lee, Tze-Yun Leong:
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects. CoRR abs/2301.00346 (2023) - [i14]Abhinit Kumar Ambastha, Tze-Yun Leong:
Adversarial Learning Networks: Source-free Unsupervised Domain Incremental Learning. CoRR abs/2301.12054 (2023) - [i13]Thanh Vinh Vo, Young Lee, Tze-Yun Leong:
Federated Learning of Causal Effects from Incomplete Observational Data. CoRR abs/2308.13047 (2023) - 2022
- [j9]Pengfei Wei
, Yiping Ke, Xinghua Qu, Tze-Yun Leong:
Subdomain Adaptation With Manifolds Discrepancy Alignment. IEEE Trans. Cybern. 52(11): 11698-11708 (2022) - [c77]Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong:
Adaptive Multi-Source Causal Inference from Observational Data. CIKM 2022: 1975-1985 - [c76]Thanh Vinh Vo, Arnab Bhattacharyya, Young Lee, Tze-Yun Leong:
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects. NeurIPS 2022 - [c75]Thanh Vinh Vo, Young Lee, Trong Nghia Hoang, Tze-Yun Leong:
Bayesian federated estimation of causal effects from observational data. UAI 2022: 2024-2034 - 2021
- [c74]Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong:
Causal Modeling with Stochastic Confounders. AISTATS 2021: 3025-3033 - [i12]Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong:
Adaptive Multi-Source Causal Inference. CoRR abs/2105.14877 (2021) - [i11]Thanh Vinh Vo, Trong Nghia Hoang, Young Lee, Tze-Yun Leong:
Federated Estimation of Causal Effects from Observational Data. CoRR abs/2106.00456 (2021) - 2020
- [c73]Pengfei Wei, Xinghua Qu, Yiping Ke, Tze-Yun Leong, Yew-Soon Ong:
Adaptive Knowledge Transfer based on Transfer Neural Kernel Network. AAMAS 2020: 1485-1493 - [c72]Pengfei Wei, Yiping Ke, Zhiqiang Xu, Tze-Yun Leong:
Succinct Adaptive Manifold Transfer. CIKM 2020: 1615-1624 - [c71]Pengfei Wei, Tze-Yun Leong:
Randomized Transferable Machine. ICPR 2020: 8711-8718 - [i10]Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong:
A Causal Modeling Framework with Stochastic Confounders. CoRR abs/2004.11497 (2020) - [i9]Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong:
Subdomain Adaptation with Manifolds Discrepancy Alignment. CoRR abs/2005.03229 (2020) - [i8]Xinyi Xu, Tiancheng Huang, Pengfei Wei, Akshay Narayan, Tze-Yun Leong:
Hierarchial Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection. CoRR abs/2008.03444 (2020) - [i7]Pengfei Wei, Tze-Yun Leong:
Randomized Transferable Machine. CoRR abs/2011.13629 (2020)
2010 – 2019
- 2019
- [c70]Akshay Narayan, Tze-Yun Leong:
Effects of Task Similarity on Policy Transfer with Selective Exploration in Reinforcement Learning. AAMAS 2019: 2132-2134 - [c69]Parvathy Sudhir Pillai, Tze-Yun Leong:
Modeling Multi-View Dependence in Bayesian Networks for Alzheimer's Disease Detection. MedInfo 2019: 358-362 - 2018
- [c68]Parvathy Sudhir Pillai, Lei Feng, Tze-Yun Leong:
Knowledge-Driven Interpretation of Multi-View Data in Medicine. MIE 2018: 745-749 - [i6]Parvathy Sudhir Pillai, Tze-Yun Leong:
Knowledge-driven generative subspaces for modeling multi-view dependencies in medical data. CoRR abs/1812.00509 (2018) - 2017
- [j8]Trung Thanh Nguyen, Tomi Silander, Zhuoru Li, Tze-Yun Leong:
Scalable transfer learning in heterogeneous, dynamic environments. Artif. Intell. 247: 70-94 (2017) - [c67]Tze-Yun Leong:
Toward A Collaborative AI Framework for Assistive Dementia Care. AAAI Workshops 2017 - [c66]Zhuoru Li, Akshay Narayan, Tze-Yun Leong:
An Efficient Approach to Model-Based Hierarchical Reinforcement Learning. AAAI 2017: 3583-3589 - [c65]Akshay Narayan, Zhuoru Li, Tze-Yun Leong:
SEAPoT-RL: Selective Exploration Algorithm for Policy Transfer in RL. AAAI 2017: 4975-4976 - [c64]Abhinit Kumar Ambastha, Tze-Yun Leong:
A Deep Learning Approach to Neuroanatomical Characterisation of Alzheimer's Disease. MedInfo 2017: 1249 - 2016
- [c63]Zhuoru Li, Akshay Narayan, Tze-Yun Leong:
A Core Task Abstraction Approach to Hierarchical Reinforcement Learning: (Extended Abstract). AAMAS 2016: 1411-1412 - 2015
- [c62]Parvathy Sudhir Pillai, Tze-Yun Leong:
Fusing Heterogeneous Data for Alzheimer's Disease Classification. MedInfo 2015: 731-735 - 2014
- [j7]Ruizhe Liu, Shimiao Li, Bolan Su, Chew Lim Tan, Tze-Yun Leong, Boon Chuan Pang, C. C. Tchoyoson Lim, Cheng Kiang Lee:
Automatic detection and quantification of brain midline shift using anatomical marker model. Comput. Medical Imaging Graph. 38(1): 1-14 (2014) - [c61]Truong-Huy Dinh Nguyen, Tomi Silander, Wee Sun Lee, Tze-Yun Leong:
Bootstrapping Simulation-Based Algorithms with a Suboptimal Policy. ICAPS 2014 - [c60]Bolan Su, Thien Anh Dinh, Abhinit Kumar Ambastha, Tianxia Gong, Tomi Silander, Shijian Lu, C. C. Tchoyoson Lim, Boon Chuan Pang, Cheng Kiang Lee, Tze-Yun Leong, Chew Lim Tan:
Automated Prediction of Glasgow Outcome Scale for Traumatic Brain Injury. ICPR 2014: 3245-3250 - 2013
- [c59]Tomi Silander, Tze-Yun Leong:
A Dynamic Programming Algorithm for Learning Chain Event Graphs. Discovery Science 2013: 201-216 - [c58]Trung Thanh Nguyen, Zhuoru Li, Tomi Silander, Tze-Yun Leong:
Online Feature Selection for Model-based Reinforcement Learning. ICML (1) 2013: 498-506 - [c57]Thien Anh Dinh, Tomi Silander, Bolan Su, Tianxia Gong, Boon Chuan Pang, C. C. Tchoyoson Lim, Cheng Kiang Lee, Chew Lim Tan, Tze-Yun Leong:
Unsupervised Medical Image Classification by Combining Case-Based Classifiers. MedInfo 2013: 739-743 - [c56]Dominik Aronsky, Jan L. Talmon, Reinhold Haux, Nicolette de Keizer, Tze-Yun Leong, Charles Safran, Christoph U. Lehmann:
Writing for Publication in Biomedical Informatics Journals. MedInfo 2013: 1253 - [i5]Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong:
Causal Mechanism-based Model Construction. CoRR abs/1301.3872 (2013) - [i4]Tze-Yun Leong:
Representing Context-Sensitive Knowledge in a Network Formalism: A Preliminary Report. CoRR abs/1303.5414 (2013) - [i3]Tze-Yun Leong:
Representation Requirements for Supporting Decision Model Formulation. CoRR abs/1303.5730 (2013) - 2012
- [c55]Thien Anh Dinh, Tomi Silander, C. C. Tchoyoson Lim, Tze-Yun Leong:
An automated pathological class level annotation system for volumetric brain images. AMIA 2012 - [c54]Trung Thanh Nguyen, Tomi Silander, Tze-Yun Leong:
Transferring Expectations in Model-based Reinforcement Learning. NIPS 2012: 2564-2572 - [c53]Truong-Huy Dinh Nguyen, Wee Sun Lee, Tze-Yun Leong:
Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic. ECML/PKDD (2) 2012: 164-179 - [i2]Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant:
CAPIR: Collaborative Action Planning with Intention Recognition. CoRR abs/1206.5928 (2012) - [i1]Truong-Huy Dinh Nguyen, Wee Sun Lee, Tze-Yun Leong:
Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic. CoRR abs/1206.5940 (2012) - 2011
- [c52]Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant:
CAPIR: Collaborative Action Planning with Intention Recognition. AIIDE 2011 - 2010
- [c51]Wenyuan Guo, Tze-Yun Leong:
An Analytic Characterization of Model Minimization in Factored Markov Decision Processes. AAAI 2010: 1077-1082 - [c50]Qiongyu Chen, Tze-Yun Leong:
Towards A Multi-Level Game Model for Influenza Epidemics. MedInfo 2010: 457-461 - [c49]Hong-Li Yin, Tze-Yun Leong:
A Model Driven Approach to Imbalanced Data Sampling in Medical Decision Making. MedInfo 2010: 856-860 - [c48]Shimiao Li, Tianxia Gong, Jie Wang, Ruizhe Liu, Chew Lim Tan, Tze-Yun Leong, Boon Chuan Pang, C. C. Tchoyoson Lim, Cheng Kiang Lee, Qi Tian, Zhuo Zhang:
TBIdoc: 3D content-based CT image retrieval system for traumatic brain injury. Computer-Aided Diagnosis 2010: 762427
2000 – 2009
- 2009
- [c47]Truong-Huy Dinh Nguyen, Tze-Yun Leong:
A Surprise Triggered Adaptive and Reactive (STAR) Framework for Online Adaptation in Non-stationary Environments. AIIDE 2009 - [c46]Guoliang Li, Tze-Yun Leong:
Active Learning for Causal Bayesian Network Structure with Non-symmetrical Entropy. PAKDD 2009: 290-301 - 2008
- [j6]Tze-Yun Leong, Dominik Aronsky, M. Michael Shabot:
Computer-based decision support for critical and emergency care. J. Biomed. Informatics 41(3): 409-412 (2008) - [c45]Bin Han, Guoliang Li, Tze-Yun Leong, Yanchun Zhang, Lihua Li, Wei Liu, Lei Zhu, Weidong Xu:
Identifying Causal Effects from Data for the Clinical Ventilation Process Modelling. BMEI (1) 2008: 517-521 - [c44]Tianxia Gong, Chew Lim Tan, Tze-Yun Leong, Cheng Kiang Lee, Boon Chuan Pang, C. C. Tchoyoson Lim, Qi Tian, Suisheng Tang, Zhuo Zhang:
Text Mining in Radiology Reports. ICDM 2008: 815-820 - [c43]Ruizhe Liu, Chew Lim Tan, Tze-Yun Leong, Cheng Kiang Lee, Boon Chuan Pang, C. C. Tchoyoson Lim, Qi Tian, Suisheng Tang, Zhuo Zhang:
Hemorrhage slices detection in brain CT images. ICPR 2008: 1-4 - 2007
- [c42]Guoliang Li, Tze-Yun Leong:
Biomedical Knowledge Discovery with Topological Constraints Modeling in Bayesian Networks: A Preliminary Report. MedInfo 2007: 560-565 - [c41]Qiongyu Chen, Guoliang Li, Tze-Yun Leong, Chew-Kiat Heng:
Predicting Coronary Artery Disease with Medical Profile and Gene Polymorphisms Data. MedInfo 2007: 1219-1224 - [c40]Li Lin, Limsoon Wong, Tze-Yun Leong, Pohsan Lai:
ECTracker - An Efficient Algorithm for Haplotype Analysis and Classification. MedInfo 2007: 1270-1274 - [e1]Klaus A. Kuhn, James R. Warren, Tze-Yun Leong:
MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics - Building Sustainable Health Systems, 20-24 August, 2007, Brisbane, Australia. Studies in Health Technology and Informatics 129, IOS Press 2007, ISBN 978-1-58603-774-1 [contents] - 2006
- [c39]Jiang Liu, Tze-Yun Leong, Chee Kin Ban, Boon Pin Tan, Borys Shuter, Shih-Chang Wang:
Set-based Cascading Approaches for Magnetic Resonance (MR) Image Segmentation (SCAMIS). AMIA 2006 - [c38]Rohit Joshi, Tze-Yun Leong:
Patient-Specific Inference and Situation-Dependent Classification Using Context-Sensitive Networks. AMIA 2006 - [c37]Jiang Liu, Tze-Yun Leong, Chee Kin Ban, Boon Pin Tan, Borys Shuter, Shih-Chang Wang:
A Set-based Hybrid Approach (SHA) for MRI Segmentation. ICARCV 2006: 1-6 - 2005
- [j5]Michael L. Anderson, Thomas Barkowsky, Pauline Berry, Douglas S. Blank, Timothy Chklovski, Pedro M. Domingos, Marek J. Druzdzel, Christian Freksa, John Gersh, Mary Hegarty, Tze-Yun Leong, Henry Lieberman, Ric K. Lowe, Susann LuperFoy, Rada Mihalcea, Lisa Meeden, David P. Miller, Tim Oates, Robert L. Popp, Daniel G. Shapiro, Nathan Schurr, Push Singh, John Yen:
Reports on the 2005 AAAI Spring Symposium Series. AI Mag. 26(2): 87-92 (2005) - [j4]Guoliang Li, Tze-Yun Leong, Louxin Zhang:
Translation Initiation Sites Prediction with Mixture Gaussian Models in Human cDNA Sequences. IEEE Trans. Knowl. Data Eng. 17(8): 1152-1160 (2005) - [c36]Marek J. Druzdzel, Tze-Yun Leong:
Organizing Committee. AAAI Spring Symposium: Challenges to Decision Support in a Changing World 2005 - [c35]Marek J. Druzdzel, Tze-Yun Leong:
Preface. AAAI Spring Symposium: Challenges to Decision Support in a Changing World 2005 - [c34]Chang-an Jiang, Kim-Leng Poh, Tze-Yun Leong:
Integration of Probabilistic Graphic Models for Decision Support. AAAI Spring Symposium: Challenges to Decision Support in a Changing World 2005: 40-47 - [c33]Rohit Joshi, Tze-Yun Leong:
Challenges in an Adaptive Modeling Framework for Systems Biology. AAAI Spring Symposium: Challenges to Decision Support in a Changing World 2005: 48-53 - [c32]Guoliang Li, Tze-Yun Leong:
A Framework to Learn Bayesian Network from Changing, Multiple-Source Biomedical Data. AAAI Spring Symposium: Challenges to Decision Support in a Changing World 2005: 66-72 - [c31]Chang-an Jiang, Tze-Yun Leong, Kim-Leng Poh:
Pgmc: a Framework for Probabilistic Graphical Model Combination. AMIA 2005 - [c30]Li Lin, Limsoon Wong, Tze-Yun Leong, Pohsan Lai:
LinkageTracker: A Discriminative Pattern Tracking Approach to Linkage Disequilibrium Mapping. DASFAA 2005: 30-42 - 2004
- [c29]Xiaoli Li, Rohit Joshi, Sreeram Ramachandaran, Tze-Yun Leong:
Classifying Biomedical Citations without Labeled Training Examples. ICDM 2004: 455-458 - [c28]Swee-Seong Wong, Adrian Peng Kheong Leong, Tze-Yun Leong:
Cost-Effectiveness Analysis of Colorectal Cancer Screening Strategies in Singapore: A Dynamic Decision Analytic Approach. MedInfo 2004: 104-108 - [c27]Bin Han, Tze-Yun Leong:
We Did the Right Thing: An Intervention Analysis Approach to Modeling Intervened SARS Propagation in Singapore. MedInfo 2004: 1246-1250 - [c26]Guoliang Li, Tze-Yun Leong, Louxin Zhang:
Translation Initiation Sites Prediction with Mixture Gaussian Models. WABI 2004: 338-349 - 2003
- [j3]Manish Sarkar, Tze-Yun Leong:
Characterization of medical time series using fuzzy similarity-based fractal dimensions. Artif. Intell. Medicine 27(2): 201-222 (2003) - [c25]Ai-Ling Zhu, Jian Li, Tze-Yun Leong:
Automated Knowledge Extraction for Decision Model Construction: A Data Mining Approach. AMIA 2003 - 2002
- [c24]Li Lin, Limsoon Wong, Tze-Yun Leong, Pohsan Lai:
Mining of Correlated Rules in Genome Sequences. AMIA 2002 - 2001
- [c23]Jian Li, Tze-Yun Leong:
PDL: a definition language for trend pattern representation and detection in medicine. AMIA 2001 - [c22]Manish Sarkar, Tze-Yun Leong:
Fuzzy K-means clustering with missing values. AMIA 2001 - [c21]Manish Sarkar, Tze-Yun Leong:
Application of Fuzzy Similarity-Based Fractal Dimensions to Characterize Medical Time Series. ICML 2001: 465-472 - [c20]XinZhi Qi, Tze-Yun Leong:
Constructing Influence Views from Data to Support Dynamic Decision Making in Medicine. MedInfo 2001: 1389-1393 - [c19]Manish Sarkar, Tze-Yun Leong:
Nonparametric Techniques to Extract Fuzzy Rules for Breast Cancer Diagnosis Problem. MedInfo 2001: 1394-1398 - [c18]Manish Sarkar, Tze-Yun Leong:
Top-down approaches to abstract medical time series using linear segments. SMC 2001: 765-770 - [c17]Charles Sheeba Dora, Manish Sarkar, Suman Sundaresh, David Harmanec, Tseng-Tsai Yeo, Kim-Leng Poh, Tze-Yun Leong:
Building decision support systems for treating severe head injuries. SMC 2001: 2952-2957 - 2000
- [c16]Jian Li, Tze-Yun Leong:
Using linear regression functions to abstract high-frequency data in medicine. AMIA 2000 - [c15]Manish Sarkar, Tze-Yun Leong:
Application of K-nearest neighbors algorithm on breast cancer diagnosis problem. AMIA 2000 - [c14]Fu Zhao, Tze-Yun Leong:
A data preprocessing framework for supporting probability-learning in dynamic decision modeling in medicine. AMIA 2000 - [c13]Ai-Ling Zhu, Tze-Yun Leong:
Automating Dynamic Decision Model Construction to Support Clinical Practice Guideline Development. EWGLP 2000: 133-148 - [c12]Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong:
Causal Mechanism-based Model Constructions. UAI 2000: 353-362
1990 – 1999
- 1999
- [c11]David Harmanec, Tze-Yun Leong, Suman Sundaresh, Kim-Leng Poh, Tseng-Tsai Yeo, Ivan Ng, Thomas W. Lew:
Decision analytic approach to severe head injury management. AMIA 1999 - [c10]Aik-Hiang Lau, Tze-Yun Leong:
PROBES: a framework for probability elicitation from experts. AMIA 1999 - [c9]Suman Sundaresh, Tze-Yun Leong, Peter Haddawy:
Supporting multi-level multi-perspective dynamic decision making in medicine. AMIA 1999 - 1998
- [j2]Tze-Yun Leong:
Multiple Perspective Dynamic Decision Making. Artif. Intell. 105(1-2): 209-261 (1998) - [j1]Cungen Cao, Tze-Yun Leong, Adrian Peng Kheong Leong, Francis C. Seow:
Dynamic decision analysis in medicine: a data-driven approach. Int. J. Medical Informatics 51(1): 13-28 (1998) - [c8]Cungen Cao, Tze-Yun Leong, Adrian Peng Kheong Leong:
Induction of Diagnostic Test Strategies with Multi-Level Information Measures. MedInfo 1998: 477-482 - [c7]Tze-Yun Leong, Cungen Cao:
Modelling Medical Decisions in DynaMoL: A New General Framework of Dynamic Decision Analysis. MedInfo 1998: 483-487 - [c6]Jianye Zheng, Tze-Yun Leong:
Consistency Management in Multiple Perspective Medical Decision Analysis. MedInfo 1998: 503-507 - [c5]Chenggang Wang, Tze-Yun Leong:
Knowledge-Based Formulation of Dynamic Decision Models. PRICAI 1998: 506-517 - 1997
- [c4]Cungen Cao, Tze-Yun Leong:
Learning Conditional Probabilities for Dynamic Influence Structures in Medical Decision Models. AMIA 1997 - 1996
- [c3]Tze-Yun Leong:
Multiple Perspective Reasoning. KR 1996: 562-573 - 1994
- [b1]Tze-Yun Leong:
An integrated approach to dynamic decision making under uncertainty. Massachusetts Institute of Technology, Cambridge, MA, USA, 1994 - 1992
- [c2]Tze-Yun Leong:
Representing Context-Sensitive Knowledge in a Network Formalism: A Preliminary Report. UAI 1992: 166-173 - 1991
- [c1]Tze-Yun Leong:
Representation Requirements for Supporting Decision Model Formulation. UAI 1991: 212-219
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-22 00:07 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
