default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTanja Käser
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
[j9]Tanja Käser
, Giora Alexandron:
Simulated Learners in Educational Technology: A Systematic Literature Review and a Turing-like Test. Int. J. Artif. Intell. Educ. 34(2): 545-585 (2024)- [c49]Paola Mejia-Domenzain, Tanya Nazaretsky, Simon Schultze, Jan Hochweber, Tanja Käser:
Navigating Self-regulated Learning Dimensions: Exploring Interactions Across Modalities. AIED (2) 2024: 104-118 - [c48]Ethan Prihar, Bahar Radmehr, Tanja Käser:
An Interpretable Approach to Identify Performance Indicators Within Unstructured Learning Environments. AIED Companion (1) 2024: 356-363 - [c47]Isadora Salles, Paola Mejia-Domenzain, Vinitra Swamy, Julian Blackwell, Tanja Käser:
Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection. AIED Companion (1) 2024: 382-390 - [c46]Ekaterina Shved, Engin Bumbacher, Paola Mejia-Domenzain, Manu Kapur, Tanja Käser:
Teaching and Measuring Multidimensional Inquiry Skills Using Interactive Simulations. AIED (1) 2024: 482-496 - [c45]Richard Lee Davis, Thiemo Wambsganss, Wei Jiang, Kevin Gonyop Kim, Tanja Käser, Pierre Dillenbourg:
Fashioning Creative Expertise with Generative AI: Graphical Interfaces for Design Space Exploration Better Support Ideation Than Text Prompts. CHI 2024: 167:1-167:26 - [c44]Aybars Yazici, Paola Mejia-Domenzain, Jibril Frej, Tanja Käser:
GELEX: Generative AI-Hybrid System for Example-Based Learning. CHI Extended Abstracts 2024: 171:1-171:10 - [c43]Tanya Nazaretsky, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser:
AI or Human? Evaluating Student Feedback Perceptions in Higher Education. EC-TEL (1) 2024: 284-298 - [c42]Jade Maï Cock, Hugues Saltini, Haoyu Sheng, Riya Ranjan, Richard Davis, Tanja Käser:
Investigation of behavioral Differences: Uncovering Behavioral Sources of Demographic Bias in Educational Algorithms. EDM 2024 - [c41]Elena Grazia Gado, Tommaso Martorella, Luca Zunino, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser:
Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning. EDM 2024 - [c40]Neil T. Heffernan, Rose E. Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew Lan, Lan Jiang, Mingyu Feng, Tanja Käser, Eamon Worden:
Leveraging Large Language Models for Next-Generation Educational Technologies. EDM 2024 - [c39]Seyed Parsa Neshaei, Richard Lee Davis, Adam Hazimeh, Bojan Lazarevski, Pierre Dillenbourg, Tanja Käser:
Towards Modeling Learner Performance with Large Language Models. EDM 2024 - [c38]Juan Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu, Lea Cohausz:
Human-Centric eXplainable AI in Education (HEXED) Workshop. EDM 2024 - [c37]Bahar Radmehr, Adish Singla, Tanja Käser:
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs. EDM 2024 - [c36]Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut:
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models. EMNLP 2024: 12082-12104 - [c35]Jibril Frej, Neel Shah, Marta Knezevic, Tanya Nazaretsky, Tanja Käser:
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective. LAK 2024: 426-437 - [c34]Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser:
Course Recommender Systems Need to Consider the Job Market. SIGIR 2024: 522-532 - [i27]Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja Käser, Steven Moore, Anna N. Rafferty, Adish Singla:
Generative AI for Education (GAIED): Advances, Opportunities, and Challenges. CoRR abs/2402.01580 (2024) - [i26]Vinitra Swamy, Julian Blackwell, Jibril Frej, Martin Jaggi, Tanja Käser:
InterpretCC: Conditional Computation for Inherently Interpretable Neural Networks. CoRR abs/2402.02933 (2024) - [i25]Seyed Parsa Neshaei, Richard Lee Davis, Adam Hazimeh, Bojan Lazarevski, Pierre Dillenbourg, Tanja Käser:
Towards Modeling Learner Performance with Large Language Models. CoRR abs/2403.14661 (2024) - [i24]Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser:
Course Recommender Systems Need to Consider the Job Market. CoRR abs/2404.10876 (2024) - [i23]Bahar Radmehr, Adish Singla, Tanja Käser:
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs. CoRR abs/2404.18978 (2024) - [i22]Elena Grazia Gado, Tommaso Martorella, Luca Zunino, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser:
Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning. CoRR abs/2405.20079 (2024) - [i21]Jibril Frej, Marta Knezevic, Tanja Käser:
Graph Reasoning for Explainable Cold Start Recommendation. CoRR abs/2406.07420 (2024) - [i20]Isadora Salles, Paola Mejia-Domenzain, Vinitra Swamy, Julian Blackwell, Tanja Käser:
Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection. CoRR abs/2407.11979 (2024) - [i19]Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Silvio Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut:
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. CoRR abs/2408.11841 (2024) - [i18]Lucile Favero, Juan Antonio Pérez-Ortiz, Tanja Käser, Nuria Oliver:
Enhancing Critical Thinking in Education by means of a Socratic Chatbot. CoRR abs/2409.05511 (2024) - [i17]Vinitra Swamy, Davide Romano, Bhargav Srinivasa Desikan, Oana-Maria Camburu, Tanja Käser:
From Explanations to Action: A Zero-Shot, Theory-Driven LLM Framework for Student Performance Feedback. CoRR abs/2409.08027 (2024) - 2023
- [j8]Karen D. Wang, Jade Maï Cock, Tanja Käser, Engin Bumbacher:
A systematic review of empirical studies using log data from open-ended learning environments to measure science and engineering practices. Br. J. Educ. Technol. 54(1): 192-221 (2023) - [c33]Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Tuan Tu Vignoud, Mirko Marras, Tanja Käser:
Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. AAAI 2023: 15903-15911 - [c32]Jade Maï Cock, Ido Roll, Tanja Käser:
Consistency of Inquiry Strategies Across Subsequent Activities in Different Domains. AIED (Posters/Late Breaking Results/...) 2023: 224-229 - [c31]Paola Mejia-Domenzain, Eva Laini, Seyed Parsa Neshaei, Thiemo Wambsganss, Tanja Käser:
Visualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers. AIED (Posters/Late Breaking Results/...) 2023: 619-624 - [c30]Xiaotian Su, Thiemo Wambsganss, Roman Rietsche, Seyed Parsa Neshaei, Tanja Käser:
Reviewriter: AI-Generated Instructions For Peer Review Writing. BEA@ACL 2023: 57-71 - [c29]Richard Lee Davis, Thiemo Wambsganss, Wei Jiang, Kevin Gonyop Kim, Tanja Käser, Pierre Dillenbourg:
Fashioning the Future: Unlocking the Creative Potential of Deep Generative Models for Design Space Exploration. CHI Extended Abstracts 2023: 136:1-136:9 - [c28]Luca Mouchel, Thiemo Wambsganss, Paola Mejia-Domenzain, Tanja Käser:
Understanding Revision Behavior in Adaptive Writing Support Systems for Education. EDM 2023 - [c27]Thiemo Wambsganss, Xiaotian Su, Vinitra Swamy, Seyed Parsa Neshaei, Roman Rietsche, Tanja Käser:
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance. EMNLP (Findings) 2023: 10275-10288 - [c26]Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Käser:
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. LAK 2023: 345-356 - [c25]Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras:
Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning. LAK 2023: 441-452 - [c24]Jade Maï Cock, Muhammad Bilal, Richard Davis, Mirko Marras, Tanja Käser:
Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling. LAK 2023: 488-498 - [c23]Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley:
MultiMoDN - Multimodal, Multi-Task, Interpretable Modular Networks. NeurIPS 2023 - [c22]Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras:
How Close are Predictive Models to Teachers in Detecting Learners at Risk? UMAP 2023: 135-145 - [e2]Mingyu Feng, Tanja Käser, Partha P. Talukdar, Rakesh Agrawal, Y. Narahari, Mykola Pechenizkiy:
Proceedings of the 16th International Conference on Educational Data Mining, EDM 2023, Bengaluru, India, July 11-14, 2023. International Educational Data Mining Society 2023 [contents] - [i16]Paola Mejia-Domenzain, Eva Laini, Seyed Parsa Neshaei, Thiemo Wambsganss, Tanja Käser:
Visualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers. CoRR abs/2305.16851 (2023) - [i15]Luca Mouchel, Thiemo Wambsganss, Paola Mejia-Domenzain, Tanja Käser:
Understanding Revision Behavior in Adaptive Writing Support Systems for Education. CoRR abs/2306.10304 (2023) - [i14]Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut:
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models. CoRR abs/2307.00279 (2023) - [i13]Vinitra Swamy, Jibril Frej, Tanja Käser:
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations. CoRR abs/2307.00364 (2023) - [i12]Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley:
MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks. CoRR abs/2309.14118 (2023) - [i11]Thiemo Wambsganss, Xiaotian Su, Vinitra Swamy, Seyed Parsa Neshaei, Roman Rietsche, Tanja Käser:
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance. CoRR abs/2311.03311 (2023) - [i10]Jibril Frej, Neel Shah, Marta Knezevic, Tanya Nazaretsky, Tanja Käser:
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective. CoRR abs/2312.10082 (2023) - 2022
- [j7]Thiemo Wambsganss, Andreas Janson, Tanja Käser, Jan Marco Leimeister:
Improving Students Argumentation Learning with Adaptive Self-Evaluation Nudging. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-31 (2022) - [j6]Thiemo Wambsganss, Naim Zierau, Matthias Söllner, Tanja Käser, Kenneth R. Koedinger, Jan Marco Leimeister:
Designing Conversational Evaluation Tools: A Comparison of Text and Voice Modalities to Improve Response Quality in Course Evaluations. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-27 (2022) - [j5]Paola Mejia-Domenzain, Mirko Marras, Christian Giang, Alberto A. P. Cattaneo, Tanja Käser:
Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals. IEEE Trans. Learn. Technol. 15(5): 579-593 (2022) - [c21]Paola Mejia-Domenzain, Mirko Marras, Christian Giang, Tanja Käser:
Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms. AIED (1) 2022: 90-102 - [c20]Thiemo Wambsganss, Vinitra Swamy, Roman Rietsche, Tanja Käser:
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling. COLING 2022: 1344-1356 - [c19]Jade Maï Cock, Mirko Marras, Christian Giang, Tanja Käser:
Generalisable Methods for Early Prediction in Interactive Simulations for Education. EDM 2022 - [c18]Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Käser:
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs. EDM 2022 - [c17]Vinitra Swamy, Mirko Marras, Tanja Käser:
Meta Transfer Learning for Early Success Prediction in MOOCs. L@S 2022: 121-132 - [i9]Vinitra Swamy, Mirko Marras, Tanja Käser:
Meta Transfer Learning for Early Success Prediction in MOOCs. CoRR abs/2205.01064 (2022) - [i8]Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Käser:
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs. CoRR abs/2207.00551 (2022) - [i7]Jade Maï Cock, Mirko Marras, Christian Giang, Tanja Käser:
Generalisable Methods for Early Prediction in Interactive Simulations for Education. CoRR abs/2207.01457 (2022) - [i6]Thiemo Wambsganss, Vinitra Swamy, Roman Rietsche, Tanja Käser:
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling. CoRR abs/2209.10335 (2022) - [i5]Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Tuan Tu Vignoud, Mirko Marras, Tanja Käser:
Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. CoRR abs/2212.01133 (2022) - [i4]Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras:
Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning. CoRR abs/2212.08532 (2022) - [i3]Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Käser:
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. CoRR abs/2212.08955 (2022) - [i2]Jade Maï Cock, Muhammad Bilal, Richard Davis, Mirko Marras, Tanja Käser:
Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling. CoRR abs/2212.10166 (2022) - 2021
- [c16]Jade Cock, Mirko Marras, Christian Giang, Tanja Käser:
Early Prediction of Conceptual Understanding in Interactive Simulations. EDM 2021 - [c15]Mirko Marras, Julien Tuan Tu Vignoud, Tanja Käser:
Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses. EDM 2021 - [c14]Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack:
Designing Intelligent Systems for Online Education: Open Challenges and Future Directions. L2D@WSDM 2021: 57-64 - [c13]Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack:
L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web. WSDM 2021: 1165-1166 - [e1]Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack:
Proceedings of the First International Workshop on Enabling Data-Driven Decisions from Learning on the Web co-located with the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021), Jerusalem, Israel, March 12, 2021 - moved online. CEUR Workshop Proceedings 2876, CEUR-WS.org 2021 [contents] - 2020
- [j4]Tanja Käser, Daniel L. Schwartz:
Modeling and Analyzing Inquiry Strategies in Open-Ended Learning Environments. Int. J. Artif. Intell. Educ. 30(3): 504-535 (2020)
2010 – 2019
- 2019
- [c12]Tanja Käser, Daniel L. Schwartz:
Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments. EDM 2019 - 2018
- [i1]Barbara Solenthaler, Severin Klingler, Tanja Käser, Markus H. Gross:
Ten Years of Research on Intelligent Educational Games for Learning Spelling and Mathematics. CoRR abs/1806.03257 (2018) - 2017
- [j3]Tanja Käser, Severin Klingler, Alexander G. Schwing, Markus H. Gross:
Dynamic Bayesian Networks for Student Modeling. IEEE Trans. Learn. Technol. 10(4): 450-462 (2017) - [c11]Severin Klingler, Rafael Wampfler, Tanja Käser, Barbara Solenthaler, Markus H. Gross:
Efficient Feature Embeddings for Student Classification with Variational Auto-encoders. EDM 2017 - [c10]Tanja Käser, Nicole R. Hallinen, Daniel L. Schwartz:
Modeling exploration strategies to predict student performance within a learning environment and beyond. LAK 2017: 31-40 - 2016
- [c9]Severin Klingler, Tanja Käser, Barbara Solenthaler, Markus H. Gross:
Temporally Coherent Clustering of Student Data. EDM 2016: 102-109 - [c8]Severin Klingler, Tanja Käser, Alberto Giovanni Busetto, Barbara Solenthaler, Juliane Kohn, Michael von Aster, Markus H. Gross:
Stealth Assessment in ITS - A Study for Developmental Dyscalculia. ITS 2016: 79-89 - [c7]Tanja Käser, Severin Klingler, Markus H. Gross:
When to stop?: towards universal instructional policies. LAK 2016: 289-298 - 2015
- [c6]Severin Klingler, Tanja Käser, Barbara Solenthaler, Markus H. Gross:
On the Performance Characteristics of Latent-Factor and Knowledge Tracing Models. EDM 2015: 37-44 - 2014
- [b1]Tanja Käser:
Modeling and Optimizing Computer-Assisted Mathematics Learning in Children. ETH Zurich, Zürich, Switzerland, 2014 - [c5]Tanja Käser, Alexander G. Schwing, Tamir Hazan, Markus H. Gross:
Computational Education using Latent Structured Prediction. AISTATS 2014: 540-548 - [c4]Tanja Käser, Kenneth R. Koedinger, Markus H. Gross:
Different parameters - same prediction: An analysis of learning curves. EDM 2014: 52-59 - [c3]Tanja Käser, Severin Klingler, Alexander G. Schwing, Markus H. Gross:
Beyond Knowledge Tracing: Modeling Skill Topologies with Bayesian Networks. Intelligent Tutoring Systems 2014: 188-198 - 2013
- [j2]Tanja Käser, Gian-Marco Baschera, Alberto Giovanni Busetto, Severin Klingler, Barbara Solenthaler, Joachim M. Buhmann, Markus H. Gross:
Towards a Framework for Modelling Engagement Dynamics in Multiple Learning Domains. Int. J. Artif. Intell. Educ. 22(1-2): 59-83 (2013) - [j1]Tanja Käser, Alberto Giovanni Busetto, Barbara Solenthaler, Gian-Marco Baschera, Juliane Kohn, Karin Kucian, Michael von Aster, Markus H. Gross:
Modelling and Optimizing Mathematics Learning in Children. Int. J. Artif. Intell. Educ. 23(1-4): 115-135 (2013) - [c2]Tanja Käser, Alberto Giovanni Busetto, Barbara Solenthaler, Juliane Kohn, Michael von Aster, Markus H. Gross:
Cluster-Based Prediction of Mathematical Learning Patterns. AIED 2013: 389-399 - 2012
- [c1]Tanja Käser, Alberto Giovanni Busetto, Gian-Marco Baschera, Juliane Kohn, Karin Kucian, Michael von Aster, Markus H. Gross:
Modelling and Optimizing the Process of Learning Mathematics. ITS 2012: 389-398
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 2024-11-15 19:34 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:
