default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJaakko Hollmén
Person information
- affiliation: Aalto University, Finland
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c75]Guilherme Dinis Junior
, Sindri Magnússon, Jaakko Hollmén:
Policy Control with Delayed, Aggregate, and Anonymous Feedback. ECML/PKDD (6) 2024: 389-406- 2023
- [c74]Mahbub Ul Alam, Jaakko Hollmén, Rahim Rahmani:
COVID-19 detection from thermal image and tabular medical data utilizing multi-modal machine learning. CBMS 2023: 646-653 - [c73]Maria Movin, Guilherme Dinis Junior, Jaakko Hollmén, Panagiotis Papapetrou:
Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies. IDA 2023: 314-326 - [i5]Serio Agriesti, Vladimir Kuzmanovski, Jaakko Hollmén, Claudio Roncoli, Bat-hen Nahmias-Biran:
A Bayesian Optimization approach for calibrating large-scale activity-based transport models. CoRR abs/2302.03480 (2023) - [i4]Mahbub Ul Alam, Jaakko Hollmén, Jón Rúnar Baldvinsson, Rahim Rahmani:
SHAMSUL: Simultaneous Heatmap-Analysis to investigate Medical Significance Utilizing Local interpretability methods. CoRR abs/2307.08003 (2023) - 2022
- [c72]Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino, David Pitts, Jaakko Hollmén, Panagiotis Papapetrou:
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction. CBMS 2022: 32-37 - [c71]Guilherme Dinis Junior, Sindri Magnússon, Jaakko Hollmén:
Policy Evaluation with Delayed, Aggregated Anonymous Feedback. DS 2022: 114-123 - [c70]Vladimir Kuzmanovski, Jaakko Hollmén:
Semi-parametric Approach to Random Forests for High-Dimensional Bayesian Optimisation. DS 2022: 418-428 - [c69]Miki Sirola, Olli-Pekka Rinta-Koski, Le Ngu Nguyen, Jaakko Hollmén:
Principal Component Analysis Visualizations in State Discovery by Animating Exploration Results. SMARTCOMP 2022: 257-262 - [i3]Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino, David Pitts, Jaakko Hollmén, Panagiotis Papapetrou:
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction. CoRR abs/2205.15104 (2022) - 2021
- [c68]Olli-Pekka Rinta-Koski, Miki Sirola, Le Ngu Nguyen, Jaakko Hollmén:
State Discovery and Prediction from Multivariate Sensor Data. AALTD@ECML/PKDD 2021: 155-169 - [c67]Luis Quintero, Panagiotis Papapetrou, Jaakko Hollmén, Uno Fors:
Effective Classification of Head Motion Trajectories in Virtual Reality Using Time-Series Methods. AIVR 2021: 38-46 - [c66]Vladimir Kuzmanovski, Jaakko Hollmén:
Composite Surrogate for Likelihood-Free Bayesian Optimisation in High-Dimensional Settings of Activity-Based Transportation Models. IDA 2021: 171-183 - 2020
- [j17]Joel Jaskari, Janne Myllärinen, Markus Leskinen, Ali Bahrami Rad, Jaakko Hollmén, Sture Andersson, Simo Särkkä:
Machine Learning Methods for Neonatal Mortality and Morbidity Classification. IEEE Access 8: 123347-123358 (2020) - [c65]Maria Bampa, Panagiotis Papapetrou, Jaakko Hollmén:
A Clustering Framework for Patient Phenotyping with Application to Adverse Drug Events. CBMS 2020: 177-182 - [c64]Emma Briggs, Jaakko Hollmén:
Mitigating Discrimination in Clinical Machine Learning Decision Support Using Algorithmic Processing Techniques. DS 2020: 19-33
2010 – 2019
- 2019
- [c63]Vladimir Kuzmanovski, Mika Sulkava, Taru Palosuo, Jaakko Hollmén:
Temporal Analysis of Adverse Weather Conditions Affecting Wheat Production in Finland. DS 2019: 176-185 - [c62]Jaakko Hollmén, Panagiotis Papapetrou:
Clustering Diagnostic Profiles of Patients. AIAI 2019: 120-126 - 2018
- [j16]Olli-Pekka Rinta-Koski, Simo Särkkä, Jaakko Hollmén, Markus Leskinen, Sture Andersson:
Gaussian process classification for prediction of in-hospital mortality among preterm infants. Neurocomputing 298: 134-141 (2018) - [j15]Roelant A. Stegmann, Indre Zliobaite, Tuukka Tolvanen, Jaakko Hollmén, Jesse Read:
A survey of evaluation methods for personal route and destination prediction from mobility traces. WIREs Data Mining Knowl. Discov. 8(2) (2018) - [c61]Jaakko Hollmén, Lars Asker, Isak Karlsson, Panagiotis Papapetrou, Henrik Boström, Birgitta Norstedt Wikner, Inger Öhman:
Exploring epistaxis as an adverse effect of anti-thrombotic drugs and outdoor temperature. PETRA 2018: 1-4 - [c60]Teemu Lehto, Markku Hinkka, Jaakko Hollmén:
Analyzing Business Process Changes Using Influence Analysis. SIMPDA 2018: 32-46 - [e6]Jaakko Hollmén, Carolyn McGregor, Paolo Soda, Bridget Kane:
31st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2018, Karlstad, Sweden, June 18-21, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-6060-7 [contents] - 2017
- [j14]Jukka Teittinen, Markus Hiienkari, Indre Zliobaite, Jaakko Hollmén, Heikki Berg, Juha Heiskala, Timo Viitanen, Jesse Simonsson, Lauri Koskinen:
A 5.3 pJ/op approximate TTA VLIW tailored for machine learning. Microelectron. J. 61: 106-113 (2017) - [j13]Jesse Read, Luca Martino, Jaakko Hollmén:
Multi-label methods for prediction with sequential data. Pattern Recognit. 63: 45-55 (2017) - [c59]Olli-Pekka Rinta-Koski, Simo Särkkä, Jaakko Hollmén, Markus Leskinen, Sture Andersson:
Prediction of preterm infant mortality with Gaussian process classification. ESANN 2017 - [c58]Alexandr V. Maslov, Mykola Pechenizkiy, Yulong Pei, Indre Zliobaite, Alexander Shklyaev, Tommi Kärkkäinen, Jaakko Hollmén:
BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints. IJCNN 2017: 1916-1923 - [c57]Mikko Rinne, Mehrdad Bagheri, Tuukka Tolvanen, Jaakko Hollmén:
Automatic Recognition of Public Transport Trips from Mobile Device Sensor Data and Transport Infrastructure Information. PAP@PKDD/ECML 2017: 76-97 - [c56]Teemu Lehto, Markku Hinkka, Jaakko Hollmén:
Focusing Business Process Lead Time Improvements Using Influence Analysis. SIMPDA 2017: 54-67 - [e5]Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10534, Springer 2017, ISBN 978-3-319-71248-2 [contents] - [e4]Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10535, Springer 2017, ISBN 978-3-319-71245-1 [contents] - 2016
- [j12]Jesse Read, Indre Zliobaite, Jaakko Hollmén:
Labeling sensing data for mobility modeling. Inf. Syst. 57: 207-222 (2016) - [j11]Prem Raj Adhikari, Anze Vavpetic, Jan Kralj, Nada Lavrac, Jaakko Hollmén:
Explaining mixture models through semantic pattern mining and banded matrix visualization. Mach. Learn. 105(1): 3-39 (2016) - [c55]Teemu Lehto, Markku Hinkka, Jaakko Hollmén:
Focusing Business Improvements Using Process Mining Based Influence Analysis. BPM (Forum) 2016: 177-192 - [c54]Daniel Vieira, Jaakko Hollmén:
Resource Frequency Prediction in Healthcare: Machine Learning Approach. CBMS 2016: 88-93 - [i2]Jesse Read, Luca Martino, Jaakko Hollmén:
Multi-label Methods for Prediction with Sequential Data. CoRR abs/1609.08349 (2016) - 2015
- [j10]Prem Raj Adhikari, Jaakko Hollmén:
Fast progressive training of mixture models for model selection. J. Intell. Inf. Syst. 44(2): 223-241 (2015) - [j9]Indre Zliobaite, Jaakko Hollmén:
Optimizing regression models for data streams with missing values. Mach. Learn. 99(1): 47-73 (2015) - [c53]Prem Raj Adhikari, Jaakko Hollmén:
Resolution Transfer in Cancer Classification Based on Amplification Patterns. Discovery Science 2015: 1-8 - [c52]Olli-Pekka Rinta-Koski, Jaakko Hollmén, Markus Leskinen, Sture Andersson:
Variation in oxygen saturation measurements in very low birth weight infants. PETRA 2015: 29:1-29:3 - [i1]Jesse Read, Jaakko Hollmén:
Multi-label Classification using Labels as Hidden Nodes. CoRR abs/1503.09022 (2015) - 2014
- [j8]Indre Zliobaite, Jaakko Hollmén, Lauri Koskinen, Jukka Teittinen:
Towards Hardware-driven Design of Low-energy Algorithms for Data Analysis. SIGMOD Rec. 43(4): 15-20 (2014) - [c51]Prem Raj Adhikari, Anze Vavpetic, Jan Kralj, Nada Lavrac, Jaakko Hollmén:
Explaining Mixture Models through Semantic Pattern Mining and Banded Matrix Visualization. Discovery Science 2014: 1-12 - [c50]Indre Zliobaite, Jaakko Hollmén:
Mobile Sensing Data for Urban Mobility Analysis: A Case Study in Preprocessing. EDBT/ICDT Workshops 2014: 309-314 - [c49]Konsta Sirvio, Jaakko Hollmén:
Multi-Step Ahead Forecasting of Road Condition Using Least Squares Support Vector Regression. ESANN 2014 - [c48]Jesse Read, Jaakko Hollmén:
A Deep Interpretation of Classifier Chains. IDA 2014: 251-262 - [c47]Panos Sakkos, Dimitrios Kotsakos, Vana Kalogeraki, Dimitrios Gunopulos, Jaakko Hollmén:
Defining a mobile architecture for structural health monitoring. PETRA 2014: 64:1-64:4 - 2013
- [c46]Daniel Vieira, Jari Linden, Jaakko Hollmén, Jorma Suni:
Challenges in predicting community periodontal index from hospital dental care records. CBMS 2013: 107-112 - [c45]Prem Raj Adhikari, Jaakko Hollmén:
Mixture Models from Multiresolution 0-1 Data. Discovery Science 2013: 1-16 - [c44]Indre Zliobaite, Jaakko Hollmén:
Fault Tolerant Regression for Sensor Data. ECML/PKDD (1) 2013: 449-464 - 2012
- [j7]Miguel A. Prada, Janne Toivola, Jyrki Kullaa, Jaakko Hollmén:
Three-way analysis of structural health monitoring data. Neurocomputing 80: 119-128 (2012) - [j6]Alexios Kotsifakos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos, Vassilis Athitsos, George Kollios:
Hum-a-song: A Subsequence Matching with Gaps-Range-Tolerances Query-By-Humming System. Proc. VLDB Endow. 5(12): 1930-1933 (2012) - [c43]Prem Raj Adhikari, Jaakko Hollmén:
Fast Progressive Training of Mixture Models for Model Selection. Discovery Science 2012: 194-208 - [c42]Alexios Kotsifakos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos, Vassilis Athitsos:
A survey of query-by-humming similarity methods. PETRA 2012: 5 - [c41]Panagiotis Papapetrou, Tatiana Chistiakova, Jaakko Hollmén, Vana Kalogeraki, Dimitrios Gunopulos:
Finding representative objects using link analysis ranking. PETRA 2012: 6 - [c40]Jaakko Hollmén:
Mixture modeling of gait patterns from sensor data. PETRA 2012: 48 - [c39]Prem Raj Adhikari, Jaakko Hollmén:
Multiresolution Mixture Modeling using Merging of Mixture Components. ACML 2012: 17-32 - [e3]Jaakko Hollmén, Frank Klawonn, Allan Tucker:
Advances in Intelligent Data Analysis XI - 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012. Proceedings. Lecture Notes in Computer Science 7619, Springer 2012, ISBN 978-3-642-34155-7 [contents] - 2011
- [j5]Alexios Kotsifakos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos:
A Subsequence Matching with Gaps-Range-Tolerances Framework: A Query-By-Humming Application. Proc. VLDB Endow. 4(11): 761-771 (2011) - [c38]Konsta Sirvio, Jaakko Hollmén:
Forecasting Road Condition after Maintenance Works by Linear Methods and Radial Basis Function Networks. ICANN (2) 2011: 405-412 - [c37]Maurizio Bocca, Janne Toivola, Lasse M. Eriksson, Jaakko Hollmén, Heikki N. Koivo:
Structural Health Monitoring in Wireless Sensor Networks by the Embedded Goertzel Algorithm. ICCPS 2011: 206-214 - [c36]Janne Toivola, Jaakko Hollmén:
Collaborative Filtering for Coordinated Monitoring in Sensor Networks. ICDM Workshops 2011: 987-994 - [c35]Serafín Alonso, Manuel Domínguez-González, Miguel A. Prada, Mika Sulkava, Jaakko Hollmén:
Comparative Analysis of Power Consumption in University Buildings Using envSOM. IDA 2011: 10-21 - [c34]Mark J. Brewer, Mika Sulkava, Harri Mäkinen, Mikko Korpela, Pekka Nöjd, Jaakko Hollmén:
Logistic Fitting Method for Detecting Onset and Cessation of Tree Stem Radius Increase. IDEAL 2011: 204-211 - [c33]Alexios Kotsifakos, Vassilis Athitsos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos:
Model-based search in large time series databases. PETRA 2011: 36 - [c32]Orestis Kostakis, Panagiotis Papapetrou, Jaakko Hollmén:
Distance measure for querying sequences of temporal intervals. PETRA 2011: 40 - [c31]Orestis Kostakis, Panagiotis Papapetrou, Jaakko Hollmén:
ARTEMIS: Assessing the Similarity of Event-Interval Sequences. ECML/PKDD (2) 2011: 229-244 - [c30]Prem Raj Adhikari, Bimal Babu Upadhyaya, Chen Meng, Jaakko Hollmén:
Gene Selection in Time-Series Gene Expression Data. PRIB 2011: 145-156 - [c29]Serafín Alonso, Mika Sulkava, Miguel A. Prada, Manuel Domínguez-González, Jaakko Hollmén:
EnvSOM: A SOM Algorithm Conditioned on the Environment for Clustering and Visualization. WSOM 2011: 61-70 - [e2]Tapio Elomaa, Jaakko Hollmén, Heikki Mannila:
Discovery Science - 14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings. Lecture Notes in Computer Science 6926, Springer 2011, ISBN 978-3-642-24476-6 [contents] - [e1]João Gama, Elizabeth Bradley, Jaakko Hollmén:
Advances in Intelligent Data Analysis X - 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings. Lecture Notes in Computer Science 7014, Springer 2011, ISBN 978-3-642-24799-6 [contents] - 2010
- [j4]Mikko Korpela, Harri Mäkinen, Pekka Nöjd, Jaakko Hollmén, Mika Sulkava:
Automatic detection of onset and cessation of tree stem radius increase using dendrometer data. Neurocomputing 73(10-12): 2039-2046 (2010) - [c28]Janne Toivola, Miguel A. Prada, Jaakko Hollmén:
Novelty Detection in Projected Spaces for Structural Health Monitoring. IDA 2010: 208-219 - [c27]Konsta Sirvio, Jaakko Hollmén:
Multi-year network level road maintenance programming by genetic algorithms and variable neighbourhood search. ITSC 2010: 581-586 - [c26]Jefrey Lijffijt, Panagiotis Papapetrou, Jaakko Hollmén:
Tracking your steps on the track: body sensor recordings of a controlled walking experiment. PETRA 2010 - [c25]Jefrey Lijffijt, Panagiotis Papapetrou, Jaakko Hollmén, Vassilis Athitsos:
Benchmarking dynamic time warping for music retrieval. PETRA 2010 - [c24]Prem Raj Adhikari, Jaakko Hollmén:
Preservation of Statistically Significant Patterns in Multiresolution 0-1 Data. PRIB 2010: 86-97
2000 – 2009
- 2009
- [c23]Janne Toivola, Jaakko Hollmén:
Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring. IDA 2009: 213-224 - 2008
- [j3]Jarkko Tikka, Jaakko Hollmén:
Sequential input selection algorithm for long-term prediction of time series. Neurocomputing 71(13-15): 2604-2615 (2008) - [c22]Mikko Korpela, Harri Mäkinen, Mika Sulkava, Pekka Nöjd, Jaakko Hollmén:
Smoothed Prediction of the Onset of Tree Stem Radius Increase Based on Temperature Patterns. Discovery Science 2008: 100-111 - [c21]Jarkko Tikka, Jaakko Hollmén:
Selection of important input variables for RBF network using partial derivatives. ESANN 2008: 167-172 - [c20]Konsta Sirvio, Jaakko Hollmén:
Spatio-temporal Road Condition Forecasting with Markov Chains and Artificial Neural Networks. HAIS 2008: 204-211 - 2007
- [j2]Mika Sulkava, Sebastiaan Luyssaert, Pasi Rautio, Ivan A. Janssens, Jaakko Hollmén:
Modeling the effects of varying data quality on trend detection in environmental monitoring. Ecol. Informatics 2(2): 167-176 (2007) - [c19]Jaakko Hollmén:
Model Selection and Estimation Via Subjective User Preferences. Discovery Science 2007: 259-263 - [c18]Robert Gwadera, Janne Toivola, Jaakko Hollmén:
Segmenting Multi-attribute Sequences Using Dynamic Bayesian Networks. ICDM Workshops 2007: 465-470 - [c17]Jaakko Hollmén, Jarkko Tikka:
Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions. IDA 2007: 1-12 - [c16]Jarkko Tikka, Jaakko Hollmén, Samuel Myllykangas:
Mixture Modeling of DNA Copy Number Amplification Patterns in Cancer. IWANN 2007: 972-979 - 2006
- [c15]Antti Rasinen, Jaakko Hollmén, Heikki Mannila:
Analysis of Linux Evolution Using Aligned Source Code Segments. Discovery Science 2006: 209-218 - [c14]Jarkko Tikka, Amaury Lendasse, Jaakko Hollmén:
Analysis of Fast Input Selection: Application in Time Series Prediction. ICANN (2) 2006: 161-170 - 2005
- [c13]Mika Sulkava, Pasi Rautio, Jaakko Hollmén:
Combining Measurement Quality into Monitoring Trends in Foliar Nutrient Concentrations. ICANN (2) 2005: 761-767 - [c12]Peddinti V. Gopalacharyulu, Erno Lindfors, Catherine Bounsaythip, Teemu Kivioja, Laxman Yetukuri, Jaakko Hollmén, Matej Oresic:
Data integration and visualization system for enabling conceptual biology. ISMB (Supplement of Bioinformatics) 2005: 177-185 - [c11]Jarkko Tikka, Jaakko Hollmén, Amaury Lendasse:
Input Selection for Long-Term Prediction of Time Series. IWANN 2005: 1002-1009 - 2004
- [p1]Artur Bykowski, Jouni K. Seppänen, Jaakko Hollmén:
Model-Independent Bounding of the Supports of Boolean Formulae in Binary Data. Database Support for Data Mining Applications 2004: 234-249 - 2003
- [c10]Jaakko Hollmén, Jouni K. Seppänen, Heikki Mannila:
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data. SDM 2003: 289-293 - 2002
- [c9]Salla Ruosaari, Jaakko Hollmén:
Image Analysis for Detecting Faulty Spots from Microarray Images. Discovery Science 2002: 259-266 - [c8]Artur Bykowski, Jouni K. Seppänen, Jaakko Hollmén:
Model-independent Bounding of the Supports of Boolean Formulae in Binary Data. KDID 2002: 20-31 - 2001
- [c7]Juha Vesanto, Jaakko Hollmén:
An Automated Report Generation Tool for the Data Understanding Phase. HIS 2001: 611-625 - 2000
- [b1]Jaakko Hollmén:
User profiling and classification for fraud detection in mobile communications networks. Aalto University, Espoo, Helsinki, Finland, 2000 - [c6]Jaakko Hollmén, Volker Tresp:
A hidden Markov model for metric and event-based data. EUSIPCO 2000: 1-4 - [c5]Jaakko Hollmén, Volker Tresp, Olli Simula:
A learning vector quantization algorithm for probabilistic models. EUSIPCO 2000: 1-4 - [c4]Michal Skubacz, Jaakko Hollmén:
Quantization of Continuous Input Variables for Binary Classification. IDEAL 2000: 42-47
1990 – 1999
- 1999
- [j1]Esa Alhoniemi, Jaakko Hollmén, Olli Simula, Juha Vesanto:
Process Monitoring and Modeling Using the Self-Organizing Map. Integr. Comput. Aided Eng. 6(1): 3-14 (1999) - 1998
- [c3]Michiaki Taniguchi, Michael Haft, Jaakko Hollmén, Volker Tresp:
Fraud detection in communication networks using neural and probabilistic methods. ICASSP 1998: 1241-1244 - [c2]Jaakko Hollmén, Volker Tresp:
Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model. NIPS 1998: 889-895 - 1997
- [c1]Olli Simula, Esa Alhoniemi, Jaakko Hollmén, Juha Vesanto:
Analysis of Complex Systems Using the Self-Organizing Map. ICONIP (2) 1997: 1313-1317
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 2024-09-21 23:43 CEST 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:
