default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDaniel Stamate
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c47]Daniel Stamate, Pradyumna Davuloori, Doina Logofatu, Evelyne Mercure, Caspar Addyman, Mark Tomlinson:
Ensembles of Bidirectional LSTM and GRU Neural Nets for Predicting Mother-Infant Synchrony in Videos. EANN 2024: 329-342- [c46]Henry Musto, Daniel Stamate, Doina Logofatu, Daniel Stahl:
Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling. ICANN (8) 2024: 359-372 - [i6]Henry Musto, Daniel Stamate, Doina Logofatu, Daniel Stahl:
Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling. CoRR abs/2409.16231 (2024) - 2023
- [c45]Henry Musto, Daniel Stamate, Doina Logofatu, Lahcen Ouarbya:
On a Survival Gradient Boosting, Neural Network and Cox PH Based Approach to Predicting Dementia Diagnosis Risk on ADNI. BIBM 2023: 1-7 - [c44]Daniel Stamate, Riya Haran, Karolina Rutkowska, Pradyumna Davuloori, Evelyne Mercure, Caspar Addyman, Mark Tomlinson:
Predicting High vs Low Mother-Baby Synchrony with GRU-Based Ensemble Models. ICANN (9) 2023: 191-199 - [c43]Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl:
Predicting Alzheimer's Disease Diagnosis Risk Over Time with Survival Machine Learning on the ADNI Cohort. ICCCI 2023: 700-712 - [c42]Asei Akanuma, Daniel Stamate, J. Mark Bishop:
Predicting Colour Reflectance with Gradient Boosting and Deep Learning. AIAI (1) 2023: 149-160 - [c41]Mihaela Breaban, Raluca Necula, Dorel Lucanu, Daniel Stamate:
Joint Decision Making in Ant Colony Systems for Solving the Multiple Traveling Salesman Problem. KES 2023: 3498-3507 - [i5]Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl:
Predicting Alzheimers Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort. CoRR abs/2306.10326 (2023) - [i4]Daniel Stamate, Henry Musto, Olesya Ajnakina, Daniel Stahl:
Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort. CoRR abs/2306.10330 (2023) - [i3]Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl:
A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease. CoRR abs/2306.10334 (2023) - 2022
- [c40]Asei Akanuma, Daniel Stamate:
A Neural Network Approach to Estimating Color Reflectance with Product Independent Models. ICANN (3) 2022: 803-806 - [c39]Diana Shamsutdinova, Daniel Stamate, Angus Roberts, Daniel Stahl:
Combining Cox Model and Tree-Based Algorithms to Boost Performance and Preserve Interpretability for Health Outcomes. AIAI (2) 2022: 170-181 - [c38]Daniel Stamate, Henry Musto, Olesya Ajnakina, Daniel Stahl:
Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort. AIAI Workshops 2022: 436-447 - 2021
- [c37]John Langham, Daniel Stamate, Charlotte A. Wu, Fionn Murtagh, Catharine Morgan, David Reeves, Darren Ashcroft, Evangelos Kontopantelis, Brian McMillan:
Predicting risk of dementia with machine learning and survival models using routine primary care records. BIBM 2021: 3036-3042 - [c36]Mihai Ermaliuc, Daniel Stamate, George D. Magoulas, Ida M. Pu:
Creating Ensembles of Generative Adversarial Network Discriminators for One-Class Classification. EANN 2021: 13-23 - [c35]Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl:
A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease. ICMLA 2021: 1443-1448 - [c34]Rapheal Olaniyan, Daniel Stamate, Ida M. Pu:
A Two-Step Optimised BERT-Based NLP Algorithm for Extracting Sentiment from Financial News. AIAI 2021: 745-756 - 2020
- [j6]Doina Logofatu
, Gil Sobol, Christina Andersson, Daniel Stamate, Kristiyan Balabanov, Tymoteusz Cejrowski:
Particle swarm optimization algorithms for autonomous robots with deterministic leaders using space filling movements. Evol. Syst. 11(3): 383-396 (2020) - [c33]Daniel Stamate, Richard Smith, Ruslan Tsygancov, Rostislav Vorobev, John Langham, Daniel Stahl, David Reeves:
Applying Deep Learning to Predicting Dementia and Mild Cognitive Impairment. AIAI (2) 2020: 308-319
2010 – 2019
- 2019
- [j5]Nikolay Y. Nikolaev, Evgueni N. Smirnov, Daniel Stamate, Robert Zimmer:
A regime-switching recurrent neural network model applied to wind time series. Appl. Soft Comput. 80: 723-734 (2019) - [c32]Rapheal Olaniyan, Daniel Stamate, Ida M. Pu, Alexander Zamyatin, Anna Vashkel, Frédéric Maréchal:
Predicting S&P 500 Based on Its Constituents and Their Social Media Derived Sentiment. ICCCI (1) 2019: 142-153 - 2018
- [c31]Daniel Stahl, Daniel Stamate:
Data Science Challenges in Computational Psychiatry and Psychiatric Research. DSAA 2018: 524-525 - [c30]Wajdi Alghamdi, Daniel Stamate, Daniel Stahl, Alexander Zamyatin, Robin M. Murray, Marta Di Forti:
A New Machine Learning Framework for Understanding the Link Between Cannabis Use and First-Episode Psychosis. eHealth 2018: 9-16 - [c29]Frédéric Maréchal, Daniel Stamate, Rapheal Olaniyan, Jiri Marek:
On XLE Index Constituents' Social Media Based Sentiment Informing the Index Trend and Volatility Prediction. ICCCI (2) 2018: 366-376 - [c28]Daniel Stamate, Wajdi Alghamdi, Jeremy Ogg, Richard Hoile, Fionn Murtagh:
A Machine Learning Framework for Predicting Dementia and Mild Cognitive Impairment. ICMLA 2018: 671-678 - [c27]Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Doina Logofatu, Alexander Zamyatin:
PIDT: A Novel Decision Tree Algorithm Based on Parameterised Impurities and Statistical Pruning Approaches. AIAI 2018: 273-284 - [c26]Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Alexander Zamyatin, Robin M. Murray, Marta Di Forti:
Can Artificial Neural Networks Predict Psychiatric Conditions Associated with Cannabis Use? AIAI 2018: 311-322 - [c25]Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Ida M. Pu, Fionn Murtagh, Danielle Belgrave, Robin M. Murray, Marta Di Forti:
Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning. IPMU (3) 2018: 691-702 - 2017
- [c24]Doina Logofatu, Gil Sobol, Daniel Stamate:
Particle Swarm Optimization Algorithms for Autonomous Robots with Leaders Using Hilbert Curves. EANN 2017: 535-543 - [c23]Doina Logofatu, Gil Sobol, Daniel Stamate, Kristiyan Balabanov:
A Novel Space Filling Curves Based Approach to PSO Algorithms for Autonomous Agents. ICCCI (1) 2017: 361-370 - [c22]Danielle Belgrave, Rachel Cassidy, Daniel Stamate, Adnan Custovic, Louise Fleming, Andrew Bush, Sejal Saglani:
Predictive Modelling Strategies to Understand Heterogeneous Manifestations of Asthma in Early Life. ICMLA 2017: 68-75 - [c21]Daniel Stamate, Andrea Katrinecz, Wajdi Alghamdi, Daniel Stahl, Philippe Delespaul, Jim van Os, Sinan Guloksuz:
Predicting Psychosis Using the Experience Sampling Method with Mobile Apps. ICMLA 2017: 667-673 - 2016
- [c20]Wajdi Alghamdi, Daniel Stamate, Katherine Vang, Daniel Stahl, Marco Colizzi, Giada Tripoli, Diego Quattrone, Olesya Ajnakina, Robin M. Murray, Marta Di Forti:
A Prediction Modelling and Pattern Detection Approach for the First-Episode Psychosis Associated to Cannabis Use. ICMLA 2016: 825-830 - 2015
- [c19]Rapheal Olaniyan, Daniel Stamate, Lahcen Ouarbya, Doina Logofatu:
Sentiment and stock market volatility predictive modelling - A hybrid approach. DSAA 2015: 1-10 - [c18]Rapheal Olaniyan, Daniel Stamate, Doina Logofatu:
Social Web-Based Anxiety Index's Predictive Information on S&P 500 Revisited. SLDS 2015: 203-213 - 2014
- [j4]Ida M. Pu, Daniel Stamate, Yuji Shen:
Improving time-efficiency in blocking expanding ring search for mobile ad hoc networks. J. Discrete Algorithms 24: 59-67 (2014) - [c17]Doina Logofatu, Daniel Stamate:
Scalable Distributed Genetic Algorithm for Data Ordering Problem with Inversion Using MapReduce. AIAI 2014: 325-334 - 2012
- [c16]Daniel Stamate, Ida M. Pu:
Imperfect Information Fusion Using Rules with Bilattice Based Fixpoint Semantics. IPMU (3) 2012: 181-190 - [c15]Daniel Stamate:
Quantitative Semantics for Uncertain Knowledge Bases. IPMU (3) 2012: 201-210 - 2010
- [c14]Daniel Stamate:
Queries with Multivalued Logic-Based Semantics for Imperfect Information Fusion. ISMVL 2010: 300-306
2000 – 2009
- 2009
- [c13]Daniel Stamate:
A Bilattice Based Fixed Point Semantics for Integrating Imperfect Information. FICS 2009: 93-99 - 2008
- [c12]Daniel Stamate:
Default Reasoning with Imperfect Information in Multivalued Logics. ISMVL 2008: 163-168 - 2007
- [c11]Sayed W. Qaiyumi, Daniel Stamate:
Reduction in Dimensions and Clustering Using Risk and Return Model. AINA Workshops (1) 2007: 373-378 - 2006
- [c10]Daniel Stamate:
Assumption based multi-valued semantics for extended logic programs. ISMVL 2006: 10 - 2004
- [j3]Yann Loyer, Nicolas Spyratos, Daniel Stamate:
Hypothesis-based semantics of logic programs in multivalued logics. ACM Trans. Comput. Log. 5(3): 508-527 (2004) - 2003
- [j2]Yann Loyer, Nicolas Spyratos, Daniel Stamate:
Parametrized semantics of logic programs--a unifying framework. Theor. Comput. Sci. 308(1-3): 429-447 (2003) - 2001
- [i2]Yann Loyer, Nicolas Spyratos, Daniel Stamate:
Hypotheses Founded Semantics of Logic Programs for Information Integration in Multi-Valued Logics. CoRR cs.LO/0111059 (2001) - 2000
- [c9]Yann Loyer, Nicolas Spyratos, Daniel Stamate:
Hypothesis Support for Information Integration in Four-Valued Logics. IFIP TCS 2000: 536-548 - [c8]Yann Loyer, Nicolas Spyratos, Daniel Stamate:
Integration of Information in Four-Valued Logics under Non-Uniform Assumptions. ISMVL 2000: 185-192 - [c7]Yann Loyer, Nicolas Spyratos, Daniel Stamate:
Test d'hypothèses pour l'intégration d'information en logique à quatre valeurs. JFPLC 2000: 265- - [i1]Yann Loyer, Nicolas Spyratos, Daniel Stamate:
Computing and Comparing Semantics of Programs in Multi-valued Logics. CoRR cs.LO/0002013 (2000)
1990 – 1999
- 1999
- [c6]Yann Loyer, Nicolas Spyratos, Daniel Stamate:
Computing and Comparing Semantics of Programs in Four-Valued Logics. MFCS 1999: 59-69 - 1998
- [c5]Yann Loyer, Nicolas Spyratos, Daniel Stamate:
Unification des sémantiques usuelles de programmes logiques. JFPLC 1998: 135-150 - 1997
- [c4]Gösta Grahne, Nicolas Spyratos, Daniel Stamate:
Semantics and Containment with Internal and External Conjunctions. ICDT 1997: 71-82 - 1996
- [c3]Nicolas Spyratos, Daniel Stamate:
Bases de données avec informations incertaines. Sémantique et mises à jour. JFPLC 1996: 49- - 1994
- [c2]Daniel Stamate, Henri Luchian, Ben Paechter:
A General Model for the Answer-Perturbation Techniques. SSDBM 1994: 90-96 - 1992
- [j1]Henri Luchian, Daniel Stamate:
A User-Oriented Approach for the Protection of Statistical Databases. Sci. Ann. Cuza Univ. 1: 41-56 (1992) - [c1]Henri Luchian, Daniel Stamate:
Statistical Protection for Statistical Databases. SSDBM 1992: 160-177
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 2024-10-17 21:31 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:
