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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
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last updated on 2024-10-17 20:32 CEST by the dblp team
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