Daniel Stamate
According to our database1,
Daniel Stamate
authored at least 57 papers
between 1992 and 2025.
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Bibliography
2025
Balancing accuracy and Interpretability: An R package assessing complex relationships beyond the Cox model and applications to clinical prediction.
Int. J. Medical Informatics, 2025
2024
Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
Ensembles of Bidirectional LSTM and GRU Neural Nets for Predicting Mother-Infant Synchrony in Videos.
Proceedings of the Engineering Applications of Neural Networks, 2024
2023
Predicting Alzheimers Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort.
CoRR, 2023
Joint Decision Making in Ant Colony Systems for Solving the Multiple Traveling Salesman Problem.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023
Proceedings of the Artificial Intelligence Applications and Innovations, 2023
Predicting Alzheimer's Disease Diagnosis Risk Over Time with Survival Machine Learning on the ADNI Cohort.
Proceedings of the Computational Collective Intelligence - 15th International Conference, 2023
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023
On a Survival Gradient Boosting, Neural Network and Cox PH Based Approach to Predicting Dementia Diagnosis Risk on ADNI.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops, 2022
Combining Cox Model and Tree-Based Algorithms to Boost Performance and Preserve Interpretability for Health Outcomes.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022
A Neural Network Approach to Estimating Color Reflectance with Product Independent Models.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
2021
A Two-Step Optimised BERT-Based NLP Algorithm for Extracting Sentiment from Financial News.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Creating Ensembles of Generative Adversarial Network Discriminators for One-Class Classification.
Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021
Predicting risk of dementia with machine learning and survival models using routine primary care records.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Particle swarm optimization algorithms for autonomous robots with deterministic leaders using space filling movements.
Evol. Syst., 2020
Proceedings of the Artificial Intelligence Applications and Innovations, 2020
2019
Appl. Soft Comput., 2019
Predicting S&P 500 Based on Its Constituents and Their Social Media Derived Sentiment.
Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019
2018
Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018
Can Artificial Neural Networks Predict Psychiatric Conditions Associated with Cannabis Use?
Proceedings of the Artificial Intelligence Applications and Innovations, 2018
PIDT: A Novel Decision Tree Algorithm Based on Parameterised Impurities and Statistical Pruning Approaches.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
On XLE Index Constituents' Social Media Based Sentiment Informing the Index Trend and Volatility Prediction.
Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018
A New Machine Learning Framework for Understanding the Link Between Cannabis Use and First-Episode Psychosis.
Proceedings of the Health Informatics Meets eHealth - Biomedical Meets eHealth - From Sensors to Decisions, 2018
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018
2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Predictive Modelling Strategies to Understand Heterogeneous Manifestations of Asthma in Early Life.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Proceedings of the Computational Collective Intelligence - 9th International Conference, 2017
Particle Swarm Optimization Algorithms for Autonomous Robots with Leaders Using Hilbert Curves.
Proceedings of the Engineering Applications of Neural Networks, 2017
2016
A Prediction Modelling and Pattern Detection Approach for the First-Episode Psychosis Associated to Cannabis Use.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
2015
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
2014
Improving time-efficiency in blocking expanding ring search for mobile ad hoc networks.
J. Discrete Algorithms, 2014
Scalable Distributed Genetic Algorithm for Data Ordering Problem with Inversion Using MapReduce.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014
2012
Proceedings of the Advances in Computational Intelligence, 2012
Proceedings of the Advances in Computational Intelligence, 2012
2010
Proceedings of the 40th IEEE International Symposium on Multiple-Valued Logic, 2010
2009
Proceedings of the 6th Workshop on Fixed Points in Computer Science, 2009
2008
Proceedings of the 38th IEEE International Symposium on Multiple-Valued Logic (ISMVL 2008), 2008
2007
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007
2006
Proceedings of the 36th IEEE International Symposium on Multiple-Valued Logic (ISMVL 2006), 2006
2004
ACM Trans. Comput. Log., 2004
2003
Theor. Comput. Sci., 2003
2001
Hypotheses Founded Semantics of Logic Programs for Information Integration in Multi-Valued Logics
CoRR, 2001
2000
Test d'hypothèses pour l'intégration d'information en logique à quatre valeurs.
Proceedings of the Programmation en logique avec contraintes, 2000
Proceedings of the 30th IEEE International Symposium on Multiple-Valued Logic, 2000
Proceedings of the Theoretical Computer Science, 2000
1999
Proceedings of the Mathematical Foundations of Computer Science 1999, 1999
1998
Unification des sémantiques usuelles de programmes logiques.
Proceedings of the JFPLC'98, 1998
1997
Proceedings of the Database Theory, 1997
1996
Bases de données avec informations incertaines. Sémantique et mises à jour.
Proceedings of the JFPLC'96, 1996
1994
Proceedings of the Seventh International Working Conference on Scientific and Statistical Database Management, 1994
1992
A User-Oriented Approach for the Protection of Statistical Databases.
Sci. Ann. Cuza Univ., 1992
Statistical Protection for Statistical Databases.
Proceedings of the 6th Int. Working Conf. on Scientific and Statistical Database Management, 1992