Daniel Stamate

According to our database1, Daniel Stamate authored at least 54 papers between 1992 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Predicting Colour Reflectance with Gradient Boosting and Deep Learning.
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

Predicting High vs Low Mother-Baby Synchrony with GRU-Based Ensemble Models.
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

A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease.
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

Applying Deep Learning to Predicting Dementia and Mild Cognitive Impairment.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020

2019
A regime-switching recurrent neural network model applied to wind time series.
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

A Machine Learning Framework for Predicting Dementia and Mild Cognitive Impairment.
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

Data Science Challenges in Computational Psychiatry and Psychiatric Research.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017
Predicting Psychosis Using the Experience Sampling Method with Mobile Apps.
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

A Novel Space Filling Curves Based Approach to PSO Algorithms for Autonomous Agents.
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
Social Web-Based Anxiety Index's Predictive Information on S&P 500 Revisited.
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

Sentiment and stock market volatility predictive modelling - A hybrid approach.
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
Imperfect Information Fusion Using Rules with Bilattice Based Fixpoint Semantics.
Proceedings of the Advances in Computational Intelligence, 2012

Quantitative Semantics for Uncertain Knowledge Bases.
Proceedings of the Advances in Computational Intelligence, 2012

2010
Queries with Multivalued Logic-Based Semantics for Imperfect Information Fusion.
Proceedings of the 40th IEEE International Symposium on Multiple-Valued Logic, 2010

2009
A Bilattice Based Fixed Point Semantics for Integrating Imperfect Information.
Proceedings of the 6th Workshop on Fixed Points in Computer Science, 2009

2008
Default Reasoning with Imperfect Information in Multivalued Logics.
Proceedings of the 38th IEEE International Symposium on Multiple-Valued Logic (ISMVL 2008), 2008

2007
Reduction in Dimensions and Clustering Using Risk and Return Model.
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007

2006
Assumption based multi-valued semantics for extended logic programs.
Proceedings of the 36th IEEE International Symposium on Multiple-Valued Logic (ISMVL 2006), 2006

2004
Hypothesis-based semantics of logic programs in multivalued logics.
ACM Trans. Comput. Log., 2004

2003
Parametrized semantics of logic programs--a unifying framework.
Theor. Comput. Sci., 2003

2001
Hypotheses Founded Semantics of Logic Programs for Information Integration in Multi-Valued Logics
CoRR, 2001

2000
Computing and Comparing Semantics of Programs in Multi-valued Logics
CoRR, 2000

Test d'hypothèses pour l'intégration d'information en logique à quatre valeurs.
Proceedings of the Programmation en logique avec contraintes, 2000

Integration of Information in Four-Valued Logics under Non-Uniform Assumptions.
Proceedings of the 30th IEEE International Symposium on Multiple-Valued Logic, 2000

Hypothesis Support for Information Integration in Four-Valued Logics.
Proceedings of the Theoretical Computer Science, 2000

1999
Computing and Comparing Semantics of Programs in Four-Valued Logics.
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
Semantics and Containment with Internal and External Conjunctions.
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
A General Model for the Answer-Perturbation Techniques.
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


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