Tomislav Smuc

Orcid: 0000-0002-9185-9384

According to our database1, Tomislav Smuc authored at least 36 papers between 2000 and 2023.

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

Timeline

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Bibliography

2023
Dynamic applicability domain (dAD): compound-target binding affinity estimates with local conformal prediction.
Bioinform., August, 2023

WINTENDED: WINdowed TENsor decomposition for Densification Event Detection in time-evolving networks.
Mach. Learn., February, 2023

2022
Rules, Subgroups and Redescriptions as Features in Classification Tasks.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

2021
Approaches for Multi-View Redescription Mining.
IEEE Access, 2021

2020
From Knowledge Transmission to Knowledge Construction: A Step towards Human-Like Active Learning.
Entropy, 2020

Multi-view redescription mining using tree-based multi-target prediction models.
CoRR, 2020

2019
Disentangling Sources of Influence in Online Social Networks.
IEEE Access, 2019

2018
Targeted and contextual redescription set exploration.
Mach. Learn., 2018

Redescription mining augmented with random forest of multi-target predictive clustering trees.
J. Intell. Inf. Syst., 2018

Extending Redescription Mining to Multiple Views.
Proceedings of the Discovery Science - 21st International Conference, 2018

2017
A framework for redescription set construction.
Expert Syst. Appl., 2017

Using Redescription Mining to Relate Clinical and Biological Characteristics of Cognitively Impaired and Alzheimer's Disease Patients.
CoRR, 2017

Phenotype Prediction with Semi-supervised Classification Trees.
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

Phenotype Inference from Text and Genomic Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Modeling Peer and External Influence in Online Social Networks: Case of 2013 Referendum in Croatia.
Proceedings of the Complex Networks & Their Applications VI, 2017

2016
Modeling peer and external influence in online social networks.
CoRR, 2016

Extensive complementarity between gene function prediction methods.
Bioinform., 2016

InterSet: Interactive Redescription Set Exploration.
Proceedings of the Discovery Science - 19th International Conference, 2016

2015
MultiNets: Web-Based Multilayer Network Visualization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Redescription Mining with Multi-target Predictive Clustering Trees.
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015

2014
News Cohesiveness: an Indicator of Systemic Risk in Financial Markets.
CoRR, 2014

Detectability limits of epidemic sources in networks.
CoRR, 2014

Statistical Inference Framework for Source Detection of Contagion Processes on Arbitrary Network Structures.
Proceedings of the Eighth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops, 2014

Synthetic Sequence Generator for Recommender Systems - Memory Biased Random Walk on a Sequence Multilayer Network.
Proceedings of the Discovery Science - 17th International Conference, 2014

2013
Phyletic Profiling with Cliques of Orthologs Is Enhanced by Signatures of Paralogy Relationships.
PLoS Comput. Biol., 2013

Semi-Supervised Learning for Quantitative Structure-Activity Modeling.
Informatica (Slovenia), 2013

2012
Memory biased random walk approach to synthetic clickstream generation
CoRR, 2012

Descriptive Modeling of Systemic Banking Crises.
Proceedings of the Discovery Science - 15th International Conference, 2012

2010
Information Gain of Structured Medical Diagnostic Tests - Integration of Bayesian Networks and Ontologies.
Proceedings of the HEALTHINF 2010, 2010

2008
Language morphology offset: Text classification on a Croatian-English parallel corpus.
Inf. Process. Manag., 2008

Medical Knowledge Representation within Heartfaid Platform.
Proceedings of the First International Conference on Health Informatics, 2008

2002
Sensitivity of Differential Evolution Algorithm to Values of Control Parameters.
Proceedings of the International Conference on Artificial Intelligence, 2002

2001
Combining Unsupervised and Supervised Machine Learning.
Proceedings of the Artificial Intelligence Medicine, 2001

Coronary Heart Disease Patient Models Based on Inductive Machine Learning.
Proceedings of the Artificial Intelligence Medicine, 2001

2000
Inconsistency Tests for Patient Records in a Coronary Heart Disease Database.
Proceedings of the Medical Data Analysis, First International Symposium, 2000

Medical Expert Evaluation of Machine Learning Results for a Coronary Heart Disease Database.
Proceedings of the Medical Data Analysis, First International Symposium, 2000


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