machine learning - NLF Open Data

Works about machine learning

25th International Conference on Machine Learning (ICML 2008) : abstract booklet, Helsinki, Finland, July 5-9, 2008
A dependency parsing approach to biomedical text mining
Advances in analysis and exploration in medical imaging
Advances in Extreme Learning Machines
Advances in methods of anomaly detection and visualization of multivariate data
Advances in weakly supervised learning of morphology
Algorithmic issues in computational intelligence optimization : from design to implementation, from implementation to design
Application of advanced geospatial computation and technology to model and manage coastal environments
Application of data mining methods in the study of crime based on international data sources
Applications for Alzheimer’s disease and Autism spectrum disorder
Applying machine learning methods to aphasic data
Artificial intelligence meets VR and AR
Assessing fall risk of older adults using accelerometry-based methods
Bag-of-features approach to unsupervised visual object categorisation
Bayesian latent Gaussian spatio-temporal models
Bayesian latent variable models for learning dependencies between multiple data sources
Bayesian multi-view models for data-driven drug response analysis
Classification of metallic targets using a walk-through metal detection portal :
Classification of the human swaying processes : a machine learning approach
Cluster validity in clustering methods
Cognitive and probabilistic basis of prominence perception in speech
Collective entity resolution methods for network inference
Computational analysis of small non-coding RNAs in model systems
Computational modeling and simulation of language and meaning :
Computing the stochastic complexity of simple probabilistic graphical models
Context awareness for navigation applications
Contextualising the application of human
Data fusion and matching by maximizing statistical dependencies
Developing fast machine learning techniques with applications to steganalysis problems
Digitaalisista sairaaloista kognitiivisiin sairaaloihin
Disease state index and disease state fingerprint : supervised learning applied to clinical decision support in Alzheimer's disease
Efficient and robust methods for audio and video signal analysis
Emergence of representations in natural data
Foundations and advances in deep learning
Hello Ruby : robotti koulussa
High-dimensional Big Data processing with dictionary learning and diffusion maps
IBM-teknologioiden hyödyntäminen terveydenhuollossa
Image database retrieval methods based on feature histograms
Inference of relevance for proactive information retrieval
Intelligent solutions for real-life data-driven applications
Intrusion detection applications using knowledge discovery and data mining
Kernel-based ranking : methods for learning and performance estimation
Knowledge-lean text mining
Koneoppimispohjaiset tekoälyratkaisut hyvinvointi- ja terveyssovelluksissa
Language- and domain-independent text mining
Learning constructions of natural language :
Learning discriminative models from structured multi-sensor data for human context recognition
Learning mental states from biosignals
Learning nonlinear visual processing from natural images
Leveraging emotion and word-based features for antisocial behavior detection in user-generated content
Machine learning and clinical text : supporting health information flow
Machine learning for corporate bankruptcy prediction
Machine learning in systems biology : proceedings of the third international workshop, September 5-6, 2009, Ljubljana, Slovenia
Machine learning methods for improving drug response prediction in cancer
Machine learning methods for incomplete data and variable selection
Machine learning methods for spectrum exploration and exploitation
Manifold learning from structured kernels and out of sample extensions
MASHS 2010 : 10-11 June 2010, Lille, France : proceedings
Memory-saving optimization algorithms for systems with limited hardware
Methods for facial expression recognition with applications in challenging situations
Methods for the application of glottal inverse filtering to statistical parametric speech synthesis
Missä koneen älykkyys päättyy ja ihmisen luovuus alkaa
Mitä tulisi tietää tekoälystä
Model selection in time series machine learning applications
Morphological disambiguation using probabilistic sequence models
Multilabel classification through structured output learning : methods and applications
Multilayer perceptron training with multiobjective memetic optimization
Multimodal video analysis and modeling
Multivariate multi-way modelling of multiple high-dimensional data sources
Music mood annotation using semantic computing and machine learning
Natural language processing system for business intelligence
Network security monitoring and anomaly detection in industrial control system networks
New computational methods for efficient utilisation of public data
New kernel functions and learning methods for text and data mining
Normalized maximum likelihood methods for clustering and density estimation
On data mining applications in mobile networking and network security
On model selection for Bayesian networks and sparse logistic regression
On text document classification and retrieval using self-organising maps
Overfitting in feature selection :
Privacy-preserving cloud-assisted services
Probabilistic components of molecular interactions and drug responses
Probabilistic modeling and machine learning in structural and systems biology : workshop proceedings, Tuusula, Finland June 17-18, 2006
Quantitative approaches for detecting emerging technologies
Radio frequency fingerprinting for outdoor user equipment localization
Rauhankone : tekoälytutkijan testamentti
Real-time action recognition for RGB-D and motion capture data
Retrieval of gene expression measurements with probabilistic models
Robust methods for speech feature extraction
Seminar on Internetworking, spring 2014 : recent developments in fixed and mobile Internet
Sparse predictive modeling : a cost-effective perspective
Tekoäly :
Tekoäly ja terveydenhuolto Suomessa :
Terveydenhuollon alustat ja tekoäly
Training methods for climate and neural network models
Unstable feature relevance in classification tasks
Unsupervised network intrusion detection systems for zero-day fast-spreading network attacks and botnets
Unsupervised networks, stochasticity and optimization in deep learning
Variations on a theme : the classification of benthic macroinvertebrates