A Unifying Framework for GPR Image Reconstruction

A new evaluation measure for learning from imbalanced data

A supervised active learning framework for recommender systems based on decision trees

Active Learning for Technology Enhanced Learning

Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference

Active learning for aspect model in recommender systems

scholarly article published April 2011

An SVM Plait for Improving Affect Recognition in Intelligent Tutoring Systems

Analyzing cooperative lane change models for connected vehicles

Automatic Subclasses Estimation for a Better Classification with HNNP

Buried pipe localization using an iterative geometric clustering on GPR data

Calculation of upper esophageal sphincter restitution time from high resolution manometry data using machine learning

scientific article

Collaborative SVM classification in scale-free peer-to-peer networks

Collective Matrix Factorization of Predictors, Neighborhood and Targets for Semi-supervised Classification

Compound Classification Models for Recommender Systems

scholarly article

Cost-sensitive learning methods for imbalanced data

Cross-tagging for personalized open social networking

Efficient Classification of Long Time-Series

Empirical Analysis of Attribute-Aware Recommender System Algorithms Using Synthetic Data

scholarly article by Karen H. L. Tso & Lars Schmidt-Thieme published 1 July 2006 in Journal of Computers

Ensembles of relational classifiers

Evaluation of Attribute-Aware Recommender System Algorithms on Data with Varying Characteristics

scholarly article by Karen H. L. Tso & Lars Schmidt-Thieme published 2006 in Lecture Notes in Computer Science

Event Prediction in Pharyngeal High-Resolution Manometry

Exploiting the characteristics of matrix factorization for active learning in recommender systems

scholarly article published 2012

Factorization models for context-/time-aware movie recommendations

Factorized Decision Trees for Active Learning in Recommender Systems

Factorizing Markov Models for Categorical Time Series Prediction

Factorizing personalized Markov chains for next-basket recommendation

article published in 2010

Fast Classification of Electrocardiograph Signals via Instance Selection

scholarly article published July 2011

Fast classification of univariate and multivariate time series through shapelet discovery

Fast context-aware recommendations with factorization machines

Feature Analysis for Affect Recognition Supporting Task Sequencing in Adaptive Intelligent Tutoring Systems

Folksonomy-Based Collabulary Learning

scientific article published in ISWC 2008

Fusion of Similarity Measures for Time Series Classification

GRAMOFON: General model-selection framework based on networks

GamRec: A Clustering Method Using Geometrical Background Knowledge for GPR Data Preprocessing

Graph-Based Model-Selection Framework for Large Ensembles

Guest Editors' Introduction: Recommender Systems

scholarly article by Alexander Felfernig et al published May 2007 in IEEE Intelligent Systems

HNNP - A Hybrid Neural Network Plait for Improving Image Classification with Additional Side Information

Hough Transform and Kirchhoff Migration for Supervised GPR Data Analysis

Hybrid Matrix Factorization Update for Progress Modeling in Intelligent Tutoring Systems

Hyperparameter Optimization Machines

Hyperparameter Optimization with Factorized Multilayer Perceptrons

Hyperparameter Search Space Pruning – A New Component for Sequential Model-Based Hyperparameter Optimization

IQ estimation for accurate time-series classification

Ideas and Improvements for Semantic Wikis

Improving Academic Performance Prediction by Dealing with Class Imbalance

Improving Automatic Affect Recognition on Low-Level Speech Features in Intelligent Tutoring Systems

Integrating OLAP and recommender systems

scholarly article published 2010

Invariant Time-Series Classification

Invariant time-series factorization

Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons

Latent Time-Series Motifs

Learning Attribute-to-Feature Mappings for Cold-Start Recommendations

Learning DTW-Shapelets for Time-Series Classification

Learning Through Non-linearly Supervised Dimensionality Reduction

Learning hyperparameter optimization initializations

Learning optimal ranking with tensor factorization for tag recommendation

Learning time-series shapelets

Learning to Extract Relations for Relational Classification

Minimal Invasive Integration of Learning Analytics Services in Intelligent Tutoring Systems

Multi-relational Factorization Models for Student Modeling in Intelligent Tutoring Systems

Multi-relational matrix factorization using bayesian personalized ranking for social network data

Multinomial SVM Item Recommender for Repeat-Buying Scenarios

MyMediaLite

scholarly article published 2011

Near Real-time Geolocation Prediction in Twitter Streams via Matrix Factorization Based Regression

scholarly article published 2016

Non-myopic active learning for recommender systems based on Matrix Factorization

scholarly article published August 2011

Object Identification with Constraints

On Discovering the Number of Document Topics via Conceptual Latent Space

On benchmarking frequent itemset mining algorithms

article

Online-updating regularized kernel matrix factorization models for large-scale recommender systems

scholarly article published 2008

Optimal Ranking for Video Recommendation

Optimizing Multi-Relational Factorization Models for Multiple Target Relations

P2P RVM for Distributed Classification

Pairwise interaction tensor factorization for personalized tag recommendation

Perceived Task-Difficulty Recognition from Log-file Information for the Use in Adaptive Intelligent Tutoring Systems

Personalized Deep Learning for Tag Recommendation

scholarly article by Hanh T. H. Nguyen et al published 2017 in Lecture Notes in Computer Science

Personalized Forecasting Student Performance

Personalized Tag Recommendation for Images Using Deep Transfer Learning

Pipe localization by apex detection

Predicting RDF triples in incomplete knowledge bases with tensor factorization

RFID-Enhanced Museum for Interactive Experience

Real-time top-n recommendation in social streams

scholarly article published 2012

Realistic optimal policies for energy-efficient train driving

article published in 2014

Recommender system for predicting student performance

scholarly article by Nguyen Thai-Nghe et al published 2010 in Procedia Computer Science

Relational Ensemble Classification

Scalable Classification of Repetitive Time Series Through Frequencies of Local Polynomials

Scalable Gaussian process-based transfer surrogates for hyperparameter optimization

Scalable Hyperparameter Optimization with Products of Gaussian Process Experts

Scaling Record Linkage to Non-uniform Distributed Class Sizes

Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems

Sequential Model-Free Hyperparameter Tuning

article

Supervised Dimensionality Reduction via Nonlinear Target Estimation

Supervised Nonlinear Factorizations Excel In Semi-supervised Regression

Supporting collaborative hierarchical classification: Bookmarks as an example

Swarming to rank for information retrieval

Tag-aware recommender systems by fusion of collaborative filtering algorithms

The Relation of Closed Itemset Mining, Complete Pruning Strategies and Item Ordering in Apriori-Based FIM Algorithms

Time-Series Classification Based on Individualised Error Prediction

Towards Optimal Active Learning for Matrix Factorization in Recommender Systems

scholarly article published November 2011

Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization

article

Value-transformation for monotone prediction by approximating fuzzy membership functions

Vygotsky Based Sequencing Without Domain Information: A Matrix Factorization Approach

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Workshop on user-centric evaluation of recommender systems and their interfaces

scholarly article published 2010