Lars Schmidt-Thieme

Azhar Sultan

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Parting With Illusions About Synthetic Data.

[BibT_eX]

[DOI]

Azhar Sultan

Vijaya Krishna Yalavarthi

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Zero-shot AutoML with Pretrained Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series.

[BibT_eX]

[DOI]

Johannes Burchert

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Positive-Unlabeled Domain Adaptation.

[BibT_eX]

[DOI]

Jonas Sonntag

Gunnar Behrens

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

FastSiam: Resource-Efficient Self-supervised Learning on a Single GPU.

[BibT_eX]

[DOI]

Azhar Sultan

Proceedings of the Pattern Recognition, 2022

On the Potential of Using ERP Business and System Data for Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

GQFormer: A Multi-Quantile Generative Transformer for Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Dataset2Vec: learning dataset meta-features.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2021

Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2021

Improving Hyperparameter Optimization by Planning Ahead.

[BibT_eX]

[DOI]

Jonas K. Falkner

CoRR, 2021

Deep Metric Learning for Ground Images.

[BibT_eX]

[DOI]

Raaghav Radhakrishnan

Jan Fabian Schmid

Randolf Scholz

CoRR, 2021

Hyperparameter Optimization with Differentiable Metafeatures.

[BibT_eX]

[DOI]

CoRR, 2021

Do We Really Need Deep Learning Models for Time Series Forecasting?

[BibT_eX]

[DOI]

CoRR, 2021

A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Multi-task Learning Curve Forecasting Across Hyperparameter Configurations and Datasets.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

RP-DQN: An Application of Q-Learning to Vehicle Routing Problems.

[BibT_eX]

[DOI]

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

Self-supervised Learning for Object Detection in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

Leveraging Group Annotations in Object Detection Using Graph-Based Pseudo-labeling.

[BibT_eX]

[DOI]

Matthias Kirschner

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

Training Object Detectors if Only Large Objects are Labeled.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Multimodal Meta-Learning for Time Series Regression.

[BibT_eX]

[DOI]

Sebastian Pineda-Arango

Felix Heinrich

Kiran Madhusudhanan

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021

Predicting Parking Availability from Mobile Payment Transactions with Positive Unlabeled Learning.

[BibT_eX]

[DOI]

Jonas Sonntag

Michael Engel

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention.

[BibT_eX]

[DOI]

Jonas K. Falkner

CoRR, 2020

HIDRA: Head Initialization across Dynamic targets for Robust Architectures.

[BibT_eX]

[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Automation of Leasing Vehicle Return Assessment Using Deep Learning Models.

[BibT_eX]

[DOI]

Andre Hintsches

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Self-supervised Learning for Semi-supervised Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Optimal Topology Search for Fast Model Averaging in Decentralized Parallel SGD.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Phantom Embeddings: Using Embeddings Space for Model Regularization in Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Conference "Lernen, 2020

A machine learning approach to infer on-street parking occupancy based on parking meter transactions.

[BibT_eX]

[DOI]

Jonas Sonntag

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

An efficient evolutionary solution to the joint order batching - order picking planning problem.

[BibT_eX]

[DOI]

Riccardo Lucato

Jonas K. Falkner

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Chameleon: Learning Model Initializations Across Tasks With Different Schemas.

[BibT_eX]

[DOI]

CoRR, 2019

Handwritten Amharic Character Recognition Using a Convolutional Neural Network.

[BibT_eX]

[DOI]

CoRR, 2019

Hyp-RL : Hyperparameter Optimization by Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

In Hindsight: A Smooth Reward for Steady Exploration.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Surrogate Losses.

[BibT_eX]

[DOI]

Randolf Scholz

CoRR, 2019

Data-Driven Vehicle Trajectory Forecasting.

[BibT_eX]

[DOI]

CoRR, 2019

Attribute-aware non-linear co-embeddings of graph features.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

A Deep Multi-task Approach for Residual Value Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Ring-Star: A Sparse Topology for Faster Model Averaging in Decentralized Parallel SGD.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Hybrid Convolutional Approach for Parking Availability Prediction.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights.

[BibT_eX]

[DOI]

Proceedings of the Agents and Artificial Intelligence - 11th International Conference, 2019

Multi-Label Network Classification via Weighted Personalized Factorizations.

[BibT_eX]

[DOI]

Vijaya Krishna Yalavarthi

Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

Gait Verification using Deep Learning with a Pairwise Loss.

[BibT_eX]

[DOI]

Hareesh Mandalapu

Proceedings of the 2019 International Conference of the Biometrics Special Interest Group, 2019

Multi-step Forecasting via Multi-task Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Directly Optimizing IoU for Bounding Box Localization.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018

Scalable Gaussian process-based transfer surrogates for hyperparameter optimization.

[BibT_eX]

[DOI]

Mach. Learn., 2018

NeuralWarp: Time-Series Similarity with Warping Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Towards Distributed Pairwise Ranking using Implicit Feedback.

[BibT_eX]

[DOI]

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2017

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

[BibT_eX]

[DOI]

Muhammad Umer Khan

Expert Syst. Appl., 2017

Channel masking for multivariate time series shapelets.

[BibT_eX]

[DOI]

Dripta S. Raychaudhuri

CoRR, 2017

Automatic Frankensteining: Creating Complex Ensembles Autonomously.

[BibT_eX]

[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Personalized Tag Recommendation for Images Using Deep Transfer Learning.

[BibT_eX]

[DOI]

Hanh T. H. Nguyen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Personalized Deep Learning for Tag Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Finding Hierarchy of Topics from Twitter Data.

[BibT_eX]

[DOI]

Nghia Duong-Trung

Proceedings of the Lernen, 2017

On Discovering the Number of Document Topics via Conceptual Latent Space.

[BibT_eX]

[DOI]

Nghia Duong-Trung

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Latent Time-Series Motifs.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2016

Fast classification of univariate and multivariate time series through shapelet discovery.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2016

Bank Card Usage Prediction Exploiting Geolocation Information.

[BibT_eX]

[DOI]

CoRR, 2016

Multi-Relational Learning at Scale with ADMM.

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Educ., 2016

Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Scalable Hyperparameter Optimization with Products of Gaussian Process Experts.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Matrix Factorization for Near Real-time Geolocation Prediction in Twitter Stream.

[BibT_eX]

[DOI]

Proceedings of the Conference "Lernen, 2016

Learning Thesaurus Relations from Distributional Features.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Hyperparameter Optimization Machines.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Hybrid Matrix Factorization Update for Progress Modeling in Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

Proceedings of the Computers Supported Education - 8th International Conference, 2016

Student Progress Modeling with Skills Deficiency Aware Kalman Filters.

[BibT_eX]

[DOI]

Proceedings of the CSEDU 2016, 2016

Integrating Distributional and Lexical Information for Semantic Classification of Words using MRMF.

[BibT_eX]

[DOI]

Proceedings of the COLING 2016, 2016

Learning DTW-Shapelets for Time-Series Classification.

[BibT_eX]

[DOI]

Proceedings of the 3rd IKDD Conference on Data Science, 2016

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

[BibT_eX]

[DOI]

Nghia Duong-Trung

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

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

[BibT_eX]

[DOI]

User Model. User Adapt. Interact., 2015

Learning Through Non-linearly Supervised Dimensionality Reduction.

[BibT_eX]

[DOI]

Trans. Large Scale Data Knowl. Centered Syst., 2015

Scalable Classification of Repetitive Time Series Through Frequencies of Local Polynomials.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

Beyond Manual Tuning of Hyperparameters.

[BibT_eX]

[DOI]

Frank Hutter

Jörg Lücke

Künstliche Intell., 2015

Ultra-Fast Shapelets for Time Series Classification.

[BibT_eX]

[DOI]

CoRR, 2015

Scalable Discovery of Time-Series Shapelets.

[BibT_eX]

[DOI]

CoRR, 2015

Optimal Time-Series Motifs.

[BibT_eX]

[DOI]

CoRR, 2015

Learning Data Set Similarities for Hyperparameter Optimization Initializations.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015

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

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Hyperparameter Optimization with Factorized Multilayer Perceptrons.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Geo_ML @ MediaEval Placing Task 2015.

[BibT_eX]

[DOI]

Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015

Comparing Prediction Models for Active Learning in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the LWA 2015 Workshops: KDML, 2015

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

[BibT_eX]

[DOI]

Proceedings of the 2015 Seventh International Conference on Knowledge and Systems Engineering, 2015

Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Sequential Model-Free Hyperparameter Tuning.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Transfer Learning Approach for Applying Matrix Factorization to Small ITS Datasets.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Educational Data Mining, 2015

How to Aggregate Multimodal Features for Perceived Task Difficulty Recognition in Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Recognizing Perceived Task Difficulty from Speech and Pause Histograms.

[BibT_eX]

[DOI]

Proceedings of the Workshops Proceedings of EDM 2015 8th International Conference on Educational Data Mining, 2015

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

[BibT_eX]

[DOI]

Proceedings of the Design for Teaching and Learning in a Networked World, 2015

Learning hyperparameter optimization initializations.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Recognizing Perceived Task Difficulty from Speech, Pause Histograms.

[BibT_eX]

[DOI]

Proceedings of the Workshops at the 17th International Conference on Artificial Intelligence in Education, 2015

Integration and Evaluation of a Matrix Factorization Sequencer in Large Commercial ITS.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Invariant time-series factorization.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2014

Buried pipe localization using an iterative geometric clustering on GPR data.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2014

Supervised Nonlinear Factorizations Excel In Semi-supervised Regression.

[BibT_eX]

[DOI]

Erind Bedalli

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

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

[BibT_eX]

[DOI]

Lucas Rêgo Drumond

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Improved Questionnaire Trees for Active Learning in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 16th LWA Workshops: KDML, 2014

Local Feature Extractors Accelerating HNNP for Phoneme Recognition.

[BibT_eX]

[DOI]

Proceedings of the KI 2014: Advances in Artificial Intelligence, 2014

Learning time-series shapelets.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Realistic optimal policies for energy-efficient train driving.

[BibT_eX]

[DOI]

Alexandros Dalkalitsis

Athanasios Lois

Evangelos Katsaros

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Automatic Subclasses Estimation for a Better Classification with HNNP.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

An SVM Plait for Improving Affect Recognition in Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Analyzing cooperative lane change models for connected vehicles.

[BibT_eX]

[DOI]

Muhammad Umer Khan

Pavlos Basaras

Dimitrios Katsaros

Proceedings of the International Conference on Connected Vehicles and Expo, 2014

Minimal Invasive Integration of Learning Analytics Services in Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

Sergio Gutiérrez Santos

Proceedings of the IEEE 14th International Conference on Advanced Learning Technologies, 2014

Matrix Factorization Feasibility for Sequencing and Adaptive Support in Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Educational Data Mining, 2014

Multimodal Affect Recognition for Adaptive Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

Proceedings of the Workshops held at Educational Data Mining 2014, 2014

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

[BibT_eX]

[DOI]

Proceedings of the Open Learning and Teaching in Educational Communities, 2014

Adaptive Content Sequencing without Domain Information.

[BibT_eX]

[DOI]

Proceedings of the CSEDU 2014, 2014

Vygotsky Based Sequencing Without Domain Information: A Matrix Factorization Approach.

[BibT_eX]

[DOI]

Proceedings of the Computer Supported Education - 6th International Conference, 2014

Optimizing Multi-Relational Factorization Models for Multiple Target Relations.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

An Evaluation Measure for Learning from Imbalanced Data Based on Asymmetric Beta Distribution.

[BibT_eX]

[DOI]

Proceedings of the Classification and Data Mining, 2013

Time-Series Classification Through Histograms of Symbolic Polynomials.

[BibT_eX]

[DOI]

CoRR, 2013

Invariant Factorization Of Time-Series.

[BibT_eX]

[DOI]

CoRR, 2013

Towards real-time collaborative filtering for big fast data.

[BibT_eX]

[DOI]

Proceedings of the 22nd International World Wide Web Conference, 2013

Supervised Clustering of Social Media Streams.

[BibT_eX]

[DOI]

Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 2013

Towards Optimal Active Learning for Matrix Factorization in Recommender Systems.

[BibT_eX]

Proceedings of the LWA 2013. Lernen, 2013

Analysing the Potential Impact of Labeling Disagreements for Engineering Sensor Data.

[BibT_eX]

Proceedings of the LWA 2013. Lernen, 2013

Move Prediction in Go - Modelling Feature Interactions Using Latent Factors.

[BibT_eX]

[DOI]

Proceedings of the KI 2013: Advances in Artificial Intelligence, 2013

Factorized Decision Trees for Active Learning in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

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

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Event Prediction in Pharyngeal High-Resolution Manometry.

[BibT_eX]

[DOI]

Proceedings of the Data Science, 2013

P2P RVM for Distributed Classification.

[BibT_eX]

[DOI]

Muhammad Umer Khan

Proceedings of the Data Science, 2013

Hough Transform and Kirchhoff Migration for Supervised GPR Data Analysis.

[BibT_eX]

[DOI]

Daniel Seyfried

Proceedings of the Data Science, 2013

Supervised Dimensionality Reduction via Nonlinear Target Estimation.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 2013

2012

Personalized Ranking for Non-Uniformly Sampled Items.

[BibT_eX]

[DOI]

Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012

GRAMOFON: General model-selection framework based on networks.

[BibT_eX]

[DOI]

Neurocomputing, 2012

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

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Using factorization machines for student modeling.

[BibT_eX]

[DOI]

Proceedings of the Workshop and Poster Proceedings of the 20th Conference on User Modeling, 2012

Factorization techniques for student performance classification and ranking.

[BibT_eX]

[DOI]

Proceedings of the Workshop and Poster Proceedings of the 20th Conference on User Modeling, 2012

Predicting RDF triples in incomplete knowledge bases with tensor factorization.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Applied Computing, 2012

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

[BibT_eX]

[DOI]

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Real-time top-n recommendation in social streams.

[BibT_eX]

[DOI]

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Invariant Time-Series Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

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

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Efficient Classification of Long Time-Series.

[BibT_eX]

[DOI]

Erind Bedalli

Proceedings of the ICT Innovations 2012, 2012

Multinomial SVM Item Recommender for Repeat-Buying Scenarios.

[BibT_eX]

[DOI]

Christina Lichtenthäler

Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

A Unifying Framework for GPR Image Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

What is happening right now ... that interests me?: online topic discovery and recommendation in twitter.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Classification of Sparse Time Series via Supervised Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Recommender Systems for Social Tagging Systems.

[BibT_eX]

[DOI]

Andreas Hotho

Robert Jäschke

Gerd Stumme

Panagiotis Symeonidis

Springer Briefs in Electrical and Computer Engineering, Springer, ISBN: 978-1-4614-1894-8, 2012

2011

Social Tagging Recommender Systems.

[BibT_eX]

[DOI]

Panagiotis Symeonidis

Proceedings of the Recommender Systems Handbook, 2011

Fast context-aware recommendations with factorization machines.

[BibT_eX]

[DOI]

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

MyMediaLite: a free recommender system library.

[BibT_eX]

[DOI]

Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

INSIGHT: Efficient and Effective Instance Selection for Time-Series Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

RFID-Enhanced Museum for Interactive Experience.

[BibT_eX]

[DOI]

Proceedings of the Multimedia for Cultural Heritage - First International Workshop, 2011

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011

A new evaluation measure for learning from imbalanced data.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Keyword-Based TV Program Recommendation.

[BibT_eX]

[DOI]

Chris Newell

Proceedings of the 9th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, 2011

Scalable Event-Based Clustering of Social Media Via Record Linkage Techniques.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Personalized Forecasting Student Performance.

[BibT_eX]

[DOI]

Proceedings of the ICALT 2011, 2011

Fast Classification of Electrocardiograph Signals via Instance Selection.

[BibT_eX]

[DOI]

Júlia Koller

Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011

Fusion of Similarity Measures for Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

Factorization Models for Forecasting Student Performance.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Educational Data Mining, 2011

Active Learning for Technology Enhanced Learning.

[BibT_eX]

[DOI]

Proceedings of the Towards Ubiquitous Learning, 2011

Matrix and Tensor Factorization for Predicting Student Performance.

[BibT_eX]

Proceedings of the CSEDU 2011, 2011

Active learning for aspect model in recommender systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

IQ estimation for accurate time-series classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010

Recommender system for predicting student performance.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning, 2010

Factorizing personalized Markov chains for next-basket recommendation.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on World Wide Web, 2010

Pairwise interaction tensor factorization for personalized tag recommendation.

[BibT_eX]

[DOI]

Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

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

[BibT_eX]

[DOI]

Bart P. Knijnenburg

Dirk G. F. M. Bollen

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

A Novel Multidimensional Framework for Evaluating Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the LWA 2010, 2010

Mining Music Playlogs for Next Song Recommendations.

[BibT_eX]

[DOI]

Proceedings of the LWA 2010, 2010

Cost-sensitive learning methods for imbalanced data.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

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

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

Graph-Based Model-Selection Framework for Large Ensembles.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Individualized Error Estimation for Classification and Regression Models.

[BibT_eX]

[DOI]

Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

Integrating OLAP and recommender systems: an evaluation perspective.

[BibT_eX]

[DOI]

Proceedings of the DOLAP 2010, 2010

Time-Series Classification Based on Individualised Error Prediction.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Conference on Computational Science and Engineering, 2010

2009

Optimal Ranking for Video Recommendation.

[BibT_eX]

[DOI]

Proceedings of the User Centric Media - First International Conference, 2009

BPR: Bayesian Personalized Ranking from Implicit Feedback.

[BibT_eX]

[DOI]

Proceedings of the UAI 2009, 2009

Factor Models for Tag Recommendation in BibSonomy.

[BibT_eX]

[DOI]

Proceedings of ECML PKDD (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) Discovery Challenge 2009, 2009

Relational Classification for Personalized Tag Recommendation.

[BibT_eX]

[DOI]

Proceedings of ECML PKDD (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) Discovery Challenge 2009, 2009

Learning to Extract Relations for Relational Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Learning optimal ranking with tensor factorization for tag recommendation.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Improving Academic Performance Prediction by Dealing with Class Imbalance.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Cross-tagging for personalized open social networking.

[BibT_eX]

[DOI]

Avare Stewart

Wolfgang Nejdl

Proceedings of the HYPERTEXT 2009, Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, Torino, Italy, June 29, 2009

Swarming to rank for information retrieval.

[BibT_eX]

[DOI]

Wolfgang Nejdl

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Automatic Content-Based Categorization of Wikipedia Articles.

[BibT_eX]

[DOI]

Proceedings of the 1st 2009 Workshop on The People's Web Meets NLP: Collaboratively Constructed Semantic Resources@IJCNLP 2009, 2009

2008

Ensembles of relational classifiers.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2008

Emergence of Spontaneous Order Through Neighborhood Formation in Peer-to-Peer Recommender Systems

[BibT_eX]

[DOI]

Cai-Nicolas Ziegler

CoRR, 2008

Tag recommendations in social bookmarking systems.

[BibT_eX]

[DOI]

Robert Jäschke

Andreas Hotho

Gerd Stumme

AI Commun., 2008

Folksonomy-Based Collabulary Learning.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - ISWC 2008, 7th International Semantic Web Conference, 2008

Tag-aware recommender systems by fusion of collaborative filtering algorithms.

[BibT_eX]

[DOI]

Karen H. L. Tso-Sutter

Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

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

[BibT_eX]

[DOI]

Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Scaling Record Linkage to Non-uniform Distributed Class Sizes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

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

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Motif-Based Classification of Time Series with Bayesian Networks and SVMs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

2007

Guest Editors' Introduction: Recommender Systems.

[BibT_eX]

[DOI]

Alexander Felfernig

Gerhard Friedrich

IEEE Intell. Syst., 2007

Supporting collaborative hierarchical classification: Bookmarks as an example.

[BibT_eX]

[DOI]

Dominik Benz

Comput. Networks, 2007

Tag Recommendations in Folksonomies.

[BibT_eX]

[DOI]

Robert Jäschke

Andreas Hotho

Gerd Stumme

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Combining multi-distributed mixture models and bayesian networks for semi-supervised learning.

[BibT_eX]

[DOI]

Manuel Stritt

Gerhard Poeppel

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Information Integration of Partially Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the Data Analysis, Machine Learning and Applications, 2007

Collaborative Tag Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Data Analysis, Machine Learning and Applications, 2007

Comparison of Recommender System Algorithms Focusing on the New-item and User-bias Problem.

[BibT_eX]

[DOI]

Stefan Hauger

Proceedings of the Data Analysis, Machine Learning and Applications, 2007

2006

Empirical Analysis of Attribute-Aware Recommendation Algorithms with Variable Synthetic Data.

[BibT_eX]

[DOI]

Proceedings of the Data Science and Classification, 2006

A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative.

[BibT_eX]

[DOI]

Prax. Inf.verarb. Kommun., 2006

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

[BibT_eX]

[DOI]

J. Comput., 2006

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Object Identification with Constraints.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Relational Ensemble Classification.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Attribute Aware Anonymous Recommender Systems.

[BibT_eX]

[DOI]

Manuel Stritt

Proceedings of the Advances in Data Analysis, 2006

Ideas and Improvements for Semantic Wikis.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web: Research and Applications, 2006

2005

Performance Drivers for Depth-First Frequent Pattern Mining.

[BibT_eX]

[DOI]

Martin Schader

Proceedings of the Data Analysis and Decision Support, 2005

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

[BibT_eX]

[DOI]

Ferenc Bodon

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Compound Classification Models for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Fachinformationssystem Informatik (FIS-I) und Semantische Technologien für Informationsportale (SemIPort).

[BibT_eX]

Proceedings of the 35. Jahrestagung der Gesellschaft für Informatik, 2005

Attribute-aware Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

Collaborative and Usage-Driven Evolution of Personal Ontologies.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web: Research and Applications, 2005

Ontology-Based Query Refinement for Semantic Portals.

[BibT_eX]

[DOI]

Proceedings of the From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments, 2005

2004

Reservation Price Estimation by Adaptive Conjoint Analysis.

[BibT_eX]

[DOI]

Christoph Breidert

Michael Hahsler

Proceedings of the Classification, 2004

Algorithmic Features of Eclat.

[BibT_eX]

[DOI]

Proceedings of the FIMI '04, 2004

Taxonomy-driven computation of product recommendations.

[BibT_eX]

[DOI]

Cai-Nicolas Ziegler

Georg Lausen

Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004

2003

Assoziationsregel-Algorithmen für Daten mit komplexer Struktur: mit Anwendungen im Web Mining.

[BibT_eX]

[DOI]

PhD thesis, 2003

Java - eine Einführung (4. Aufl.).

[BibT_eX]

[DOI]

Martin Schader

Springer, ISBN: 978-3-540-00663-3, 2003

2001

Mining Generalized Association Rules for Sequential and Path Data.

[BibT_eX]

[DOI]

Wolfgang Gaul