Lars Schmidt-Thieme

Orcid: 0000-0001-5729-6023

Affiliations:
  • University of Hildesheim, Institute of Computer Science, Germany


According to our database1, Lars Schmidt-Thieme authored at least 267 papers between 2001 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Structure-aware decoupled imputation network for multivariate time series.
Data Min. Knowl. Discov., May, 2024

Learning attentive attribute-aware node embeddings in dynamic environments.
Int. J. Data Sci. Anal., March, 2024

Marginalization Consistent Mixture of Separable Flows for Probabilistic Irregular Time Series Forecasting.
CoRR, 2024

Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting.
CoRR, 2024

Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training.
CoRR, 2024

Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting.
CoRR, 2024

ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing.
CoRR, 2024

Probabilistic Forecasting of Irregular Time Series via Conditional Flows.
CoRR, 2024

Moco: A Learnable Meta Optimizer for Combinatorial Optimization.
CoRR, 2024

Hyperparameter Tuning MLP's for Probabilistic Time Series Forecasting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

GraFITi: Graphs for Forecasting Irregularly Sampled Time Series.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Sparse self-attention guided generative adversarial networks for time-series generation.
Int. J. Data Sci. Anal., October, 2023

Context-Aware Sequential Model for Multi-Behaviour Recommendation.
CoRR, 2023

Towards Comparable Active Learning.
CoRR, 2023

Routing Arena: A Benchmark Suite for Neural Routing Solvers.
CoRR, 2023

Too Big, so Fail? - Enabling Neural Construction Methods to Solve Large-Scale Routing Problems.
CoRR, 2023

Forecasting Irregularly Sampled Time Series using Graphs.
CoRR, 2023

Phantom Embeddings: Using Embedding Space for Model Regularization in Deep Neural Networks.
CoRR, 2023

ConvMix: Combining Intermediate Latent Features in Deep Convolutional Neural Networks.
Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

Few-Shot Human Motion Prediction for Heterogeneous Sensors.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

DeepStay: Stay Region Extraction from Location Trajectories Using Weak Supervision.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Forecasting Early with Meta Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

Deep Multi-Representation Model for Click-Through Rate Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2023

Neural Capacitated Clustering.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series.
Proceedings of the IEEE International Conference on Big Data, 2023

Pricing Used Vehicles at Volkswagen Financial Services AG.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Multi-script handwritten digit recognition using multi-task learning.
J. Intell. Fuzzy Syst., 2022

Put Attention to Temporal Saliency Patterns of Multi-Horizon Time Series.
CoRR, 2022

Auxiliary Quantile Forecasting with Linear Networks.
CoRR, 2022

Tripletformer for Probabilistic Interpolation of Asynchronous Time Series.
CoRR, 2022

Offline Handwritten Amharic Character Recognition Using Few-shot Learning.
CoRR, 2022

When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development.
CoRR, 2022

End-to-End Image-Based Fashion Recommendation.
CoRR, 2022

Large Neighborhood Search based on Neural Construction Heuristics.
CoRR, 2022

CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention.
CoRR, 2022

Improving Amharic Handwritten Word Recognition Using Auxiliary Task.
CoRR, 2022

A.I. and Data-Driven Mobility at Volkswagen Financial Services AG.
CoRR, 2022

Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size.
CoRR, 2022

Context and Attribute-Aware Sequential Recommendation via Cross-Attention.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Learning to Control Local Search for Combinatorial Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Few-Shot Forecasting of Time-Series with Heterogeneous Channels.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Attention, Filling in the Gaps for Generalization in Routing Problems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Offline Handwritten Amharic Character Recognition Using Few-Shot Learning.
Proceedings of the Pan-African Conference on Artificial Intelligence - First Conference, 2022

Open Set Recognition for Time Series Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Deep Level Annotation for Painter Attribution on Greek Vases utilizing Object Detection.
Proceedings of the SUMAC@MM 2022: Proceedings of the 4th ACM International workshop on Structuring and Understanding of Multimedia heritAge Contents, 2022

Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning.
Proceedings of the KI 2022: Advances in Artificial Intelligence, 2022

Does Self-Supervised Pretraining Really Match ImageNet Weights?
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Parting With Illusions About Synthetic Data.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Zero-shot AutoML with Pretrained Models.
Proceedings of the International Conference on Machine Learning, 2022

DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Positive-Unlabeled Domain Adaptation.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

FastSiam: Resource-Efficient Self-supervised Learning on a Single GPU.
Proceedings of the Pattern Recognition, 2022

On the Potential of Using ERP Business and System Data for Fraud Detection.
Proceedings of the IEEE International Conference on Big Data, 2022

GQFormer: A Multi-Quantile Generative Transformer for Time Series Forecasting.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Dataset2Vec: learning dataset meta-features.
Data Min. Knowl. Discov., 2021

Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting.
CoRR, 2021

Improving Hyperparameter Optimization by Planning Ahead.
CoRR, 2021

Deep Metric Learning for Ground Images.
CoRR, 2021

Hyperparameter Optimization with Differentiable Metafeatures.
CoRR, 2021

Do We Really Need Deep Learning Models for Time Series Forecasting?
CoRR, 2021

A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

RP-DQN: An Application of Q-Learning to Vehicle Routing Problems.
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.
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.
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.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Multimodal Meta-Learning for Time Series Regression.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021

Predicting Parking Availability from Mobile Payment Transactions with Positive Unlabeled Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention.
CoRR, 2020

HIDRA: Head Initialization across Dynamic targets for Robust Architectures.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Automation of Leasing Vehicle Return Assessment Using Deep Learning Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Self-supervised Learning for Semi-supervised Time Series Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Optimal Topology Search for Fast Model Averaging in Decentralized Parallel SGD.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Phantom Embeddings: Using Embeddings Space for Model Regularization in Deep Neural Networks.
Proceedings of the Conference "Lernen, 2020

A machine learning approach to infer on-street parking occupancy based on parking meter transactions.
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.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Chameleon: Learning Model Initializations Across Tasks With Different Schemas.
CoRR, 2019

Handwritten Amharic Character Recognition Using a Convolutional Neural Network.
CoRR, 2019

Hyp-RL : Hyperparameter Optimization by Reinforcement Learning.
CoRR, 2019

In Hindsight: A Smooth Reward for Steady Exploration.
CoRR, 2019

Learning Surrogate Losses.
CoRR, 2019

Data-Driven Vehicle Trajectory Forecasting.
CoRR, 2019

Attribute-aware non-linear co-embeddings of graph features.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

A Deep Multi-task Approach for Residual Value Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Ring-Star: A Sparse Topology for Faster Model Averaging in Decentralized Parallel SGD.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Hybrid Convolutional Approach for Parking Availability Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2019

Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights.
Proceedings of the Agents and Artificial Intelligence - 11th International Conference, 2019

Multi-Label Network Classification via Weighted Personalized Factorizations.
Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

Gait Verification using Deep Learning with a Pairwise Loss.
Proceedings of the 2019 International Conference of the Biometrics Special Interest Group, 2019

Multi-step Forecasting via Multi-task Learning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Directly Optimizing IoU for Bounding Box Localization.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018
Scalable Gaussian process-based transfer surrogates for hyperparameter optimization.
Mach. Learn., 2018

NeuralWarp: Time-Series Similarity with Warping Networks.
CoRR, 2018

Towards Distributed Pairwise Ranking using Implicit Feedback.
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.
Expert Syst. Appl., 2017

Channel masking for multivariate time series shapelets.
CoRR, 2017

Automatic Frankensteining: Creating Complex Ensembles Autonomously.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Personalized Tag Recommendation for Images Using Deep Transfer Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Personalized Deep Learning for Tag Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Finding Hierarchy of Topics from Twitter Data.
Proceedings of the Lernen, 2017

On Discovering the Number of Document Topics via Conceptual Latent Space.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Latent Time-Series Motifs.
ACM Trans. Knowl. Discov. Data, 2016

Fast classification of univariate and multivariate time series through shapelet discovery.
Knowl. Inf. Syst., 2016

Bank Card Usage Prediction Exploiting Geolocation Information.
CoRR, 2016

Multi-Relational Learning at Scale with ADMM.
CoRR, 2016

Perceived Task-Difficulty Recognition from Log-file Information for the Use in Adaptive Intelligent Tutoring Systems.
Int. J. Artif. Intell. Educ., 2016

Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Scalable Hyperparameter Optimization with Products of Gaussian Process Experts.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Matrix Factorization for Near Real-time Geolocation Prediction in Twitter Stream.
Proceedings of the Conference "Lernen, 2016

Learning Thesaurus Relations from Distributional Features.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Hyperparameter Optimization Machines.
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.
Proceedings of the Computers Supported Education - 8th International Conference, 2016

Student Progress Modeling with Skills Deficiency Aware Kalman Filters.
Proceedings of the CSEDU 2016, 2016

Integrating Distributional and Lexical Information for Semantic Classification of Words using MRMF.
Proceedings of the COLING 2016, 2016

Learning DTW-Shapelets for Time-Series Classification.
Proceedings of the 3rd IKDD Conference on Data Science, 2016

Near Real-time Geolocation Prediction in Twitter Streams via Matrix Factorization Based Regression.
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.
User Model. User Adapt. Interact., 2015

Learning Through Non-linearly Supervised Dimensionality Reduction.
Trans. Large Scale Data Knowl. Centered Syst., 2015

Scalable Classification of Repetitive Time Series Through Frequencies of Local Polynomials.
IEEE Trans. Knowl. Data Eng., 2015

Beyond Manual Tuning of Hyperparameters.
Künstliche Intell., 2015

Ultra-Fast Shapelets for Time Series Classification.
CoRR, 2015

Scalable Discovery of Time-Series Shapelets.
CoRR, 2015

Optimal Time-Series Motifs.
CoRR, 2015

Learning Data Set Similarities for Hyperparameter Optimization Initializations.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Hyperparameter Optimization with Factorized Multilayer Perceptrons.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Geo_ML @ MediaEval Placing Task 2015.
Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015

Comparing Prediction Models for Active Learning in Recommender Systems.
Proceedings of the LWA 2015 Workshops: KDML, 2015

Multi-relational Factorization Models for Student Modeling in Intelligent Tutoring Systems.
Proceedings of the 2015 Seventh International Conference on Knowledge and Systems Engineering, 2015

Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Sequential Model-Free Hyperparameter Tuning.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Transfer Learning Approach for Applying Matrix Factorization to Small ITS Datasets.
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.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Recognizing Perceived Task Difficulty from Speech and Pause Histograms.
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.
Proceedings of the Design for Teaching and Learning in a Networked World, 2015

Learning hyperparameter optimization initializations.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Recognizing Perceived Task Difficulty from Speech, Pause Histograms.
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.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Invariant time-series factorization.
Data Min. Knowl. Discov., 2014

Buried pipe localization using an iterative geometric clustering on GPR data.
Artif. Intell. Rev., 2014

Supervised Nonlinear Factorizations Excel In Semi-supervised Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Collective Matrix Factorization of Predictors, Neighborhood and Targets for Semi-supervised Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Improved Questionnaire Trees for Active Learning in Recommender Systems.
Proceedings of the 16th LWA Workshops: KDML, 2014

Local Feature Extractors Accelerating HNNP for Phoneme Recognition.
Proceedings of the KI 2014: Advances in Artificial Intelligence, 2014

Learning time-series shapelets.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Realistic optimal policies for energy-efficient train driving.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Automatic Subclasses Estimation for a Better Classification with HNNP.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

An SVM Plait for Improving Affect Recognition in Intelligent Tutoring Systems.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Analyzing cooperative lane change models for connected vehicles.
Proceedings of the International Conference on Connected Vehicles and Expo, 2014

Minimal Invasive Integration of Learning Analytics Services in Intelligent Tutoring Systems.
Proceedings of the IEEE 14th International Conference on Advanced Learning Technologies, 2014

Matrix Factorization Feasibility for Sequencing and Adaptive Support in Intelligent Tutoring Systems.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

Multimodal Affect Recognition for Adaptive Intelligent Tutoring Systems.
Proceedings of the Workshops held at Educational Data Mining 2014, 2014

Feature Analysis for Affect Recognition Supporting Task Sequencing in Adaptive Intelligent Tutoring Systems.
Proceedings of the Open Learning and Teaching in Educational Communities, 2014

Adaptive Content Sequencing without Domain Information.
Proceedings of the CSEDU 2014, 2014

Vygotsky Based Sequencing Without Domain Information: A Matrix Factorization Approach.
Proceedings of the Computer Supported Education - 6th International Conference, 2014

Optimizing Multi-Relational Factorization Models for Multiple Target Relations.
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.
Proceedings of the Classification and Data Mining, 2013

Time-Series Classification Through Histograms of Symbolic Polynomials.
CoRR, 2013

Invariant Factorization Of Time-Series.
CoRR, 2013

Towards real-time collaborative filtering for big fast data.
Proceedings of the 22nd International World Wide Web Conference, 2013

Supervised Clustering of Social Media Streams.
Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 2013

Towards Optimal Active Learning for Matrix Factorization in Recommender Systems.
Proceedings of the LWA 2013. Lernen, 2013

Analysing the Potential Impact of Labeling Disagreements for Engineering Sensor Data.
Proceedings of the LWA 2013. Lernen, 2013

Move Prediction in Go - Modelling Feature Interactions Using Latent Factors.
Proceedings of the KI 2013: Advances in Artificial Intelligence, 2013

Factorized Decision Trees for Active Learning in Recommender Systems.
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.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Event Prediction in Pharyngeal High-Resolution Manometry.
Proceedings of the Data Science, 2013

P2P RVM for Distributed Classification.
Proceedings of the Data Science, 2013

Hough Transform and Kirchhoff Migration for Supervised GPR Data Analysis.
Proceedings of the Data Science, 2013

Supervised Dimensionality Reduction via Nonlinear Target Estimation.
Proceedings of the Data Warehousing and Knowledge Discovery, 2013

2012
Personalized Ranking for Non-Uniformly Sampled Items.
Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012

GRAMOFON: General model-selection framework based on networks.
Neurocomputing, 2012

Multi-relational matrix factorization using bayesian personalized ranking for social network data.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Using factorization machines for student modeling.
Proceedings of the Workshop and Poster Proceedings of the 20th Conference on User Modeling, 2012

Factorization techniques for student performance classification and ranking.
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.
Proceedings of the ACM Symposium on Applied Computing, 2012

Exploiting the characteristics of matrix factorization for active learning in recommender systems.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Real-time top-n recommendation in social streams.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Invariant Time-Series Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

GamRec: A Clustering Method Using Geometrical Background Knowledge for GPR Data Preprocessing.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Efficient Classification of Long Time-Series.
Proceedings of the ICT Innovations 2012, 2012

Multinomial SVM Item Recommender for Repeat-Buying Scenarios.
Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

A Unifying Framework for GPR Image Reconstruction.
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.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Classification of Sparse Time Series via Supervised Matrix Factorization.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Recommender Systems for Social Tagging Systems.
Springer Briefs in Electrical and Computer Engineering, Springer, ISBN: 978-1-4614-1894-8, 2012

2011
Social Tagging Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2011

Fast context-aware recommendations with factorization machines.
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.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

INSIGHT: Efficient and Effective Instance Selection for Time-Series Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

RFID-Enhanced Museum for Interactive Experience.
Proceedings of the Multimedia for Cultural Heritage - First International Workshop, 2011

Non-myopic active learning for recommender systems based on Matrix Factorization.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011

A new evaluation measure for learning from imbalanced data.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Keyword-Based TV Program Recommendation.
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.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Personalized Forecasting Student Performance.
Proceedings of the ICALT 2011, 2011

Fast Classification of Electrocardiograph Signals via Instance Selection.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011

Fusion of Similarity Measures for Time Series Classification.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

Factorization Models for Forecasting Student Performance.
Proceedings of the 4th International Conference on Educational Data Mining, 2011

Active Learning for Technology Enhanced Learning.
Proceedings of the Towards Ubiquitous Learning, 2011

Matrix and Tensor Factorization for Predicting Student Performance.
Proceedings of the CSEDU 2011, 2011

Active learning for aspect model in recommender systems.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

IQ estimation for accurate time-series classification.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010
Recommender system for predicting student performance.
Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning, 2010

Factorizing personalized Markov chains for next-basket recommendation.
Proceedings of the 19th International Conference on World Wide Web, 2010

Pairwise interaction tensor factorization for personalized tag recommendation.
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.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

A Novel Multidimensional Framework for Evaluating Recommender Systems.
Proceedings of the LWA 2010, 2010

Mining Music Playlogs for Next Song Recommendations.
Proceedings of the LWA 2010, 2010

Cost-sensitive learning methods for imbalanced data.
Proceedings of the International Joint Conference on Neural Networks, 2010

Learning Attribute-to-Feature Mappings for Cold-Start Recommendations.
Proceedings of the ICDM 2010, 2010

Graph-Based Model-Selection Framework for Large Ensembles.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Individualized Error Estimation for Classification and Regression Models.
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.
Proceedings of the DOLAP 2010, 2010

Time-Series Classification Based on Individualised Error Prediction.
Proceedings of the 13th IEEE International Conference on Computational Science and Engineering, 2010

2009
Optimal Ranking for Video Recommendation.
Proceedings of the User Centric Media - First International Conference, 2009

BPR: Bayesian Personalized Ranking from Implicit Feedback.
Proceedings of the UAI 2009, 2009

Factor Models for Tag Recommendation in BibSonomy.
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.
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.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Learning optimal ranking with tensor factorization for tag recommendation.
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.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Cross-tagging for personalized open social networking.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Automatic Content-Based Categorization of Wikipedia Articles.
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.
Knowl. Inf. Syst., 2008

Emergence of Spontaneous Order Through Neighborhood Formation in Peer-to-Peer Recommender Systems
CoRR, 2008

Tag recommendations in social bookmarking systems.
AI Commun., 2008

Folksonomy-Based Collabulary Learning.
Proceedings of the Semantic Web - ISWC 2008, 7th International Semantic Web Conference, 2008

Tag-aware recommender systems by fusion of collaborative filtering algorithms.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Online-updating regularized kernel matrix factorization models for large-scale recommender systems.
Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Scaling Record Linkage to Non-uniform Distributed Class Sizes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Motif-Based Classification of Time Series with Bayesian Networks and SVMs.
Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

2007
Guest Editors' Introduction: Recommender Systems.
IEEE Intell. Syst., 2007

Supporting collaborative hierarchical classification: Bookmarks as an example.
Comput. Networks, 2007

Tag Recommendations in Folksonomies.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Combining multi-distributed mixture models and bayesian networks for semi-supervised learning.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Information Integration of Partially Labeled Data.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

Collaborative Tag Recommendations.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

Comparison of Recommender System Algorithms Focusing on the New-item and User-bias Problem.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

2006
Empirical Analysis of Attribute-Aware Recommendation Algorithms with Variable Synthetic Data.
Proceedings of the Data Science and Classification, 2006

A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative.
Prax. Inf.verarb. Kommun., 2006

Empirical Analysis of Attribute-Aware Recommender System Algorithms Using Synthetic Data.
J. Comput., 2006

Evaluation of Attribute-Aware Recommender System Algorithms on Data with Varying Characteristics.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Object Identification with Constraints.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

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

Attribute Aware Anonymous Recommender Systems.
Proceedings of the Advances in Data Analysis, 2006

Ideas and Improvements for Semantic Wikis.
Proceedings of the Semantic Web: Research and Applications, 2006

2005
Performance Drivers for Depth-First Frequent Pattern Mining.
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.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Compound Classification Models for Recommender Systems.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005


Attribute-aware Collaborative Filtering.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

Collaborative and Usage-Driven Evolution of Personal Ontologies.
Proceedings of the Semantic Web: Research and Applications, 2005

Ontology-Based Query Refinement for Semantic Portals.
Proceedings of the From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments, 2005

2004
Reservation Price Estimation by Adaptive Conjoint Analysis.
Proceedings of the Classification, 2004

Algorithmic Features of Eclat.
Proceedings of the FIMI '04, 2004

Taxonomy-driven computation of product recommendations.
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.
PhD thesis, 2003

Java - eine Einführung (4. Aufl.).
Springer, ISBN: 978-3-540-00663-3, 2003

2001
Mining Generalized Association Rules for Sequential and Path Data.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001


  Loading...