Rafet Sifa

CoRR, 2023

Informed Named Entity Recognition Decoding for Generative Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Word Sense Disambiguation as a Game of Neurosymbolic Darts.

[BibT_eX]

[DOI]

Tiansi Dong

Mohammad Majd Saad Al Deen

CoRR, 2023

Improving Natural Language Inference in Arabic Using Transformer Models and Linguistically Informed Pre-Training.

[BibT_eX]

[DOI]

Jörn Hees

Bouthaina Soulef Abdou

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Contradiction Detection in Financial Reports.

[BibT_eX]

[DOI]

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

Automatic Consistency Checking of Table and Text in Financial Documents.

[BibT_eX]

[DOI]

Syed Musharraf Ali

Sebastian Houben

Tim Metzler

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

Controlled Randomness Improves the Performance of Transformer Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2023

Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization.

[BibT_eX]

[DOI]

Prithviraj Ammanabrolu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Symmetry-Aware Siamese Network: Exploiting Pathological Asymmetry for Chest X-Ray Analysis.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

sustain.AI: a Recommender System to analyze Sustainability Reports.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

Segmentation and Analysis of Lumbar Spine MRI Scans for Vertebral Body Measurements.

[BibT_eX]

[DOI]

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Towards Linguistically Informed Multi-objective Transformer Pre-training for Natural Language Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2023

Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models.

[BibT_eX]

[DOI]

Lars Hillebrand

Armin Berger

Proceedings of the ACM Symposium on Document Engineering 2023, 2023

A Comparative Analysis of Data Augmentation Approaches for Improved Minority Behavior Detection in Digital Games.

[BibT_eX]

[DOI]

Edwin Yang

Proceedings of the IEEE International Conference on Big Data, 2023

Towards Retention Analysis in NFT-based Blockchain Games.

[BibT_eX]

[DOI]

Fabian Hadiji

Proceedings of the IEEE International Conference on Big Data, 2023

Is one label all you need? Single positive multi-label training in medical image analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

Generating Prototypes for Contradiction Detection Using Large Language Models and Linguistic Rules.

[BibT_eX]

[DOI]

Svetlana Schmidt

Proceedings of the IEEE International Conference on Big Data, 2023

Learning the Dynamics of Concentration Fields in Vascular Stenosis with Deep Hidden Physics Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models.

[BibT_eX]

[DOI]

Thiago Bell Felix De Oliveira

Proceedings of the IEEE International Conference on Big Data, 2023

Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Bounding open space risk with decoupling autoencoders in open set recognition.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2022

Anonymization of German financial documents using neural network-based language models with contextual word representations.

[BibT_eX]

[DOI]

Thiago Bell Felix de Oliveira

Int. J. Data Sci. Anal., 2022

Towards Linguistically Informed Multi-Objective Pre-Training for Natural Language Inference.

[BibT_eX]

[DOI]

CoRR, 2022

Gradient Flows for L2 Support Vector Machine Training.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Symmetry-Aware Pneumonia Detection on Chest X-Rays.

[BibT_eX]

[DOI]

Yannik C. Layer

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Investigating The Scalability of Kernel Minimum Enclosing Balls for Novelty Detection: Algorithms with Empirical Evaluations.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Matching Experts to Questions: A Comparison of Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the LWDA 2022 Workshops: FGWM, 2022

Towards Informed Pre-Training for Critical Error Detection in English-German.

[BibT_eX]

[DOI]

Lisa Pucknat

Proceedings of the LWDA 2022 Workshops: FGWM, 2022

KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

A Linguistic Investigation of Machine Learning based Contradiction Detection Models: An Empirical Analysis and Future Perspectives.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents.

[BibT_eX]

[DOI]

Syed Musharraf Ali

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Improving Chest X-Ray Classification by RNN-based Patient Monitoring.

[BibT_eX]

[DOI]

Helen Schneider

Benjamin Wulff

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Zero-Shot Text Matching for Automated Auditing using Sentence Transformers.

[BibT_eX]

[DOI]

Bernd Kliem

Rüdiger Loitz

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Datastack: Unification of Heterogeneous Machine Learning Dataset Interfaces.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering Workshops, 2022

From Open Set Recognition Towards Robust Multi-class Classification.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Information Fusion, 2022

Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation.

[BibT_eX]

[DOI]

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

DOTA 2 match prediction through deep learning team fight models.

[BibT_eX]

[DOI]

Borchuluun Yadamsuren

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

Towards Generating Financial Reports from Tabular Data Using Transformers.

[BibT_eX]

[DOI]

Clayton Leroy Chapman

Proceedings of the Machine Learning and Knowledge Extraction, 2022

Towards automating Numerical Consistency Checks in Financial Reports.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Anomaly Detection in Player Performances in Multiplayer Online Battle Arena Games.

[BibT_eX]

[DOI]

Borchuluun Yadamsuren

Diego Klabjan

Simon Demediuk

Proceedings of the ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14, 2022

Combining Variational Autoencoders and Transformer Language Models for Improved Password Generation.

[BibT_eX]

[DOI]

Kostadin Cvejoski

Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

2021

Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM.

[BibT_eX]

[DOI]

Mach. Learn. Knowl. Extr., 2021

Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization With Evolutionary Algorithms.

[BibT_eX]

[DOI]

IEEE Access, 2021

DIBERT: Dependency Injected Bidirectional Encoder Representations from Transformers.

[BibT_eX]

[DOI]

Abdul Wahab

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Automatic Indexing of Financial Documents via Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Detecting Contradictions in German Text: A Comparative Study.

[BibT_eX]

[DOI]

Lisa Pucknat

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Utilizing Representation Learning for Robust Text Classification Under Datasetshift.

[BibT_eX]

[DOI]

Proceedings of the LWDA 2021 Workshops: FGWM, 2021

Towards Structural Hyperparameter Search in Kernel Minimum Enclosing Balls.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

An Optimization for Convolutional Network Layers Using the Viola-Jones Framework and Ternary Weight Networks.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

Knowledge Graph Based Question Answering System for Financial Securities.

[BibT_eX]

[DOI]

Marius Bulla

Max Lübbering

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

Advances in Password Recovery Using Generative Deep Learning Techniques.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis.

[BibT_eX]

[DOI]

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Decoupling Autoencoders for Robust One-vs-Rest Classification.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

ALiBERT: improved automated list inspection (ALI) with BERT.

[BibT_eX]

[DOI]

Ulrich Warning

Bernd Kliem

Rüdiger Loitz

Proceedings of the DocEng '21: ACM Symposium on Document Engineering 2021, 2021

Predicting Player Churn with Echo State Networks.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

Swords, Data and Balls: Extracting Extreme Behavioural Prototypes with Kernel Minimum Enclosing Balls.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games.

[BibT_eX]

[DOI]

Proceedings of the ACSW '21: 2021 Australasian Computer Science Week Multiconference, 2021

2020

Matrix- and Tensor Factorization for Game Content Recommendation.

[BibT_eX]

[DOI]

Künstliche Intell., 2020

Generative Deep Learning Techniques for Password Generation.

[BibT_eX]

[DOI]

CoRR, 2020

NLPGym - A toolkit for evaluating RL agents on Natural Language Processing Tasks.

[BibT_eX]

[DOI]

CoRR, 2020

Hybrid Ensemble Predictor as Quality Metric for German Text Summarization: Fraunhofer IAIS at GermEval 2020 Task 3.

[BibT_eX]

[DOI]

Eduardo Brito

Proceedings of the 5th Swiss Text Analytics Conference and the 16th Conference on Natural Language Processing, 2020

Adiabatic Quantum Computing for Max-Sum Diversification.

[BibT_eX]

[DOI]

Stefan Wrobel

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

Retention Prediction in Sandbox Games with Bipartite Tensor Factorization.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing, 2020

Novelty Discovery with Kernel Minimum Enclosing Balls.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020

DESICOM as Metaheuristic Search.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020

tanh Neurons Are Bayesian Decision Makers.

[BibT_eX]

[DOI]

Dirk Hecker

Proceedings of the Intelligent Systems and Applications, 2020

Novelty-Guided Reinforcement Learning via Encoded Behaviors.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Problem Solving with Hopfield Networks and Adiabatic Quantum Computing.

[BibT_eX]

[DOI]

Ramsés J. Sánchez

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Supervised Autoencoder Variants for End to End Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Guided Reinforcement Learning via Sequence Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Hopfield Networks for Vector Quantization.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Towards An Empirical and Theoretical Evaluation of Gradient Based Approaches for finding Kernel Minimum Enclosing Balls.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Adapting Established Text Representations for Predicting Review Sentiment in Turkish.

[BibT_eX]

[DOI]

Izel Çavusoglu

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Shells within Minimum Enclosing Balls.

[BibT_eX]

[DOI]

Michael Bortz

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Extraction, 2020

A Clustering Backed Deep Learning Approach for Document Layout Analysis.

[BibT_eX]

[DOI]

Rhys Agombar

Max Lübbering

Proceedings of the Machine Learning and Knowledge Extraction, 2020

2019

A machine learning perspective on unraveling, modeling and predicting player behavior in digital games.

[BibT_eX]

[DOI]

Michael Helfried Schiller

PhD thesis, 2019

Inside the Group: Investigating Social Structures in Player Groups and Their Influence on Activity.

[BibT_eX]

[DOI]

Günter Wallner

Christopher Schinnerl

Alexander Monte Calvo

Johanna Pirker

Michael Helfried Schiller

IEEE Trans. Games, 2019

Beyond the individual: Understanding social structures of an online player matchmaking website.

[BibT_eX]

[DOI]

Günter Wallner

Christopher Schinnerl

Alexander Monte Calvo

Johanna Pirker

Entertain. Comput., 2019

Towards Contradiction Detection in German: a Translation-Driven Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Max-Sum Dispersion via Quantum Annealing.

[BibT_eX]

[DOI]

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

A QUBO Formulation of the k-Medoids Problem.

[BibT_eX]

[DOI]

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

A Community Detection Based Approach for Exploring Patterns in Player Reviews.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Systems and Applications, 2019

Patterns and Outliers in Temporal Point Processes.

[BibT_eX]

[DOI]

César Ali Marin Ojeda

Proceedings of the Intelligent Systems and Applications, 2019

Echo State Networks for Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Prototypes Within Minimum Enclosing Balls.

[BibT_eX]

[DOI]

Tiansi Dong

The trails of Just Cause 2: spatio-temporal player profiling in open-world games.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on the Foundations of Digital Games, 2019

Joint Selection of Central and Extremal Prototypes Based on Kernel Minimum Enclosing Balls.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Towards Automated Auditing with Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Document Engineering 2019, 2019

A Hybrid AI Tool to Extract Key Performance Indicators from Financial Reports for Benchmarking.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Document Engineering 2019, 2019

Two Attempts to Predict Author Gender in Cross-Genre Settings in Dutch.

[BibT_eX]

[DOI]

Eduardo Brito

Proceedings of the Shared Task on Cross-Genre Gender Prediction in Dutch at CLIN29 (GxG@CLIN29) co-located with the 29th Conference on Computational Linguistics in The Netherlands (CLIN29), 2019

A Team Based Player Versus Player Recommender Systems Framework For Player Improvement.

[BibT_eX]

[DOI]

Yaser Norouzzadeh Ravari

Proceedings of the Australasian Computer Science Week Multiconference, 2019

2018

Analyzing player networks in Destiny.

[BibT_eX]

[DOI]

Entertain. Comput., 2018

Online-only friends, real-life friends or strangers? Differential associations with passion and social capital in video game play.

[BibT_eX]

[DOI]

Comput. Hum. Behav., 2018

Adiabatic Quantum Computing for Kernel k=2 Means Clustering.

[BibT_eX]

[DOI]

Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

Informed Machine Learning Through Functional Composition.

[BibT_eX]

[DOI]

Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

Simple Recurrent Neural Networks for Support Vector Machine Training.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

An Overview of Frank-Wolfe Optimization for Stochasticity Constrained Interpretable Matrix and Tensor Factorization.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Policy Learning Using SPSA.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Customer Lifetime Value Prediction in Non-Contractual Freemium Settings: Chasing High-Value Users Using Deep Neural Networks and SMOTE.

[BibT_eX]

[DOI]

Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

What Moves Players?: Visual Data Exploration of Twitter and Gameplay Data.

[BibT_eX]

[DOI]

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Matrix and Tensor Factorization Based Game Content Recommender Systems: A Bottom-Up Architecture and a Comparative Online Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2018

Controlling the crucible: a novel PvP recommender systems framework for <i>destiny</i>.

[BibT_eX]

[DOI]

Proceedings of the Australasian Computer Science Week Multiconference, 2018

To be or not to be...social: incorporating simple social features in mobile game customer lifetime value predictions.

[BibT_eX]

[DOI]

Proceedings of the Australasian Computer Science Week Multiconference, 2018

2017

Interpretable Matrix Factorization with Stochastic Nonnegative DEDICOM.

[BibT_eX]

[DOI]

Proceedings of the Lernen, 2017

KPCA Embeddings: An Unsupervised Approach to Learn Vector Representations of Finite Domain Sequences.

[BibT_eX]

[DOI]

Eduardo Brito

Proceedings of the Lernen, 2017

Inverse Dynamical Inheritance in Stack Exchange Taxonomies.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Ising Models for Binary Clustering via Adiabatic Quantum Computing.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

Online k-Maxoids Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Exploration and Skill Acquisition in a Major Online Game.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Curiously Motivated: Profiling Curiosity with Self-Reports and Behaviour Metrics in the Game "Destiny".

[BibT_eX]

[DOI]

Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 2017

Predicting Victory in a Hybrid Online Competitive Game: The Case of Destiny.

[BibT_eX]

[DOI]

Yaser Norouzzadeh Ravari

Pieter Spronck

Proceedings of the Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17), 2017

2016

Variable Attention and Variable Noise: Forecasting User Activity.

[BibT_eX]

[DOI]

Proceedings of the Conference "Lernen, 2016

Integrating and Inspecting Combined Behavioral Profiling and Social Network Models in Destiny.

[BibT_eX]

[DOI]

Proceedings of the Entertainment Computing - ICEC 2016, 2016

How Playstyles Evolve: Progression Analysis and Profiling in Just Cause 2.

[BibT_eX]

[DOI]

Proceedings of the Entertainment Computing - ICEC 2016, 2016

Predicting player churn in destiny: A Hidden Markov models approach to predicting player departure in a major online game.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Predicting Retention in Sandbox Games with Tensor Factorization-based Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Stylized facts for mobile game analytics.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Rapid Prediction of Player Retention in Free-to-Play Mobile Games.

[BibT_eX]

[DOI]

Eric Thurston Lundquist

Proceedings of the Twelfth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2016

2015

Clustering Game Behavior Data.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Intell. AI Games, 2015

User Churn Migration Analysis with DEDICOM.

[BibT_eX]

[DOI]

César Ojeda

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

k-Maxoids Clustering.

[BibT_eX]

[DOI]

Proceedings of the LWA 2015 Workshops: KDML, 2015

Predicting Purchase Decisions in Mobile Free-to-Play Games.

[BibT_eX]

[DOI]

Proceedings of the Eleventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2015

Large-Scale Cross-Game Player Behavior Analysis on Steam.

[BibT_eX]

[DOI]

Proceedings of the Eleventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2015

2014

The name in the game: Patterns in character names and gamer tags.

[BibT_eX]

[DOI]

Christian Thurau

Entertain. Comput., 2014

Archetypal Game Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 16th LWA Workshops: KDML, 2014

The Playtime Principle: Large-scale cross-games interest modeling.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

Predicting player churn in the wild.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

Beyond heatmaps: Spatio-temporal clustering using behavior-based partitioning of game levels.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

2013

A comparison of methods for player clustering via behavioral telemetry.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on the Foundations of Digital Games, 2013

Behavior evolution in Tomb Raider Underworld.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013

Archetypical motion: Supervised game behavior learning with Archetypal Analysis.

[BibT_eX]

[DOI]