Rafet Sifa
Orcid: 0009-0004-6680-8210
According to our database1,
Rafet Sifa
authored at least 142 papers
between 2012 and 2023.
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Bibliography
2023
SugarViT - Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet.
CoRR, 2023
CoRR, 2023
Improving Natural Language Inference in Arabic Using Transformer Models and Linguistically Informed Pre-Training.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023
Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023
Towards Linguistically Informed Multi-objective Transformer Pre-training for Natural Language Inference.
Proceedings of the Advances in Information Retrieval, 2023
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.
Proceedings of the IEEE International Conference on Big Data, 2023
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.
Proceedings of the IEEE International Conference on Big Data, 2023
Generating Prototypes for Contradiction Detection Using Large Language Models and Linguistic Rules.
Proceedings of the IEEE International Conference on Big Data, 2023
Learning the Dynamics of Concentration Fields in Vascular Stenosis with Deep Hidden Physics Models.
Proceedings of the IEEE International Conference on Big Data, 2023
Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models.
Proceedings of the IEEE International Conference on Big Data, 2023
Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Int. J. Data Sci. Anal., 2022
Anonymization of German financial documents using neural network-based language models with contextual word representations.
Int. J. Data Sci. Anal., 2022
Towards Linguistically Informed Multi-Objective Pre-Training for Natural Language Inference.
CoRR, 2022
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.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the LWDA 2022 Workshops: FGWM, 2022
Proceedings of the LWDA 2022 Workshops: FGWM, 2022
KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports.
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.
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.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
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.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering Workshops, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Proceedings of the 25th International Conference on Information Fusion, 2022
Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022
Proceedings of the Machine Learning and Knowledge Extraction, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
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.
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.
Mach. Learn. Knowl. Extr., 2021
CoRR, 2021
Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization With Evolutionary Algorithms.
IEEE Access, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the LWDA 2021 Workshops: FGWM, 2021
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.
Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021
Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021
Proceedings of the DocEng '21: ACM Symposium on Document Engineering 2021, 2021
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021
Swords, Data and Balls: Extracting Extreme Behavioural Prototypes with Kernel Minimum Enclosing Balls.
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021
Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games.
Proceedings of the ACSW '21: 2021 Australasian Computer Science Week Multiconference, 2021
2020
Künstliche Intell., 2020
CoRR, 2020
Hybrid Ensemble Predictor as Quality Metric for German Text Summarization: Fraunhofer IAIS at GermEval 2020 Task 3.
Proceedings of the 5th Swiss Text Analytics Conference and the 16th Conference on Natural Language Processing, 2020
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Proceedings of the Intelligent Computing, 2020
Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020
Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020
Proceedings of the Intelligent Systems and Applications, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
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.
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.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
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.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020
Adapting Established Text Representations for Predicting Review Sentiment in Turkish.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020
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.
Proceedings of the Machine Learning and Knowledge Extraction, 2020
Proceedings of the Machine Learning and Knowledge Extraction, 2020
2019
A machine learning perspective on unraveling, modeling and predicting player behavior in digital games.
PhD thesis, 2019
Inside the Group: Investigating Social Structures in Player Groups and Their Influence on Activity.
IEEE Trans. Games, 2019
Beyond the individual: Understanding social structures of an online player matchmaking website.
Entertain. Comput., 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019
Proceedings of the Intelligent Systems and Applications, 2019
Proceedings of the Intelligent Systems and Applications, 2019
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
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
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
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.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019
Proceedings of the ACM Symposium on Document Engineering 2019, 2019
A Hybrid AI Tool to Extract Key Performance Indicators from Financial Reports for Benchmarking.
Proceedings of the ACM Symposium on Document Engineering 2019, 2019
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.
Proceedings of the Australasian Computer Science Week Multiconference, 2019
2018
Online-only friends, real-life friends or strangers? Differential associations with passion and social capital in video game play.
Comput. Hum. Behav., 2018
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018
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.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
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.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018
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.
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>.
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.
Proceedings of the Australasian Computer Science Week Multiconference, 2018
2017
Proceedings of the Lernen, 2017
KPCA Embeddings: An Unsupervised Approach to Learn Vector Representations of Finite Domain Sequences.
Proceedings of the Lernen, 2017
Proceedings of the Eleventh International Conference on Web and Social Media, 2017
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
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".
Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 2017
Proceedings of the Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17), 2017
2016
Proceedings of the Conference "Lernen, 2016
Integrating and Inspecting Combined Behavioral Profiling and Social Network Models in Destiny.
Proceedings of the Entertainment Computing - ICEC 2016, 2016
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.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016
Predicting Retention in Sandbox Games with Tensor Factorization-based Representation Learning.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016
Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016
Proceedings of the Twelfth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2016
2015
Proceedings of the 9th ACM Conference on Recommender Systems, 2015
Proceedings of the Eleventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2015
Proceedings of the Eleventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2015
2014
Entertain. Comput., 2014
Proceedings of the 16th LWA Workshops: KDML, 2014
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014
Beyond heatmaps: Spatio-temporal clustering using behavior-based partitioning of game levels.
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014
2013
Proceedings of the 8th International Conference on the Foundations of Digital Games, 2013
Proceedings of the 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013
Proceedings of the 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013
2012
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012
How players lose interest in playing a game: An empirical study based on distributions of total playing times.
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012