Johannes Fürnkranz

Johannes Kepler University of Linz — Austria

Computer Science · Physical Sciences

44h-index8.2kcitations357works2.82yr avg
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Research Topics

Data Mining Algorithms and Applications(83), Machine Learning and Data Classification(67), Rough Sets and Fuzzy Logic(59), Text and Document Classification Technologies(55), Imbalanced Data Classification Techniques(51)

Publications357 total

La Curia Romana secondo Praedicate evangelium. Tra storia e riforma, written by Sergio F. Aumenta, Roberto Interlandi
ARCHIV FÜR KATHOLISCHES KIRCHENRECHT·2025
SIEBES: A Case Study in Hallucinatory Hagiography
Lecture notes in computer science·2025
Dynamic time warping for classifying long-term trends in time series
Data & Knowledge Engineering·2025· 2 cited
Biasing Rule-Based Explanations Towards User Preferences
Information·2025Open Access
Partial Pre-Post Code Tree: A Memory-Efficient Tree Structure for Conjunctive Rule Mining
2025Open Access
Probabilistic scoring lists for interpretable machine learning
Machine Learning·2025· 1 citedOpen Access
Learning Deep Rule Concepts as Alternating Boolean Pattern Trees
Lecture notes in computer science·2025· 1 cited
Extraction of Semantically Coherent Rules from Interpretable Models
2025· 1 citedOpen Access
On the Potential of Deep Symbolic Models for Classification Problems
Lecture notes in computer science·2025
Learning With Generalised Card Representations for “Magic: The Gathering”
2024· 2 cited
Probabilistic Scoring Lists for Interpretable Machine Learning
arXiv (Cornell University)·2024Open Access
Explainable and interpretable machine learning and data mining
Data Mining and Knowledge Discovery·2024· 39 citedOpen Access
Neural Network-Based Information Set Weighting for Playing Reconnaissance Blind Chess
IEEE Transactions on Games·2024· 1 citedOpen Access
Learning With Generalised Card Representations for "Magic: The Gathering"
arXiv (Cornell University)·2024Open Access
Contrastive Learning of Preferences with a Contextual InfoNCE Loss
arXiv (Cornell University)·2024· 1 citedOpen Access
Efficiently Training Neural Networks for Imperfect Information Games by Sampling Information Sets
arXiv (Cornell University)·2024Open Access
Predictive change point detection for heterogeneous data
Neural Computing and Applications·2024· 3 cited
Learning decision catalogues for situated decision making: The case of scoring systems
International Journal of Approximate Reasoning·2024· 4 citedOpen Access
Dynamic Time Warping for Phase Recognition in Tribological Sensor Data
Lecture notes in computer science·2024
Efficiently Training Neural Networks for Imperfect Information Games by Sampling Information Sets
Lecture notes in computer science·2024
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Frequent Co-authors

Eyke Hüllermeier(11), Eneldo Loza Mencía(8), Sang-Hyeun Park(4), Klaus Brinker(3), Weiwei Cheng(3), Tomáš Kliegr(3), Tobias Scheffer(2), Myra Spiliopoulou(2), Jinseok Nam(2), Christian Wirth(2), Gerhard Neumann(2), Dragan Gamberger(1), Nada Lavrač(1), Gerhard Widmer(1), Hyunwoo J. Kim(1), Alexander K. Seewald(1), Štěpán Bahník(1), Riad Akrour(1), Peter Flach(1), Stijn Vanderlooy(1)