Michael Hahsler

50 papers A 1C 3Misc 2Journal 25Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dropout Robustness and Cognitive Profiling of Transformer Models via Stochastic Inference. CoRR Antônio Junior Alves Caiado, Michael Hahsler
2025	—	`conf`	A Recommender System Architecture for University Curriculum Advising. AAAI Spring Symposia Zerui Ma, Michael Hahsler, Peter Moore
2025	J	`jnl`	Pomdp: A Computational Infrastructure for Partially Observable Markov Decision Processes. R J. Michael Hahsler, Anthony R. Cassandra
2023	J	`jnl`	AI Content Self-Detection for Transformer-based Large Language Models. CoRR Antônio Junior Alves Caiado, Michael Hahsler
2023	J	`jnl`	ARULESPY: Exploring Association Rules and Frequent Itemsets in Python. CoRR Michael Hahsler
2023	J	`jnl`	Mining association rules for classification using frequent generator itemsets in arules package. Int. J. Data Min. Model. Manag. Makhlouf Ledmi, Mohammed El Habib Souidi, Michael Hahsler, Abdeldjalil Ledmi, Chafia Kara-Mohamed
2022	J	`jnl`	recommenderlab: An R Framework for Developing and Testing Recommendation Algorithms. CoRR Michael Hahsler
2020	J	`jnl`	Swapped face detection using deep learning and subjective assessment. EURASIP J. Inf. Secur. Xinyi Ding, Zohreh Raziei, Eric C. Larson, Eli V. Olinick, Paul Krueger, Michael Hahsler
2019	J	`jnl`	Associative Classification in R: arc, arulesCBA, and rCBA. R J. Michael Hahsler, Ian Johnson, Tomás Kliegr, Jaroslav Kuchar
2019	J	`jnl`	Swapped Face Detection using Deep Learning and Subjective Assessment. CoRR Xinyi Ding, Zohreh Raziei, Eric C. Larson, Eli V. Olinick, Paul Krueger, Michael Hahsler
2017	J	`jnl`	An experimental comparison of seriation methods for one-mode two-way data. Eur. J. Oper. Res. Michael Hahsler
2017	J	`jnl`	Polymorphic malware detection using sequence classification methods and ensembles. EURASIP J. Inf. Secur. Jake Drew, Michael Hahsler, Tyler Moore
2017	J	`jnl`	arulesViz: Interactive Visualization of Association Rules with R. R J. Michael Hahsler
2016	J	`jnl`	Clustering Data Streams Based on Shared Density between Micro-Clusters. IEEE Trans. Knowl. Data Eng. Michael Hahsler, Matthew Bolaños
2016	—	`conf`	Polymorphic Malware Detection Using Sequence Classification Methods. IEEE Symposium on Security and Privacy Workshops Jake Drew, Tyler Moore, Michael Hahsler
2015	C	`conf`	Association rule mining of gene ontology annotation terms for SGD. CIBCB Anurag Nagar, Michael Hahsler, Hisham Al-Mubaid
2015	Misc	`conf`	Trajectory Segmentation Using Oblique Envelopes. IRI Sudheer Chelluboina, Michael Hahsler
2013	J	`jnl`	Fast discovery and visualization of conserved regions in DNA sequences using quasi-alignment. BMC Bioinform. Anurag Nagar, Michael Hahsler
2013	—	`conf`	Genomic Sequence Fragment Identification using Quasi-Alignment. BCB Anurag Nagar, Michael Hahsler
2012	—	`conf`	A novel quasi-alignment-based method for discovering conserved regions in genetic sequences. BIBM Workshops Anurag Nagar, Michael Hahsler
2012	Misc	`conf`	Analyzing incomplete biological pathways using network motifs. SAC Maya El Dayeh, Michael Hahsler
2012	C	`conf`	Biological pathway completion using network motifs and random walks on graphs. CIBCB Maya El Dayeh, Michael Hahsler
2012	—	`conf`	Clustering Large Datasets Using Data Stream Clustering Techniques. GfKl Matthew Bolaños, John Forrest, Michael Hahsler
2012	—	`conf`	SOStream: Self Organizing Density-Based Clustering over Data Stream. MLDM Charlie Isaksson, Margaret H. Dunham, Michael Hahsler
2011	—	`conf`	Evaluating Hurricane Intensity Prediction Techniques in Real Time. ICDM Workshops Vladimir Jovanovic, Margaret H. Dunham, Michael Hahsler, Yu Su
2011	A	`conf`	Temporal Structure Learning for Clustering Massive Data Streams in Real-Time. SDM Michael Hahsler, Margaret H. Dunham
2011	J	`jnl`	The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets. J. Mach. Learn. Res. Michael Hahsler, Sudheer Chelluboina, Kurt Hornik, Christian Buchta
2010	—	`conf`	A New Data Mining Model for Hurricane Intensity Prediction. ICDM Workshops Yu Su, Sudheer Chelluboina, Michael Hahsler, Margaret H. Dunham
2010	J	`jnl`	Analyzing taxonomic classification using extensible Markov models. Bioinform. Rao M. Kotamarti, Michael Hahsler, Douglas Raiford, Monnie McGee, Margaret H. Dunham
2010	J	`jnl`	Novel data stream pattern mining report on the StreamKDD'10 workshop. SIGKDD Explor. Margaret H. Dunham, Michael Hahsler, Myra Spiliopoulou
2010	—	`ed.`	Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques, StreamKDD '10, Washington, D.C., USA, July 25, 2010 StreamKDD@KDD Margaret H. Dunham, Michael Hahsler, Myra Spiliopoulou
2010	C	`conf`	Sequence transformation to a complex signature form for consistent phylogenetic tree using Extensible Markov Model. CIBCB Rao M. Kotamarti, Michael Hahsler, Douglas W. Raiford, Margaret H. Dunham
2008	J	`jnl`	A Model-Based Frequency Constraint for Mining Associations from Transaction Data CoRR Michael Hahsler
2008	J	`jnl`	New probabilistic interest measures for association rules CoRR Michael Hahsler, Kurt Hornik
2008	J	`jnl`	Optimizing Web Sites for Customer Retention CoRR Michael Hahsler
2008	J	`jnl`	Selective association rule generation CoRR Michael Hahsler, Christian Buchta, Kurt Hornik
2008	J	`jnl`	Selective association rule generation. Comput. Stat. Michael Hahsler, Christian Buchta, Kurt Hornik
2007	J	`jnl`	New probabilistic interest measures for association rules. Intell. Data Anal. Michael Hahsler, Kurt Hornik
2006	J	`jnl`	A Model-Based Frequency Constraint for Mining Associations from Transaction Data. Data Min. Knowl. Discov. Michael Hahsler
2006	—	`conf`	Adaptive Conjoint Analysis for Pricing Music Downloads. GfKl Christoph Breidert, Michael Hahsler
2006	—	`conf`	Building on the Arules Infrastructure for Analyzing Transaction Data with R. GfKl Michael Hahsler, Kurt Hornik
2005	—	`conf`	Discussion of a Large-Scale Open Source Data Collection Methodology. HICSS Michael Hahsler, Stefan Koch
2005	—	`conf`	Implications of Probabilistic Data Modeling for Mining Association Rules. GfKl Michael Hahsler, Kurt Hornik, Thomas Reutterer
2004	—	`conf`	Reservation Price Estimation by Adaptive Conjoint Analysis. GfKl Christoph Breidert, Michael Hahsler, Lars Schmidt-Thieme
2003	—	`conf`	Data Envelopment Analysis zur Unterstützung der Auswahl und Einführung von ERP-Systemen. Informationswirtschaft: Ein Sektor mit Zukunft Edward Bernroider, Michael Hahsler, Stefan Koch, Volker Stix
2003	J	`jnl`	Integrating Digital Document Acquisition into a University Library: A Case Study of Social and Organizational Challenges. J. Digit. Inf. Manag. Michael Hahsler
2003	—	`conf`	Recommenderdienste für wissenschaftliche Bibliotheken und Bibliotheksverbünde. Informationswirtschaft: Ein Sektor mit Zukunft Andreas Geyer-Schulz, Michael Hahsler, Andreas W. Neumann, Anke Thede
2002	—	`conf`	Comparing Two Recommender Algorithms with the Help of Recommendations by Peers. WebKDD Andreas Geyer-Schulz, Michael Hahsler
2001	—	`conf`	A Customer Purchase Incidence Model Applied to Recommender Services. WebKDD Andreas Geyer-Schulz, Michael Hahsler, Maximillian Jahn
2001	—	`conf`	Wissenschaftliche Recommendersysteme in Virtuellen Universitäten. UH Andreas Geyer-Schulz, Michael Hahsler, Maximillian Jahn