CLICKS: an effective algorithm for mining subspace clusters in categorical datasets. - Mohammed Javeed Zaki; Markus Peters; Ira Assent; Thomas Seidl 001 (KDD, 2005)

Efficient multi-step query processing for EMD-based similarity. - Ira Assent; Thomas Seidl 001 (Content-Based Retrieval, 2006)

Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases. - Ira Assent; Andrea Wenning; Thomas Seidl 001 (ICDE, 2006)

Spatial Multidimensional Sequence Clustering. - Ira Assent; Ralph Krieger; Boris Glavic; Thomas Seidl 001 (ICDM Workshops, 2006)

Adaptable Distance Functions for Similarity-based Multimedia Retrieval. - Ira Assent; Marc Wichterich; Thomas Seidl 001 (Datenbank-Spektrum, 2006)

Subspace outlier mining in large multimedia databases. - Ira Assent; Ralph Krieger; Emmanuel Müller; Thomas Seidl 001 (Parallel Universes and Local Patterns, 2007)

AttentionAttractor: efficient video stream similarity query processing in real time. - Ira Assent; Ralph Krieger; Thomas Seidl 001 (ICDE, 2007)

DUSC: Dimensionality Unbiased Subspace Clustering. - Ira Assent; Ralph Krieger; Emmanuel Müller; Thomas Seidl 001 (ICDM, 2007)

An upper bound for transforming self-verifying automata into deterministic ones. - Ira Assent; Sebastian Seibert (RAIRO Theor. Informatics Appl., 2007)

VISA: visual subspace clustering analysis. - Ira Assent; Ralph Krieger; Emmanuel Müller; Thomas Seidl 001 (SIGKDD Explor., 2007)

EDSC: efficient density-based subspace clustering. - Ira Assent; Ralph Krieger; Emmanuel Müller; Thomas Seidl 001 (CIKM, 2008)

Outlier detection and ranking based on subspace clustering. - Thomas Seidl 001; Emmanuel Müller; Ira Assent; Uwe Steinhausen (Uncertainty Management in Information Systems, 2008)

The TS-tree: efficient time series search and retrieval. - Ira Assent; Ralph Krieger; Farzad Afschari; Thomas Seidl 001 (EDBT, 2008)

Efficient similarity search using the Earth Mover's Distance for large multimedia databases. - Ira Assent; Marc Wichterich; Tobias Meisen; Thomas Seidl 001 (ICDE, 2008)

OutRank: ranking outliers in high dimensional data. - Emmanuel Müller; Ira Assent; Uwe Steinhausen; Thomas Seidl 001 (ICDE Workshops, 2008)

INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy. - Ira Assent; Ralph Krieger; Emmanuel Müller; Thomas Seidl 001 (ICDM, 2008)

Morpheus: interactive exploration of subspace clustering. - Emmanuel Müller; Ira Assent; Ralph Krieger; Timm Jansen; Thomas Seidl 001 (KDD, 2008)

SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters. - Ira Assent; Ralph Krieger; Petra Welter; Jörg Herbers; Thomas Seidl 001 (PAKDD, 2008)

Pleiades: Subspace Clustering and Evaluation. - Ira Assent; Emmanuel Müller; Ralph Krieger; Timm Jansen; Thomas Seidl 001 (ECML/PKDD (2), 2008)

Efficient EMD-based similarity search in multimedia databases via flexible dimensionality reduction. - Marc Wichterich; Ira Assent; Philipp Kranen; Thomas Seidl 001 (SIGMOD Conference, 2008)

Public microarray repository semantic annotation with ontologies employing text mining and expression profile correlation. - David Ruau; Corinna Kolárik; Heinz-Theodor Mevissen; Emmanuel Müller; Ira Assent; Ralph Krieger; Thomas Seidl 001; Martin Hofmann-Apitius; Martin Zenke (BMC Bioinform., 2008)

Clustering multidimensional sequences in spatial and temporal databases. - Ira Assent; Ralph Krieger; Boris Glavic; Thomas Seidl 001 (Knowl. Inf. Syst., 2008)

Efficient adaptive retrieval and mining in large multimedia databases. - Ira Assent (2008)

Efficient Adaptive Retrieval and Mining in Large Multimedia Databases. - Ira Assent (BTW, 2009)

High-Dimensional Indexing for Multimedia Features. - Ira Assent; Stephan Günnemann; Hardy Kremer; Thomas Seidl 001 (BTW, 2009)

Indexing density models for incremental learning and anytime classification on data streams. - Thomas Seidl 001; Ira Assent; Philipp Kranen; Ralph Krieger; Jennifer Herrmann (EDBT, 2009)

Actively Building Private Recommender Networks for Evolving Reliable Relationships. - Ira Assent (ICDE, 2009)

Self-Adaptive Anytime Stream Clustering. - Philipp Kranen; Ira Assent; Corinna Baldauf; Thomas Seidl 001 (ICDM, 2009)

Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data. - Emmanuel Müller; Ira Assent; Stephan Günnemann; Ralph Krieger; Thomas Seidl 001 (ICDM, 2009)

DensEst: Density Estimation for Data Mining in High Dimensional Spaces. - Emmanuel Müller; Ira Assent; Ralph Krieger; Stephan Günnemann; Thomas Seidl 001 (SDM, 2009)

Robust Adaptable Video Copy Detection. - Ira Assent; Hardy Kremer (SSTD, 2009)

HSM: Heterogeneous Subspace Mining in High Dimensional Data. - Emmanuel Müller; Ira Assent; Thomas Seidl 001 (SSDBM, 2009)

Anticipatory DTW for Efficient Similarity Search in Time Series Databases. - Ira Assent; Marc Wichterich; Ralph Krieger; Hardy Kremer; Thomas Seidl 001 (Proc. VLDB Endow., 2009)

Evaluating Clustering in Subspace Projections of High Dimensional Data. - Emmanuel Müller; Stephan Günnemann; Ira Assent; Thomas Seidl 001 (Proc. VLDB Endow., 2009)

Speeding Up Complex Video Copy Detection Queries. - Ira Assent; Hardy Kremer; Thomas Seidl 001 (DASFAA (1), 2010)

Pattern detector: fast detection of suspicious stream patterns for immediate reaction. - Ira Assent; Hardy Kremer; Stephan Günnemann; Thomas Seidl 001 (EDBT, 2010)

Mining and representing recommendations in actively evolving recommender systems. - Ira Assent (ICDE Workshops, 2010)

Detecting outliers on arbitrary data streams using anytime approaches. - Ira Assent; Philipp Kranen; Corinna Baldauf; Thomas Seidl 001 (StreamKDD@KDD, 2010)

Effiziente Ähnlichkeitssuche und Data Mining in großen Multimediadatenbanken (Efficient Adaptive Retrieval and Mining in Large Multimedia Databases). - Ira Assent (it Inf. Technol., 2010)

A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases. - Emmanuel Müller; Ira Assent; Stephan Günnemann; Patrick Gerwert; Matthias Hannen; Timm Jansen; Thomas Seidl 001 (BTW, 2011)

External evaluation measures for subspace clustering. - Stephan Günnemann; Ines Färber; Emmanuel Müller; Ira Assent; Thomas Seidl 001 (CIKM, 2011)

Scalable density-based subspace clustering. - Emmanuel Müller; Ira Assent; Stephan Günnemann; Thomas Seidl 001 (CIKM, 2011)

An Unbiased Distance-Based Outlier Detection Approach for High-Dimensional Data. - Hoang Vu Nguyen; Vivekanand Gopalkrishnan; Ira Assent (DASFAA (1), 2011)

Effective Privacy-Preserving Online Route Planning. - Carmen Ruiz Vicente; Ira Assent; Christian S. Jensen (Mobile Data Management (1), 2011)

Content-Based Multimedia Retrieval in the Presence of Unknown User Preferences. - Christian Beecks; Ira Assent; Thomas Seidl 001 (MMM (1), 2011)

Efficient Processing of Multiple DTW Queries in Time Series Databases. - Hardy Kremer; Stephan Günnemann; Anca Maria Ivanescu; Ira Assent; Thomas Seidl 001 (SSDBM, 2011)

The ClusTree: indexing micro-clusters for anytime stream mining. - Philipp Kranen; Ira Assent; Corinna Baldauf; Thomas Seidl 001 (Knowl. Inf. Syst., 2011)

Efficient Density-Based Subspace Clustering in High Dimensions. - Ira Assent (CHDD, 2012)

AnyOut: Anytime Outlier Detection on Streaming Data. - Ira Assent; Philipp Kranen; Corinna Baldauf; Thomas Seidl 001 (DASFAA (1), 2012)

Outlier Ranking via Subspace Analysis in Multiple Views of the Data. - Emmanuel Müller; Ira Assent; Patricia Iglesias Sánchez; Yvonne Mülle; Klemens Böhm (ICDM, 2012)

Multiple Clustering Views via Constrained Projections. - Xuan-Hong Dang; Ira Assent; James Bailey 001 (MultiClust@SDM, 2012)

An Index-Inspired Algorithm for Anytime Classification on Evolving Data Streams. - Philipp Kranen; Ira Assent; Thomas Seidl 001 (Datenbank-Spektrum, 2012)

Outsourced Similarity Search on Metric Data Assets. - Man Lung Yiu; Ira Assent; Christian S. Jensen; Panos Kalnis (IEEE Trans. Knowl. Data Eng., 2012)

Clustering high dimensional data. - Ira Assent (WIREs Data Mining Knowl. Discov., 2012)

SkyView: a user evaluation of the skyline operator. - Matteo Magnani; Ira Assent; Kasper Hornbæk; Mikkel R. Jakobsen; Ken Friis Larsen (CIKM, 2013)

Efficient GPU-based skyline computation. - Kenneth S. Bøgh; Ira Assent; Matteo Magnani (DaMoN, 2013)

From stars to galaxies: skyline queries on aggregate data. - Matteo Magnani; Ira Assent (EDBT, 2013)

Explaining Outliers by Subspace Separability. - Barbora Micenková; Raymond T. Ng; Xuan-Hong Dang; Ira Assent (ICDM, 2013)

Local Outlier Detection with Interpretation. - Xuan-Hong Dang; Barbora Micenková; Ira Assent; Raymond T. Ng (ECML/PKDD (3), 2013)

Outlier Detection with Space Transformation and Spectral Analysis. - Ira Assent; Xuan-Hong Dang; Barbora Micenková; Raymond T. Ng (SDM, 2013)

Frequent Pattern Mining Algorithms for Data Clustering. - Arthur Zimek; Ira Assent; Jilles Vreeken (Frequent Pattern Mining, 2014)

Hashcube: A Data Structure for Space- and Query-Efficient Skycube Compression. - Kenneth S. Bøgh; Sean Chester; Darius Sidlauskas; Ira Assent (CIKM, 2014)

On the Suitability of Skyline Queries for Data Exploration. - Sean Chester; Michael L. Mortensen; Ira Assent (EDBT/ICDT Workshops, 2014)

Discriminative features for identifying and interpreting outliers. - Xuan-Hong Dang; Ira Assent; Raymond T. Ng; Arthur Zimek; Erich Schubert (ICDE, 2014)

Taking the Big Picture: representative skylines based on significance and diversity. - Matteo Magnani; Ira Assent; Michael L. Mortensen (VLDB J., 2014)

Explanations for Skyline Query Results. - Sean Chester; Ira Assent (EDBT, 2015)

Efficient caching for constrained skyline queries. - Michael L. Mortensen; Sean Chester; Ira Assent; Matteo Magnani (EDBT, 2015)

Scalable parallelization of skyline computation for multi-core processors. - Sean Chester; Darius Sidlauskas; Ira Assent; Kenneth S. Bøgh (ICDE, 2015)

Learning Representations for Outlier Detection on a Budget. - Barbora Micenková; Brian McWilliams; Ira Assent (CoRR, 2015)

MultiClust special issue on discovering, summarizing and using multiple clusterings. - Emmanuel Müller; Ira Assent; Stephan Günnemann; Thomas Seidl 001; Jennifer G. Dy (Mach. Learn., 2015)

Work-Efficient Parallel Skyline Computation for the GPU. - Kenneth S. Bøgh; Sean Chester; Ira Assent (Proc. VLDB Endow., 2015)

Anytime OPTICS: An Efficient Approach for Hierarchical Density-Based Clustering. - Son T. Mai; Ira Assent; Anh Le (DASFAA (1), 2016)

Maximum Coverage Representative Skyline. - Malene Søholm; Sean Chester; Ira Assent (EDBT, 2016)

AnyDBC: An Efficient Anytime Density-based Clustering Algorithm for Very Large Complex Datasets. - Son T. Mai; Ira Assent; Martin Storgaard (KDD, 2016)

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. - Guilherme Oliveira Campos; Arthur Zimek; Jörg Sander 001; Ricardo J. G. B. Campello; Barbora Micenková; Erich Schubert; Ira Assent; Michael E. Houle (Data Min. Knowl. Discov., 2016)

MultiClust 2013: Multiple Clusterings, Multiview Data, and Multisource Knowledgedriven Clustering: [Workshop Report]. - Ira Assent; Carlotta Domeniconi; Francesco Gullo; Andrea Tagarelli; Arthur Zimek (SIGKDD Explor., 2016)

SkyAlign: a portable, work-efficient skyline algorithm for multicore and GPU architectures. - Kenneth S. Bøgh; Sean Chester; Ira Assent (VLDB J., 2016)

Interactive Exploration of Subspace Clusters for High Dimensional Data. - Jesper Kristensen; Son T. Mai; Ira Assent; Jon Jacobsen; Bay Vo; Anh Le (DEXA (1), 2017)

Scalable and Interactive Graph Clustering Algorithm on Multicore CPUs. - Son T. Mai; Martin Storgaard Dieu; Ira Assent; Jon Jacobsen; Jesper Kristensen; Mathias Skovgaard Birk (ICDE, 2017)

TABOO: Detecting Unstructured Sensitive Information Using Recursive Neural Networks. - Jan Neerbek; Ira Assent; Peter Dolog (ICDE, 2017)

Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures. - Kenneth S. Bøgh; Sean Chester; Darius Sidlauskas; Ira Assent (SIGMOD Conference, 2017)

Abbreviation Expander - a Web-based System for Easy Reading of Technical Documents. - Manuel R. Ciosici; Ira Assent (COLING (Demos), 2018)

Using Balancing Terms to Avoid Discrimination in Classification. - Simon Aagaard Enni; Ira Assent (ICDM, 2018)

Detecting Complex Sensitive Information via Phrase Structure in Recursive Neural Networks. - Jan Neerbek; Ira Assent; Peter Dolog (PAKDD (3), 2018)

Anytime parallel density-based clustering. - Son T. Mai; Ira Assent; Jon Jacobsen; Martin Storgaard Dieu (Data Min. Knowl. Discov., 2018)

Interactive Exploration of Subspace Clusters on Multicore Processors. - The Hai Pham; Jesper Kristensen; Son T. Mai; Ira Assent; Jon Jacobsen; Bay Vo; Anh Le (Trans. Large Scale Data Knowl. Centered Syst., 2018)

Processing Satellite Imagery for Decision-Making in Precision Agriculture. - Panagiotis Bouros; Ira Assent; Jacob Jeppesen; Thomas Skjødeberg Toftegaard (EDBT/ICDT Workshops, 2019)

Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation. - Manuel R. Ciosici; Ira Assent (NAACL-HLT (Demonstrations), 2019)

Quantifying the morphosyntactic content of Brown Clusters. - Manuel R. Ciosici; Leon Derczynski; Ira Assent (NAACL-HLT (1), 2019)

Selective Training: A Strategy for Fast Backpropagation on Sentence Embeddings. - Jan Neerbek; Peter Dolog; Ira Assent (PAKDD (3), 2019)

Unsupervised Abbreviation Disambiguation Contextual disambiguation using word embeddings. - Manuel R. Ciosici; Tobias Sommer; Ira Assent (CoRR, 2019)

Synchronization-based clustering on evolving data stream. - Junming Shao; Yue Tan; Lianli Gao; Qinli Yang; Claudia Plant; Ira Assent (Inf. Sci., 2019)

Scalable Interactive Dynamic Graph Clustering on Multicore CPUs. - Son T. Mai; Sihem Amer-Yahia; Ira Assent; Mathias Skovgaard Birk; Martin Storgaard Dieu; Jon Jacobsen; Jesper Kristensen (IEEE Trans. Knowl. Data Eng., 2019)

Active Learning of SVDD Hyperparameter Values. - Holger Trittenbach; Klemens Böhm; Ira Assent (DSAA, 2020)

One of these words is not like the other: a reproduction of outlier identification using non-contextual word representations. - Jesper Brink Andersen; Mikkel Bak Bertelsen; Mikkel Hørby Schou; Manuel R. Ciosici; Ira Assent (Eval4NLP, 2020)

Accelerated High-Quality Mutual-Information Based Word Clustering. - Manuel R. Ciosici; Ira Assent; Leon Derczynski (LREC, 2020)

A Real-World Data Resource of Complex Sensitive Sentences Based on Documents from the Monsanto Trial. - Jan Neerbek; Morten Eskildsen; Peter Dolog; Ira Assent (LREC, 2020)

Introduction to the special issue of the ECML PKDD 2020 journal track. - Ira Assent; Carlotta Domeniconi; Aristides Gionis; Eyke Hüllermeier (Data Min. Knowl. Discov., 2020)

Weakly-Supervised Cloud Detection with Fixed-Point GANs. - Joachim Nyborg; Ira Assent (IEEE BigData, 2021)

ECINN: Efficient Counterfactuals from Invertible Neural Networks. - Frederik Hvilshøj; Alexandros Iosifidis; Ira Assent (BMVC, 2021)

A reproduction of Apple's bi-directional LSTM models for language identification in short strings. - Mads Toftrup; Søren Asger Sørensen; Manuel R. Ciosici; Ira Assent (EACL (Student Research Workshop), 2021)

GPU-INSCY: A GPU-Parallel Algorithm and Tree Structure for Efficient Density-based Subspace Clustering. - Jakob Rødsgaard Jørgensen; Katrine Scheel; Ira Assent (EDBT, 2021)

Direct Analytics of Generalized Deduplication Compressed IoT Data. - Aaron Hurst; Qi Zhang 013; Daniel E. Lucani; Ira Assent (GLOBECOM, 2021)

Learning by Design: Structuring and Documenting the Human Choices in Machine Learning Development. - Simon Enni; Ira Assent (CoRR, 2021)

On Quantitative Evaluations of Counterfactuals. - Frederik Hvilshøj; Alexandros Iosifidis; Ira Assent (CoRR, 2021)

TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation. - Joachim Nyborg; Charlotte Pelletier; Sébastien Lefèvre; Ira Assent (CoRR, 2021)

TextBenDS: a Generic Textual Data Benchmark for Distributed Systems. - Ciprian-Octavian Truica; Elena Simona Apostol; Jérôme Darmont; Ira Assent (Inf. Syst. Frontiers, 2021)

Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding. - Joachim Nyborg; Charlotte Pelletier; Ira Assent (CVPR Workshops, 2022)

AVID: GPU-enabled Visual Analytics with GPU-FAST-PROCLUS. - Jakob Rødsgaard Jørgensen; Ira Assent; Hans-Jörg Schulz (EDBT, 2022)

GPU-FAST-PROCLUS: A Fast GPU-parallelized Approach to Projected Clustering. - Jakob Rødsgaard Jørgensen; Katrine Scheel; Ira Assent; Ajeet Ram Pathak; Anne C. Elster (EDBT, 2022)

From Demo to Design in Teaching Machine Learning. - Karl-Emil Kjær Bilstrup; Magnus Høholt Kaspersen; Ira Assent; Simon Aagaard Enni; Marianne Graves Petersen (FAccT, 2022)

GiDR-DUN; Gradient Dimensionality Reduction - Differences and Unification. - Andrew Draganov; Tyrus Berry; Jakob Rødsgaard Jørgensen; Katrine Scheel Nellemann; Ira Assent; Davide Mottin (CoRR, 2022)

Incremental Density-Based Clustering on Multicore Processors. - Son T. Mai; Jon Jacobsen; Sihem Amer-Yahia; Ivor T. A. Spence; Nhat-Phuong Tran; Ira Assent; Quoc Viet Hung Nguyen (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Recommendation fairness and where to find it: An empirical study on fairness of user recommender systems. - Antonela Tommasel; Ira Assent (IEEE Big Data, 2023)

EGG-SynC: Exact GPU-parallelized Grid-based Clustering by Synchronization. - Jakob Rødsgaard Jørgensen; Ira Assent (EDBT, 2023)

Anchoring Fine-tuning of Sentence Transformer with Semantic Label Information for Efficient Truly Few-shot Classification. - Amalie Brogaard Pauli; Leon Derczynski; Ira Assent (EMNLP, 2023)

SGD Biased towards Early Important Samples for Efficient Training. - Alessio Quercia; Abigail Morrison; Hanno Scharr; Ira Assent (ICDM, 2023)

ActUp: Analyzing and Consolidating tSNE and UMAP. - Andrew Draganov; Jakob Rødsgaard Jørgensen; Katrine Scheel; Davide Mottin; Ira Assent; Tyrus Berry; Çigdem Aslay (IJCAI, 2023)

Connecting the Dots - Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering. - Anna Beer 001; Andrew Draganov; Ellen Hohma; Philipp Jahn 001; Christian M. M. Frey; Ira Assent (KDD, 2023)

Re2Dan: Retrieval of Medical Documents for e-Health in Danish. - Antonela Tommasel; Rafael Pablos-Sarabia; Ira Assent (RecSys, 2023)

Sren Kierkegaard at SemEval-2023 Task 4: Label-aware text classification using Natural Language Inference. - Ignacio Talavera Cepeda; Amalie Brogaard Pauli; Ira Assent (SemEval@ACL, 2023)

TeamAmpa at SemEval-2023 Task 3: Exploring Multilabel and Multilingual RoBERTa Models for Persuasion and Framing Detection. - Amalie Brogaard Pauli; Rafael Pablos-Sarabia; Leon Derczynski; Ira Assent (SemEval@ACL, 2023)

RainAI - Precipitation Nowcasting from Satellite Data. - Rafael Pablos-Sarabia; Joachim Nyborg; Morten Birk; Ira Assent (CoRR, 2023)

GLEAN: Generalized-Deduplication-Enabled Approximate Edge Analytics. - Aaron Hurst; Daniel E. Lucani; Ira Assent; Qi Zhang 013 (IEEE Internet Things J., 2023)

UCoDe: unified community detection with graph convolutional networks. - Atefeh Moradan; Andrew Draganov; Davide Mottin; Ira Assent (Mach. Learn., 2023)

Semantic grounding of LLMs using knowledge graphs for query reformulation in medical information retrieval. - Antonela Tommasel; Ira Assent (IEEE Big Data, 2024)

DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics. - Anna Beer 001; Olivér Palotás; Andrea Maldonado 001; Andrew Draganov; Ira Assent (ICDE, 2024)

HUNIPU: Efficient Hungarian Algorithm on IPUs. - Cheng Huang; Alexander Mathiasen; Josef Dean; Davide Mottin; Ira Assent (ICDEW, 2024)

A Web Framework for Explainable and Malleable Visualisation. - Simon Malthe Hansen; Ira Assent; Hans-Jörg Schulz (EuroVis (Posters), 2024)

Wiki Entity Summarization Benchmark. - Saeedeh Javadi; Atefeh Moradan; Mohammad Sorkhpar; Klim Zaporojets; Davide Mottin; Ira Assent (CoRR, 2024)

Temporal Subspace Clustering for Molecular Dynamics Data. - Anna Beer 001; Martin Heinrigs; Claudia Plant; Ira Assent (CoRR, 2024)

Multi-Source Temporal Attention Network for Precipitation Nowcasting. - Rafael Pablos-Sarabia; Joachim Nyborg; Morten Birk; Jeppe Liborius Sjørup; Anders Lillevang Vesterholt; Ira Assent (CoRR, 2024)

InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time Series. - Viet-Hung Tran; Zichi Zhang; Tuan Dung Pham; Ngoc Phu Doan; Anh-Tuan Hoang; Peixin Li; Hans Vandierendonck; Ira Assent; Son T. Mai (AAAI, 2025)

Causal Banzhaf Value for aggregate query explanations. - Pouya Khani; Ira Assent (DOLAP, 2025)

FairDen: Fair Density-Based Clustering. - Lena Krieger 001; Anna Beer 001; Pernille Matthews; Anneka Myrup Thiesson; Ira Assent (ICLR, 2025)

Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language. - Amalie Brogaard Pauli; Isabelle Augenstein; Ira Assent (NAACL (Long Papers), 2025)

Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks. - Alessio Quercia; Erenus Yildiz; Zhuo Cao; Kai Krajsek; Abigail Morrison; Ira Assent; Hanno Scharr (WACV, 2025)

Untapping the Power of Indirect Relationships in Entity Summarization. - Atefeh Moradan; Mohammad Sorkhpar; Atsushi Miyauchi 001; Davide Mottin; Ira Assent (WSDM, 2025)

Random Erasing vs. Model Inversion: A Promising Defense or a False Hope? - Viet-Hung Tran; Ngoc-Bao Nguyen; Son T. Mai; Hans Vandierendonck; Ira Assent; Alex C. Kot; Ngai-Man Cheung (Trans. Mach. Learn. Res., 2025)

I Want 'Em All (At Once) - Ultrametric Cluster Hierarchies. - Andrew Draganov; Pascal Weber 001; Rasmus Skibdahl Melanchton Jørgensen; Anna Beer 001; Claudia Plant; Ira Assent (CoRR, 2025)

A Meta-Evaluation of Style and Attribute Transfer Metrics. - Amalie Brogaard Pauli; Isabelle Augenstein; Ira Assent (CoRR, 2025)

DISCO: Internal Evaluation of Density-Based Clustering. - Anna Beer 001; Lena Krieger 001; Pascal Weber 001; Martin Ritzert; Ira Assent; Claudia Plant (CoRR, 2025)

1LoRA: Summation Compression for Very Low-Rank Adaptation. - Alessio Quercia; Zhuo Cao; Arya Bangun; Richard D. Paul; Abigail Morrison; Ira Assent; Hanno Scharr (CoRR, 2025)

RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours. - Rafael Pablos-Sarabia; Joachim Nyborg; Morten Birk; Jeppe Liborius Sjørup; Anders Lillevang Vesterholt; Ira Assent (CoRR, 2025)

EMERGE: A Benchmark for Updating Knowledge Graphs with Emerging Textual Knowledge. - Klim Zaporojets; Daniel Daza; Edoardo Barba; Ira Assent; Roberto Navigli; Paul Groth (CoRR, 2025)

Participatory AI: A Scandinavian Approach to Human-Centered AI. - Niklas Elmqvist; Eve E. Hoggan; Hans-Jörg Schulz; Marianne Graves Petersen; Peter Dalsgaard; Ira Assent; Olav W. Bertelsen; Akhil Arora 001; Kaj Grønbæk; Susanne Bødker; Clemens Nylandsted Klokmose; Rachel Charlotte Smith; et al. (CoRR, 2025)

LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching. - Zhuo Cao; Xuan Zhao; Lena Krieger 001; Hanno Scharr; Ira Assent (CoRR, 2025)

Galaxy Morphology Classification with Counterfactual Explanation. - Zhuo Cao; Lena Krieger 001; Hanno Scharr; Ira Assent (CoRR, 2025)

Focal Sampling: SGD biased towards early important samples for efficient image classification with augmentation selection. - Alessio Quercia; Fernanda Nader; Abigail Morrison; Hanno Scharr; Ira Assent (Knowl. Inf. Syst., 2025)