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  • 2020

    CG-GAN: An Interactive Evolutionary GAN-Based Approach for Facial Composite Generation

    Zaltron, N., Zurlo, L. & Risi, S., 1 apr. 2020, Proceedings of the AAAI Conference on Artificial Intelligence. 03 udg. Association for the Advancement of Artificial Intelligence, Bind 34. s. 2544-2551 8 s. (Proceedings of the AAAI Conference on Artificial Intelligence).

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  • Composable Sketches for Functions of Frequencies: Beyond the Worst Case

    Cohen, E., Geri, O. & Pagh, R., 2020, Proceedings of the 37 th International Conference on Machine Learning. ML Research Press

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  • Confirmation Sampling for Exact Nearest Neighbor Search

    Christiani, T. L., Pagh, R. & Thorup, M., 2020, SISAP 2020: Similarity Search and Applications. Springer, s. 97-110 (Lecture Notes in Computer Science, Bind 12440).

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  • DaNewsroom: A Large-scale Danish Summarisation Dataset

    Varab, D. & Schluter, N., apr. 2020, Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). European Language Resources Association, s. 6731–6739

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  • Detection and Resolution of Rumors and Misinformation with NLP

    Derczynski, L. & Zubiaga, A., dec. 2020, Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts. Barcelona, Spain (Online): Association for Computational Linguistics, s. 22-26

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  • Fair Near Neighbor Search: Independent Range Sampling in High Dimensions. PODS

    Aumüller, M., Pagh, R. & Silvestri, F., 2020, PODS'20: Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems. Association for Computing Machinery, s. 191–204

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  • Finding Game Levels with the Right Difficulty in a Few Trials through Intelligent Trial-and-Error

    González-Duque, M., Berg Palm, R., Ha, D. & Risi, S., 2020, Proceedings of the 2020 IEEE Conference on Games (CoG). IEEE, s. 503-510 8 s.

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  • Label Likelihood Maximisation: Adapting iris segmentation models using domain adaptation

    Eskildsen, A. M. & Hansen, D. W., 2020, ETRA '20 Full Papers: ACM Symposium on Eye Tracking Research and Applications. Association for Computing Machinery, s. 1-9 9 s. 5

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  • Learning a Behavioral Repertoire from Demonstrations

    Justesen, N., González-Duque, M., Cabarcas, D., Mouret, J.-B. & Risi, S., 2020, Proceedings of the 2020 IEEE Conference on Games. IEEE, s. 383-390 8 s.

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  • Maintaining quality in FEVER annotation

    Schulte, H., Binau, J. & Derczynski, L., 9 jul. 2020, Proceedings of the Third Workshop on Fact Extraction and VERification (FEVER): Association for Computational Linguistics. Association for Computational Linguistics, s. 42-46

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  • Oblivious Sketching of High-Degree Polynomial Kernels

    Ahle, T. D., Kapralov, M., Knudsen, J. B. T., Pagh, R., Velingker, A., Woodruff, D. & Zandieh, A., 2020, SODA '20: Proceedings of the Thirty-First Annual ACM-SIAM Symposium on Discrete Algorithms. Association for Computing Machinery, 20 s.

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  • Offensive Language and Hate Speech Detection for Danish

    Sigurbergsson, G. & Derczynski, L., 1 maj 2020, Proceedings of the International Conference on Language Resources and Evaluation: LREC 2020. European Language Resources Association, s. 3498–3508

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  • On the causality between affective impact and coordinated human-robot reactions

    Frederiksen, M. R. & Støy, K., 31 aug. 2020, 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE, s. 488-494 8 s.

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  • On the I/O Complexity of the k-Nearest Neighbors Problem

    Goswami, M., Jacob, R. & Pagh, R., jun. 2020, PODS'20: Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems. Association for Computing Machinery, s. 205-212 (ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems).

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  • Private Aggregation from Fewer Anonymous Messages

    Ghazi, B., Manurangsi, P., Pagh, R. & Velingker, A., 2020, Advances in Cryptology – EUROCRYPT 2020. Springer, s. 798-827 (Lecture Notes in Computer Science, Bind 12106).

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  • Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead

    Ghazi, B., Kumar, R., Manurangsi, P. & Pagh, R., 2020, Proceedings of the 37th International Conference on Machine Learning. ML Research Press

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  • Pure Differentially Private Summation from Anonymous Messages

    Ghazi, B., Golowich, N., Kumar, R., Manurangsi, P., Pagh, R. & Velingker, A., 2020, 1st Conference on Information-Theoretic Cryptography (ITC 2020). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, s. 15:1–15:23 (Leibniz International Proceedings in Informatics, Bind 163).

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  • Robots can defuse high-intensity conflict situations

    Frederiksen, M. R. & Støy, K., 25 okt. 2020, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, s. 11376-11382 8 s.

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  • SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)

    Zampieri, M., Nakov, P., Rosenthal, S., Atanasova, P., Karadzhov, G., Mubarak, H., Derczynski, L., Pitenis, Z. & Coltekin, C., dec. 2020, Proceedings of the Fourteenth Workshop on Semantic Evaluation. Barcelona (online): Association for Computational Linguistics, s. 1425-1447 23 s.

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  • SHR++: An Interface for Morpho-syntactic annotation of Sanskrit Corpora

    Krishna, A., Vidhyut, S., Chawla, D., Sambhavi, S. & Goyal, P., feb. 2020, Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020),. Association for Computational Linguistics, s. 7069–7076

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  • The Rumour Mill: Making the Spread of Misinformation Explicit and Tangible

    Inie, N., Falk Olesen, J. & Derczynski, L., apr. 2020, The ACM CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery

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  • The space complexity of inner product filters

    Pagh, R. & Sivertsen, J. V. T., 2020, 23rd International Conference on Database Theory (ICDT 2020). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, s. 22:1–22:14 (Leibniz International Proceedings in Informatics (LIPIcs), Bind 155).

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  • WOR and p’s: Sketches for Lp-sampling Without Replacement

    Cohen, E., Pagh, R. & Woodruff, D., 2020, 34th Conference on Neural Information Processing Systems (NeurIPS 2020). Neural Information Processing Systems

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  • 2019

    A Decomposed Fourier-Motzkin Elimination Framework to Derive Vessel Capacity Models

    Ajspur, M. L., Jensen, R. M. & Andersen, K. H., 30 sep. 2019, Proceedings of the 10th International Conference on Computational Logistics (ICCL19). Springer, s. 85-100 16 s. (Lecture Notes in Computer Science, Bind 11756).

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  • Aiming for the quiet eye in biathlon

    Hansen, D. W., Heinrich, A. & Cañal-Bruland, R., 2019, ETRA '19: Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications. European Conference on Eye Movements: Association for Computing Machinery, s. 1-8 8 s. 10

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  • A systematic comparison of affective robot expression modalities

    Bidragets oversatte titel: Systematisk sammenligning af affektive robotters udtryksformerFrederiksen, M. R. & Støy, K., 12 dec. 2019, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems 2019. IEEE, 8 s.

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  • Bornholmsk Natural Language Processing: Resources and Tools

    Derczynski, L. & Kjeldsen, A. S., 2019, Proceedings of the Nordic Conference of Computational Linguistics (2019). Linköping University Press, s. 338–344 (NEALT (Northern European Association of Language Technology) Proceedings Series).

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  • Fragile Complexity of Comparison-Based Algorithms

    Afshani, P., Fagerberg, R., Hammer, D. M. G., Jacob, R., Kostitsyna, I., Meyer, U., Penschuck, M. & Sitchinava, N., 9 sep. 2019, 27th Annual European Symposium on Algorithms (ESA 2019). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, s. 2:1–2:19 2. (Leibniz International Proceedings in Informatics (LIPIcs)).

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  • Hardness of Bichromatic Closest Pair with Jaccard Similarity

    Pagh, R., Nielsen, N. M. S. & Thorup, M., 2019, LIPIcs - Leibniz International Proceedings in Informatics - 27th Annual European Symposium on Algorithms (ESA 2019). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, Bind 144. s. 80:1–80:13 13 s. 80. (Leibniz International Proceedings in Informatics).

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  • Joint Rumour Stance and Veracity Prediction

    Edelbo Lillie, A., Middelboe, E. R. & Derczynski, L., 2019, Nordic Conference of Computational Linguistics (2019). Linköping University Press, s. 208–221 (NEALT (Northern European Association of Language Technology) Proceedings Series).

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  • Lower Bounds for Oblivious Data Structures

    Jacob, R., Larsen, K. G. & Nielsen, J. B., 6 jan. 2019, Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics

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  • Misinformation on Twitter During the Danish National Election: A Case Study

    Derczynski, L., Albert-Lindqvist, T. O., Bendsen, M. V., Inie, N., Pedersen, J. E. & Pedersen, V. D., 4 okt. 2019, Proceedings of the conference on Truth and Trust Online.

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  • MIWAE: Deep Generative Modelling and Imputation of Incomplete Data

    Mattei, P.-A. & Frellsen, J., 2019, Proceedings of the 36th International Conference on Machine Learning, PMLR . Bind 97. s. 4413-4423

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  • Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation

    Wiqvist, S., Mattei, P.-A., Picchini, U. & Frellsen, J., 2019, Proceedings of the 36th International Conference on Machine Learning, PMLR. Bind 97. s. 6798-6807

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  • Political Stance in Danish

    Lehmann, R. & Derczynski, L., 2019, Proceedings of the Nordic Conference of Computational Linguistics (2019). Linköping University Press, s. 197–207 (NEALT (Northern European Association of Language Technology) Proceedings Series).

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  • PUFFINN: Parameterless and Universally Fast FInding of Nearest Neighbors

    Christiani, T. L., Pagh, R., Aumüller, M. & Vesterli, M. E., 2019, 27th Annual European Symposium on Algorithms (ESA 2019). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, s. 1-16 16 s. 10

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  • Quantifying the morphosyntactic content of Brown Clusters

    Ciosici, M., Derczynski, L. & Assent, I., jun. 2019, Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, Bind 1. s. 1541–1550 N19-1157

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  • Recurrent models and lower bounds for projective syntactic decoding

    Schluter, N., 2019, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, Bind Volume 1 (Long and Short Papers). s. 251-260 10 s.

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  • SemEval-2019 Task 7: RumourEval 2019: Determining Rumour Veracity and Support for Rumours

    Gorrell, G., Kochkina, E., Liakata, M., Aker, A., Zubiaga, A., Bontcheva, K. & Derczynski, L., 7 jun. 2019, Proceedings of the 13th International Workshop on Semantic Evaluation: NAACL HLT 2019. Association for Computational Linguistics, s. 845-854

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  • Space-efficient Feature Maps for String Alignment Kernels

    Tabei, Y., Yamanishi, Y. & Pagh, R., 2019, IEEE International Conference on Data Mining (ICDM). IEEE, (IEEE International Conference on Data Mining (ICDM)).

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  • The Lacunae of Danish Natural Language Processing

    Kirkedal, A. S., Plank, B., Derczynski, L. & Schluter, N., 2019, Proceedings of the Nordic Conference of Computational Linguistics (2019). Linköping University Press, s. 356–362 (NEALT (Northern European Association of Language Technology) Proceedings Series).

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  • Uncalibrated Non-Rigid Factorisation by Independent Subspace Analysis

    Brandt, S. S., Ackermann, H. & Grasshof, S., 27 okt. 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE

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  • 2018

    Baselines and test data for cross-lingual inference

    Agic, Z. & Schluter, N., 7 maj 2018, Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). European Language Resources Association, s. 3890-3894 5 s.

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  • Cache Oblivious Sparse Matrix Multiplication

    Dusefante, M. & Jacob, R., 13 mar. 2018, Latin American Symposium on Theoretical Informatics: LATIN 2018: Theoretical Informatics . Springer, s. 437-447 (Lecture Notes in Computer Science, Bind 10807).

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  • Computational Complexity of Proper Equilibrium

    Hansen, K. A. & Lund, T. B., 2018, Proceedings of the 2018 ACM Conference on Economics and Computation: EC '18. Association for Computing Machinery, s. 113-130

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  • Distance-Sensitive Hashing

    Aumüller, M., Christiani, T. L., Pagh, R. & Silvestri, F., 2018, Proceedings of the 37th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database System. New York, NY, USA: Association for Computing Machinery, s. 89-104 15 s.

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  • Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging

    Plank, B. & Agic, Z., 2018, Proceedings of the Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics

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  • Intrinsic Mortality Governs Evolvability

    Veenstra, F., de Prado Salas, P. G., Bongard, J., Stoy, K. & Risi, S., 2018, Artificial Life Conference Proceedings: ALIFE 2018. MIT Press, s. 242-249 8 s.

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  • IUCM at SemEval-2018 Task 11: Similar-Topic Texts as a Comprehension Knowledge Source

    Reznikova, S. & Derczynski, L., 2018, Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018). Association for Computational Linguistics, s. 1068-1072

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  • Scalable and Robust Set Similarity Join

    Christiani, T. L., Pagh, R. & Sivertsen, J. V. T., 2018, Proceedings of IEEE 34th International Conference on Data Engineering (ICDE). IEEE, (Proceedings of the International Conference on Data Engineering).

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