Publications
- 2024
- Published
Robust Fusion of Time Series and Image Data for Improved Multimodal Clinical Prediction
Rasekh, A., Heidari, R., Hosein Haji Mohammad Rezaie, A., Sharifi Sedeh, P., Ahmadi, Z., Mitra, P. & Nejdl, W., 13 Nov 2024, In: IEEE ACCESS. 12, p. 174107-174121 15 p.Research output: Contribution to journal › Article › Research › peer review
- Published
Harnessing Empathy and Ethics for Relevance Detection and Information Categorization in Climate and COVID-19 Tweets
Upadhyaya, A., Nejdl, W. & Fisichella, M., 21 Oct 2024, CIKM 2024 : Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. p. 4091-4095 5 p.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Open benchmark for filtering techniques in entity resolution
Neuhof, F., Fisichella, M., Papadakis, G., Nikoletos, K., Augsten, N., Nejdl, W. & Koubarakis, M., Sept 2024, In: VLDB Journal. 33, 5, p. 1671-1696 26 p.Research output: Contribution to journal › Article › Research › peer review
- Published
Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE Questions
Roy, S., Khatua, A., Ghoochani, F., Hadler, U., Nejdl, W. & Ganguly, N., 11 Jul 2024, Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. p. 1073-1082 10 p.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
An artificial intelligence-assisted clinical framework to facilitate diagnostics and translational discovery in hematologic neoplasia
Tang, M., Antić, Ž., Fardzadeh, P., Pietzsch, S., Schröder, C., Eberhardt, A., van Bömmel, A., Escherich, G., Hofmann, W., Horstmann, M. A., Illig, T., McCrary, J. M., Lentes, J., Metzler, M., Nejdl, W., Schlegelberger, B., Schrappe, M., Miarka-Walczyk, K., Patsorczak, A., Cario, G., Renard, B. Y., Stanulla, M., Bergmann, A. K. & Zimmermann, M., Jun 2024, In: eBioMedicine. 104, 12 p., 105171.Research output: Contribution to journal › Article › Research › peer review
- Published
Adversarial Mask Explainer for Graph Neural Networks
Zhang, W., Li, X. & Nejdl, W., 13 May 2024, WWW `24 : Proceedings of the ACM Web Conference 2024. p. 861-869 9 p.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
MPSketch: Message Passing Networks via Randomized Hashing for Efficient Attributed Network Embedding
Wu, W., Li, B., Luo, C., Nejdl, W. & Tan, X., May 2024, In: IEEE transactions on cybernetics. 54, 5, p. 2941-2954 14 p.Research output: Contribution to journal › Article › Research › peer review
- Published
FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning
Badar, M., Sikdar, S., Nejdl, W. & Fisichella, M., 24 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 10, p. 10962-10970 9 p.Research output: Contribution to journal › Conference article › Research › peer review
- Published
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
Xiao, J., Basso, L., Nejdl, W., Ganguly, N. & Sikdar, S., 24 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 14, p. 16023-16031 9 p.Research output: Contribution to journal › Conference article › Research › peer review
- Published
TIGQA: An Expert-Annotated Question-Answering Dataset in Tigrinya
Teklehaymanot, H. K., Fazlija, D., Ganguly, N., Patro, G. K. & Nejdl, W., 2024, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation : LREC-COLING 2024. Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). p. 16142-16161 20 p.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
TrustFed: Navigating Trade-offs Between Performance, Fairness, and Privacy in Federated Learning.
Badar, M., Sikdar, S., Nejdl, W. & Fisichella, M., 2024, ECAI. p. 2370-2377 8 p. ( Frontiers in Artificial Intelligence and Applications; vol. 392).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- 2023
- Published
Guest Editorial Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things
Ren, Z., Schuller, B. W., Eskofier, B. M., Nguyen, T. T. & Nejdl, W., Nov 2023, In: IEEE Journal of Biomedical and Health Informatics. 27, 11, p. 5213-5215 3 p.Research output: Contribution to journal › Comment/debate › Research › peer review
- Published
Why do we Hate Migrants? A Double Machine Learning-based Approach
Khatua, A. & Nejdl, W., 5 Sept 2023, Proceedings of the 34th ACM Conference on Hypertext and Social Media. 10 p. 35Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
FAC-fed: Federated adaptation for fairness and concept drift aware stream classification
Badar, M., Nejdl, W. & Fisichella, M., Aug 2023, In: Machine learning. 112, 8, p. 2761-2786 26 p.Research output: Contribution to journal › Article › Research › peer review
- Published
Towards sentiment and Temporal Aided Stance Detection of climate change tweets
Upadhyaya, A., Fisichella, M. & Nejdl, W., Jul 2023, In: Information Processing and Management. 60, 4, 103325.Research output: Contribution to journal › Article › Research › peer review
- Published
A Multi-task Model for Emotion and Offensive Aided Stance Detection of Climate Change Tweets
Upadhyaya, A., Fisichella, M. & Nejdl, W., 30 Apr 2023, ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023. p. 3948-3958 11 p. (ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- E-pub ahead of print
A Review of the Role of Causality in Developing Trustworthy AI Systems
Ganguly, N., Fazlija, D., Badar, M., Fisichella, M., Sikdar, S., Schrader, J., Wallat, J., Rudra, K., Koubarakis, M., Patro, G. K., Zai El Amri, W. & Nejdl, W., 2023, (E-pub ahead of print) (ACM Computing Surveys).Research output: Working paper/Preprint › Preprint
- Published
Benchmarking Filtering Techniques for Entity Resolution
Papadakis, G., Fisichella, M., Schoger, F., Mandilaras, G., Augsten, N. & Nejdl, W., 2023, 2023 IEEE 39th International Conference on Data Engineering: ICDE 2023. IEEE Computer Society, p. 653-666 14 p. (Proceedings - International Conference on Data Engineering; vol. 2023-April).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Efficient ECG-based Atrial Fibrillation Detection via Parameterised Hypercomplex Neural Networks
Basso, L., Ren, Z. & Nejdl, W., 2023, 31st European Signal Processing Conference: EUSIPCO 2023. p. 1375-1379 5 p. (European Signal Processing Conference).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
GENEMASK: Fast Pretraining of Gene Sequences to Enable Few-Shot Learning
Roy, S., Wallat, J., Sundaram, S. S., Nejdl, W. & Ganguly, N., 2023, ECAI 2023 : 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023. Gal, K., Gal, K., Nowe, A., Nalepa, G. J., Fairstein, R. & Radulescu, R. (eds.). p. 2002-2009 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 372).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review