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ORCIDCarsten Eickhoff
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- affiliation: University of Tübingen, Germany
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2020 – today
- 2024
[j14]Yuanfei Dai
, Wenzhong Guo, Carsten Eickhoff:
Wasserstein adversarial learning based temporal knowledge graph embedding. Inf. Sci. 659: 120061 (2024)- [c92]Seyed Ali Bahrainian, Jonathan Dou, Carsten Eickhoff:
Text Simplification via Adaptive Teaching. ACL (Findings) 2024: 6574-6584 - [c91]Ruochen Zhang, Carsten Eickhoff:
CroCoSum: A Benchmark Dataset for Cross-Lingual Code-Switched Summarization. LREC/COLING 2024: 4113-4126 - [c90]Jack Merullo, Carsten Eickhoff, Ellie Pavlick:
Circuit Component Reuse Across Tasks in Transformer Language Models. ICLR 2024 - [c89]William Rudman, Carsten Eickhoff:
Stable Anisotropic Regularization. ICLR 2024 - [c88]Tassallah Abdullahi, Ritambhara Singh, Carsten Eickhoff:
Retrieval Augmented Zero-Shot Text Classification. ICTIR 2024: 195-203 - [c87]Jack Merullo, Carsten Eickhoff, Ellie Pavlick:
Language Models Implement Simple Word2Vec-style Vector Arithmetic. NAACL-HLT 2024: 5030-5047 - [c86]Catherine Chen, Carsten Eickhoff:
Evaluating Search System Explainability with Psychometrics and Crowdsourcing. SIGIR 2024: 1051-1061 - [c85]Catherine Chen, Jack Merullo, Carsten Eickhoff:
Axiomatic Causal Interventions for Reverse Engineering Relevance Computation in Neural Retrieval Models. SIGIR 2024: 1401-1410 - [i61]Catherine Chen, Jack Merullo, Carsten Eickhoff:
Axiomatic Causal Interventions for Reverse Engineering Relevance Computation in Neural Retrieval Models. CoRR abs/2405.02503 (2024) - [i60]Jack Merullo, Carsten Eickhoff, Ellie Pavlick:
Talking Heads: Understanding Inter-layer Communication in Transformer Language Models. CoRR abs/2406.09519 (2024) - [i59]Tassallah Abdullahi, Ritambhara Singh, Carsten Eickhoff:
Retrieval Augmented Zero-Shot Text Classification. CoRR abs/2406.15241 (2024) - [i58]Michal Golovanevsky, William Rudman, Vedant Palit, Ritambhara Singh, Carsten Eickhoff:
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Noise-free Text-Image Corruption and Evaluation. CoRR abs/2406.16320 (2024) - [i57]Florian Hellmeier, Kay Brosien, Carsten Eickhoff, Alexander Meyer:
Beyond One-Time Validation: A Framework for Adaptive Validation of Prognostic and Diagnostic AI-based Medical Devices. CoRR abs/2409.04794 (2024) - 2023
- [c84]Sofia Blinova, Xinyu Zhou, Martin Jaggi, Carsten Eickhoff, Seyed Ali Bahrainian:
SIMSUM: Document-level Text Simplification via Simultaneous Summarization. ACL (1) 2023: 9927-9944 - [c83]Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff:
Predictive Uncertainty-based Bias Mitigation in Ranking. CIKM 2023: 762-772 - [c82]Isaac Sears, Augusto Garcia-Agundez, George Zerveas, William Rudman, Laura Mercurio, Corey E. Ventetuolo, Adeel Abbasi, Carsten Eickhoff:
Leveraging Unlabeled Electroencephalographic Data to Predict Neurological Recovery for Comatose Patients Following Cardiac Arrest. CinC 2023: 1-4 - [c81]Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz:
Parameter-efficient Modularised Bias Mitigation via AdapterFusion. EACL 2023: 2730-2743 - [c80]George Zerveas, Navid Rekabsaz, Carsten Eickhoff:
Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors. EMNLP 2023: 10779-10803 - [c79]William Rudman, Catherine Chen, Carsten Eickhoff:
Outlier Dimensions Encode Task Specific Knowledge. EMNLP 2023: 14596-14605 - [c78]Jack Merullo, Louis Castricato, Carsten Eickhoff, Ellie Pavlick:
Linearly Mapping from Image to Text Space. ICLR 2023 - [i56]Ilkay Yildiz Potter, George Zerveas, Carsten Eickhoff, Dominique Duncan:
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG. CoRR abs/2301.03470 (2023) - [i55]Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz:
Parameter-efficient Modularised Bias Mitigation via AdapterFusion. CoRR abs/2302.06321 (2023) - [i54]Ruochen Zhang, Carsten Eickhoff:
CroCoSum: A Benchmark Dataset for Cross-Lingual Code-Switched Summarization. CoRR abs/2303.04092 (2023) - [i53]Koyena Pal, Seyed Ali Bahrainian, Laura Mercurio, Carsten Eickhoff:
Neural Summarization of Electronic Health Records. CoRR abs/2305.15222 (2023) - [i52]George Zerveas, Navid Rekabsaz, Carsten Eickhoff:
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest Neighbors. CoRR abs/2305.15720 (2023) - [i51]Jack Merullo, Carsten Eickhoff, Ellie Pavlick:
Language Models Implement Simple Word2Vec-style Vector Arithmetic. CoRR abs/2305.16130 (2023) - [i50]William Rudman, Carsten Eickhoff:
Stable Anisotropic Regularization. CoRR abs/2305.19358 (2023) - [i49]Catherine Chen, Carsten Eickhoff:
SSE: A Metric for Evaluating Search System Explainability. CoRR abs/2306.10175 (2023) - [i48]Michal Golovanevsky, Eva Schiller, Akira Nair, Ritambhara Singh, Carsten Eickhoff:
One-Versus-Others Attention: Scalable Multimodal Integration. CoRR abs/2307.05435 (2023) - [i47]Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff:
Predictive Uncertainty-based Bias Mitigation in Ranking. CoRR abs/2309.09833 (2023) - [i46]Carsten Eickhoff:
Impact Factors for Computer Science Conferences. CoRR abs/2310.08037 (2023) - [i45]Jack Merullo, Carsten Eickhoff, Ellie Pavlick:
Circuit Component Reuse Across Tasks in Transformer Language Models. CoRR abs/2310.08744 (2023) - [i44]William Rudman, Catherine Chen, Carsten Eickhoff:
Outlier Dimensions Encode Task-Specific Knowledge. CoRR abs/2310.17715 (2023) - [i43]Seyed Ali Bahrainian, Martin Jaggi, Carsten Eickhoff:
Controllable Topic-Focused Abstractive Summarization. CoRR abs/2311.06724 (2023) - 2022
- [j13]Michal Golovanevsky, Carsten Eickhoff, Ritambhara Singh:
Multimodal attention-based deep learning for Alzheimer's disease diagnosis. J. Am. Medical Informatics Assoc. 29(12): 2014-2022 (2022) - [j12]Chris K. Kim, Ji Whae Choi, Zhicheng Jiao, Dongcui Wang, Jing Wu, Thomas Y. Yi, Kasey C. Halsey, Feyisope Eweje, Thi My Linh Tran, Chang Liu, Robin Wang, John Sollee, Celina Hsieh, Ken Chang, Fang-Xue Yang, Ritambhara Singh, Jie-Lin Ou, Raymond Y. Huang, Cai Feng, Michael D. Feldman, Tao Liu, Ji Sheng Gong, Shaolei Lu, Carsten Eickhoff, Xue Feng, Ihab Kamel, Ronnie Sebro, Michael Atalay, Terrance Healey, Yong Fan, Wei-hua Liao, Jianxin Wang, Harrison Bai:
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. npj Digit. Medicine 5 (2022) - [j11]Seyed Ali Bahrainian, George Zerveas, Fabio Crestani, Carsten Eickhoff:
CATS: Customizable Abstractive Topic-based Summarization. ACM Trans. Inf. Syst. 40(1): 5:1-5:24 (2022) - [c77]Seyed Ali Bahrainian, Sheridan Feucht, Carsten Eickhoff:
NEWTS: A Corpus for News Topic-Focused Summarization. ACL (Findings) 2022: 493-503 - [c76]William Rudman, Nate Gillman, Taylor Rayne, Carsten Eickhoff:
IsoScore: Measuring the Uniformity of Embedding Space Utilization. ACL (Findings) 2022: 3325-3339 - [c75]Augusto Garcia-Agundez, Carsten Eickhoff:
When BERT Fails - The Limits of EHR Classification. AMIA 2022 - [c74]William Jurayj, William Rudman, Carsten Eickhoff:
Garden Path Traversal in GPT-2. BlackboxNLP@EMNLP 2022: 305-313 - [c73]William Rudman, Jack Merullo, Laura Mercurio, Carsten Eickhoff:
ACQuA: Anomaly Classification with Quasi-Attractors. CinC 2022: 1-4 - [c72]George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff:
CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking. EMNLP 2022: 10626-10644 - [c71]Ilkay Yildiz Potter, George Zerveas, Carsten Eickhoff, Dominique Duncan:
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG. ICMLA 2022: 1304-1311 - [c70]George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff:
Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization. SIGIR 2022: 2532-2538 - [c69]Daniel Cohen, Kevin Du, Bhaskar Mitra, Laura Mercurio, Navid Rekabsaz, Carsten Eickhoff:
Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences. SIGIR 2022: 2572-2577 - [c68]Jack Merullo, Dylan Ebert, Carsten Eickhoff, Ellie Pavlick:
Pretraining on Interactions for Learning Grounded Affordance Representations. *SEM@NAACL-HLT 2022: 258-277 - [i42]Yuanfei Dai, Wenzhong Guo, Carsten Eickhoff:
Wasserstein Adversarial Learning based Temporal Knowledge Graph Embedding. CoRR abs/2205.01873 (2022) - [i41]William Jurayj, William Rudman, Carsten Eickhoff:
Garden-Path Traversal within GPT-2. CoRR abs/2205.12302 (2022) - [i40]Seyed Ali Bahrainian, Sheridan Feucht, Carsten Eickhoff:
NEWTS: A Corpus for News Topic-Focused Summarization. CoRR abs/2205.15661 (2022) - [i39]Michal Golovanevsky, Carsten Eickhoff, Ritambhara Singh:
Multimodal Attention-based Deep Learning for Alzheimer's Disease Diagnosis. CoRR abs/2206.08826 (2022) - [i38]Jack Merullo, Dylan Ebert, Carsten Eickhoff, Ellie Pavlick:
Pretraining on Interactions for Learning Grounded Affordance Representations. CoRR abs/2207.02272 (2022) - [i37]Augusto Garcia-Agundez, Carsten Eickhoff:
When BERT Fails - The Limits of EHR Classification. CoRR abs/2208.10245 (2022) - [i36]Jack Merullo, Louis Castricato, Carsten Eickhoff, Ellie Pavlick:
Linearly Mapping from Image to Text Space. CoRR abs/2209.15162 (2022) - [i35]Catherine Chen, Carsten Eickhoff:
Evaluating Search Explainability with Psychometrics and Crowdsourcing. CoRR abs/2210.09430 (2022) - 2021
- [j10]Yuanfei Dai, Chenhao Guo, Wenzhong Guo, Carsten Eickhoff:
Drug-drug interaction prediction with Wasserstein Adversarial Autoencoder-based knowledge graph embeddings. Briefings Bioinform. 22(4) (2021) - [c67]Sheridan Feucht, Babak Hemmatian, Rachel Avram, Alexander Wey, Kate Spitalnic, Muskaan Garg, Carsten Eickhoff, Ellie Pavlick, Björn Sandstede, Steven A. Sloman:
The Anatomy of Discourse: Linguistic Predictors of Narrative and Argument Quality. CogSci 2021 - [c66]Babak Hemmatian, Nathaniel Goodman, Jonathan Lee, Carsten Eickhoff, Steven A. Sloman:
Narratives of Consensus: a Decade of Reddit Discourse on Marijuana Legalization. CogSci 2021 - [c65]Alexander Wey, Babak Hemmatian, Rachel Avram, Sheridan Feucht, Kate Spitalnic, Muskaan Garg, Carsten Eickhoff, Ellie Pavlick, Björn Sandstede, Steven A. Sloman:
Can computers tell a story? Discourse Structure in Computer-generated Text and Humans. CogSci 2021 - [c64]Seyed Ali Bahrainian, Martin Jaggi, Carsten Eickhoff:
Self-Supervised Neural Topic Modeling. EMNLP (Findings) 2021: 3341-3350 - [c63]Oleg Lesota, Navid Rekabsaz, Daniel Cohen, Klaus Antonius Grasserbauer, Carsten Eickhoff, Markus Schedl:
A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models. ICTIR 2021: 185-195 - [c62]George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff:
A Transformer-based Framework for Multivariate Time Series Representation Learning. KDD 2021: 2114-2124 - [c61]Ruochen Zhang, Carsten Eickhoff:
SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain. NAACL-HLT 2021: 4325-4333 - [c60]Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff:
Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. SIGIR 2021: 654-664 - [c59]Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey, Carsten Eickhoff:
TripClick: The Log Files of a Large Health Web Search Engine. SIGIR 2021: 2507-2513 - [i34]Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey, Carsten Eickhoff:
TripClick: The Log Files of a Large Health Web Search Engine. CoRR abs/2103.07901 (2021) - [i33]Abdullah Ahmed, Adeel Abbasi, Carsten Eickhoff:
Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification. CoRR abs/2103.13546 (2021) - [i32]Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff:
Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. CoRR abs/2105.04651 (2021) - [i31]Ruochen Zhang, Carsten Eickhoff:
SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain. CoRR abs/2106.01972 (2021) - [i30]Oleg Lesota, Navid Rekabsaz, Daniel Cohen, Klaus Antonius Grasserbauer, Carsten Eickhoff, Markus Schedl:
A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models. CoRR abs/2106.13618 (2021) - [i29]Zhizhong Chen, Carsten Eickhoff:
The Cross-Lingual Arabic Information REtrieval (CLAIRE) System. CoRR abs/2107.13751 (2021) - [i28]Zhizhong Chen, Carsten Eickhoff:
ExpertRank: A Multi-level Coarse-grained Expert-based Listwise Ranking Loss. CoRR abs/2107.13752 (2021) - [i27]Zhizhong Chen, Carsten Eickhoff:
PoolRank: Max/Min Pooling-based Ranking Loss for Listwise Learning & Ranking Balance. CoRR abs/2108.03586 (2021) - [i26]William Rudman, Nate Gillman, Taylor Rayne, Carsten Eickhoff:
IsoScore: Measuring the Uniformity of Vector Space Utilization. CoRR abs/2108.07344 (2021) - [i25]Babak Hemmatian, Sheridan Feucht, Rachel Avram, Alexander Wey, Muskaan Garg, Kate Spitalnic, Carsten Eickhoff, Ellie Pavlick, Björn Sandstede, Steven A. Sloman:
A Novel Corpus of Discourse Structure in Humans and Computers. CoRR abs/2111.05940 (2021) - [i24]Toni Sagayaraj, Carsten Eickhoff:
Image-Like Graph Representations for Improved Molecular Property Prediction. CoRR abs/2111.10695 (2021) - [i23]George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff:
CODER: An efficient framework for improving retrieval through COntextualized Document Embedding Reranking. CoRR abs/2112.08766 (2021) - 2020
- [j9]Nina Rank, Boris Pfahringer, Jörg Kempfert, Christof Stamm, Titus Kühne, Felix Schoenrath, Volkmar Falk, Carsten Eickhoff, Alexander Meyer:
Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance. npj Digit. Medicine 3 (2020) - [j8]Avi Arampatzis, Linda Cappellato, Carsten Eickhoff, Nicola Ferro, Hideo Joho, Evangelos Kanoulas, Christina Lioma, Aurélie Névéol, Theodora Tsikrika, Stefanos Vrochidis:
Report on CLEF 2020. SIGIR Forum 54(2): 11:1-11:10 (2020) - [c58]Aaron S. Eisman, Nishant R. Shah, Carsten Eickhoff, George Zerveas, Elizabeth S. Chen, Wen-Chih Wu, Indra Neil Sarkar:
Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures. AMIA 2020 - [c57]Albert Webson, Zhizhong Chen, Carsten Eickhoff, Ellie Pavlick:
Do "Undocumented Workers" == "Illegal Aliens"? Differentiating Denotation and Connotation in Vector Spaces. EMNLP (1) 2020: 4090-4105 - [c56]Jerome Ramos, Carsten Eickhoff:
Search Result Explanations Improve Efficiency and Trust. SIGIR 2020: 1597-1600 - [c55]Carsten Eickhoff, Yubin Kim, Ryen W. White:
Overview of the Health Search and Data Mining (HSDM 2020) Workshop. WSDM 2020: 901-902 - [e6]Linda Cappellato, Carsten Eickhoff, Nicola Ferro, Aurélie Névéol:
Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum, Thessaloniki, Greece, September 22-25, 2020. CEUR Workshop Proceedings 2696, CEUR-WS.org 2020 [contents] - [e5]Avi Arampatzis, Evangelos Kanoulas, Theodora Tsikrika, Stefanos Vrochidis, Hideo Joho, Christina Lioma, Carsten Eickhoff, Aurélie Névéol, Linda Cappellato, Nicola Ferro:
Experimental IR Meets Multilinguality, Multimodality, and Interaction - 11th International Conference of the CLEF Association, CLEF 2020, Thessaloniki, Greece, September 22-25, 2020, Proceedings. Lecture Notes in Computer Science 12260, Springer 2020, ISBN 978-3-030-58218-0 [contents] - [e4]Carsten Eickhoff, Yubin Kim, Ryen W. White:
Proceedings of the ACM WSDM 2020 Health Search and Data Mining Workshop, co-located with the 13th ACM International WSDM Conference, HSDM@WSDM 2020, Houston, TX, USA, February 3, 2020. CEUR Workshop Proceedings 2551, CEUR-WS.org 2020 [contents] - [i22]Yuanfei Dai, Chenhao Guo, Wenzhong Guo, Carsten Eickhoff:
Wasserstein Adversarial Autoencoders for Knowledge Graph Embedding based Drug-Drug Interaction Prediction. CoRR abs/2004.07341 (2020) - [i21]Cindy Li, Elizabeth Chen, Guergana Savova, Hamish Fraser, Carsten Eickhoff:
Mining Misdiagnosis Patterns from Biomedical Literature. CoRR abs/2006.13721 (2020) - [i20]Gil Alon, Elizabeth Chen, Guergana Savova, Carsten Eickhoff:
Diagnosis Prevalence vs. Efficacy in Machine-learning Based Diagnostic Decision Support. CoRR abs/2006.13737 (2020) - [i19]George Zerveas, Ruochen Zhang, Leila Kim, Carsten Eickhoff:
Brown University at TREC Deep Learning 2019. CoRR abs/2009.04016 (2020) - [i18]George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff:
A Transformer-based Framework for Multivariate Time Series Representation Learning. CoRR abs/2010.02803 (2020) - [i17]Albert Webson, Zhizhong Chen, Carsten Eickhoff, Ellie Pavlick:
Are "Undocumented Workers" the Same as "Illegal Aliens"? Disentangling Denotation and Connotation in Vector Spaces. CoRR abs/2010.02976 (2020) - [i16]Aaron S. Eisman, Nishant R. Shah, Carsten Eickhoff, George Zerveas, Elizabeth S. Chen, Wen-Chih Wu, Indra Neil Sarkar:
Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures. CoRR abs/2010.05757 (2020)
2010 – 2019
- 2019
- [j7]Harun Mustafa, Ingo Schilken, Mikhail Karasikov, Carsten Eickhoff, Gunnar Rätsch, André Kahles:
Dynamic compression schemes for graph coloring. Bioinform. 35(3): 407-414 (2019) - [j6]Yarden Raiskin, Carsten Eickhoff, Patrick E. Beeler:
Categorization of free-text drug orders using character-level recurrent neural networks. Int. J. Medical Informatics 129: 20-28 (2019) - [c54]Sebastian Hofstätter, Navid Rekabsaz, Mihai Lupu, Carsten Eickhoff, Allan Hanbury:
Enriching Word Embeddings for Patent Retrieval with Global Context. ECIR (1) 2019: 810-818 - [c53]Carsten Eickhoff, Floran Gmehlin, Anu V. Patel, Jocelyn Boullier, Hamish Fraser:
DC3 - A Diagnostic Case Challenge Collection for Clinical Decision Support. ICTIR 2019: 141-144 - [c52]Leandro von Werra, Marcel Schöngens, Ece D. Gamsiz Uzun, Carsten Eickhoff:
Generative Adversarial Networks in Precision Oncology. ICTIR 2019: 145-148 - [c51]Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff, Allan Hanbury:
On the Effect of Low-Frequency Terms on Neural-IR Models. SIGIR 2019: 1137-1140 - [c50]Abdullah Ahmed, Gil Alon, Bashar Zaidat, Isaac Nathoo, Hwai-Liang Tung, Charles Wang, Carsten Eickhoff:
Brown University at TREC Precision Medicine 2019. TREC 2019 - [c49]George Zerveas, Ruochen Zhang, Leila Kim, Carsten Eickhoff:
Brown University at TREC Deep Learning 2019. TREC 2019 - [i15]Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff, Allan Hanbury:
On the Effect of Low-Frequency Terms on Neural-IR Models. CoRR abs/1904.12683 (2019) - [i14]Carsten Eickhoff, Floran Gmehlin, Anu V. Patel, Jocelyn Boullier, Hamish Fraser:
DC3 - A Diagnostic Case Challenge Collection for Clinical Decision Support. CoRR abs/1908.08581 (2019) - 2018
- [j5]Jing Yang, Carsten Eickhoff:
Unsupervised Learning of Parsimonious General-Purpose Embeddings for User and Location Modeling. ACM Trans. Inf. Syst. 36(3): 32:1-32:33 (2018) - [c48]Xing Wei, Carsten Eickhoff:
Distant Supervision in Clinical Information Retrieval. AMIA 2018 - [c47]Alba Garcia Seco de Herrera, Carsten Eickhoff, Vincent Andrearczyk, Henning Müller:
Overview of the ImageCLEF 2018 Caption Prediction Tasks. CLEF (Working Notes) 2018 - [c46]Bogdan Ionescu, Henning Müller, Mauricio Villegas, Alba Garcia Seco de Herrera, Carsten Eickhoff, Vincent Andrearczyk, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Sadid A. Hasan, Yuan Ling, Oladimeji Farri, Joey Liu, Matthew P. Lungren, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Liting Zhou, Mathias Lux, Cathal Gurrin:
Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation. CLEF 2018: 309-334 - [c45]Thijs Vogels, Octavian-Eugen Ganea, Carsten Eickhoff:
Web2Text: Deep Structured Boilerplate Removal. ECIR 2018: 167-179 - [c44]Ferenc Galkó, Carsten Eickhoff:
Biomedical Question Answering via Weighted Neural Network Passage Retrieval. ECIR 2018: 523-528 - [c43]Prakrit Baruah, Riya Dulepet, Kyle Qian, Carsten Eickhoff:
Brown University at TREC Precision Medicine 2018. TREC 2018 - [c42]Carsten Eickhoff:
Cognitive Biases in Crowdsourcing. WSDM 2018: 162-170 - [i13]Thijs Vogels, Octavian-Eugen Ganea, Carsten Eickhoff:
Web2Text: Deep Structured Boilerplate Removal. CoRR abs/1801.02607 (2018) - [i12]Ferenc Galkó, Carsten Eickhoff:
Biomedical Question Answering via Weighted Neural Network Passage Retrieval. CoRR abs/1801.02832 (2018) - [i11]Xing Wei, Carsten Eickhoff:
Embedding Electronic Health Records for Clinical Information Retrieval. CoRR abs/1811.05402 (2018) - 2017
- [j4]Carsten Eickhoff, Jacek Gwizdka, Claudia Hauff, Jiyin He:
Introduction to the special issue on search as learning. Inf. Retr. J. 20(5): 399-402 (2017) - [c41]Carsten Eickhoff, Immanuel Schwall, Alba Garcia Seco de Herrera, Henning Müller:
Overview of ImageCLEFcaption 2017 - Image Caption Prediction and Concept Detection for Biomedical Images. CLEF (Working Notes) 2017 - [c40]Noah Hollmann, Carsten Eickhoff:
Ranking and Feedback-based Stopping for Recall-Centric Document Retrieval. CLEF (Working Notes) 2017 - [c39]Bogdan Ionescu, Henning Müller, Mauricio Villegas, Helbert Arenas, Giulia Boato, Duc-Tien Dang-Nguyen, Yashin Dicente Cid, Carsten Eickhoff, Alba Garcia Seco de Herrera, Cathal Gurrin, Md Bayzidul Islam, Vassili Kovalev, Vitali Liauchuk, Josiane Mothe, Luca Piras, Michael Riegler, Immanuel Schwall:
Overview of ImageCLEF 2017: Information Extraction from Images. CLEF 2017: 315-337 - [c38]Rolf Jagerman, Carsten Eickhoff, Maarten de Rijke:
Computing Web-scale Topic Models using an Asynchronous Parameter Server. SIGIR 2017: 1337-1340 - [c37]Negar Foroutan Eghlidi, Jannick Griner, Nicolas Mesot, Leandro von Werra, Carsten Eickhoff:
ETH Zurich at TREC Precision Medicine 2017. TREC 2017 - [i10]Jing Yang, Carsten Eickhoff:
Unsupervised Spatio-Temporal Embeddings for User and Location Modelling. CoRR abs/1704.03507 (2017) - [i9]Zsolt Mezei, Carsten Eickhoff:
Evaluating Music Recommender Systems for Groups. CoRR abs/1707.09790 (2017) - 2016
- [j3]Carsten Eickhoff, Arjen P. de Vries:
"Robust statistical methods in web retrieval" by Carsten Eickhoff and Arjen P. de Vries, with Martin Vesely as coordinator. SIGWEB Newsl. 2016(Winter): 4:1-4:11 (2016) - [c36]Piyush Bansal, Carsten Eickhoff, Thomas Hofmann:
Active Content-Based Crowdsourcing Task Selection. CIKM 2016: 529-538 - [c35]Wen Li, Carsten Eickhoff, Arjen P. de Vries:
Probabilistic Local Expert Retrieval. ECIR 2016: 227-239 - [c34]Maria Han Veiga, Carsten Eickhoff:
A Cross-Platform Collection of Social Network Profiles. SIGIR 2016: 665-668 - [c33]Nino Weingart, Carsten Eickhoff:
Retrieval Techniques for Contextual Learning. SAL@SIGIR 2016 - [c32]Simon Greuter, Philip Junker, Lorenz Kuhn, Felix Mance, Virgile Mermet, Angela Rellstab, Carsten Eickhoff:
ETH Zurich at TREC Clinical Decision Support 2016. TREC 2016 - [c31]Octavian-Eugen Ganea, Marina Ganea, Aurélien Lucchi, Carsten Eickhoff, Thomas Hofmann:
Probabilistic Bag-Of-Hyperlinks Model for Entity Linking. WWW 2016: 927-938 - [i8]Siddharth Sarda, Carsten Eickhoff, Thomas Hofmann:
Semantic Place Descriptors for Classification and Map Discovery. CoRR abs/1601.05952 (2016) - [i7]Rolf Jagerman, Carsten Eickhoff:
Web-scale Topic Models in Spark: An Asynchronous Parameter Server. CoRR abs/1605.07422 (2016) - [i6]Jeroen B. P. Vuurens, Carsten Eickhoff, Arjen P. de Vries:
Efficient Parallel Learning of Word2Vec. CoRR abs/1606.07822 (2016) - [i5]Maria Han Veiga, Carsten Eickhoff:
Privacy Leakage through Innocent Content Sharing in Online Social Networks. CoRR abs/1607.02714 (2016) - [i4]Maria Han Veiga, Carsten Eickhoff:
A Cross-Platform Collection of Social Network Profiles. CoRR abs/1607.03274 (2016) - [i3]Lorenz Kuhn, Carsten Eickhoff:
Implicit Negative Feedback in Clinical Information Retrieval. CoRR abs/1607.03296 (2016) - [i2]Paulina Grnarova, Florian Schmidt, Stephanie L. Hyland, Carsten Eickhoff:
Neural Document Embeddings for Intensive Care Patient Mortality Prediction. CoRR abs/1612.00467 (2016) - 2015
- [c30]Martin Davtyan, Carsten Eickhoff, Thomas Hofmann:
Exploiting Document Content for Efficient Aggregation of Crowdsourcing Votes. CIKM 2015: 783-790 - [c29]Carsten Eickhoff:
Human Intelligence in Search and Retrieval. GamifIR@ECIR 2015: 3 - [c28]Carsten Eickhoff, Sebastian Dungs, Vu Tran:
An Eye-Tracking Study of Query Reformulation. SIGIR 2015: 13-22 - [c27]Carsten Eickhoff, Arjen P. de Vries, Thomas Hofmann:
Modelling Term Dependence with Copulas. SIGIR 2015: 783-786 - [i1]Octavian-Eugen Ganea, Marina Horlescu, Aurélien Lucchi, Carsten Eickhoff, Thomas Hofmann:
Probabilistic Bag-Of-Hyperlinks Model for Entity Linking. CoRR abs/1509.02301 (2015) - 2014
- [c26]Carsten Eickhoff, Arjen P. de Vries:
Modelling Complex Relevance Spaces with Copulas. CIKM 2014: 1831-1834 - [c25]Carsten Eickhoff:
Crowd-powered experts: helping surgeons interpret breast cancer images. GamifIR@ECIR 2014: 53-56 - [c24]Wen Li, Carsten Eickhoff, Arjen P. de Vries:
Geo-spatial Domain Expertise in Microblogs. ECIR 2014: 487-492 - [c23]Wen Li, Carsten Eickhoff, Arjen P. de Vries:
Interactive summarization of social media. IIiX 2014: 312-315 - [c22]Carsten Eickhoff, Jaime Teevan, Ryen White, Susan T. Dumais:
Lessons from the journey: a query log analysis of within-session learning. WSDM 2014: 223-232 - 2013
- [j2]Carsten Eickhoff, Arjen P. de Vries:
Increasing cheat robustness of crowdsourcing tasks. Inf. Retr. 16(2): 121-137 (2013) - [c21]Carsten Eickhoff, Wen Li, Arjen P. de Vries:
Exploiting User Comments for Audio-Visual Content Indexing and Retrieval. ECIR 2013: 38-49 - [c20]Carsten Eickhoff, Kevyn Collins-Thompson, Paul N. Bennett, Susan T. Dumais:
Designing Human-Readable User Profiles for Search Evaluation. ECIR 2013: 701-705 - [c19]Carsten Eickhoff, Arjen P. de Vries, Kevyn Collins-Thompson:
Copulas for information retrieval. SIGIR 2013: 663-672 - [c18]Carsten Eickhoff, Kevyn Collins-Thompson, Paul N. Bennett, Susan T. Dumais:
Personalizing atypical web search sessions. WSDM 2013: 285-294 - [e3]Carsten Eickhoff, Arjen P. de Vries:
Proceedings of the 13th Dutch-Belgian Workshop on Information Retrieval, Delft, The Netherlands, April 26th, 2013. CEUR Workshop Proceedings 986, CEUR-WS.org 2013 [contents] - 2012
- [j1]Gabriella Kazai, Carsten Eickhoff, Peter Brusilovsky:
Report on BooksOnline'11: 4th workshop on online books, complementary social media, and crowdsourcing. SIGIR Forum 46(1): 43-50 (2012) - [c17]Karl Gyllstrom, Carsten Eickhoff, Arjen P. de Vries, Marie-Francine Moens:
The downside of markup: examining the harmful effects of CSS and javascript on indexing today's web. CIKM 2012: 1990-1994 - [c16]Gabriella Kazai, Monica Landoni, Carsten Eickhoff, Peter Brusilovsky:
Booksonline'12: 5th workshop on online books, complementary social media and their impact. CIKM 2012: 2764-2765 - [c15]Leif Azzopardi, Douglas Dowie, Sergio Duarte Torres, Carsten Eickhoff, Richard Glassey, Karl Gyllstrom, Djoerd Hiemstra, Franciska de Jong, Frea Kruisinga, Kelly Ann Marshall, Sien Moens, Tamara Polajnar, Frans van der Sluis, Arjen P. de Vries:
EmSe: Supporting Children's Information Needs within a Hospital Environment. ECIR 2012: 578-580 - [c14]Carsten Eickhoff, Pieter Dekker, Arjen P. de Vries:
Supporting children's web search in school environments. IIiX 2012: 129-137 - [c13]Carsten Eickhoff, Leif Azzopardi, Djoerd Hiemstra, Franciska de Jong, Arjen P. de Vries, Douglas Dowie, Sergio Duarte Torres, Richard Glassey, Karl Gyllstrom, Frea Kruisinga, Kelly Ann Marshall, Sien Moens, Tamara Polajnar, Frans van der Sluis:
EmSe: initial evaluation of a child-friendly medical search system. IIiX 2012: 282-285 - [c12]Anton Leuski, Carsten Eickhoff, James Ganis, Victor Lavrenko:
The BladeMistress Corpus: From Talk to Action in Virtual Worlds. LREC 2012: 4060-4067 - [c11]Carsten Eickhoff, Christopher G. Harris, Arjen P. de Vries, Padmini Srinivasan:
Quality through flow and immersion: gamifying crowdsourced relevance assessments. SIGIR 2012: 871-880 - [c10]Carsten Eickhoff:
Relevance as a subjective and situational multidimensional concept. SIGIR 2012: 998 - [c9]Wen Li, Carsten Eickhoff, Arjen P. de Vries:
Want a coffee?: predicting users' trails. SIGIR 2012: 1171-1172 - [e2]Gabriella Kazai, Monica Landoni, Carsten Eickhoff, Peter Brusilovsky:
Proceedings of the Fifth ACM Workshop on Research Advances in Large Digital Book Repositories and Complementary Media, BooksOnline@CIKM '12, Maui, Hawaii, USA, October 29, 2012. ACM 2012, ISBN 978-1-4503-1714-6 [contents] - 2011
- [c8]Wen Li, Pavel Serdyukov, Arjen P. de Vries, Carsten Eickhoff, Martha A. Larson:
The where in the tweet. CIKM 2011: 2473-2476 - [c7]Gabriella Kazai, Carsten Eickhoff, Peter Brusilovsky:
BooksOnline'11: 4th workshop on online books, complementary social media, and crowdsourcing. CIKM 2011: 2619-2620 - [c6]Carsten Eickhoff, Tamara Polajnar, Karl Gyllstrom, Sergio Duarte Torres, Richard Glassey:
Web Search Query Assistance Functionality for Young Audiences. ECIR 2011: 776-779 - [c5]Carsten Eickhoff, Christopher G. Harris, Padmini Srinivasan, Arjen P. de Vries:
GeAnn at the TREC 2011 Crowdsourcing Track. TREC 2011 - [c4]Wen Li, Carsten Eickhoff, Arjen P. de Vries:
DMIR on Microblog Track 2011. TREC 2011 - [c3]Jeroen B. P. Vuurens, Carsten Eickhoff, Arjen P. de Vries:
Managing the Quality of Large-Scale Crowdsourcing. TREC 2011 - [c2]Carsten Eickhoff, Pavel Serdyukov, Arjen P. de Vries:
A combined topical/non-topical approach to identifying web sites for children. WSDM 2011: 505-514 - [e1]Gabriella Kazai, Carsten Eickhoff, Peter Brusilovsky:
Proceedings of the 4th ACM Workshop on Online books, complementary social media and crowdsourcing, BooksOnline 2011, Glasgow, United Kingdom, October 24, 2011. ACM 2011, ISBN 978-1-4503-0961-5 [contents] - 2010
- [c1]Carsten Eickhoff, Pavel Serdyukov, Arjen P. de Vries:
Web page classification on child suitability. CIKM 2010: 1425-1428
Coauthor Index
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