- Jack Merullo, Carsten Eickhoff, and Ellie Pavlick
Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models
NeurIPS 2024
- Jessica Zosa Forde, Ruochen Zhang, Lintang Sutawika, Alham Fikri Aji, Samuel Cahyawijaya, Genta Indra Winata, Minghao Wu, Carsten Eickhoff, Stella Biderman, and Ellie Pavlick
Re-Evaluating Evaluation for Multilingual Summarization
EMNLP 2024
- Nils Hinrichs, Alexander Meyer, Kerstin Koehler, Thomas Kaas, Meike Hiddemann, Sebastian Spethmann, Felix Balzer, Carsten Eickhoff, Volkmar Falk, Gerhard Hindricks, Nikolaos Dagres, and Friedrich Koehler
Artificial Intelligence Based Real-time Prediction of Imminent Heart Failure Hospitalisation in Patients Undergoing Non-invasive Telemedicine
Frontiers in Cardiovascular Medicine 2024
- Melanie Bozzay, Christopher Hughes, Carsten Eickhoff, Heather Schatten, and Michael Armey
Identifying Momentary Suicidal Ideation using Machine Learning in Patients at High-Risk for Suicide
Journal of Affective Disorders 2024
- Augusto Garcia-Agundez, and Carsten Eickhoff
Artificial Intelligence in Medicine: Where we Stand Today and What Lies Ahead
Zeitschrift für Herz-,Thorax- und Gefäßchirurgie 2024
- Nils Hinrichs, Tobias Roeschl, Pia Lanmueller, Felix Balzer, Carsten Eickhoff, Benjamin O'Brien, Volkmar Falk, and Alexander Meyer
Short-term Vital Parameter Forecasting in the Intensive Care Unit - A Benchmark Study Leveraging Data from Patients after Cardiothoracic Surgery
PLOS Digital Health 2024
- Tassallah Abdullahi, Laura Mercurio, Ritambhara Singh, and Carsten Eickhoff
Retrieval-Based Diagnostic Decision Support: Mixed Methods Study
JMIR Medical Informatics 2024
- Andrew Kalra, Preetham Bachina, Benjamin Shou, Jaeho Hwang, Meylakh Barshay, Shreyas Kulkarni, Isaac Sears, Carsten Eickhoff, Christian Bermudez, Daniel Brodie, Corey Ventetuolo, Glenn J. R. Whitman, Adeel Abbasi, and Sung-Min Cho
Utilizing Machine Learning to Predict Neurological Injury in Venovenous Extracorporeal Membrane Oxygenation Patients: An ELSO Registry Analysis
JTCVS Open 2024
- Michal Golovanevsky, Eva Schiller, Akira A Nair, Ritambhara Singh, and Carsten Eickhoff
One-Versus-Others Attention: Scalable Multimodal Integration for Biomedical Data
ICML AccMLBio Workshop 2024
- Tassallah Abdullahi, Ritambhara Singh, and Carsten Eickhoff
Retrieval Augmented Zero-Shot Text Classification
ICTIR 2024
- Friederike Holderried, Christian Stegemann–Philipps, Anne Herrmann–Werner, Teresa Festl–Wietek, Martin Holderried, Carsten Eickhoff, and Moritz Mahling
A Language Model-powered Simulated Patient with Automated Feedback for History Taking: Prospective Study
JMIR Medical Education 2024
- Laura Mercurio, Augusto Garcia-Agundez, Stephanie Ruest, Susan Duffy, and Carsten Eickhoff
One Third of Alcohol Use Disorder Diagnoses are Missed by ICD Coding
Substance Use & Addiction Journal 2024
- Andrew Kalra, Preetham Bachina, Benjamin Shou, Jaeho Hwang, Meylakh Barshay, Shreyas Kulkarni, Isaac Sears, Carsten Eickhoff, Christian Bermudez, Daniel Brodie, Corey Ventetuolo, Bo Soo Kim, Glenn J. R. Whitman, Adeel Abbasi, and Sung-Min Cho
Acute Brain Injury Risk Prediction Models in Venoarterial Extracorporeal Membrane
Oxygenation Patients with Tree-Based Machine Learning: An ELSO Registry Analysis
JTCVS Open 2024
- Seyed Ali Bahreinian, Jonathan Dou, and Carsten Eickhoff
Text Simplification via Adaptive Teaching
ACL 2024
- Catherine Chen, Jack Merullo, and Carsten Eickhoff
Axiomatic Causal Interventions for Reverse Engineering Relevance Computation in Neural Retrieval
Models
SIGIR 2024
- Catherine Chen, and Carsten Eickhoff
Evaluating Search System Explainability with Psychometrics and Crowdsourcing
SIGIR 2024
- Jack Merullo, Carsten Eickhoff, and Ellie Pavlick
Language Models Implement Simple Vector Arithmetic
NAACL 2024
- Sebastian Schieferdecker, Florian Rottach and Esther Vock
In Silico Prediction of Oral Acute Rodent Toxicity Using Consensus Machine Learning
JCIM 2024
- Krishna Nand Keshava Murthy, Carsten Eickhoff and Etay Ziv
Pre-operative Lung Ablation Prediction using Deep Learning
European Radiology 2024
- Ruochen Zhang, and Carsten Eickhoff
CroCoSum: A Benchmark Dataset for Cross-Lingual Code-Switched Summarization
LREC 2024
- William Rudman, and Carsten Eickhoff
Stable Anisotropic Regularization
ICLR 2024
- Jack Merullo, Carsten Eickhoff, and Ellie Pavlick
Circuit Component Reuse Across Tasks in Transformer Language Models
ICLR 2024
- Amina Abdullahi, Ritambhara Singh, and Carsten Eickhoff
Learning to Make Rare and Complex Diagnoses with Generative AI Assistance
JMIR Medical Education 2024
- Yuanfei Dai, Wenzhong Guo, and Carsten Eickhoff
Wasserstein Adversarial Learning based Temporal Knowledge Graph Embedding
Information Sciences 2023
- Adeel Abbasi, Cindy Li, Max Dekle, Christian A Bermudez, Daniel Brodie, Frank W Selke, Neel A Sodha, Corey E Ventetuolo, and Carsten Eickhoff
Interpretable Machine Learning-Based Predictive Modeling of Patient Outcomes
Following Cardiac Surgery
Journal of Thoracic and Cardiac Surgery 2023
- Corey E. Ventetuolo, Navneet Singh, Carsten Eickhoff, Augusto Garcia-Agundez, Paul Bertone, Sunita S. Paudel, Dhananjay T. Tambe, Leslie A. Litzky, Katherine Cox-Flaherty, James R. Klinger, Sean F. Monaghan, Christopher J. Mullin, Mandy Pereira, Thomas Walsh, Mary Whittenhall, Troy Stevens, and Elizabeth O. Harrington
Transcriptional Profiles of Pulmonary Artery Endothelial Cells in Pulmonary Hypertension
Nature Scientific Reports 2023
- Isaac Sears, Augusto Garcia-Agundez, George Zerveas, William Rudman, Laura Mercurio, Corey E. Ventetuolo, Adeel Abbasi, and Carsten Eickhoff
Leveraging Unlabeled Electroencephalographic Data to Predict Neurological Recovery for Comatose Patients Following Cardiac Arrest
CinC 2023
- George Zerveas, Navid Rekabsaz and Carsten Eickhoff
Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors
EMNLP 2023
- William Rudman, Catherine Chen and Carsten Eickhoff
Outlier Dimensions Encode Task Specific Knowledge
EMNLP 2023
- Ruochen Zhang, Samuel Cahyawijaya, Jan Christian Blaise Cruz, Genta Indra Winata, Alham Fikri Aji
Multilingual Large Language Models Are Not (Yet) Code-Switchers
EMNLP 2023
- Qinan Yu, Jack Merullo, Ellie Pavlick
Characterizing Mechanisms for Factual Recall in Language Models
EMNLP 2023
- Alham Fikri Aji, Jessica Zosa Forde, Alyssa Marie Loo, Lintang Sutawika, Skyler Wang, Genta Indra Winataη, Zheng-Xin Yong, Ruochen Zhang, A. Seza Doğruözκ, Yin Lin Tan, Jan Christian Blaise Cruz
Current Status of NLP in South East Asia
AACL 2023
- Augusto Garcia-Agundez, Elena Garcia-Martin, and Carsten Eickhoff
The Potential of Machine Learning in Pharmacogenetics, Pharmacogenomics and Pharmacoepidemiology – Volume II
Frontiers in Pharmacology 2023
- Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke and Carsten Eickhoff
Predictive Uncertainty-based Bias Mitigation in Ranking
CIKM 2023
- Steffen Eickhoff, Augusto Garcia-Agundez, Daniela Haidar, Bashar Zaidat, Michael Adjei-Mosi, Peter Li, and Carsten Eickhoff
A Feasibility Study on AI-Controlled Closed-Loop Electrical Stimulation Implants
Nature Scientific Reports 2023
- Sofia Blinova, Xinyu Zhou, Martin Jaggi, Carsten Eickhoff and Seyed Ali Bahrainian
SIMSUM: Document-level Text Simplification via Simultaneous Summarization
ACL 2023
- Abdullah Ahmed, Augusto Garcia-Agundez, Ivana Petrovic, Fatemeh Radaei, James Fife, John Zhou, Hunter Karas, Scott Moody, Jonathan Drake, Richard Jones, Carsten Eickhoff and Michael Reznik
Delirium Detection Using Wearable Sensors and Machine Learning in Patients with Intracerebral Hemorrhage
Frontiers in Neurology
- Katherine Zhong, Elizabeth Chen, Carsten Eickhoff, and Paul Greenberg
Using Machine Learning to Predict Hospitalization and Mortality of COVID-19 Patients with Diabetic Retinopathy
ARVO Annual Meeting
- Claudia Meyer, Daniel Adkins, Koyena Pal, Ruggero Galici, Augusto Garcia-Agundez and Carsten Eickhoff
Neural Text Generation in Regulatory Medical Writing
Frontiers in Pharmacology
- Jack Merullo, Louis Castricato, Carsten Eickhoff, and Ellie Pavlick
Linearly Mapping from Image to Text Space
ICLR 2023
- Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, and Navid Rekabsaz
Parameter-efficient On-demand Bias Mitigation via AdapterFusion
EACL 2023
- Laura Mercurio, Sovijja Pou, Susan Duffy, and Carsten Eickhoff
Risk Factors for Pediatric Sepsis in the Emergency Department: A Machine Learning Pilot Study
Pediatric Emergency Care
- George Zerveas, Navid Rekabsaz, Daniel Cohen, and Carsten Eickhoff
CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking
EMNLP 2022
- William Jurayj, William Rudman, and Carsten Eickhoff
Garden Path Traversal in GPT-2
EMNLP BlackBox NLP 2022
- William Rudman, Jack Merullo, Laura Mercurio, and Carsten Eickhoff
ACQuA: Arrhythmia Classification with Quasi-Attractors
Computing in Cardiology 2022
- İlkay Yıldız Potter, George Zerveas, Carsten Eickhoff, and Dominique Duncan
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG
ICMLA 2022
- Michal Golovanevsky, Carsten Eickhoff, and Ritambhara Singh
Multimodal Attention-based Deep Learning for Alzheimer's Disease Diagnosis
JAMIA 2022
- Augusto Garcia-Agundez, and Carsten Eickhoff
When BERT Fails - The Limits of EHR Classification
AMIA 2022
- Jack Merullo, Dylan Ebert, Carsten Eickhoff, and Ellie Pavlick
Pretraining on Interactions for Learning Grounded Affordance Representations
*SEM 2022
- Augusto Garcia-Agundez, Elena García-Martín, and Carsten Eickhoff
The Potential of Machine-learning in Pharmacogenetics, Pharmacogenomics and Pharmacoepidemiology
Frontiers in Pharmacology
- George Zerveas, Navid Rekabsaz, Daniel Cohen, and Carsten Eickhoff
Mitigating Bias in Search Results through Set-based Document Reranking and Neutrality Regularization
SIGIR 2022
- Daniel Cohen, Kevin Du, Bhaskar Mitra, Laura Mercurio, Navid Rekabsaz, and Carsten Eickhoff
Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences
SIGIR 2022
- Shaden Smith, Mostofa Patwary, Brandon Norick, Patrick LeGresley, Samyam Rajbhandari, Jared Casper, Zhun Liu, Shrimai Prabhumoye, George Zerveas, Vijay Korthikanti, Elton Zhang, Rewon Child, Reza Yazdani Aminabadi, Julie Bernauer, Xia Song, Mohammad Shoeybi, Yuxiong He, Michael Houston, Saurabh Tiwary, and Bryan Catanzaro
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model
Arxiv Preprint
- William Rudman, Nate Gillman, Taylor Rayne and Carsten Eickhoff
IsoScore: Measuring the Uniformity of Embedding Space Utilization
ACL 2022
- Seyed Ali Bahrainian, Sheridan Feucht, and Carsten Eickhoff
NEWTS: A Corpus for News Topic-Focused Summarization
ACL 2022
- Jianhong Cheng, John Sollee, Celina Hsieh, Hailin Yue, Nicholas Vandal, Justin Shanahan, Ji-Whae Choi, Thi My Linh Tran, Kasey Halsey, Franklin Iheanacho, James Warren, Abdullah Ahmed, Carsten Eickhoff, Michael Feldman, Eduardo Barbosa, Ihab Kamel, Cheng Ting Lin, Thomas Yi, Terrance Healey, Paul Zhang, Jing Wu, Michael Atalay, Harrison X. Bai, Zhicheng Jiao, and Jianxin Wang
COVID-19 Mortality Prediction in the Intensive Care Unit with Deep Learning Based on Longitudinal Chest X-Rays and Clinical Data
European Radiology
- Stephen Schmit, Rebecca Ortiz, Philip Caffery, Christopher T. Tucci, Carsten Eickhoff, Elias Hyams, and Gyan Pareek
Artificial Intelligence in Robotic-Assisted Laparoscopic Prostatectomy: Developing Predictive Models for Positive Surgical Margins
American Urological Association Conference 2022
- Nicole M. Thomasian, Carsten Eickhoff and Eli Y. Adashi
Advancing Health Equity with Artificial Intelligence
Journal of Public Health Policy 2021
- Chris K Kim, Ji Whae Choi, Zhicheng Jiao, Dongcui Wang, Jing Wu, Thomas Y Yi,Kasey C Halsey, Feyisope Eweje, Thi My Linh Tran, Liu Chang, Robin Wang, John Sollee, Celina Hsieh, Ken Chang, Fang-Xue Yang, Ritambhara Singh, Jie-Lin Oue, Raymond Y Huang, Cai Feng, Michael D Feldman,Tao Liu, Ji Sheng Gong, Shaolei Lu, Carsten Eickhoff, Xue Feng, Ihab Kamel, Ronnie Sebro, Michael K Atalay, Terrance Healey, Yong Fan, Wei-Hua Liao, Jianxin Wang and Harrison X Bai
An Automated Pipeline for Rapid Triage of COVID-19 Patients using Artificial Intelligence based on Chest Radiographs and Clinical Data
npj Digital Medicine
- Seyed Ali Bahrainian, Martin Jaggi and Carsten Eickhoff
Self-Supervised Neural Topic Modeling
EMNLP 2021
- Babak Hemmatian, Sheridan Feucht, Rachel Avram, Alexander Wey, Muskaan Garg, Kate Spitalnic, Carsten Eickhoff, Ellie Pavlick, Bjorn Sandstede and Steven A. Sloman
A Novel Corpus of Discourse Structure in Humans and Computers
EMNLP 2021 Workshop on Computational Approaches to Discourse
- Augusto Garcia-Agundez and Carsten Eickhoff
Towards Objective Quantification of Hand Tremors and Bradykinesia using Contactless Sensors: A Systematic Review
Frontiers in Aging Neuroscience 2021
- Krishna Nand Keshava Murthy, Carsten Eickhoff and Krishna Juluru
Weakly Supervised Pneumonia Localization in Chest X-rays using Generative Adversarial Networks
Medical Physics 2021
- Oleg Lesota, Navid Rekabsaz, Daniel Cohen, Klaus Antonius Grasserbauer, Carsten Eickhoff and
Markus Schedl
A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models
ICTIR 2021
- George Zerveas, Dhaval Jayaraman, Srideepika Patel, Anuradha Bhamidipaty and Carsten Eickhoff
A Transformer-based Framework for Multivariate Time Series Representation Learning
KDD 2021
- Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz and Carsten Eickhoff
Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models
SIGIR 2021
- Daniel Cohen
Allowing for the Grounded Use of Temporal Difference Learning in Large Ranking Models via Substate Updates
SIGIR 2021
- Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey and Carsten Eickhoff
TripClick: The Log Files of a Large Health Web Search Engine
SIGIR 2021
- Augusto Garcia-Agundez, Oluwasegun Ojo, Harold A. Hernández-Roig, Carlos Baquero, Davide Frey, Chryssis Georgiou, Mathieu Goessens, Rosa E. Lillo, Raquel Menezes, Nicolas Nicolaou, Antonio Ortega, Efstathios Stavrakis and Antonio Fernandez Anta
Estimating the COVID-19 Prevalence in Spain With Indirect Reporting via Open Surveys
Frontiers in Public Health 2021
- Babak Hemmatian, Nathaniel Goodman, Jonathan Lee, Sabina J. Sloman, Uriel Cohen Priva, Carsten Eickhoff and Steven Sloman
Narratives of Consensus in a Decade of Reddit Discourse about Hot-Button Issues
ICT 2021
- Babak Hemmatian, Rachel Avram, Sheridan Feucht, Alexander Wey, Kate Spitalnic, Muskaan Garg, Carsten Eickhoff, Björn Sandstede, Ellie Pavlick and Steven Sloman
The Anatomy of Marijuana Legalization Discourse: Narrative and Argument Quality in Human and Computer-generated Texts
ICT 2021
- Alex Wey, Babak Hemmatian, Sheridan Feucht, Kate Spitalnic, Muskaan Garg, Carsten Eickhoff, Ellie Pavlick, Björn Sandstede and Steven Sloman
Can computers tell a story? Discourse Structure in Computer-generated Text and Humans
CogSci 2021
- Sheridan Feucht, Babak Hemmatian, Alex Wey, Kate Spitalnic, Muskaan Garg, Carsten Eickhoff, Ellie Pavlick, Björn Sandstede and Steven Sloman
The Anatomy of Discourse: Linguistic Predictors of Narrative and Argument Quality
CogSci 2021
- Babak Hemmatian, Nathaniel Goodman, Jonathan Lee, Carsten Eickhoff and Steven Sloman
Narratives of Consensus: a Decade of Reddit Discourse on Marijuana Legalization
CogSci 2021
- Ruochen Zhang and Carsten Eickhoff
SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain
NAACL 2021
- Seyed Ali Bahrainian, George Zerveas, Fabio Crestani and Carsten Eickhoff
CATS: Customizable Abstractive Topic-based Summarization
ACM TOIS 2021
- Abdullah Ahmed, Adeel Abbasi and Carsten Eickhoff
Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record Deidentification
AMIA Informatics Summit 2021
- Adeel Abbasi, Yasmin Karasu, Cindy Li, Neel R. Sodha, Carsten Eickhoff, Corey E. Ventetuolo
Machine Learning to Predict Hemorrhage and Thrombosis during Extracorporeal Membrane Oxygenation
Critical Care 2020
- Albert Webson, Zhizhong Chen, Carsten Eickhoff and Ellie Pavlick
Are "Undocumented Workers" the Same as "Illegal Aliens"? Disentangling Denotation and Connotation in Vector Spaces
EMNLP 2020
- Yuanfei Dai, Chenhao Guo, Wenzhong Guo and Carsten Eickhoff.
Drug–drug Interaction Prediction with Wasserstein Adversarial Autoencoder-based Knowledge Graph Embeddings
Briefings in Bioinformatics 2020
- Michael Blaivas, Laura Blaivas, Gary Phillips, Roland Merchant, Mitchell Levy, Adeel Abbasi, Carsten Eickhoff, Nathan Shapiro and Keith Corl.
Development of a Deep Learning Network to Classify Inferior Vena Cava Collapse to Predict Fluid Responsiveness
Journal of Ultrasound in Medicine 2020
- Nina Rank, Boris Pfahringer, Jörg Kempfert, Christof Stamm, Titus Kühne, Felix Schoenrath, Volkmar Falk,Carsten Eickhoff and Alexander Meyer
Deep-learning-based Real-time Prediction of Acute Kidney Injury Outperforms Human Predictive Performance
npj Digital Medicine
- Matthew Stib, Justin Vasquez, Mary Dong, Yun Ho Kim, Sumera Subzwari, Harold Triedman, Amy Wang, Charlene Wang, Anthony Yao, Mahesh Jayaraman, Jerrold Boxerman, Carsten Eickhoff, Ugur Cetintemel, Grayson Baird and Ryan McTaggart
Detecting Large Vessel Occlusion on Multiphase CT Angiography Using a Deep Convolutional Neural Network
Radiology 2020
- Aaron S. Eisman, Nishant R. Shah, Carsten Eickhoff, George Zerveas, Elizabeth S. Chen, Wen-Chih Wu and Indra Neil Sarkar.
Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures
AMIA Annual Symposium 2020
- Avi Arampatzis, Evangelos Kanoulas, Theodora Tsikrika, Stefanos Vrochidis, Hideo Joho, Christina Lioma, Carsten Eickhoff, Aurelie Neveol, Linda Cappellato and Nicola Ferro
Experimental IR Meets Multilinguality, Multimodality and Interaction - Proceedings of the Eleventh International Conference of the CLEF Association (CLEF 2020)
Springer LNCS 2020
- Linda Cappellato, Carsten Eickhoff, Nicola Ferro and Aurelie Neveol
Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum
CLEF 2020
- Jerome Ramos and Carsten Eickhoff
Search Result Explanations Improve Efficiency and Trust
SIGIR 2020
- Babak Hemmatian, Sabina Sloman, Uriel Cohen Priva, Carsten Eickhoff and Steven Sloman
Evidence-responsiveness in a Decade of Reddit Discourse about Hot-button Topics
SIGIR 2020
- Cindy Li, Elizabeth Chen, Guergana Savova, Hamish Fraser and Carsten Eickhoff
Mining Misdiagnosis Patterns from Biomedical Literature
AMIA Informatics Summit 2020
- Gil Alon, Elizabeth Chen, Guergana Savova and Carsten Eickhoff
Diagnosis Prevalence vs. Efficacy in Machine-learning Based Diagnostic Decision Support
AMIA Informatics Summit 2020
- Carsten Eickhoff, Yubin Kim and Ryen W. White
Overview of the Health Search and Data Mining (HSDM 2020) Workshop
WSDM 2020
- Alexander Meyer, Mario Cypko, Carsten Eickhoff, Volkmar Falk and Maximilian Emmert
AI-assisted Care in Medicine: A Revolution or yet Another Blunt Weapon?
European Heart Journal 2019
- Ruochen Zhang, Zenjiang Shen, Carsten Eickhoff and Ellie Pavlick
UndNet: A Mutual Understanding Maximization Framework for Neural Dialogue Generation
Natural Language, Dialogue and Speech Symposium (NDS) 2019
- George Zerveas, Ruochen Zhang, Leila Kim and Carsten Eickhoff
Brown University at TREC Deep Learning 2019
TREC 2019
- Abdullah Ahmed, Bashar Zaidat, Hwai-Liang Tung, Isaac Nathoo, Charles Wang and Carsten Eickhoff
Brown University at TREC Precision Medicine 2019
TREC 2019
- Leandro von Werra, Marcel Schöngens, D. Ece Uzun and Carsten Eickhoff
Generative Adversarial Networks in Precision Oncology
ICTIR 2019
- Carsten Eickhoff, Floran Gmehlin, Anu Patel, Jocelyn Boullier and Hamish Fraser
DC³ - A Diagnostic Case Challenge Collection for Clinical Decision Support
ICTIR 2019
- Yarden Raiskin, Carsten Eickhoff and Patrick E. Beeler
Categorization of Free-text Drug Orders using Character-level Recurrent Neural Networks
International Journal of Medical Informatics 2019
- Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff and Allan Hanbury
On the Effect of Low-Frequency Terms on Neural-IR Models
SIGIR 2019
- Benjamin Insley, Syed Rizvi, Jonathon Cahill, Joshua Stone and Carsten Eickhoff
Deep Neural Net Forecasting of Multiple Sclerosis Disease Severity
71st Annual Meeting of the American Academy of Neurology (AAN)
- Sebastian Hofstätter, Navid Rekabsaz, Mihai Lupu, Carsten Eickhoff and Allan Hanbury
Enriching Word Embeddings for Patent Retrieval with Global Context
ECIR 2019
- Xinrui Lyu, Matthias Hüser, Stephanie L. Hyland, George Zerveas and Gunnar Rätsch
Improving Clinical Predictions through Unsupervised
Time Series Representation Learning
NeurIPS 2018 Machine Learning for Health Workshop (ML4H)
- Xing Wei and Carsten Eickhoff
Embedding Electronic Health Records for Clinical Information Retrieval
Technical Report
- Prakrit Baruah, Riya Dulepet, Kyle Qian and Carsten Eickhoff
Brown University at TREC Precision Medicine 2018.
TREC 2018
- Alexander Meyer, Dina Zverinski, Boris Pfahringer, Jörg Kempfert, Titus Kühne, Simon Sündermann, Christof Stamm, Thomas Hofmann, Volkmar Falk and Carsten Eickhoff
Machine Learning for Real-time Prediction of Complications in Critical Care: A Retrospective Study
The Lancet - Respiratory Medicine
- Harun Mustafa, Ingo Schilken, Mikhail Karasikov Gunnar Rätsch, Carsten Eickhoff and Andre Kahles.
Dynamic Compression Schemes for Graph Coloring
Bioinformatics
- Bogdan Ionescu, Henning Müller, Mauricio Villegas, Alba García Seco De Herrera, Carsten Eickhoff, Vincent Andrearczyk, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Sadid A. Hasan, Yuan Ling, Oladimeji Farri, Joey Liu, Matthew Lungren, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Liting Zhou, Mathias Lux and Cathal Gurrin
Overview of ImageCLEF 2018 - Challenges, Datasets and Evaluation
CLEF 2018
- Alba García Seco De Herrera, Carsten Eickhoff, Vincent Andrearczyk and Henning Müller
Overview of the ImageCLEF 2018 Caption Prediction Tasks
ImageCLEF 2018
- Xing Wei and Carsten Eickhoff
Distant Supervision in Clinical Information Retrieval
AMIA 2018
- Carsten Eickhoff
Cognitive Biases in Crowdsourcing
WSDM 2018
- Jing Yang and Carsten Eickhoff
Unsupervised Learning of Parsimonious General-Purpose Embeddings for User and Location Modelling
TOIS
- Thijs Vogels, Octavian-Eugen Ganea and Carsten Eickhoff
Web2Text: Deep Structured Boilerplate Removal
ECIR 2018
- Ferenc Galkó and Carsten Eickhoff
Biomedical Question Answering via Weighted Neural Network Passage Retrieval
ECIR 2018
- Negar Foroutan Eghlidi, Jannick Griner, Nicolas Mesot, Leandro von Werra and Carsten Eickhoff
ETH Zurich at TREC Precision Medicine 2017
TREC 2017
- Carsten Eickhoff, Jacek Gwizdka, Claudia Hauff and Jiyin He
Introduction to the Special Issue on Search as Learning
Information Retrieval (20:5)
- Zsolt Mezei and Carsten Eickhoff
Evaluating Music Recommender Systems for Groups
RecSys 2017 Workshop on Value-Aware Multi-Stakeholder Recommendation
- Noah Hollmann and Carsten Eickhoff
Ranking and Feedback-based Stopping for Recall-centric Document Retrieval
CLEF 2017
- Bogdan Ionescu, Henning Müller, Mauricio Villegas, Helbert Arenas, Giulia Boato, Duc-Tien Dang-Nguyen, Yashin Dicente Cid, Carsten Eickhoff, Alba García Seco De Herrera, Cathal Gurrin, Md Bayzidul Islam, Vassili Kovalev, Vitali Liautchuk, Josiane Mothe, Luca Piras, Michael Ziegler and Immanuel Schwall
Overview of ImageCLEF 2017: Information Extraction from Images
CLEF 2017
- Carsten Eickhoff, Immanuel Schwall, Alba García Seco De Herrera and Henning Müller
Overview of ImageCLEFcaption 2017 – Image Caption Prediction and Concept Detection for Biomedical Images
ImageCLEF 2017
- Rolf Jagerman, Carsten Eickhoff and Maarten de Rijke
Computing Web-scale Topic Models using an Asynchronous Parameter Server
SIGIR 2017
- Piyush Bansal, Carsten Eickhoff and Thomas Hofmann
Active Content-based Crowdsourcing Task Selection
CIKM 2016
- Octavian-Eugen Ganea, Marina Ganea, Aurelien Lucchi, Carsten Eickhoff and Thomas Hofmann
Probabilistic Bag-of-hyperlinks Model for Entity Linking
The Web Conference 2016
- Maria Han Veiga and Carsten Eickhoff
A Cross-platform Collection of Social Network Profiles
SIGIR 2016
- Wen Li, Carsten Eickhoff and Arjen P. de Vries
Probabilistic Local Expert Retrieval
ECIR 2016
- Piyush Bansal, Andrey Barsan, Martin Davtyan and Carsten Eickhoff
Content-aware Crowdsourcing Vote Aggregation
Dutch-Belgian IR Workshop 2016
- Paulina Grnarova, Florian Schmidt, Stephanie L Hyland and Carsten Eickhoff
Neural document embeddings for intensive care patient mortality prediction
NeurIPS Workshop on Machine Learning for Health 2016
- Maria Han Veiga and Carsten Eickhoff
Privacy Leakage Through Innocent Content Sharing in Online Social Networks
SIGIR Workshop on Privacy Preserving Information Retrieval 2016
- Lorenz Kuhn and Carsten Eickhoff
Implicit Negative Feedback in Clinical Information Retrieval
SIGIR Medical Information Retrieval Workshop 2016
- Jared Niederhauser, Carsten Eickhoff, Aurelien Lucchi and Thomas Hofmann
Efficient Web Search Diversification via Approximate Graph Coverage
CIKM Workshop on Big Network Analytics 2016
- Jeroen Vuurens, Carsten Eickhoff and Arjen P. de Vries
Efficient Parallel Learning of word2vec
ICML Machine Learning Systems Workshop 2016
- Nino Weingart and Carsten Eickhoff
Retrieval Techniques for Contextual Learning
SIGIR Search as Learning Workshop 2016
- Carsten Eickhoff and Arjen P. de Vries
Robust Statistical Methods in Web Retrieval
SIGWEB Newsletter
- Simon Greuter, Philipp Junker, Lorenz Kuhn, Felix Mance, Virgile Mermet, Angela Rellstab and Carsten Eickhoff
ETH Zurich at TREC 2016 Clinical Decision Support
TREC 2016
- Carsten Eickhoff and Victor Lavrenko
Towards Role Detection in Virtual Worlds
Computers in Entertainment 6 (1), 2012
- Leif Azzopardi, Doug Dowie, Sergio Duarte, Carsten Eickhoff, Richard Glassey, Karl Gyllstrom, Djoerd Hiemstra, Franciska De Jong, Frea Kruisinga, Kelly Marshall, et al.
Emse: Supporting Childrens Information Needs within a Hospital Environment
ECIR 2012
- Carsten Eickhoff, Leif Azzopardi, Djoerd Hiemstra, Franciska MG de Jong, Arjen P de Vries, Doug Dowie, Sergio Duarte Torres, Richard Glassey, Karl Gyll-strom, Frea Kruisinga, et al.
Emse: Initial Evaluation of a Child-Friendly Medical Search System
CHIIR 2012
- Carsten Eickhoff, Pieter Dekker and Arjen P. de Vries
Supporting Children's Web Search in School Environments
CHIIR 2012
- Carsten Eickhoff, Christopher G. Harris, Arjen P. de Vries and Padmini Srinivasan
Quality Through Flow and Immersion: Gamifying Crowdsourced Relevance Assessments
SIGIR 2012
- Carsten Eickhoff
Relevance as a Subjective and Situational Multidimensional Concept
SIGIR 2012
- Wen Li, Carsten Eickhoff and Arjen P. de Vries
Want a Coffee? Predicting User Trails
SIGIR 2012
- Karl Gyllstrom, Carsten Eickhoff, Arjen P. de Vries and Marie-Francine Moens
The Downside of Markup: Examining the Harmful Effects of CSS and Javascript on Indexing Today's Web
CIKM 2012
- Gabriella Kazai, Monica Landoni, Carsten Eickhoff and Peter Brusilovsky
BooksOnline'12: 5th Workshop on Online Books, Complementary Social Media and their Impact
CIKM 2012
- Anton Leuski, Carsten Eickhoff, James Ganis and Victor Lavrenko
The Blademistress Corpus: From Talk to Action in Virtual Worlds
LREC 2012
- Gabriella Kazai, Carsten Eickhoff and Peter Brusilovsky
Report on BooksOnline'11: 4th Workshop on Online Books, Complementary Social Media and their Impact
SIGIR Forum 46, 2012
- Carsten Eickhoff, Pavel Serdyukov and Arjen P. de Vries
A Combined Topical/Non-Topical Approach to Identifying Web Sites for Children
WSDM 2011
- Carsten Eickhoff and Arjen P. de Vries
How Crowdsourcable is Your Task?
WSDM 2011 Workshop on Crowdsourcing for Search and Data Mining
- Raynor Vliegendhart, Martha Larson, Christoph Kofler, Carsten Eickhoff and Johan Pouwelse
Inverstigating Factors Influencing Crowdsourcing Tasks with High Imaginative Load
WSDM 2011 Workshop on Crowdsourcing for Search and Data Mining
- Carsten Eickhoff, Tamara Polajnar, Karl Gyllstrom, Sergio Duarte Torres and Richard Glassey
Web Search Query Assistance Functionality for Young Audiences
ECIR 2011
- Gabriella Kazai, Carsten Eickhoff and Peter Brusilovsky
BooksOnline'11: 4th Workshop on Online Books, Complementary Social Media and their Impact
CIKM 2011
- Wen Li, Pavel Serdyukov, Arjen P. de Vries, Carsten Eickhoff and Martha Larson
The Where in the Tweet
CIKM 2011
- Carsten Eickhoff, Christopher G. Harris, Padmini Srinivasan and Arjen P. de Vries
GeAnn: Games for Engaging Annotations
SIGIR 2011 Workshop on Crowdsourcing for Information Retrieval
- Jeroen Vuurens, Arjen P. de Vries and Carsten Eickhoff
How Much Spam Can You Take? An Analysis of Crowdsourcing Results to Increase Accuracy
SIGIR 2011 Workshop on Crowdsourcing for Information Retrieval
- Jeroen Vuurens, Carsten Eickhoff and Arjen P. de Vries
Managing the Quality of Large-Scale Crowdsourcing
TREC 2011
- Carsten Eickhoff, Christopher G. Harris, Padmini Srinivasan and Arjen P. de Vries
GeAnn at the TREC 2011 Crowdsourcing Track
TREC 2011
- Wen li, Carsten Eickhoff and Arjen P. de Vries
DMIR on Microblog Track 2011
TREC 2011