The many facets of HCI. - Evelyn P. Rozanski; Anne R. Haake (CITC, 2003)

Here, there, anywhere: remote usability testing that works. - Katherine E. Thompson; Evelyn P. Rozanski; Anne R. Haake (SIGITE Conference, 2004)

eyePatterns: software for identifying patterns and similarities across fixation sequences. - Julia M. West; Anne R. Haake; Evelyn P. Rozanski; Keith S. Karn (ETRA, 2006)

Framework of a Real-Time Adaptive Hypermedia System. - Rui Li 002; Evelyn P. Rozanski; Anne R. Haake (UIIR@SIGIR, 2009)

Using human experts' gaze data to evaluate image processing algorithms. - Preethi Vaidyanathan; Jeff B. Pelz; Rui Li 002; Sai Mulpuru; Dong Wang; Pengcheng Shi; Cara Calvelli; Anne R. Haake (IVMSP, 2011)

Exploring interaction modes for image retrieval. - Corey Engelman; Rui Li 002; Jeff B. Pelz; Pengcheng Shi; Anne R. Haake (NGCA, 2011)

Linking Uncertainty in Physicians' Narratives to Diagnostic Correctness. - Wilson McCoy; Cecilia Ovesdotter Alm; Cara Calvelli; Jeff B. Pelz; Pengcheng Shi; Anne R. Haake (ExProM@ACL, 2012)

Disfluencies as Extra-Propositional Indicators of Cognitive Processing. - Kathryn Womack; Wilson McCoy; Cecilia Ovesdotter Alm; Cara Calvelli; Jeff B. Pelz; Pengcheng Shi; Anne R. Haake (ExProM@ACL, 2012)

Annotation Schemes to Encode Domain Knowledge in Medical Narratives. - Wilson McCoy; Cecilia Ovesdotter Alm; Cara Calvelli; Rui Li 002; Jeff B. Pelz; Pengcheng Shi; Anne R. Haake (LAW@ACL, 2012)

Visualinguistic Approach to Medical Image Understanding. - Preethi Vaidyanathan; Jeff B. Pelz; Wilson McCoy; Cara Calvelli; Cecilia Ovesdotter Alm; Pengcheng Shi; Anne R. Haake (AMIA, 2012)

Learning Image-Derived Eye Movement Patterns to Characterize Perceptual Expertise. - Rui Li 002; Jeff B. Pelz; Pengcheng Shi; Anne R. Haake (CogSci, 2012)

Learning eye movement patterns for characterization of perceptual expertise. - Rui Li 002; Jeff B. Pelz; Pengcheng Shi; Cecilia Ovesdotter Alm; Anne R. Haake (ETRA, 2012)

Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes. - Rui Li 002; Pengcheng Shi; Anne R. Haake (CVPR, 2013)

Markers of confidence and correctness in spoken medical narratives. - Kathryn Womack; Cecilia Ovesdotter Alm; Cara Calvelli; Jeff B. Pelz; Pengcheng Shi; Anne R. Haake (INTERSPEECH, 2013)

Using linguistic analysis to characterize conceptual units of thought in spoken medical narratives. - Kathryn Womack; Cecilia Ovesdotter Alm; Cara Calvelli; Jeff B. Pelz; Pengcheng Shi; Anne R. Haake (INTERSPEECH, 2013)

Towards Automatic Annotation of Clinical Decision-Making Style. - Limor Hochberg; Cecilia Ovesdotter Alm; Esa M. Rantanen; Qi Yu 001; Caroline M. DeLong; Anne R. Haake (LAW@COLING, 2014)

Decision Style in a Clinical Reasoning Corpus. - Limor Hochberg; Cecilia Ovesdotter Alm; Esa M. Rantanen; Caroline M. DeLong; Anne R. Haake (BioNLP@ACL, 2014)

Towards multimodal modeling of physicians' diagnostic confidence and self-awareness using medical narratives. - Joseph Bullard; Cecilia Ovesdotter Alm; Qi Yu 001; Pengcheng Shi; Anne R. Haake (COLING, 2014)

Infusing perceptual expertise and domain knowledge into a human-centered image retrieval system: a prototype application. - Xuan Guo; Rui Li 002; Cecilia Ovesdotter Alm; Qi Yu 001; Jeff B. Pelz; Pengcheng Shi; Anne R. Haake (ETRA, 2014)

Recurrence quantification analysis reveals eye-movement behavior differences between experts and novices. - Preethi Vaidyanathan; Jeff B. Pelz; Cecilia Ovesdotter Alm; Pengcheng Shi; Anne R. Haake (ETRA, 2014)

Fusing Multimodal Human Expert Data to Uncover Hidden Semantics. - Xuan Guo; Qi Yu 001; Rui Li 002; Cecilia Ovesdotter Alm; Anne R. Haake (GazeIn@ICMI, 2014)

From spoken narratives to domain knowledge: Mining linguistic data for medical image understanding. - Xuan Guo; Qi Yu 001; Cecilia Ovesdotter Alm; Cara Calvelli; Jeff B. Pelz; Pengcheng Shi; Anne R. Haake (Artif. Intell. Medicine, 2014)

Computational Integration of Human Vision and Natural Language through Bitext Alignment. - Preethi Vaidyanathan; Emily Prud'hommeaux; Cecilia Ovesdotter Alm; Jeff B. Pelz; Anne R. Haake (VL@EMNLP, 2015)

Alignment of Eye Movements and Spoken Language for Semantic Image Understanding. - Preethi Vaidyanathan; Emily Prud'hommeaux; Cecilia Ovesdotter Alm; Jeff B. Pelz; Anne R. Haake (IWCS, 2015)

Fusing eye movements and observer narratives for expert-driven image-region annotations. - Preethi Vaidyanathan; Jeff B. Pelz; Emily Prud'hommeaux; Cecilia Ovesdotter Alm; Anne R. Haake (ETRA, 2016)

An Expert-in-the-loop Paradigm for Learning Medical Image Grouping. - Xuan Guo; Qi Yu 001; Rui Li 002; Cecilia Ovesdotter Alm; Cara Calvelli; Pengcheng Shi; Anne R. Haake (PAKDD (1), 2016)

Modeling eye movement patterns to characterize perceptual skill in image-based diagnostic reasoning processes. - Rui Li 002; Pengcheng Shi; Jeff B. Pelz; Cecilia Ovesdotter Alm; Anne R. Haake (Comput. Vis. Image Underst., 2016)

Intelligent medical image grouping through interactive learning. - Xuan Guo; Qi Yu 001; Rui Li 002; Cecilia Ovesdotter Alm; Cara Calvelli; Pengcheng Shi; Anne R. Haake (Int. J. Data Sci. Anal., 2016)

A Pedagogical Model for Computational Linguistics across Curricular Boundaries. - Cecilia Ovesdotter Alm; Kathryn Womack; Anne R. Haake; Timothy Engström (Lang. Linguistics Compass, 2016)

Modeling Physicians' Utterances to Explore Diagnostic Decision-making. - Xuan Guo; Rui Li 002; Qi Yu 001; Anne R. Haake (IJCAI, 2017)

Sparse Covariance Modeling in High Dimensions with Gaussian Processes. - Rui Li 002; Kishan KC; Feng Cui; Justin Domke; Anne R. Haake (NeurIPS, 2018)

GNE: a deep learning framework for gene network inference by aggregating biological information. - Kishan KC; Rui Li 002; Feng Cui; Qi Yu 001; Anne R. Haake (BMC Syst. Biol., 2019)

Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction. - Kishan KC; Feng Cui; Anne R. Haake; Rui Li 002 (ICPR, 2020)

Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains. - Ervine Zheng; Qi Yu 001; Rui Li 002; Pengcheng Shi; Anne R. Haake (NeurIPS, 2020)

Histopathological distinction of non-invasive and invasive bladder cancers using machine learning approaches. - Peng-Nien Yin; Kishan KC; Shishi Wei; Qi Yu 001; Rui Li 002; Anne R. Haake; Hiroshi Miyamoto; Feng Cui (BMC Medical Informatics Decis. Mak., 2020)

A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation. - Ervine Zheng; Qi Yu 001; Rui Li 002; Pengcheng Shi; Anne R. Haake (AAAI, 2021)

Dual-Level Adaptive Information Filtering for Interactive Image Segmentation. - Ervine Zheng; Qi Yu 001; Rui Li 002; Pengcheng Shi; Anne R. Haake (AISTATS, 2022)

Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks. - Kishan K. C.; Rui Li 002; Paribesh Regmi; Anne R. Haake (CoRR, 2022)

Predicting Biomedical Interactions With Higher-Order Graph Convolutional Networks. - Kishan KC; Rui Li 002; Feng Cui; Anne R. Haake (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Knowledge Acquisition for Human-In-The-Loop Image Captioning. - Ervine Zheng; Qi Yu 001; Rui Li 002; Pengcheng Shi; Anne R. Haake (AISTATS, 2023)