Modeling expert players' behavior through data mining. - Daniel E. Acuna; Víctor Parada (SCCC, 2005)

Structure Learning in Human Sequential Decision-Making. - Daniel E. Acuña; Paul R. Schrater (PLoS Comput. Biol., 2010)

Toward Perceiving Robots as Humans: Three Handshake Models Face the Turing-Like Handshake Test. - Guy Avraham; Ilana Nisky; Hugo L. Fernandes; Daniel E. Acuna; Konrad P. Körding; Gerald E. Loeb; Amir Karniel (IEEE Trans. Haptics, 2012)

A high-reproducibility and high-accuracy method for automated topic classification. - Andrea Lancichinetti; M. Irmak Sirer; Jane X. Wang; Daniel E. Acuna; Konrad P. Körding; Luís A. Nunes Amaral (CoRR, 2014)

Science Concierge: A fast content-based recommendation system for scientific publications. - Titipat Achakulvisut; Daniel E. Acuna; Tulakan Ruangrong; Konrad P. Körding (CoRR, 2016)

Show Me Your App Usage and I Will Tell Who Your Close Friends Are: Predicting User's Context from Simple Cellphone Activity. - Alain Shema; Daniel E. Acuna (CHI Extended Abstracts, 2017)

The Social Structure of Consensus in Scientific Review. - Misha Teplitskiy; Daniel E. Acuna; Aida Elamrani-Raoult; Konrad P. Körding; James Evans (CoRR, 2018)

Dead Science: Most Resources Linked in Biomedical Articles Disappear in Eight Years. - Tong Zeng; Alain Shema; Daniel E. Acuna (iConference, 2019)

Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning. - Titipat Achakulvisut; Chandra Bhagavatula; Daniel E. Acuna; Konrad P. Körding (CoRR, 2019)

The effect of novelty on the future impact of scientific grants. - Han Zhuang; Daniel E. Acuna (CoRR, 2019)

Don't judge a journal by its cover?: Appearance of a Journal's website as predictor of blacklisted Open-Access status. - Lizhen Liang; Daniel E. Acuna (ASIST, 2020)

GotFunding: A grant recommendation system based on scientific articles. - Tong Zeng; Daniel E. Acuna (ASIST, 2020)

Artificial mental phenomena: psychophysics as a framework to detect perception biases in AI models. - Lizhen Liang; Daniel E. Acuna (FAT*, 2020)

Scientific Image Tampering Detection Based On Noise Inconsistencies: A Method And Datasets. - Ziyue Xiang; Daniel E. Acuna (CoRR, 2020)

Estimating a Null Model of Scientific Image Reuse to Support Research Integrity Investigations. - Daniel E. Acuna; Ziyue Xiang (CoRR, 2020)

Assigning credit to scientific datasets using article citation networks. - Tong Zeng; Longfeng Wu; Sarah Bratt; Daniel E. Acuna (J. Informetrics, 2020)

Pubmed Parser: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset XML Dataset. - Titipat Achakulvisut; Daniel E. Acuna; Konrad P. Körding (J. Open Source Softw., 2020)

Pyglmnet: Python implementation of elastic-net regularized generalized linear models. - Mainak Jas; Titipat Achakulvisut; Aid Idrizovic; Daniel E. Acuna; Matthew Antalek; Vinícius Marques; Tommy Odland; Ravi Garg; Mayank Agrawal; Yu Umegaki; Peter Foley; Hugo Fernandes; et al. (J. Open Source Softw., 2020)

Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models. - Tong Zeng; Daniel E. Acuna (Scientometrics, 2020)

Are AI Ethics Conferences Different and More Diverse Compared to Traditional Computer Science Conferences? - Daniel E. Acuna; Lizhen Liang (AIES, 2021)

A dataset of mentorship in science with semantic and demographic estimations. - Qing Ke; Lizhen Liang; Ying Ding 001; Stephen V. David; Daniel E. Acuna (CoRR, 2021)

EILEEN: A recommendation system for scientific publications and grants. - Daniel E. Acuna; Zijun Yi; Kartik Nagre; Priya Matnani (CoRR, 2021)

Graphical integrity issues in open access publications: Detection and patterns of proportional ink violations. - Han Zhuang; Tzu-Yang Huang; Daniel E. Acuna (PLoS Comput. Biol., 2021)

Predicting the Usage of Scientific Datasets Based on Article, Author, Institution, and Journal Bibliometrics. - Daniel E. Acuna; Zijun Yi; Lizhen Liang; Han Zhuang (iConference (1), 2022)

International Workshop on Data-driven Science of Science. - Yi Bu 001; Meijun Liu; Yujia Zhai; Ying Ding 001; Feng Xia 001; Daniel E. Acuña; Yi Zhang 095 (KDD, 2022)

Predicting the longevity of resources shared in scientific publications. - Daniel E. Acuna; Jian Jian; Tong Zeng; Lizhen Liang; Han Zhuang (CoRR, 2022)

Paraphrase Identification with Deep Learning: A Review of Datasets and Methods. - Chao Zhou; Cheng Qiu; Daniel E. Acuna (CoRR, 2022)

A computational analysis of accessibility, readability, and explainability of figures in open access publications. - Han Zhuang; Tzu-Yang Huang; Daniel E. Acuna (EPJ Data Sci., 2023)

Comparative Explanations for Recommendation: Research Directions. - Meysam Varasteh; Elizabeth McKinnie; Amanda Aird; Daniel E. Acuña; Robin Burke (IntRS@RecSys, 2024)

The complementary contributions of academia and industry to AI research. - Lizhen Liang; Han Zhuang; James Zou; Daniel E. Acuna (CoRR, 2024)

Dataset Mention Extraction in Scientific Articles Using Bi-LSTM-CRF Model. - Tong Zeng; Daniel E. Acuna (CoRR, 2024)

Incorporating costs and benefits to the evaluation of uncertain research results: Applications to cancer research funding. - Han Zhuang; Daniel E. Acuna (Quant. Sci. Stud., 2024)

The impact of heterogeneous shared leadership in scientific teams. - Huimin Xu; Meijun Liu; Yi Bu 001; Shujing Sun; Yi Zhang 095; Chenwei Zhang; Daniel E. Acuna; Steven Gray; Eric T. Meyer; Ying Ding 001 (Inf. Process. Manag., 2024)

Science Needs You: Mobilizing for Diversity in Award Recognition. - Elizabeth Novoa-Monsalve; David Patterson; Stephanie Ludi; Daniel E. Acuna (Commun. ACM, 2024)

RecSOI: recommending research directions using statements of ignorance. - Adrien Bibal; Nourah M. Salem; Rémi Cardon; Elizabeth K. White; Daniel E. Acuna; Robin Burke; Lawrence E. Hunter (J. Biomed. Semant., 2024)

Paraphrase Identification With Deep Learning: A Review of Datasets and Methods. - Chao Zhou; Cheng Qiu; Lizhen Liang; Daniel E. Acuna (IEEE Access, 2025)

Dissecting the gender divide: Authorship and acknowledgment in scientific publications. - Keigo Kusumegi; Yukie Sano; Daniel E. Acuña (CoRR, 2025)