Daniel E. Acuna

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 34

Top Topics

Robust Recognition

Scientific Publications

Top Venues

J. Open Source Softw.

Inf. Process. Manag.

Publications

Tong Zeng, Daniel E. Acuna
Dataset Mention Extraction in Scientific Articles Using Bi-LSTM-CRF Model. CoRR (2024)
Tong Zeng, Daniel E. Acuna
Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models. CoRR (2024)
Huimin Xu, Meijun Liu, Yi Bu, Shujing Sun, Yi Zhang, Chenwei Zhang, Daniel E. Acuna, Steven Gray, Eric T. Meyer, Ying Ding
The impact of heterogeneous shared leadership in scientific teams. Inf. Process. Manag. 61 (1) (2024)
Tong Zeng, Daniel E. Acuna
GotFunding: A grant recommendation system based on scientific articles. CoRR (2024)
Elizabeth Novoa-Monsalve, David Patterson, Stephanie Ludi, Daniel E. Acuna
Science Needs You: Mobilizing for Diversity in Award Recognition. Commun. ACM 67 (8) (2024)
Adrien Bibal, Nourah M. Salem, Rémi Cardon, Elizabeth K. White, Daniel E. Acuna, Robin Burke, Lawrence E. Hunter
RecSOI: recommending research directions using statements of ignorance. J. Biomed. Semant. 15 (1) (2024)
Lizhen Liang, Han Zhuang, James Zou, Daniel E. Acuna
The complementary contributions of academia and industry to AI research. CoRR (2024)
Han Zhuang, Tzu-Yang Huang, Daniel E. Acuna
A computational analysis of accessibility, readability, and explainability of figures in open access publications. EPJ Data Sci. 12 (1) (2023)
Meijun Liu, Yi Bu, Daifeng Li, Ying Ding, Daniel E. Acuna
Effects of Same-Race Mentorship Preferences on Academic Performance and Survival. CoRR (2023)
Huimin Xu, Meijun Liu, Yi Bu, Shujing Sun, Yi Zhang, Chenwei Zhang, Daniel E. Acuna, Steven Gray, Eric Meyer, Ying Ding
The Impact of Heterogeneous Shared Leadership in Scientific Teams. CoRR (2023)
Chao Zhou, Cheng Qiu, Daniel E. Acuna
Paraphrase Identification with Deep Learning: A Review of Datasets and Methods. CoRR (2022)
Daniel E. Acuna, Zijun Yi, Lizhen Liang, Han Zhuang
Predicting the Usage of Scientific Datasets Based on Article, Author, Institution, and Journal Bibliometrics. iConference (1) (2022)
Daniel E. Acuna, Jian Jian, Tong Zeng, Lizhen Liang, Han Zhuang
Predicting the longevity of resources shared in scientific publications. CoRR (2022)
Han Zhuang, Tzu-Yang Huang, Daniel E. Acuna
Graphical integrity issues in open access publications: Detection and patterns of proportional ink violations. PLoS Comput. Biol. 17 (12) (2021)
Qing Ke, Lizhen Liang, Ying Ding, Stephen V. David, Daniel E. Acuna
A dataset of mentorship in science with semantic and demographic estimations. CoRR (2021)
Daniel E. Acuna, Lizhen Liang
Are AI Ethics Conferences Different and More Diverse Compared to Traditional Computer Science Conferences? AIES (2021)
Daniel E. Acuna, Zijun Yi, Kartik Nagre, Priya Matnani
EILEEN: A recommendation system for scientific publications and grants. CoRR (2021)
Ziyue Xiang, Daniel E. Acuna
Scientific Image Tampering Detection Based On Noise Inconsistencies: A Method And Datasets. CoRR (2020)
Lizhen Liang, Daniel E. Acuna
Artificial mental phenomena: psychophysics as a framework to detect perception biases in AI models. FAT* (2020)
Tong Zeng, Longfeng Wu, Sarah Bratt, Daniel E. Acuna
Assigning credit to scientific datasets using article citation networks. J. Informetrics 14 (2) (2020)
Tong Zeng, Daniel E. Acuna
Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models. Scientometrics 124 (1) (2020)
Lizhen Liang, Daniel E. Acuna
Don't judge a journal by its cover?: Appearance of a Journal's website as predictor of blacklisted Open-Access status. ASIST (2020)
Tong Zeng, Daniel E. Acuna
GotFunding: A grant recommendation system based on scientific articles. ASIST (2020)
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, Drew Harris, Beibin Li, Olivier Pieters, Scott Otterson, Giovanni De Toni, Chris Rodgers, Eva L. Dyer, Matti Hamalainen, Konrad P. Körding, Pavan Ramkumar
Pyglmnet: Python implementation of elastic-net regularized generalized linear models. J. Open Source Softw. 5 (47) (2020)
Titipat Achakulvisut, Daniel E. Acuna, Konrad P. Körding
Pubmed Parser: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset XML Dataset. J. Open Source Softw. 5 (46) (2020)
Daniel E. Acuna, Ziyue Xiang
Estimating a Null Model of Scientific Image Reuse to Support Research Integrity Investigations. CoRR (2020)
Tong Zeng, Longfeng Wu, Sarah Bratt, Daniel E. Acuna
Assigning credit to scientific datasets using article citation networks. CoRR (2020)
Han Zhuang, Daniel E. Acuna
The effect of novelty on the future impact of scientific grants. CoRR (2019)
Lizhen Liang, Daniel E. Acuna
Artificial mental phenomena: Psychophysics as a framework to detect perception biases in AI models. CoRR (2019)
Titipat Achakulvisut, Chandra Bhagavatula, Daniel E. Acuna, Konrad P. Körding
Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning. CoRR (2019)
Tong Zeng, Alain Shema, Daniel E. Acuna
Dead Science: Most Resources Linked in Biomedical Articles Disappear in Eight Years. iConference (2019)
Misha Teplitskiy, Daniel E. Acuna, Aida Elamrani-Raoult, Konrad P. Körding, James Evans
The Social Structure of Consensus in Scientific Review. CoRR (2018)
Alain Shema, Daniel E. Acuna
Show Me Your App Usage and I Will Tell Who Your Close Friends Are: Predicting User's Context from Simple Cellphone Activity. CHI Extended Abstracts (2017)
Titipat Achakulvisut, Daniel E. Acuna, Tulakan Ruangrong, Konrad P. Körding
Science Concierge: A fast content-based recommendation system for scientific publications. CoRR (2016)
Andrea Lancichinetti, M. Irmak Sirer, Jane X. Wang, Daniel E. Acuna, Konrad P. Körding, Luís A. Nunes Amaral
A high-reproducibility and high-accuracy method for automated topic classification. CoRR (2014)
Guy Avraham, Ilana Nisky, Hugo L. Fernandes, Daniel E. Acuna, Konrad P. Körding, Gerald E. Loeb, Amir Karniel
Toward Perceiving Robots as Humans: Three Handshake Models Face the Turing-Like Handshake Test. IEEE Trans. Haptics 5 (3) (2012)
Daniel E. Acuna, Paul R. Schrater
Structure Learning in Human Sequential Decision-Making. NIPS (2008)
Daniel E. Acuna, Víctor Parada
Modeling expert players' behavior through data mining. SCCC (2005)