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Daniel E. Acuna
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2020 – today
- 2024
- [j11]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): 2 (2024) - [j10]Elizabeth Novoa-Monsalve, David Patterson, Stephanie Ludi, Daniel E. Acuna:
Science Needs You: Mobilizing for Diversity in Award Recognition. Commun. ACM 67(8): 18-21 (2024) - [j9]Huimin Xu
, Meijun Liu, Yi Bu, Shujing Sun
The impact of heterogeneous shared leadership in scientific teams. Inf. Process. Manag. 61(1): 103542 (2024) - [i18]Lizhen Liang, Han Zhuang, James Zou, Daniel E. Acuna:
The complementary contributions of academia and industry to AI research. CoRR abs/2401.10268 (2024) - [i17]Tong Zeng, Daniel E. Acuna:
Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models. CoRR abs/2405.12206 (2024) - [i16]Tong Zeng, Daniel E. Acuna:
GotFunding: A grant recommendation system based on scientific articles. CoRR abs/2405.12840 (2024) - [i15]Tong Zeng, Daniel E. Acuna:
Dataset Mention Extraction in Scientific Articles Using Bi-LSTM-CRF Model. CoRR abs/2405.13135 (2024) - 2023
- [j8]Han Zhuang
A computational analysis of accessibility, readability, and explainability of figures in open access publications. EPJ Data Sci. 12(1): 5 (2023) - [i14]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. CoRR abs/2306.15804 (2023) - 2022
- [c10]Daniel E. Acuna
Predicting the Usage of Scientific Datasets Based on Article, Author, Institution, and Journal Bibliometrics. iConference (1) 2022: 42-52 - [c9]Yi Bu, Meijun Liu, Yujia Zhai, Ying Ding, Feng Xia, Daniel E. Acuña, Yi Zhang
International Workshop on Data-driven Science of Science. KDD 2022: 4856-4857 - [i13]Daniel E. Acuna, Jian Jian, Tong Zeng, Lizhen Liang, Han Zhuang:
Predicting the longevity of resources shared in scientific publications. CoRR abs/2203.12800 (2022) - [i12]Chao Zhou, Cheng Qiu, Daniel E. Acuna:
Paraphrase Identification with Deep Learning: A Review of Datasets and Methods. CoRR abs/2212.06933 (2022) - 2021
- [j7]Han Zhuang
Graphical integrity issues in open access publications: Detection and patterns of proportional ink violations. PLoS Comput. Biol. 17(12) (2021) - [c8]Daniel E. Acuna, Lizhen Liang
Are AI Ethics Conferences Different and More Diverse Compared to Traditional Computer Science Conferences? AIES 2021: 307-315 - [i11]Qing Ke, Lizhen Liang, Ying Ding, Stephen V. David, Daniel E. Acuna:
A dataset of mentorship in science with semantic and demographic estimations. CoRR abs/2106.06487 (2021) - [i10]Daniel E. Acuna, Zijun Yi, Kartik Nagre, Priya Matnani:
EILEEN: A recommendation system for scientific publications and grants. CoRR abs/2110.09663 (2021) - 2020
- [j6]Tong Zeng, Longfeng Wu, Sarah Bratt, Daniel E. Acuna
Assigning credit to scientific datasets using article citation networks. J. Informetrics 14(2): 101013 (2020) - [j5]Titipat Achakulvisut, Daniel E. Acuna
Pubmed Parser: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset XML Dataset. J. Open Source Softw. 5(46): 1979 (2020) - [j4]Mainak Jas
Pyglmnet: Python implementation of elastic-net regularized generalized linear models. J. Open Source Softw. 5(47): 1959 (2020) - [j3]Tong Zeng, Daniel E. Acuna
Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models. Scientometrics 124(1): 399-428 (2020) - [c7]Lizhen Liang
Don't judge a journal by its cover?: Appearance of a Journal's website as predictor of blacklisted Open-Access status. ASIST 2020 - [c6]Tong Zeng, Daniel E. Acuna:
GotFunding: A grant recommendation system based on scientific articles. ASIST 2020 - [c5]Lizhen Liang
Artificial mental phenomena: psychophysics as a framework to detect perception biases in AI models. FAT* 2020: 403-412 - [i9]Tong Zeng, Longfeng Wu, Sarah Bratt, Daniel E. Acuna
Assigning credit to scientific datasets using article citation networks. CoRR abs/2001.05917 (2020) - [i8]Ziyue Xiang, Daniel E. Acuna
Scientific Image Tampering Detection Based On Noise Inconsistencies: A Method And Datasets. CoRR abs/2001.07799 (2020) - [i7]Daniel E. Acuna
Estimating a Null Model of Scientific Image Reuse to Support Research Integrity Investigations. CoRR abs/2003.00878 (2020)
2010 – 2019
- 2019
- [c4]Tong Zeng, Alain Shema, Daniel E. Acuna
Dead Science: Most Resources Linked in Biomedical Articles Disappear in Eight Years. iConference 2019: 170-176 - [i6]Titipat Achakulvisut, Chandra Bhagavatula, Daniel E. Acuna
Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning. CoRR abs/1907.00962 (2019) - [i5]Han Zhuang, Daniel E. Acuna
The effect of novelty on the future impact of scientific grants. CoRR abs/1911.02712 (2019) - [i4]Lizhen Liang, Daniel E. Acuna:
Artificial mental phenomena: Psychophysics as a framework to detect perception biases in AI models. CoRR abs/1912.10818 (2019) - 2018
- [i3]Misha Teplitskiy, Daniel E. Acuna, Aida Elamrani-Raoult, Konrad P. Körding, James Evans:
The Social Structure of Consensus in Scientific Review. CoRR abs/1802.01270 (2018) - 2017
- [c3]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: 2929-2935 - 2016
- [i2]Titipat Achakulvisut, Daniel E. Acuna, Tulakan Ruangrong, Konrad P. Körding:
Science Concierge: A fast content-based recommendation system for scientific publications. CoRR abs/1604.01070 (2016) - 2014
- [i1]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 abs/1402.0422 (2014) - 2012
- [j2]Guy Avraham
Toward Perceiving Robots as Humans: Three Handshake Models Face the Turing-Like Handshake Test. IEEE Trans. Haptics 5(3): 196-207 (2012) - 2010
- [j1]Daniel E. Acuña
Structure Learning in Human Sequential Decision-Making. PLoS Comput. Biol. 6(12) (2010)
2000 – 2009
- 2008
- [c2]Daniel E. Acuna, Paul R. Schrater:
Structure Learning in Human Sequential Decision-Making. NIPS 2008: 1-8 - 2005
- [c1]Daniel E. Acuna
Modeling expert players' behavior through data mining. SCCC 2005: 55-61
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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