Daniel E. Acuna

According to our database, Daniel E. Acuna authored at least 34 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., December, 2024

Science Needs You: Mobilizing for Diversity in Award Recognition.

Elizabeth Novoa-Monsalve, David Patterson, Stephanie Ludi, Daniel E. Acuna

Commun. ACM, August, 2024

The impact of heterogeneous shared leadership in scientific teams.

Huimin Xu, Meijun Liu, Yi Bu, Shujing Sun, Yi Zhang, Chenwei Zhang, Daniel E. Acuna, Steven Gray, Eric T. Meyer, Ying Ding

Inf. Process. Manag., January, 2024

Dataset Mention Extraction in Scientific Articles Using Bi-LSTM-CRF Model.

Tong Zeng, Daniel E. Acuna

CoRR, 2024

The complementary contributions of academia and industry to AI research.

Lizhen Liang, Han Zhuang, James Zou, Daniel E. Acuna

CoRR, 2024

Comparative Explanations for Recommendation: Research Directions.

Meysam Varasteh, Elizabeth McKinnie, Amanda Aird, Daniel E. Acuña, Robin Burke

Proceedings of the 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

2023

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., December, 2023

2022

Paraphrase Identification with Deep Learning: A Review of Datasets and Methods.

Chao Zhou, Cheng Qiu, Daniel E. Acuna

CoRR, 2022

Predicting the longevity of resources shared in scientific publications.

Daniel E. Acuna, Jian Jian, Tong Zeng, Lizhen Liang, Han Zhuang

CoRR, 2022

International Workshop on Data-driven Science of Science.

Yi Bu, Meijun Liu, Yujia Zhai, Ying Ding, Feng Xia, Daniel E. Acuña, Yi Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Predicting the Usage of Scientific Datasets Based on Article, Author, Institution, and Journal Bibliometrics.

Daniel E. Acuna, Zijun Yi, Lizhen Liang, Han Zhuang

Proceedings of the Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Virtual Event, February 28, 2022

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

EILEEN: A recommendation system for scientific publications and grants.

Daniel E. Acuna, Zijun Yi, Kartik Nagre, Priya Matnani

CoRR, 2021

A dataset of mentorship in science with semantic and demographic estimations.

Qing Ke, Lizhen Liang, Ying Ding, Stephen V. David, Daniel E. Acuna

CoRR, 2021

Are AI Ethics Conferences Different and More Diverse Compared to Traditional Computer Science Conferences?

Daniel E. Acuna, Lizhen Liang

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models.

Tong Zeng, Daniel E. Acuna

Scientometrics, 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, Drew Harris, Beibin Li, Olivier Pieters, Scott Otterson, Giovanni De Toni, Chris C. Rodgers, Eva L. Dyer, Matti S. Hämäläinen, Konrad P. Körding, Pavan Ramkumar

J. Open Source Softw., 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

Assigning credit to scientific datasets using article citation networks.

Tong Zeng, Longfeng Wu, Sarah Bratt, Daniel E. Acuna

J. Informetrics, 2020

Estimating a Null Model of Scientific Image Reuse to Support Research Integrity Investigations.

Daniel E. Acuna, Ziyue Xiang

CoRR, 2020

Scientific Image Tampering Detection Based On Noise Inconsistencies: A Method And Datasets.

Ziyue Xiang, Daniel E. Acuna

CoRR, 2020

Artificial mental phenomena: psychophysics as a framework to detect perception biases in AI models.

Lizhen Liang, Daniel E. Acuna

Proceedings of the FAT* '20: Conference on Fairness, 2020

GotFunding: A grant recommendation system based on scientific articles.

Tong Zeng, Daniel E. Acuna

Proceedings of the Information for a Sustainable World: Addressing Society's Grand Challenges, 2020

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

Proceedings of the Information for a Sustainable World: Addressing Society's Grand Challenges, 2020

2019

The effect of novelty on the future impact of scientific grants.

Han Zhuang, Daniel E. Acuna

CoRR, 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

Dead Science: Most Resources Linked in Biomedical Articles Disappear in Eight Years.

Tong Zeng, Alain Shema, Daniel E. Acuna

Proceedings of the Information in Contemporary Society - 14th International Conference, 2019

2018

The Social Structure of Consensus in Scientific Review.

Misha Teplitskiy, Daniel E. Acuna, Aida Elamrani-Raoult, Konrad P. Körding, James Evans

CoRR, 2018

2017

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

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

Science Concierge: A fast content-based recommendation system for scientific publications.

Titipat Achakulvisut, Daniel E. Acuna, Tulakan Ruangrong, Konrad P. Körding

CoRR, 2016

2014

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

2012

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

2010

Structure Learning in Human Sequential Decision-Making.

Daniel E. Acuña, Paul R. Schrater

PLoS Comput. Biol., 2010

2005

Modeling expert players' behavior through data mining.

Daniel E. Acuna, Víctor Parada

Proceedings of the XXV International Conference of the Chilean Computer Science Society, 2005