Tim Andersen

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 8

Top Topics

Probability Estimation

Top Venues

Publications

Caleb Geren, Amanda Board, Gaby G. Dagher, Tim Andersen, Jun Zhuang
Blockchain for Large Language Model Security and Safety: A Holistic Survey. CoRR (2024)
Edgar Navarro, Kyle J. Standing, Gaby G. Dagher, Tim Andersen
Ensuring Trustworthy Neural Network Training via Blockchain. CogMI (2023)
Golam Md Mortuza, Jorge Guerrero, Shoshanna Llewellyn, Michael D. Tobiason, George D. Dickinson, William L. Hughes, Reza Zadegan, Tim Andersen
In-vitro validated methods for encoding digital data in deoxyribonucleic acid (DNA). BMC Bioinform. 24 (1) (2023)
Graham Annett, Tim Andersen, Robert Annett
Challenges of Self-Supervised Learning for Unified, Multi-Modal, Multi-Task Transformer Models. CSCI (2022)
Josh Johnston, Tim Andersen
Random Processes with High Variance Produce Scale Free Networks. CoRR (2022)
Daniel Rouhana, Peyton Lundquist, Tim Andersen, Gaby G. Dagher
MnemoSys: A Conditional Probability Estimation Protocol for Blockchain Audited Reputation Management. TPS-ISA (2022)
Tim Andersen, Amit Jain, Noah Salzman, Don Winiecki, Carl Siebert
The Hatchery: An Agile and Effective Curricular Innovation for Transforming Undergraduate Education. HICSS (2019)
Alark Joshi, Amit Jain, Ernie Covelli, Jyh-haw Yeh, Tim Andersen
A Sustainable Model for High-School Teacher Preparation in Computer Science. FIE (2019)
John Singleton, Eric D. Diller, Tim Andersen, Stéphane Régnier, Metin Sitti
Micro-scale propulsion using multiple flexible artificial flagella. IROS (2011)
Tim Andersen, Richard Newman, Tim Otter
Shape Homeostasis in Virtual Embryos. Artif. Life 15 (2) (2009)
Tim Andersen, Richard Newman, Tim Otter
Development of Virtual Embryos with Emergent Self-Repair. AAAI Fall Symposium: Developmental Systems (2006)
Tim Andersen, Tony R. Martinez
Cross validation and MLP architecture selection. IJCNN (1999)
Tim Andersen, Tony R. Martinez
The little neuron that could. IJCNN (1999)
Dan Ventura, Tim Andersen, Tony R. Martinez
Using Evolutionary Computation to Generate Training Set Data for Neural Networks. ICANNGA (1995)