Experience Report: Security Vulnerability Profiles of Mission Critical Software: Empirical Analysis of Security Related Bug Reports. - Katerina Goseva-Popstojanova; Jacob Tyo (ISSRE, 2017)

Identification of Security Related Bug Reports via Text Mining Using Supervised and Unsupervised Classification. - Katerina Goseva-Popstojanova; Jacob Tyo (QRS, 2018)

How Transferable are the Representations Learned by Deep Q Agents? - Jacob Tyo; Zachary C. Lipton (CoRR, 2020)

Siamese Bert for Authorship Verification. - Jacob Tyo; Bhuwan Dhingra; Zachary C. Lipton (CLEF (Working Notes), 2021)

On the State of the Art in Authorship Attribution and Authorship Verification. - Jacob Tyo; Bhuwan Dhingra; Zachary C. Lipton (CoRR, 2022)

Valla: Standardizing and Benchmarking Authorship Attribution and Verification Through Empirical Evaluation and Comparative Analysis. - Jacob Tyo; Bhuwan Dhingra; Zachary C. Lipton (IJCNLP (1), 2023)

Meta-Learning Mini-Batch Risk Functionals. - Jacob Tyo; Zachary C. Lipton (CoRR, 2023)

MUDD: A New Re-Identification Dataset with Efficient Annotation for Off-Road Racers in Extreme Conditions. - Jacob Tyo; Motolani Olarinre; Youngseog Chung; Zachary C. Lipton (CoRR, 2023)

Reading Between the Mud: A Challenging Motorcycle Racer Number Dataset. - Jacob Tyo; Youngseog Chung; Motolani Olarinre; Zachary C. Lipton (CoRR, 2023)

The Future of Web Data Mining: Insights from Multimodal and Code-based Extraction Methods. - Evan Fellman; Jacob Tyo; Zachary C. Lipton (CASE, 2024)

Contrastive Multiple Instance Learning for Weakly Supervised Person ReID. - Jacob Tyo; Zachary C. Lipton (CoRR, 2024)

Beyond the Mud: Datasets and Benchmarks for Computer Vision in Off-Road Racing. - Jacob Tyo; Motolani Olarinre; Youngseog Chung; Zachary C. Lipton (CoRR, 2024)

Learning Models that Match - Jacob Tyo (2024)