Colby Ham

Netherlands Forensic Institute — Netherlands

Computer Science · Physical Sciences

4h-index107citations12works2.82yr avg
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Research Topics

Topic Modeling(5), Machine Learning in Healthcare(3), Complex Network Analysis Techniques(2), Forensic and Genetic Research(2), Advanced Graph Neural Networks(2)

Publications12 total

Interpretation of GSR evidence at activity level: Feasible or impossible?
Forensic Science International·2025
Technical note: Proposed method to objectively evaluate gunshot residue comparisons does not generalize to different-location settings
Forensic Science International·2025Open Access
Meeting Global Health Needs via Infectious Disease Forecasting: Development of a Reliable Data-Driven Framework
JMIR Public Health and Surveillance·2024· 1 citedOpen Access
54. PREDICTION OF ANTIPSYCHOTIC-INDUCED METABOLIC ADVERSE EFFECTS USING MULTIMODAL ARTIFICIAL INTELLIGENCE
European Neuropsychopharmacology·2024
High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning
Scientific Reports·2024· 13 citedOpen Access
MediSage: An AI Assistant for Healthcare via Composition of Neural-Symbolic Reasoning Operators
2023· 3 cited
Preparing for the next pandemic via transfer learning from existing diseases with hierarchical multi-modal BERT: a study on COVID-19 outcome prediction
Scientific Reports·2022· 21 citedOpen Access
pnnl/TransMED
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2022Open Access
Preparing For The Next Pandemic: Transfer Learning From Existing Diseases Via Hierarchical Multi-Modal BERT Models to Predict COVID-19 Outcomes
Research Square (Research Square)·2021· 4 citedOpen Access
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks
2021· 60 citedOpen Access
pnnl/SLiCE
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2021Open Access
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks
arXiv (Cornell University)·2020· 5 citedOpen Access

Frequent Co-authors

Khushbu Agarwal(9), Sutanay Choudhury(9), Chandan K. Reddy(5), Suzanne Tamang(5), Ping Wang(3), Sindhu Tipirneni(2), Pritam Mukherjee(2), Matthew Baker(2), Siyi Tang(2), Veysel Kocaman(2), Olivier Gevaert(2), Robert Ralló(2), Sayera Dhaubhadel(2), Ruy M. Ribeiro(2), Nicolas Hengartner(2), Beauty Kolade(2), Patrick D. Finley(2), Ravi Madduri(2), Corina Kukurin(2), Kumkum Ganguly(1)