d-rhum. - Daniel Schwartz (SIGGRAPH Visual Proceedings, 1996)

Knowledge Engineering for Very Large Decision-analytic Medical Models. - Marek J. Druzdzel; Agnieszka Onisko; Daniel Schwartz; John N. Dowling; Hanna Wasyluk (AMIA, 1999)

Improving Risk Grouping Rules for Prostate Cancer Patients Using Self-Organizing Maps. - Daniel Schwartz; Kate A. Smith; Leonid Churilov; Michael Dally; Richard Weber 002 (HIS, 2003)

Improving Risk Grouping Rules for Prostate Cancer Patients with Optimization. - Leonid Churilov; Adil M. Bagirov; Daniel Schwartz; Kate A. Smith; Michael Dally (HICSS, 2004)

Interactivity and Learning. - Daniel Schwartz (AIED, 2005)

Data Mining with Combined Use of Optimization Techniques and Self-Organizing Maps for Improving Risk Grouping Rules: Application to Prostate Cancer Patients. - Leonid Churilov; Adil M. Bagirov; Daniel Schwartz; Kate A. Smith; Michael Dally (J. Manag. Inf. Syst., 2005)

Integrating user experience into free/libre open source software: CHI 2009 special interest group. - Daniel Schwartz; Allen Gunn (CHI Extended Abstracts, 2009)

Invited: "Going viral" with biological sequence analysis. - Daniel Schwartz (ICCABS, 2011)

Multi-mode cellular transceivers for LTE and LTE-Advanced. - Patrick Rakers; Mohammed Alam; David Newman; Kurt Hausmann; Daniel Schwartz; Mahib Rahman; Mark Kirschenmann (CICC, 2014)

Fusion Learning on Multiple-Tag RFID Measurements for Respiratory Rate Monitoring. - Stephen Hansen; Daniel Schwartz; Jesse Stover; Md Abu Saleh Tajin; William M. Mongan; Kapil R. Dandekar (BIBE, 2020)

Learning Spiking Neural Network Models of Drosophila Olfaction. - John Carter; Jocelyn Rego; Daniel Schwartz; Vikas Bhandawat; Edward Kim 006 (ICONS, 2020)

Regularization and Sparsity for Adversarial Robustness and Stable Attribution. - Daniel Schwartz; Yigit Alparslan; Edward Kim 006 (ISVC (1), 2020)

Challenges of Securing and Defending Unmanned Aerial Vehicles. - William Goble; Elizabeth Braddy; Mike Burmester; Daniel Schwartz; Ryan Sloan; Demetra Drizis; Nitish Ahir; Melissa Ma; Matthew J. Bays; Matt Chastain (NCS, 2020)

A fast algorithm to delineate watershed boundaries for simple geometries. - Scott Haag; Daniel Schwartz; Bahareh Shakibajahromi; Michael Campagna; Ali Shokoufandeh (Environ. Model. Softw., 2020)

HyNet: 3D Segmentation Using Hybrid Graph Networks. - Bahareh Shakibajahromi; Saeed Shayestehmanesh; Daniel Schwartz; Ali Shokoufandeh (3DV, 2021)

Deployment of Embedded Edge-AI for Wildlife Monitoring in Remote Regions. - Daniel Schwartz; Jonathan Michael Gomes Selman; Peter H. Wrege; Andreas Paepcke (ICMLA, 2021)

Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems. - Yigit Alparslan; Ethan Jacob Moyer; Isamu Mclean Isozaki; Daniel Schwartz; Adam Dunlop; Shesh Dave; Edward Kim 006 (IJCNN, 2021)

Are non-contingent incentives more effective in motivating new behavior? Evidence from the field. - Angélica Córdova; Alex Imas; Daniel Schwartz (Games Econ. Behav., 2021)

D2FO: Distributed Dynamic Offloading Mechanism for Time-Sensitive Tasks in Fog-Cloud IoT-based Systems. - Ismail Ataie; Tania Taami; Sadoon Azizi; Md Mainuddin; Daniel Schwartz (IPCCC, 2022)

Linguistic Approach to Segmenting Source Code. - Aviel J. Stein; Daniel Schwartz; Yiwen Shi; Spiros Mancoridis (ICSC, 2022)

EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting. - Ethan Jacob Moyer; Alisha Isabelle Augustin; Satvik Tripathi; Ansh Aashish Dholakia; Andy Nguyen; Isamu Mclean Isozaki; Daniel Schwartz; Edward Kim 006 (CoRR, 2022)

Identifying Food Labeling Effects on Consumer Behavior. - Sebastián Araya; Andrés Elberg; Carlos Noton; Daniel Schwartz (Mark. Sci., 2022)

Using Multitask Learning to Understand Language Processing in the Brain - Daniel Schwartz (2022)

Efficient Combinatorial Alignment for Improved Graph Generation Using GraphVAEs. - Daniel Schwartz; Yusuf Osmanlioglu; Dmitriy Bespalov; Ali Shokoufandeh (ICPR (Workshops and Challenges, 3), 2024)

A Minimal Neural Network for Reproducible Gesture Recognition on Knitted Capacitive Touch Sensors. - Daniel Schwartz; Dario D. Salvucci; Yusuf Osmanlioglu; Richard Vallett; Liam Ostrander; Geneviève Dion; Ali Shokoufandeh (RRPR, 2024)

Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt Generation for Enhanced LLM Content Moderation. - Daniel Schwartz; Dmitriy Bespalov; Zhe Wang; Ninad Kulkarni; Yanjun Qi (CoRR, 2025)

Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency. - Aman Goel; Daniel Schwartz; Yanjun Qi (CoRR, 2025)