most citedInteractive Mars Image Content-Based Search with Interpretable Machine Learning

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DL2026

AAAI-26 Dual Submissions: Novel Challenges

Kiri L. Wagstaff, Joydeep Biswas, Erich Merrill +4

Dual submissions, in which identical or substantially similar papers are simultaneously submitted to one or more archival venues, without cross-citation or disclosure, are a growin…

cs.LG2026

Position: Every Ground Truth is a Human Construction, not an Objective Truth

Charlotte Högberg, Ericka Johnson, Kiri L. Wagstaff

Ground truth datasets play a fundamental role as reference values in the training and evaluation of machine learning models. This position paper argues that ground truths are not n…

cs.CV20262 cited

Interactive Mars Image Content-Based Search with Interpretable Machine Learning

Bhavan Vasu, Steven Lu, Emily Dunkel +3

The NASA Planetary Data System (PDS) hosts millions of images of planets, moons, and other bodies collected throughout many missions. The ever-expanding nature of data and user eng…

cs.CV2026

Realistic Handwritten Multi-Digit Writer (MDW) Number Recognition Challenges

Kiri L. Wagstaff

Isolated digit classification has served as a motivating problem for decades of machine learning research. In real settings, numbers often occur as multiple digits, all written by…

cs.AI20261 cited

AI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot

Joydeep Biswas, Sheila Schoepp, Gautham Vasan +10

Scientific peer review faces mounting strain as submission volumes surge, making it increasingly difficult to sustain review quality, consistency, and timeliness. Recent advances i…