Paul Koch

20 papers A* 3A 2B 1Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
MVIP - A Dataset and Methods for Application Oriented Multi-View and Multi-Modal Industrial Part Recognition.
CoRR
Paul Koch, Marian Schlüter, Jörg Krüger
2025 J jnl
Vanishing Depth: A Depth Adapter with Positional Depth Encoding for Generalized Image Encoders.
CoRR
Paul Koch, Jörg Krüger, Ankit Chowdhury, Oliver Heimann
2024 — conf
Active Data Collection and Management for Real-World Continual Learning via Pretrained Oracle.
CVPR Workshops
Vivek Chavan, Paul Koch, Marian Schlüter, Clemens Briese, Jörg Krüger
2024 — conf
Image and AIS Data Fusion Technique for Maritime Computer Vision Applications.
WACV (Workshops)
Emre Gülsoylu, Paul Koch, Mert Yildiz, Manfred Constapel, André Peter Kelm
2024 J jnl
Resonating with the World: Thinking Critically about Brain Criticality in Consciousness and Cognition.
Inf.
Gerry Leisman, Paul Koch
2023 J jnl
Considerations when learning additive explanations for black-box models.
Mach. Learn.
Sarah Tan, Giles Hooker, Paul Koch, Albert Gordo, Rich Caruana
2023 — conf
High Resolution 2D-/3D-Scanning and Deep Learning Segmentation for Digitization of Fragmented Wall Paintings.
GCH
Ole Kröger, Oliver Krumpek, Paul Koch, Martin Pape, Jan Schneider, Jörg Krüger
2023 J jnl
Image and AIS Data Fusion Technique for Maritime Computer Vision Applications.
CoRR
Emre Gülsoylu, Paul Koch, Mert Yildiz, Manfred Constapel, André Peter Kelm
2023 A* conf
Towards Realistic Evaluation of Industrial Continual Learning Scenarios with an Emphasis on Energy Consumption and Computational Footprint.
ICCV
Vivek Chavan, Paul Koch, Marian Schlüter, Clemens Briese
2019 A* conf
Axiomatic Interpretability for Multiclass Additive Models.
KDD
Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana
2019 J jnl
InterpretML: A Unified Framework for Machine Learning Interpretability.
CoRR
Harsha Nori, Samuel Jenkins, Paul Koch, Rich Caruana
2018 J jnl
Interpretability is Harder in the Multiclass Setting: Axiomatic Interpretability for Multiclass Additive Models.
CoRR
Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana
2015 — conf
Cortical Activity waves are the physical carriers of memory and thought.
NER
Paul Koch, Gerry Leisman
2015 A* conf
Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission.
KDD
Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, Noemie Elhadad
2013 J jnl
Coordinates: Probabilistic Forecasting of Presence and Availability
CoRR
Eric Horvitz, Paul Koch, Carl Myers Kadie, Andy Jacobs
2007 — conf
Mobile Opportunistic Planning: Methods and Models.
User Modeling
Eric Horvitz, Paul Koch, Muru Subramani
2005 — conf
Bayesphone: Precomputation of Context-Sensitive Policies for Inquiry and Action in Mobile Devices.
User Modeling
Eric Horvitz, Paul Koch, Raman Sarin, Johnson Apacible, Muru Subramani
2004 A conf
BusyBody: creating and fielding personalized models of the cost of interruption.
CSCW
Eric Horvitz, Paul Koch, Johnson Apacible
2002 A conf
Coordinates: Probabilistic Forecasting of Presence and Availability.
UAI
Eric Horvitz, Paul Koch, Carl Myers Kadie, Andy Jacobs
1990 B conf
A continuum model of activity waves in layered neuronal networks: computer models of brain-stem seizures.
CBMS
Paul Koch, Gerald Leisman