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Boosting Causal Additive Models
Published in
JMLR
(2026)
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Boosting Causal Additive Models
Published in
JMLR
(2026)
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Global Renewable Energy Consumption Forecasting: A Comparative Benchmarking Study of Statistical, Machine
Learning
, and Deep
Learning
Models
Published in
Computer Engineering and Intelligent Systems
(2026)
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Comparative analysis of machine
learning
and novel deep
learning
models
for IoT enabled smart irrigation water management system
Published in
Discover Internet of Things
(2026)
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Inquiry-based
learning
patterns in large language
model
-driven
learning
environments: An exploratory study from Bloom’s perspective
Published in
Australasian Journal of Educational Technology
(2026)
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5E Instructional Design Model
Published in
International Journal of Educational Technology
(2024)
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Cascaded Diffusion Models for High Fidelity Image Generation
Published in
Journal of Machine Learning Research
(2026)
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Fast and Robust Rank Aggregation against Model Misspecification
Published in
Journal of Machine Learning Research
(2026)
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Scaling Data-Constrained Language Models
Published in
JMLR
(2026)
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Scaling Data-Constrained Language Models
Published in
JMLR
(2026)
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Scaling Data-Constrained Language Models
Published in
JMLR
(2026)
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An interpretable deep
learning
framework for predictive
modeling
of postoperative infections in ICU patients
Published in
PLOS ONE
(2026)
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Sentiment-Aware Summary Generation for User Reviews Using Deep
Learning
Models
Published in
VFAST Transactions on Software Engineering
(2025)
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Urban Flood Prediction
Model
Based on Explainable Deep
Learning
and Attention Mechanism
Published in
International Journal of Disaster Risk Science
(2026)
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Machine
Learning
Models
for Detecting Hidden Collusion Networks in U.S. Corporate Finance
Published in
Journal of Economics, Finance and Accounting Studies
(2024)
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Bridging Prediction and Profit: Deep
Learning
models
with Trading Evaluation for FTSE 100
Published in
Journal of Economics, Finance and Accounting Studies
(2026)
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Project-Based
Learning
with ODEs:
Modeling
Straw Rocket Motion with Air Resistance
Published in
CODEE Journal
(2025)
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Predictive
modeling
of annual carbon emissions using ensemble and deep
learning
approaches
Published in
International Journal of Low-Carbon Technologies
(2026)
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STL‐Decomposition Functional Deep
Learning
Ensemble
Models
for Hydro Power Forecasting
Published in
IET Renewable Power Generation
(2026)
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Beyond incrementalism: A regenerative
learning
model
for sustainable marketing and service ecosystems
Published in
AMS Review
(2025)
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