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2. Energy-Efficient Hardware Design for Machine Learning with In-Memory Computing
3. Geometry-Informed Data-Driven Mechanics
4. Machine Learning Methods for Intensive Longitudinal Data and Causal Inference in Multi-Study, Multi-Outcome Settings
5. Molecular and genetic effect of coding variants in human
6. Adaptive and Effective Fuzzing: a Data-Driven Approach
7. Algorithm-Hardware Co-design for Ultra-Low-Power Machine Learning and Neuromorphic Computing
8. A Sparse Learning Approach for Linux Kernel Data Race Prediction
9. Complaint Driven Training Data Debugging for Machine Learning Workflows
10. Deciphering complex diseases by engineered tissues and multimodal data integration
11. "Evaluating the “Road to Reform” for New York City’s Property Tax System: Considerations for Single-Unit Residential Properties and Predictive Modeling as Practice for Local Governance"
12. Faithfulness in Abstractive Summarization: Progress and Challenges
13. From Alfred Schutz to Machine Learning: Temporal Orientation, Meaning and Social Action
14. Integrating Machine Learning and Optimization for Problems in Contextual Decision-Making and Dynamic Learning
15. Interpretable Machine Learning for the Social Sciences: Applications in Political Science and Labor Economics
16. Linking phylogenetic models to population processes, from species trees to genomes
17. Machine Learning Framework for Causal Modeling for Process Fault Diagnosis and Mechanistic Explanation Generation
18. Modeling Nonignorable Missingness with Response Times Using Tree-based Framework in Cognitive Diagnostic Models
19. Neural Decoding Leveraging Motor-Cortex Population Geometry
20. Putting food in context: Embedding-based food recommendations
21. Robust Machine Learning by Integrating Context
22. The Dynamics of Culture in Entrepreneurial Ventures
23. The Fairness Fallacy: Northpointe and the COMPAS Recidivism Prediction Algorithm
24. Towards Causal Reinforcement Learning
25. Understanding the Utility of Social Risk Factors Documented in Clinical Notes to Predict Hospitalization and Emergency Department Visits in Home Healthcare
26. Weak lensing cosmology and its astrophysical systematics through machine learning
27. Analysis of Conformational Continuum and Free-energy Landscapes from Manifold Embedding of Single-particle Cryo-EM Ensembles of Biomolecules
28. Applying Anomaly Detection to Search for New Physics with the ATLAS Detector at the Large Hadron Collider
29. Automated machine learning to evaluate the information content of tropospheric trace gas columns for fine particle estimates over India: a modeling testbed
30. Detection, Triage, and Attribution of PII Phishing Sites
31. Efficient Machine Teaching Frameworks for Natural Language Processing
32. Efficient Neural Network Verification Using Branch and Bound
33. Florence Hudson: CIC-E: COVID Information Commons Extensión para la Recuperación Pandémica
34. Florence Hudson: CIC-E: COVID Information Commons Extension for Pandemic Recovery
35. Genealogies of Machine Learning, 1950-1995
36. Ilya Goldberg: Machine Learning for Early Detection of COVID-19 Plaques in Cells
37. Interpretable prediction of necrotizing enterocolitis from machine learning analysis of premature infant stool microbiota
38. Jennifer Cromley: Entender el bienestar de los estudiantes de ingeniería de posgrado para la predicción de la retención
39. Machine learning classifies ferroptosis and apoptosis cell death modalities with TfR1 immunostaining
40. Optically-Enabled High Performance Reconfigurable Interconnection Networks
41. Privacy-Aware Data Analysis: Recent Developments for Statistics and Machine Learning
42. Pumice Raft Detection Using Machine-Learning on Multispectral Satellite Imagery
43. Resource-Efficient Methods in Machine Learning
44. Scalable Tools for Information Extraction and Causal Modeling of Neural Data
45. Signal Processing and Machine Learning Methods for Internet of Things: Smart Energy Generation and Robust Indoor Localization
46. A Computational Perspective of Causal Inference and the Data Fusion Problem
47. A Mathematical Study of Learning Dynamics
48. Applications of Machine Learning to Single-Molecule Junction Studies
49. A robust and stable gene selection algorithm based on graph theory and machine learning
50. Autogenerative Networks
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