Lorien Pratt

1.7k citations
18 papers · 1.1k · h-index 11

Impact in

    • Neural Networks and Applications
    • Domain Adaptation and Few-Shot Learning
    • Machine Learning and Data Classification
    • Machine Learning and Algorithms
    • Machine Learning and ELM
    • Anomaly Detection Techniques and Applications
    • Advanced Neural Network Applications
    • Multimodal Machine Learning Applications

Papers in

Lorien Pratt

17 papers receiving 1.1k citations

Peers

Lorien Pratt
Comparison fields: 5 of 143
  • Artificial Intelligence 696
  • Computer Vision and Pattern Recognition 348
  • Signal Processing 69
  • Computational Mathematics 3
  • Media Technology 42
Replace Stephan K. Chalup with:
Stephan K. Chalup Australia
Pai-Hsuen Chen Taiwan
Timothy Dozat United States
Yilin Yan United States
Misha Denil United Kingdom
Adam Pocock United Kingdom
Vaishak Belle United Kingdom
Jan Svoboda Czechia
Olivier Breuleux Canada
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Citations per field
00.5×1.5×1.8×
Stephan K. Chalup · 1×
Citations per year

Countries citing papers authored by Lorien Pratt

Since Specialization
Citations

This map shows the geographic impact of Lorien Pratt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lorien Pratt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorien Pratt more than expected).

Fields of papers citing papers by Lorien Pratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lorien Pratt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lorien Pratt. The network helps show where Lorien Pratt may publish in the future.

Co-authors

The 9 scholars most cited alongside Lorien Pratt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lorien Pratt Line = papers co-authored together Lorien Pratt links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Comparing Biases for Minimal Network Construction with Back-Propagation
1988314
2 1998292
3
Discriminability-Based Transfer between Neural Networks
1992210
4
Direct transfer of learned information among neural networks
1991111
5 199642
6
Transferring previously learned back-propagation neural networks to new learning tasks
199326
7 199725
8 200224
9 199620
10
Experiments on the transfer of knowledge between neural networks
199415
11 202313
12
Information Measure Based Skeletonisation
19916
13 20196
14 20025
15 20193
16 19942
17 20231
18 20250

About Lorien Pratt

Lorien Pratt is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Strategy and Management, Management Information Systems and Signal Processing, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Speech Recognition and Synthesis (3 papers), Data Visualization and Analytics (2 papers), Face and Expression Recognition (2 papers), Competitive and Knowledge Intelligence (2 papers), Big Data and Business Intelligence (2 papers), Imbalanced Data Classification Techniques (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Artificial Intelligence (696 citations), Computer Vision and Pattern Recognition (348 citations), Signal Processing (69 citations), Computational Mathematics (3 citations) and Media Technology (42 citations). Lorien Pratt has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Sebastian Thrun, Stephen José Hanson, Candace Kamm, Jack Mostow, Barbara Jennings, Thierry Warin, Cranos Williams, Brian Fisher and Michael W. Kudenov. Their work appears in journals such as Forensic Science International, Connection Science, Frontiers in Communication, Futures and Machine Learning.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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