Nathalie Japkowicz

American University — United States

Computer Science · Physical Sciences

46h-index18.0kcitations244works2.12yr avg
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Research Topics

Anomaly Detection Techniques and Applications(64), Imbalanced Data Classification Techniques(61), Data Stream Mining Techniques(32), Machine Learning and Data Classification(31), Network Security and Intrusion Detection(28)

Publications244 total

Do we Still Need People? Comparing Human and LLM Personas in Political Modeling and Simulation
2025
A Parameter-Free Model for the Online Spread of Far-Right Messages: Combining Agent-Based Models with Large-Language Models
Lecture notes in computer science·2025· 1 cited
A Context-Aware Contrastive Learning Framework for Hateful Meme Detection and Segmentation
2025· 1 citedOpen Access
Robust Infidelity: When Faithfulness Measures on Masked Language Models Are Misleading
Lecture notes in computer science·2025
E-Catch: Event-Centric Cross-Modal Attention with Temporal Consistency and Class-Imbalance Handling for Misinformation Detection
SSRN Electronic Journal·2025Open Access
Supervised and unsupervised analysis of feature drift in a new type of detector
2024Open Access
pyCLAD: The universal framework for continual lifelong anomaly detection
SoftwareX·2024· 1 citedOpen Access
Genome-wide investigation of rare germline copy-number variants in retinoblastoma
2024Open Access
Machine Learning Evaluation
Cambridge University Press eBooks·2024· 6 cited
Monitoring The Evolution Of Antisemitic Hate Speech On Extremist Social Media
2024· 1 cited
Can GPT-4 detect subcategories of hatred?
2024· 1 cited
Seeking optimal Human/Machine collaborative practice in antisemitic terminology detection
2024
Coded Term Discovery for Online Hate Speech Detection
2024· 2 cited
HateSieve: A Contrastive Learning Framework for Detecting and Segmenting Hateful Content in Multimodal Memes
arXiv (Cornell University)·2024Open Access
Attention-Based Medical Knowledge Injection in Deep Image Classification Models
2024· 2 cited
Correction to: Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events
Machine Learning·2024Open Access
From MNIST to ImageNet and back: benchmarking continual curriculum learning
Machine Learning·2024· 10 citedOpen Access
Monitoring the evolution of antisemitic discourse on extremist social media using BERT
arXiv (Cornell University)·2024Open Access
Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media
arXiv (Cornell University)·2024· 2 citedOpen Access
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights
IEEE Access·2024· 18 citedOpen Access
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Frequent Co-authors

Colin Bellinger(5), Roberto Corizzo(5), Michelangelo Ceci(4), Adrian Taylor(3), Sylvain Leblanc(3), Shiven Sharma(3), Evangelos Milios(3), Nitesh V. Chawla(2), Andrew Estabrooks(2), Taeho Jo(2), Mohak Shah(2), Mark A. Gluck(2), Benjamin Wang(2), Bartosz Krawczyk(2), Miriam Seoane Santos(2), Pedro Henriques Abreu(2), Alberto Fernández(2), João Santos(2), Osmar R. Zaı̈ane(2), Wangzhong Lu(2)