Nathalie Japkowicz

215 papers A* 10A 2B 29C 9Misc 7Journal 72Unranked 73

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part I ECML/PKDD (1) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part II ECML/PKDD (2) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part III ECML/PKDD (3) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IV ECML/PKDD (4) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part V ECML/PKDD (5) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VI ECML/PKDD (6) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VII ECML/PKDD (7) Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VIII ECML/PKDD (8) Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Rita P. Ribeiro, Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	A*	`conf`	SoftHateBench: Evaluating Moderation Models Against Reasoning-Driven, Policy-Compliant Hostility. WWW Xuanyu Su, Diana Inkpen, Nathalie Japkowicz
2026	J	`jnl`	SoftHateBench: Evaluating Moderation Models Against Reasoning-Driven, Policy-Compliant Hostility. CoRR Xuanyu Su, Diana Inkpen, Nathalie Japkowicz
2025	—	`conf`	A Context-Aware Contrastive Learning Framework for Hateful Meme Detection and Segmentation. NAACL (Findings) Xuanyu Su, Yansong Li, Diana Inkpen, Nathalie Japkowicz
2025	—	`conf`	A Parameter-Free Model for the Online Spread of Far-Right Messages: Combining Agent-Based Models with Large-Language Models. ICCS (Workshops 2) Stephen Zhong, Nathalie Japkowicz, Frédéric Amblard, Philippe J. Giabbanelli
2025	J	`jnl`	Analyzing Islamophobic Discourse Using Semi-Coded Terms and LLMs. CoRR Raza Ul Mustafa, Roi Dupart, Gabrielle Smith, Noman Ashraf, Nathalie Japkowicz
2025	—	`conf`	Do we Still Need People? Comparing Human and LLM Personas in Political Modeling and Simulation. MODELS-C Stephen Zhong, Nathalie Japkowicz, Philippe J. Giabbanelli
2025	J	`jnl`	E-CaTCH: Event-Centric Cross-Modal Attention with Temporal Consistency and Class-Imbalance Handling for Misinformation Detection. CoRR Ahmad Mousavi, Yeganeh Abdollahinejad, Roberto Corizzo, Nathalie Japkowicz, Zois Boukouvalas
2025	—	`conf`	Emergent Racist Terminology Discovery. ICDM (Workshops) Venkata Dhanush Kikkisetti, Suneela Maddineni, Patrick Y. Wu, Nathalie Japkowicz
2025	J	`jnl`	pyCLAD: The universal framework for continual lifelong anomaly detection. SoftwareX Kamil Faber, Bartlomiej Sniezynski, Nathalie Japkowicz, Roberto Corizzo
2024	B	`conf`	Attention-Based Medical Knowledge Injection in Deep Image Classification Models. IJCNN Yaning Wu, Nathalie Japkowicz, Sébastien Gilbert, Roberto Corizzo
2024	B	`conf`	Coded Term Discovery for Online Hate Speech Detection. DSAA Dhanush Kikkisetti, Raza Ul-Mustafa, Wendy Melillo, Roberto Corizzo, Zois Boukouvalas, Jeff Gill, Nathalie Japkowicz
2024	J	`jnl`	Correction to: Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events. Mach. Learn. Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Nathalie Japkowicz, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas
2024	J	`jnl`	Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events. Mach. Learn. Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Nathalie Japkowicz, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas
2024	J	`jnl`	From MNIST to ImageNet and back: benchmarking continual curriculum learning. Mach. Learn. Kamil Faber, Dominik Zurek, Marcin Pietron, Nathalie Japkowicz, Antonio Vergari, Roberto Corizzo
2024	J	`jnl`	HateSieve: A Contrastive Learning Framework for Detecting and Segmenting Hateful Content in Multimodal Memes. CoRR Xuanyu Su, Yansong Li, Diana Inkpen, Nathalie Japkowicz
2024	J	`jnl`	Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights. IEEE Access Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz
2024	J	`jnl`	Monitoring the evolution of antisemitic discourse on extremist social media using BERT. CoRR Raza Ul-Mustafa, Nathalie Japkowicz
2024	—	`conf`	Robust Infidelity: When Faithfulness Measures on Masked Language Models Are Misleading. LOD (1) Evan Crothers, Herna L. Viktor, Nathalie Japkowicz
2024	J	`jnl`	SeGDroid: An Android malware detection method based on sensitive function call graph learning. Expert Syst. Appl. Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Heitor Murilo Gomes, Bitao Peng, Wenbin Zhang
2024	J	`jnl`	The class imbalance problem in deep learning. Mach. Learn. Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Paula Branco, Bartosz Krawczyk, Nathalie Japkowicz
2024	J	`jnl`	Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media. CoRR Dhanush Kikkisetti, Raza Ul-Mustafa, Wendy Melillo, Roberto Corizzo, Zois Boukouvalas, Jeff Gill, Nathalie Japkowicz
2023	J	`jnl`	A Semi-Supervised Framework for Misinformation Detection. CoRR Yueyang Liu, Zois Boukouvalas, Nathalie Japkowicz
2023	J	`jnl`	A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research. Inf. Fusion Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, João A. M. Santos
2023	J	`jnl`	Faithful to Whom? Questioning Interpretability Measures in NLP. CoRR Evan Crothers, Herna L. Viktor, Nathalie Japkowicz
2023	—	`ed.`	Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 18 September 2023, LIDTA@ECML-PKDD, Turin, Italy. LIDTA Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2023	B	`conf`	Fine-tuned generative LLM oversampling can improve performance over traditional techniques on multiclass imbalanced text classification. IEEE Big Data Nicolas Antonio Cloutier, Nathalie Japkowicz
2023	J	`jnl`	From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning. CoRR Kamil Faber, Dominik Zurek, Marcin Pietron, Nathalie Japkowicz, Antonio Vergari, Roberto Corizzo
2023	J	`jnl`	HURI: Hybrid user risk identification in social networks. World Wide Web (WWW) Roberto Corizzo, Gianvito Pio, Emanuele Pio Barracchia, Antonio Pellicani, Nathalie Japkowicz, Michelangelo Ceci
2023	J	`jnl`	In BLOOM: Creativity and Affinity in Artificial Lyrics and Art. CoRR Evan Crothers, Herna L. Viktor, Nathalie Japkowicz
2023	J	`jnl`	Lifelong Learning for Anomaly Detection: New Challenges, Perspectives, and Insights. CoRR Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz
2023	J	`jnl`	Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods. IEEE Access Evan Crothers, Nathalie Japkowicz, Herna L. Viktor
2023	J	`jnl`	Nondestructive chicken egg fertility detection using CNN-transfer learning algorithms. CoRR Shoffan Saifullah, Rafal Drezewski, Anton Yudhana, Andri Pranolo, Wilis Kaswijanti, Andiko Putro Suryotomo, Seno Aji Putra, Alin Khaliduzzaman, Anton Satria Prabuwono, Nathalie Japkowicz
2023	—	`conf`	Performance Estimation bias in Class Imbalance with Minority Subconcepts. LIDTA Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz
2023	J	`jnl`	VLAD: Task-agnostic VAE-based lifelong anomaly detection. Neural Networks Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz
2022	A*	`conf`	4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. KDD Roberto Corizzo, Junfeng Ge, Colin Bellinger, Xiaoqiang Zhu, Paula Branco, Kuang-Chih Lee, Nathalie Japkowicz, Ruiming Tang, Tao Zhuang, Han Zhu, Biye Jiang, Jiaxin Mao, Weinan Zhang
2022	—	`conf`	4th Workshop on Learning with Imbalanced Domains: Preface. LIDTA Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2022	B	`conf`	Active Lifelong Anomaly Detection with Experience Replay. DSAA Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz
2022	B	`conf`	Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. IJCNN Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco
2022	J	`jnl`	Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. CoRR Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco
2022	J	`jnl`	CPDGA: Change point driven growing auto-encoder for lifelong anomaly detection. Knowl. Based Syst. Roberto Corizzo, Michael Baron, Nathalie Japkowicz
2022	B	`conf`	Efficient Multivariate Data Fusion for Misinformation Detection During High Impact Events. DS Lucas P. Damasceno, Allison Shafer, Nathalie Japkowicz, Charles C. Cavalcante, Zois Boukouvalas
2022	—	`ed.`	Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2022, Grenoble, France, September 23, 2022 LIDTA Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2022	B	`conf`	LIFEWATCH: Lifelong Wasserstein Change Point Detection. IJCNN Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz
2022	B	`conf`	LSTM-based Pulmonary Air Leak Forecasting for Chest Tube Management. IEEE Big Data Roberto Corizzo, Rodrigo Yepez-Lopez, Sébastien Gilbert, Nathalie Japkowicz
2022	J	`jnl`	Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods. CoRR Evan Crothers, Nathalie Japkowicz, Herna L. Viktor
2022	B	`conf`	Machine Learning for Surgical Risk Assessment Decision Systems. IJCNN Myles Russell, Dylan Russell, Roberto Corizzo, Nathalie Japkowicz
2022	—	`conf`	Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo
2022	J	`jnl`	On the joint-effect of class imbalance and overlap: a critical review. Artif. Intell. Rev. Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, Carlos Soares, Szymon Wilk, João A. M. Santos
2022	—	`conf`	System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan
2022	J	`jnl`	System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan
2022	J	`jnl`	The validation of chest tube management after lung resection surgery using a random forest classifier. Int. J. Data Sci. Anal. William Klement, Sébastien Gilbert, Virginia F. Resende, Donna E. Maziak, Andrew J. E. Seely, Farid M. Shamji, Sudhir R. Sundaresan, Patrick J. Villeneuve, Nathalie Japkowicz
2022	J	`jnl`	WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data. CoRR Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz
2021	—	`conf`	3rd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2021	B	`conf`	A Semi-supervised Framework for Misinformation Detection. DS Yueyang Liu, Zois Boukouvalas, Nathalie Japkowicz
2021	B	`conf`	Calibrated Resampling for Imbalanced and Long-Tails in Deep Learning. DS Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz
2021	—	`conf`	Explainable image analysis for decision support in medical healthcare. IEEE BigData Roberto Corizzo, Yohan Dauphin, Colin Bellinger, Eftim Zdravevski, Nathalie Japkowicz
2021	—	`conf`	Mean User-Text Agglomeration (MUTA): Practical User Representation and Visualization for Detection of Online Influence Operations. CSoNet Evan Crothers, Herna L. Viktor, Nathalie Japkowicz
2021	—	`conf`	On the combined effect of class imbalance and concept complexity in deep learning. IEEE BigData Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Bartosz Krawczyk, Nathalie Japkowicz
2021	J	`jnl`	On the combined effect of class imbalance and concept complexity in deep learning. CoRR Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Bartosz Krawczyk, Nathalie Japkowicz
2021	J	`jnl`	Research on unsupervised feature learning for Android malware detection based on Restricted Boltzmann Machines. Future Gener. Comput. Syst. Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Deyu Tang, Wenbin Zhang, Jie Zhao
2021	B	`conf`	Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. DS Roberto Corizzo, Michelangelo Ceci, Gianvito Pio, Paolo Mignone, Nathalie Japkowicz
2021	B	`conf`	The Case for Latent Variable Vs Deep Learning Methods in Misinformation Detection: An Application to COVID-19. DS Caitlin Moroney, Evan Crothers, Sudip Mittal, Anupam Joshi, Tülay Adali, Christine Mallinson, Nathalie Japkowicz, Zois Boukouvalas
2021	—	`ed.`	Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2021, Bilbao, Spain, September 17, 2021 LIDTA@ECML/PKDD Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2021	B	`conf`	Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification. IJCNN Bartosz Krawczyk, Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz
2021	—	`conf`	WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data. IEEE BigData Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz
2020	—	`conf`	A Cost Skew Aware Predictive System for Chest Drain Management. Canadian AI Nicholas J. Denis, Danny French, Sébastien Gilbert, Nathalie Japkowicz
2020	J	`jnl`	A statistical pattern based feature extraction method on system call traces for anomaly detection. Inf. Softw. Technol. Zhen Liu, Nathalie Japkowicz, Ruoyu Wang, Yongming Cai, Deyu Tang, Xianfa Cai
2020	J	`jnl`	A sub-concept-based feature selection method for one-class classification. Soft Comput. Zhen Liu, Nathalie Japkowicz, Ruoyu Wang, Li Liu
2020	B	`conf`	Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables. ICPR Liming Zhang, Wenbin Zhang, Nathalie Japkowicz
2020	J	`jnl`	ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids. IEEE Access Michelangelo Ceci, Roberto Corizzo, Nathalie Japkowicz, Paolo Mignone, Gianvito Pio
2020	J	`jnl`	Framework for extreme imbalance classification: SWIM - sampling with the majority class. Knowl. Inf. Syst. Colin Bellinger, Shiven Sharma, Nathalie Japkowicz, Osmar R. Zaïane
2020	J	`jnl`	Guest Editorial Special Issue on Recent Advances in Theory, Methodology, and Applications of Imbalanced Learning. IEEE Trans. Neural Networks Learn. Syst. Jing-Hao Xue, Zhanyu Ma, Manuel Roveri, Nathalie Japkowicz
2020	J	`jnl`	Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19. CoRR Zois Boukouvalas, Christine Mallinson, Evan Crothers, Nathalie Japkowicz, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tülay Adali
2020	B	`conf`	One-Class Ensembles for Rare Genomic Sequences Identification. DS Jonathan Kaufmann, Kathryn Asalone, Roberto Corizzo, Colin Saldanha, John R. Bracht, Nathalie Japkowicz
2020	J	`jnl`	ReMix: Calibrated Resampling for Class Imbalance in Deep learning. CoRR Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz
2020	J	`jnl`	Scalable auto-encoders for gravitational waves detection from time series data. Expert Syst. Appl. Roberto Corizzo, Michelangelo Ceci, Eftim Zdravevski, Nathalie Japkowicz
2020	Misc	`conf`	Subconcept Based One Class Classification Method with Cluster Updating. ICMLC Zhen Liu, Nathalie Japkowicz, Ruoyu Wang
2019	J	`jnl`	Adaptive learning on mobile network traffic data. Connect. Sci. Zhen Liu, Nathalie Japkowicz, Ruoyu Wang, Deyu Tang
2019	J	`jnl`	Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data. Big Data Res. Roberto Corizzo, Michelangelo Ceci, Nathalie Japkowicz
2019	B	`conf`	Chest Tube Management After Lung Resection Surgery using a Classifier. DSAA William Klement, Sébastien Gilbert, Donna E. Maziak, Andrew J. E. Seely, Farid M. Shamji, Sudhir R. Sundaresan, Patrick J. Villeneuve, Nathalie Japkowicz
2019	J	`jnl`	Contextual One-Class Classification in Data Streams. CoRR Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz, João Gama
2019	C	`conf`	Deep Learning Versus Conventional Learning in Data Streams with Concept Drifts. ICMLA Sid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz
2019	—	`conf`	Learning with Drift Detection based on k Time Sub-concept Windows. ICCE-TW Li Liu, Nathalie Japkowicz, Dan Tao, Zhen Liu
2019	J	`jnl`	Mobile app traffic flow feature extraction and selection for improving classification robustness. J. Netw. Comput. Appl. Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Yongming Cai, Deyu Tang, Xianfa Cai
2019	C	`conf`	Pattern and Anomaly Localization in Complex and Dynamic Data. ICMLA Sid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz
2019	J	`jnl`	Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets. Inf. Sci. Ameya Malondkar, Roberto Corizzo, Iluju Kiringa, Michelangelo Ceci, Nathalie Japkowicz
2019	—	`conf`	Towards Ethical Content-Based Detection Of Online Influence Campaigns. MLSP Evan Crothers, Nathalie Japkowicz, Herna L. Viktor
2019	J	`jnl`	Towards Ethical Content-Based Detection of Online Influence Campaigns. CoRR Evan Crothers, Nathalie Japkowicz, Herna L. Viktor
2018	—	`conf`	2nd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD Luís Torgo, Stan Matwin, Nathalie Japkowicz, Bartosz Krawczyk, Nuno Moniz, Paula Branco
2018	B	`conf`	Adaptive Threshold for Outlier Detection on Data Streams. DSAA James Clark, Zhen Liu, Nathalie Japkowicz
2018	J	`jnl`	Anomaly behaviour detection based on the meta-Morisita index for large scale spatio-temporal data set. J. Big Data Zhao Yang, Nathalie Japkowicz
2018	—	`conf`	Clustering in the Presence of Concept Drift. ECML/PKDD (1) Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz, João Gama
2018	C	`ed.`	Foundations of Intelligent Systems - 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings ISMIS Michelangelo Ceci, Nathalie Japkowicz, Jiming Liu, George A. Papadopoulos, Zbigniew W. Ras
2018	J	`jnl`	Fuzzy String Matching with a Deep Neural Network. Appl. Artif. Intell. Daniel Shapiro, Nathalie Japkowicz, Mathieu Lemay, Miodrag Bolic
2018	J	`jnl`	Introduction to the Special Issue on Data Mining for Cybersecurity. IEEE Intell. Syst. Nathalie Japkowicz, Yuval Elovici
2018	J	`jnl`	Learning over subconcepts: Strategies for 1-class classification. Comput. Intell. Shiven Sharma, Anil Somayaji, Nathalie Japkowicz
2018	J	`jnl`	Manifold-based synthetic oversampling with manifold conformance estimation. Mach. Learn. Colin Bellinger, Christopher Drummond, Nathalie Japkowicz
2018	J	`jnl`	One-class classification - From theory to practice: A case-study in radioactive threat detection. Expert Syst. Appl. Colin Bellinger, Shiven Sharma, Nathalie Japkowicz
2018	J	`jnl`	Probing the Limits of Anomaly Detectors for Automobiles with a Cyberattack Framework. IEEE Intell. Syst. Adrian Taylor, Sylvain P. Leblanc, Nathalie Japkowicz
2018	A*	`conf`	Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance. ICDM Shiven Sharma, Colin Bellinger, Bartosz Krawczyk, Osmar R. Zaïane, Nathalie Japkowicz
2018	J	`jnl`	Threaded ensembles of autoencoders for stream learning. Comput. Intell. Yue Dong, Nathalie Japkowicz
2017	—	`conf`	Homography Estimation from Image Pairs with Hierarchical Convolutional Networks. ICCV Workshops Nathalie Japkowicz, Farzan Erlik Nowruzi, Robert Laganière
2017	—	`conf`	Improving Active Learning for One-Class Classification Using Dimensionality Reduction. Canadian AI Mohsen Ghazel, Nathalie Japkowicz
2017	—	`conf`	Meta-Morisita Index: Anomaly Behaviour Detection for Large Scale Tracking Data with Spatio-Temporal Marks. ICDM Workshops Zhao Yang, Nathalie Japkowicz
2017	—	`conf`	Sampling a Longer Life: Binary versus One-class classification Revisited. LIDTA@PKDD/ECML Colin Bellinger, Shiven Sharma, Osmar R. Zaïane, Nathalie Japkowicz
2017	J	`jnl`	Special issue on discovery science. Mach. Learn. Nathalie Japkowicz, Stan Matwin
2016	B	`conf`	Anomaly Detection in Automobile Control Network Data with Long Short-Term Memory Networks. DSAA Adrian Taylor, Sylvain P. Leblanc, Nathalie Japkowicz
2016	—	`conf`	Beyond the Boundaries of SMOTE - A Framework for Manifold-Based Synthetically Oversampling. ECML/PKDD (1) Colin Bellinger, Christopher Drummond, Nathalie Japkowicz
2016	—	`conf`	Threaded Ensembles of Supervised and Unsupervised Neural Networks for Stream Learning. Canadian AI Yue Dong, Nathalie Japkowicz
2015	C	`conf`	Active Learning for One-Class Classification. ICMLA Vincent Barnabe-Lortie, Colin Bellinger, Nathalie Japkowicz
2015	B	`ed.`	Discovery Science - 18th International Conference, DS 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings Discovery Science Nathalie Japkowicz, Stan Matwin
2015	—	`conf`	Frequency-based anomaly detection for the automotive CAN bus. WCICSS Adrian Taylor, Nathalie Japkowicz, Sylvain P. Leblanc
2015	J	`jnl`	Gene selection for the reconstruction of stem cell differentiation trees: a linear programming approach. Bioinform. Mohamed A. Ghadie, Nathalie Japkowicz, Theodore J. Perkins
2015	J	`jnl`	Meta-MapReduce for scalable data mining. J. Big Data Xuan Liu, Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz
2015	B	`conf`	Multi-class learning using data driven ECOC with deep search and re-balancing. DSAA Nathalie Japkowicz, Vincent Barnabe-Lortie, Shawn Horvatic, Jie Zhou
2015	C	`conf`	Multi-label Classification of Anemia Patients. ICMLA Colin Bellinger, Ali Amid, Nathalie Japkowicz, Herna L. Viktor
2015	C	`conf`	Synthetic Oversampling for Advanced Radioactive Threat Detection. ICMLA Colin Bellinger, Nathalie Japkowicz, Christopher Drummond
2014	—	`conf`	A multi-view two-level classification method for generalized multi-instance problems. IEEE BigData Xiaoguang Wang, Xuan Liu, Stan Matwin, Nathalie Japkowicz, Hongyu Guo
2014	—	`conf`	Applying instance-weighted support vector machines to class imbalanced datasets. IEEE BigData Xiaoguang Wang, Xuan Liu, Stan Matwin, Nathalie Japkowicz
2014	J	`jnl`	Automated Approach To Classification Of Mine-Like Objects Using Multiple-Aspect Sonar Images. J. Artif. Intell. Soft Comput. Res. Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin
2014	B	`conf`	Automatic Target Recognition using multiple-aspect sonar images. IEEE Congress on Evolutionary Computation Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin, Bao Nguyen
2014	—	`conf`	Ensemble of Multiple Kernel SVM Classifiers. Canadian AI Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin
2014	B	`conf`	Explicit feature mapping via multi-layer perceptron and its application to Mine-Like Objects detection. IJCNN Hang Shao, Nathalie Japkowicz
2014	—	`conf`	Smoothing gamma ray spectra to improve outlier detection. CISDA Vincent Barnabe-Lortie, Colin Bellinger, Nathalie Japkowicz
2014	B	`conf`	Vessel track correlation and association using fuzzy logic and Echo State Networks. IEEE Congress on Evolutionary Computation Hang Shao, Nathalie Japkowicz, Rami S. Abielmona, Rafael Falcon
2013	—	`conf`	An Ensemble Method Based on AdaBoost and Meta-Learning. Canadian AI Xuan Liu, Xiaoguang Wang, Nathalie Japkowicz, Stan Matwin
2013	—	`conf`	Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets. Canadian AI Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz, Xuan Liu
2013	—	`conf`	Inner Ensembles: Using Ensemble Methods Inside the Learning Algorithm. ECML/PKDD (3) Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin
2013	—	`conf`	Meta-learning for large scale machine learning with MapReduce. IEEE BigData Xuan Liu, Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz
2013	A	`conf`	On the Benefits (or Not) of a Clustering Algorithm in Student Tracking. AIED Reva Freedman, Nathalie Japkowicz
2013	—	`conf`	Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning. ICDM Workshops Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin
2012	—	`conf`	Anomaly Detection via Coupled Gaussian Kernels. Canadian AI Guichong Li, Nathalie Japkowicz, Lian Yang
2012	—	`conf`	Anomaly detection in gamma ray spectra: A machine learning perspective. CISDA Shiven Sharma, Colin Bellinger, Nathalie Japkowicz, Rodney Berg, R. Kurt Ungar
2012	—	`conf`	Applying Least Angle Regression to ELM. Canadian AI Hang Shao, Nathalie Japkowicz
2012	—	`conf`	Clustering Based One-Class Classification for Compliance Verification of the Comprehensive Nuclear-Test-Ban Treaty. Canadian AI Shiven Sharma, Colin Bellinger, Nathalie Japkowicz
2012	—	`conf`	Mining the Hidden Structure of Inductive Learning Data Sets. Canadian AI Nathalie Japkowicz
2012	—	`conf`	One-Class versus Binary Classification: Which and When? ICMLA (2) Colin Bellinger, Shiven Sharma, Nathalie Japkowicz
2012	—	`conf`	Sampling Online Social Networks Using Coupling from the Past. ICDM Workshops Kenton White, Guichong Li, Nathalie Japkowicz
2012	—	`conf`	The PerfSim Algorithm for Concept Drift Detection in Imbalanced Data. ICDM Workshops Daniel K. Antwi, Herna L. Viktor, Nathalie Japkowicz
2012	—	`conf`	Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection. ICMLA (2) Xiaoguang Wang, Hang Shao, Nathalie Japkowicz, Stan Matwin, Xuan Liu, Alex Bourque, Bao Nguyen
2011	—	`conf`	Compact Features for Sentiment Analysis. Canadian AI Lisa Gaudette, Nathalie Japkowicz
2011	—	`book`	Evaluating Learning Algorithms: A Classification Perspective Nathalie Japkowicz, Mohak Shah
2011	—	`conf`	Motivating the inclusion of meteorological indicators in the CTBT feature-space. CISDA Colin Bellinger, Nathalie Japkowicz
2011	—	`conf`	Smooth Receiver Operating Characteristics (smROC) Curves. ECML/PKDD (2) William Klement, Peter A. Flach, Nathalie Japkowicz, Stan Matwin
2010	J	`jnl`	Boosting support vector machines for imbalanced data sets. Knowl. Inf. Syst. Benjamin X. Wang, Nathalie Japkowicz
2010	—	`conf`	Cascading Customized Naïve Bayes Couple. Canadian AI Guichong Li, Nathalie Japkowicz, Trevor J. Stocki, R. Kurt Ungar
2010	—	`conf`	Improving Bayesian Learning Using Public Knowledge. Canadian AI Farid Seifi, Chris Drummond, Nathalie Japkowicz, Stan Matwin
2010	—	`conf`	Robustness of Classifiers to Changing Environments. Canadian AI Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin
2010	—	`conf`	Using Classifier Performance Visualization to Improve Collective Ranking Techniques for Biomedical Abstracts Classification. Canadian AI Alexandre Kouznetsov, Nathalie Japkowicz
2010	J	`jnl`	Warning: statistical benchmarking is addictive. Kicking the habit in machine learning. J. Exp. Theor. Artif. Intell. Chris Drummond, Nathalie Japkowicz
2009	—	`ed.`	Advances in Artificial Intelligence, 22nd Canadian Conference on Artificial Intelligence, Canadian AI 2009, Kelowna, Canada, May 25-27, 2009, Proceedings Canadian AI Yong Gao, Nathalie Japkowicz
2009	—	`conf`	Cost-Based Sampling of Individual Instances. Canadian AI William Klement, Peter A. Flach, Nathalie Japkowicz, Stan Matwin
2009	—	`conf`	Evaluation Methods for Ordinal Classification. Canadian AI Lisa Gaudette, Nathalie Japkowicz
2009	C	`conf`	Instance Selection by Border Sampling in Multi-class Domains. ADMA Guichong Li, Nathalie Japkowicz, Trevor J. Stocki, R. Kurt Ungar
2009	J	`jnl`	Unknown malcode detection and the imbalance problem. J. Comput. Virol. Robert Moskovitch, Dima Stopel, Clint Feher, Nir Nissim, Nathalie Japkowicz, Yuval Elovici
2009	A*	`conf`	Workshop summary: The fourth workshop on evaluation methods for machine learning. ICML Chris Drummond, Nathalie Japkowicz, William Klement, Sofus A. Macskassy
2008	—	`conf`	A Projection-Based Framework for Classifier Performance Evaluation. ECML/PKDD (1) Nathalie Japkowicz, Pritika Sanghi, Peter E. Tischer
2008	—	`conf`	A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains. ECML/PKDD (2) Rocío Alaíz-Rodríguez, Nathalie Japkowicz, Peter E. Tischer
2008	—	`conf`	Assessing the Impact of Changing Environments on Classifier Performance. Canadian AI Rocío Alaíz-Rodríguez, Nathalie Japkowicz
2008	C	`conf`	Boosting Support Vector Machines for Imbalanced Data Sets. ISMIS Benjamin X. Wang, Nathalie Japkowicz
2008	A*	`conf`	Border Sampling through Coupling Markov Chain Monte Carlo. ICDM Guichong Li, Nathalie Japkowicz, Trevor J. Stocki, R. Kurt Ungar
2008	Misc	`conf`	Classifier Utility Visualization by Distance-Preserving Projection of High Dimensional Performance D. ISAIM Nathalie Japkowicz, Pritika Sanghi, Peter E. Tischer
2008	—	`conf`	Full Border Identification for Reduction of Training Sets. Canadian AI Guichong Li, Nathalie Japkowicz, Trevor J. Stocki, R. Kurt Ungar
2008	—	`conf`	Using Unsupervised Learning for Network Alert Correlation. Canadian AI Reuben Smith, Nathalie Japkowicz, Maxwell G. Dondo, Peter Mason
2008	—	`conf`	Visualizing Classifier Performance on Different Domains. ICTAI (2) Rocío Alaíz-Rodríguez, Nathalie Japkowicz, Peter E. Tischer
2007	A*	`conf`	A Meta-learning Approach for Selecting between Response Automation Strategies in a Help-desk Domain. AAAI Yuval Marom, Ingrid Zukerman, Nathalie Japkowicz
2007	Misc	`conf`	A Unified Framework for Relative Clause Simplification and Relative Pronoun Correction. IC-AI Christina George, Nathalie Japkowicz
2007	J	`jnl`	AAAI-07 Workshop Reports. AI Mag. Sarabjot Singh Anand, Daniel Bahls, Catherina Burghart, Mark H. Burstein, Huajun Chen, John Collins, Thomas G. Dietterich, Jon Doyle, Chris Drummond, William Elazmeh, Christopher W. Geib, Judy Goldsmith, Hans W. Guesgen, Jim Hendler, Dietmar Jannach, Nathalie Japkowicz, Ulrich Junker, Gal A. Kaminka, Alfred Kobsa, Jérôme Lang, David B. Leake, Lundy Lewis, Gerard Ligozat, Sofus A. Macskassy, Drew V. McDermott, Ted Metzler, Bamshad Mobasher, Ullas Nambiar, Zaiqing Nie, Klas Orsvärn, Barry O'Sullivan, David V. Pynadath, Jochen Renz, Rita V. Rodríguez, Thomas Roth-Berghofer, Stefan Schulz, Rudi Studer, Yimin Wang, Michael P. Wellman
2007	—	`conf`	AutoCorrel II: a neural network event correlation approach. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security Maxwell G. Dondo, Peter Mason, Nathalie Japkowicz, Reuben Smith
2007	J	`jnl`	Node similarity in the citation graph. Knowl. Inf. Syst. Wangzhong Lu, Jeannette C. M. Janssen, Evangelos E. Milios, Nathalie Japkowicz, Yongzheng Zhang
2006	A*	`conf`	A Feature Selection and Evaluation Scheme for Computer Virus Detection. ICDM Olivier Henchiri, Nathalie Japkowicz
2006	—	`conf`	AutoCorrel: a neural network event correlation approach. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security Maxwell G. Dondo, Nathalie Japkowicz, Reuben Smith
2006	—	`conf`	Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation. Australian Conference on Artificial Intelligence Marina Sokolova, Nathalie Japkowicz, Stan Szpakowicz
2006	—	`conf`	Evaluating Misclassifications in Imbalanced Data. ECML William Elazmeh, Nathalie Japkowicz, Stan Matwin
2006	J	`jnl`	Parallelizing Feature Selection. Algorithmica Jerffeson Teixeira de Souza, Stan Matwin, Nathalie Japkowicz
2006	J	`jnl`	Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. AI Mag. Wolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Douglas E. Appelt, Naveen Ashish, Tiffany Barnes, Joseph E. Beck, M. Bernardine Dias, Prashant Doshi, Chris Drummond, William Elazmeh, Ariel Felner, Dayne Freitag, Hector Geffner, Christopher W. Geib, Richard Goodwin, Robert C. Holte, Frank Hutter, Fair Isaac, Nathalie Japkowicz, Gal A. Kaminka, Sven Koenig, Michail G. Lagoudakis, David B. Leake, Lundy Lewis, Hugo Liu, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Pascal Poupart, David V. Pynadath, Thomas Roth-Berghofer, Wheeler Ruml, Stefan Schulz, Sven Schwarz, Stephanie Seneff, Amit P. Sheth, Ron Sun, Michael Thielscher, Afzal Upal, Jason D. Williams, Steve J. Young, Dmitry Zelenko
2006	B	`conf`	Three and Four Phase Scenarios for Dynamic Document Organization. SMC Taeho Jo, Nathalie Japkowicz
2005	—	`conf`	Clustering using an Autoassociator: A Case Study in Network Event Correlation. IASTED PDCS Reuben Smith, Nathalie Japkowicz, Maxwell G. Dondo
2005	—	`conf`	English to Chinese Translation of Prepositions. Canadian AI Hui Li, Nathalie Japkowicz, Caroline Barrière
2005	—	`conf`	PEEP- An Information Extraction base approach for Privacy Protection in Email. CEAS Narjès Boufaden, William Elazmeh, Yimin Ma, Stan Matwin, Nour El-Kadri, Nathalie Japkowicz
2005	C	`conf`	PEEP- Privacy Enforcement in Email Project. PST Narjès Boufaden, William Elazmeh, Stan Matwin, Nathalie Japkowicz
2005	—	`conf`	Privacy Compliance Enforcement in Email. Canadian AI Quintin Armour, William Elazmeh, Nour El-Kadri, Nathalie Japkowicz, Stan Matwin
2005	—	`conf`	STochFS: A Framework for Combining Feature Selection Outcomes Through a Stochastic Process. PKDD Jerffeson Teixeira de Souza, Nathalie Japkowicz, Stan Matwin
2005	B	`conf`	Text clustering with NTSO (neural text self organizer). IJCNN Taeho Jo, Nathalie Japkowicz
2004	J	`jnl`	A Multiple Resampling Method for Learning from Imbalanced Data Sets. Comput. Intell. Andrew Estabrooks, Taeho Jo, Nathalie Japkowicz
2004	—	`conf`	An Automatic Evaluation Framework for Improving a Configurable Text Summarizer. Canadian AI Loïs Rigouste, Stan Szpakowicz, Nathalie Japkowicz, Terry Copeck
2004	—	`conf`	Applying Support Vector Machines to Imbalanced Datasets. ECML Rehan Akbani, Stephen Kwek, Nathalie Japkowicz
2004	J	`jnl`	Class imbalances versus small disjuncts. SIGKDD Explor. Taeho Jo, Nathalie Japkowicz
2004	J	`jnl`	Editorial: special issue on learning from imbalanced data sets. SIGKDD Explor. Nitesh V. Chawla, Nathalie Japkowicz, Aleksander Kotcz
2004	—	`conf`	Privacy-Preserving Collaborative Association Rule Mining. ICEB Justin Zhijun Zhan, Stan Matwin, Nathalie Japkowicz, Liwu Chang
2003	Misc	`conf`	Case Authoring from Text and Historical Experiences. AI Marvin Zaluski, Nathalie Japkowicz, Stan Matwin
2002	Misc	`conf`	Text Summarization as Controlled Search. AI Terry Copeck, Nathalie Japkowicz, Stan Szpakowicz
2002	—	`conf`	The Decision List Machine. NIPS Marina Sokolova, Mario Marchand, Nathalie Japkowicz, John Shawe-Taylor
2002	J	`jnl`	The class imbalance problem: A systematic study. Intell. Data Anal. Nathalie Japkowicz, Shaju Stephen
2001	B	`conf`	A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets. IDA Andrew Estabrooks, Nathalie Japkowicz
2001	B	`conf`	A mixture-of-experts framework for text classification. CoNLL Andrew Estabrooks, Nathalie Japkowicz
2001	J	`jnl`	AAAI 2000 Workshop Reports. AI Mag. Yves Lespérance, Gerd Wagner, William P. Birmingham, Kurt Bollacker, Alexander Nareyek, J. Paul Walser, David W. Aha, Timothy W. Finin, Benjamin N. Grosof, Nathalie Japkowicz, Robert Holte, Lise Getoor, Carla P. Gomes, Holger H. Hoos, Alan C. Schultz, Miroslav Kubat, Tom M. Mitchell, Jörg Denzinger, Yolanda Gil, Karen L. Myers, Claudio Bettini, Angelo Montanari
2001	Misc	`conf`	Concept-Learning in the Presence of Between-Class and Within-Class Imbalances. AI Nathalie Japkowicz
2001	—	`conf`	Node similarity in networked information spaces. CASCON Wangzhong Lu, Jeannette C. M. Janssen, Evangelos E. Milios, Nathalie Japkowicz
2001	J	`jnl`	Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks. Mach. Learn. Nathalie Japkowicz
2001	A	`conf`	Using Unsupervised Learning to Guide Resampling in Imbalanced Data Sets. AISTATS Adam Nickerson, Nathalie Japkowicz, Evangelos E. Milios
2000	Misc	`conf`	A Recognition-Based Alternative to Discrimination-Based Multi-layer Perceptrons. AI Todd Eavis, Nathalie Japkowicz
2000	J	`jnl`	Nonlinear Autoassociation Is Not Equivalent to PCA. Neural Comput. Nathalie Japkowicz, Stephen Jose Hanson, Mark A. Gluck
1999	B	`conf`	Adaptability of the backpropagation procedure. IJCNN Nathalie Japkowicz, Stephen Jose Hanson
1995	A*	`conf`	A Novelty Detection Approach to Classification. IJCAI Nathalie Japkowicz, Catherine Myers, Mark A. Gluck
1994	A*	`conf`	Bootstrapping Training-Data Representations for Inductive Learning: A Case Study in Molecular Biology. AAAI Haym Hirsh, Nathalie Japkowicz
1991	A*	`conf`	A System for Translating Locative Prepositions from English into French. ACL Nathalie Japkowicz, Janyce Wiebe