Roberto Corizzo

Zois Boukouvalas

Mach. Learn., April, 2024

Stock market prediction with time series data and news headlines: a stacking ensemble approach.

[BibT_eX]

[DOI]

Jacob Rosen

J. Intell. Inf. Syst., February, 2024

Towards efficient deep autoencoders for multivariate time series anomaly detection.

[BibT_eX]

[DOI]

CoRR, 2024

Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media.

[BibT_eX]

[DOI]

CoRR, 2024

Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights.

[BibT_eX]

[DOI]

IEEE Access, 2024

2023

HURI: Hybrid user risk identification in social networks.

[BibT_eX]

[DOI]

Gianvito Pio

Emanuele Pio Barracchia

Antonio Pellicani

World Wide Web (WWW), September, 2023

VLAD: Task-agnostic VAE-based lifelong anomaly detection.

[BibT_eX]

[DOI]

Neural Networks, August, 2023

Ada-QPacknet - adaptive pruning with bit width reduction as an efficient continual learning method without forgetting.

[BibT_eX]

[DOI]

CoRR, 2023

AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2023

From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Lifelong Learning for Anomaly Detection: New Challenges, Perspectives, and Insights.

[BibT_eX]

[DOI]

CoRR, 2023

Independent Vector Analysis with Sparse Inverse Covariance Estimation: An Application to Misinformation Detection.

[BibT_eX]

[DOI]

Charles C. Cavalcante

Zois Boukouvalas

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Transformed-*: A domain-incremental lifelong learning scenario generation framework.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

A Deep Fusion Model for Human $vs$. Machine-Generated Essay Classification.

[BibT_eX]

[DOI]

Sebastian Leal-Arenas

Proceedings of the International Joint Conference on Neural Networks, 2023

Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Explainable Spatio-Temporal Graph Modeling.

[BibT_eX]

[DOI]

Massimiliano Altieri

Proceedings of the Discovery Science - 26th International Conference, 2023

Distributed Concept Drift Detection for Efficient Model Adaptation with Big Data Streams.

[BibT_eX]

[DOI]

Ian Whitehouse

Rodrigo Yepez-Lopez

Proceedings of the IEEE International Conference on Big Data, 2023

Distributed Continual Intrusion Detection: A Collaborative Replay Framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

Multimodal One-class Learning for Malicious Online Content Detection.

[BibT_eX]

[DOI]

Charles C. Cavalcante

Zois Boukouvalas

Proceedings of the IEEE International Conference on Big Data, 2023

One-GPT: A One-Class Deep Fusion Model for Machine-Generated Text Detection.

[BibT_eX]

[DOI]

Sebastian Leal-Arenas

Proceedings of the IEEE International Conference on Big Data, 2023

2022

CPDGA: Change point driven growing auto-encoder for lifelong anomaly detection.

[BibT_eX]

[DOI]

Michael Baron

Knowl. Based Syst., 2022

4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Machine Learning for Surgical Risk Assessment Decision Systems.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

LIFEWATCH: Lifelong Wasserstein Change Point Detection.

[BibT_eX]

[DOI]

Michael Baron

Proceedings of the International Joint Conference on Neural Networks, 2022

Active Lifelong Anomaly Detection with Experience Replay.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

Imbalanced Multi-layer Cloud Classification with Advanced Baseline Imager (ABI) and CloudSat/CALIPSO Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

LSTM-based Pulmonary Air Leak Forecasting for Chest Tube Management.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Distributed Node Classification with Graph Attention Networks.

[BibT_eX]

[DOI]

Terry Slenn

Proceedings of the IEEE International Conference on Big Data, 2022

Scalable Forecasting in Sensor Networks with Graph Convolutional LSTM Models.

[BibT_eX]

[DOI]

Massimiliano Altieri

Proceedings of the IEEE International Conference on Big Data, 2022

System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.

[BibT_eX]

[DOI]

Gianmarco J. Gallardo

Michael R. Piacentino

Jesse Hostetler

Aswin Raghavan

Proceedings of the Second International Conference on AI-ML Systems, 2022

2021

Multi-Horizon Air Pollution Forecasting with Deep Neural Networks.

[BibT_eX]

[DOI]

Sensors, 2021

Multi-aspect renewable energy forecasting.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 24th International Conference, 2021

Calibrated Resampling for Imbalanced and Long-Tails in Deep Learning.

[BibT_eX]

[DOI]

Colin Bellinger

Proceedings of the Discovery Science - 24th International Conference, 2021

On the combined effect of class imbalance and concept complexity in deep learning.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data.

[BibT_eX]

[DOI]

Michael Baron

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Explainable image analysis for decision support in medical healthcare.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification.

[BibT_eX]

[DOI]

Sensors, 2020

Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks.

[BibT_eX]

[DOI]

Remote. Sens., 2020

Scalable auto-encoders for gravitational waves detection from time series data.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2020

ReMix: Calibrated Resampling for Class Imbalance in Deep learning.

[BibT_eX]

[DOI]

Colin Bellinger

CoRR, 2020

ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids.

[BibT_eX]

[DOI]

IEEE Access, 2020

Short-term air pollution forecasting based on environmental factors and deep learning models.

[BibT_eX]

[DOI]

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

One-Class Ensembles for Rare Genomic Sequences Identification.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 23rd International Conference, 2020

2019

DENCAST: distributed density-based clustering for multi-target regression.

[BibT_eX]

[DOI]

J. Big Data, 2019

Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Spatial autocorrelation and entropy for renewable energy forecasting.

[BibT_eX]

[DOI]

Donato Malerba

Data Min. Knowl. Discov., 2019

Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data.

[BibT_eX]

[DOI]

Big Data Res., 2019

Pattern and Anomaly Localization in Complex and Dynamic Data.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Deep Learning Versus Conventional Learning in Data Streams with Concept Drifts.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Big Data Analytics and Predictive Modeling Approaches for the Energy Sector.

[BibT_eX]

[DOI]

Donato Malerba

Proceedings of the 2019 IEEE International Congress on Big Data, 2019

2018

An OWL Ontology for Supporting Semantic Services in Big Data Platforms.

[BibT_eX]

[DOI]

Domenico Redavid

Donato Malerba

Proceedings of the 2018 IEEE International Congress on Big Data, 2018

2017

Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction?

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2017

Forecasting via Distributed Density-Based Clustering.

[BibT_eX]

[DOI]

Proceedings of the 25th Italian Symposium on Advanced Database Systems, 2017

2015

VIPOC Project Research Summary (Discussion Paper).

[BibT_eX]

Proceedings of the 23rd Italian Symposium on Advanced Database Systems, 2015

Big Data Techniques For Supporting Accurate Predictions of Energy Production From Renewable Sources.

[BibT_eX]

[DOI]