Long-term prediction of time series by combining direct and MIMO strategies. - Souhaib Ben Taieb; Gianluca Bontempi; Antti Sorjamaa; Amaury Lendasse (IJCNN, 2009)

Multiple-output modeling for multi-step-ahead time series forecasting. - Souhaib Ben Taieb; Antti Sorjamaa; Gianluca Bontempi (Neurocomputing, 2010)

Recursive Multi-step Time Series Forecasting by Perturbing Data. - Souhaib Ben Taieb; Gianluca Bontempi (ICDM, 2011)

Machine Learning Strategies for Time Series Forecasting. - Gianluca Bontempi; Souhaib Ben Taieb; Yann-Aël Le Borgne (eBISS, 2012)

A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition. - Souhaib Ben Taieb; Gianluca Bontempi; Amir F. Atiya; Antti Sorjamaa (Expert Syst. Appl., 2012)

A Time Series Approach for Profiling Attack. - Liran Lerman; Gianluca Bontempi; Souhaib Ben Taieb; Olivier Markowitch (SPACE, 2013)

Boosting multi-step autoregressive forecasts. - Souhaib Ben Taieb; Rob J. Hyndman (ICML, 2014)

Decentralized Energy and Power Estimation in Solar-Powered Wireless Sensor Networks. - Ahmad H. Dehwah; Souhaib Ben Taieb; Jeff S. Shamma; Christian G. Claudel (DCOSS, 2015)

Sparse and Smooth Adjustments for Coherent Forecasts in Temporal Aggregation of Time Series. - Souhaib Ben Taieb (NIPS Time Series Workshop, 2016)

A Bias and Variance Analysis for Multistep-Ahead Time Series Forecasting. - Souhaib Ben Taieb; Amir F. Atiya (IEEE Trans. Neural Networks Learn. Syst., 2016)

Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression. - Souhaib Ben Taieb; Raphaël Huser; Rob J. Hyndman; Marc G. Genton (IEEE Trans. Smart Grid, 2016)

Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter Data. - Souhaib Ben Taieb; Jiafan Yu; Mateus Neves Barreto; Ram Rajagopal (AAAI, 2017)

Coherent Probabilistic Forecasts for Hierarchical Time Series. - Souhaib Ben Taieb; James W. Taylor; Rob J. Hyndman (ICML, 2017)

Regularized Regression for Hierarchical Forecasting Without Unbiasedness Conditions. - Souhaib Ben Taieb; Bonsoo Koo (KDD, 2019)

Forecasting: theory and practice. - Fotios Petropoulos; Daniele Apiletti; Vassilios Assimakopoulos; Mohamed Zied Babai; Devon K. Barrow; Souhaib Ben Taieb; Christoph Bergmeir; Ricardo J. Bessa; Jakub Bijak; John E. Boylan; Jethro Browell; Claudio Carnevale; et al. (CoRR, 2020)

Learning Quantile Functions for Temporal Point Processes with Recurrent Neural Splines. - Souhaib Ben Taieb (AISTATS, 2022)

Revisiting the Mark Conditional Independence Assumption in Neural Marked Temporal Point Processes. - Tanguy Bosser; Souhaib Ben Taieb (ESANN, 2023)

Anomaly detection in irregular image sequences for concentrated solar power plants. - Sukanya Patra; Le Thi Khanh Hien; Souhaib Ben Taieb (ESANN, 2023)

A Large-Scale Study of Probabilistic Calibration in Neural Network Regression. - Victor Dheur; Souhaib Ben Taieb (ICML, 2023)

On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data. - Tanguy Bosser; Souhaib Ben Taieb (Trans. Mach. Learn. Res., 2023)

Probabilistic Calibration by Design for Neural Network Regression. - Victor Dheur; Souhaib Ben Taieb (AISTATS, 2024)

Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images. - Sukanya Patra; Nicolas Sournac; Souhaib Ben Taieb (KDD, 2024)

Anomaly detection with semi-supervised classification based on risk estimators. - Le Thi Khanh Hien; Sukanya Patra; Souhaib Ben Taieb (Trans. Mach. Learn. Res., 2024)

Revisiting Deep Feature Reconstruction for Logical and Structural Industrial Anomaly Detection. - Sukanya Patra; Souhaib Ben Taieb (Trans. Mach. Learn. Res., 2024)

Distribution-free conformal joint prediction regions for neural marked temporal point processes. - Victor Dheur; Tanguy Bosser; Rafael Izbicki; Souhaib Ben Taieb (Mach. Learn., 2024)

Scores for Multivariate Distributions and Level Sets. - Xiaochun Meng; James W. Taylor; Souhaib Ben Taieb; Siran Li (Oper. Res., 2025)

Preventing Conflicting Gradients in Neural Marked Temporal Point Processes. - Tanguy Bosser; Souhaib Ben Taieb (Trans. Mach. Learn. Res., 2025)

A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression. - Victor Dheur; Matteo Fontana; Yorick Estievenart; Naomi Desobry; Souhaib Ben Taieb (CoRR, 2025)

Large Language Models Are Human-Like Internally. - Tatsuki Kuribayashi; Yohei Oseki; Souhaib Ben Taieb; Kentaro Inui; Timothy Baldwin (CoRR, 2025)

Rectifying Conformity Scores for Better Conditional Coverage. - Vincent Plassier; Alexander Fishkov; Victor Dheur; Mohsen Guizani; Souhaib Ben Taieb; Maxim Panov; Eric Moulines (CoRR, 2025)

Segmentation-Guided CT Synthesis with Pixel-Wise Conformal Uncertainty Bounds. - David Vallmanya Poch; Yorick Estievenart; Elnura Zhalieva; Sukanya Patra; Mohammad Yaqub; Souhaib Ben Taieb (CoRR, 2025)

Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants. - Yorick Estievenart; Sukanya Patra; Souhaib Ben Taieb (CoRR, 2025)

Multivariate Latent Recalibration for Conditional Normalizing Flows. - Victor Dheur; Souhaib Ben Taieb (CoRR, 2025)