Between 2013 and 2024, the team published 65 research artefacts.

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2024

• Ranking Handball Teams from Statistical Strength Estimation
  Felice, Florian in Computational Statistics (2024)


• Data-adaptive structural change-point detection via isolation
  Andreas Anastasiou; Sophia Loizidou in arXiv preprint arXiv:2404.19344 (2024)


• Assumption-Lean Quantile Regression
  Georgi Baklicharov; Christophe Ley; Vanessa Gorasso; Brecht Devleesschauwer; Stijn Vansteelandt in (2024)


• Bayesian Joint Longitudinal Models for Assessing the Exploitation Rates of Sardine Stock in the Mediterranean Sea
  Gabriel Calvo; Carmen Armero; Luigi Spezia; Maria Grazia Pennino in Stochastic Environmental Research and Risk Assessment (2024)


• Selecting a conceptual hydrological model using Bayes' factors computed with Replica Exchange Hamiltonian Monte Carlo and Thermodynamic Integration
  Damian Mingo Ndiwago; Remko Nijzink; Christophe Ley; Jack HALE in EGUsphere [preprint] (2024)


• The trivariate wrapped Cauchy copula - a multi-purpose model for angular data
  Kato, Shogo; Ley, Christophe; Loizidou, Sophia in arXiv preprint arXiv:2401.10824 (2024)


• Prediction of Handball Matches with Statistically Enhanced Learning via Estimated Team Strengths
  Felice, Florian; Ley, Christophe in arXiv preprint arXiv:2307.11777 (2024)

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2023

• Adversarial Deep Learning based Dampster-Shafer data fusion model for intelligent transportation system
  Senthil Murugan Nagarajan; Ganesh Gopal Devarajan; Ramana T.V.; Asha Jerlin M.; Ali Kashif Bashir; Yasser D. Al-Otaibi in Information Fusion (2023)


• Consumer Product Recommendation System using Adapted PSO with Federated Learning Method
  Ganesh Gopal Devarajan; Senthil Murugan Nagarajan; Daniel A; Vignesh T; Rajesh Kaluri in IEEE Transactions on Consumer Electronics (2023)


• Selecting the Best Compositions of a Wheelchair Basketball Team: A Data-Driven Approach
  Gabriel Calvo; Carmen Armero; Bernd Grimm; Christophe Ley in arXiv preprint arXiv:2310.03417 (2023)


• DDNSAS: Deep reinforcement learning based deep Q-learning network for smart agriculture system
  Ganesh Gopal Devarajan; Senthil Murugan Nagarajan; TV Ramana; T Vignesh; Uttam Ghosh; Waleed Alnumay in Sustainable Computing: Informatics and Systems (2023)


• Relationship between a daily injury risk estimation feedback (I-REF) based on machine learning techniques and actual injury risk in athletics (track and field): protocol for a prospective cohort study over an athletics season
  Dandrieux, Pierre-Eddy; Navarro, Laurent; Blanco, David; Ruffault, Alexis; Ley, Christophe; Bruneau, Antoine; Chapon, Joris; Hollander, Joris; Edouard, Pascal in BMJ Open (2023)


• Exploring the relationship between basketball rotation and competitive performance using substitution network analysis
  Tianxiao Guo; Yixiong Cui; Weifan Min; Wenjie Zhang; Jing Mi; Yanfei Shen in Journal of Sports Sciences (2023)


• Statistically Enhanced Learning: a feature engineering framework to boost (any) learning algorithms
  Felice, Florian; Ley, Christophe; Groll, Andreas; Bordas, Stéphane in arXiv preprint arXiv:2306.17006 (2023)


• Enhancing Network Lifespan in Wireless Sensor Networks using Deep Learning based Graph Neural Network
  Nithya Rekha Sivakumar; Senthil Murugan Nagarajan; Ganesh Gopal Devarajan; Lokaiah Pullagura; Rajendra Prasad Mahapatra in Physical Communication, Elsevier (2023)


• TailCoR: A new and simple metric for tail correlations that disentangles the linear and nonlinear dependencies that cause extreme co-movements
  Babić, Sladana; Ley, Christophe; Ricci, Lorenzo; Veredas, David in Plos one (2023)


• Statistics Meets Sports: What We Can Learn from Sports Data
  Dominicy, Yves; Ley, Christophe in Cambridge Scholars Publishing (2023)


• Möglichkeiten und Perspektiven zum Einsatz der künstlichen Intelligenz in der Sportorthopädie
  Oronowicz, Jakub; Ley, Christophe; Pachowsky, Milena; Seil, Romain; Tischer, Thomas in Sports Orthopaedics and Traumatology (2023)


• Stein's Method Meets Computational Statistics: A Review of Some Recent Developments
  Andreas Anastasiou; Barp, Alessandro; Xavier Briol, François; Ebner, Bruno; Gaunt, Robert E.; Ghaderinezhad, Fatemeh; Gorham, Jackson; Gretton, Arthur; Ley, Christophe; Liu, Qiang; Mackey, Lester; Oates, Chris J.; Reinert, Gesine; Swan, Yvik in Statistical Science (2023)


• AI-Assisted Deep NLP-Based Approach for Prediction of Fake News From Social Media Users
  Ganesh Gopal Devarajan; Senthil Murugan Nagarajan; Sardar Irfanullah Amanullah; SA Sahaaya Arul Mary; Ali Kashif Bashir in IEEE Transactions on Computational Social Systems (2023)

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2022

• Machine learning and conventional statistics: making sense of the differences
  Ley, Christophe; Martin, R. Kyle; Pareek, Ayoosh; Groll, Andreas; Seil, Romain; Tischer, Thomas in Knee Surgery, Sports Traumatology, Arthroscopy (2022)


• From Pareto to Weibull - A Constructive Review of Distributions on $\mathbb{R}^+$
  Sinner, Corinne; Dominicy, Yves; Trufin, Julien; Waterschoot, Wout; Weber, Patrick; Ley, Christophe in International Statistical Review (2022)


• The Wasserstein Impact Measure (WIM): A practical tool for quantifying prior impact in Bayesian statistics
  in Computational Statistics and Data Analysis (2022)


• Sine-skewed toroidal distributions and their application in protein bioinformatics
  Ameijeiras-Alonso, Jose; Ley, Christophe in Biostatistics (2022)


• How injury registration and preseason assessment are being delivered : an international survey of sports physical therapists
  Ley, Christophe; Mendonça, Luciana D.; Schuermans, Joke; Wezenbeek, Evi; Witvrouw, Erik in Physical Therapy (2022)


• Artificial intelligence and machine learning: an introduction for orthopaedic surgeons
  Martin, R Kyle; Ley, Christophe; Pareek, Ayoosh; Groll, Andreas; Tischer, Thomas; Seil, Romain in Knee Surg Sports Traumatol Arthrosc (2022)


• Bayes factors for longitudinal model assessment via power posteriors
  Calvo, Gabriel; Armero, Carmen; Spezia, Luigi; Grazia Pennino, Maria in arXiv preprint arXiv:2209.03847 (2022)


• Delorme's intertwining conditions for sections of homogeneous vector bundles on two-and three-dimensional hyperbolic spaces
  in Annals of Global Analysis and Geometry (2022)


• A topological Paley-Wiener-Schwartz Theorem for sections of homogeneous vector bundles on $G/K$
  Palmirotta, Guendalina; Olbrich, Martin in arXiv preprint arXiv:2202.06905 (2022)


• Solvability of invariant systems of differential equations on $\mathbf{H}^{2}$ and beyond
  Palmirotta, Guendalina; Olbrich, Martin in arXiv preprint arXiv:2206.01835 (2022)


• AD for an Array Language with Nested Parallelism
  Schenck, Robert; Rønning, Ola; Henriksen, Troels; Oancea in arXiv preprint arXiv:2202.10297 (2022)


• Innovative feature selection and classification model for heart disease prediction
  Nagarajan, Senthil Murugan; Muthukumaran, V; Murugesan, R; Bindu Joseph, Rose; Meram, Munirathanam; Prathik, A in Journal of Reliable Intelligent Environments (2022)


• Intelligent Task Scheduling Approach for IoT Integrated Healthcare Cyber Physical Systems
  Nagarajan, Senthil Murugan; Devarajan, Ganesh Gopal; Mohammed, Amin Salih; Ramana, T. V.; Ghosh, Uttam in IEEE Transactions on Network Science and Engineering (2022)


• Ambient intelligence approach: Internet of Things based decision performance analysis for intrusion detection
  Ramana, TV; Thirunavukkarasan, M; Mohammed, Amin Salih; Devarajan, Ganesh Gopal; Nagarajan, Senthil Murugan in Computer Communications, Elsevier (2022)


• Intelligent recognition system for viewpoint variations on gait and speech using CNN-CapsNet
  Merlin Linda, G; Sree Rathna Lakshmi, NVS; Nagarajan, Senthil Murugan; Mahapatra, Rajendra Prasad; Muthukumaran, V; Sivaram, M in International Journal of Intelligent Computing and Cybernetics (2022)


• IADF-CPS: Intelligent Anomaly Detection Framework towards Cyber Physical Systems
  Nagarajan, Senthil Murugan; Gopal, Ganesh; Bashir, Ali Khashif; Mahapatra, R P; Al-Numay, M S. in Computer Communications, Elsevier (2022)


• Security framework for IoT and deep belief network-based healthcare system using blockchain technology
  Nagarajan, Senthil Murugan; Anandhan, Prathik; Muthukumaran, V.; Uma, K.; Kumaran, U. in International Journal of Electronic Business (2022)


• Integration of IoT based routing process for food supply chain management in sustainable smart cities
  Nagarajan, Senthil Murugan; Gopal, Ganesh; Chatterjee, Pushpita; Alnumay, Waleed; Muthukumaran, V. in Sustainable Cities and Society, Elsevier (2022)

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2021

• Bayesian hierarchical nonlinear modelling of intra-abdominal volume during pneumoperitoneum for laparoscopic surgery
  Calvo, Gabriel; Armero, Carmen; Gomez-Rubio,Virgilio; Mazzinari, Guido in SORT-Statistics and Operations Research Transactions (2021)


• Scalable Econometrics on Big Data -- The Logistic Regression on Spark
  Ouattara, Aurélien; Bulté, Matthieu; Lin, Wan-Ju; Scholl, Philipp; Veit, Benedikt; Zakias, Christos; Felice, Florian; Virlogeux, Julien; Dikos, George in arXiv preprint arXiv:2106.10341 (2021)


• Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoder
  Moreta, Lys Sanz; Rønning, Ola; Al-Sibahi, Ahmad Salim; Hein, Jotun; Theobald, Douglas; Hamelryck, Thomas in International Conference on Learning Representations (2021)


• Effective Task Scheduling Algorithm with Deep Learning for Internet of Health Things (IoHT) in Sustainable Smart Cities
  Nagarajan, Senthil Murugan; Gopal, Ganesh; Chatterjee, Puspita; Alnumay, Waleed; Ghosh, Uttam in Sustainable Cities and Society, Elsevier (2021)


• TARS- AI based PersonalAssistant
  D Prabhu; Senthil Murugan Nagarajan; M Ananthi in International Conference on Computer and Communications Technologies (ICCCT) (2021)


• Secure Data Transmission in Internet of Medical Things Using RES-256 Algorithm
  Senthil Murugan Nagarajan; Ganesh Gopal Deverajan; U Kumaran; M Thirunavukkarasan; Mohammad Dahman Alshehri; Salem Alkhalaf in IEEE Transactions on Industrial Informatics (2021)


• Fusion of mel and gammatone frequency cepstral coefficients for speech emotion recognition using deep C-RNN
  U Kumaran; S Radha Rammohan; Senthil Murugan Nagarajan; A Prathik in International Journal of Speech Technology (2021)


• Research on the improvement of rural old-age security system in the new era sustainable smart city transportation
  Chenghua Wang; Senthil Murugan Nagarajan; Prathik Anandhan in International Journal of Shipping and Transport Logistics (2021)


• Fine tuning smart manufacturing enterprise systems: a perspective of internet of things-based service-oriented architecture
  Senthil Murugan Nagarajan; V Muthukumaran; IS Beschi; S Magesh in Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies (2021)


• Feature selection model for healthcare analysis and classification using classifier ensemble technique
  Senthil Murugan Nagarajan; V Muthukumaran; R Murugesan; Rose Bindu Joseph; Meram Munirathanam in International Journal of System Assurance Engineering and Management (2021)


• Time-efficient Bayesian Inference for a (Skewed) Von Mises Distribution on the Torus in a Deep Probabilistic Programming Language
  Moreta, Lys Sanz; Rønning, Ola; Ley, Christophe; Mardia, Kanti V; Hamelryck, Thomas in 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) (2021)

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2020

• Machine learning assisted information management scheme in service concentrated IoT
  Gunasekaran Manogaran; Mamoun Alazab; Vijayalakshmi Saravanan; Bharat S Rawal; P Mohamed Shakeel; Revathi Sundarasekar; Senthil Murugan Nagarajan; Seifedine Nimer Kadry; Carlos Enrique Montenegro-Marin in IEEE transactions on industrial informatics (2020)

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2019

• Segmentation by fractional order darwinian particle swarm optimization based multilevel thresholding and improved lossless prediction based compression algorithm for medical images
  Ahilan, A; Manogaran, Gunasekaran; Raja, C; rasekaran; Kadry, Seifedine; Kumar, Subbiahpillai Neelakantapillai; Kumar, C Agees; Jarin, T; Krishnamoorthy, Sujatha; Kumar, Priyan Malarvizhi; Babu, Gokulnath Chandra; Nagarajan, Senthil Murugan; Parthasarathy in Ieee Access (2019)


• Classifying streaming of Twitter data based on sentiment analysis using hybridization
  Nagarajan, Senthil Murugan; Gandhi, Usha Devi in Neural Computing and Applications (2019)


• Feature extraction using LR-PCA hybridization on twitter data and classification accuracy using machine learning algorithms
  Nagarajan, Senthil Murugan; G, Usha Devi in Cluster Computing (2019)

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2018

• Detecting multivariate outliers: Use a robust variant of the Mahalanobis distance
  Leys, Christophe; Klein, Olivier; Dominicy, Yves; Ley, Christophe in Journal of experimental social psychology (2018)


• Sluice resolution without hand-crafted features over brittle syntax trees
  Rønning, Ola; Hardt, Daniel; Søgaard, Anders in Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2018)


• Linguistic representations in multi-task neural networks for ellipsis resolution
  Rønning, Ola; Hardt, Daniel; Søgaard, Anders in BlackboxNLP@ EMNLP (2018)


• Detecting streaming of Twitter spam using hybrid method
  Senthil Murugan Nagarajan; Usha Devi Gandhi in Wireless Personal Communications (2018)


• Detecting spams in social networks using ML algorithms-a review
  Senthil Murugan Nagarajan; Usha Devi Gandhi in International Journal of Environment and Waste Management (2018)

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2017

• Modern directional statistics
  Ley, Christophe; Verdebout, Thomas in Chapman and Hall/CRC (2017)

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2016

• Covariance based point cloud descriptors for object detection and recognition
  Fehr, Duc; Beksi, William J.; Zermas, Dimitris; Papanikolopoulos, Nikolaos in Computer vision and image understanding (2016)

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2015

• Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images
  Fehr, Duc; Veeraraghavan, Harini; Wibmer, Andreas; Gondo, Tatsuo; Matsumoto, Kazuhiro; Vargas, Herbert Alberto; Sala, Evis; Hricak, Hedvig; Deasy, Joseph O. in Proceedings of the National Academy of Sciences (2015)

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2014

• Rgb-d object classification using covariance descriptors
  Fehr, Duc; Beksi, William J.; Zermas, Dimitris; Papanikolopoulos, Nikolaos in 2014 IEEE International Conference on Robotics and Automation (ICRA) (2014)


• Occlusion alleviation through motion using a mobile robot
  Fehr, Duc; Beksi, William J.; Zermas, Dimitris; Papanikolopoulos, Nikolaos in 2014 IEEE International Conference on Robotics and Automation (ICRA) (2014)

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2013

• Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median
  Leys, Christophe; Ley, Christophe; Klein, Olivier; Bernard, Philippe; Licata, Laurent in Journal of experimental social psychology (2013)

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