Publications

Journal papers:

D.Ilie-Ablachim, B.Dumitrescu, “SimCDL: A Simple Framework for Contrastive Dictionary Learning”, Applied Sciences, vol.22, no.14, art.10082, 2024. published paper
A. Băltoiu, D.C. Ilie-Ablachim, B.Dumitrescu, “Dictionary learning with cone atoms and application to anomaly detection”, Signal Processing, vol.219, art.109398, June 2024. published paper, extended version
D.C. Ilie-Ablachim, A. Băltoiu, B.Dumitrescu, “Sparse Representation With Gaussian Atoms and Its Use in Anomaly Detection”, IEEE Open Journal of Signal Processing, vol.5, pp.168-176, 2024. published paper
D.C. Ilie-Ablachim, B.Dumitrescu, “Incoherent frames design and dictionary learning using a distance barrier”, Signal Processing, vol.209, art. 109019, August 2023: pdf (first submission), published paper
A.R. Mănescu, B.Dumitrescu, “HyperDE: An Adaptive Hyper-Heuristic for Global Optimization”, Algorithms, vol.16, no.9, 2023, published paper
X.Zheng, B.Dumitrescu, J.Liu, C.D.Giurcaneanu – Multivariate time series imputation: An approach based on dictionary learning, Entropy, vol.24, no.8, pp.1057, July 2022: published paper

T.A. Badea, B.Dumitrescu, “DualGCN: A convolutional network for anomaly detection in directed graphs based on symmetrized and skew-symmetrized Laplacians”, MLSP 2024, pdf.
D.C. Ilie-Ablachim, A.Băltoiu, B.Dumitrescu, “Sparse representations with cone atoms”, ICASSP 2023: pdf (submitted version), paper, poster, video presentation
A.R. Manescu, B.Dumitrescu, “Evolutionary hyper-heuristics for improving global optimization algorithms”, CSCS 2023, paper.
T.A. Badea, B.Dumitrescu, “Community-Augmented Local-Link Intensity: a score for anomaly detection in graphs”, CoDIT 2023: pdf, paper.
D.C. Ilie-Ablachim, B.Dumitrescu, “Classification with dictionary learning and a distance barrier promoting incoherence”, MLSP 2023, pdf, paper.
C.E. Zica, B.Dumitrescu, “Online Computation of Reduced Egonet Features for Anomaly Detection in Bank Transactions Graphs”, MLSP 2023, pdf, paper.
D.C. Ilie-Ablachim, B.Dumitrescu, “Angle-Based Dictionary Learning for Outlier Detection”, SCC 2023, pdf.

T.A. Badea, B. Dumitrescu, “Haar-Laplacian for directed graphs”, manuscript, Nov. 2024.
T.A. Badea, B. Dumitrescu, “i-DGCN: A Spectral Convolutional Network For Directed Graphs Using An Intensity Laplacian”, submitted, Oct. 2024, pdf file
A. Băltoiu, D.C. Ilie-Ablachim, B. Dumitrescu, “Atom dimension adaptation for infinite set dictionary learning”, arXiv, Sept. 2024. https://arxiv.org/abs/2409.06831
D.C. Ilie-Ablachim, B. Dumitrescu, C. Rusu, Kernel t-distributed stochastic neighbor embedding, arXiv, July 2023. https://arxiv.org/abs/2307.07081