Publications

Publications

2025

  1. C. Andronache, D. Curăvale, I. E. Nicolae, A. Neacșu, G. Nicolae, and M. Ivanovici, “Tackling the possibility of extracting a brain digital fingerprint based on personal hobbies predilection,” Frontiers Neurosci., vol. 19, p. 1487175, 2025, doi: 10.3389/fnins.2025.1487175.

2024

  1. V. Vasilescu, A. Neacșu, and J.-C. Pesquet, “Are almost non-negative neural networks universal approximators?” in Proc. International Workshop on Machine Learning for Signal Processing (MLSP), London, U.K., 2024, pp. 1–6, doi: 10.1109/MLSP58920.2024.10734768.
  2. A. Neacșu, J.-C. Pesquet, V. Vasilescu, and C. Burileanu, “ABBA Neural Networks: Coping with Positivity, Expressivity, and Robustness,” in SIAM Journal on Mathematics of Data Science (SIMODS), vol. 6, no. 3, pp. 649–678, 2024, doi: 10.1137/23M1589591, ISI WOS:001322036700004.
  3. S. Juvină, A. Neacșu, J. Rony, J.-C. Pesquet, and C. Burileanu, “Training Graph Neural Networks Subject to a Tight Lipschitz Constraint,” in Transactions on Machine Learning Research (TMLR), 2024, ISSN: 2835-8856.
  4. D. Curăvale, C. Andronache, and A. Neacșu, “Robust and hardware agnostic EEG signal processing tool,” in 2024 15th International Conference on Communications (COMM), Bucharest, Romania, Oct. 2024, pp. 1–6. IEEE, doi: 10.1109/COMM62355.2024.10741463.
  5. C. Manolache, C. Andronache, A. Guzu, A. Caranica, H. Cucu, A. Buzo, and G. Pelz, “Synthetic Benchmark for Data-Driven Pre-Si Analogue Circuit Verification,” Electronics, vol. 13, no. 13, p. 2600, 2024, doi: 10.3390/electronics13132600, WOS:001269706000001.
  6. B. Moroșanu, M. Negru, and C. Paleologu, “Automated Personalized Loudness Control for Multi-Track Recordings,” Algorithms, vol. 17, no. 6, p. 228, 2024, doi: 10.3390/a17060228, WOS:001254517300001.
  7. C. Manolache, A. Guzu, C. Andronache, A. Caranica, H. Cucu, Gazmend Azmend, Andi Buzo, and Georg Pelz, “SFP: A Metric for Assessing Circuit Failure Probability During Pre-Si Verification,” UPB Scientific Buletin, Sec. C Electr. Eng. Comput, vol. 86, no. 1, pp. 163–174, 2024. WOS:001380943300014.
  8. C. Vișan, D. Curăvale, G. Nicolae, M. Boldeanu, H. Cucu, and A. Buzo, “A novel simulations scheduler for automated circuit sizing algorithms,” in Proc. 20th Int. Conf. Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), Lisbon, Portugal, July 2024, pp. 1–4. IEEE, doi: 10.1109/SMACD61181.2024.10745424.

2023

  1. M. Negru, B. Moroșanu, A. Neacșu, D. Drăghicescu, and C. Negrescu, “Automatic Audio Upmixing Based on Source Separation and Ambient Extraction Algorithms,” in Proc. International Conference on Speech Technology and Human-Computer Dialogue (SpeD), Bucharest, Romania, 2023, pp. 12–17, doi: 10.1109/SpeD59241.2023.10314957.
  2. B. Moroșanu, M. Negru, A. Neacșu, C. Negrescu, and C. Paleologu, “Personalized Multi-Track Leveling Algorithm,” in Proc. International Conference on Speech Technology and Human-Computer Dialogue (SpeD), Bucharest, Romania, 2023, pp. 24–29, doi: 10.1109/SpeD59241.2023.10314904.
  3. A. Neacșu, J.-C. Pesquet, and C. Burileanu, “EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks,” in ACM Transactions on Intelligent Systems and Technology (TIST), vol. 5, no. 2, 2023, ISSN: 2157-6904, doi: 10.1145/3635159, ISI WOS:001208775700007.
  4. C. Manolache, C. Andronache, A. Caranica, H. Cucu, A. Buzo, C. V. Diaconu, and G. Pelz, “Applying Multi-objective Acquisition Function Ensemble for a Candidate Proposal Algorithm,” in 2023 International Conference on Speech Technology and Human-Computer Dialogue (SpeD), Bucharest, Romania, Oct. 2023, pp. 116–121. IEEE, doi: 10.1109/SpeD59241.2023.10314884.
  5. C. Manolache, C. Andronache, A. Caranica, H. Cucu, A. Buzo, C. V. Diaconu, and G. Pelz, “Adaptive Planning Search Algorithm for Analog Circuit Verification,” in 2023 International Semiconductor Conference (CAS), Oct. 2023, pp. 81–84. IEEE, doi: 10.1109/CAS59036.2023.10303674.
  6. C. Vaduva, D. Faur, A. Grivei, V. Vasilescu, and M. Datcu, “A Latent Analysis of a Super-Resolved Sentinel-2 Data Cube for Green Urban Infrastructure Health Monitoring,” in IGARSS 2023 IEEE International Geoscience and Remote Sensing Symposium, Jul. 2023, pp. 5700–5703. IEEE, doi: 10.1109/IGARSS52108.2023.10283357, WOS:001098971605211.
  7. V. Vasilescu, M. Datcu, and D. Faur, “Sentinel-2 60-m Band Super-Resolution Using Hybrid CNN-GPR Model,” IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1–5, 2023, doi: 10.1109/LGRS.2023.3296188, WOS:001041986700005.
  8. V. Vasilescu, M. Datcu, and D. Faur, “A CNN-based Sentinel-2 Image Super-Resolution Method Using Multiobjective Training,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1–14, 2023, doi: 10.1109/TGRS.2023.3240296, WOS:000960567300005.
  9. O. Pascu, C. Vișan, G. Nicolae, M. Boldeanu, H. Cucu, C. V. Diaconu, A. Buzo, and G. Pelz, “Efficient Multi-objective Optimization for PVT Variation-Aware Circuit Sizing Using Surrogate Models and Smart Corner Sampling,” in Proc. 2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), Aug. 2023, pp. 1–6. IEEE, doi: 10.1109/ISLPED58423.2023.10244708, WOS:001073659300049.
  10. G. Nicolae, C. Vișan, D. Curăvale, M. Boldeanu, H. Cucu, A. Buzo, and G. Pelz, “A Study on Initial Population Sampling for Multi-objective Optimization Based on Differential Evolution and Bayesian Inference,” in Proc. 2023 International Conference on Speech Technology and Human-Computer Dialogue (SpeD), Bucharest, Romania, Oct. 2023, pp. 128–132. IEEE, doi: 10.1109/SpeD59241.2023.10314871.
  11. G. Nicolae, H. Cucu, C. Burileanu, A. Buzo, C. Feuerbaum, and G. Pelz, “Automatic Design Optimization of Microelectronic Power Switches,” Scientific Bulletin of University Politehnica Bucharest, vol. 85, no. 1, 2023, WOS:000957721700001.

2022

  1. A. Neacșu, R. Ciubotaru, J.-C. Pesquet, and C. Burileanu, “Design of Robust Complex–Valued Feed-Forward Neural Networks,” in Proc. 30th European Signal Processing Conference (EUSIPCO), Belgrade, Serbia, 2022, pp. 1596–1600, doi: 10.23919/EUSIPCO55093.2022.9909696, ISI WOS:000918827600313.
  2. C. Andronache, M. Negru, I. Bădiţoiu, G. Cioroiu, A. Neacșu, and C. Burileanu, “Automatic Gesture Recognition Framework Based on Forearm EMG Activity,” in Proc. 45th International Conference on Telecommunications and Signal Processing (TSP), Prague, Czech Republic, 2022, pp. 284–288, doi: 10.1109/TSP55681.2022.9851314, ISI WOS:001070846300059.
  3. C. Manolache, M. Boldeanu, C. Talianu, and H. Cucu, “Unsupervised Deep Learning Models for Aerosol Layers Segmentation,” in Proc. 2022 14th International Conference on Communications (COMM), Jun. 2022, pp. 1–6. IEEE, doi: 10.1109/COMM54429.2022.9817310.
  4. C. Manolache, A. Caranica, H. Cucu, A. Buzo, C. Diaconu, and G. Pelz, “Enhanced Candidate Selection Algorithm for Analog Circuit Verification,” in Proc. 2022 International Semiconductor Conference (CAS), Oct. 2022, pp. 137–140. IEEE, doi: 10.1109/CAS56377.2022.9934364.
  5. C. Manolache, A. Caranica, M. Stănescu, H. Cucu, A. Buzo, C. Diaconu, and G. Pelz, “Advanced Operating Conditions Search Applied in Analog Circuit Verification,” in Proc. 2022 18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), Jun. 2022, pp. 1–4. IEEE, doi: 10.1109/SMACD55068.2022.9816209.
  6. G. Nicolae, A. Buzo, H. Cucu, C. Burileanu, and G. Pelz, “Manufacturing Variation Estimation of On Resistance in Power Semiconductors,” in Proc. 2022 18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), Jun. 2022, pp. 1–4. IEEE, doi: 10.1109/SMACD55068.2022.9816218.

2021

  1. V. Vasilescu, A. Neacșu, E. Chouzenoux, J.-C. Pesquet, and C. Burileanu, “A Deep Learning Approach For Improved Segmentation Of Lesions Related To Covid-19 Chest CT Scans,” in Proc. IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, 2021, pp. 635–639, doi: 10.1109/ISBI48211.2021.9434139, ISI WOS:000632622300300.
  2. A. Neacșu, K. Gupta, J.-C. Pesquet, and C. Burileanu, “Signal Denoising Using a New Class of Robust Neural Networks,” in Proc. 28th European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands, 2021, pp. 1492–1496, doi: 10.23919/Eusipco47968.2020.9287630, ISI WOS:000786144100128.
  3. N. Lassau, S. Ammari, E. Chouzenoux, A. Neacșu, et al., “Integrating deep learning CT-scan model, biological and clinical variables to predict the severity of COVID-19 patients,” Nature Communication, vol. 12, no. 634, 2021, doi: 10.1038/s41467-020-20657-4, ISI WOS:000614504800004.
  4. S. Ammari, B. Rabiee, S. Juvină, L. Antonios, R. Sallé de Chou, and C. Balleyguier, “Performance of Conventional and Machine-Learning Approaches for the Diagnosis of Tumor Recurrence on MRI after Radiation Therapy of Brain Metastases,” Austin Journal of Radiology, vol. 8, no. 7, 2021.
  5. A. L. Georgescu, C. Manolache, D. Oneaţă, H. Cucu, and C. Burileanu, “Data-Filtering Methods for Self-Training of Automatic Speech Recognition Systems,” in 2021 IEEE Spoken Language Technology Workshop (SLT), Jan. 2021, pp. 1–7. IEEE, doi: 10.1109/SLT48900.2021.9383577, WOS:000663633300020.
  6. G. Nicolae, A. Buzo, C. Feuerbaum, C. V. Diaconu, H. Cucu, G. Pelz, and C. Burileanu, “Metamodel-Based Prediction of On Resistance for Microelectronic Power Switches,” in Proc. 2021 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS), Dec. 2021, pp. 1–3. IEEE, doi: 10.1109/EDAPS53774.2021.9656996, WOS:000927194000010.

2020

  1. C. Andronache, M. Negru, A. Neacșu, G. Cioroiu, A. Radoi, and C. Burileanu, “Towards Extending Real-Time EMG-Based Gesture Recognition System,” in Proc. 43rd International Conference on Telecommunications and Signal Processing (TSP), Milan, Italy, 2020, pp. 301–304, doi: 10.1109/TSP49548.2020.9163481, ISI WOS:000577106400064. Best Paper Award.
  2. A. Neacșu, J.-C. Pesquet, and C. Burileanu, “Accuracy-Robustness Trade-Off for Positively Weighted Neural Networks,” in Proc. IEEE International Conference on Acoustics and Speech Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 8389–8393, doi: 10.1109/ICASSP40776.2020.9053803, ISI WOS:000615970408132.
  3. C. Manolache, A. L. Georgescu, A. Caranica, and H. Cucu, “Automatic Annotation of Speech Corpora Using Approximate Transcripts,” in Proc. 2020 43rd International Conference on Telecommunications and Signal Processing (TSP), July 2020, pp. 386–391. IEEE, doi: 10.1109/tsp49548.2020.9163405, WOS:000577106400084.
  4. C. Manolache, A. L. Georgescu, V. B. Mititelu, H. Cucu, and C. Burileanu, “Improved Text Normalization and Language Models for SpeeD’s Automatic Speech Recognition System,” in 15th International Conference on Linguistic Resources and Tools for Natural Language Processing (ConsILR), ISSN 1843-911X, vol. 115, 2020, WOS:000659362800011.
  5. A. Gaita, G. Nicolae, E. C. David, A. Buzo, C. Burileanu, and G. Pelz, “A SIFT-Based Waveform Clustering Method for Aiding Analog/Mixed-Signal IC Verification,” in Proc. 2020 IEEE European Test Symposium (ETS), May 2020, pp. 1–2. IEEE, doi: 10.1109/ets48528.2020.9131599, WOS:000615974000037.
  6. G. Nicolae, C. Boianceanu, A. Buzo, C. V. Diaconu, H. Cucu, G. Pelz, and C. Burileanu, “Automatic Parameter Tuning in Finite Element Analysis of Semiconductor Packages,” in Proc. 2020 International Semiconductor Conference (CAS), Oct. 2020, pp. 41–44. IEEE, doi: 10.1109/cas50358.2020.9268036, WOS:000637264600009.

2019

  1. A. Neacșu, G. Cioroiu, A. Rădoi, and C. Burileanu, “Automatic EMG-Based Hand Gesture Recognition System Using Time-Domain Descriptors and Fully-Connected Neural Networks,” in Proc. 42nd International Conference on Telecommunications and Signal Processing (TSP), Budapest, Hungary, 2019, pp. 232–235, doi: 10.1109/TSP.2019.8768831, ISI WOS: 000493442800051.
  2. C. Manolache, H. Cucu, and C. Burileanu, “Lemma-Based Dynamic Time Warping Search for Keyword Spotting Applications in Romanian,” in Proc. 2019 International Conference on Speech Technology and Human-Computer Dialogue (SpeD), Oct. 2019, pp. 1–9. IEEE, doi: 10.1109/sped.2019.8906586, WOS:000571718700021.
  3. G. Nicolae, C. Vlădeanu, L. Saru, C. Burileanu, R. Grozăvescu, G. Crăciun, I. Drugă, and M. Hățiș, “Programming the NAO Humanoid Robot for Behavioral Therapy in Romania,” Romanian Journal of Child & Adolescent Psychiatry, vol. 7, 2019, ISSN: 2360-185X.

2018

  1. A. Gaiţă, G. Nicolae, A. Rădoi, and C. Burileanu, “Chainsaw Sound Detection Based on Spectral Haar Coeffluents,” in Proc. 2018 International Symposium ELMAR, Sept. 2018, pp. 139–142. IEEE, doi: 10.23919/ELMAR.2018.8534594.
  2. G. Nicolae, A. Gaiţă, A. Rădoi, and C. Burileanu, “A Method for Chainsaw Sound Detection Based on Haar-like Features,” in Proc. 2018 41st International Conference on Telecommunications and Signal Processing (TSP), July 2018, pp. 1–5. IEEE, doi: 10.1109/TSP.2018.8441379, WOS:000454845100160.

2017

  1. A. Neacșu, C. Burileanu, and H. Cucu, “Autonomous System for Performing Dexterous, Human-Level Manipulation Tasks as Response to External Stimuli in Real Time,” in Proc. Future Access Enablers for Ubiquitous and Intelligent Infrastructures (FABULOUS), Bucharest, Romania, 2017, vol. 241, pp. 246–252, doi: 10.1007/978-3-319-92213-3_36, ISI WOS: 000481658200036.